[
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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
