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Date: Tue, 19 Jan 2016 13:56:39 +0000 (UTC)
From: "Sean Owen (JIRA)" <jira@apache.org>
To: issues@spark.apache.org
Message-ID: <JIRA.12747572.1413114567000.147615.1453211799915@Atlassian.JIRA>
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 <JIRA.12747572.1413114567267@arcas>
Subject: [jira] [Resolved] (SPARK-3917) Compress data before network
 transfer
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     [ https://issues.apache.org/jira/browse/SPARK-3917?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-3917.
------------------------------
    Resolution: Won't Fix

The narrow issue here is probably WontFix, as the issue is more about treatment of sparse data, not compression. I don't think another level of compression would help. This also hasn't gotten any traction.

> Compress data before network transfer
> -------------------------------------
>
>                 Key: SPARK-3917
>                 URL: https://issues.apache.org/jira/browse/SPARK-3917
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 1.1.0
>         Environment: All
>            Reporter: junlong
>
>     When training Gradient Boosting Decision Tree on large sparse data, heavy network flow pull down CPU utilization ratio. And through compression on network flow data, 90% are reduced. 
>     So maybe compression before transfering may provide higher speedup on spark. And user can configure it to decide whether compress or not.


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