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[BugFix] RangePredicateExtractor discard predicates mistakenly (backport #50854) #50884

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Original file line number Diff line number Diff line change
Expand Up @@ -53,6 +53,7 @@ private ScalarOperator rewrite(ScalarOperator predicate, boolean onlyExtractColu

Set<ScalarOperator> conjuncts = Sets.newLinkedHashSet();
conjuncts.addAll(Utils.extractConjuncts(predicate));
predicate = Utils.compoundAnd(conjuncts);

Map<ScalarOperator, ValueDescriptor> extractMap = extractImpl(predicate);

Expand All @@ -78,7 +79,6 @@ private ScalarOperator rewrite(ScalarOperator predicate, boolean onlyExtractColu
return predicate;
}

predicate = Utils.compoundAnd(Lists.newArrayList(conjuncts));
if (isOnlyOrCompound(predicate)) {
Set<ColumnRefOperator> c = Sets.newHashSet(Utils.extractColumnRef(predicate));
if (c.size() == extractMap.size() &&
Expand All @@ -91,7 +91,22 @@ private ScalarOperator rewrite(ScalarOperator predicate, boolean onlyExtractColu
List<ScalarOperator> cs = Utils.extractConjuncts(predicate);
Set<ColumnRefOperator> cf = new HashSet<>(Utils.extractColumnRef(predicate));

<<<<<<< HEAD
if (extractMap.values().stream().allMatch(valueDescriptor -> valueDescriptor.sourceCount == cs.size())
=======
// getSourceCount = cs.size() means that all and components have the same column ref
// and it can be merged into one range predicate. mistakenly, when the predicate is
// date_trunc(YEAR, dt) = '2024-01-01' AND mode = 'Buzz' AND
// date_trunc(YEAR, dt) = '2024-01-01' AND mode = 'Buzz' //duplicate
//
// only mode = 'Buzz' is a extractable range predicate, so its corresponding ValueDescriptor's
// sourceCount = 2(since it occurs twice), and cs(it is also 2 in this example)are number of
// unique column refs of the predicate, the two values are properly equivalent, so it yields
// wrong result.
//
// Components of AND/OR should be deduplicated at first to avoid this issue.
if (extractMap.values().stream().allMatch(valueDescriptor -> valueDescriptor.getSourceCount() == cs.size())
>>>>>>> cffaa196d9 ([BugFix] RangePredicateExtractor discard predicates mistakenly (#50854))
&& extractMap.size() == cf.size()) {
return extractExpr;
}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -2,11 +2,20 @@

package com.starrocks.sql.optimizer.rewrite;

import com.google.common.base.Preconditions;
import com.google.common.base.Supplier;
import com.google.common.collect.Lists;
<<<<<<< HEAD
=======
import com.starrocks.analysis.BinaryType;
import com.starrocks.catalog.FunctionSet;
>>>>>>> cffaa196d9 ([BugFix] RangePredicateExtractor discard predicates mistakenly (#50854))
import com.starrocks.catalog.Type;
import com.starrocks.sql.optimizer.Utils;
import com.starrocks.sql.optimizer.operator.OperatorType;
import com.starrocks.sql.optimizer.operator.scalar.BetweenPredicateOperator;
import com.starrocks.sql.optimizer.operator.scalar.BinaryPredicateOperator;
import com.starrocks.sql.optimizer.operator.scalar.CallOperator;
import com.starrocks.sql.optimizer.operator.scalar.CastOperator;
import com.starrocks.sql.optimizer.operator.scalar.ColumnRefOperator;
import com.starrocks.sql.optimizer.operator.scalar.CompoundPredicateOperator;
Expand All @@ -20,6 +29,10 @@
import com.starrocks.sql.optimizer.rewrite.scalar.SimplifiedPredicateRule;
import org.junit.Test;

import java.time.LocalDateTime;
import java.util.Arrays;
import java.util.stream.Collectors;

import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;

Expand Down Expand Up @@ -119,4 +132,32 @@ public void testNormalizeIsNull() {
.rewrite(isnotNull, ScalarOperatorRewriter.DEFAULT_REWRITE_SCAN_PREDICATE_RULES);
assertEquals(ConstantOperator.TRUE, rewritten2);
}

@Test
public void testRangeExtract() {
Supplier<ScalarOperator> predicate1Maker = () -> {
ColumnRefOperator col1 = new ColumnRefOperator(1, Type.DATE, "dt", false);
CallOperator call = new CallOperator(FunctionSet.DATE_TRUNC, Type.DATE,
Arrays.asList(ConstantOperator.createVarchar("YEAR"), col1));
return new BinaryPredicateOperator(BinaryType.EQ, call, ConstantOperator.createDate(
LocalDateTime.of(2024, 1, 1, 0, 0, 0)));
};

Supplier<ScalarOperator> predicate2Maker = () -> {
ColumnRefOperator col2 = new ColumnRefOperator(2, Type.VARCHAR, "mode", false);
return new BinaryPredicateOperator(BinaryType.EQ, col2, ConstantOperator.createVarchar("Buzz"));
};

ScalarOperator predicate1 = Utils.compoundAnd(predicate1Maker.get(), predicate2Maker.get());
ScalarOperator predicate2 = Utils.compoundAnd(predicate1Maker.get(), predicate2Maker.get());
ScalarOperator predicates = Utils.compoundAnd(predicate1, predicate2);

ScalarRangePredicateExtractor rangeExtractor = new ScalarRangePredicateExtractor();
ScalarOperator result = rangeExtractor.rewriteOnlyColumn(Utils.compoundAnd(Utils.extractConjuncts(predicates)
.stream().map(rangeExtractor::rewriteOnlyColumn).collect(Collectors.toList())));
Preconditions.checkState(result != null);
String expect = "date_trunc(YEAR, 1: dt) = 2024-01-01 AND 2: mode = Buzz";
String actual = result.toString();
Assert.assertEquals(actual, expect, actual);
}
}
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