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https://issues.apache.org/jira/browse/SPARK-18805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-18805:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>            Priority: Major
>
> 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}



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