Update docs

datafusion/core/src/datasource/physical_plan/csv.rs

@@ -425,7 +425,7 @@ impl ExecutionPlan for CsvExec {
 /// let file_scan_config = FileScanConfig::new(object_store_url, file_schema, source)
 ///     .with_file(PartitionedFile::new("file1.csv", 100*1024*1024))
 ///     .with_newlines_in_values(true); // The file contains newlines in values;
-/// let exec = file_scan_config.new_exec();
+/// let exec = file_scan_config.build();
 /// ```
 #[derive(Debug, Clone, Default)]
 pub struct CsvSource {

datafusion/core/src/datasource/physical_plan/file_scan_config.rs

@@ -76,16 +76,21 @@ pub fn wrap_partition_value_in_dict(val: ScalarValue) -> ScalarValue {
 /// # Example
 /// ```
 /// # use std::sync::Arc;
-/// # use arrow::datatypes::Schema;
+/// # use arrow::datatypes::{Field, Fields, DataType, Schema};
 /// # use datafusion::datasource::listing::PartitionedFile;
 /// # use datafusion::datasource::physical_plan::FileScanConfig;
 /// # use datafusion_execution::object_store::ObjectStoreUrl;
 /// # use datafusion::datasource::physical_plan::ArrowSource;
-/// use datafusion_physical_plan::ExecutionPlan;
-/// # let file_schema = Arc::new(Schema::empty());
-/// // create FileScan config for reading data from file://
+/// # use datafusion_physical_plan::ExecutionPlan;
+/// # let file_schema = Arc::new(Schema::new(vec![
+/// #  Field::new("c1", DataType::Int32, false),
+/// #  Field::new("c2", DataType::Int32, false),
+/// #  Field::new("c3", DataType::Int32, false),
+/// # ]);
+/// // create FileScan config for reading arrow files from file://
 /// let object_store_url = ObjectStoreUrl::local_filesystem();
-/// let config = FileScanConfig::new(object_store_url, file_schema, Arc::new(ArrowSource::default()))
+/// let file_source = Arc::new(ArrowSource::default());
+/// let config = FileScanConfig::new(object_store_url, file_schema, file_source)
 ///   .with_limit(Some(1000))            // read only the first 1000 records
 ///   .with_projection(Some(vec![2, 3])) // project columns 2 and 3
 ///    // Read /tmp/file1.parquet with known size of 1234 bytes in a single group

datafusion/core/src/datasource/physical_plan/parquet/source.rs

@@ -94,7 +94,7 @@ use object_store::ObjectStore;
 /// // Create a DataSourceExec for reading `file1.parquet` with a file size of 100MB
 /// let file_scan_config = FileScanConfig::new(object_store_url, file_schema, source)
 ///    .with_file(PartitionedFile::new("file1.parquet", 100*1024*1024));
-/// let exec = file_scan_config.new_exec();
+/// let exec = file_scan_config.build();
 /// ```
 ///
 /// # Features
@@ -176,7 +176,7 @@ use object_store::ObjectStore;
 ///         .clone()
 ///        .with_file_groups(vec![file_group.clone()]);
 ///
-///     new_config.new_exec()
+///     new_config.build()
 ///   })
 ///   .collect::<Vec<_>>();
 /// ```
@@ -219,7 +219,7 @@ use object_store::ObjectStore;
 ///     .with_file(partitioned_file);
 /// // this parquet DataSourceExec will not even try to read row groups 2 and 4. Additional
 /// // pruning based on predicates may also happen
-/// let exec = file_scan_config.new_exec();
+/// let exec = file_scan_config.build();
 /// ```
 ///
 /// For a complete example, see the [`advanced_parquet_index` example]).