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https://issues.apache.org/jira/browse/HADOOP-19855?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18073916#comment-18073916
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ASF GitHub Bot commented on HADOOP-19855:
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pan3793 commented on PR #8399:
URL: https://github.com/apache/hadoop/pull/8399#issuecomment-4259156891
the failed yarn/hdfs tests are obviously irrelevant. I'm going to merge this
if no further comments in 48 hours.
> Use zstd-jni in ZStandardCodec
> ------------------------------
>
> Key: HADOOP-19855
> URL: https://issues.apache.org/jira/browse/HADOOP-19855
> Project: Hadoop Common
> Issue Type: Improvement
> Components: compress
> Affects Versions: 3.5.0
> Reporter: Cheng Pan
> Priority: Major
> Labels: pull-request-available
>
> In Hadoop, we use native libs for zstd codec which has several disadvantages:
> * It requires native *libhadoop* and *libzstd* to be installed in system
> {*}LD_LIBRARY_PATH{*}, and they have to be installed separately on each node
> of the clusters, container images, or local test environments which adds huge
> complexities from deployment point of view. In some environments, it requires
> compiling the natives from sources which is non-trivial. Also, this approach
> is platform dependent; the binary may not work in different platform, so it
> requires recompilation.
> * It requires extra configuration of *java.library.path* to load the
> natives, and it results higher application deployment and maintenance cost
> for users.
> Projects such as *Spark* and *Parquet* use
> [zstd-jni|https://github.com/luben/zstd-jni] which is JNI-based
> implementation. It contains native binaries for Linux, Mac, and IBM in jar
> file, and it can automatically load the native binaries into JVM from jar
> without any setup.
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