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Posted to reviews@spark.apache.org by "wForget (via GitHub)" <gi...@apache.org> on 2023/07/24 01:33:02 UTC

[GitHub] [spark] wForget commented on a diff in pull request #41609: [SPARK-44065][SQL] Optimize BroadcastHashJoin skew in OptimizeSkewedJoin

wForget commented on code in PR #41609:
URL: https://github.com/apache/spark/pull/41609#discussion_r1271629202


##########
sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala:
##########
@@ -2851,6 +2851,68 @@ class AdaptiveQueryExecSuite
     val unionDF = aggDf1.union(aggDf2)
     checkAnswer(unionDF.select("id").distinct, Seq(Row(null)))
   }
+
+  test("SPARK-44065: Optimize BroadcastHashJoin skew when localShuffleReader is disabled") {
+    withSQLConf(
+      SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
+      SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1",
+      SQLConf.ADAPTIVE_AUTO_BROADCASTJOIN_THRESHOLD.key -> "1000",
+      SQLConf.LOCAL_SHUFFLE_READER_ENABLED.key -> "false",
+      SQLConf.SHUFFLE_PARTITIONS.key -> "10",
+      SQLConf.SKEW_JOIN_SKEWED_PARTITION_THRESHOLD.key -> "600",
+      SQLConf.ADVISORY_PARTITION_SIZE_IN_BYTES.key -> "600") {
+      withTempView("skewData", "smallData") {
+        spark
+          .range(0, 1000, 1, 10)
+          .selectExpr("if(id >= 5, 5, id) as key1", "id as value1")
+          .createOrReplaceTempView("skewData1")
+        spark
+          .range(0, 5, 1, 10)
+          .selectExpr("id key2", "id as value2")
+          .createOrReplaceTempView("smallData")
+
+        Seq(true, false).foreach { localShuffleReader =>
+          withSQLConf(SQLConf.LOCAL_SHUFFLE_READER_ENABLED.key -> localShuffleReader.toString) {
+            val sqlText =
+              s"""
+                 |select * from skewData1 a join smallData b on a.key1 = b.key2
+                 |""".stripMargin
+            val (_, plan) = runAdaptiveAndVerifyResult(sqlText)
+            val bhjs = findTopLevelBroadcastHashJoin(plan)
+            assert(bhjs.nonEmpty)
+
+            if (localShuffleReader) {
+              val localShuffleReaders = collect(plan) {
+                case c: AQEShuffleReadExec if c.isLocalRead => c

Review Comment:
   > it seems not addressed, can you take a look ? @wForget
   
   Sorry, I'm still confused about this so belatedly did it. Do we still need to follow advisoryParallelism if we consider block size?



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