Sushmita chauhan created SPARK-39064:
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Summary: FileNotFoundException while reading from Kafka
Key: SPARK-39064
URL: https://issues.apache.org/jira/browse/SPARK-39064
Project: Spark
Issue Type: Bug
Components: Structured Streaming
Affects Versions: 2.4.8
Reporter: Sushmita chauhan
Fix For: 2.4.8
We are running a stateful structured streaming job which reads from Kafka and
writes to HDFS. And we are hitting this exception:
17/12/08 05:20:12 ERROR FileFormatWriter: Aborting job null.
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in stage 1.0 (TID
4, hcube1-1n03.eng.hortonworks.com, executor 1):
java.lang.IllegalStateException: Error reading delta file
/checkpointDir/state/0/0/1.delta of HDFSStateStoreProvider[id = (op=0, part=0),
dir = /checkpointDir/state/0/0]: /checkpointDir/state/0/0/1.delta does not
exist at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$updateFromDeltaFile(HDFSBackedStateStoreProvider.scala:410)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1$$anonfun$6.apply(HDFSBackedStateStoreProvider.scala:362)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1$$anonfun$6.apply(HDFSBackedStateStoreProvider.scala:359)
at scala.Option.getOrElse(Option.scala:121) at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$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$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1$$anonfun$6.apply(HDFSBackedStateStoreProvider.scala:360)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1$$anonfun$6.apply(HDFSBackedStateStoreProvider.scala:359)
at scala.Option.getOrElse(Option.scala:121
Of course, the file doesn't exist in HDFS. And in the {{state/0/0}} directory
there is no file at all. While we have some files in the commits and offsets
folders. I am not sure about the reason of this behavior. It seems to happen on
the second time the job is started,
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