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https://issues.apache.org/jira/browse/SPARK-12760?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-12760:
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Assignee: Apache Spark
> inaccurate description for difference between local vs cluster mode in
> closure handling
> ---------------------------------------------------------------------------------------
>
> Key: SPARK-12760
> URL: https://issues.apache.org/jira/browse/SPARK-12760
> Project: Spark
> Issue Type: Bug
> Components: Documentation
> Reporter: Mortada Mehyar
> Assignee: Apache Spark
> Priority: Minor
>
> In the spark documentation there's an example for illustrating how `local`
> and `cluster` mode can differ
> http://spark.apache.org/docs/latest/programming-guide.html#example
> " In local mode with a single JVM, the above code will sum the values within
> the RDD and store it in counter. This is because both the RDD and the
> variable counter are in the same memory space on the driver node."
> However the above doesn't seem to be true. Even in `local` mode it seems like
> the counter value should still be 0, because the variable will be summed up
> in the executor memory space, but the final value in the driver memory space
> is still 0. I tested this snippet and verified that in `local` mode the value
> is indeed still 0.
> Is the doc wrong or perhaps I'm missing something the doc is trying to say?
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