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https://issues.apache.org/jira/browse/SPARK-18978?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-18978:
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Labels: bulk-closed (was: )
> Spark streaming ClassCastException
> ----------------------------------
>
> Key: SPARK-18978
> URL: https://issues.apache.org/jira/browse/SPARK-18978
> Project: Spark
> Issue Type: Bug
> Reporter: Keltoum BOUQOUROU
> Priority: Major
> Labels: bulk-closed
>
> I use Spark Streaming as a listener to monitor a directory. When a new file
> is detected, the program performs a processing on the file. The program is
> the following:
> val conf = new SparkConf().setAppName("DocumentRanking").setMaster("local[*]")
> val sparkStreamingContext = new StreamingContext(conf, Seconds(5))
> val directoryStream =sparkStreamingContext.textFileStream("nom_dossier")
> directoryStream.foreachRDD (rdd => if (rdd.count()!=0)
> rdd.foreach(line =>traitement()))
> The processing of the first file added passes without problems. But with the
> addition of the second file, I have the following error:
> 16/12/22 09:11:37 ERROR Executor: Exception in task 0.0 in stage 2.0 (TID 2)
> java.lang.ClassCastException: org.apache.spark.util.SerializableConfiguration
> cannot be cast to [B
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
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