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From Jean-Baptiste Onofré (JIRA) <j...@apache.org>
Subject [jira] [Commented] (SPARK-11193) Spark 1.5+ Kinesis Streaming - ClassCastException when starting KinesisReceiver
Date Tue, 20 Oct 2015 19:11:27 GMT

    [ https://issues.apache.org/jira/browse/SPARK-11193?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14965567#comment-14965567
] 

Jean-Baptiste Onofré commented on SPARK-11193:
----------------------------------------------

No warning with Java7 neither.

> 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
>         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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