[jira] [Commented] (HUDI-2928) Evaluate rebasing Hudi's default compression from Gzip to Zstd

["Alexey Kudinkin (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/HUDI-2928?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17486622#comment-17486622 ] 

Alexey Kudinkin commented on HUDI-2928:
---------------------------------------

Uber's example of leveraging Zstd in lieu of Gzip

https://eng.uber.com/cost-efficiency-big-data/

> Evaluate rebasing Hudi's default compression from Gzip to Zstd
> --------------------------------------------------------------
>
>                 Key: HUDI-2928
>                 URL: https://issues.apache.org/jira/browse/HUDI-2928
>             Project: Apache Hudi
>          Issue Type: Task
>            Reporter: Alexey Kudinkin
>            Assignee: Alexey Kudinkin
>            Priority: Blocker
>              Labels: pull-request-available
>             Fix For: 0.11.0
>
>         Attachments: Screen Shot 2021-12-03 at 12.36.13 PM.png, Screen Shot 2021-12-06 at 11.49.05 AM.png, image-2021-12-03-13-13-02-892.png
>
>
> Currently, having Gzip as a default we prioritize Compression/Storage cost at the expense of
>  * Compute (on the {+}write-path{+}): about *30%* of Compute burned during bulk-insert in local benchmarks on Amazon Reviews dataset is Gzip (see below) 
>  * Compute (on the {+}read-path{+}), as well as queries Latencies: queries scanning large datasets are likely to be compression-/CPU-bound (Gzip t/put is *3-4x* less than Snappy, Zstd, [EX|https://stackoverflow.com/a/56410326/3520840])
> P.S Spark switched its default compression algorithm to Snappy [a while ago|https://github.com/apache/spark/pull/12256].
>  
> *EDIT*
> We should actually evaluate putting in [zstd|https://engineering.fb.com/2016/08/31/core-data/smaller-and-faster-data-compression-with-zstandard/] instead of Snappy. It has compression ratios comparable to Gzip, while bringing in much better performance:
> !image-2021-12-03-13-13-02-892.png!
> [https://engineering.fb.com/2016/08/31/core-data/smaller-and-faster-data-compression-with-zstandard/]
>  
>  
>  



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