[jira] [Comment Edited] (SPARK-13634) Assigning spark context to variable results in serialization error

["Rahul Palamuttam (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-13634?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15177093#comment-15177093 ] 

Rahul Palamuttam edited comment on SPARK-13634 at 7/17/16 7:24 AM:
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[~chrismattmann]


was (Author: rahul palamuttam):
[~chrismattmann]

> 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
>
> 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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