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https://issues.apache.org/jira/browse/SPARK-18052?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15597456#comment-15597456
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Sean Owen commented on SPARK-18052:
-----------------------------------
This sounds like you have some env or network problem. I'm not aware of any
problems of this form and there's no real info on a reproduction here, so I'd
generally close this.
> Spark Job failing with org.apache.spark.rpc.RpcTimeoutException
> ---------------------------------------------------------------
>
> Key: SPARK-18052
> URL: https://issues.apache.org/jira/browse/SPARK-18052
> Project: Spark
> Issue Type: Bug
> Components: Spark Submit
> Affects Versions: 2.0.0
> Environment: 3 node spark cluster, all AWS r3.xlarge instances
> running on ubuntu.
> Reporter: Srikanth
> Attachments: sparkErrorLog.txt
>
>
> Spark submit jobs are failing with org.apache.spark.rpc.RpcTimeoutException.
> increased the spark.executor.heartbeatInterval value from 10s to 60s, but
> still the same issue.
> This is happening while saving a dataframe to a mounted network drive. Not
> using HDFS here. We are able to write successfully for smaller size files
> under 10G, the data here we are reading is nearly 20G
> driver memory = 10G
> executor memory = 25G
> Please see the attached log file.
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