sunchao commented on code in PR #59146:
URL: https://github.com/apache/spark/pull/59146#discussion_r4170496866
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sql/core/src/test/scala/org/apache/spark/sql/execution/SparkPlanSuite.scala:
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@@ -40,6 +44,64 @@ import org.apache.spark.util.ThreadUtils
class SparkPlanSuite extends SharedSparkSession {
+ test("SPARK-59884: columnar execution cache is not serialized with a plan") {
+ val source = ColumnarCacheSerializationSource(Seq(AttributeReference("id",
IntegerType)()))
+ val rdd = source.executeColumnar()
+ assert(source.executeColumnar() eq rdd)
+ val serializer = SparkEnv.get.closureSerializer.newInstance()
+ // Plans can be captured by task closures, but their execution caches
belong to the driver.
+
serializer.deserialize[ColumnarToRowExec](serializer.serialize(ColumnarToRowExec(source)))
+ }
+
+ test("SPARK-59884: columnar execution cache does not cross a shuffle in the
task binary") {
+ withSQLConf(
+ SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "false",
+ SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "true",
+ SQLConf.CACHE_VECTORIZED_READER_ENABLED.key -> "true",
+ SQLConf.SHUFFLE_PARTITIONS.key -> "2") {
+ val cached = spark.range(0, 8, 1, 2).selectExpr("id % 2 AS key").cache()
+ try {
+ cached.count()
+ val query = cached.groupBy("key").count()
+ checkAnswer(query, Seq(Row(0L, 4L), Row(1L, 4L)))
+
+ val plan = query.queryExecution.executedPlan
+ val exchanges = plan.collect { case exchange: ShuffleExchangeExec =>
exchange }
+ assert(exchanges.size == 1)
+ val scan = exchanges.head.child.collectFirst {
+ case scan: InMemoryTableScanExec => scan
+ }.get
+ assert(scan.supportsColumnar)
+ val columnarRDD = scan.executeColumnar()
+ val stageRDD = plan.execute()
+
+ var serializedStageRDD = false
+ var serializedColumnarRDD = false
+ val out = new ObjectOutputStream(new ByteArrayOutputStream()) {
Review Comment:
Switched to `ObjectOutputStream(OutputStream.nullOutputStream())` and
updated the imports in e3b6ec55d570bf2c7d2d79061c414796d4f2ae7a. The test only
observes the objects visited during serialization.
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