David Ahern created SPARK-23351:
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Summary: checkpoint corruption in long running application
Key: SPARK-23351
URL: https://issues.apache.org/jira/browse/SPARK-23351
Project: Spark
Issue Type: Bug
Components: Structured Streaming
Affects Versions: 2.2.0
Reporter: David Ahern
hi, after leaving my (somewhat high volume) Structured Streaming running for
some time, i get the following exception. The same exception also repeats when
i try to restart the application. The only way to get the application back
running is to clear the checkpoint directory which is far from ideal.
Maybe a stream in not being flushed/closed properly internally by Spark when
checkpointing?
User class threw exception:
org.apache.spark.sql.streaming.StreamingQueryException: Job aborted due to
stage failure: Task 55 in stage 1.0 failed 4 times, most recent failure: Lost
task 55.3 in stage 1.0 (TID 240, gbslixaacspa04u.metis.prd, executor 2):
java.io.EOFException
at java.io.DataInputStream.readInt(DataInputStream.java:392)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$readSnapshotFile(HDFSBackedStateStoreProvider.scala:481)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1.apply(HDFSBackedStateStoreProvider.scala:359)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1.apply(HDFSBackedStateStoreProvider.scala:358)
at scala.Option.getOrElse(Option.scala:121)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap(HDFSBackedStateStoreProvider.scala:358)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.getStore(HDFSBackedStateStoreProvider.scala:265)
at
org.apache.spark.sql.execution.streaming.state.StateStore$.get(StateStore.scala:200)
at
org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:61)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
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