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From "ASF GitHub Bot (Jira)" <j...@apache.org>
Subject [jira] [Work logged] (HADOOP-17125) Using snappy-java in SnappyCodec
Date Thu, 01 Oct 2020 14:05:00 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-17125?focusedWorklogId=493505&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-493505

ASF GitHub Bot logged work on HADOOP-17125:

                Author: ASF GitHub Bot
            Created on: 01/Oct/20 14:04
            Start Date: 01/Oct/20 14:04
    Worklog Time Spent: 10m 
      Work Description: steveloughran commented on pull request #2297:
URL: https://github.com/apache/hadoop/pull/2297#issuecomment-702159088

   ok, yetus is running, it's just reporting isn't quite there...if you follow the link you
see the results. Test failures in hdfs: unrelated. ASF licence warning: unrelated. 
   Checkstyles are, sadly, related.
   }:5: '}' at column 5 should be on the same line as the next part of a multi-block statement
(one that directly contains multiple blocks: if/else-if/else, do/while or try/catch/finally).
   else if (compressor.getClass().isAssignableFrom(SnappyCompressor.class)): 'if' construct
must use '{}'s. [NeedBraces]
   int[] size = { 4 * 1024, 64 * 1024, 128 * 1024, 1024 * 1024 };:18: '{' is followed by whitespace.

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Issue Time Tracking

    Worklog Id:     (was: 493505)
    Time Spent: 22.5h  (was: 22h 20m)

> 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: 22.5h
>  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
>  * 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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