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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/01/25 16:46:39 UTC
[jira] [Resolved] (SPARK-12980) pyspark crash for large dataset -
clone
[ https://issues.apache.org/jira/browse/SPARK-12980?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-12980.
-------------------------------
Resolution: Invalid
Why is this a clone of another issue? I don't think you've specified clearly what the problem is -- you say it doesn't work. QUestions should go to user@spark.apache.org
> pyspark crash for large dataset - clone
> ---------------------------------------
>
> Key: SPARK-12980
> URL: https://issues.apache.org/jira/browse/SPARK-12980
> Project: Spark
> Issue Type: Bug
> Affects Versions: 1.5.2
> Environment: windows
> Reporter: Christopher Bourez
>
> I installed spark 1.6 on many different computers.
> On Windows, PySpark textfile method, followed by take(1), does not work on a file of 13M.
> If I set numpartitions to 2000 or take a smaller file, the method works well.
> The Pyspark is set with all RAM memory of the computer thanks to the command --conf spark.driver.memory=5g in local mode.
> On Mac OS, I'm able to launch the exact same program with Pyspark with 16G RAM for a file of much bigger in comparison, of 5G. Memory is correctly allocated, removed etc
> On Ubuntu, no trouble, I can also launch a cluster http://christopher5106.github.io/big/data/2016/01/19/computation-power-as-you-need-with-EMR-auto-termination-cluster-example-random-forest-python.html
> The error message on Windows is : java.net.SocketException: Connection reset by peer: socket write error
> Configuration is : Java 8 64 bit, Python 2.7.11, on Windows 7 entreprise SP1 v2.42.01
> What could be the reason to have the windows spark textfile method fail ?
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