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From "ASF GitHub Bot (Jira)" <j...@apache.org>
Subject [jira] [Work logged] (HADOOP-17125) Using snappy-java in SnappyCodec
Date Fri, 25 Sep 2020 19:01:00 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-17125?focusedWorklogId=491365&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-491365

ASF GitHub Bot logged work on HADOOP-17125:

                Author: ASF GitHub Bot
            Created on: 25/Sep/20 19:00
            Start Date: 25/Sep/20 19:00
    Worklog Time Spent: 10m 
      Work Description: sunchao commented on a change in pull request #2297:
URL: https://github.com/apache/hadoop/pull/2297#discussion_r495176908

File path: hadoop-common-project/hadoop-common/src/test/java/org/apache/hadoop/io/compress/CompressDecompressTester.java
@@ -495,19 +479,16 @@ public String getName() {
     Compressor compressor = pair.compressor;
     if (compressor.getClass().isAssignableFrom(Lz4Compressor.class)
-            && (NativeCodeLoader.isNativeCodeLoaded()))

Review comment:
       Yeah usually it's not recommended to include unrelated changes in Hadoop patch, we
may add another refactoring PR later if this is absolutely necessary.

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Issue Time Tracking

    Worklog Id:     (was: 491365)
    Time Spent: 18h 40m  (was: 18.5h)

> 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: 18h 40m
>  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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