Github user chenghao-intel commented on a diff in the pull request:
https://github.com/apache/spark/pull/7990#discussion_r36493288
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/RowFormatConvertersSuite.scala
---
@@ -87,4 +91,36 @@ class RowFormatConvertersSuite extends SparkPlanTest {
input.map(Row.fromTuple)
)
}
+
+ test("SPARK-9683: we should deep copy UTF8String when convert unsafe row
to safe row") {
+ SparkPlan.currentContext.set(TestSQLContext)
+ val schema = ArrayType(StringType)
+ val rows = (1 to 100).map { i =>
+ InternalRow(new
GenericArrayData(Array[Any](UTF8String.fromString(i.toString))))
+ }
+ val relation = LocalTableScan(Seq(AttributeReference("t", schema)()),
rows)
+
+ val plan =
+ DummyPlan(
+ ConvertToSafe(
+ ConvertToUnsafe(relation)))
+ assert(plan.execute().collect().map(_.getUTF8String(0).toString) ===
(1 to 100).map(_.toString))
+ }
+}
+
+case class DummyPlan(child: SparkPlan) extends UnaryNode {
+
+ override protected def doExecute(): RDD[InternalRow] = {
+ child.execute().mapPartitions { iter =>
+ // cache all strings to make sure we have deep copied UTF8String
inside incoming
+ // safe InternalRow.
+ val strings = new scala.collection.mutable.ArrayBuffer[UTF8String]
+ iter.foreach { row =>
+ strings += row.getArray(0).getUTF8String(0)
--- End diff --
I am wondering if this is the real case. As join / aggregation operations
will call row.copy() if necessary.
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