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Posted to issues@beam.apache.org by "Alexey Romanenko (Jira)" <ji...@apache.org> on 2020/10/06 14:51:00 UTC
[jira] [Assigned] (BEAM-11016) SqsIO exception when moving to AWS2
SDK
[ https://issues.apache.org/jira/browse/BEAM-11016?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Alexey Romanenko reassigned BEAM-11016:
---------------------------------------
Assignee: Alexey Romanenko
> SqsIO exception when moving to AWS2 SDK
> ---------------------------------------
>
> Key: BEAM-11016
> URL: https://issues.apache.org/jira/browse/BEAM-11016
> Project: Beam
> Issue Type: Bug
> Components: io-java-aws
> Affects Versions: 2.24.0
> Reporter: Alexey Romanenko
> Assignee: Alexey Romanenko
> Priority: P2
>
> tclemons@tutanota.com reported in [email thread|https://lists.apache.org/thread.html/r70b5561fde7d9c750475e44d1b8049709dcbcbe43f19233814a2b97c%40%3Cuser.beam.apache.org%3E]:
>
> I've been attempting to migrate to the AWS2 SDK (version 2.24.0) on Apache Spark 2.4.7. However, when switching over to the new API and running it I keep getting the following exceptions:
> {code}
> 2020-09-30 20:38:32,428 ERROR streaming.StreamingContext: Error starting the context, marking it as stopped org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 4 times, most recent failure: Lost task 0.3 in stage 2.0 (TID 6, 10.42.180.18, executor 0): java.lang.NullPointerException at org.apache.beam.sdk.io.aws2.sqs.SqsUnboundedSource.lambda$new$e39e7721$1(SqsUnboundedSource.java:41)
>
> at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Suppliers$MemoizingSupplier.get(Suppliers.java:129)
>
> at org.apache.beam.sdk.io.aws2.sqs.SqsUnboundedSource.getSqs(SqsUnboundedSource.java:74)
>
> at org.apache.beam.sdk.io.aws2.sqs.SqsUnboundedReader.pull(SqsUnboundedReader.java:165)
>
> at org.apache.beam.sdk.io.aws2.sqs.SqsUnboundedReader.advance(SqsUnboundedReader.java:108)
>
> at org.apache.beam.runners.spark.io.MicrobatchSource$Reader.advanceWithBackoff(MicrobatchSource.java:246)
>
> at org.apache.beam.runners.spark.io.MicrobatchSource$Reader.start(MicrobatchSource.java:224)
>
> at org.apache.beam.runners.spark.stateful.StateSpecFunctions$1.apply(StateSpecFunctions.java:168)
>
> at org.apache.beam.runners.spark.stateful.StateSpecFunctions$1.apply(StateSpecFunctions.java:107)
>
> at org.apache.spark.streaming.StateSpec$$anonfun$1.apply(StateSpec.scala:181)
>
> at org.apache.spark.streaming.StateSpec$$anonfun$1.apply(StateSpec.scala:180)
>
> at org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$anonfun$updateRecordWithData$1.apply(MapWithStateRDD.scala:57)
> {code}
>
> Examining the source of SqsUnboundedSource reveals a lambda where it's trying to chain a few references:
> {code}
> read.sqsClientProvider().getSqsClient()
> {code}
>
> Which is odd as I explicitly set the client provider on the read transform. This was working well enough with the old SqsIO API to connect and process messages off the queue.
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