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From "Patrick Wendell (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-4740) Netty's network throughput is about 1/2 of NIO's in spark-perf sortByKey
Date Fri, 05 Dec 2014 21:44:12 GMT

    [ https://issues.apache.org/jira/browse/SPARK-4740?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14236162#comment-14236162
] 

Patrick Wendell commented on SPARK-4740:
----------------------------------------

I'd like to escalate this to a 1.2 blocker, at least temporarily.

> Netty's network throughput is about 1/2 of NIO's in spark-perf sortByKey
> ------------------------------------------------------------------------
>
>                 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
>            Assignee: Reynold Xin
>         Attachments: Spark-perf Test Report 16 Cores per Executor.pdf, Spark-perf Test
Report.pdf, TestRunner  sort-by-key - Thread dump for executor 1_files (Netty-48 Cores per
node).zip, TestRunner  sort-by-key - Thread dump for executor 1_files (Nio-48 cores per node).zip
>
>
> 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. 



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