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https://issues.apache.org/jira/browse/SPARK-550?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Matthew Farrellee closed SPARK-550.
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Resolution: Done
> Hiding the default spark context in the spark shell creates serialization
> issues
> --------------------------------------------------------------------------------
>
> Key: SPARK-550
> URL: https://issues.apache.org/jira/browse/SPARK-550
> Project: Spark
> Issue Type: Bug
> Reporter: tjhunter
>
> I copy-pasted a piece of code along these lines in the spark shell:
> ...
> val sc = new SparkContext("local[%d]" format num_splits,"myframework")
> val my_rdd = sc.textFile(...)
> my_rdd.count()
> This leads to the shell crashing with a java.io.NotSerializableException:
> spark.SparkContext
> It took me a while to realize it was due to the new spark context created.
> Maybe a warning/error should be triggered if the user tries to change the
> definition of sc?
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