Rahul Palamuttam created SPARK-13634:
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Summary: 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.
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