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[SPARK-52246][SQL][TESTS] Add bucket transform regression test for one-side shuffle with join key tail of partition keys #57442

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[SPARK-52246][SQL][TESTS] Add bucket transform regression test for one-side shuffle with join key tail of partition keys #57442

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[SPARK-52246][SQL][TESTS] Add bucket transform regression test for on…
naveenp2708 Jul 21, 2026
4a3e8fc
Keep only V2_BUCKETING_SHUFFLE_ENABLED, matching the SPARK-54439 tests
naveenp2708 Jul 24, 2026
91d8ab1
Retrigger CI
naveenp2708 Jul 25, 2026
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26 changes: 26 additions & 0 deletions sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -2724,6 +2724,32 @@ class KeyGroupedPartitioningSuite extends DistributionAndOrderingSuiteBase with
}
}

test("SPARK-52246: one-side shuffle with join key tail part of the partition keys") {
val items_partitions = Array(bucket(2, "id"))
createTable(items, itemsColumns, items_partitions)

sql(s"INSERT INTO testcat.ns.$items VALUES " +
"(1, 'aa', 40.0, cast('2020-01-01' as timestamp)), " +
"(1, 'aa', 30.0, cast('2020-01-02' as timestamp)), " +
"(3, 'bb', 10.0, cast('2020-01-01' as timestamp)), " +
"(4, 'cc', 15.5, cast('2020-02-01' as timestamp))")

createTable(purchases, purchasesColumns, Array.empty)
sql(s"INSERT INTO testcat.ns.$purchases VALUES " +
"(1, 42.0, cast('2020-01-01' as timestamp)), " +
"(1, 89.0, cast('2020-01-03' as timestamp)), " +
"(3, 19.5, cast('2020-02-01' as timestamp)), " +
"(5, 26.0, cast('2023-01-01' as timestamp)), " +
"(6, 50.0, cast('2023-02-01' as timestamp))")

withSQLConf(SQLConf.V2_BUCKETING_SHUFFLE_ENABLED.key -> "true") {
val df = createJoinTestDF(Seq("arrive_time" -> "time", "id" -> "item_id"))
val shuffles = collectShuffles(df.queryExecution.executedPlan)
assert(shuffles.size == 1, "SPJ should be triggered")
checkAnswer(df, Seq(Row(1, "aa", 40.0, 42.0)))
}
}

test("SPARK-48949: test partition filters inner join") {
val items_partitions = Array(bucket(8, "id"), days("arrive_time"))
createTable(items, itemsColumns, items_partitions)
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