You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2014/10/22 07:56:33 UTC
[jira] [Resolved] (SPARK-4018) RDD.reduce failing with
java.lang.ClassCastException: org.apache.spark.SparkContext$$anonfun$26
cannot be cast to scala.Function2
[ https://issues.apache.org/jira/browse/SPARK-4018?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-4018.
------------------------------
Resolution: Not a Problem
> RDD.reduce failing with java.lang.ClassCastException: org.apache.spark.SparkContext$$anonfun$26 cannot be cast to scala.Function2
> ---------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-4018
> URL: https://issues.apache.org/jira/browse/SPARK-4018
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.1.1
> Reporter: Haithem Turki
> Priority: Critical
>
> Hey all,
> A simple reduce operation against Spark 1.1.1 is giving me following exception:
> {code}
> 14/10/20 16:27:22 ERROR executor.Executor: Exception in task 9.7 in stage 0.0 (TID 1001)
> java.lang.ClassCastException: org.apache.spark.SparkContext$$anonfun$26 cannot be cast to scala.Function2
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:57)
> at org.apache.spark.scheduler.Task.run(Task.scala:54)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> {code}
> My code is a relatively simple map-reduce:
> {code}
> Map<String, Foo> aggregateTracker = rdd.map(new MapFunction(list))
> .reduce(new ReduceFunction());
> {code}
> Where:
> - MapFunction is of type Function<Record, Map<String, Object>
> - ReduceFunction is of type Function2<Map<String, Foo>, Map<String, Foo>, Map<String, Foo>>
> - list is just a list of Foo2
> Both Foo1 and Foo2 are serializable
> I've tried this with both the Java and Scala API, lines for each are:
> org.apache.spark.api.java.JavaRDD.reduce(JavaRDD.scala:32)
> org.apache.spark.rdd.RDD.reduce(RDD.scala:861)
> The thing being flagged is always: org.apache.spark.SparkContext$$anonfun$26 (the number doesn't change).
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org