[
https://issues.apache.org/jira/browse/SPARK-18805?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15833377#comment-15833377
]
Genmao Yu commented on SPARK-18805:
-----------------------------------
+ 1 to {{That should be not an infinite loop. The time is different on each
call.}}
And, there is really a potential {{StackOverflowError}} issue, but it is hard
to arise according to my understanding. Could you please provide your setting
of checkpointDuration and batchDuration?
> InternalMapWithStateDStream make java.lang.StackOverflowError
> --------------------------------------------------------------
>
> Key: SPARK-18805
> URL: https://issues.apache.org/jira/browse/SPARK-18805
> Project: Spark
> Issue Type: Bug
> Components: DStreams
> Affects Versions: 1.6.3, 2.0.2
> Environment: mesos
> Reporter: etienne
>
> When load InternalMapWithStateDStream from a check point.
> If isValidTime is true and if there is no generatedRDD at the given time
> there is an infinite loop.
> 1) compute is call on InternalMapWithStateDStream
> 2) InternalMapWithStateDStream try to generate the previousRDD
> 3) Stream look in generatedRDD if the RDD is already generated for the given
> time
> 4) It not fund the rdd so it check if the time is valid.
> 5) if the time is valid call compute on InternalMapWithStateDStream
> 6) restart from 1)
> Here the exception that illustrate this error
> {code}
> Exception in thread "streaming-start" java.lang.StackOverflowError
> at
> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:341)
> at
> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:341)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
> at
> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:340)
> at
> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:340)
> at
> org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:415)
> at
> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:335)
> at
> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:333)
> at scala.Option.orElse(Option.scala:289)
> at
> org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:330)
> at
> org.apache.spark.streaming.dstream.InternalMapWithStateDStream.compute(MapWithStateDStream.scala:134)
> at
> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:341)
> at
> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:341)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
> at
> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:340)
> at
> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:340)
> at
> org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:415)
> at
> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:335)
> at
> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:333)
> at scala.Option.orElse(Option.scala:289)
> at
> org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:330)
> at
> org.apache.spark.streaming.dstream.InternalMapWithStateDStream.compute(MapWithStateDStream.scala:134)
> at
> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:341)
> {code}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
