anishshri-db commented on code in PR #48686:
URL: https://github.com/apache/spark/pull/48686#discussion_r1821575982
##########
sql/core/src/test/scala/org/apache/spark/sql/streaming/TransformWithStateInitialStateSuite.scala:
##########
@@ -497,4 +583,126 @@ class TransformWithStateInitialStateSuite extends
StateStoreMetricsTest
)
}
}
+
+ testInitialStateWithStateDataSource(true) { (valDf, listDf, mapDf,
inputData) =>
+ val valueDf = valDf.selectExpr("key.value AS groupingKey", "value.value AS
value")
+ val flattenListDf = listDf
+ .selectExpr("key.value AS groupingKey", "list_element.value AS
listValue")
+ val flattenMapDf = mapDf
+ .selectExpr(
+ "key.value AS groupingKey",
+ "user_map_key.value AS userMapKey",
+ "user_map_value.value AS userMapValue")
+ val df_joined =
+ valueDf.unionByName(flattenListDf, true)
+ .unionByName(flattenMapDf, true)
+ val kvDataSet = inputData.toDS().groupByKey(x => x.key)
+ val initDf = df_joined.as[UnionInitialStateRow].groupByKey(x =>
x.groupingKey)
+ kvDataSet.transformWithState(
+ new InitialStatefulProcessorWithStateDataSource(),
+ TimeMode.None(), OutputMode.Append(), initDf).toDF()
+ }
+
+ testInitialStateWithStateDataSource(false) { (valDf, listDf, mapDf,
inputData) =>
+ val valueDf = valDf.selectExpr("key.value AS groupingKey", "value.value AS
value")
+ val unflattenListDf = listDf
+ .selectExpr("key.value AS groupingKey",
+ "list_value.value as listValue")
+ val unflattenMapDf = mapDf
+ .selectExpr(
+ "key.value AS groupingKey",
+ "map_from_entries(transform(map_entries(map_value), x -> " +
+ "struct(x.key.value, x.value.value))) as mapValue")
+ val df_joined =
+ valueDf.unionByName(unflattenListDf, true)
+ .unionByName(unflattenMapDf, true)
+ val kvDataSet = inputData.toDS().groupByKey(x => x.key)
+ val initDf = df_joined.as[UnionUnflattenInitialStateRow].groupByKey(x =>
x.groupingKey)
+ kvDataSet.transformWithState(
+ new InitialStatefulProcessorWithUnflattenStateDataSource(),
+ TimeMode.None(), OutputMode.Append(), initDf).toDF()
+ }
+
+ private def testInitialStateWithStateDataSource(
+ flattenOption: Boolean)
+ (startQuery: (DataFrame, DataFrame, DataFrame,
+ MemoryStream[InitInputRow]) => DataFrame): Unit = {
+ Seq(
+ (TransformWithStateSuiteUtils.NUM_SHUFFLE_PARTITIONS.toString, "1"),
+ (TransformWithStateSuiteUtils.NUM_SHUFFLE_PARTITIONS.toString,
+ TransformWithStateSuiteUtils.NUM_SHUFFLE_PARTITIONS.toString)
+ ).foreach { partitions =>
+ val samePartition = if (partitions._1 == partitions._2) "" else "not "
+ test("transformWithStateWithInitialState - state data source reader
dataframe " +
+ s"as initial state with flatten option set to $flattenOption, initial
state rows are " +
+ s"${samePartition}coming from the same shuffle partition number with
current query") {
+ withSQLConf(SQLConf.STATE_STORE_PROVIDER_CLASS.key ->
+ classOf[RocksDBStateStoreProvider].getName) {
+ withTempDir { checkpointDir =>
+ SQLConf.get.setConfString(SQLConf.SHUFFLE_PARTITIONS.key,
partitions._1)
+ val inputData = MemoryStream[String]
+ val result = inputData.toDS()
+ .groupByKey(x => x)
+ .transformWithState(new StatefulProcessorWithAllStateVars(),
+ TimeMode.None(),
+ OutputMode.Update())
+
+ testStream(result, OutputMode.Update())(
+ StartStream(checkpointLocation = checkpointDir.getCanonicalPath),
+ AddData(inputData, "a", "b"),
+ CheckNewAnswer(("a", "1"), ("b", "1")),
+ AddData(inputData, "a", "b", "a"),
+ CheckNewAnswer(("a", "3"), ("b", "2"))
+ )
+
+ // state data source reader for state vars
+ val valueDf = spark.read
+ .format("statestore")
+ .option(StateSourceOptions.PATH, checkpointDir.getAbsolutePath)
+ .option(StateSourceOptions.STATE_VAR_NAME, "countState")
+ .load()
+
+ val listDf = spark.read
+ .format("statestore")
+ .option(StateSourceOptions.PATH, checkpointDir.getAbsolutePath)
+ .option(StateSourceOptions.STATE_VAR_NAME, "listState")
+ .option(StateSourceOptions.FLATTEN_COLLECTION_TYPES,
flattenOption)
+ .load()
+
+ val mapDf = spark.read
+ .format("statestore")
+ .option(StateSourceOptions.PATH, checkpointDir.getAbsolutePath)
+ .option(StateSourceOptions.STATE_VAR_NAME, "mapState")
+ .option(StateSourceOptions.FLATTEN_COLLECTION_TYPES,
flattenOption)
+ .load()
+
+
Review Comment:
nit: extra newline ?
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
