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https://issues.apache.org/jira/browse/HADOOP-17125?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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DB Tsai updated HADOOP-17125:
-----------------------------
Description:
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 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 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]].
was:
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]].
> 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
>
> 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 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 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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