From f1c1ca9d7122f46911ee8db40755374250ed3437 Mon Sep 17 00:00:00 2001 From: Sergey Zhukov Date: Wed, 22 Jan 2025 10:47:14 +0300 Subject: [PATCH] Remove use of deprecated dict_id in datafusion-proto (#14173) --- datafusion/common/src/dfschema.rs | 4 +- .../src/physical_optimizer/enforce_sorting.rs | 34 +-- datafusion/core/src/physical_planner.rs | 4 +- .../tests/dataframe/dataframe_functions.rs | 16 +- datafusion/core/tests/dataframe/mod.rs | 2 +- .../physical_optimizer/sanity_checker.rs | 4 +- datafusion/core/tests/sql/select.rs | 2 +- datafusion/optimizer/src/optimizer.rs | 6 +- .../src/windows/bounded_window_agg_exec.rs | 4 +- .../proto/datafusion_common.proto | 3 +- datafusion/proto-common/src/from_proto/mod.rs | 54 +--- .../proto-common/src/generated/prost.rs | 4 +- datafusion/proto-common/src/to_proto/mod.rs | 2 - .../src/generated/datafusion_proto_common.rs | 4 +- .../tests/cases/roundtrip_logical_plan.rs | 39 --- datafusion/sqllogictest/test_files/array.slt | 40 +-- .../sqllogictest/test_files/arrow_typeof.slt | 10 +- .../sqllogictest/test_files/coalesce.slt | 6 +- datafusion/sqllogictest/test_files/copy.slt | 20 -- .../test_files/count_star_rule.slt | 2 +- .../sqllogictest/test_files/group_by.slt | 6 +- datafusion/sqllogictest/test_files/insert.slt | 6 +- .../test_files/insert_to_external.slt | 4 +- datafusion/sqllogictest/test_files/joins.slt | 14 +- datafusion/sqllogictest/test_files/map.slt | 4 +- datafusion/sqllogictest/test_files/regexp.slt | 4 +- datafusion/sqllogictest/test_files/struct.slt | 38 +-- .../sqllogictest/test_files/subquery_sort.slt | 2 +- datafusion/sqllogictest/test_files/union.slt | 2 +- datafusion/sqllogictest/test_files/unnest.slt | 8 +- datafusion/sqllogictest/test_files/window.slt | 234 +++++++++--------- 31 files changed, 242 insertions(+), 340 deletions(-) diff --git a/datafusion/common/src/dfschema.rs b/datafusion/common/src/dfschema.rs index 302d515e027e..8be92e230f5f 100644 --- a/datafusion/common/src/dfschema.rs +++ b/datafusion/common/src/dfschema.rs @@ -1143,8 +1143,8 @@ mod tests { fn from_qualified_schema_into_arrow_schema() -> Result<()> { let schema = DFSchema::try_from_qualified_schema("t1", &test_schema_1())?; let arrow_schema: Schema = schema.into(); - let expected = "Field { name: \"c0\", data_type: Boolean, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, \ - Field { name: \"c1\", data_type: Boolean, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }"; + let expected = "Field { name: \"c0\", data_type: Boolean, nullable: true, dict_is_ordered: false, metadata: {} }, \ + Field { name: \"c1\", data_type: Boolean, nullable: true, dict_is_ordered: false, metadata: {} }"; assert_eq!(expected, arrow_schema.to_string()); Ok(()) } diff --git a/datafusion/core/src/physical_optimizer/enforce_sorting.rs b/datafusion/core/src/physical_optimizer/enforce_sorting.rs index 167f9d6d45e7..a5732014e7b6 100644 --- a/datafusion/core/src/physical_optimizer/enforce_sorting.rs +++ b/datafusion/core/src/physical_optimizer/enforce_sorting.rs @@ -855,17 +855,17 @@ mod tests { let physical_plan = bounded_window_exec("non_nullable_col", sort_exprs, filter); - let expected_input = ["BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + let expected_input = ["BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", " FilterExec: NOT non_nullable_col@1", " SortExec: expr=[non_nullable_col@1 ASC NULLS LAST], preserve_partitioning=[false]", - " BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + " BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", " CoalesceBatchesExec: target_batch_size=128", " SortExec: expr=[non_nullable_col@1 DESC], preserve_partitioning=[false]", " MemoryExec: partitions=1, partition_sizes=[0]"]; - let expected_optimized = ["WindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(NULL), is_causal: false }]", + let expected_optimized = ["WindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(NULL), is_causal: false }]", " FilterExec: NOT non_nullable_col@1", - " BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + " BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", " CoalesceBatchesExec: target_batch_size=128", " SortExec: expr=[non_nullable_col@1 DESC], preserve_partitioning=[false]", " MemoryExec: partitions=1, partition_sizes=[0]"]; @@ -1738,7 +1738,7 @@ mod tests { // corresponding SortExecs together. Also, the inputs of these `SortExec`s // are not necessarily the same to be able to remove them. let expected_input = [ - "BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + "BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", " SortPreservingMergeExec: [nullable_col@0 DESC NULLS LAST]", " UnionExec", " SortExec: expr=[nullable_col@0 DESC NULLS LAST], preserve_partitioning=[false]", @@ -1746,7 +1746,7 @@ mod tests { " SortExec: expr=[nullable_col@0 DESC NULLS LAST], preserve_partitioning=[false]", " ParquetExec: file_groups={1 group: [[x]]}, projection=[nullable_col, non_nullable_col], output_ordering=[nullable_col@0 ASC]"]; let expected_optimized = [ - "WindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(NULL), is_causal: false }]", + "WindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(NULL), is_causal: false }]", " SortPreservingMergeExec: [nullable_col@0 ASC]", " UnionExec", " ParquetExec: file_groups={1 group: [[x]]}, projection=[nullable_col, non_nullable_col], output_ordering=[nullable_col@0 ASC, non_nullable_col@1 ASC]", @@ -1776,14 +1776,14 @@ mod tests { // The `WindowAggExec` can get its required sorting from the leaf nodes directly. // The unnecessary SortExecs should be removed - let expected_input = ["BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + let expected_input = ["BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", " SortPreservingMergeExec: [nullable_col@0 ASC, non_nullable_col@1 ASC]", " UnionExec", " SortExec: expr=[nullable_col@0 ASC, non_nullable_col@1 ASC], preserve_partitioning=[false]", " ParquetExec: file_groups={1 group: [[x]]}, projection=[nullable_col, non_nullable_col], output_ordering=[nullable_col@0 ASC]", " SortExec: expr=[nullable_col@0 ASC, non_nullable_col@1 ASC], preserve_partitioning=[false]", " ParquetExec: file_groups={1 group: [[x]]}, projection=[nullable_col, non_nullable_col], output_ordering=[nullable_col@0 ASC]"]; - let expected_optimized = ["BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + let expected_optimized = ["BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", " SortPreservingMergeExec: [nullable_col@0 ASC]", " UnionExec", " ParquetExec: file_groups={1 group: [[x]]}, projection=[nullable_col, non_nullable_col], output_ordering=[nullable_col@0 ASC]", @@ -2076,15 +2076,15 @@ mod tests { let physical_plan = bounded_window_exec("non_nullable_col", sort_exprs1, window_agg2); - let expected_input = ["BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", - " BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", - " BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + let expected_input = ["BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + " BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + " BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", " SortExec: expr=[nullable_col@0 ASC], preserve_partitioning=[false]", " MemoryExec: partitions=1, partition_sizes=[0]"]; - let expected_optimized = ["BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", - " BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", - " BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + let expected_optimized = ["BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + " BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + " BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", " SortExec: expr=[nullable_col@0 ASC, non_nullable_col@1 ASC], preserve_partitioning=[false]", " MemoryExec: partitions=1, partition_sizes=[0]"]; assert_optimized!(expected_input, expected_optimized, physical_plan, true); @@ -2150,7 +2150,7 @@ mod tests { let expected_input = vec![ "SortExec: expr=[nullable_col@0 ASC], preserve_partitioning=[false]", " RepartitionExec: partitioning=RoundRobinBatch(10), input_partitions=1", - " BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + " BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", " MemoryExec: partitions=1, partition_sizes=[0]", ]; assert_eq!( @@ -2402,7 +2402,7 @@ mod tests { let physical_plan = bounded_window_exec("a", sort_exprs, spm); let expected_input = [ - "BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + "BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", " SortPreservingMergeExec: [a@0 ASC, b@1 ASC]", " RepartitionExec: partitioning=RoundRobinBatch(10), input_partitions=10, preserve_order=true, sort_exprs=a@0 ASC, b@1 ASC", " RepartitionExec: partitioning=RoundRobinBatch(10), input_partitions=1", @@ -2410,7 +2410,7 @@ mod tests { " CsvExec: file_groups={1 group: [[x]]}, projection=[a, b, c, d, e], has_header=false", ]; let expected_optimized = [ - "BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + "BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", " SortExec: expr=[a@0 ASC, b@1 ASC], preserve_partitioning=[false]", " CoalescePartitionsExec", " RepartitionExec: partitioning=RoundRobinBatch(10), input_partitions=10", diff --git a/datafusion/core/src/physical_planner.rs b/datafusion/core/src/physical_planner.rs index 77bf4bb71d38..e966c5b82bf5 100644 --- a/datafusion/core/src/physical_planner.rs +++ b/datafusion/core/src/physical_planner.rs @@ -2277,7 +2277,6 @@ mod tests { [Field { name: \"a\", \ data_type: Int32, \ nullable: false, \ - dict_id: 0, \ dict_is_ordered: false, metadata: {} }], \ metadata: {} }, field_qualifiers: [None], \ functional_dependencies: FunctionalDependencies { deps: [] } }, \ @@ -2285,7 +2284,6 @@ mod tests { [Field { name: \"b\", \ data_type: Int32, \ nullable: false, \ - dict_id: 0, \ dict_is_ordered: false, metadata: {} }], \ metadata: {} }"; match plan { @@ -2333,7 +2331,7 @@ mod tests { assert_contains!( &e, - r#"Error during planning: Can not find compatible types to compare Boolean with [Struct([Field { name: "foo", data_type: Boolean, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }]), Utf8]"# + r#"Error during planning: Can not find compatible types to compare Boolean with [Struct([Field { name: "foo", data_type: Boolean, nullable: false, dict_is_ordered: false, metadata: {} }]), Utf8]"# ); Ok(()) diff --git a/datafusion/core/tests/dataframe/dataframe_functions.rs b/datafusion/core/tests/dataframe/dataframe_functions.rs index 1bd90fce839d..539a7d9f2a80 100644 --- a/datafusion/core/tests/dataframe/dataframe_functions.rs +++ b/datafusion/core/tests/dataframe/dataframe_functions.rs @@ -263,14 +263,14 @@ async fn test_fn_arrow_typeof() -> Result<()> { let expr = arrow_typeof(col("l")); let expected = [ - "+------------------------------------------------------------------------------------------------------------------+", - "| arrow_typeof(test.l) |", - "+------------------------------------------------------------------------------------------------------------------+", - "| List(Field { name: \"item\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) |", - "| List(Field { name: \"item\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) |", - "| List(Field { name: \"item\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) |", - "| List(Field { name: \"item\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) |", - "+------------------------------------------------------------------------------------------------------------------+", + "+------------------------------------------------------------------------------------------------------+", + "| arrow_typeof(test.l) |", + "+------------------------------------------------------------------------------------------------------+", + "| List(Field { name: \"item\", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }) |", + "| List(Field { name: \"item\", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }) |", + "| List(Field { name: \"item\", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }) |", + "| List(Field { name: \"item\", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }) |", + "+------------------------------------------------------------------------------------------------------+", ]; assert_fn_batches!(expr, expected); diff --git a/datafusion/core/tests/dataframe/mod.rs b/datafusion/core/tests/dataframe/mod.rs index 954c46ab27e4..f7a15470ddfc 100644 --- a/datafusion/core/tests/dataframe/mod.rs +++ b/datafusion/core/tests/dataframe/mod.rs @@ -3776,7 +3776,7 @@ async fn unnest_with_redundant_columns() -> Result<()> { let expected = vec![ "Projection: shapes.shape_id [shape_id:UInt32]", " Unnest: lists[shape_id2|depth=1] structs[] [shape_id:UInt32, shape_id2:UInt32;N]", - " Aggregate: groupBy=[[shapes.shape_id]], aggr=[[array_agg(shapes.shape_id) AS shape_id2]] [shape_id:UInt32, shape_id2:List(Field { name: \"item\", data_type: UInt32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} });N]", + " Aggregate: groupBy=[[shapes.shape_id]], aggr=[[array_agg(shapes.shape_id) AS shape_id2]] [shape_id:UInt32, shape_id2:List(Field { name: \"item\", data_type: UInt32, nullable: true, dict_is_ordered: false, metadata: {} });N]", " TableScan: shapes projection=[shape_id] [shape_id:UInt32]", ]; diff --git a/datafusion/core/tests/physical_optimizer/sanity_checker.rs b/datafusion/core/tests/physical_optimizer/sanity_checker.rs index 538f0e443ddb..21a65666c6e7 100644 --- a/datafusion/core/tests/physical_optimizer/sanity_checker.rs +++ b/datafusion/core/tests/physical_optimizer/sanity_checker.rs @@ -308,7 +308,7 @@ async fn test_bounded_window_agg_sort_requirement() -> Result<()> { let sort = sort_exec(sort_exprs.clone(), source); let bw = bounded_window_exec("c9", sort_exprs, sort); assert_plan(bw.as_ref(), vec![ - "BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + "BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", " SortExec: expr=[c9@0 ASC NULLS LAST], preserve_partitioning=[false]", " MemoryExec: partitions=1, partition_sizes=[0]" ]); @@ -331,7 +331,7 @@ async fn test_bounded_window_agg_no_sort_requirement() -> Result<()> { )]; let bw = bounded_window_exec("c9", sort_exprs, source); assert_plan(bw.as_ref(), vec![ - "BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", + "BoundedWindowAggExec: wdw=[count: Ok(Field { name: \"count\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(NULL), end_bound: CurrentRow, is_causal: false }], mode=[Sorted]", " MemoryExec: partitions=1, partition_sizes=[0]" ]); // Order requirement of the `BoundedWindowAggExec` is not satisfied. We expect to receive error during sanity check. diff --git a/datafusion/core/tests/sql/select.rs b/datafusion/core/tests/sql/select.rs index 6e81bf6410c1..1ce3ce74c943 100644 --- a/datafusion/core/tests/sql/select.rs +++ b/datafusion/core/tests/sql/select.rs @@ -224,7 +224,7 @@ async fn test_parameter_invalid_types() -> Result<()> { .await; assert_eq!( results.unwrap_err().strip_backtrace(), - "type_coercion\ncaused by\nError during planning: Cannot infer common argument type for comparison operation List(Field { name: \"item\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) = Int32" + "type_coercion\ncaused by\nError during planning: Cannot infer common argument type for comparison operation List(Field { name: \"item\", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }) = Int32" ); Ok(()) } diff --git a/datafusion/optimizer/src/optimizer.rs b/datafusion/optimizer/src/optimizer.rs index 49bce3c1ce82..7e5a8e227e76 100644 --- a/datafusion/optimizer/src/optimizer.rs +++ b/datafusion/optimizer/src/optimizer.rs @@ -558,9 +558,9 @@ mod tests { }, \ new schema: DFSchema { inner: Schema { \ fields: [\ - Field { name: \"a\", data_type: UInt32, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }, \ - Field { name: \"b\", data_type: UInt32, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }, \ - Field { name: \"c\", data_type: UInt32, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }\ + Field { name: \"a\", data_type: UInt32, nullable: false, dict_is_ordered: false, metadata: {} }, \ + Field { name: \"b\", data_type: UInt32, nullable: false, dict_is_ordered: false, metadata: {} }, \ + Field { name: \"c\", data_type: UInt32, nullable: false, dict_is_ordered: false, metadata: {} }\ ], \ metadata: {} }, \ field_qualifiers: [Some(Bare { table: \"test\" }), Some(Bare { table: \"test\" }), Some(Bare { table: \"test\" })], \ diff --git a/datafusion/physical-plan/src/windows/bounded_window_agg_exec.rs b/datafusion/physical-plan/src/windows/bounded_window_agg_exec.rs index 2ac86da92e50..a70532200ba6 100644 --- a/datafusion/physical-plan/src/windows/bounded_window_agg_exec.rs +++ b/datafusion/physical-plan/src/windows/bounded_window_agg_exec.rs @@ -1617,7 +1617,7 @@ mod tests { let batches = collect(physical_plan.execute(0, task_ctx)?).await?; let expected = vec![ - "BoundedWindowAggExec: wdw=[last: Ok(Field { name: \"last\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: true }, nth_value(-1): Ok(Field { name: \"nth_value(-1)\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: true }, nth_value(-2): Ok(Field { name: \"nth_value(-2)\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: true }], mode=[Sorted]", + "BoundedWindowAggExec: wdw=[last: Ok(Field { name: \"last\", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: true }, nth_value(-1): Ok(Field { name: \"nth_value(-1)\", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: true }, nth_value(-2): Ok(Field { name: \"nth_value(-2)\", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: true }], mode=[Sorted]", " MemoryExec: partitions=1, partition_sizes=[3]", ]; // Get string representation of the plan @@ -1741,7 +1741,7 @@ mod tests { let expected_plan = vec![ "ProjectionExec: expr=[sn@0 as sn, hash@1 as hash, count([Column { name: \"sn\", index: 0 }]) PARTITION BY: [[Column { name: \"hash\", index: 1 }]], ORDER BY: [LexOrdering { inner: [PhysicalSortExpr { expr: Column { name: \"sn\", index: 0 }, options: SortOptions { descending: false, nulls_first: true } }] }]@2 as col_2]", - " BoundedWindowAggExec: wdw=[count([Column { name: \"sn\", index: 0 }]) PARTITION BY: [[Column { name: \"hash\", index: 1 }]], ORDER BY: [LexOrdering { inner: [PhysicalSortExpr { expr: Column { name: \"sn\", index: 0 }, options: SortOptions { descending: false, nulls_first: true } }] }]: Ok(Field { name: \"count([Column { name: \\\"sn\\\", index: 0 }]) PARTITION BY: [[Column { name: \\\"hash\\\", index: 1 }]], ORDER BY: [LexOrdering { inner: [PhysicalSortExpr { expr: Column { name: \\\"sn\\\", index: 0 }, options: SortOptions { descending: false, nulls_first: true } }] }]\", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(UInt64(1)), is_causal: false }], mode=[Linear]", + " BoundedWindowAggExec: wdw=[count([Column { name: \"sn\", index: 0 }]) PARTITION BY: [[Column { name: \"hash\", index: 1 }]], ORDER BY: [LexOrdering { inner: [PhysicalSortExpr { expr: Column { name: \"sn\", index: 0 }, options: SortOptions { descending: false, nulls_first: true } }] }]: Ok(Field { name: \"count([Column { name: \\\"sn\\\", index: 0 }]) PARTITION BY: [[Column { name: \\\"hash\\\", index: 1 }]], ORDER BY: [LexOrdering { inner: [PhysicalSortExpr { expr: Column { name: \\\"sn\\\", index: 0 }, options: SortOptions { descending: false, nulls_first: true } }] }]\", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(UInt64(1)), is_causal: false }], mode=[Linear]", " StreamingTableExec: partition_sizes=1, projection=[sn, hash], infinite_source=true, output_ordering=[sn@0 ASC NULLS LAST]", ]; diff --git a/datafusion/proto-common/proto/datafusion_common.proto b/datafusion/proto-common/proto/datafusion_common.proto index 6a7dc1604b0a..9edab5321aeb 100644 --- a/datafusion/proto-common/proto/datafusion_common.proto +++ b/datafusion/proto-common/proto/datafusion_common.proto @@ -108,8 +108,7 @@ message Field { // for complex data types like structs, unions repeated Field children = 4; map metadata = 5; - int64 dict_id = 6; - bool dict_ordered = 7; + bool dict_ordered = 6; } message Timestamp{ diff --git a/datafusion/proto-common/src/from_proto/mod.rs b/datafusion/proto-common/src/from_proto/mod.rs index 37462acec7be..af09568380b3 100644 --- a/datafusion/proto-common/src/from_proto/mod.rs +++ b/datafusion/proto-common/src/from_proto/mod.rs @@ -320,21 +320,8 @@ impl TryFrom<&protobuf::Field> for Field { type Error = Error; fn try_from(field: &protobuf::Field) -> Result { let datatype = field.arrow_type.as_deref().required("arrow_type")?; - let field = if field.dict_id != 0 { - #[allow(deprecated)] - Self::new_dict( - field.name.as_str(), - datatype, - field.nullable, - field.dict_id, - field.dict_ordered, - ) - .with_metadata(field.metadata.clone()) - } else { - Self::new(field.name.as_str(), datatype, field.nullable) - .with_metadata(field.metadata.clone()) - }; - Ok(field) + Ok(Self::new(field.name.as_str(), datatype, field.nullable) + .with_metadata(field.metadata.clone())) } } @@ -435,35 +422,18 @@ impl TryFrom<&protobuf::ScalarValue> for ScalarValue { let id = dict_batch.id(); - let fields_using_this_dictionary = { - #[allow(deprecated)] - schema.fields_with_dict_id(id) - }; + let record_batch = read_record_batch( + &buffer, + dict_batch.data().unwrap(), + Arc::new(schema.clone()), + &Default::default(), + None, + &message.version(), + )?; - let first_field = fields_using_this_dictionary.first().ok_or_else(|| { - Error::General("dictionary id not found in schema while deserializing ScalarValue::List".to_string()) - })?; + let values: ArrayRef = Arc::clone(record_batch.column(0)); - let values: ArrayRef = match first_field.data_type() { - DataType::Dictionary(_, ref value_type) => { - // Make a fake schema for the dictionary batch. - let value = value_type.as_ref().clone(); - let schema = Schema::new(vec![Field::new("", value, true)]); - // Read a single column - let record_batch = read_record_batch( - &buffer, - dict_batch.data().unwrap(), - Arc::new(schema), - &Default::default(), - None, - &message.version(), - )?; - Ok(Arc::clone(record_batch.column(0))) - } - _ => Err(Error::General("dictionary id not found in schema while deserializing ScalarValue::List".to_string())), - }?; - - Ok((id,values)) + Ok((id, values)) }).collect::>>()?; let record_batch = read_record_batch( diff --git a/datafusion/proto-common/src/generated/prost.rs b/datafusion/proto-common/src/generated/prost.rs index 3263c1c755af..cb20b4b30d9a 100644 --- a/datafusion/proto-common/src/generated/prost.rs +++ b/datafusion/proto-common/src/generated/prost.rs @@ -106,9 +106,7 @@ pub struct Field { ::prost::alloc::string::String, ::prost::alloc::string::String, >, - #[prost(int64, tag = "6")] - pub dict_id: i64, - #[prost(bool, tag = "7")] + #[prost(bool, tag = "6")] pub dict_ordered: bool, } #[derive(Clone, PartialEq, ::prost::Message)] diff --git a/datafusion/proto-common/src/to_proto/mod.rs b/datafusion/proto-common/src/to_proto/mod.rs index c69f7b85f488..1a08b4bbb263 100644 --- a/datafusion/proto-common/src/to_proto/mod.rs +++ b/datafusion/proto-common/src/to_proto/mod.rs @@ -97,8 +97,6 @@ impl TryFrom<&Field> for protobuf::Field { nullable: field.is_nullable(), children: Vec::new(), metadata: field.metadata().clone(), - #[allow(deprecated)] - dict_id: field.dict_id().unwrap_or(0), dict_ordered: field.dict_is_ordered().unwrap_or(false), }) } diff --git a/datafusion/proto/src/generated/datafusion_proto_common.rs b/datafusion/proto/src/generated/datafusion_proto_common.rs index 3263c1c755af..cb20b4b30d9a 100644 --- a/datafusion/proto/src/generated/datafusion_proto_common.rs +++ b/datafusion/proto/src/generated/datafusion_proto_common.rs @@ -106,9 +106,7 @@ pub struct Field { ::prost::alloc::string::String, ::prost::alloc::string::String, >, - #[prost(int64, tag = "6")] - pub dict_id: i64, - #[prost(bool, tag = "7")] + #[prost(bool, tag = "6")] pub dict_ordered: bool, } #[derive(Clone, PartialEq, ::prost::Message)] diff --git a/datafusion/proto/tests/cases/roundtrip_logical_plan.rs b/datafusion/proto/tests/cases/roundtrip_logical_plan.rs index 3544e6c28ba2..66e4199a904c 100644 --- a/datafusion/proto/tests/cases/roundtrip_logical_plan.rs +++ b/datafusion/proto/tests/cases/roundtrip_logical_plan.rs @@ -1815,45 +1815,6 @@ fn round_trip_datatype() { } } -// TODO file a ticket about handling deprecated dict_id attributes -#[allow(deprecated)] -#[test] -fn roundtrip_dict_id() -> Result<()> { - let dict_id = 42; - let field = Field::new( - "keys", - DataType::List(Arc::new(Field::new_dict( - "item", - DataType::Dictionary(Box::new(DataType::UInt16), Box::new(DataType::Utf8)), - true, - dict_id, - false, - ))), - false, - ); - let schema = Arc::new(Schema::new(vec![field])); - - // encode - let mut buf: Vec = vec![]; - let schema_proto: protobuf::Schema = schema.try_into().unwrap(); - schema_proto.encode(&mut buf).unwrap(); - - // decode - let schema_proto = protobuf::Schema::decode(buf.as_slice()).unwrap(); - let decoded: Schema = (&schema_proto).try_into()?; - - // assert - let keys = decoded.fields().iter().last().unwrap(); - match keys.data_type() { - DataType::List(field) => { - assert_eq!(field.dict_id(), Some(dict_id), "dict_id should be retained"); - } - _ => panic!("Invalid type"), - } - - Ok(()) -} - #[test] fn roundtrip_null_scalar_values() { let test_types = vec![ diff --git a/datafusion/sqllogictest/test_files/array.slt b/datafusion/sqllogictest/test_files/array.slt index 9a0a25f62066..90b4e46a082a 100644 --- a/datafusion/sqllogictest/test_files/array.slt +++ b/datafusion/sqllogictest/test_files/array.slt @@ -692,13 +692,13 @@ select query TTT select arrow_typeof(column1), arrow_typeof(column2), arrow_typeof(column3) from arrays; ---- -List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) -List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) -List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) -List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) -List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) -List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) -List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), nullable: true, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), nullable: true, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), nullable: true, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), nullable: true, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), nullable: true, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), nullable: true, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), nullable: true, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }) List(Field { name: "item", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }) # arrays table query ??? @@ -1164,7 +1164,7 @@ select make_array(make_array(1), arrow_cast(make_array(-1), 'LargeList(Int8)')) query T select arrow_typeof(make_array(make_array(1), arrow_cast(make_array(-1), 'LargeList(Int8)'))); ---- -List(Field { name: "item", data_type: LargeList(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: LargeList(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), nullable: true, dict_is_ordered: false, metadata: {} }) query ??? @@ -3989,7 +3989,7 @@ NULL [baz] baz query T SELECT arrow_typeof(make_array(arrow_cast('a', 'Utf8View'), 'b', 'c', 'd')); ---- -List(Field { name: "item", data_type: Utf8View, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: Utf8View, nullable: true, dict_is_ordered: false, metadata: {} }) # expect a,b,c,d. make_array forces all types to be of a common type (see above) query T @@ -6697,8 +6697,8 @@ CREATE EXTERNAL TABLE fixed_size_list_array STORED AS PARQUET LOCATION '../core/ query T select arrow_typeof(f0) from fixed_size_list_array; ---- -FixedSizeList(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, 2) -FixedSizeList(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, 2) +FixedSizeList(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }, 2) +FixedSizeList(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }, 2) query ? select * from fixed_size_list_array; @@ -6727,8 +6727,8 @@ select make_array(arrow_cast(f0, 'List(Int64)')) from fixed_size_list_array query T select arrow_typeof(make_array(arrow_cast(f0, 'List(Int64)'))) from fixed_size_list_array ---- -List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) -List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), nullable: true, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), nullable: true, dict_is_ordered: false, metadata: {} }) query ? select make_array(f0) from fixed_size_list_array @@ -6739,8 +6739,8 @@ select make_array(f0) from fixed_size_list_array query T select arrow_typeof(make_array(f0)) from fixed_size_list_array ---- -List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) -List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), nullable: true, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), nullable: true, dict_is_ordered: false, metadata: {} }) query ? @@ -7282,19 +7282,19 @@ select * from test_create_array_table; query T select arrow_typeof(a) from test_create_array_table; ---- -List(Field { name: "item", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }) query T select arrow_typeof(c) from test_create_array_table; ---- -List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), nullable: true, dict_is_ordered: false, metadata: {} }) # Test casting to array types # issue: https://github.com/apache/datafusion/issues/9440 query ??T select [1,2,3]::int[], [['1']]::int[][], arrow_typeof([]::text[]); ---- -[1, 2, 3] [[1]] List(Field { name: "item", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +[1, 2, 3] [[1]] List(Field { name: "item", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }) # test empty arrays return length # issue: https://github.com/apache/datafusion/pull/12459 @@ -7314,8 +7314,8 @@ create table fixed_size_col_table (a int[3]) as values ([1,2,3]), ([4,5,6]); query T select arrow_typeof(a) from fixed_size_col_table; ---- -FixedSizeList(Field { name: "item", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, 3) -FixedSizeList(Field { name: "item", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, 3) +FixedSizeList(Field { name: "item", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }, 3) +FixedSizeList(Field { name: "item", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }, 3) statement error create table varying_fixed_size_col_table (a int[3]) as values ([1,2,3]), ([4,5]); diff --git a/datafusion/sqllogictest/test_files/arrow_typeof.slt b/datafusion/sqllogictest/test_files/arrow_typeof.slt index 77b10b41ccb3..7f3ed0d723e2 100644 --- a/datafusion/sqllogictest/test_files/arrow_typeof.slt +++ b/datafusion/sqllogictest/test_files/arrow_typeof.slt @@ -357,12 +357,12 @@ select arrow_cast(make_array(1, 2, 3), 'List(Int64)'); query T select arrow_typeof(arrow_cast(make_array(1, 2, 3), 'List(Int64)')); ---- -List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }) query T select arrow_typeof(arrow_cast(arrow_cast(make_array([1, 2, 3]), 'LargeList(LargeList(Int64))'), 'List(List(Int64))')); ---- -List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), nullable: true, dict_is_ordered: false, metadata: {} }) ## LargeList @@ -380,12 +380,12 @@ select arrow_cast(make_array(1, 2, 3), 'LargeList(Int64)'); query T select arrow_typeof(arrow_cast(make_array(1, 2, 3), 'LargeList(Int64)')); ---- -LargeList(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +LargeList(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }) query T select arrow_typeof(arrow_cast(make_array([1, 2, 3]), 'LargeList(LargeList(Int64))')); ---- -LargeList(Field { name: "item", data_type: LargeList(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +LargeList(Field { name: "item", data_type: LargeList(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), nullable: true, dict_is_ordered: false, metadata: {} }) ## FixedSizeList @@ -417,7 +417,7 @@ select arrow_cast(make_array(1, 2, 3), 'FixedSizeList(3, Int64)'); query T select arrow_typeof(arrow_cast(arrow_cast(make_array(1, 2, 3), 'LargeList(Int64)'), 'FixedSizeList(3, Int64)')); ---- -FixedSizeList(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, 3) +FixedSizeList(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }, 3) query ? select arrow_cast([1, 2, 3], 'FixedSizeList(3, Int64)'); diff --git a/datafusion/sqllogictest/test_files/coalesce.slt b/datafusion/sqllogictest/test_files/coalesce.slt index 06460a005c20..f23c347d8675 100644 --- a/datafusion/sqllogictest/test_files/coalesce.slt +++ b/datafusion/sqllogictest/test_files/coalesce.slt @@ -199,14 +199,14 @@ select coalesce(array[1, 2], array[3, 4]), arrow_typeof(coalesce(array[1, 2], array[3, 4])); ---- -[1, 2] List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +[1, 2] List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }) query ?T select coalesce(null, array[3, 4]), arrow_typeof(coalesce(array[1, 2], array[3, 4])); ---- -[3, 4] List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +[3, 4] List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }) # coalesce with array query ?T @@ -214,7 +214,7 @@ select coalesce(array[1, 2], array[arrow_cast(3, 'Int32'), arrow_cast(4, 'Int32')]), arrow_typeof(coalesce(array[1, 2], array[arrow_cast(3, 'Int32'), arrow_cast(4, 'Int32')])); ---- -[1, 2] List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +[1, 2] List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }) # test dict(int32, utf8) statement ok diff --git a/datafusion/sqllogictest/test_files/copy.slt b/datafusion/sqllogictest/test_files/copy.slt index caa708483a11..90bd34539b64 100644 --- a/datafusion/sqllogictest/test_files/copy.slt +++ b/datafusion/sqllogictest/test_files/copy.slt @@ -538,26 +538,6 @@ select * from validate_arrow_file; 1 Foo 2 Bar -# Copy from dict encoded values to single arrow file -query I -COPY (values -('c', arrow_cast('foo', 'Dictionary(Int32, Utf8)')), ('d', arrow_cast('bar', 'Dictionary(Int32, Utf8)'))) -to 'test_files/scratch/copy/table_dict.arrow' STORED AS ARROW; ----- -2 - -# Validate single csv output -statement ok -CREATE EXTERNAL TABLE validate_arrow_file_dict -STORED AS arrow -LOCATION 'test_files/scratch/copy/table_dict.arrow'; - -query TT -select * from validate_arrow_file_dict; ----- -c foo -d bar - # Copy from table to folder of json query I diff --git a/datafusion/sqllogictest/test_files/count_star_rule.slt b/datafusion/sqllogictest/test_files/count_star_rule.slt index 3625da68b39e..f61a63131562 100644 --- a/datafusion/sqllogictest/test_files/count_star_rule.slt +++ b/datafusion/sqllogictest/test_files/count_star_rule.slt @@ -85,7 +85,7 @@ logical_plan 03)----TableScan: t1 projection=[a] physical_plan 01)ProjectionExec: expr=[a@0 as a, count() PARTITION BY [t1.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@1 as count_a] -02)--WindowAggExec: wdw=[count() PARTITION BY [t1.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "count() PARTITION BY [t1.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }] +02)--WindowAggExec: wdw=[count() PARTITION BY [t1.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "count() PARTITION BY [t1.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }] 03)----SortExec: expr=[a@0 ASC NULLS LAST], preserve_partitioning=[false] 04)------MemoryExec: partitions=1, partition_sizes=[1] diff --git a/datafusion/sqllogictest/test_files/group_by.slt b/datafusion/sqllogictest/test_files/group_by.slt index 056f88450c9f..6d4df0bc9663 100644 --- a/datafusion/sqllogictest/test_files/group_by.slt +++ b/datafusion/sqllogictest/test_files/group_by.slt @@ -3578,7 +3578,7 @@ physical_plan 07)------------AggregateExec: mode=Partial, gby=[sn@2 as sn, zip_code@0 as zip_code, country@1 as country, ts@3 as ts, currency@4 as currency, amount@5 as amount, sum_amount@6 as sum_amount], aggr=[] 08)--------------RepartitionExec: partitioning=RoundRobinBatch(8), input_partitions=1 09)----------------ProjectionExec: expr=[zip_code@0 as zip_code, country@1 as country, sn@2 as sn, ts@3 as ts, currency@4 as currency, amount@5 as amount, sum(l.amount) ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@6 as sum_amount] -10)------------------BoundedWindowAggExec: wdw=[sum(l.amount) ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(l.amount) ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +10)------------------BoundedWindowAggExec: wdw=[sum(l.amount) ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(l.amount) ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] 11)--------------------MemoryExec: partitions=1, partition_sizes=[1] @@ -3875,7 +3875,7 @@ physical_plan 04)------HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d@1, d@1)], filter=CAST(a@0 AS Int64) >= CAST(a@1 AS Int64) - 10, projection=[a@0, d@1, row_n@4] 05)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a, d], output_ordering=[a@0 ASC NULLS LAST], has_header=true 06)--------ProjectionExec: expr=[a@0 as a, d@1 as d, row_number() ORDER BY [r.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as row_n] -07)----------BoundedWindowAggExec: wdw=[row_number() ORDER BY [r.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [r.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +07)----------BoundedWindowAggExec: wdw=[row_number() ORDER BY [r.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [r.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 08)------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a, d], output_ordering=[a@0 ASC NULLS LAST], has_header=true # reset partition number to 8. @@ -3997,7 +3997,7 @@ logical_plan 05)--------TableScan: multiple_ordered_table_with_pk projection=[b, c, d] physical_plan 01)ProjectionExec: expr=[c@0 as c, sum1@2 as sum1, sum(multiple_ordered_table_with_pk.b) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@3 as sumb] -02)--WindowAggExec: wdw=[sum(multiple_ordered_table_with_pk.b) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(multiple_ordered_table_with_pk.b) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }] +02)--WindowAggExec: wdw=[sum(multiple_ordered_table_with_pk.b) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(multiple_ordered_table_with_pk.b) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }] 03)----ProjectionExec: expr=[c@0 as c, b@1 as b, sum(multiple_ordered_table_with_pk.d)@2 as sum1] 04)------AggregateExec: mode=Single, gby=[c@1 as c, b@0 as b], aggr=[sum(multiple_ordered_table_with_pk.d)], ordering_mode=PartiallySorted([0]) 05)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[b, c, d], output_ordering=[c@1 ASC NULLS LAST], constraints=[PrimaryKey([3])], has_header=true diff --git a/datafusion/sqllogictest/test_files/insert.slt b/datafusion/sqllogictest/test_files/insert.slt index 804612287246..dcfa684c77e2 100644 --- a/datafusion/sqllogictest/test_files/insert.slt +++ b/datafusion/sqllogictest/test_files/insert.slt @@ -68,7 +68,7 @@ physical_plan 02)--ProjectionExec: expr=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@0 as field1, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@1 as field2] 03)----SortPreservingMergeExec: [c1@2 ASC NULLS LAST] 04)------ProjectionExec: expr=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@3 as sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@4 as count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING, c1@0 as c1] -05)--------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] 06)----------SortExec: expr=[c1@0 ASC NULLS LAST, c9@2 ASC NULLS LAST], preserve_partitioning=[true] 07)------------CoalesceBatchesExec: target_batch_size=8192 08)--------------RepartitionExec: partitioning=Hash([c1@0], 8), input_partitions=8 @@ -128,7 +128,7 @@ physical_plan 01)DataSinkExec: sink=MemoryTable (partitions=1) 02)--CoalescePartitionsExec 03)----ProjectionExec: expr=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@3 as field1, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@4 as field2] -04)------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] 05)--------SortExec: expr=[c1@0 ASC NULLS LAST, c9@2 ASC NULLS LAST], preserve_partitioning=[true] 06)----------CoalesceBatchesExec: target_batch_size=8192 07)------------RepartitionExec: partitioning=Hash([c1@0], 8), input_partitions=8 @@ -179,7 +179,7 @@ physical_plan 02)--ProjectionExec: expr=[a1@0 as a1, a2@1 as a2] 03)----SortPreservingMergeExec: [c1@2 ASC NULLS LAST] 04)------ProjectionExec: expr=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@3 as a1, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@4 as a2, c1@0 as c1] -05)--------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] 06)----------SortExec: expr=[c1@0 ASC NULLS LAST, c9@2 ASC NULLS LAST], preserve_partitioning=[true] 07)------------CoalesceBatchesExec: target_batch_size=8192 08)--------------RepartitionExec: partitioning=Hash([c1@0], 8), input_partitions=8 diff --git a/datafusion/sqllogictest/test_files/insert_to_external.slt b/datafusion/sqllogictest/test_files/insert_to_external.slt index 2a2aecf2f2cc..e4c03f6b00a0 100644 --- a/datafusion/sqllogictest/test_files/insert_to_external.slt +++ b/datafusion/sqllogictest/test_files/insert_to_external.slt @@ -357,7 +357,7 @@ physical_plan 02)--ProjectionExec: expr=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@0 as field1, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@1 as field2] 03)----SortPreservingMergeExec: [c1@2 ASC NULLS LAST] 04)------ProjectionExec: expr=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@3 as sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@4 as count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING, c1@0 as c1] -05)--------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] 06)----------SortExec: expr=[c1@0 ASC NULLS LAST, c9@2 ASC NULLS LAST], preserve_partitioning=[true] 07)------------CoalesceBatchesExec: target_batch_size=8192 08)--------------RepartitionExec: partitioning=Hash([c1@0], 8), input_partitions=8 @@ -418,7 +418,7 @@ physical_plan 01)DataSinkExec: sink=ParquetSink(file_groups=[]) 02)--CoalescePartitionsExec 03)----ProjectionExec: expr=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@3 as field1, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@4 as field2] -04)------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] 05)--------SortExec: expr=[c1@0 ASC NULLS LAST, c9@2 ASC NULLS LAST], preserve_partitioning=[true] 06)----------CoalesceBatchesExec: target_batch_size=8192 07)------------RepartitionExec: partitioning=Hash([c1@0], 8), input_partitions=8 diff --git a/datafusion/sqllogictest/test_files/joins.slt b/datafusion/sqllogictest/test_files/joins.slt index 68426f180d99..8253a044072a 100644 --- a/datafusion/sqllogictest/test_files/joins.slt +++ b/datafusion/sqllogictest/test_files/joins.slt @@ -3246,7 +3246,7 @@ physical_plan 04)------RepartitionExec: partitioning=Hash([a@1], 2), input_partitions=2, preserve_order=true, sort_exprs=a@1 ASC, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST, rn1@5 ASC NULLS LAST 05)--------RepartitionExec: partitioning=RoundRobinBatch(2), input_partitions=1 06)----------ProjectionExec: expr=[a0@0 as a0, a@1 as a, b@2 as b, c@3 as c, d@4 as d, row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@5 as rn1] -07)------------BoundedWindowAggExec: wdw=[row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] +07)------------BoundedWindowAggExec: wdw=[row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] 08)--------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a0, a, b, c, d], output_ordering=[a@1 ASC, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST], has_header=true 09)----CoalesceBatchesExec: target_batch_size=2 10)------RepartitionExec: partitioning=Hash([a@1], 2), input_partitions=2, preserve_order=true, sort_exprs=a@1 ASC, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST @@ -3284,7 +3284,7 @@ physical_plan 08)------RepartitionExec: partitioning=Hash([a@1], 2), input_partitions=2, preserve_order=true, sort_exprs=a@1 ASC, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST, rn1@5 ASC NULLS LAST 09)--------RepartitionExec: partitioning=RoundRobinBatch(2), input_partitions=1 10)----------ProjectionExec: expr=[a0@0 as a0, a@1 as a, b@2 as b, c@3 as c, d@4 as d, row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@5 as rn1] -11)------------BoundedWindowAggExec: wdw=[row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] +11)------------BoundedWindowAggExec: wdw=[row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] 12)--------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a0, a, b, c, d], output_ordering=[a@1 ASC, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST], has_header=true statement ok @@ -3323,14 +3323,14 @@ physical_plan 06)----------RepartitionExec: partitioning=Hash([a@1], 2), input_partitions=2 07)------------RepartitionExec: partitioning=RoundRobinBatch(2), input_partitions=1 08)--------------ProjectionExec: expr=[a0@0 as a0, a@1 as a, b@2 as b, c@3 as c, d@4 as d, row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@5 as rn1] -09)----------------BoundedWindowAggExec: wdw=[row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] +09)----------------BoundedWindowAggExec: wdw=[row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] 10)------------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a0, a, b, c, d], output_ordering=[a@1 ASC, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST], has_header=true 11)------SortExec: expr=[a@1 ASC], preserve_partitioning=[true] 12)--------CoalesceBatchesExec: target_batch_size=2 13)----------RepartitionExec: partitioning=Hash([a@1], 2), input_partitions=2 14)------------RepartitionExec: partitioning=RoundRobinBatch(2), input_partitions=1 15)--------------ProjectionExec: expr=[a0@0 as a0, a@1 as a, b@2 as b, c@3 as c, d@4 as d, row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@5 as rn1] -16)----------------BoundedWindowAggExec: wdw=[row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] +16)----------------BoundedWindowAggExec: wdw=[row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] 17)------------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a0, a, b, c, d], output_ordering=[a@1 ASC, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST], has_header=true statement ok @@ -3365,7 +3365,7 @@ physical_plan 02)--HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(a@1, a@1)] 03)----CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a0, a, b, c, d], output_ordering=[a@1 ASC, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST], has_header=true 04)----ProjectionExec: expr=[a0@0 as a0, a@1 as a, b@2 as b, c@3 as c, d@4 as d, row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@5 as rn1] -05)------BoundedWindowAggExec: wdw=[row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] +05)------BoundedWindowAggExec: wdw=[row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] 06)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a0, a, b, c, d], output_ordering=[a@1 ASC, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST], has_header=true # hash join should propagate ordering equivalence of the right side for RIGHT ANTI join. @@ -3392,7 +3392,7 @@ physical_plan 02)--HashJoinExec: mode=CollectLeft, join_type=RightAnti, on=[(a@0, a@1)] 03)----CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a], output_ordering=[a@0 ASC], has_header=true 04)----ProjectionExec: expr=[a0@0 as a0, a@1 as a, b@2 as b, c@3 as c, d@4 as d, row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@5 as rn1] -05)------BoundedWindowAggExec: wdw=[row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] +05)------BoundedWindowAggExec: wdw=[row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] 06)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a0, a, b, c, d], output_ordering=[a@1 ASC, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST], has_header=true query TT @@ -3467,7 +3467,7 @@ physical_plan 04)------HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(d@1, d@1)], filter=CAST(a@0 AS Int64) >= CAST(a@1 AS Int64) - 10, projection=[a@0, d@1, row_n@4] 05)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a, d], output_ordering=[a@0 ASC NULLS LAST], has_header=true 06)--------ProjectionExec: expr=[a@0 as a, d@1 as d, row_number() ORDER BY [r.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as row_n] -07)----------BoundedWindowAggExec: wdw=[row_number() ORDER BY [r.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [r.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +07)----------BoundedWindowAggExec: wdw=[row_number() ORDER BY [r.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [r.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 08)------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a, d], output_ordering=[a@0 ASC NULLS LAST], has_header=true # run query above in multiple partitions diff --git a/datafusion/sqllogictest/test_files/map.slt b/datafusion/sqllogictest/test_files/map.slt index 706a98ee8c52..5292383bb705 100644 --- a/datafusion/sqllogictest/test_files/map.slt +++ b/datafusion/sqllogictest/test_files/map.slt @@ -40,8 +40,8 @@ LOCATION '../core/tests/data/parquet_map.parquet'; query TTT describe data; ---- -ints Map(Field { name: "entries", data_type: Struct([Field { name: "key", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "value", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }]), nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }, false) NO -strings Map(Field { name: "entries", data_type: Struct([Field { name: "key", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "value", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }]), nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }, false) NO +ints Map(Field { name: "entries", data_type: Struct([Field { name: "key", data_type: Utf8, nullable: false, dict_is_ordered: false, metadata: {} }, Field { name: "value", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }]), nullable: false, dict_is_ordered: false, metadata: {} }, false) NO +strings Map(Field { name: "entries", data_type: Struct([Field { name: "key", data_type: Utf8, nullable: false, dict_is_ordered: false, metadata: {} }, Field { name: "value", data_type: Utf8, nullable: false, dict_is_ordered: false, metadata: {} }]), nullable: false, dict_is_ordered: false, metadata: {} }, false) NO timestamp Utf8View NO query ??T diff --git a/datafusion/sqllogictest/test_files/regexp.slt b/datafusion/sqllogictest/test_files/regexp.slt index 800026dd766d..51e00ac90bd0 100644 --- a/datafusion/sqllogictest/test_files/regexp.slt +++ b/datafusion/sqllogictest/test_files/regexp.slt @@ -431,8 +431,8 @@ SELECT 'foo\nbar\nbaz' ~ 'bar'; true statement error -Error during planning: Cannot infer common argument type for regex operation List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata -: {} }) ~ List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +Error during planning: Cannot infer common argument type for regex operation List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata +: {} }) ~ List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }) select [1,2] ~ [3]; query B diff --git a/datafusion/sqllogictest/test_files/struct.slt b/datafusion/sqllogictest/test_files/struct.slt index b05e86e5ea91..d8874a702e3e 100644 --- a/datafusion/sqllogictest/test_files/struct.slt +++ b/datafusion/sqllogictest/test_files/struct.slt @@ -53,9 +53,9 @@ select * from struct_values; query TT select arrow_typeof(s1), arrow_typeof(s2) from struct_values; ---- -Struct([Field { name: "c0", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) Struct([Field { name: "a", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) -Struct([Field { name: "c0", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) Struct([Field { name: "a", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) -Struct([Field { name: "c0", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) Struct([Field { name: "a", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "c0", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }]) Struct([Field { name: "a", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "c0", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }]) Struct([Field { name: "a", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "c0", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }]) Struct([Field { name: "a", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }]) # struct[i] @@ -229,12 +229,12 @@ select named_struct('field_a', 1, 'field_b', 2); query T select arrow_typeof(named_struct('first', 1, 'second', 2, 'third', 3)); ---- -Struct([Field { name: "first", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "second", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "third", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "first", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "second", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "third", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }]) query T select arrow_typeof({'first': 1, 'second': 2, 'third': 3}); ---- -Struct([Field { name: "first", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "second", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "third", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "first", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "second", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "third", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }]) # test nested struct literal query ? @@ -392,7 +392,7 @@ create table t(a struct, b struct) as valu query T select arrow_typeof([a, b]) from t; ---- -List(Field { name: "item", data_type: Struct([Field { name: "r", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "c", data_type: Float32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: Struct([Field { name: "r", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "c", data_type: Float32, nullable: true, dict_is_ordered: false, metadata: {} }]), nullable: true, dict_is_ordered: false, metadata: {} }) query ? select [a, b] from t; @@ -443,12 +443,12 @@ select * from t; query T select arrow_typeof(c1) from t; ---- -Struct([Field { name: "r", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "r", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }]) query T select arrow_typeof(c2) from t; ---- -Struct([Field { name: "r", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Float32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "r", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Float32, nullable: true, dict_is_ordered: false, metadata: {} }]) statement ok drop table t; @@ -465,8 +465,8 @@ select * from t; query T select arrow_typeof(column1) from t; ---- -Struct([Field { name: "c0", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "c1", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) -Struct([Field { name: "c0", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "c1", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "c0", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "c1", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "c0", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "c1", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }]) statement ok drop table t; @@ -498,9 +498,9 @@ select coalesce(s1) from t; query T select arrow_typeof(coalesce(s1, s2)) from t; ---- -Struct([Field { name: "a", data_type: Float32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) -Struct([Field { name: "a", data_type: Float32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) -Struct([Field { name: "a", data_type: Float32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "a", data_type: Float32, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "a", data_type: Float32, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "a", data_type: Float32, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }]) statement ok drop table t; @@ -525,9 +525,9 @@ select coalesce(s1, s2) from t; query T select arrow_typeof(coalesce(s1, s2)) from t; ---- -Struct([Field { name: "a", data_type: Float32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) -Struct([Field { name: "a", data_type: Float32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) -Struct([Field { name: "a", data_type: Float32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "a", data_type: Float32, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "a", data_type: Float32, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "a", data_type: Float32, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "b", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }]) statement ok drop table t; @@ -562,7 +562,7 @@ create table t(a struct(r varchar, c int), b struct(r varchar, c float)) as valu query T select arrow_typeof([a, b]) from t; ---- -List(Field { name: "item", data_type: Struct([Field { name: "r", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "c", data_type: Float32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) +List(Field { name: "item", data_type: Struct([Field { name: "r", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "c", data_type: Float32, nullable: true, dict_is_ordered: false, metadata: {} }]), nullable: true, dict_is_ordered: false, metadata: {} }) statement ok drop table t; @@ -585,13 +585,13 @@ create table t(a struct(r varchar, c int, g float), b struct(r varchar, c float, query T select arrow_typeof(a) from t; ---- -Struct([Field { name: "r", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "c", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "g", data_type: Float32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "r", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "c", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "g", data_type: Float32, nullable: true, dict_is_ordered: false, metadata: {} }]) # type of each column should not coerced but perserve as it is query T select arrow_typeof(b) from t; ---- -Struct([Field { name: "r", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "c", data_type: Float32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "g", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) +Struct([Field { name: "r", data_type: Utf8, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "c", data_type: Float32, nullable: true, dict_is_ordered: false, metadata: {} }, Field { name: "g", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }]) statement ok drop table t; diff --git a/datafusion/sqllogictest/test_files/subquery_sort.slt b/datafusion/sqllogictest/test_files/subquery_sort.slt index a3717dd838d6..a0b2072a3f29 100644 --- a/datafusion/sqllogictest/test_files/subquery_sort.slt +++ b/datafusion/sqllogictest/test_files/subquery_sort.slt @@ -100,7 +100,7 @@ physical_plan 01)ProjectionExec: expr=[c1@0 as c1, r@1 as r] 02)--SortExec: TopK(fetch=2), expr=[c1@0 ASC NULLS LAST, c3@2 ASC NULLS LAST, c9@3 ASC NULLS LAST], preserve_partitioning=[false] 03)----ProjectionExec: expr=[c1@0 as c1, rank() ORDER BY [sink_table.c1 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as r, c3@1 as c3, c9@2 as c9] -04)------BoundedWindowAggExec: wdw=[rank() ORDER BY [sink_table.c1 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() ORDER BY [sink_table.c1 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Utf8(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[rank() ORDER BY [sink_table.c1 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() ORDER BY [sink_table.c1 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Utf8(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 05)--------SortExec: expr=[c1@0 DESC], preserve_partitioning=[false] 06)----------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c1, c3, c9], has_header=true diff --git a/datafusion/sqllogictest/test_files/union.slt b/datafusion/sqllogictest/test_files/union.slt index 7b8992b966ad..be4d6d54e233 100644 --- a/datafusion/sqllogictest/test_files/union.slt +++ b/datafusion/sqllogictest/test_files/union.slt @@ -529,7 +529,7 @@ physical_plan 17)------ProjectionExec: expr=[1 as cnt] 18)--------PlaceholderRowExec 19)------ProjectionExec: expr=[lead(b.c1,Int64(1)) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@1 as cnt] -20)--------BoundedWindowAggExec: wdw=[lead(b.c1,Int64(1)) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "lead(b.c1,Int64(1)) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] +20)--------BoundedWindowAggExec: wdw=[lead(b.c1,Int64(1)) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "lead(b.c1,Int64(1)) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] 21)----------ProjectionExec: expr=[1 as c1] 22)------------PlaceholderRowExec diff --git a/datafusion/sqllogictest/test_files/unnest.slt b/datafusion/sqllogictest/test_files/unnest.slt index 362f0df11a7c..e09100be6d4d 100644 --- a/datafusion/sqllogictest/test_files/unnest.slt +++ b/datafusion/sqllogictest/test_files/unnest.slt @@ -863,11 +863,11 @@ select count(*) from (select unnest(range(0, 100000)) id) t inner join (select u # Test implicit LATERAL support for UNNEST # Issue: https://github.com/apache/datafusion/issues/13659 # TODO: https://github.com/apache/datafusion/issues/10048 -query error DataFusion error: This feature is not implemented: Physical plan does not support logical expression OuterReferenceColumn\(List\(Field \{ name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: \{\} \}\), Column \{ relation: Some\(Bare \{ table: "u" \}\), name: "column1" \}\) +query error DataFusion error: This feature is not implemented: Physical plan does not support logical expression OuterReferenceColumn\(List\(Field \{ name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: \{\} \}\), Column \{ relation: Some\(Bare \{ table: "u" \}\), name: "column1" \}\) select * from unnest_table u, unnest(u.column1); # Test implicit LATERAL support for UNNEST (INNER JOIN) -query error DataFusion error: This feature is not implemented: Physical plan does not support logical expression OuterReferenceColumn\(List\(Field \{ name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: \{\} \}\), Column \{ relation: Some\(Bare \{ table: "u" \}\), name: "column1" \}\) +query error DataFusion error: This feature is not implemented: Physical plan does not support logical expression OuterReferenceColumn\(List\(Field \{ name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: \{\} \}\), Column \{ relation: Some\(Bare \{ table: "u" \}\), name: "column1" \}\) select * from unnest_table u INNER JOIN unnest(u.column1) AS t(column1) ON u.column3 = t.column1; # Test implicit LATERAL planning for UNNEST @@ -883,7 +883,7 @@ logical_plan 06)------Unnest: lists[__unnest_placeholder(outer_ref(u.column1))|depth=1] structs[] 07)--------Projection: outer_ref(u.column1) AS __unnest_placeholder(outer_ref(u.column1)) 08)----------EmptyRelation -physical_plan_error This feature is not implemented: Physical plan does not support logical expression OuterReferenceColumn(List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Column { relation: Some(Bare { table: "u" }), name: "column1" }) +physical_plan_error This feature is not implemented: Physical plan does not support logical expression OuterReferenceColumn(List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), Column { relation: Some(Bare { table: "u" }), name: "column1" }) # Test implicit LATERAL planning for UNNEST (INNER JOIN) query TT @@ -899,7 +899,7 @@ logical_plan 07)--------Unnest: lists[__unnest_placeholder(outer_ref(u.column1))|depth=1] structs[] 08)----------Projection: outer_ref(u.column1) AS __unnest_placeholder(outer_ref(u.column1)) 09)------------EmptyRelation -physical_plan_error This feature is not implemented: Physical plan does not support logical expression OuterReferenceColumn(List(Field { name: "item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Column { relation: Some(Bare { table: "u" }), name: "column1" }) +physical_plan_error This feature is not implemented: Physical plan does not support logical expression OuterReferenceColumn(List(Field { name: "item", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), Column { relation: Some(Bare { table: "u" }), name: "column1" }) ## Unnest in subquery diff --git a/datafusion/sqllogictest/test_files/window.slt b/datafusion/sqllogictest/test_files/window.slt index 889810611cf1..dfcfa6f8a4f6 100644 --- a/datafusion/sqllogictest/test_files/window.slt +++ b/datafusion/sqllogictest/test_files/window.slt @@ -360,7 +360,7 @@ physical_plan 02)--ProjectionExec: expr=[b@0 as b, max(d.a)@1 as max_a, max(d.seq)@2 as max(d.seq)] 03)----AggregateExec: mode=SinglePartitioned, gby=[b@2 as b], aggr=[max(d.a), max(d.seq)], ordering_mode=Sorted 04)------ProjectionExec: expr=[row_number() PARTITION BY [s.b] ORDER BY [s.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as seq, a@0 as a, b@1 as b] -05)--------BoundedWindowAggExec: wdw=[row_number() PARTITION BY [s.b] ORDER BY [s.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() PARTITION BY [s.b] ORDER BY [s.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[row_number() PARTITION BY [s.b] ORDER BY [s.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() PARTITION BY [s.b] ORDER BY [s.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 06)----------SortExec: expr=[b@1 ASC NULLS LAST, a@0 ASC NULLS LAST], preserve_partitioning=[true] 07)------------CoalesceBatchesExec: target_batch_size=8192 08)--------------RepartitionExec: partitioning=Hash([b@1], 4), input_partitions=4 @@ -1241,9 +1241,9 @@ logical_plan 05)--------TableScan: aggregate_test_100 projection=[c8, c9] physical_plan 01)ProjectionExec: expr=[c9@0 as c9, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as sum1, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@1 as sum2] -02)--BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +02)--BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 03)----ProjectionExec: expr=[c9@1 as c9, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW] -04)------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 05)--------SortExec: expr=[c9@1 ASC NULLS LAST, c8@0 ASC NULLS LAST], preserve_partitioning=[false] 06)----------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c8, c9], has_header=true @@ -1262,9 +1262,9 @@ logical_plan 05)--------TableScan: aggregate_test_100 projection=[c2, c9] physical_plan 01)ProjectionExec: expr=[c2@0 as c2, max(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as max(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW, sum(aggregate_test_100.c9) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@4 as sum(aggregate_test_100.c9) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING, min(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as min(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW] -02)--WindowAggExec: wdw=[sum(aggregate_test_100.c9) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }] -03)----BoundedWindowAggExec: wdw=[max(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "max(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int8(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] -04)------BoundedWindowAggExec: wdw=[min(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "min(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int8(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +02)--WindowAggExec: wdw=[sum(aggregate_test_100.c9) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }] +03)----BoundedWindowAggExec: wdw=[max(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "max(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int8(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[min(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "min(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int8(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 05)--------SortExec: expr=[c2@0 ASC NULLS LAST, c9@1 ASC NULLS LAST], preserve_partitioning=[false] 06)----------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c2, c9], has_header=true @@ -1286,10 +1286,10 @@ logical_plan physical_plan 01)SortExec: expr=[c2@0 ASC NULLS LAST], preserve_partitioning=[false] 02)--ProjectionExec: expr=[c2@0 as c2, max(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as max(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW, sum(aggregate_test_100.c9) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@4 as sum(aggregate_test_100.c9) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING, min(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as min(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW] -03)----WindowAggExec: wdw=[sum(aggregate_test_100.c9) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }] -04)------BoundedWindowAggExec: wdw=[max(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "max(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +03)----WindowAggExec: wdw=[sum(aggregate_test_100.c9) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }] +04)------BoundedWindowAggExec: wdw=[max(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "max(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 05)--------SortExec: expr=[c9@1 ASC NULLS LAST, c2@0 ASC NULLS LAST], preserve_partitioning=[false] -06)----------BoundedWindowAggExec: wdw=[min(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "min(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int8(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +06)----------BoundedWindowAggExec: wdw=[min(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "min(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c2 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int8(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 07)------------SortExec: expr=[c2@0 ASC NULLS LAST, c9@1 ASC NULLS LAST], preserve_partitioning=[false] 08)--------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c2, c9], has_header=true @@ -1311,12 +1311,12 @@ logical_plan 05)--------TableScan: aggregate_test_100 projection=[c1, c2, c4] physical_plan 01)ProjectionExec: expr=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@2 as sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING, count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@3 as count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING] -02)--BoundedWindowAggExec: wdw=[count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +02)--BoundedWindowAggExec: wdw=[count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] 03)----SortExec: expr=[c1@0 ASC NULLS LAST, c2@1 ASC NULLS LAST], preserve_partitioning=[true] 04)------CoalesceBatchesExec: target_batch_size=4096 05)--------RepartitionExec: partitioning=Hash([c1@0], 2), input_partitions=2 06)----------ProjectionExec: expr=[c1@0 as c1, c2@1 as c2, sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING@3 as sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING] -07)------------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +07)------------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c4) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] 08)--------------SortExec: expr=[c1@0 ASC NULLS LAST, c2@1 ASC NULLS LAST], preserve_partitioning=[true] 09)----------------CoalesceBatchesExec: target_batch_size=4096 10)------------------RepartitionExec: partitioning=Hash([c1@0, c2@1], 2), input_partitions=2 @@ -1343,8 +1343,8 @@ logical_plan physical_plan 01)ProjectionExec: expr=[c9@0 as c9, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@2 as sum1, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@1 as sum2] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] -04)------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] 05)--------SortExec: expr=[c9@0 DESC], preserve_partitioning=[false] 06)----------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c9], has_header=true @@ -1384,8 +1384,8 @@ logical_plan physical_plan 01)ProjectionExec: expr=[c9@0 as c9, first_value(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@4 as fv1, first_value(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@1 as fv2, lag(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@5 as lag1, lag(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING@2 as lag2, lead(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@6 as lead1, lead(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING@3 as lead2] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----BoundedWindowAggExec: wdw=[first_value(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "first_value(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Following(UInt64(1)), is_causal: false }, lag(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "lag(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(UInt64(NULL)), is_causal: false }, lead(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "lead(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] -04)------BoundedWindowAggExec: wdw=[first_value(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "first_value(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }, lag(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "lag(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, lead(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "lead(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[first_value(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "first_value(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Following(UInt64(1)), is_causal: false }, lag(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "lag(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(UInt64(NULL)), is_causal: false }, lead(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "lead(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[first_value(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "first_value(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }, lag(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "lag(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, lead(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "lead(aggregate_test_100.c9,Int64(2),Int64(10101)) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] 05)--------SortExec: expr=[c9@0 DESC], preserve_partitioning=[false] 06)----------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c9], has_header=true @@ -1427,9 +1427,9 @@ logical_plan physical_plan 01)ProjectionExec: expr=[c9@0 as c9, row_number() ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@2 as rn1, row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@1 as rn2] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] 04)------SortExec: expr=[c9@0 ASC NULLS LAST], preserve_partitioning=[false] -05)--------BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] 06)----------SortExec: expr=[c9@0 DESC], preserve_partitioning=[false] 07)------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c9], has_header=true @@ -1469,10 +1469,10 @@ logical_plan physical_plan 01)ProjectionExec: expr=[c9@2 as c9, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@5 as sum1, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c1 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@3 as sum2, row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@4 as rn2] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] 04)------SortExec: expr=[c9@2 ASC NULLS LAST, c1@0 ASC NULLS LAST, c2@1 ASC NULLS LAST], preserve_partitioning=[false] -05)--------BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] -06)----------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c1 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c1 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +06)----------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c1 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c1 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] 07)------------SortExec: expr=[c9@2 DESC, c1@0 DESC], preserve_partitioning=[false] 08)--------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c1, c2, c9], has_header=true @@ -1551,19 +1551,19 @@ logical_plan physical_plan 01)ProjectionExec: expr=[sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING@18 as a, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING@18 as b, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING@3 as c, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING@11 as d, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING@7 as e, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING@3 as f, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING@11 as g, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@19 as h, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 as i, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@12 as j, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 as k, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@8 as l, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@17 as m, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c1 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@15 as n, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST, null_cases.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as o, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c1 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@16 as p, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING@20 as a1, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING@20 as b1, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING@5 as c1, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING@13 as d1, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING@9 as e1, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING@5 as f1, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING@13 as g1, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@19 as h1, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@19 as j1, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 as k1, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@12 as l1, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@8 as m1, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 as n1, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@12 as o1, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING@21 as h11, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING@21 as j11, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING@6 as k11, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING@14 as l11, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING@10 as m11, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING@6 as n11, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING@14 as o11] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----WindowAggExec: wdw=[sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(10)), end_bound: Following(Int64(11)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: Following(Int64(11)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(Int64(NULL)), is_causal: false }] +03)----WindowAggExec: wdw=[sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(10)), end_bound: Following(Int64(11)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: Following(Int64(11)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(Int64(NULL)), is_causal: false }] 04)------ProjectionExec: expr=[c1@0 as c1, c3@2 as c3, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST, null_cases.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST, null_cases.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING@4 as sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@5 as sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING@6 as sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING@7 as sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING@8 as sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@9 as sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING@10 as sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING@11 as sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING@12 as sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@13 as sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING@14 as sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING@15 as sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c1 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@16 as sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c1 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c1 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@17 as sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c1 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@18 as sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW] -05)--------BoundedWindowAggExec: wdw=[sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 06)----------SortExec: expr=[c3@2 ASC NULLS LAST, c2@1 ASC NULLS LAST], preserve_partitioning=[false] -07)------------BoundedWindowAggExec: wdw=[sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c1 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c1 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +07)------------BoundedWindowAggExec: wdw=[sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c1 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c1 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 08)--------------SortExec: expr=[c3@2 ASC NULLS LAST, c1@0 ASC], preserve_partitioning=[false] -09)----------------BoundedWindowAggExec: wdw=[sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c1 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c1 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +09)----------------BoundedWindowAggExec: wdw=[sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c1 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS LAST, null_cases.c1 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 10)------------------SortExec: expr=[c3@2 ASC NULLS LAST, c1@0 DESC], preserve_partitioning=[false] -11)--------------------WindowAggExec: wdw=[sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(11)), end_bound: Following(Int64(10)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(Int64(NULL)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(11)), end_bound: Following(Int64(NULL)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }] -12)----------------------WindowAggExec: wdw=[sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(10)), end_bound: Following(Int64(11)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: Following(Int64(11)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(Int64(NULL)), is_causal: false }] +11)--------------------WindowAggExec: wdw=[sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(11)), end_bound: Following(Int64(10)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(Int64(NULL)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(11)), end_bound: Following(Int64(NULL)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 ASC NULLS FIRST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }] +12)----------------------WindowAggExec: wdw=[sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(10)), end_bound: Following(Int64(11)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: Following(Int64(11)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS LAST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(Int64(NULL)), is_causal: false }] 13)------------------------SortExec: expr=[c3@2 DESC NULLS LAST], preserve_partitioning=[false] -14)--------------------------WindowAggExec: wdw=[sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(10)), end_bound: Following(Int64(11)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: Following(Int64(11)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(Int64(NULL)), is_causal: false }] -15)----------------------------BoundedWindowAggExec: wdw=[sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST, null_cases.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST, null_cases.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +14)--------------------------WindowAggExec: wdw=[sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 11 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(10)), end_bound: Following(Int64(11)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND 11 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: Following(Int64(11)), is_causal: false }, sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST] RANGE BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(Int64(NULL)), is_causal: false }] +15)----------------------------BoundedWindowAggExec: wdw=[sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST, null_cases.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(null_cases.c1) ORDER BY [null_cases.c3 DESC NULLS FIRST, null_cases.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 16)------------------------------SortExec: expr=[c3@2 DESC, c1@0 ASC NULLS LAST], preserve_partitioning=[false] 17)--------------------------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/null_cases.csv]]}, projection=[c1, c2, c3], has_header=true @@ -1637,8 +1637,8 @@ logical_plan physical_plan 01)ProjectionExec: expr=[c9@1 as c9, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@2 as sum1, sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@3 as sum2] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] -04)------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] 05)--------SortExec: expr=[c1@0 ASC NULLS LAST, c9@1 DESC], preserve_partitioning=[false] 06)----------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c1, c9], has_header=true @@ -1681,8 +1681,8 @@ logical_plan physical_plan 01)ProjectionExec: expr=[c9@1 as c9, sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@3 as sum1, sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@2 as sum2] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] -04)------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] 05)--------SortExec: expr=[c1@0 ASC NULLS LAST, c9@1 DESC], preserve_partitioning=[false] 06)----------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c1, c9], has_header=true @@ -1727,9 +1727,9 @@ logical_plan physical_plan 01)ProjectionExec: expr=[c3@1 as c3, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 DESC NULLS FIRST, aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as sum1, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 as sum2] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----WindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(Int16(NULL)), is_causal: false }] +03)----WindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 ASC NULLS LAST, aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(Int16(NULL)), is_causal: false }] 04)------ProjectionExec: expr=[__common_expr_1@0 as __common_expr_1, c3@2 as c3, c9@3 as c9, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 DESC NULLS FIRST, aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 as sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 DESC NULLS FIRST, aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW] -05)--------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 DESC NULLS FIRST, aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 DESC NULLS FIRST, aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int16(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 DESC NULLS FIRST, aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 DESC NULLS FIRST, aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int16(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 06)----------SortPreservingMergeExec: [__common_expr_1@0 DESC, c9@3 DESC, c2@1 ASC NULLS LAST] 07)------------SortExec: expr=[__common_expr_1@0 DESC, c9@3 DESC, c2@1 ASC NULLS LAST], preserve_partitioning=[true] 08)--------------ProjectionExec: expr=[c3@1 + c4@2 as __common_expr_1, c2@0 as c2, c3@1 as c3, c9@3 as c9] @@ -1822,13 +1822,13 @@ logical_plan physical_plan 01)SortPreservingMergeExec: [c3@0 ASC NULLS LAST], fetch=5 02)--ProjectionExec: expr=[c3@0 as c3, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 DESC NULLS FIRST, aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as sum1, sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c3] ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as sum2] -03)----BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c3] ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c3] ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c3] ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c3] ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 04)------SortExec: expr=[c3@0 ASC NULLS LAST, c9@1 DESC], preserve_partitioning=[true] 05)--------CoalesceBatchesExec: target_batch_size=4096 06)----------RepartitionExec: partitioning=Hash([c3@0], 2), input_partitions=2 07)------------RepartitionExec: partitioning=RoundRobinBatch(2), input_partitions=1 08)--------------ProjectionExec: expr=[c3@1 as c3, c9@2 as c9, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 DESC NULLS FIRST, aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 DESC NULLS FIRST, aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW] -09)----------------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 DESC NULLS FIRST, aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 DESC NULLS FIRST, aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int16(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +09)----------------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 DESC NULLS FIRST, aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 DESC NULLS FIRST, aggregate_test_100.c9 DESC NULLS FIRST, aggregate_test_100.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int16(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 10)------------------SortExec: expr=[c3@1 DESC, c9@2 DESC, c2@0 ASC NULLS LAST], preserve_partitioning=[false] 11)--------------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c2, c3, c9], has_header=true @@ -1864,7 +1864,7 @@ logical_plan physical_plan 01)SortPreservingMergeExec: [c1@0 ASC NULLS LAST] 02)--ProjectionExec: expr=[c1@0 as c1, row_number() PARTITION BY [aggregate_test_100.c1] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@1 as rn1] -03)----BoundedWindowAggExec: wdw=[row_number() PARTITION BY [aggregate_test_100.c1] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() PARTITION BY [aggregate_test_100.c1] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[row_number() PARTITION BY [aggregate_test_100.c1] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() PARTITION BY [aggregate_test_100.c1] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] 04)------SortExec: expr=[c1@0 ASC NULLS LAST], preserve_partitioning=[true] 05)--------CoalesceBatchesExec: target_batch_size=4096 06)----------RepartitionExec: partitioning=Hash([c1@0], 2), input_partitions=2 @@ -1993,7 +1993,7 @@ logical_plan physical_plan 01)SortPreservingMergeExec: [c1@0 ASC NULLS LAST, rn1@1 ASC NULLS LAST] 02)--ProjectionExec: expr=[c1@0 as c1, row_number() PARTITION BY [aggregate_test_100.c1] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@1 as rn1] -03)----BoundedWindowAggExec: wdw=[row_number() PARTITION BY [aggregate_test_100.c1] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() PARTITION BY [aggregate_test_100.c1] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[row_number() PARTITION BY [aggregate_test_100.c1] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() PARTITION BY [aggregate_test_100.c1] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] 04)------SortExec: expr=[c1@0 ASC NULLS LAST], preserve_partitioning=[true] 05)--------CoalesceBatchesExec: target_batch_size=4096 06)----------RepartitionExec: partitioning=Hash([c1@0], 2), input_partitions=2 @@ -2019,10 +2019,10 @@ logical_plan physical_plan 01)SortExec: expr=[c1@0 ASC NULLS LAST], preserve_partitioning=[false] 02)--ProjectionExec: expr=[c1@0 as c1, sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 3 FOLLOWING@2 as sum1, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@3 as sum2] -03)----BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] 04)------SortPreservingMergeExec: [c9@1 ASC NULLS LAST] 05)--------SortExec: expr=[c9@1 ASC NULLS LAST], preserve_partitioning=[true] -06)----------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 3 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 3 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(3)), is_causal: false }], mode=[Sorted] +06)----------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 3 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 3 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(3)), is_causal: false }], mode=[Sorted] 07)------------SortExec: expr=[c1@0 ASC NULLS LAST, c9@1 ASC NULLS LAST], preserve_partitioning=[true] 08)--------------CoalesceBatchesExec: target_batch_size=4096 09)----------------RepartitionExec: partitioning=Hash([c1@0], 2), input_partitions=2 @@ -2107,11 +2107,11 @@ logical_plan physical_plan 01)SortExec: TopK(fetch=5), expr=[c9@0 ASC NULLS LAST], preserve_partitioning=[false] 02)--ProjectionExec: expr=[c9@2 as c9, sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@4 as sum1, sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c2, aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@6 as sum2, sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING@3 as sum3, sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c2, aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING@5 as sum4] -03)----BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c2, aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c2, aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c2, aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c2, aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] 04)------ProjectionExec: expr=[c1@0 as c1, c2@1 as c2, c9@3 as c9, sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING@4 as sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING, sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@5 as sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING, sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c2, aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING@6 as sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c2, aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING] -05)--------WindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c2, aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c2, aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(NULL)), is_causal: false }] -06)----------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] -07)------------WindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(NULL)), is_causal: false }] +05)--------WindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c2, aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c2, aggregate_test_100.c1] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(NULL)), is_causal: false }] +06)----------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +07)------------WindowAggExec: wdw=[sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c9) PARTITION BY [aggregate_test_100.c1, aggregate_test_100.c2] ORDER BY [aggregate_test_100.c9 ASC NULLS LAST, aggregate_test_100.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(NULL)), is_causal: false }] 08)--------------SortExec: expr=[c1@0 ASC NULLS LAST, c2@1 ASC NULLS LAST, c9@3 ASC NULLS LAST, c8@2 ASC NULLS LAST], preserve_partitioning=[false] 09)----------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c1, c2, c8, c9], has_header=true @@ -2162,12 +2162,12 @@ logical_plan physical_plan 01)ProjectionExec: expr=[c9@1 as c9, sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@4 as sum1, sum(t1.c9) PARTITION BY [t1.c2, t1.c1_alias] ORDER BY [t1.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@6 as sum2, sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST, t1.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING@3 as sum3, sum(t1.c9) PARTITION BY [t1.c2, t1.c1_alias] ORDER BY [t1.c9 ASC NULLS LAST, t1.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING@5 as sum4] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----BoundedWindowAggExec: wdw=[sum(t1.c9) PARTITION BY [t1.c2, t1.c1_alias] ORDER BY [t1.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(t1.c9) PARTITION BY [t1.c2, t1.c1_alias] ORDER BY [t1.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[sum(t1.c9) PARTITION BY [t1.c2, t1.c1_alias] ORDER BY [t1.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(t1.c9) PARTITION BY [t1.c2, t1.c1_alias] ORDER BY [t1.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] 04)------ProjectionExec: expr=[c2@0 as c2, c9@2 as c9, c1_alias@3 as c1_alias, sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST, t1.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING@4 as sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST, t1.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING, sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@5 as sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING, sum(t1.c9) PARTITION BY [t1.c2, t1.c1_alias] ORDER BY [t1.c9 ASC NULLS LAST, t1.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING@6 as sum(t1.c9) PARTITION BY [t1.c2, t1.c1_alias] ORDER BY [t1.c9 ASC NULLS LAST, t1.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING] -05)--------WindowAggExec: wdw=[sum(t1.c9) PARTITION BY [t1.c2, t1.c1_alias] ORDER BY [t1.c9 ASC NULLS LAST, t1.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(t1.c9) PARTITION BY [t1.c2, t1.c1_alias] ORDER BY [t1.c9 ASC NULLS LAST, t1.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(NULL)), is_causal: false }] +05)--------WindowAggExec: wdw=[sum(t1.c9) PARTITION BY [t1.c2, t1.c1_alias] ORDER BY [t1.c9 ASC NULLS LAST, t1.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(t1.c9) PARTITION BY [t1.c2, t1.c1_alias] ORDER BY [t1.c9 ASC NULLS LAST, t1.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(NULL)), is_causal: false }] 06)----------ProjectionExec: expr=[c2@1 as c2, c8@2 as c8, c9@3 as c9, c1_alias@4 as c1_alias, sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST, t1.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING@5 as sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST, t1.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING, sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@6 as sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING] -07)------------BoundedWindowAggExec: wdw=[sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] -08)--------------WindowAggExec: wdw=[sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST, t1.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST, t1.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(NULL)), is_causal: false }] +07)------------BoundedWindowAggExec: wdw=[sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +08)--------------WindowAggExec: wdw=[sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST, t1.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(t1.c9) PARTITION BY [t1.c1, t1.c2] ORDER BY [t1.c9 ASC NULLS LAST, t1.c8 ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(NULL)), is_causal: false }] 09)----------------SortExec: expr=[c1@0 ASC NULLS LAST, c2@1 ASC NULLS LAST, c9@3 ASC NULLS LAST, c8@2 ASC NULLS LAST], preserve_partitioning=[false] 10)------------------ProjectionExec: expr=[c1@0 as c1, c2@1 as c2, c8@2 as c8, c9@3 as c9, c1@0 as c1_alias] 11)--------------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c1, c2, c8, c9], has_header=true @@ -2208,9 +2208,9 @@ physical_plan 01)ProjectionExec: expr=[sum1@0 as sum1, sum2@1 as sum2] 02)--SortExec: TopK(fetch=5), expr=[c9@2 ASC NULLS LAST], preserve_partitioning=[false] 03)----ProjectionExec: expr=[sum(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] GROUPS BETWEEN 1 PRECEDING AND 1 FOLLOWING@3 as sum1, sum(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST] GROUPS BETWEEN 5 PRECEDING AND 3 PRECEDING@4 as sum2, c9@1 as c9] -04)------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST] GROUPS BETWEEN 5 PRECEDING AND 3 PRECEDING: Ok(Field { name: "sum(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST] GROUPS BETWEEN 5 PRECEDING AND 3 PRECEDING", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Groups, start_bound: Preceding(UInt64(5)), end_bound: Preceding(UInt64(3)), is_causal: true }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST] GROUPS BETWEEN 5 PRECEDING AND 3 PRECEDING: Ok(Field { name: "sum(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST] GROUPS BETWEEN 5 PRECEDING AND 3 PRECEDING", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Groups, start_bound: Preceding(UInt64(5)), end_bound: Preceding(UInt64(3)), is_causal: true }], mode=[Sorted] 05)--------ProjectionExec: expr=[c1@0 as c1, c9@2 as c9, c12@3 as c12, sum(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] GROUPS BETWEEN 1 PRECEDING AND 1 FOLLOWING@4 as sum(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] GROUPS BETWEEN 1 PRECEDING AND 1 FOLLOWING] -06)----------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] GROUPS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] GROUPS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Groups, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +06)----------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] GROUPS BETWEEN 1 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c1 ASC NULLS LAST, aggregate_test_100.c2 ASC NULLS LAST] GROUPS BETWEEN 1 PRECEDING AND 1 FOLLOWING", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Groups, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] 07)------------SortExec: expr=[c1@0 ASC NULLS LAST, c2@1 ASC NULLS LAST], preserve_partitioning=[false] 08)--------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c1, c2, c9, c12], has_header=true @@ -2244,7 +2244,7 @@ logical_plan physical_plan 01)ProjectionExec: expr=[c9@0 as c9, row_number() ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@1 as rn1] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 04)------SortExec: expr=[c9@0 ASC NULLS LAST], preserve_partitioning=[false] 05)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c9], has_header=true @@ -2281,7 +2281,7 @@ logical_plan physical_plan 01)ProjectionExec: expr=[c9@0 as c9, row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@1 as rn1] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 04)------SortExec: expr=[c9@0 DESC], preserve_partitioning=[false] 05)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c9], has_header=true @@ -2318,7 +2318,7 @@ logical_plan physical_plan 01)SortExec: TopK(fetch=5), expr=[rn1@1 DESC], preserve_partitioning=[false] 02)--ProjectionExec: expr=[c9@0 as c9, row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@1 as rn1] -03)----BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 04)------SortExec: expr=[c9@0 DESC], preserve_partitioning=[false] 05)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c9], has_header=true @@ -2358,7 +2358,7 @@ logical_plan physical_plan 01)SortExec: TopK(fetch=5), expr=[rn1@1 ASC NULLS LAST, c9@0 ASC NULLS LAST], preserve_partitioning=[false] 02)--ProjectionExec: expr=[c9@0 as c9, row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@1 as rn1] -03)----BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 04)------SortExec: expr=[c9@0 DESC], preserve_partitioning=[false] 05)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c9], has_header=true @@ -2433,7 +2433,7 @@ logical_plan physical_plan 01)ProjectionExec: expr=[c9@0 as c9, row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@1 as rn1] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 04)------SortExec: expr=[c9@0 DESC], preserve_partitioning=[false] 05)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c9], has_header=true @@ -2455,7 +2455,7 @@ logical_plan physical_plan 01)ProjectionExec: expr=[c5@0 as c5, c9@1 as c9, row_number() ORDER BY [aggregate_test_100.c9 + aggregate_test_100.c5 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as rn1] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 + aggregate_test_100.c5 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 + aggregate_test_100.c5 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 + aggregate_test_100.c5 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 + aggregate_test_100.c5 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 04)------SortExec: expr=[CAST(c9@1 AS Int32) + c5@0 DESC], preserve_partitioning=[false] 05)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c5, c9], has_header=true @@ -2476,7 +2476,7 @@ logical_plan physical_plan 01)ProjectionExec: expr=[c9@0 as c9, CAST(row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@1 AS Int64) as rn1] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 04)------SortExec: expr=[c9@0 DESC], preserve_partitioning=[false] 05)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c9], has_header=true @@ -2581,10 +2581,10 @@ physical_plan 01)ProjectionExec: expr=[sum1@0 as sum1, sum2@1 as sum2, sum3@2 as sum3, min1@3 as min1, min2@4 as min2, min3@5 as min3, max1@6 as max1, max2@7 as max2, max3@8 as max3, cnt1@9 as cnt1, cnt2@10 as cnt2, sumr1@11 as sumr1, sumr2@12 as sumr2, sumr3@13 as sumr3, minr1@14 as minr1, minr2@15 as minr2, minr3@16 as minr3, maxr1@17 as maxr1, maxr2@18 as maxr2, maxr3@19 as maxr3, cntr1@20 as cntr1, cntr2@21 as cntr2, sum4@22 as sum4, cnt3@23 as cnt3] 02)--SortExec: TopK(fetch=5), expr=[inc_col@24 DESC], preserve_partitioning=[false] 03)----ProjectionExec: expr=[sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING@13 as sum1, sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING@14 as sum2, sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING@15 as sum3, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING@16 as min1, min(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING@17 as min2, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING@18 as min3, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING@19 as max1, max(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING@20 as max2, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING@21 as max3, count(*) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 4 PRECEDING AND 8 FOLLOWING@22 as cnt1, count(*) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING@23 as cnt2, sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 4 FOLLOWING@2 as sumr1, sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 8 FOLLOWING@3 as sumr2, sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@4 as sumr3, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING@5 as minr1, min(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING@6 as minr2, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING@7 as minr3, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING@8 as maxr1, max(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING@9 as maxr2, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING@10 as maxr3, count(*) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 6 PRECEDING AND 2 FOLLOWING@11 as cntr1, count(*) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING@12 as cntr2, sum(annotated_data_finite.desc_col) ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING@24 as sum4, count(*) ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING@25 as cnt3, inc_col@1 as inc_col] -04)------BoundedWindowAggExec: wdw=[sum(annotated_data_finite.desc_col) ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.desc_col) ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(8)), end_bound: Following(UInt64(1)), is_causal: false }, count(*) ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(8)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[sum(annotated_data_finite.desc_col) ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.desc_col) ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(8)), end_bound: Following(UInt64(1)), is_causal: false }, count(*) ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(8)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] 05)--------ProjectionExec: expr=[__common_expr_1@0 as __common_expr_1, inc_col@3 as inc_col, sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 4 FOLLOWING@5 as sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 4 FOLLOWING, sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 8 FOLLOWING@6 as sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 8 FOLLOWING, sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING@7 as sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING@8 as min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING, min(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING@9 as min(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING@10 as min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING@11 as max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING, max(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING@12 as max(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING@13 as max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING, count(*) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 6 PRECEDING AND 2 FOLLOWING@14 as count(*) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 6 PRECEDING AND 2 FOLLOWING, count(*) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING@15 as count(*) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING, sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING@16 as sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING, sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING@17 as sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING, sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING@18 as sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING@19 as min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING, min(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING@20 as min(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING@21 as min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING@22 as max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING, max(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING@23 as max(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING@24 as max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING, count(*) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 4 PRECEDING AND 8 FOLLOWING@25 as count(*) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 4 PRECEDING AND 8 FOLLOWING, count(*) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING@26 as count(*) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING] -06)----------BoundedWindowAggExec: wdw=[sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: Following(Int32(1)), is_causal: false }, sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(5)), end_bound: Following(Int32(1)), is_causal: false }, sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(10)), is_causal: false }, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: Following(Int32(1)), is_causal: false }, min(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "min(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(5)), end_bound: Following(Int32(1)), is_causal: false }, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(10)), is_causal: false }, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: Following(Int32(1)), is_causal: false }, max(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "max(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(5)), end_bound: Following(Int32(1)), is_causal: false }, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(10)), is_causal: false }, count(*) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 4 PRECEDING AND 8 FOLLOWING: Ok(Field { name: "count(*) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 4 PRECEDING AND 8 FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(4)), end_bound: Following(Int32(8)), is_causal: false }, count(*) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(8)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] -07)------------BoundedWindowAggExec: wdw=[sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 4 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 4 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(4)), end_bound: Following(Int32(1)), is_causal: false }, sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 8 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 8 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(8)), end_bound: Following(Int32(1)), is_causal: false }, sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Following(UInt64(1)), is_causal: false }, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, min(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "min(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(5)), is_causal: false }, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, max(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "max(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(5)), is_causal: false }, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, count(*) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 6 PRECEDING AND 2 FOLLOWING: Ok(Field { name: "count(*) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 6 PRECEDING AND 2 FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(2)), end_bound: Following(Int32(6)), is_causal: false }, count(*) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(8)), is_causal: false }], mode=[Sorted] +06)----------BoundedWindowAggExec: wdw=[sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: Following(Int32(1)), is_causal: false }, sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(5)), end_bound: Following(Int32(1)), is_causal: false }, sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(10)), is_causal: false }, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: Following(Int32(1)), is_causal: false }, min(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "min(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(5)), end_bound: Following(Int32(1)), is_causal: false }, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(10)), is_causal: false }, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: Following(Int32(1)), is_causal: false }, max(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "max(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(5)), end_bound: Following(Int32(1)), is_causal: false }, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(10)), is_causal: false }, count(*) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 4 PRECEDING AND 8 FOLLOWING: Ok(Field { name: "count(*) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 4 PRECEDING AND 8 FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(4)), end_bound: Following(Int32(8)), is_causal: false }, count(*) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(8)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +07)------------BoundedWindowAggExec: wdw=[sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 4 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 4 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(4)), end_bound: Following(Int32(1)), is_causal: false }, sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 8 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 8 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(8)), end_bound: Following(Int32(1)), is_causal: false }, sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 5 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Following(UInt64(1)), is_causal: false }, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, min(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "min(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(5)), is_causal: false }, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, max(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "max(annotated_data_finite.desc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 5 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(5)), is_causal: false }, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, count(*) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 6 PRECEDING AND 2 FOLLOWING: Ok(Field { name: "count(*) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 6 PRECEDING AND 2 FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(2)), end_bound: Following(Int32(6)), is_causal: false }, count(*) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(*) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 8 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(8)), is_causal: false }], mode=[Sorted] 08)--------------ProjectionExec: expr=[CAST(desc_col@2 AS Int64) as __common_expr_1, CAST(inc_col@1 AS Int64) as __common_expr_2, ts@0 as ts, inc_col@1 as inc_col, desc_col@2 as desc_col] 09)----------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_1.csv]]}, projection=[ts, inc_col, desc_col], output_ordering=[ts@0 ASC NULLS LAST], has_header=true @@ -2667,8 +2667,8 @@ logical_plan physical_plan 01)SortExec: TopK(fetch=5), expr=[ts@0 DESC], preserve_partitioning=[false] 02)--ProjectionExec: expr=[ts@0 as ts, first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING@10 as fv1, first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING@11 as fv2, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING@12 as lv1, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING@13 as lv2, nth_value(annotated_data_finite.inc_col,Int64(5)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING@14 as nv1, nth_value(annotated_data_finite.inc_col,Int64(5)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING@15 as nv2, row_number() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING@16 as rn1, row_number() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING@17 as rn2, rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING@18 as rank1, rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING@19 as rank2, dense_rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING@20 as dense_rank1, dense_rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING@21 as dense_rank2, lag(annotated_data_finite.inc_col,Int64(1),Int64(1001)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING@22 as lag1, lag(annotated_data_finite.inc_col,Int64(2),Int64(1002)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING@23 as lag2, lead(annotated_data_finite.inc_col,Int64(-1),Int64(1001)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING@24 as lead1, lead(annotated_data_finite.inc_col,Int64(4),Int64(1004)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING@25 as lead2, first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING@2 as fvr1, first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING@3 as fvr2, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING@4 as lvr1, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING@5 as lvr2, lag(annotated_data_finite.inc_col,Int64(1),Int64(1001)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING@6 as lagr1, lag(annotated_data_finite.inc_col,Int64(2),Int64(1002)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING@7 as lagr2, lead(annotated_data_finite.inc_col,Int64(-1),Int64(1001)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING@8 as leadr1, lead(annotated_data_finite.inc_col,Int64(4),Int64(1004)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING@9 as leadr2] -03)----BoundedWindowAggExec: wdw=[first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: Following(Int32(1)), is_causal: false }, first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: Following(Int32(1)), is_causal: false }, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, nth_value(annotated_data_finite.inc_col,Int64(5)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "nth_value(annotated_data_finite.inc_col,Int64(5)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: Following(Int32(1)), is_causal: false }, nth_value(annotated_data_finite.inc_col,Int64(5)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "nth_value(annotated_data_finite.inc_col,Int64(5)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, row_number() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "row_number() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, row_number() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "row_number() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, dense_rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "dense_rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, dense_rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "dense_rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, lag(annotated_data_finite.inc_col,Int64(1),Int64(1001)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "lag(annotated_data_finite.inc_col,Int64(1),Int64(1001)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, lag(annotated_data_finite.inc_col,Int64(2),Int64(1002)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "lag(annotated_data_finite.inc_col,Int64(2),Int64(1002)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, lead(annotated_data_finite.inc_col,Int64(-1),Int64(1001)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "lead(annotated_data_finite.inc_col,Int64(-1),Int64(1001)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, lead(annotated_data_finite.inc_col,Int64(4),Int64(1004)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "lead(annotated_data_finite.inc_col,Int64(4),Int64(1004)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] -04)------BoundedWindowAggExec: wdw=[first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(10)), is_causal: false }, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(10)), is_causal: false }, lag(annotated_data_finite.inc_col,Int64(1),Int64(1001)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "lag(annotated_data_finite.inc_col,Int64(1),Int64(1001)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: Following(Int32(1)), is_causal: false }, lag(annotated_data_finite.inc_col,Int64(2),Int64(1002)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "lag(annotated_data_finite.inc_col,Int64(2),Int64(1002)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(10)), is_causal: false }, lead(annotated_data_finite.inc_col,Int64(-1),Int64(1001)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "lead(annotated_data_finite.inc_col,Int64(-1),Int64(1001)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: Following(Int32(1)), is_causal: false }, lead(annotated_data_finite.inc_col,Int64(4),Int64(1004)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "lead(annotated_data_finite.inc_col,Int64(4),Int64(1004)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(10)), is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: Following(Int32(1)), is_causal: false }, first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: Following(Int32(1)), is_causal: false }, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, nth_value(annotated_data_finite.inc_col,Int64(5)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "nth_value(annotated_data_finite.inc_col,Int64(5)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: Following(Int32(1)), is_causal: false }, nth_value(annotated_data_finite.inc_col,Int64(5)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "nth_value(annotated_data_finite.inc_col,Int64(5)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, row_number() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "row_number() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, row_number() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "row_number() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, dense_rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "dense_rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, dense_rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "dense_rank() ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, lag(annotated_data_finite.inc_col,Int64(1),Int64(1001)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "lag(annotated_data_finite.inc_col,Int64(1),Int64(1001)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, lag(annotated_data_finite.inc_col,Int64(2),Int64(1002)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "lag(annotated_data_finite.inc_col,Int64(2),Int64(1002)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }, lead(annotated_data_finite.inc_col,Int64(-1),Int64(1001)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "lead(annotated_data_finite.inc_col,Int64(-1),Int64(1001)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, lead(annotated_data_finite.inc_col,Int64(4),Int64(1004)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "lead(annotated_data_finite.inc_col,Int64(4),Int64(1004)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(10)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(10)), is_causal: false }, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(1)), end_bound: Following(Int32(10)), is_causal: false }, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(10)), is_causal: false }, lag(annotated_data_finite.inc_col,Int64(1),Int64(1001)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "lag(annotated_data_finite.inc_col,Int64(1),Int64(1001)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: Following(Int32(1)), is_causal: false }, lag(annotated_data_finite.inc_col,Int64(2),Int64(1002)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "lag(annotated_data_finite.inc_col,Int64(2),Int64(1002)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(10)), is_causal: false }, lead(annotated_data_finite.inc_col,Int64(-1),Int64(1001)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING: Ok(Field { name: "lead(annotated_data_finite.inc_col,Int64(-1),Int64(1001)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 1 PRECEDING AND 10 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: Following(Int32(1)), is_causal: false }, lead(annotated_data_finite.inc_col,Int64(4),Int64(1004)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "lead(annotated_data_finite.inc_col,Int64(4),Int64(1004)) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 10 PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(1)), end_bound: Following(UInt64(10)), is_causal: false }], mode=[Sorted] 05)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_1.csv]]}, projection=[ts, inc_col], output_ordering=[ts@0 ASC NULLS LAST], has_header=true query IIIIIIIIIIIIIIIIIIIIIIIII @@ -2739,8 +2739,8 @@ physical_plan 01)ProjectionExec: expr=[sum1@0 as sum1, sum2@1 as sum2, min1@2 as min1, min2@3 as min2, max1@4 as max1, max2@5 as max2, count1@6 as count1, count2@7 as count2, avg1@8 as avg1, avg2@9 as avg2] 02)--SortExec: TopK(fetch=5), expr=[inc_col@10 ASC NULLS LAST], preserve_partitioning=[false] 03)----ProjectionExec: expr=[sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING@9 as sum1, sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING@4 as sum2, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING@10 as min1, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING@5 as min2, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING@11 as max1, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING@6 as max2, count(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING@12 as count1, count(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING@7 as count2, avg(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING@13 as avg1, avg(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING@8 as avg2, inc_col@3 as inc_col] -04)------BoundedWindowAggExec: wdw=[sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(5)), is_causal: false }, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING: Ok(Field { name: "min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(5)), is_causal: false }, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING: Ok(Field { name: "max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(5)), is_causal: false }, count(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING: Ok(Field { name: "count(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(5)), is_causal: false }, avg(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING: Ok(Field { name: "avg(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(5)), is_causal: false }], mode=[Sorted] -05)--------BoundedWindowAggExec: wdw=[sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(3)), is_causal: false }, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(3)), is_causal: false }, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(3)), is_causal: false }, count(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "count(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(3)), is_causal: false }, avg(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "avg(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(3)), is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(5)), is_causal: false }, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING: Ok(Field { name: "min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(5)), is_causal: false }, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING: Ok(Field { name: "max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(5)), is_causal: false }, count(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING: Ok(Field { name: "count(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(5)), is_causal: false }, avg(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING: Ok(Field { name: "avg(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND 5 FOLLOWING", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(5)), is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(3)), is_causal: false }, min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "min(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(3)), is_causal: false }, max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "max(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(3)), is_causal: false }, count(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "count(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(3)), is_causal: false }, avg(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "avg(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] RANGE BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: Following(Int32(3)), is_causal: false }], mode=[Sorted] 06)----------ProjectionExec: expr=[CAST(inc_col@1 AS Int64) as __common_expr_1, CAST(inc_col@1 AS Float64) as __common_expr_2, ts@0 as ts, inc_col@1 as inc_col] 07)------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_1.csv]]}, projection=[ts, inc_col], output_ordering=[ts@0 ASC NULLS LAST], has_header=true @@ -2791,8 +2791,8 @@ physical_plan 01)ProjectionExec: expr=[first_value1@0 as first_value1, first_value2@1 as first_value2, last_value1@2 as last_value1, last_value2@3 as last_value2, nth_value1@4 as nth_value1] 02)--SortExec: TopK(fetch=5), expr=[inc_col@5 ASC NULLS LAST], preserve_partitioning=[false] 03)----ProjectionExec: expr=[first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING@4 as first_value1, first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING@2 as first_value2, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING@5 as last_value1, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING@3 as last_value2, nth_value(annotated_data_finite.inc_col,Int64(2)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING@6 as nth_value1, inc_col@1 as inc_col] -04)------BoundedWindowAggExec: wdw=[first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING: Ok(Field { name: "first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(1)), is_causal: false }, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING: Ok(Field { name: "last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(1)), is_causal: false }, nth_value(annotated_data_finite.inc_col,Int64(2)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING: Ok(Field { name: "nth_value(annotated_data_finite.inc_col,Int64(2)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] -05)--------BoundedWindowAggExec: wdw=[first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(3)), is_causal: false }, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(3)), is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING: Ok(Field { name: "first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(1)), is_causal: false }, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING: Ok(Field { name: "last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(1)), is_causal: false }, nth_value(annotated_data_finite.inc_col,Int64(2)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING: Ok(Field { name: "nth_value(annotated_data_finite.inc_col,Int64(2)) ORDER BY [annotated_data_finite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "first_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(3)), is_causal: false }, last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "last_value(annotated_data_finite.inc_col) ORDER BY [annotated_data_finite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(3)), is_causal: false }], mode=[Sorted] 06)----------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_1.csv]]}, projection=[ts, inc_col], output_ordering=[ts@0 ASC NULLS LAST], has_header=true query IIIII @@ -2836,8 +2836,8 @@ physical_plan 01)ProjectionExec: expr=[sum1@0 as sum1, sum2@1 as sum2, count1@2 as count1, count2@3 as count2] 02)--ProjectionExec: expr=[sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING@5 as sum1, sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING@3 as sum2, count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING@6 as count1, count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING@4 as count2, ts@1 as ts] 03)----GlobalLimitExec: skip=0, fetch=5 -04)------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(1)), is_causal: false }, count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] -05)--------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(3)), is_causal: false }, count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(3)), is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(1)), is_causal: false }, count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(3)), is_causal: false }, count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(3)), is_causal: false }], mode=[Sorted] 06)----------ProjectionExec: expr=[CAST(inc_col@1 AS Int64) as __common_expr_1, ts@0 as ts, inc_col@1 as inc_col] 07)------------StreamingTableExec: partition_sizes=1, projection=[ts, inc_col], infinite_source=true, output_ordering=[ts@0 ASC NULLS LAST] @@ -2882,8 +2882,8 @@ physical_plan 01)ProjectionExec: expr=[sum1@0 as sum1, sum2@1 as sum2, count1@2 as count1, count2@3 as count2] 02)--ProjectionExec: expr=[sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING@5 as sum1, sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING@3 as sum2, count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING@6 as count1, count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING@4 as count2, ts@1 as ts] 03)----GlobalLimitExec: skip=0, fetch=5 -04)------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(1)), is_causal: false }, count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] -05)--------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(3)), is_causal: false }, count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(3)), is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(1)), is_causal: false }, count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING: Ok(Field { name: "count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(3)), is_causal: false }, count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "count(annotated_data_infinite.inc_col) ORDER BY [annotated_data_infinite.ts DESC NULLS FIRST] ROWS BETWEEN 3 PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(3)), is_causal: false }], mode=[Sorted] 06)----------ProjectionExec: expr=[CAST(inc_col@1 AS Int64) as __common_expr_1, ts@0 as ts, inc_col@1 as inc_col] 07)------------StreamingTableExec: partition_sizes=1, projection=[ts, inc_col], infinite_source=true, output_ordering=[ts@0 ASC NULLS LAST] @@ -2982,12 +2982,12 @@ logical_plan physical_plan 01)ProjectionExec: expr=[a@1 as a, b@2 as b, c@3 as c, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING@9 as sum1, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 1 FOLLOWING AND 5 FOLLOWING@10 as sum2, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST, annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING@15 as sum3, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST, annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 1 PRECEDING@16 as sum4, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING@5 as sum5, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING@6 as sum6, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING@11 as sum7, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING@12 as sum8, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING@7 as sum9, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND CURRENT ROW@8 as sum10, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING@13 as sum11, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING@14 as sum12] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST, annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST, annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST, annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 1 PRECEDING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST, annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 1 PRECEDING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Preceding(UInt64(1)), is_causal: true }], mode=[Linear] -04)------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: CurrentRow, end_bound: Following(UInt64(1)), is_causal: false }], mode=[PartiallySorted([1, 0])] -05)--------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] -06)----------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 1 FOLLOWING AND 5 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 1 FOLLOWING AND 5 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Following(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[PartiallySorted([0])] -07)------------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: CurrentRow, is_causal: true }], mode=[PartiallySorted([0, 1])] -08)--------------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST, annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST, annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST, annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 1 PRECEDING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST, annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 1 PRECEDING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Preceding(UInt64(1)), is_causal: true }], mode=[Linear] +04)------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: CurrentRow, end_bound: Following(UInt64(1)), is_causal: false }], mode=[PartiallySorted([1, 0])] +05)--------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +06)----------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 1 FOLLOWING AND 5 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST, annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 1 FOLLOWING AND 5 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Following(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[PartiallySorted([0])] +07)------------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: CurrentRow, is_causal: true }], mode=[PartiallySorted([0, 1])] +08)--------------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(annotated_data_infinite2.c) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] 09)----------------ProjectionExec: expr=[CAST(c@2 AS Int64) as __common_expr_1, a@0 as a, b@1 as b, c@2 as c, d@3 as d] 10)------------------StreamingTableExec: partition_sizes=1, projection=[a, b, c, d], infinite_source=true, output_ordering=[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST] @@ -3050,17 +3050,17 @@ logical_plan physical_plan 01)SortExec: TopK(fetch=5), expr=[c@2 ASC NULLS LAST], preserve_partitioning=[false] 02)--ProjectionExec: expr=[a@1 as a, b@2 as b, c@3 as c, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING@9 as sum1, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 1 FOLLOWING AND 5 FOLLOWING@10 as sum2, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.d] ORDER BY [annotated_data_finite2.a ASC NULLS LAST, annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING@15 as sum3, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.d] ORDER BY [annotated_data_finite2.a ASC NULLS LAST, annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 1 PRECEDING@16 as sum4, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING@5 as sum5, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING@6 as sum6, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING@11 as sum7, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING@12 as sum8, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING@7 as sum9, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND CURRENT ROW@8 as sum10, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING@13 as sum11, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING@14 as sum12] -03)----BoundedWindowAggExec: wdw=[sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.d] ORDER BY [annotated_data_finite2.a ASC NULLS LAST, annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.d] ORDER BY [annotated_data_finite2.a ASC NULLS LAST, annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.d] ORDER BY [annotated_data_finite2.a ASC NULLS LAST, annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 1 PRECEDING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.d] ORDER BY [annotated_data_finite2.a ASC NULLS LAST, annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 1 PRECEDING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Preceding(UInt64(1)), is_causal: true }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.d] ORDER BY [annotated_data_finite2.a ASC NULLS LAST, annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.d] ORDER BY [annotated_data_finite2.a ASC NULLS LAST, annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.d] ORDER BY [annotated_data_finite2.a ASC NULLS LAST, annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 1 PRECEDING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.d] ORDER BY [annotated_data_finite2.a ASC NULLS LAST, annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 1 PRECEDING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Preceding(UInt64(1)), is_causal: true }], mode=[Sorted] 04)------SortExec: expr=[d@4 ASC NULLS LAST, a@1 ASC NULLS LAST, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST], preserve_partitioning=[false] -05)--------BoundedWindowAggExec: wdw=[sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: CurrentRow, end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: CurrentRow, end_bound: Following(UInt64(1)), is_causal: false }], mode=[Sorted] 06)----------SortExec: expr=[b@2 ASC NULLS LAST, a@1 ASC NULLS LAST, d@4 ASC NULLS LAST, c@3 ASC NULLS LAST], preserve_partitioning=[false] -07)------------BoundedWindowAggExec: wdw=[sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +07)------------BoundedWindowAggExec: wdw=[sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.b, annotated_data_finite2.a] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] 08)--------------SortExec: expr=[b@2 ASC NULLS LAST, a@1 ASC NULLS LAST, c@3 ASC NULLS LAST], preserve_partitioning=[false] -09)----------------BoundedWindowAggExec: wdw=[sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 1 FOLLOWING AND 5 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 1 FOLLOWING AND 5 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Following(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +09)----------------BoundedWindowAggExec: wdw=[sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 1 FOLLOWING AND 5 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.b ASC NULLS LAST, annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 1 FOLLOWING AND 5 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Following(UInt64(1)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] 10)------------------SortExec: expr=[a@1 ASC NULLS LAST, d@4 ASC NULLS LAST, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST], preserve_partitioning=[false] -11)--------------------BoundedWindowAggExec: wdw=[sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: CurrentRow, is_causal: true }], mode=[Sorted] +11)--------------------BoundedWindowAggExec: wdw=[sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b, annotated_data_finite2.d] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: CurrentRow, is_causal: true }], mode=[Sorted] 12)----------------------SortExec: expr=[a@1 ASC NULLS LAST, b@2 ASC NULLS LAST, d@4 ASC NULLS LAST, c@3 ASC NULLS LAST], preserve_partitioning=[false] -13)------------------------BoundedWindowAggExec: wdw=[sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] +13)------------------------BoundedWindowAggExec: wdw=[sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 2 PRECEDING AND 1 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(2)), end_bound: Following(UInt64(1)), is_causal: false }, sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING: Ok(Field { name: "sum(annotated_data_finite2.c) PARTITION BY [annotated_data_finite2.a, annotated_data_finite2.b] ORDER BY [annotated_data_finite2.c ASC NULLS LAST] ROWS BETWEEN 5 PRECEDING AND 5 FOLLOWING", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(5)), end_bound: Following(UInt64(5)), is_causal: false }], mode=[Sorted] 14)--------------------------ProjectionExec: expr=[CAST(c@2 AS Int64) as __common_expr_1, a@0 as a, b@1 as b, c@2 as c, d@3 as d] 15)----------------------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a, b, c, d], output_ordering=[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST], has_header=true @@ -3124,7 +3124,7 @@ physical_plan 01)ProjectionExec: expr=[a0@0 as a0, a@1 as a, b@2 as b, c@3 as c, d@4 as d, row_number() ORDER BY [annotated_data_infinite2.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@5 as rn1] 02)--CoalesceBatchesExec: target_batch_size=4096, fetch=5 03)----FilterExec: row_number() ORDER BY [annotated_data_infinite2.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@5 < 50 -04)------BoundedWindowAggExec: wdw=[row_number() ORDER BY [annotated_data_infinite2.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [annotated_data_infinite2.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[row_number() ORDER BY [annotated_data_infinite2.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "row_number() ORDER BY [annotated_data_infinite2.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 05)--------StreamingTableExec: partition_sizes=1, projection=[a0, a, b, c, d], infinite_source=true, output_ordering=[a@1 ASC NULLS LAST, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST] # this is a negative test for asserting that window functions (other than ROW_NUMBER) @@ -3146,7 +3146,7 @@ logical_plan physical_plan 01)SortExec: TopK(fetch=5), expr=[sum1@1 ASC NULLS LAST, c9@0 DESC], preserve_partitioning=[false] 02)--ProjectionExec: expr=[c9@0 as c9, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@1 as sum1] -03)----BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c9 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 04)------SortExec: expr=[c9@0 DESC], preserve_partitioning=[false] 05)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c9], has_header=true @@ -3231,11 +3231,11 @@ logical_plan 08)--------------TableScan: annotated_data_infinite2 projection=[a, b, c, d] physical_plan 01)ProjectionExec: expr=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as sum1, sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@5 as sum2, sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 as sum3, sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@6 as sum4] -02)--BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Linear] +02)--BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Linear] 03)----ProjectionExec: expr=[__common_expr_1@0 as __common_expr_1, a@1 as a, d@4 as d, sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@5 as sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW, sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@6 as sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW, sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@7 as sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW] -04)------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] -05)--------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[PartiallySorted([0])] -06)----------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[PartiallySorted([0])] +06)----------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 07)------------ProjectionExec: expr=[CAST(a@0 AS Int64) as __common_expr_1, a@0 as a, b@1 as b, c@2 as c, d@3 as d] 08)--------------StreamingTableExec: partition_sizes=1, projection=[a, b, c, d], infinite_source=true, output_ordering=[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST] @@ -3262,17 +3262,17 @@ logical_plan 08)--------------TableScan: annotated_data_infinite2 projection=[a, b, c, d] physical_plan 01)ProjectionExec: expr=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as sum1, sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@5 as sum2, sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 as sum3, sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@6 as sum4] -02)--BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Linear] +02)--BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Linear] 03)----CoalesceBatchesExec: target_batch_size=4096 04)------RepartitionExec: partitioning=Hash([d@2], 2), input_partitions=2, preserve_order=true, sort_exprs=__common_expr_1@0 ASC NULLS LAST, a@1 ASC NULLS LAST 05)--------ProjectionExec: expr=[__common_expr_1@0 as __common_expr_1, a@1 as a, d@4 as d, sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@5 as sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW, sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@6 as sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW, sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@7 as sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW] -06)----------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +06)----------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.b, annotated_data_infinite2.a] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 07)------------CoalesceBatchesExec: target_batch_size=4096 08)--------------RepartitionExec: partitioning=Hash([b@2, a@1], 2), input_partitions=2, preserve_order=true, sort_exprs=a@1 ASC NULLS LAST, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST, __common_expr_1@0 ASC NULLS LAST -09)----------------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[PartiallySorted([0])] +09)----------------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.d] ORDER BY [annotated_data_infinite2.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[PartiallySorted([0])] 10)------------------CoalesceBatchesExec: target_batch_size=4096 11)--------------------RepartitionExec: partitioning=Hash([a@1, d@4], 2), input_partitions=2, preserve_order=true, sort_exprs=a@1 ASC NULLS LAST, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST, __common_expr_1@0 ASC NULLS LAST -12)----------------------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +12)----------------------BoundedWindowAggExec: wdw=[sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(annotated_data_infinite2.a) PARTITION BY [annotated_data_infinite2.a, annotated_data_infinite2.b] ORDER BY [annotated_data_infinite2.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 13)------------------------CoalesceBatchesExec: target_batch_size=4096 14)--------------------------RepartitionExec: partitioning=Hash([a@1, b@2], 2), input_partitions=2, preserve_order=true, sort_exprs=a@1 ASC NULLS LAST, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST, __common_expr_1@0 ASC NULLS LAST 15)----------------------------ProjectionExec: expr=[CAST(a@0 AS Int64) as __common_expr_1, a@0 as a, b@1 as b, c@2 as c, d@3 as d] @@ -3331,10 +3331,10 @@ logical_plan physical_plan 01)SortExec: TopK(fetch=5), expr=[c3@0 ASC NULLS LAST], preserve_partitioning=[false] 02)--ProjectionExec: expr=[c3@0 as c3, max(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c12 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as min1, min(aggregate_test_100.c12) PARTITION BY [aggregate_test_100.c11] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@2 as max1] -03)----BoundedWindowAggExec: wdw=[max(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c12 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "max(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c12 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Float64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[max(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c12 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "max(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c12 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Float64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 04)------SortExec: expr=[c12@1 ASC NULLS LAST], preserve_partitioning=[false] 05)--------ProjectionExec: expr=[c3@0 as c3, c12@2 as c12, min(aggregate_test_100.c12) PARTITION BY [aggregate_test_100.c11] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@3 as min(aggregate_test_100.c12) PARTITION BY [aggregate_test_100.c11] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING] -06)----------WindowAggExec: wdw=[min(aggregate_test_100.c12) PARTITION BY [aggregate_test_100.c11] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "min(aggregate_test_100.c12) PARTITION BY [aggregate_test_100.c11] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }] +06)----------WindowAggExec: wdw=[min(aggregate_test_100.c12) PARTITION BY [aggregate_test_100.c11] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "min(aggregate_test_100.c12) PARTITION BY [aggregate_test_100.c11] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }] 07)------------SortExec: expr=[c11@1 ASC NULLS LAST], preserve_partitioning=[false] 08)--------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c3, c11, c12], has_header=true @@ -3375,7 +3375,7 @@ physical_plan 01)ProjectionExec: expr=[min1@0 as min1, max1@1 as max1] 02)--SortExec: TopK(fetch=5), expr=[c3@2 ASC NULLS LAST], preserve_partitioning=[false] 03)----ProjectionExec: expr=[max(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c12 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as min1, min(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c12 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as max1, c3@0 as c3] -04)------BoundedWindowAggExec: wdw=[max(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c12 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "max(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c12 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Float64(NULL)), end_bound: CurrentRow, is_causal: false }, min(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c12 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "min(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c12 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Float64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[max(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c12 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "max(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c12 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Float64(NULL)), end_bound: CurrentRow, is_causal: false }, min(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c12 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "min(aggregate_test_100.c12) ORDER BY [aggregate_test_100.c12 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Float64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 05)--------SortExec: expr=[c12@1 ASC NULLS LAST], preserve_partitioning=[false] 06)----------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c3, c12], has_header=true @@ -3427,7 +3427,7 @@ logical_plan 02)--Filter: multiple_ordered_table.b = Int32(0) 03)----TableScan: multiple_ordered_table projection=[a0, a, b, c, d], partial_filters=[multiple_ordered_table.b = Int32(0)] physical_plan -01)BoundedWindowAggExec: wdw=[sum(multiple_ordered_table.a) ORDER BY [multiple_ordered_table.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(multiple_ordered_table.a) ORDER BY [multiple_ordered_table.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +01)BoundedWindowAggExec: wdw=[sum(multiple_ordered_table.a) ORDER BY [multiple_ordered_table.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(multiple_ordered_table.a) ORDER BY [multiple_ordered_table.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 02)--CoalesceBatchesExec: target_batch_size=4096 03)----FilterExec: b@2 = 0 04)------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a0, a, b, c, d], output_orderings=[[a@1 ASC NULLS LAST, b@2 ASC NULLS LAST], [c@3 ASC NULLS LAST]], has_header=true @@ -3445,7 +3445,7 @@ logical_plan 02)--Filter: multiple_ordered_table.b = Int32(0) 03)----TableScan: multiple_ordered_table projection=[a0, a, b, c, d], partial_filters=[multiple_ordered_table.b = Int32(0)] physical_plan -01)BoundedWindowAggExec: wdw=[sum(multiple_ordered_table.a) ORDER BY [multiple_ordered_table.b ASC NULLS LAST, multiple_ordered_table.d ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(multiple_ordered_table.a) ORDER BY [multiple_ordered_table.b ASC NULLS LAST, multiple_ordered_table.d ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +01)BoundedWindowAggExec: wdw=[sum(multiple_ordered_table.a) ORDER BY [multiple_ordered_table.b ASC NULLS LAST, multiple_ordered_table.d ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(multiple_ordered_table.a) ORDER BY [multiple_ordered_table.b ASC NULLS LAST, multiple_ordered_table.d ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 02)--SortExec: expr=[d@4 ASC NULLS LAST], preserve_partitioning=[false] 03)----CoalesceBatchesExec: target_batch_size=4096 04)------FilterExec: b@2 = 0 @@ -3482,9 +3482,9 @@ logical_plan 05)--------TableScan: multiple_ordered_table projection=[a, b, c, d] physical_plan 01)ProjectionExec: expr=[min(multiple_ordered_table.d) ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as min1, max(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.b, multiple_ordered_table.a] ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as max1] -02)--BoundedWindowAggExec: wdw=[min(multiple_ordered_table.d) ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "min(multiple_ordered_table.d) ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +02)--BoundedWindowAggExec: wdw=[min(multiple_ordered_table.d) ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "min(multiple_ordered_table.d) ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 03)----ProjectionExec: expr=[c@2 as c, d@3 as d, max(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.b, multiple_ordered_table.a] ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 as max(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.b, multiple_ordered_table.a] ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW] -04)------BoundedWindowAggExec: wdw=[max(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.b, multiple_ordered_table.a] ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "max(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.b, multiple_ordered_table.a] ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[max(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.b, multiple_ordered_table.a] ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "max(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.b, multiple_ordered_table.a] ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 05)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a, b, c, d], output_orderings=[[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST], [c@2 ASC NULLS LAST]], has_header=true query TT @@ -3501,7 +3501,7 @@ logical_plan 04)------TableScan: multiple_ordered_table projection=[c, d], partial_filters=[multiple_ordered_table.d = Int32(0)] physical_plan 01)ProjectionExec: expr=[max(multiple_ordered_table.c) PARTITION BY [multiple_ordered_table.d] ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as max_c] -02)--BoundedWindowAggExec: wdw=[max(multiple_ordered_table.c) PARTITION BY [multiple_ordered_table.d] ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "max(multiple_ordered_table.c) PARTITION BY [multiple_ordered_table.d] ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +02)--BoundedWindowAggExec: wdw=[max(multiple_ordered_table.c) PARTITION BY [multiple_ordered_table.d] ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "max(multiple_ordered_table.c) PARTITION BY [multiple_ordered_table.d] ORDER BY [multiple_ordered_table.c ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 03)----CoalesceBatchesExec: target_batch_size=4096 04)------FilterExec: d@1 = 0 05)--------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[c, d], output_ordering=[c@0 ASC NULLS LAST], has_header=true @@ -3516,7 +3516,7 @@ logical_plan 03)----TableScan: multiple_ordered_table projection=[a, c, d] physical_plan 01)ProjectionExec: expr=[sum(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.c] ORDER BY [multiple_ordered_table.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as sum(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.c] ORDER BY [multiple_ordered_table.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW] -02)--BoundedWindowAggExec: wdw=[sum(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.c] ORDER BY [multiple_ordered_table.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.c] ORDER BY [multiple_ordered_table.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +02)--BoundedWindowAggExec: wdw=[sum(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.c] ORDER BY [multiple_ordered_table.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.c] ORDER BY [multiple_ordered_table.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 03)----CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a, c, d], output_orderings=[[a@0 ASC NULLS LAST], [c@1 ASC NULLS LAST]], has_header=true query TT @@ -3529,7 +3529,7 @@ logical_plan 03)----TableScan: multiple_ordered_table projection=[a, b, c, d] physical_plan 01)ProjectionExec: expr=[sum(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.c, multiple_ordered_table.a] ORDER BY [multiple_ordered_table.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 as sum(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.c, multiple_ordered_table.a] ORDER BY [multiple_ordered_table.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW] -02)--BoundedWindowAggExec: wdw=[sum(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.c, multiple_ordered_table.a] ORDER BY [multiple_ordered_table.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.c, multiple_ordered_table.a] ORDER BY [multiple_ordered_table.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +02)--BoundedWindowAggExec: wdw=[sum(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.c, multiple_ordered_table.a] ORDER BY [multiple_ordered_table.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(multiple_ordered_table.d) PARTITION BY [multiple_ordered_table.c, multiple_ordered_table.a] ORDER BY [multiple_ordered_table.b ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 03)----CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[a, b, c, d], output_orderings=[[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST], [c@2 ASC NULLS LAST]], has_header=true query I @@ -3571,7 +3571,7 @@ logical_plan physical_plan 01)ProjectionExec: expr=[c@0 as c, nth_value(multiple_ordered_table.c,Int64(2)) ORDER BY [multiple_ordered_table.c DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@1 as nv1] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----WindowAggExec: wdw=[nth_value(multiple_ordered_table.c,Int64(2)) ORDER BY [multiple_ordered_table.c DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "nth_value(multiple_ordered_table.c,Int64(2)) ORDER BY [multiple_ordered_table.c DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(Int32(NULL)), is_causal: false }] +03)----WindowAggExec: wdw=[nth_value(multiple_ordered_table.c,Int64(2)) ORDER BY [multiple_ordered_table.c DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "nth_value(multiple_ordered_table.c,Int64(2)) ORDER BY [multiple_ordered_table.c DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int32, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(Int32(NULL)), is_causal: false }] 04)------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/core/tests/data/window_2.csv]]}, projection=[c], output_ordering=[c@0 ASC NULLS LAST], has_header=true query II @@ -3622,7 +3622,7 @@ logical_plan physical_plan 01)SortPreservingMergeExec: [c@3 ASC NULLS LAST] 02)--ProjectionExec: expr=[a0@0 as a0, a@1 as a, b@2 as b, c@3 as c, d@4 as d, avg(multiple_ordered_table_inf.d) PARTITION BY [multiple_ordered_table_inf.d] ORDER BY [multiple_ordered_table_inf.a ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND CURRENT ROW@5 as avg_d] -03)----BoundedWindowAggExec: wdw=[avg(multiple_ordered_table_inf.d) PARTITION BY [multiple_ordered_table_inf.d] ORDER BY [multiple_ordered_table_inf.a ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND CURRENT ROW: Ok(Field { name: "avg(multiple_ordered_table_inf.d) PARTITION BY [multiple_ordered_table_inf.d] ORDER BY [multiple_ordered_table_inf.a ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND CURRENT ROW", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: CurrentRow, is_causal: false }], mode=[Linear] +03)----BoundedWindowAggExec: wdw=[avg(multiple_ordered_table_inf.d) PARTITION BY [multiple_ordered_table_inf.d] ORDER BY [multiple_ordered_table_inf.a ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND CURRENT ROW: Ok(Field { name: "avg(multiple_ordered_table_inf.d) PARTITION BY [multiple_ordered_table_inf.d] ORDER BY [multiple_ordered_table_inf.a ASC NULLS LAST] RANGE BETWEEN 10 PRECEDING AND CURRENT ROW", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(10)), end_bound: CurrentRow, is_causal: false }], mode=[Linear] 04)------CoalesceBatchesExec: target_batch_size=4096 05)--------RepartitionExec: partitioning=Hash([d@4], 2), input_partitions=2, preserve_order=true, sort_exprs=a@1 ASC NULLS LAST, b@2 ASC NULLS LAST, c@3 ASC NULLS LAST 06)----------RepartitionExec: partitioning=RoundRobinBatch(2), input_partitions=1 @@ -3957,7 +3957,7 @@ logical_plan 03)----TableScan: table_with_pk projection=[sn, ts, currency, amount] physical_plan 01)ProjectionExec: expr=[sn@0 as sn, ts@1 as ts, currency@2 as currency, amount@3 as amount, sum(table_with_pk.amount) ORDER BY [table_with_pk.sn ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 as sum1] -02)--BoundedWindowAggExec: wdw=[sum(table_with_pk.amount) ORDER BY [table_with_pk.sn ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(table_with_pk.amount) ORDER BY [table_with_pk.sn ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Float64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: true }], mode=[Sorted] +02)--BoundedWindowAggExec: wdw=[sum(table_with_pk.amount) ORDER BY [table_with_pk.sn ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(table_with_pk.amount) ORDER BY [table_with_pk.sn ASC NULLS LAST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Float64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: CurrentRow, is_causal: true }], mode=[Sorted] 03)----SortExec: expr=[sn@0 ASC NULLS LAST], preserve_partitioning=[false] 04)------MemoryExec: partitions=1, partition_sizes=[1] @@ -4076,9 +4076,9 @@ logical_plan physical_plan 01)ProjectionExec: expr=[c3@0 as c3, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@4 as sum2, sum1@3 as sum1] 02)--GlobalLimitExec: skip=0, fetch=5 -03)----WindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(Int16(NULL)), is_causal: false }] +03)----WindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: CurrentRow, end_bound: Following(Int16(NULL)), is_causal: false }] 04)------ProjectionExec: expr=[c3@0 as c3, c4@1 as c4, c9@2 as c9, sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as sum1] -05)--------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int16(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "sum(aggregate_test_100.c9) ORDER BY [aggregate_test_100.c3 + aggregate_test_100.c4 DESC NULLS FIRST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: true, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int16(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 06)----------SortExec: expr=[c3@0 + c4@1 DESC], preserve_partitioning=[false] 07)------------CsvExec: file_groups={1 group: [[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c3, c4, c9], has_header=true @@ -4117,7 +4117,7 @@ logical_plan 04)------TableScan: a projection=[a] physical_plan 01)ProjectionExec: expr=[count(*) PARTITION BY [a.a] ORDER BY [a.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@1 as count(*) PARTITION BY [a.a] ORDER BY [a.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW] -02)--BoundedWindowAggExec: wdw=[count(*) PARTITION BY [a.a] ORDER BY [a.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "count(*) PARTITION BY [a.a] ORDER BY [a.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +02)--BoundedWindowAggExec: wdw=[count(*) PARTITION BY [a.a] ORDER BY [a.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "count(*) PARTITION BY [a.a] ORDER BY [a.a ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: Int64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int64(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 03)----CoalesceBatchesExec: target_batch_size=4096 04)------RepartitionExec: partitioning=Hash([a@0], 2), input_partitions=2 05)--------RepartitionExec: partitioning=RoundRobinBatch(2), input_partitions=1 @@ -4140,7 +4140,7 @@ logical_plan 04)------TableScan: a projection=[a] physical_plan 01)ProjectionExec: expr=[row_number() PARTITION BY [a.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@1 as row_number() PARTITION BY [a.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING] -02)--BoundedWindowAggExec: wdw=[row_number() PARTITION BY [a.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() PARTITION BY [a.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] +02)--BoundedWindowAggExec: wdw=[row_number() PARTITION BY [a.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "row_number() PARTITION BY [a.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }], mode=[Sorted] 03)----CoalesceBatchesExec: target_batch_size=4096 04)------RepartitionExec: partitioning=Hash([a@0], 2), input_partitions=2 05)--------RepartitionExec: partitioning=RoundRobinBatch(2), input_partitions=1 @@ -5202,7 +5202,7 @@ logical_plan physical_plan 01)SortPreservingMergeExec: [c1@0 ASC NULLS LAST, c2@1 ASC NULLS LAST, rank@2 ASC NULLS LAST] 02)--ProjectionExec: expr=[c1@0 as c1, c2@1 as c2, rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as rank] -03)----BoundedWindowAggExec: wdw=[rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +03)----BoundedWindowAggExec: wdw=[rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 04)------SortExec: expr=[c1@0 ASC NULLS LAST, c2@1 ASC NULLS LAST], preserve_partitioning=[true] 05)--------CoalesceBatchesExec: target_batch_size=1 06)----------RepartitionExec: partitioning=Hash([c1@0], 2), input_partitions=2 @@ -5246,7 +5246,7 @@ physical_plan 02)--ProjectionExec: expr=[c1@0 as c1, c2@1 as c2, rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as rank] 03)----CoalesceBatchesExec: target_batch_size=1 04)------FilterExec: c2@1 >= 10 -05)--------BoundedWindowAggExec: wdw=[rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 06)----------SortExec: expr=[c1@0 ASC NULLS LAST, c2@1 ASC NULLS LAST], preserve_partitioning=[true] 07)------------CoalesceBatchesExec: target_batch_size=1 08)--------------RepartitionExec: partitioning=Hash([c1@0], 2), input_partitions=2 @@ -5288,7 +5288,7 @@ physical_plan 02)--ProjectionExec: expr=[c1@0 as c1, c2@1 as c2, rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as rank] 03)----CoalesceBatchesExec: target_batch_size=1 04)------FilterExec: c2@1 = 10 -05)--------BoundedWindowAggExec: wdw=[rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 06)----------SortExec: expr=[c2@1 ASC NULLS LAST], preserve_partitioning=[true] 07)------------CoalesceBatchesExec: target_batch_size=1 08)--------------RepartitionExec: partitioning=Hash([c1@0], 2), input_partitions=2 @@ -5329,7 +5329,7 @@ physical_plan 02)--ProjectionExec: expr=[c1@0 as c1, c2@1 as c2, rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as rank] 03)----CoalesceBatchesExec: target_batch_size=1 04)------FilterExec: c1@0 = 1 OR c2@1 = 10 -05)--------BoundedWindowAggExec: wdw=[rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +05)--------BoundedWindowAggExec: wdw=[rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 06)----------SortExec: expr=[c1@0 ASC NULLS LAST, c2@1 ASC NULLS LAST], preserve_partitioning=[true] 07)------------CoalesceBatchesExec: target_batch_size=1 08)--------------RepartitionExec: partitioning=Hash([c1@0], 2), input_partitions=2 @@ -5372,11 +5372,11 @@ physical_plan 01)SortPreservingMergeExec: [c1@0 ASC NULLS LAST, c2@1 ASC NULLS LAST, rank1@2 ASC NULLS LAST, rank2@3 ASC NULLS LAST] 02)--SortExec: expr=[c1@0 ASC NULLS LAST, c2@1 ASC NULLS LAST, rank1@2 ASC NULLS LAST, rank2@3 ASC NULLS LAST], preserve_partitioning=[true] 03)----ProjectionExec: expr=[c1@0 as c1, c2@1 as c2, rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as rank1, rank() PARTITION BY [t1.c2, t1.c1] ORDER BY [t1.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as rank2] -04)------BoundedWindowAggExec: wdw=[rank() PARTITION BY [t1.c2, t1.c1] ORDER BY [t1.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() PARTITION BY [t1.c2, t1.c1] ORDER BY [t1.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[rank() PARTITION BY [t1.c2, t1.c1] ORDER BY [t1.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() PARTITION BY [t1.c2, t1.c1] ORDER BY [t1.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 05)--------SortExec: expr=[c2@1 ASC NULLS LAST, c1@0 ASC NULLS LAST], preserve_partitioning=[true] 06)----------CoalesceBatchesExec: target_batch_size=1 07)------------RepartitionExec: partitioning=Hash([c2@1, c1@0], 2), input_partitions=2 -08)--------------BoundedWindowAggExec: wdw=[rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +08)--------------BoundedWindowAggExec: wdw=[rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 09)----------------SortExec: expr=[c1@0 ASC NULLS LAST, c2@1 ASC NULLS LAST], preserve_partitioning=[true] 10)------------------CoalesceBatchesExec: target_batch_size=1 11)--------------------RepartitionExec: partitioning=Hash([c1@0], 2), input_partitions=2 @@ -5423,13 +5423,13 @@ physical_plan 01)SortPreservingMergeExec: [c1@0 ASC NULLS LAST, c2@1 ASC NULLS LAST, rank1@2 ASC NULLS LAST, rank2@3 ASC NULLS LAST] 02)--SortExec: expr=[c1@0 ASC NULLS LAST, c2@1 ASC NULLS LAST, rank1@2 ASC NULLS LAST, rank2@3 ASC NULLS LAST], preserve_partitioning=[true] 03)----ProjectionExec: expr=[c1@0 as c1, c2@1 as c2, rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@2 as rank1, rank() PARTITION BY [t1.c2, t1.c1] ORDER BY [t1.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW@3 as rank2] -04)------BoundedWindowAggExec: wdw=[rank() PARTITION BY [t1.c2, t1.c1] ORDER BY [t1.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() PARTITION BY [t1.c2, t1.c1] ORDER BY [t1.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +04)------BoundedWindowAggExec: wdw=[rank() PARTITION BY [t1.c2, t1.c1] ORDER BY [t1.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() PARTITION BY [t1.c2, t1.c1] ORDER BY [t1.c1 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 05)--------SortExec: expr=[c2@1 ASC NULLS LAST, c1@0 ASC NULLS LAST], preserve_partitioning=[true] 06)----------CoalesceBatchesExec: target_batch_size=1 07)------------RepartitionExec: partitioning=Hash([c2@1, c1@0], 2), input_partitions=2 08)--------------CoalesceBatchesExec: target_batch_size=1 09)----------------FilterExec: c2@1 > 1 -10)------------------BoundedWindowAggExec: wdw=[rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] +10)------------------BoundedWindowAggExec: wdw=[rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Ok(Field { name: "rank() PARTITION BY [t1.c1] ORDER BY [t1.c2 ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW", data_type: UInt64, nullable: false, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Range, start_bound: Preceding(Int32(NULL)), end_bound: CurrentRow, is_causal: false }], mode=[Sorted] 11)--------------------SortExec: expr=[c1@0 ASC NULLS LAST, c2@1 ASC NULLS LAST], preserve_partitioning=[true] 12)----------------------CoalesceBatchesExec: target_batch_size=1 13)------------------------RepartitionExec: partitioning=Hash([c1@0], 2), input_partitions=2