viirya commented on a change in pull request #27333:
URL: https://github.com/apache/spark/pull/27333#discussion_r511492575
##########
File path:
sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateSuite.scala
##########
@@ -1019,6 +1019,56 @@ class FlatMapGroupsWithStateSuite extends
StateStoreMetricsTest {
spark.createDataset(Seq(("a", 2), ("b", 1))).toDF)
}
+ testWithAllStateVersions("SPARK-29438: ensure UNION doesn't lead
(flat)MapGroupsWithState" +
+ " to use shifted partition IDs") {
+ val stateFunc = (key: String, values: Iterator[String], state:
GroupState[RunningCount]) => {
+ val count = state.getOption.map(_.count).getOrElse(0L) + values.size
+ state.update(RunningCount(count))
+ (key, count.toString)
+ }
+
+ def constructUnionDf(desiredPartitionsForInput1: Int)
+ : (MemoryStream[String], MemoryStream[String], DataFrame) = {
+ val input1 = MemoryStream[String](desiredPartitionsForInput1)
+ val input2 = MemoryStream[String]
+ val df1 = input1.toDF()
+ .select($"value", $"value")
+ val df2 = input2.toDS()
+ .groupByKey(x => x)
+ .mapGroupsWithState(stateFunc) // Types = State: MyState, Out: (Str,
Str)
+ .toDF()
+
+ // Unioned DF would have columns as (String, String)
+ (input1, input2, df1.union(df2))
+ }
+
+ withTempDir { checkpointDir =>
+ val (input1, input2, unionDf) = constructUnionDf(2)
+ testStream(unionDf, Update)(
+ StartStream(checkpointLocation = checkpointDir.getAbsolutePath),
+ MultiAddData(input1, "input1-a")(input2, "input2-a"),
+ CheckNewAnswer(("input1-a", "input1-a"), ("input2-a", "1")),
+ StopStream
+ )
+
+ // We're restoring the query with different number of partitions in left
side of UNION,
+ // which may lead right side of union to have mismatched partition IDs
(e.g. if it relies on
+ // TaskContext.partitionId()). This test will verify
(flat)MapGroupsWithState doesn't have
+ // such issue.
+
+ val (newInput1, newInput2, newUnionDf) = constructUnionDf(3)
+
+ newInput1.addData("input1-a")
+ newInput2.addData("input2-a")
Review comment:
Oh I got it. We reuse the same checkpoint directory and so we need to
fill same batches of previous stream query. Actually we even don't need to put
the same data.
Then the new query begins from the new added data, and read the same state
store.
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