spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Aaron Davidson (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-4740) Netty's network bandwidth is much lower than NIO in spark-perf and Netty takes longer running time
Date Thu, 04 Dec 2014 22:58:12 GMT

    [ https://issues.apache.org/jira/browse/SPARK-4740?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14234758#comment-14234758
] 

Aaron Davidson commented on SPARK-4740:
---------------------------------------

Could you try to set "spark.shuffle.io.serverThreads" and "spark.shuffle.io.clientThreads"
to 48? We have an artificial max default of 8 to limit off-heap memory usage, but it's possible
this is not sufficient to saturate 10GB/s.

> Netty's network bandwidth is much lower than NIO in spark-perf and Netty takes longer
running time
> --------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-4740
>                 URL: https://issues.apache.org/jira/browse/SPARK-4740
>             Project: Spark
>          Issue Type: Improvement
>          Components: Shuffle, Spark Core
>    Affects Versions: 1.2.0
>            Reporter: Zhang, Liye
>         Attachments: Spark-perf Test Report.pdf
>
>
> When testing current spark master (1.3.0-snapshot) with spark-perf (sort-by-key, aggregate-by-key,
etc), Netty based shuffle transferService takes much longer time than NIO based shuffle transferService.
The network throughput of Netty is only about half of that of NIO. 
> We tested with standalone mode, and the data set we used for test is 20 billion records,
and the total size is about 400GB. Spark-perf test is Running on a 4 node cluster with 10G
NIC, 48 cpu cores per node and each executor memory is 64GB. The reduce tasks number is set
to 1000. 



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message