Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/9831#discussion_r45394497
--- Diff:
streaming/src/test/scala/org/apache/spark/streaming/rdd/TrackStateRDDSuite.scala
---
@@ -278,6 +287,50 @@ class TrackStateRDDSuite extends SparkFunSuite with
BeforeAndAfterAll {
rdd7, Seq(("k3", 2)), Set())
}
+ test("checkpointing") {
+ /*
+ This tests whether the TrackStateRDD correctly truncates any
references to its parent RDDs -
+ the data RDD and the parent TrackStateRDD.
+ */
+ def rddCollectFunc(rdd: RDD[TrackStateRDDRecord[Int, Int, Int]]) = {
+ rdd.map { record => (record.stateMap.getAll().toList,
record.emittedRecords.toList) }
+ .collect.toSet
+ }
+
+ /** Generate TrackStateRDD with data RDD having a long lineage */
+ def makeStateRDDWithLongLineageDataRDD(longLineageRDD: RDD[Int])
+ : TrackStateRDD[Int, Int, Int, Int] = {
+ TrackStateRDD.createFromPairRDD(longLineageRDD.map { _ -> 1},
partitioner, Time(0))
+ }
+
+ testRDD(
+ makeStateRDDWithLongLineageDataRDD, reliableCheckpoint = true,
rddCollectFunc _)
+ testRDDPartitions(
+ makeStateRDDWithLongLineageDataRDD, reliableCheckpoint = true,
rddCollectFunc _)
+
+ /** Generate TrackStateRDD with parent state RDD having a long lineage
*/
+ def makeStateRDDWithLongLineageParenttateRDD(
+ longLineageRDD: RDD[Int]): TrackStateRDD[Int, Int, Int, Int] = {
+
+ // Create a TrackStateRDD that has a long lineage using the data RDD
with a long lineage
+ val stateRDDWithLongLineage =
makeStateRDDWithLongLineageDataRDD(longLineageRDD)
+
+ // Create a new TrackStateRDD, with the lineage lineage
TrackStateRDD as the parent
+ new TrackStateRDD[Int, Int, Int, Int](
+ stateRDDWithLongLineage,
+ stateRDDWithLongLineage.sparkContext.emptyRDD[(Int,
Int)].partitionBy(partitioner),
--- End diff --
It's better to test with a long lineage `partitionedDataRDD`.
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