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https://issues.apache.org/jira/browse/SPARK-17756?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17756:
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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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