[
https://issues.apache.org/jira/browse/SPARK-13634?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15177093#comment-15177093
]
Rahul Palamuttam commented on SPARK-13634:
------------------------------------------
[~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
>
> 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 wrapper around the
> SparkContext to read from various file formats. We want to keep this class
> structure and also use it notebook and shell environments.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
