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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