GitHub user sitalkedia opened a pull request:
https://github.com/apache/spark/pull/18805
[SPARK-19112][CORE] Support for ZStandard codec
## What changes were proposed in this pull request?
Using zstd compression for Spark jobs spilling 100s of TBs of data, we
could reduce the amount of data written to disk by as much as 50%. This
translates to significant latency gain because of reduced disk io operations.
There is a degradation CPU time by 2 - 5% because of zstd compression overhead,
but for jobs which are bottlenecked by disk IO, this hit can be taken.
## How was this patch tested?
Tested by running few jobs spilling large amount of data on the cluster and
amount of intermediate data written to disk reduced by as much as 50%.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sitalkedia/spark skedia/upstream_zstd
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18805.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #18805
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commit cff558b6873a8ec184159a9df3c1e83c9cd0a6e7
Author: Sital Kedia <ske...@fb.com>
Date: 2017-08-02T00:41:27Z
[SPARK-19112][CORE] Support for ZStandard codec
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