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Original file line number Diff line number Diff line change
Expand Up @@ -64,7 +64,7 @@ private[hive] case class HiveScriptTransformationExec(
outputSoi: StructObjectInspector,
hadoopConf: Configuration): Iterator[InternalRow] = {
new Iterator[InternalRow] with HiveInspectors {
var curLine: String = null

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Although this is irrelevant to this correctness issue, the clean-up looks okay.

var completed = false

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nit: private

val scriptOutputStream = new DataInputStream(inputStream)

val scriptOutputReader =
Expand All @@ -78,13 +78,17 @@ private[hive] case class HiveScriptTransformationExec(
lazy val unwrappers = outputSoi.getAllStructFieldRefs.asScala.map(unwrapperFor)

override def hasNext: Boolean = {
if (completed) {
return false
}
try {
if (scriptOutputWritable == null) {
scriptOutputWritable = reusedWritableObject

if (scriptOutputReader != null) {
if (scriptOutputReader.next(scriptOutputWritable) <= 0) {
checkFailureAndPropagate(writerThread, null, proc, stderrBuffer)
completed = true

@bersprockets bersprockets Jan 30, 2022

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Alternatively, I could just set scriptOutputWritable to null here, and I wouldn't need the if statement at the top. That seemed to work. However, it feels a little unhygienic to read from an inputStream that has already returned EOF, so I added the completed flag instead.

return false
}
} else {
Expand All @@ -97,6 +101,7 @@ private[hive] case class HiveScriptTransformationExec(
// there can be a lag between EOF being written out and the process
// being terminated. So explicitly waiting for the process to be done.
checkFailureAndPropagate(writerThread, null, proc, stderrBuffer)
completed = true
return false
}
}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -621,4 +621,21 @@ class HiveScriptTransformationSuite extends BaseScriptTransformationSuite with T
assert(e.contains("java.lang.ArithmeticException: long overflow"))
}
}

test("SPARK-38075: ORDER BY with LIMIT should not add fake rows") {
withTempView("v") {
val df = Seq((1), (2), (3)).toDF("a")
df.createTempView("v")
checkAnswer(sql(
"""
|SELECT TRANSFORM(a)
| USING 'cat' AS (a)
|FROM v
|ORDER BY a
|LIMIT 10
|""".stripMargin),
identity,
Row("1") :: Row("2") :: Row("3") :: Nil)
}
}
}