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https://issues.apache.org/jira/browse/HADOOP-17125?focusedWorklogId=492164&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-492164
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ASF GitHub Bot logged work on HADOOP-17125:
-------------------------------------------

                Author: ASF GitHub Bot
            Created on: 28/Sep/20 21:33
            Start Date: 28/Sep/20 21:33
    Worklog Time Spent: 10m 
      Work Description: saintstack commented on pull request #2297:
URL: https://github.com/apache/hadoop/pull/2297#issuecomment-700293030


   > @steveloughran if snappy native was a dependency for hbase-common, do you 
think that argues snappy-java could be (having it as 'provided' undoes the main 
benefit of using snappy-java jar instead of the native snappy libs). Thanks 
Steve.
   
   Any luck on opinion on above @steveloughran ? Thanks boss.


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Issue Time Tracking
-------------------

    Worklog Id:     (was: 492164)
    Time Spent: 20h  (was: 19h 50m)

> Using snappy-java in SnappyCodec
> --------------------------------
>
>                 Key: HADOOP-17125
>                 URL: https://issues.apache.org/jira/browse/HADOOP-17125
>             Project: Hadoop Common
>          Issue Type: New Feature
>          Components: common
>    Affects Versions: 3.3.0
>            Reporter: DB Tsai
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 20h
>  Remaining Estimate: 0h
>
> In Hadoop, we use native libs for snappy codec which has several 
> disadvantages:
>  * It requires native *libhadoop* and *libsnappy* 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 
> [snappy-java|[https://github.com/xerial/snappy-java]] 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. If a native implementation can not be found for a 
> platform, it can fallback to pure-java implementation of snappy based on 
> [aircompressor|[https://github.com/airlift/aircompressor/tree/master/src/main/java/io/airlift/compress/snappy]].



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