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The following commit(s) were added to refs/heads/branch-4.x by this push:
new 7b61e05095b6 [SPARK-59890][SQL][TEST] Replace ResolveAsOfJoinSuite
with end-to-end ASOF JOIN tests
7b61e05095b6 is described below
commit 7b61e05095b6974c1f0c33490b11a0fd938e3418
Author: Luka Zdravić <[email protected]>
AuthorDate: Thu Oct 1 08:48:05 2026 +0000
[SPARK-59890][SQL][TEST] Replace ResolveAsOfJoinSuite with end-to-end ASOF
JOIN tests
### What changes were proposed in this pull request?
Remove `ResolveAsOfJoinSuite`. It unit-tests only the fixed-point analyzer
rule `ResolveAsOfJoin`: it builds plans by hand and checks internal expression
shapes, for example that the `MATCH_CONDITION` distance is a `Subtract` or a
`ZipWith`.
Add one end-to-end test to `AsOfJoinSQLSuite` for the only behavior no
other test checked: `INNER ASOF JOIN` keeps a NOT NULL right column NOT NULL,
and `LEFT ASOF JOIN` makes it nullable.
### Why are the changes needed?
The suite does not test the single-pass resolver (`AsOfJoinResolver`),
which calls the same `MATCH_CONDITION` code. It also pins internal shapes, so
an internal change must edit it even when no query result changes. SPARK-59749
had to.
End-to-end tests already cover the other 19 of its 20 cases: the operators
and the match per operand type (`join-asof-grammar.sql`,
`join-asof-datatypes.sql`, `AsOfJoinSortMergeSQLSuite`), `USING` and `ON`
(`join-asof-grammar.sql`, `join-asof-semantics.sql`), and the rejected operands
(`join-asof-errors.sql`, `AsOfJoinSQLSuite`). In tests, these queries run both
analyzers where the single-pass resolver supports them, and fail if the plans
differ (`spark.sql.analyzer.singlePassResolver [...]
### Does this PR introduce _any_ user-facing change?
No. Test-only change.
### How was this patch tested?
Ran the ASOF JOIN suites (`AsOfJoinSQLSuite`, `AsOfJoinSortMergeSQLSuite`,
`AsOfJoinMatchConditionTypesSuite`, `RewriteAsOfJoinSuite`,
`SortMergeAsOfJoinSuite`, `DataFrameAsOfJoinSuite`, `StreamingAsOfJoinSuite`)
and `SQLQueryTestSuite`, which includes the `join-asof-*.sql` golden files.
### Was this patch authored or co-authored using generative AI tooling?
Generated-by: Claude Code
This pull request and its description were written by Isaac.
Closes #59158 from LukaZdravic/asof-remove-resolve-suite.
Authored-by: Luka Zdravić <[email protected]>
Signed-off-by: Uros Bojanic <[email protected]>
(cherry picked from commit f74ba349cb17ea88010bb70ef0f69c6fb3fea07d)
Signed-off-by: Uros Bojanic <[email protected]>
---
.../catalyst/analysis/ResolveAsOfJoinSuite.scala | 332 ---------------------
.../org/apache/spark/sql/AsOfJoinSQLSuite.scala | 12 +
2 files changed, 12 insertions(+), 332 deletions(-)
diff --git
a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveAsOfJoinSuite.scala
b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveAsOfJoinSuite.scala
deleted file mode 100644
index 04d572e695dc..000000000000
---
a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/ResolveAsOfJoinSuite.scala
+++ /dev/null
@@ -1,332 +0,0 @@
-/*
- * 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, GreaterThanOrEqual, If,
LambdaFunction, LessThan, 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.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)
-
- // Incompatible but orderable operands (timestamp vs boolean) for the
areOperandsCompatible arm.
- private val lts = AttributeReference("t", TimestampType)()
- private val rbool = AttributeReference("bl", BooleanType, nullable = false)()
- private val leftTs: LogicalPlan = LocalRelation(lts)
- private val rightBool: LogicalPlan = LocalRelation(rbool)
-
- // 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)
-
- // Arrays of empty structs: each element has no fields, so it is compared as
one value.
- private val lemptyArr = AttributeReference("ea",
ArrayType(StructType(Nil)))()
- private val remptyArr = AttributeReference("ea",
ArrayType(StructType(Nil)))()
- private val leftEmptyArr: LogicalPlan = LocalRelation(lemptyArr)
- private val rightEmptyArr: LogicalPlan = LocalRelation(remptyArr)
-
- // Arrays of structs whose fields differ in type, so their per-field
distances differ in type.
- private val mixedElement =
- StructType(StructField("f", IntegerType) :: StructField("ts",
TimestampType) :: Nil)
- private val lmixedArr = AttributeReference("ma", ArrayType(mixedElement))()
- private val rmixedArr = AttributeReference("ma", ArrayType(mixedElement))()
- private val leftMixedArr: LogicalPlan = LocalRelation(lmixedArr)
- private val rightMixedArr: LogicalPlan = LocalRelation(rmixedArr)
-
- /** 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 the executable fields 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)
- // `resolved` ignores the sort lists (empty passes), so pin them and the
SQL factory's flag:
- // the sort-merge operator needs these sort exprs, and a dropped flag
would reroute SQL ASOF.
- assert(resolved.leftSortExprs == Seq(la))
- assert(resolved.rightSortExprs == Seq(rb))
- assert(resolved.requiresSortMergeAsOfJoin)
- assert(resolved.resolved)
- }
-
- test("materializes each MATCH_CONDITION comparison operator into its exact
comparison") {
- // The operator is the only thing that distinguishes the four cases, so
pin the comparison
- // node itself: a regression that always emits `>=` would pass a
Boolean-type check.
- Seq(
- GreaterThanOrEqualOp -> GreaterThanOrEqual(la, rb),
- GreaterThanOp -> GreaterThan(la, rb),
- LessThanOrEqualOp -> LessThanOrEqual(la, rb),
- LessThanOp -> LessThan(la, rb)).foreach { case (op, expected) =>
- val r = ResolveAsOfJoin.apply(asOf(operator = op)).asInstanceOf[AsOfJoin]
- assert(r.matchOperator.isEmpty, s"operator $op should be materialized")
- assert(r.asOfCondition == expected, 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("swaps operands written on the opposite join side and flips the
operator") {
- // Writing the right column first (rb <= la) must normalize to the same
plan as la >= rb:
- // normalizeMatchOperands swaps the pair and flips `<=` into `>=`. Every
other test writes
- // the left operand first, so this is the only case that exercises that
branch.
- val resolved = ResolveAsOfJoin.apply(
- asOf(leftExpr = rb, operator = LessThanOrEqualOp, rightExpr =
la)).asInstanceOf[AsOfJoin]
- assert(resolved.matchOperator.isEmpty)
- assert(resolved.asOfCondition == GreaterThanOrEqual(la, rb))
- assert(resolved.orderExpression == Subtract(la, rb))
- }
-
- 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 an array of empty structs into a whole-element signed
distance") {
- val resolved = ResolveAsOfJoin.apply(
- asOf(leftExpr = lemptyArr, rightExpr = remptyArr, l = leftEmptyArr, r =
rightEmptyArr))
- .asInstanceOf[AsOfJoin]
- val zip = resolved.orderExpression.asInstanceOf[ZipWith]
- // An empty struct has no fields to split, so each element gets one
whole-value distance.
- val body = zip.function.asInstanceOf[LambdaFunction].function
- assert(body.isInstanceOf[If], s"expected a signed element distance, got
$body")
- assert(body.dataType == IntegerType)
- }
-
- test("materializes an ARRAY<STRUCT> with mixed field types into a struct
element distance") {
- val resolved = ResolveAsOfJoin.apply(
- asOf(leftExpr = lmixedArr, rightExpr = rmixedArr, l = leftMixedArr, r =
rightMixedArr))
- .asInstanceOf[AsOfJoin]
- val zip = resolved.orderExpression.asInstanceOf[ZipWith]
- // The INT and TIMESTAMP field distances differ in type, so one array
could not hold both.
- val body = zip.function.asInstanceOf[LambdaFunction].function
- assert(body.isInstanceOf[CreateNamedStruct], s"expected a struct element
distance, got $body")
- val fields = body.asInstanceOf[CreateNamedStruct].valExprs
- assert(fields.size == 2)
- assert(fields.forall(_.isInstanceOf[Subtract]), s"expected per-field
Subtracts, got $fields")
- }
-
- 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")
- // Field names differ, so each side is decomposed into a positional struct
for the compare,
- // not the raw struct. A regression that ordered fields right but compared
raw structs would
- // slip past the orderExpression checks above, so pin the comparison
operands too.
- val ge = resolved.asOfCondition.asInstanceOf[GreaterThanOrEqual]
- assert(ge.left.isInstanceOf[CreateNamedStruct] &&
ge.right.isInstanceOf[CreateNamedStruct],
- s"expected decomposed struct operands, got ${ge.left} >= ${ge.right}")
- assert(ge.left != lstruct && ge.right != rstruct)
- }
-
- 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.contains(EqualTo(lk, rk)),
- s"USING (k) should expand into lk = rk, got ${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) pairs each side's column by name: k1 = k1 AND k2 = k2.
- val equiPredicates = join.condition.get.collect { case e: EqualTo => e }
- assert(equiPredicates == Seq(EqualTo(lKey1, rKey1), EqualTo(lKey2, rKey2)),
- s"expected lKey1 = rKey1 and lKey2 = rKey2, got $equiPredicates")
- 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") {
- // Nullability comes from AsOfJoin.computeOutput, not the rule, so also
assert the match
- // fields were cleared: that ties these checks to ResolveAsOfJoin having
actually run.
- val inner = ResolveAsOfJoin.apply(asOf(joinType =
Inner)).asInstanceOf[AsOfJoin]
- assert(inner.matchOperator.isEmpty)
- assert(inner.output.map(_.nullable) == Seq(true, true, false, false))
- val leftOuter = ResolveAsOfJoin.apply(asOf(joinType =
LeftOuter)).asInstanceOf[AsOfJoin]
- assert(leftOuter.matchOperator.isEmpty)
- 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 MATCH_CONDITION with both operands on the same join side") {
- // A distinct throw site from the case above: normalizeMatchOperands
rejects operands that
- // do not straddle the two relations, rather than
validateMatchConditionTableReferences.
- expectError(asOf(leftExpr = la, rightExpr = la),
"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("rejects incompatible MATCH_CONDITION operand types that are each
orderable") {
- // timestamp and boolean are each orderable, so this hits
areOperandsCompatible, not the
- // isValidOperandType arm the MAP case above exercises.
- expectError(
- asOf(leftExpr = lts, rightExpr = rbool, l = leftTs, r = rightBool),
- "ASOF_JOIN_MATCH_CONDITION_INVALID_TYPE")
- }
-
- test("AsOfJoin survives the full Analyzer and CheckAnalysis") {
- // No withSQLConf needed: SQL_ASOF_JOIN_ENABLED is read only in the
parser, and this builds
- // the node directly. ResolveAsOfJoin is always in the analyzer batch.
- // 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)
- }
-}
diff --git
a/sql/core/src/test/scala/org/apache/spark/sql/AsOfJoinSQLSuite.scala
b/sql/core/src/test/scala/org/apache/spark/sql/AsOfJoinSQLSuite.scala
index f9cdcbeeea5d..e83145fc2d84 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/AsOfJoinSQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/AsOfJoinSQLSuite.scala
@@ -105,6 +105,18 @@ class AsOfJoinSQLSuite extends QueryTest with
SharedSparkSession {
assert(asOfJoin.matchLeftOperand.isEmpty)
}
+ test("INNER ASOF JOIN keeps NOT NULL right columns; LEFT ASOF JOIN makes
them nullable") {
+ def rightValueNullable(joinType: String): Boolean =
+ sql(
+ s"""
+ |SELECT l.k, r.v
+ |FROM VALUES (2) AS l(k) $joinType ASOF JOIN VALUES (1, 'a') AS
r(k, v)
+ | MATCH_CONDITION (l.k >= r.k)
+ |""".stripMargin).schema("v").nullable
+ assert(!rightValueNullable(""))
+ assert(rightValueNullable("LEFT"))
+ }
+
test("SQL ASOF JOIN uses sort-merge without DataFrame sort-merge conf") {
setupTradeQuoteViews()
val sqlText =
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