tdas commented on a change in pull request #27333: [SPARK-29438][SS][FOLLOWUP] 
Add regression tests for Streaming Aggregation and flatMapGroupsWithState
URL: https://github.com/apache/spark/pull/27333#discussion_r373322304
 
 

 ##########
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateSuite.scala
 ##########
 @@ -1019,6 +1019,76 @@ 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") {
+    // Function to maintain running count up to 2, and then remove the count
+    // Returns the data and the count (-1 if count reached beyond 2 and state 
was just removed)
+    val stateFunc = (key: String, values: Iterator[String], state: 
GroupState[RunningCount]) => {
+      assertCanGetProcessingTime { state.getCurrentProcessingTimeMs() >= 0 }
+      assertCannotGetWatermark { state.getCurrentWatermarkMs() }
+
+      val count = state.getOption.map(_.count).getOrElse(0L) + values.size
+      if (count == 3) {
+        state.remove()
+        (key, "-1")
+      } else {
+        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, Seq("a")),
+          (input2, Seq("a"))),
+        CheckNewAnswer(("a", "a"), ("a", "1")),
+        assertNumStateRows(total = 1, updated = 1),
+        MultiAddData(input1, "b")(input2, "a", "b"),
 
 Review comment:
   Again I would simplify this test further by having just one batch before and 
after partition count change. we dont need to validate the whether the state 
function is being called correctly.

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