Overview This guide describes the native hadoop library and includes a small discussion about native shared libraries. Note: Depending on your environment, the term 'native libraries' could refer to all.so's you need to compile; and, the term 'native compression' could refer to all.so's you need to compile that are specifically related to compression. Currently, however, this document only addresses the native hadoop library ( libhadoop.so). The document for libhdfs library ( libhdfs.so) is. Usage It is fairly easy to use the native hadoop library:.

Review the components. Review the supported platforms.

Either download a hadoop release, which will include a pre-built version of the native hadoop library, or build your own version of the native hadoop library. Whether you download or build, the name for the library is the same: libhadoop.so. Install the compression codec development packages (zlib-1.2, gzip-1.2):.

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If you download the library, install one or more development packages - whichever compression codecs you want to use with your deployment. If you build the library, it is mandatory to install both development packages. Check the runtime log files.

Build The native hadoop library is written in ANSI C and is built using the GNU autotools-chain (autoconf, autoheader, automake, autoscan, libtool). This means it should be straight-forward to build the library on any platform with a standards-compliant C compiler and the GNU autotools-chain (see the supported platforms). The packages you need to install on the target platform are:. C compiler (e.g. GNU C Compiler). GNU Autools Chain: autoconf, automake, libtool. zlib-development package (stable version = 1.2.0).

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openssl-development package(e.g. Libssl-dev) Once you installed the prerequisite packages use the standard hadoop pom.xml file and pass along the native flag to build the native hadoop library. Runtime The bin/hadoop script ensures that the native hadoop library is on the library path via the system property: -Djava.library.path= During runtime, check the hadoop log files for your MapReduce tasks. If everything is all right, then: DEBUG util.NativeCodeLoader - Trying to load the custom-built native-hadoop library. INFO util.NativeCodeLoader - Loaded the native-hadoop library. If something goes wrong, then: INFO util.NativeCodeLoader - Unable to load native-hadoop library for your platform.

Using builtin-java classes where applicable. Native Shared Libraries You can load any native shared library using DistributedCache for distributing and symlinking the library files. This example shows you how to distribute a shared library, mylib.so, and load it from a MapReduce task.

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First copy the library to the HDFS: bin/hadoop fs -copyFromLocal mylib.so.1 /libraries/mylib.so.1. The job launching program should contain the following: DistributedCache.createSymlink(conf); DistributedCache.addCacheFile('hdfs://host:port/libraries/mylib.so.

1#mylib.so', conf);. The MapReduce task can contain: System.loadLibrary('mylib.so'); Note: If you downloaded or built the native hadoop library, you don’t need to use DistibutedCache to make the library available to your MapReduce tasks.