L. C. Hsieh created HADOOP-17292:
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             Summary: Using lz4-java in Lz4Codec
                 Key: HADOOP-17292
                 URL: https://issues.apache.org/jira/browse/HADOOP-17292
             Project: Hadoop Common
          Issue Type: New Feature
          Components: common
    Affects Versions: 3.3.0
            Reporter: L. C. Hsieh


In Hadoop, we use native libs for lz4 codec which has several disadvantages:

It requires native libhadoop 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 use [lz4-java|https://github.com/lz4/lz4-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 lz4.




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