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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/10/14 14:12:02 UTC
[jira] [Assigned] (SPARK-17756) java.lang.ClassCastException when
using cartesian with DStream.transform
[ https://issues.apache.org/jira/browse/SPARK-17756?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-17756:
------------------------------------
Assignee: Apache Spark
> java.lang.ClassCastException when using cartesian with DStream.transform
> ------------------------------------------------------------------------
>
> Key: SPARK-17756
> URL: https://issues.apache.org/jira/browse/SPARK-17756
> Project: Spark
> Issue Type: Bug
> Components: DStreams, PySpark
> Affects Versions: 2.0.0, 2.3.0
> Reporter: Maciej Szymkiewicz
> Assignee: Apache Spark
>
> Steps to reproduce:
> {code}
> from pyspark.streaming import StreamingContext
> ssc = StreamingContext(spark.sparkContext, 10)
> (ssc
> .queueStream([sc.range(10)])
> .transform(lambda rdd: rdd.cartesian(rdd))
> .pprint())
> ssc.start()
> ## 16/10/01 21:34:30 ERROR JobScheduler: Error generating jobs for time 1475350470000 ms
> ## java.lang.ClassCastException: org.apache.spark.api.java.JavaPairRDD ## cannot be cast to org.apache.spark.api.java.JavaRDD
> ## at com.sun.proxy.$Proxy15.call(Unknown Source)
> ## ....
> {code}
> A dummy fix is to put {{map(lamba x: x)}} which suggests it is a problem similar to https://issues.apache.org/jira/browse/SPARK-16589
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