Github user kunalkhamar commented on a diff in the pull request: https://github.com/apache/spark/pull/17216#discussion_r106033678 --- Diff: sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamSuite.scala --- @@ -389,6 +390,61 @@ class StreamSuite extends StreamTest { query.stop() assert(query.exception.isEmpty) } + + test("SPARK-19873: streaming aggregation with change in number of partitions") { + val inputData = MemoryStream[(Int, Int)] + val agg = inputData.toDS().groupBy("_1").count() + + testStream(agg, OutputMode.Complete())( + AddData(inputData, (1, 0), (2, 0)), + StartStream(additionalConfs = Map(SQLConf.SHUFFLE_PARTITIONS.key -> "2")), + CheckAnswer((1, 1), (2, 1)), + StopStream, + AddData(inputData, (3, 0), (2, 0)), + StartStream(additionalConfs = Map(SQLConf.SHUFFLE_PARTITIONS.key -> "5")), + CheckAnswer((1, 1), (2, 2), (3, 1)), + StopStream, + AddData(inputData, (3, 0), (1, 0)), + StartStream(additionalConfs = Map(SQLConf.SHUFFLE_PARTITIONS.key -> "1")), + CheckAnswer((1, 2), (2, 2), (3, 2))) + } + + test("SPARK-19873: backward compat with checkpoints that do not record shuffle partitions") { + val inputData = MemoryStream[Int] + inputData.addData(1, 2, 3, 4) + inputData.addData(3, 4, 5, 6) + inputData.addData(5, 6, 7, 8) + + val resourceUri = + this.getClass.getResource("/structured-streaming/checkpoint-version-2.1.0").toURI + val checkpointDir = new File(resourceUri).getCanonicalPath + val query = inputData + .toDF() + .groupBy($"value") + .agg(count("*")) + .writeStream + .queryName("counts") + .outputMode("complete") + .option("checkpointLocation", checkpointDir) + .format("memory") + + // Checkpoint data was generated by a query with 10 shuffle partitions. + // Test if recovery from checkpoint is successful. + withSQLConf(SQLConf.SHUFFLE_PARTITIONS.key -> "10") { + query.start().processAllAvailable() + + QueryTest.checkAnswer(spark.table("counts").toDF(), + Row("1", 1) :: Row("2", 1) :: Row("3", 2) :: Row("4", 2) :: + Row("5", 2) :: Row("6", 2) :: Row("7", 1) :: Row("8", 1) :: Nil) + } + + // If the number of partitions is greater, should throw exception. + withSQLConf(SQLConf.SHUFFLE_PARTITIONS.key -> "15") { --- End diff -- Seems okay to me. Underlying cause is `FileNotFoundException`. Error message indicates _Error reading delta file /Users/path/to/checkpoint/state/[operator]/[partition]/[batch].delta_ > [info] - SPARK-19873: backward compatibility - recover with wrong num shuffle partitions *** FAILED *** (12 seconds, 98 milliseconds) [info] org.apache.spark.sql.streaming.StreamingQueryException: Query badQuery [id = dddc5e7f-1e71-454c-8362-de184444fb5a, runId = b2960c74-257a-4eb1-b242-61d13e20655f] terminated with exception: Job aborted due to stage failure: Task 10 in stage 1.0 failed 1 times, most recent failure: Lost task 10.0 in stage 1.0 (TID 11, localhost, executor driver): java.lang.IllegalStateException: Error reading delta file /Users/kunalkhamar/spark/target/tmp/spark-2816c3be-610f-450c-a821-6d0c68a12d91/state/0/10/1.delta of HDFSStateStoreProvider[id = (op=0, part=10), dir = /Users/kunalkhamar/spark/target/tmp/spark-2816c3be-610f-450c-a821-6d0c68a12d91/state/0/10]: /Users/kunalkhamar/spark/target/tmp/spark-2816c3be-610f-450c-a821-6d0c68a12d91/state/0/10/1.delta does not exist [info] at org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$updateFromDeltaFile(HDFSBackedStateStoreProvider.scala:384) [info] at org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1$$anonfun$6.apply(HDFSBackedStateStoreProvider.scala:336) [info] at org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1$$anonfun$6.apply(HDFSBackedStateStoreProvider.scala:333) [info] at scala.Option.getOrElse(Option.scala:121) [info] at org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1.apply(HDFSBackedStateStoreProvider.scala:333) [info] at org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1.apply(HDFSBackedStateStoreProvider.scala:332) [info] at scala.Option.getOrElse(Option.scala:121) [info] at org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap(HDFSBackedStateStoreProvider.scala:332) [info] at org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.getStore(HDFSBackedStateStoreProvider.scala:239) [info] at org.apache.spark.sql.execution.streaming.state.StateStore$.get(StateStore.scala:191) [info] at org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:61) [info] at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) [info] at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) [info] at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) [info] at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) [info] at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) [info] at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) [info] at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) [info] at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) [info] at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) [info] at org.apache.spark.scheduler.Task.run(Task.scala:108) [info] at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:317) [info] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) [info] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) [info] at java.lang.Thread.run(Thread.java:745) [info] Caused by: java.io.FileNotFoundException: File /Users/kunalkhamar/spark/target/tmp/spark-2816c3be-610f-450c-a821-6d0c68a12d91/state/0/10/1.delta does not exist [info] at org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:539) [info] at org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:752) [info] at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:529) [info] at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:409) [info] at org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSInputChecker.<init>(ChecksumFileSystem.java:142) [info] at org.apache.hadoop.fs.ChecksumFileSystem.open(ChecksumFileSystem.java:346) [info] at org.apache.spark.DebugFilesystem.open(DebugFilesystem.scala:61) [info] at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:766) [info] at org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$updateFromDeltaFile(HDFSBackedStateStoreProvider.scala:381) [info] ... 24 more
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org