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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/12/12 09:52:46 UTC
[jira] [Resolved] (SPARK-11193) Spark 1.5+ Kinesis Streaming -
ClassCastException when starting KinesisReceiver
[ https://issues.apache.org/jira/browse/SPARK-11193?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-11193.
-------------------------------
Resolution: Fixed
Fix Version/s: 1.6.1
2.0.0
Issue resolved by pull request 10203
[https://github.com/apache/spark/pull/10203]
> Spark 1.5+ Kinesis Streaming - ClassCastException when starting KinesisReceiver
> -------------------------------------------------------------------------------
>
> Key: SPARK-11193
> URL: https://issues.apache.org/jira/browse/SPARK-11193
> Project: Spark
> Issue Type: Bug
> Components: Streaming
> Affects Versions: 1.5.0, 1.5.1
> Reporter: Phil Kallos
> Fix For: 2.0.0, 1.6.1
>
> Attachments: screen.png
>
>
> After upgrading from Spark 1.4.x -> 1.5.x, I am now unable to start a Kinesis Spark Streaming application, and am being consistently greeted with this exception:
> java.lang.ClassCastException: scala.collection.mutable.HashMap cannot be cast to scala.collection.mutable.SynchronizedMap
> at org.apache.spark.streaming.kinesis.KinesisReceiver.onStart(KinesisReceiver.scala:175)
> at org.apache.spark.streaming.receiver.ReceiverSupervisor.startReceiver(ReceiverSupervisor.scala:148)
> at org.apache.spark.streaming.receiver.ReceiverSupervisor.start(ReceiverSupervisor.scala:130)
> at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$9.apply(ReceiverTracker.scala:542)
> at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$9.apply(ReceiverTracker.scala:532)
> at org.apache.spark.SparkContext$$anonfun$38.apply(SparkContext.scala:1982)
> at org.apache.spark.SparkContext$$anonfun$38.apply(SparkContext.scala:1982)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> Worth noting that I am able to reproduce this issue locally, and also on Amazon EMR (using the latest emr-release 4.1.0 which packages Spark 1.5.0).
> Also, I am not able to run the included kinesis-asl example.
> Built locally using:
> git checkout v1.5.1
> mvn -Pyarn -Pkinesis-asl -Phadoop-2.6 -DskipTests clean package
> Example run command:
> bin/run-example streaming.KinesisWordCountASL phibit-test kinesis-connector https://kinesis.us-east-1.amazonaws.com
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