uros-b commented on code in PR #58609: URL: https://github.com/apache/spark/pull/58609#discussion_r4003233039
########## sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveAsOfJoinSuite.scala: ########## @@ -0,0 +1,240 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql.catalyst.analysis + +import org.apache.spark.SparkThrowable +import org.apache.spark.sql.catalyst.expressions.{Add, AttributeReference, CreateNamedStruct, EqualTo, Expression, GreaterThan, If, LambdaFunction, LessThanOrEqual, Literal, Rand, Subtract, ZipWith} +import org.apache.spark.sql.catalyst.plans.{GreaterThanOp, GreaterThanOrEqualOp, Inner, JoinType, LeftOuter, LessThanOp, LessThanOrEqualOp, MatchComparisonOperator} +import org.apache.spark.sql.catalyst.plans.logical.{AsOfJoin, LocalRelation, LogicalPlan, Project} +import org.apache.spark.sql.internal.SQLConf +import org.apache.spark.sql.types._ + +/** + * Unit tests for the analyzer rule [[ResolveAsOfJoin]], which materializes a SQL + * `MATCH_CONDITION` into an [[AsOfJoin]]'s executable fields and expands `USING` into equi-join + * predicates. Operands are resolved by the generic `ResolveReferences`, so these tests feed + * already-resolved operands, mirroring `ResolveBinBySuite`. + */ +class ResolveAsOfJoinSuite extends AnalysisTest { + + // Left is nullable, right is non-nullable, so LEFT OUTER's nullability change is observable. + private val lk = AttributeReference("k", IntegerType)() + private val la = AttributeReference("a", IntegerType)() + private val rk = AttributeReference("k", IntegerType, nullable = false)() + private val rb = AttributeReference("b", IntegerType, nullable = false)() + private val left: LogicalPlan = LocalRelation(lk, la) + private val right: LogicalPlan = LocalRelation(rk, rb) + + // Non-orderable (MAP) operands for the invalid-type case. + private val lmap = AttributeReference("m", MapType(StringType, IntegerType))() + private val rmap = AttributeReference("m", MapType(StringType, IntegerType))() + private val leftMap: LogicalPlan = LocalRelation(lmap) + private val rightMap: LogicalPlan = LocalRelation(rmap) + + // Two shared key columns on each side (plus a distinct match operand) for multi-column USING. + private val lOp = AttributeReference("lop", IntegerType)() + private val lKey1 = AttributeReference("k1", IntegerType)() + private val lKey2 = AttributeReference("k2", IntegerType)() + private val rOp = AttributeReference("rop", IntegerType, nullable = false)() + private val rKey1 = AttributeReference("k1", IntegerType, nullable = false)() + private val rKey2 = AttributeReference("k2", IntegerType, nullable = false)() + private val leftKeys: LogicalPlan = LocalRelation(lOp, lKey1, lKey2) + private val rightKeys: LogicalPlan = LocalRelation(rOp, rKey1, rKey2) + + // String operands: not subtractable, so the distance is a signed -1 / 0 / +1 rank. + private val lstr = AttributeReference("s", StringType)() + private val rstr = AttributeReference("s", StringType, nullable = false)() + private val leftStr: LogicalPlan = LocalRelation(lstr) + private val rightStr: LogicalPlan = LocalRelation(rstr) + + // Array operands: the distance is computed element-wise via ZipWith. + private val larr = AttributeReference("arr", ArrayType(IntegerType))() + private val rarr = AttributeReference("arr", ArrayType(IntegerType))() + private val leftArr: LogicalPlan = LocalRelation(larr) + private val rightArr: LogicalPlan = LocalRelation(rarr) + + // Positional struct operands (different field names): the distance is flattened per field. + private val lstruct = AttributeReference( + "st", StructType(StructField("f1", IntegerType) :: StructField("f2", IntegerType) :: Nil))() + private val rstruct = AttributeReference( + "st", StructType(StructField("g1", IntegerType) :: StructField("g2", IntegerType) :: Nil))() + private val leftStruct: LogicalPlan = LocalRelation(lstruct) + private val rightStruct: LogicalPlan = LocalRelation(rstruct) + + /** Build an [[AsOfJoin]] from a `MATCH_CONDITION` whose operands are already resolved. */ + private def asOf( + leftExpr: Expression = la, + operator: MatchComparisonOperator = GreaterThanOrEqualOp, + rightExpr: Expression = rb, + condition: Option[Expression] = None, + joinType: JoinType = Inner, + usingColumns: Option[Seq[String]] = None, + l: LogicalPlan = left, + r: LogicalPlan = right): AsOfJoin = + AsOfJoin.fromMatchCondition(l, r, leftExpr, operator, rightExpr, condition, joinType, + usingColumns) + + private def expectError(plan: LogicalPlan, condition: String): Unit = { + val ex = intercept[SparkThrowable](ResolveAsOfJoin.apply(plan)) + assert(ex.getCondition == condition, + s"expected condition '$condition' but got '${ex.getCondition}'") + } + + test("materializes MATCH_CONDITION into asOfCondition and clears the match fields") { + val resolved = ResolveAsOfJoin.apply(asOf()).asInstanceOf[AsOfJoin] + assert(resolved.matchLeftOperand.isEmpty) + assert(resolved.matchOperator.isEmpty) + assert(resolved.matchRightOperand.isEmpty) + assert(resolved.asOfCondition.dataType == BooleanType) + assert(resolved.asOfCondition.resolved) + assert(resolved.resolved) + } + + test("materializes each MATCH_CONDITION comparison operator") { + Seq(GreaterThanOrEqualOp, GreaterThanOp, LessThanOrEqualOp, LessThanOp).foreach { op => + val r = ResolveAsOfJoin.apply(asOf(operator = op)).asInstanceOf[AsOfJoin] + assert(r.matchOperator.isEmpty, s"operator $op should be materialized") + assert(r.asOfCondition.dataType == BooleanType, s"operator $op") + assert(r.resolved, s"operator $op") + } + } Review Comment: asOfCondition is never checked (this suite cannot tell > from >=). The headline test only checks that asOfCondition is a resolved boolean. The operator loop does the same. buildLeafOrderExpression uses the same Subtract (or the same ±1 If) for > and >=, and the same flipped form for < and <=. The only thing that distinguishes the four operators is asOfCondition (GreaterThanOrEqual(la, rb) vs GreaterThan(la, rb), etc.). A regression that always materialized >= would still pass this suite. ########## sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveAsOfJoinSuite.scala: ########## @@ -0,0 +1,240 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql.catalyst.analysis + +import org.apache.spark.SparkThrowable +import org.apache.spark.sql.catalyst.expressions.{Add, AttributeReference, CreateNamedStruct, EqualTo, Expression, GreaterThan, If, LambdaFunction, LessThanOrEqual, Literal, Rand, Subtract, ZipWith} +import org.apache.spark.sql.catalyst.plans.{GreaterThanOp, GreaterThanOrEqualOp, Inner, JoinType, LeftOuter, LessThanOp, LessThanOrEqualOp, MatchComparisonOperator} +import org.apache.spark.sql.catalyst.plans.logical.{AsOfJoin, LocalRelation, LogicalPlan, Project} +import org.apache.spark.sql.internal.SQLConf +import org.apache.spark.sql.types._ + +/** + * Unit tests for the analyzer rule [[ResolveAsOfJoin]], which materializes a SQL + * `MATCH_CONDITION` into an [[AsOfJoin]]'s executable fields and expands `USING` into equi-join + * predicates. Operands are resolved by the generic `ResolveReferences`, so these tests feed + * already-resolved operands, mirroring `ResolveBinBySuite`. + */ +class ResolveAsOfJoinSuite extends AnalysisTest { + + // Left is nullable, right is non-nullable, so LEFT OUTER's nullability change is observable. + private val lk = AttributeReference("k", IntegerType)() + private val la = AttributeReference("a", IntegerType)() + private val rk = AttributeReference("k", IntegerType, nullable = false)() + private val rb = AttributeReference("b", IntegerType, nullable = false)() + private val left: LogicalPlan = LocalRelation(lk, la) + private val right: LogicalPlan = LocalRelation(rk, rb) + + // Non-orderable (MAP) operands for the invalid-type case. + private val lmap = AttributeReference("m", MapType(StringType, IntegerType))() + private val rmap = AttributeReference("m", MapType(StringType, IntegerType))() + private val leftMap: LogicalPlan = LocalRelation(lmap) + private val rightMap: LogicalPlan = LocalRelation(rmap) + + // Two shared key columns on each side (plus a distinct match operand) for multi-column USING. + private val lOp = AttributeReference("lop", IntegerType)() + private val lKey1 = AttributeReference("k1", IntegerType)() + private val lKey2 = AttributeReference("k2", IntegerType)() + private val rOp = AttributeReference("rop", IntegerType, nullable = false)() + private val rKey1 = AttributeReference("k1", IntegerType, nullable = false)() + private val rKey2 = AttributeReference("k2", IntegerType, nullable = false)() + private val leftKeys: LogicalPlan = LocalRelation(lOp, lKey1, lKey2) + private val rightKeys: LogicalPlan = LocalRelation(rOp, rKey1, rKey2) + + // String operands: not subtractable, so the distance is a signed -1 / 0 / +1 rank. + private val lstr = AttributeReference("s", StringType)() + private val rstr = AttributeReference("s", StringType, nullable = false)() + private val leftStr: LogicalPlan = LocalRelation(lstr) + private val rightStr: LogicalPlan = LocalRelation(rstr) + + // Array operands: the distance is computed element-wise via ZipWith. + private val larr = AttributeReference("arr", ArrayType(IntegerType))() + private val rarr = AttributeReference("arr", ArrayType(IntegerType))() + private val leftArr: LogicalPlan = LocalRelation(larr) + private val rightArr: LogicalPlan = LocalRelation(rarr) + + // Positional struct operands (different field names): the distance is flattened per field. + private val lstruct = AttributeReference( + "st", StructType(StructField("f1", IntegerType) :: StructField("f2", IntegerType) :: Nil))() + private val rstruct = AttributeReference( + "st", StructType(StructField("g1", IntegerType) :: StructField("g2", IntegerType) :: Nil))() + private val leftStruct: LogicalPlan = LocalRelation(lstruct) + private val rightStruct: LogicalPlan = LocalRelation(rstruct) + + /** Build an [[AsOfJoin]] from a `MATCH_CONDITION` whose operands are already resolved. */ + private def asOf( + leftExpr: Expression = la, + operator: MatchComparisonOperator = GreaterThanOrEqualOp, + rightExpr: Expression = rb, + condition: Option[Expression] = None, + joinType: JoinType = Inner, + usingColumns: Option[Seq[String]] = None, + l: LogicalPlan = left, + r: LogicalPlan = right): AsOfJoin = + AsOfJoin.fromMatchCondition(l, r, leftExpr, operator, rightExpr, condition, joinType, + usingColumns) + + private def expectError(plan: LogicalPlan, condition: String): Unit = { + val ex = intercept[SparkThrowable](ResolveAsOfJoin.apply(plan)) + assert(ex.getCondition == condition, + s"expected condition '$condition' but got '${ex.getCondition}'") + } + + test("materializes MATCH_CONDITION into asOfCondition and clears the match fields") { + val resolved = ResolveAsOfJoin.apply(asOf()).asInstanceOf[AsOfJoin] + assert(resolved.matchLeftOperand.isEmpty) + assert(resolved.matchOperator.isEmpty) + assert(resolved.matchRightOperand.isEmpty) + assert(resolved.asOfCondition.dataType == BooleanType) + assert(resolved.asOfCondition.resolved) + assert(resolved.resolved) + } + + test("materializes each MATCH_CONDITION comparison operator") { + Seq(GreaterThanOrEqualOp, GreaterThanOp, LessThanOrEqualOp, LessThanOp).foreach { op => + val r = ResolveAsOfJoin.apply(asOf(operator = op)).asInstanceOf[AsOfJoin] + assert(r.matchOperator.isEmpty, s"operator $op should be materialized") + assert(r.asOfCondition.dataType == BooleanType, s"operator $op") + assert(r.resolved, s"operator $op") + } + } + + test("materializes a subtractable leaf operand into a Subtract distance") { + val ge = ResolveAsOfJoin.apply(asOf(operator = GreaterThanOrEqualOp)).asInstanceOf[AsOfJoin] + assert(ge.matchOperator.isEmpty) + assert(ge.orderExpression == Subtract(la, rb)) + // `<` / `<=` flip the operands so the distance stays non-negative on the matching side. + val le = ResolveAsOfJoin.apply(asOf(operator = LessThanOrEqualOp)).asInstanceOf[AsOfJoin] + assert(le.orderExpression == Subtract(rb, la)) + } + + test("materializes a non-subtractable String operand into a signed comparison distance") { + val resolved = ResolveAsOfJoin.apply( + asOf(leftExpr = lstr, rightExpr = rstr, l = leftStr, r = rightStr)).asInstanceOf[AsOfJoin] + assert(resolved.matchOperator.isEmpty) + // Strings cannot be subtracted, so the distance is a -1 / 0 / +1 rank. + val expected = If( + EqualTo(lstr, rstr), + Literal(0), + If(GreaterThan(lstr, rstr), Literal(1), Literal(-1))) + assert(resolved.orderExpression == expected) + } + + test("flips the signed comparison distance for a less-than match operator") { + val resolved = ResolveAsOfJoin.apply( + asOf(leftExpr = lstr, operator = LessThanOrEqualOp, rightExpr = rstr, + l = leftStr, r = rightStr)).asInstanceOf[AsOfJoin] + val expected = If( + EqualTo(lstr, rstr), + Literal(0), + If(GreaterThan(lstr, rstr), Literal(-1), Literal(1))) + assert(resolved.orderExpression == expected) + } + + test("materializes an array operand into an element-wise ZipWith distance") { + val resolved = ResolveAsOfJoin.apply( + asOf(leftExpr = larr, rightExpr = rarr, l = leftArr, r = rightArr)).asInstanceOf[AsOfJoin] + assert(resolved.matchOperator.isEmpty) + val order = resolved.orderExpression + assert(order.isInstanceOf[ZipWith], s"expected ZipWith, got ${order.getClass.getSimpleName}") + val zip = order.asInstanceOf[ZipWith] + assert(zip.left == larr && zip.right == rarr) + // Each element pair reuses the subtractable-leaf distance (Subtract) inside the lambda. + val body = zip.function.asInstanceOf[LambdaFunction].function + assert(body.isInstanceOf[Subtract], s"expected a Subtract element distance, got $body") + } + + test("materializes a positional struct operand into a flattened per-field distance") { + val resolved = ResolveAsOfJoin.apply( + asOf(leftExpr = lstruct, rightExpr = rstruct, l = leftStruct, r = rightStruct)) + .asInstanceOf[AsOfJoin] + assert(resolved.matchOperator.isEmpty) + val order = resolved.orderExpression + assert(order.isInstanceOf[CreateNamedStruct], + s"expected CreateNamedStruct, got ${order.getClass.getSimpleName}") + val fields = order.asInstanceOf[CreateNamedStruct].valExprs + // One Subtract distance per struct field, kept together in a composite struct. + assert(fields.size == 2) + assert(fields.forall(_.isInstanceOf[Subtract]), s"expected per-field Subtracts, got $fields") + } + + test("expands USING into an equi-join predicate wrapped in a Project") { + val result = ResolveAsOfJoin.apply(asOf(usingColumns = Some(Seq("k")))) + val project = result.asInstanceOf[Project] + val join = project.child.asInstanceOf[AsOfJoin] + assert(join.usingColumns.isEmpty, "USING should be consumed") + assert(join.condition.isDefined, "USING should expand into an equi-join condition") + assert(join.matchOperator.isEmpty, "the match condition should still be materialized") + assert(project.getTagValue(Project.hiddenOutputTag).isDefined, + "USING columns should be tagged as hidden output") + } + + test("expands multi-column USING into ANDed equi-join predicates") { + val result = ResolveAsOfJoin.apply( + asOf(leftExpr = lOp, rightExpr = rOp, usingColumns = Some(Seq("k1", "k2")), + l = leftKeys, r = rightKeys)) + val project = result.asInstanceOf[Project] + val join = project.child.asInstanceOf[AsOfJoin] + assert(join.usingColumns.isEmpty) + // USING (k1, k2) expands to k1 = k1 AND k2 = k2: two equi-predicates. + assert(join.condition.get.collect { case e: EqualTo => e }.size == 2, + s"expected two equi-predicates, got ${join.condition}") + assert(project.getTagValue(Project.hiddenOutputTag).isDefined) + } + + test("keeps an explicit ON condition and does not add a USING projection") { + val onCond = LessThanOrEqual(la, rb) + val join = ResolveAsOfJoin.apply(asOf(condition = Some(onCond))).asInstanceOf[AsOfJoin] + assert(join.condition.contains(onCond)) + assert(join.usingColumns.isEmpty) + assert(join.matchOperator.isEmpty) + } + + test("Inner preserves right-side nullability; LEFT OUTER makes the right side nullable") { Review Comment: The nullability test does not exercise the rule. AsOfJoin.computeOutput is independent of ResolveAsOfJoin. The assertions pass even if the rule is a no-op. Either drop it or also assert match fields were cleared. ########## sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveAsOfJoinSuite.scala: ########## @@ -0,0 +1,240 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql.catalyst.analysis + +import org.apache.spark.SparkThrowable +import org.apache.spark.sql.catalyst.expressions.{Add, AttributeReference, CreateNamedStruct, EqualTo, Expression, GreaterThan, If, LambdaFunction, LessThanOrEqual, Literal, Rand, Subtract, ZipWith} +import org.apache.spark.sql.catalyst.plans.{GreaterThanOp, GreaterThanOrEqualOp, Inner, JoinType, LeftOuter, LessThanOp, LessThanOrEqualOp, MatchComparisonOperator} +import org.apache.spark.sql.catalyst.plans.logical.{AsOfJoin, LocalRelation, LogicalPlan, Project} +import org.apache.spark.sql.internal.SQLConf +import org.apache.spark.sql.types._ + +/** + * Unit tests for the analyzer rule [[ResolveAsOfJoin]], which materializes a SQL + * `MATCH_CONDITION` into an [[AsOfJoin]]'s executable fields and expands `USING` into equi-join + * predicates. Operands are resolved by the generic `ResolveReferences`, so these tests feed + * already-resolved operands, mirroring `ResolveBinBySuite`. + */ +class ResolveAsOfJoinSuite extends AnalysisTest { + + // Left is nullable, right is non-nullable, so LEFT OUTER's nullability change is observable. + private val lk = AttributeReference("k", IntegerType)() + private val la = AttributeReference("a", IntegerType)() + private val rk = AttributeReference("k", IntegerType, nullable = false)() + private val rb = AttributeReference("b", IntegerType, nullable = false)() + private val left: LogicalPlan = LocalRelation(lk, la) + private val right: LogicalPlan = LocalRelation(rk, rb) + + // Non-orderable (MAP) operands for the invalid-type case. + private val lmap = AttributeReference("m", MapType(StringType, IntegerType))() + private val rmap = AttributeReference("m", MapType(StringType, IntegerType))() + private val leftMap: LogicalPlan = LocalRelation(lmap) + private val rightMap: LogicalPlan = LocalRelation(rmap) + + // Two shared key columns on each side (plus a distinct match operand) for multi-column USING. + private val lOp = AttributeReference("lop", IntegerType)() + private val lKey1 = AttributeReference("k1", IntegerType)() + private val lKey2 = AttributeReference("k2", IntegerType)() + private val rOp = AttributeReference("rop", IntegerType, nullable = false)() + private val rKey1 = AttributeReference("k1", IntegerType, nullable = false)() + private val rKey2 = AttributeReference("k2", IntegerType, nullable = false)() + private val leftKeys: LogicalPlan = LocalRelation(lOp, lKey1, lKey2) + private val rightKeys: LogicalPlan = LocalRelation(rOp, rKey1, rKey2) + + // String operands: not subtractable, so the distance is a signed -1 / 0 / +1 rank. + private val lstr = AttributeReference("s", StringType)() + private val rstr = AttributeReference("s", StringType, nullable = false)() + private val leftStr: LogicalPlan = LocalRelation(lstr) + private val rightStr: LogicalPlan = LocalRelation(rstr) + + // Array operands: the distance is computed element-wise via ZipWith. + private val larr = AttributeReference("arr", ArrayType(IntegerType))() + private val rarr = AttributeReference("arr", ArrayType(IntegerType))() + private val leftArr: LogicalPlan = LocalRelation(larr) + private val rightArr: LogicalPlan = LocalRelation(rarr) + + // Positional struct operands (different field names): the distance is flattened per field. + private val lstruct = AttributeReference( + "st", StructType(StructField("f1", IntegerType) :: StructField("f2", IntegerType) :: Nil))() + private val rstruct = AttributeReference( + "st", StructType(StructField("g1", IntegerType) :: StructField("g2", IntegerType) :: Nil))() + private val leftStruct: LogicalPlan = LocalRelation(lstruct) + private val rightStruct: LogicalPlan = LocalRelation(rstruct) + + /** Build an [[AsOfJoin]] from a `MATCH_CONDITION` whose operands are already resolved. */ + private def asOf( + leftExpr: Expression = la, + operator: MatchComparisonOperator = GreaterThanOrEqualOp, + rightExpr: Expression = rb, + condition: Option[Expression] = None, + joinType: JoinType = Inner, + usingColumns: Option[Seq[String]] = None, + l: LogicalPlan = left, + r: LogicalPlan = right): AsOfJoin = + AsOfJoin.fromMatchCondition(l, r, leftExpr, operator, rightExpr, condition, joinType, + usingColumns) + + private def expectError(plan: LogicalPlan, condition: String): Unit = { + val ex = intercept[SparkThrowable](ResolveAsOfJoin.apply(plan)) + assert(ex.getCondition == condition, + s"expected condition '$condition' but got '${ex.getCondition}'") + } + + test("materializes MATCH_CONDITION into asOfCondition and clears the match fields") { + val resolved = ResolveAsOfJoin.apply(asOf()).asInstanceOf[AsOfJoin] + assert(resolved.matchLeftOperand.isEmpty) + assert(resolved.matchOperator.isEmpty) + assert(resolved.matchRightOperand.isEmpty) + assert(resolved.asOfCondition.dataType == BooleanType) + assert(resolved.asOfCondition.resolved) + assert(resolved.resolved) + } + + test("materializes each MATCH_CONDITION comparison operator") { + Seq(GreaterThanOrEqualOp, GreaterThanOp, LessThanOrEqualOp, LessThanOp).foreach { op => + val r = ResolveAsOfJoin.apply(asOf(operator = op)).asInstanceOf[AsOfJoin] + assert(r.matchOperator.isEmpty, s"operator $op should be materialized") + assert(r.asOfCondition.dataType == BooleanType, s"operator $op") + assert(r.resolved, s"operator $op") + } + } + + test("materializes a subtractable leaf operand into a Subtract distance") { + val ge = ResolveAsOfJoin.apply(asOf(operator = GreaterThanOrEqualOp)).asInstanceOf[AsOfJoin] + assert(ge.matchOperator.isEmpty) + assert(ge.orderExpression == Subtract(la, rb)) + // `<` / `<=` flip the operands so the distance stays non-negative on the matching side. + val le = ResolveAsOfJoin.apply(asOf(operator = LessThanOrEqualOp)).asInstanceOf[AsOfJoin] + assert(le.orderExpression == Subtract(rb, la)) + } + + test("materializes a non-subtractable String operand into a signed comparison distance") { + val resolved = ResolveAsOfJoin.apply( + asOf(leftExpr = lstr, rightExpr = rstr, l = leftStr, r = rightStr)).asInstanceOf[AsOfJoin] + assert(resolved.matchOperator.isEmpty) + // Strings cannot be subtracted, so the distance is a -1 / 0 / +1 rank. + val expected = If( + EqualTo(lstr, rstr), + Literal(0), + If(GreaterThan(lstr, rstr), Literal(1), Literal(-1))) + assert(resolved.orderExpression == expected) + } + + test("flips the signed comparison distance for a less-than match operator") { + val resolved = ResolveAsOfJoin.apply( + asOf(leftExpr = lstr, operator = LessThanOrEqualOp, rightExpr = rstr, + l = leftStr, r = rightStr)).asInstanceOf[AsOfJoin] + val expected = If( + EqualTo(lstr, rstr), + Literal(0), + If(GreaterThan(lstr, rstr), Literal(-1), Literal(1))) + assert(resolved.orderExpression == expected) + } + + test("materializes an array operand into an element-wise ZipWith distance") { + val resolved = ResolveAsOfJoin.apply( + asOf(leftExpr = larr, rightExpr = rarr, l = leftArr, r = rightArr)).asInstanceOf[AsOfJoin] + assert(resolved.matchOperator.isEmpty) + val order = resolved.orderExpression + assert(order.isInstanceOf[ZipWith], s"expected ZipWith, got ${order.getClass.getSimpleName}") + val zip = order.asInstanceOf[ZipWith] + assert(zip.left == larr && zip.right == rarr) + // Each element pair reuses the subtractable-leaf distance (Subtract) inside the lambda. + val body = zip.function.asInstanceOf[LambdaFunction].function + assert(body.isInstanceOf[Subtract], s"expected a Subtract element distance, got $body") + } + + test("materializes a positional struct operand into a flattened per-field distance") { + val resolved = ResolveAsOfJoin.apply( + asOf(leftExpr = lstruct, rightExpr = rstruct, l = leftStruct, r = rightStruct)) + .asInstanceOf[AsOfJoin] + assert(resolved.matchOperator.isEmpty) + val order = resolved.orderExpression + assert(order.isInstanceOf[CreateNamedStruct], + s"expected CreateNamedStruct, got ${order.getClass.getSimpleName}") + val fields = order.asInstanceOf[CreateNamedStruct].valExprs + // One Subtract distance per struct field, kept together in a composite struct. + assert(fields.size == 2) + assert(fields.forall(_.isInstanceOf[Subtract]), s"expected per-field Subtracts, got $fields") + } + + test("expands USING into an equi-join predicate wrapped in a Project") { + val result = ResolveAsOfJoin.apply(asOf(usingColumns = Some(Seq("k")))) + val project = result.asInstanceOf[Project] + val join = project.child.asInstanceOf[AsOfJoin] + assert(join.usingColumns.isEmpty, "USING should be consumed") + assert(join.condition.isDefined, "USING should expand into an equi-join condition") Review Comment: USING expansion is under-specified. The tests only check condition.isDefined / “two EqualTos”. Please assert EqualTo(lk, rk) (and k1/k2) so a wrong pairing still fails. ########## sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveAsOfJoinSuite.scala: ########## @@ -0,0 +1,240 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql.catalyst.analysis + +import org.apache.spark.SparkThrowable +import org.apache.spark.sql.catalyst.expressions.{Add, AttributeReference, CreateNamedStruct, EqualTo, Expression, GreaterThan, If, LambdaFunction, LessThanOrEqual, Literal, Rand, Subtract, ZipWith} +import org.apache.spark.sql.catalyst.plans.{GreaterThanOp, GreaterThanOrEqualOp, Inner, JoinType, LeftOuter, LessThanOp, LessThanOrEqualOp, MatchComparisonOperator} +import org.apache.spark.sql.catalyst.plans.logical.{AsOfJoin, LocalRelation, LogicalPlan, Project} +import org.apache.spark.sql.internal.SQLConf +import org.apache.spark.sql.types._ + +/** + * Unit tests for the analyzer rule [[ResolveAsOfJoin]], which materializes a SQL + * `MATCH_CONDITION` into an [[AsOfJoin]]'s executable fields and expands `USING` into equi-join + * predicates. Operands are resolved by the generic `ResolveReferences`, so these tests feed + * already-resolved operands, mirroring `ResolveBinBySuite`. + */ +class ResolveAsOfJoinSuite extends AnalysisTest { + + // Left is nullable, right is non-nullable, so LEFT OUTER's nullability change is observable. + private val lk = AttributeReference("k", IntegerType)() + private val la = AttributeReference("a", IntegerType)() + private val rk = AttributeReference("k", IntegerType, nullable = false)() + private val rb = AttributeReference("b", IntegerType, nullable = false)() + private val left: LogicalPlan = LocalRelation(lk, la) + private val right: LogicalPlan = LocalRelation(rk, rb) + + // Non-orderable (MAP) operands for the invalid-type case. + private val lmap = AttributeReference("m", MapType(StringType, IntegerType))() + private val rmap = AttributeReference("m", MapType(StringType, IntegerType))() + private val leftMap: LogicalPlan = LocalRelation(lmap) + private val rightMap: LogicalPlan = LocalRelation(rmap) + + // Two shared key columns on each side (plus a distinct match operand) for multi-column USING. + private val lOp = AttributeReference("lop", IntegerType)() + private val lKey1 = AttributeReference("k1", IntegerType)() + private val lKey2 = AttributeReference("k2", IntegerType)() + private val rOp = AttributeReference("rop", IntegerType, nullable = false)() + private val rKey1 = AttributeReference("k1", IntegerType, nullable = false)() + private val rKey2 = AttributeReference("k2", IntegerType, nullable = false)() + private val leftKeys: LogicalPlan = LocalRelation(lOp, lKey1, lKey2) + private val rightKeys: LogicalPlan = LocalRelation(rOp, rKey1, rKey2) + + // String operands: not subtractable, so the distance is a signed -1 / 0 / +1 rank. + private val lstr = AttributeReference("s", StringType)() + private val rstr = AttributeReference("s", StringType, nullable = false)() + private val leftStr: LogicalPlan = LocalRelation(lstr) + private val rightStr: LogicalPlan = LocalRelation(rstr) + + // Array operands: the distance is computed element-wise via ZipWith. + private val larr = AttributeReference("arr", ArrayType(IntegerType))() + private val rarr = AttributeReference("arr", ArrayType(IntegerType))() + private val leftArr: LogicalPlan = LocalRelation(larr) + private val rightArr: LogicalPlan = LocalRelation(rarr) + + // Positional struct operands (different field names): the distance is flattened per field. + private val lstruct = AttributeReference( + "st", StructType(StructField("f1", IntegerType) :: StructField("f2", IntegerType) :: Nil))() + private val rstruct = AttributeReference( + "st", StructType(StructField("g1", IntegerType) :: StructField("g2", IntegerType) :: Nil))() + private val leftStruct: LogicalPlan = LocalRelation(lstruct) + private val rightStruct: LogicalPlan = LocalRelation(rstruct) + + /** Build an [[AsOfJoin]] from a `MATCH_CONDITION` whose operands are already resolved. */ + private def asOf( + leftExpr: Expression = la, + operator: MatchComparisonOperator = GreaterThanOrEqualOp, + rightExpr: Expression = rb, + condition: Option[Expression] = None, + joinType: JoinType = Inner, + usingColumns: Option[Seq[String]] = None, + l: LogicalPlan = left, + r: LogicalPlan = right): AsOfJoin = + AsOfJoin.fromMatchCondition(l, r, leftExpr, operator, rightExpr, condition, joinType, + usingColumns) + + private def expectError(plan: LogicalPlan, condition: String): Unit = { + val ex = intercept[SparkThrowable](ResolveAsOfJoin.apply(plan)) + assert(ex.getCondition == condition, + s"expected condition '$condition' but got '${ex.getCondition}'") + } + + test("materializes MATCH_CONDITION into asOfCondition and clears the match fields") { + val resolved = ResolveAsOfJoin.apply(asOf()).asInstanceOf[AsOfJoin] + assert(resolved.matchLeftOperand.isEmpty) + assert(resolved.matchOperator.isEmpty) + assert(resolved.matchRightOperand.isEmpty) + assert(resolved.asOfCondition.dataType == BooleanType) + assert(resolved.asOfCondition.resolved) + assert(resolved.resolved) + } + + test("materializes each MATCH_CONDITION comparison operator") { + Seq(GreaterThanOrEqualOp, GreaterThanOp, LessThanOrEqualOp, LessThanOp).foreach { op => + val r = ResolveAsOfJoin.apply(asOf(operator = op)).asInstanceOf[AsOfJoin] + assert(r.matchOperator.isEmpty, s"operator $op should be materialized") + assert(r.asOfCondition.dataType == BooleanType, s"operator $op") + assert(r.resolved, s"operator $op") + } + } Review Comment: Please assert the comparison node, at least: ``` assert(ge.asOfCondition == GreaterThanOrEqual(la, rb)) assert(gt.asOfCondition == GreaterThan(la, rb)) assert(le.asOfCondition == LessThanOrEqual(la, rb)) assert(lt.asOfCondition == LessThan(la, rb)) ``` ########## sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveAsOfJoinSuite.scala: ########## @@ -0,0 +1,240 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql.catalyst.analysis + +import org.apache.spark.SparkThrowable +import org.apache.spark.sql.catalyst.expressions.{Add, AttributeReference, CreateNamedStruct, EqualTo, Expression, GreaterThan, If, LambdaFunction, LessThanOrEqual, Literal, Rand, Subtract, ZipWith} +import org.apache.spark.sql.catalyst.plans.{GreaterThanOp, GreaterThanOrEqualOp, Inner, JoinType, LeftOuter, LessThanOp, LessThanOrEqualOp, MatchComparisonOperator} +import org.apache.spark.sql.catalyst.plans.logical.{AsOfJoin, LocalRelation, LogicalPlan, Project} +import org.apache.spark.sql.internal.SQLConf +import org.apache.spark.sql.types._ + +/** + * Unit tests for the analyzer rule [[ResolveAsOfJoin]], which materializes a SQL + * `MATCH_CONDITION` into an [[AsOfJoin]]'s executable fields and expands `USING` into equi-join + * predicates. Operands are resolved by the generic `ResolveReferences`, so these tests feed + * already-resolved operands, mirroring `ResolveBinBySuite`. + */ +class ResolveAsOfJoinSuite extends AnalysisTest { + + // Left is nullable, right is non-nullable, so LEFT OUTER's nullability change is observable. + private val lk = AttributeReference("k", IntegerType)() + private val la = AttributeReference("a", IntegerType)() + private val rk = AttributeReference("k", IntegerType, nullable = false)() + private val rb = AttributeReference("b", IntegerType, nullable = false)() + private val left: LogicalPlan = LocalRelation(lk, la) + private val right: LogicalPlan = LocalRelation(rk, rb) + + // Non-orderable (MAP) operands for the invalid-type case. + private val lmap = AttributeReference("m", MapType(StringType, IntegerType))() + private val rmap = AttributeReference("m", MapType(StringType, IntegerType))() + private val leftMap: LogicalPlan = LocalRelation(lmap) + private val rightMap: LogicalPlan = LocalRelation(rmap) + + // Two shared key columns on each side (plus a distinct match operand) for multi-column USING. + private val lOp = AttributeReference("lop", IntegerType)() + private val lKey1 = AttributeReference("k1", IntegerType)() + private val lKey2 = AttributeReference("k2", IntegerType)() + private val rOp = AttributeReference("rop", IntegerType, nullable = false)() + private val rKey1 = AttributeReference("k1", IntegerType, nullable = false)() + private val rKey2 = AttributeReference("k2", IntegerType, nullable = false)() + private val leftKeys: LogicalPlan = LocalRelation(lOp, lKey1, lKey2) + private val rightKeys: LogicalPlan = LocalRelation(rOp, rKey1, rKey2) + + // String operands: not subtractable, so the distance is a signed -1 / 0 / +1 rank. + private val lstr = AttributeReference("s", StringType)() + private val rstr = AttributeReference("s", StringType, nullable = false)() + private val leftStr: LogicalPlan = LocalRelation(lstr) + private val rightStr: LogicalPlan = LocalRelation(rstr) + + // Array operands: the distance is computed element-wise via ZipWith. + private val larr = AttributeReference("arr", ArrayType(IntegerType))() + private val rarr = AttributeReference("arr", ArrayType(IntegerType))() + private val leftArr: LogicalPlan = LocalRelation(larr) + private val rightArr: LogicalPlan = LocalRelation(rarr) + + // Positional struct operands (different field names): the distance is flattened per field. + private val lstruct = AttributeReference( + "st", StructType(StructField("f1", IntegerType) :: StructField("f2", IntegerType) :: Nil))() + private val rstruct = AttributeReference( + "st", StructType(StructField("g1", IntegerType) :: StructField("g2", IntegerType) :: Nil))() + private val leftStruct: LogicalPlan = LocalRelation(lstruct) + private val rightStruct: LogicalPlan = LocalRelation(rstruct) + + /** Build an [[AsOfJoin]] from a `MATCH_CONDITION` whose operands are already resolved. */ + private def asOf( + leftExpr: Expression = la, + operator: MatchComparisonOperator = GreaterThanOrEqualOp, + rightExpr: Expression = rb, + condition: Option[Expression] = None, + joinType: JoinType = Inner, + usingColumns: Option[Seq[String]] = None, + l: LogicalPlan = left, + r: LogicalPlan = right): AsOfJoin = + AsOfJoin.fromMatchCondition(l, r, leftExpr, operator, rightExpr, condition, joinType, + usingColumns) + + private def expectError(plan: LogicalPlan, condition: String): Unit = { + val ex = intercept[SparkThrowable](ResolveAsOfJoin.apply(plan)) + assert(ex.getCondition == condition, + s"expected condition '$condition' but got '${ex.getCondition}'") + } + + test("materializes MATCH_CONDITION into asOfCondition and clears the match fields") { + val resolved = ResolveAsOfJoin.apply(asOf()).asInstanceOf[AsOfJoin] + assert(resolved.matchLeftOperand.isEmpty) + assert(resolved.matchOperator.isEmpty) + assert(resolved.matchRightOperand.isEmpty) + assert(resolved.asOfCondition.dataType == BooleanType) + assert(resolved.asOfCondition.resolved) + assert(resolved.resolved) + } + + test("materializes each MATCH_CONDITION comparison operator") { + Seq(GreaterThanOrEqualOp, GreaterThanOp, LessThanOrEqualOp, LessThanOp).foreach { op => + val r = ResolveAsOfJoin.apply(asOf(operator = op)).asInstanceOf[AsOfJoin] + assert(r.matchOperator.isEmpty, s"operator $op should be materialized") + assert(r.asOfCondition.dataType == BooleanType, s"operator $op") + assert(r.resolved, s"operator $op") + } + } + + test("materializes a subtractable leaf operand into a Subtract distance") { + val ge = ResolveAsOfJoin.apply(asOf(operator = GreaterThanOrEqualOp)).asInstanceOf[AsOfJoin] + assert(ge.matchOperator.isEmpty) + assert(ge.orderExpression == Subtract(la, rb)) + // `<` / `<=` flip the operands so the distance stays non-negative on the matching side. + val le = ResolveAsOfJoin.apply(asOf(operator = LessThanOrEqualOp)).asInstanceOf[AsOfJoin] + assert(le.orderExpression == Subtract(rb, la)) + } + + test("materializes a non-subtractable String operand into a signed comparison distance") { + val resolved = ResolveAsOfJoin.apply( + asOf(leftExpr = lstr, rightExpr = rstr, l = leftStr, r = rightStr)).asInstanceOf[AsOfJoin] + assert(resolved.matchOperator.isEmpty) + // Strings cannot be subtracted, so the distance is a -1 / 0 / +1 rank. + val expected = If( + EqualTo(lstr, rstr), + Literal(0), + If(GreaterThan(lstr, rstr), Literal(1), Literal(-1))) + assert(resolved.orderExpression == expected) + } + + test("flips the signed comparison distance for a less-than match operator") { + val resolved = ResolveAsOfJoin.apply( + asOf(leftExpr = lstr, operator = LessThanOrEqualOp, rightExpr = rstr, + l = leftStr, r = rightStr)).asInstanceOf[AsOfJoin] + val expected = If( + EqualTo(lstr, rstr), + Literal(0), + If(GreaterThan(lstr, rstr), Literal(-1), Literal(1))) + assert(resolved.orderExpression == expected) + } + + test("materializes an array operand into an element-wise ZipWith distance") { + val resolved = ResolveAsOfJoin.apply( + asOf(leftExpr = larr, rightExpr = rarr, l = leftArr, r = rightArr)).asInstanceOf[AsOfJoin] + assert(resolved.matchOperator.isEmpty) + val order = resolved.orderExpression + assert(order.isInstanceOf[ZipWith], s"expected ZipWith, got ${order.getClass.getSimpleName}") + val zip = order.asInstanceOf[ZipWith] + assert(zip.left == larr && zip.right == rarr) + // Each element pair reuses the subtractable-leaf distance (Subtract) inside the lambda. + val body = zip.function.asInstanceOf[LambdaFunction].function + assert(body.isInstanceOf[Subtract], s"expected a Subtract element distance, got $body") + } + + test("materializes a positional struct operand into a flattened per-field distance") { + val resolved = ResolveAsOfJoin.apply( + asOf(leftExpr = lstruct, rightExpr = rstruct, l = leftStruct, r = rightStruct)) + .asInstanceOf[AsOfJoin] + assert(resolved.matchOperator.isEmpty) + val order = resolved.orderExpression + assert(order.isInstanceOf[CreateNamedStruct], + s"expected CreateNamedStruct, got ${order.getClass.getSimpleName}") + val fields = order.asInstanceOf[CreateNamedStruct].valExprs + // One Subtract distance per struct field, kept together in a composite struct. + assert(fields.size == 2) + assert(fields.forall(_.isInstanceOf[Subtract]), s"expected per-field Subtracts, got $fields") + } + + test("expands USING into an equi-join predicate wrapped in a Project") { + val result = ResolveAsOfJoin.apply(asOf(usingColumns = Some(Seq("k")))) + val project = result.asInstanceOf[Project] + val join = project.child.asInstanceOf[AsOfJoin] + assert(join.usingColumns.isEmpty, "USING should be consumed") + assert(join.condition.isDefined, "USING should expand into an equi-join condition") + assert(join.matchOperator.isEmpty, "the match condition should still be materialized") + assert(project.getTagValue(Project.hiddenOutputTag).isDefined, + "USING columns should be tagged as hidden output") + } + + test("expands multi-column USING into ANDed equi-join predicates") { + val result = ResolveAsOfJoin.apply( + asOf(leftExpr = lOp, rightExpr = rOp, usingColumns = Some(Seq("k1", "k2")), + l = leftKeys, r = rightKeys)) + val project = result.asInstanceOf[Project] + val join = project.child.asInstanceOf[AsOfJoin] + assert(join.usingColumns.isEmpty) + // USING (k1, k2) expands to k1 = k1 AND k2 = k2: two equi-predicates. + assert(join.condition.get.collect { case e: EqualTo => e }.size == 2, + s"expected two equi-predicates, got ${join.condition}") + assert(project.getTagValue(Project.hiddenOutputTag).isDefined) + } + + test("keeps an explicit ON condition and does not add a USING projection") { + val onCond = LessThanOrEqual(la, rb) + val join = ResolveAsOfJoin.apply(asOf(condition = Some(onCond))).asInstanceOf[AsOfJoin] + assert(join.condition.contains(onCond)) + assert(join.usingColumns.isEmpty) + assert(join.matchOperator.isEmpty) + } + + test("Inner preserves right-side nullability; LEFT OUTER makes the right side nullable") { + val inner = ResolveAsOfJoin.apply(asOf(joinType = Inner)).asInstanceOf[AsOfJoin] + assert(inner.output.map(_.nullable) == Seq(true, true, false, false)) + val leftOuter = ResolveAsOfJoin.apply(asOf(joinType = LeftOuter)).asInstanceOf[AsOfJoin] + assert(leftOuter.output.map(_.nullable) == Seq(true, true, true, true)) + } + + test("rejects a MATCH_CONDITION operand referencing both join sides") { + expectError(asOf(leftExpr = Add(la, rb)), "ASOF_JOIN_MATCH_CONDITION_TABLE_REFERENCE") + } + + test("rejects a non-deterministic MATCH_CONDITION operand") { + expectError(asOf(leftExpr = Rand(Literal(1L))), + "ASOF_JOIN_MATCH_CONDITION_INVALID_EXPRESSION") + } + + test("rejects non-orderable MATCH_CONDITION operand types") { + expectError( + asOf(leftExpr = lmap, rightExpr = rmap, l = leftMap, r = rightMap), + "ASOF_JOIN_MATCH_CONDITION_INVALID_TYPE") + } + + test("AsOfJoin survives the full Analyzer and CheckAnalysis") { + withSQLConf(SQLConf.SQL_ASOF_JOIN_ENABLED.key -> "true") { + // Unresolved operands here: the generic ResolveReferences resolves them, then + // ResolveAsOfJoin materializes the match condition. + val plan = AsOfJoin.fromMatchCondition( + left, right, UnresolvedAttribute("a"), GreaterThanOrEqualOp, + UnresolvedAttribute("b"), None, Inner) + assertAnalysisSuccess(plan) + } + } +} Review Comment: Swapped join-side operands (normalizeMatchOperands / operator.flip) are untested. AsOfJoin.normalizeMatchOperands is the interesting part of this rule: if the syntactic left operand is on the right relation, it swaps the pair and flips the operator. I did not find a SQL test that writes the right-side column first either (q.quote_time <= t.trade_time). This suite always passes la/lstr as leftExpr. That path is easy to miss and easy to break. Something like this belongs here: ``` test("swaps operands that are written on the opposite join side") { val resolved = ResolveAsOfJoin.apply( asOf(leftExpr = rb, operator = LessThanOrEqualOp, rightExpr = la)).asInstanceOf[AsOfJoin] // rb is on the right, la on the left -> swap and flip <= to >= assert(resolved.asOfCondition == GreaterThanOrEqual(la, rb)) assert(resolved.orderExpression == Subtract(la, rb)) } ``` Same-side operands (la >= la) are a different ASOF_JOIN_MATCH_CONDITION_TABLE_REFERENCE throw site (normalizeMatchOperands’s case _, not validateMatchConditionTableReferences). AsOfJoinSQLSuite already covers that at SQL level; a unit case would still be useful but is less important than the flip. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
