Details
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Improvement
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Status: Resolved
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Major
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Resolution: Fixed
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3.3.0
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None
Description
Streaming Processing could not start due to an unexpected machine shutdown.
The exception is as follows
ERROR 22/01/12 02:48:36 MicroBatchExecution: Query streaming_4a026335eafd4bb498ee51752b49f7fb [id = 647ba9e4-16d2-4972-9824-6f9179588806, runId = 92385d5b-f31f-40d0-9ac7-bb7d9796d774] terminated with error
java.lang.IllegalStateException: batch 113258 doesn't exist
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$4.apply(MicroBatchExecution.scala:256)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$4.apply(MicroBatchExecution.scala:256)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.org$apache$spark$sql$execution$streaming$MicroBatchExecution$$populateStartOffsets(MicroBatchExecution.scala:255)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply$mcV$sp(MicroBatchExecution.scala:169)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply(MicroBatchExecution.scala:166)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply(MicroBatchExecution.scala:166)
at org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:351)
at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1.apply$mcZ$sp(MicroBatchExecution.scala:166)
at org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:160)
at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:281)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:193)
I checked checkpoint file on HDFS and found the latest offset is 113259. But commits is 113257. The following
commits /tmp/streaming_xxxxxxxx/commits/113253 /tmp/streaming_xxxxxxxx/commits/113254 /tmp/streaming_xxxxxxxx/commits/113255 /tmp/streaming_xxxxxxxx/commits/113256 /tmp/streaming_xxxxxxxx/commits/113257 offset /tmp/streaming_xxxxxxxx/offsets/113253 /tmp/streaming_xxxxxxxx/offsets/113254 /tmp/streaming_xxxxxxxx/offsets/113255 /tmp/streaming_xxxxxxxx/offsets/113256 /tmp/streaming_xxxxxxxx/offsets/113257 /tmp/streaming_xxxxxxxx/offsets/113259
Finally, I deleted offsets “/tmp/streaming_xxxxxxxx/offsets/113259” and the program started normally. I think there is a problem here and we should try to handle this exception or give some resolution in the log.
