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https://issues.apache.org/jira/browse/SPARK-4740?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14237015#comment-14237015
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Zhang, Liye commented on SPARK-4740:
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Hi [~adav], I attached the jstack info for both the better executor and lower
executor FYI.
Hi [~rxin], is it possible for you to reproduce the issue? Since [~jerryshao]'s
24 cores machine can see the difference between NIO and Netty, and even with 16
cores per executor Nio can outperform Netty. Because I'm afraid you are not
able to access our cluster because of the firewall.
> 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
> Priority: Blocker
> Attachments: (rxin patch better executor)TestRunner sort-by-key -
> Thread dump for executor 3_files.zip, (rxin patch normal executor)TestRunner
> sort-by-key - Thread dump for executor 0 _files.zip, 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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