DB Tsai created HADOOP-17125:
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Summary: 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
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. 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 LVM 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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