cloud-fan commented on a change in pull request #32816:
URL: https://github.com/apache/spark/pull/32816#discussion_r696361665
##########
File path:
sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
##########
@@ -1908,6 +1914,69 @@ class AdaptiveQueryExecSuite
}
}
+ test("SPARK-33832: Support optimize skew join even if introduce extra
shuffle") {
+ withSQLConf(
+ SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
+ SQLConf.ADAPTIVE_OPTIMIZE_SKEWS_IN_REBALANCE_PARTITIONS_ENABLED.key ->
"false",
+ SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1",
+ SQLConf.SKEW_JOIN_SKEWED_PARTITION_THRESHOLD.key -> "100",
+ SQLConf.ADVISORY_PARTITION_SIZE_IN_BYTES.key -> "100",
+ SQLConf.COALESCE_PARTITIONS_MIN_PARTITION_NUM.key -> "1",
+ SQLConf.SHUFFLE_PARTITIONS.key -> "10",
+ SQLConf.ADAPTIVE_FORCE_OPTIMIZE_SKEWED_JOIN.key -> "true") {
+ withTempView("skewData1", "skewData2") {
+ spark
+ .range(0, 1000, 1, 10)
+ .selectExpr("id % 3 as key1", "id as value1")
+ .createOrReplaceTempView("skewData1")
+ spark
+ .range(0, 1000, 1, 10)
+ .selectExpr("id % 1 as key2", "id as value2")
+ .createOrReplaceTempView("skewData2")
+
+ // check if optimized skewed join does not satisfy the required
distribution
+ Seq(true, false).foreach { hasRequiredDistribution =>
+ Seq(true, false).foreach { hasPartitionNumber =>
+ val repartition = if (hasRequiredDistribution) {
+ s"/*+ repartition(${ if (hasPartitionNumber) "10," else ""}key1)
*/"
+ } else {
+ ""
+ }
+
+ // check required distribution and extra shuffle
+ val (_, adaptive1) =
+ runAdaptiveAndVerifyResult(s"SELECT $repartition key1 FROM
skewData1 " +
+ s"JOIN skewData2 ON key1 = key2 GROUP BY key1")
+ val shuffles1 = findTopLevelShuffle(adaptive1)
+ assert(shuffles1.size == 3)
+ assert(shuffles1.head.shuffleOrigin == ENSURE_REQUIREMENTS)
+ val smj1 = findTopLevelSortMergeJoin(adaptive1)
+ assert(smj1.size == 1 && smj1.exists(_.isSkewJoin))
Review comment:
`smj1.exists(_.isSkewJoin)` -> `smj1.head.isSkewJoin`
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