ASF GitHub Bot commented on PARQUET-1866:

dbtsai commented on pull request #797:
URL: https://github.com/apache/parquet-mr/pull/797#issuecomment-643920535

   LGTM. This will help Spark community to adopt zstd easier. Thanks for the 
great work!

This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

For queries about this service, please contact Infrastructure at:

> Replace Hadoop ZSTD with JNI-ZSTD
> ---------------------------------
>                 Key: PARQUET-1866
>                 URL: https://issues.apache.org/jira/browse/PARQUET-1866
>             Project: Parquet
>          Issue Type: Improvement
>          Components: parquet-mr
>    Affects Versions: 1.12.0
>            Reporter: Xinli Shang
>            Assignee: Xinli Shang
>            Priority: Major
>             Fix For: 1.12.0
> The parquet-mr repo has been using 
> [ZSTD-JNI|https://github.com/luben/zstd-jni/tree/master/src/main/java/com/github/luben/zstd]
>  for the parquet-cli project. It is a cleaner approach to use this JNI than 
> using Hadoop ZSTD compression, because 1) on the developing box, installing 
> Hadoop is cumbersome, 2) Older version of Hadoop doesn't support ZSTD. 
> Upgrading Hadoop is another pain. This Jira is to replace Hadoop ZSTD with 
> ZSTD-JNI for parquet-hadoop project. 
> According to the author of ZSTD-JNI, Flink, Spark, Cassandra all use ZSTD-JNI 
> for ZSTD.
> Another approach is to use https://github.com/airlift/aircompressor which is 
> a pure Java implementation. But it seems the compression level is not 
> adjustable in aircompressor. 

This message was sent by Atlassian Jira

Reply via email to