yym1995 commented on a change in pull request #35038:
URL: https://github.com/apache/spark/pull/35038#discussion_r777804429
##########
File path:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcQuerySuite.scala
##########
@@ -713,6 +715,27 @@ abstract class OrcQuerySuite extends OrcQueryTest with
SharedSparkSession {
}
}
}
+
+ test("SPARK-37728: Reading nested columns with ORC vectorized reader should
not " +
+ "cause ArrayIndexOutOfBoundsException") {
+ withTempPath { dir =>
+ val path = dir.getCanonicalPath
+ val df = spark.range(100).map { _ =>
+ val arrayColumn = (0 until 50).map(_ => (0 until 1000).map(k =>
k.toString))
+ arrayColumn
+ }.toDF("record").repartition(1)
+ df.write.format("orc").save(path)
+
+ withSQLConf(SQLConf.ORC_VECTORIZED_READER_NESTED_COLUMN_ENABLED.key ->
"true") {
+ val readDf = spark.read.orc(path)
+ val vectorizationEnabled = readDf.queryExecution.executedPlan.find {
+ case scan @ (_: FileSourceScanExec | _: BatchScanExec) =>
scan.supportsColumnar
+ case _ => false
+ }.isDefined
Review comment:
Because when testing with OrcV2QuerySuite, method supportColumnarReads in
https://github.com/apache/spark/blob/branch-3.2/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/orc/OrcPartitionReaderFactory.scala
will be called. `resultSchema.forall(_.dataType.isInstanceOf[AtomicType])` is
false in that case. Therefore, I removed `assert(vectorizationEnabled)`.
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