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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:33:56 UTC
[jira] [Resolved] (SPARK-13634) Assigning spark context to variable
results in serialization error
[ https://issues.apache.org/jira/browse/SPARK-13634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-13634.
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Resolution: Incomplete
> Assigning spark context to variable results in serialization error
> ------------------------------------------------------------------
>
> Key: SPARK-13634
> URL: https://issues.apache.org/jira/browse/SPARK-13634
> Project: Spark
> Issue Type: Bug
> Components: Spark Shell
> Reporter: Rahul Palamuttam
> Priority: Minor
> Labels: bulk-closed
>
> The following lines of code cause a task serialization error when executed in the spark-shell.
> Note that the error does not occur when submitting the code as a batch job - via spark-submit.
> val temp = 10
> val newSC = sc
> val new RDD = newSC.parallelize(0 to 100).map(p => p + temp)
> For some reason when temp is being pulled in to the referencing environment of the closure, so is the SparkContext.
> We originally hit this issue in the SciSpark project, when referencing a string variable inside of a lambda expression in RDD.map(...)
> Any insight into how this could be resolved would be appreciated.
> While the above code is trivial, SciSpark uses a wrapper around the SparkContext to read from various file formats. We want to keep this class structure and also use it in notebook and shell environments.
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