[
https://issues.apache.org/jira/browse/SPARK-12980?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Christopher Bourez updated SPARK-12980:
---------------------------------------
Description:
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
What could be the reason to have the windows spark textfile method fail ?
was:
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
What could be the reason to have the windows spark textfile method fail ?
> 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
> What could be the reason to have the windows spark textfile method fail ?
--
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
