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Posted to issues@spark.apache.org by "LeeeeLiu (Jira)" <ji...@apache.org> on 2022/02/08 02:49:00 UTC
[jira] [Updated] (SPARK-38033) The structured streaming processing cannot be started because the commitId and offsetId are inconsistent
[ https://issues.apache.org/jira/browse/SPARK-38033?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
LeeeeLiu updated SPARK-38033:
-----------------------------
Affects Version/s: 3.0.3
> The structured streaming processing cannot be started because the commitId and offsetId are inconsistent
> --------------------------------------------------------------------------------------------------------
>
> Key: SPARK-38033
> URL: https://issues.apache.org/jira/browse/SPARK-38033
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 2.4.6, 3.0.3
> Reporter: LeeeeLiu
> Priority: Major
>
> Streaming Processing could not start due to an unexpected machine shutdown.
> The exception is as follows
>
> {code:java}
> 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)
> {code}
> I checked checkpoint file on HDFS and found the latest offset is 113259. But commits is 113257. The following
> {code:java}
> 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{code}
> 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.
>
>
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