136 lines
6.7 KiB
Plaintext
136 lines
6.7 KiB
Plaintext
<!---
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. See accompanying LICENSE file.
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-->
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Native Libraries Guide
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======================
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<!-- MACRO{toc|fromDepth=0|toDepth=3} -->
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Overview
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--------
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This guide describes the native hadoop library and includes a small discussion about native shared libraries.
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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 [here](../hadoop-hdfs/LibHdfs.html).
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Native Hadoop Library
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---------------------
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Hadoop has native implementations of certain components for performance reasons and for non-availability of Java implementations. These components are available in a single, dynamically-linked native library called the native hadoop library. On the \*nix platforms the library is named `libhadoop.so`.
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Usage
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-----
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It is fairly easy to use the native hadoop library:
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1. Review the components.
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2. Review the supported platforms.
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3. 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
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4. 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.
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* If you build the library, it is mandatory to install both development packages.
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5. Check the runtime log files.
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Components
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----------
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The native hadoop library includes various components:
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* Compression Codecs (bzip2, lz4, snappy, zlib)
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* Native IO utilities for [HDFS Short-Circuit Local Reads](../hadoop-hdfs/ShortCircuitLocalReads.html) and [Centralized Cache Management in HDFS](../hadoop-hdfs/CentralizedCacheManagement.html)
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* CRC32 checksum implementation
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Supported Platforms
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-------------------
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The native hadoop library is supported on \*nix platforms only. The library does not to work with Cygwin or the Mac OS X platform.
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The native hadoop library is mainly used on the GNU/Linus platform and has been tested on these distributions:
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* RHEL4/Fedora
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* Ubuntu
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* Gentoo
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On all the above distributions a 32/64 bit native hadoop library will work with a respective 32/64 bit jvm.
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Download
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--------
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The pre-built 32-bit i386-Linux native hadoop library is available as part of the hadoop distribution and is located in the `lib/native` directory. You can download the hadoop distribution from Hadoop Common Releases.
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Be sure to install the zlib and/or gzip development packages - whichever compression codecs you want to use with your deployment.
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Build
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-----
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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).
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The packages you need to install on the target platform are:
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* C compiler (e.g. GNU C Compiler)
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* GNU Autools Chain: autoconf, automake, libtool
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* zlib-development package (stable version \>= 1.2.0)
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* openssl-development package(e.g. libssl-dev)
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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:
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$ mvn package -Pdist,native -DskipTests -Dtar
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You should see the newly-built library in:
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$ hadoop-dist/target/hadoop-${project.version}/lib/native
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Please note the following:
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* It is mandatory to install both the zlib and gzip development packages on the target platform in order to build the native hadoop library; however, for deployment it is sufficient to install just one package if you wish to use only one codec.
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* It is necessary to have the correct 32/64 libraries for zlib, depending on the 32/64 bit jvm for the target platform, in order to build and deploy the native hadoop library.
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Runtime
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-------
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The bin/hadoop script ensures that the native hadoop library is on the library path via the system property: `-Djava.library.path=<path> `
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During runtime, check the hadoop log files for your MapReduce tasks.
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* If everything is all right, then: `DEBUG util.NativeCodeLoader - Trying to load the custom-built native-hadoop library...` `INFO util.NativeCodeLoader - Loaded the native-hadoop library`
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* If something goes wrong, then: `INFO util.NativeCodeLoader - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable`
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Check
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-----
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NativeLibraryChecker is a tool to check whether native libraries are loaded correctly. You can launch NativeLibraryChecker as follows:
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$ hadoop checknative -a
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14/12/06 01:30:45 WARN bzip2.Bzip2Factory: Failed to load/initialize native-bzip2 library system-native, will use pure-Java version
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14/12/06 01:30:45 INFO zlib.ZlibFactory: Successfully loaded & initialized native-zlib library
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Native library checking:
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hadoop: true /home/ozawa/hadoop/lib/native/libhadoop.so.1.0.0
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zlib: true /lib/x86_64-linux-gnu/libz.so.1
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snappy: true /usr/lib/libsnappy.so.1
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lz4: true revision:99
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bzip2: false
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Native Shared Libraries
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-----------------------
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You can load any native shared library using DistributedCache for distributing and symlinking the library files.
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This example shows you how to distribute a shared library, mylib.so, and load it from a MapReduce task.
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1. First copy the library to the HDFS: `bin/hadoop fs -copyFromLocal mylib.so.1 /libraries/mylib.so.1`
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2. The job launching program should contain the following: `DistributedCache.createSymlink(conf);` `DistributedCache.addCacheFile("hdfs://host:port/libraries/mylib.so. 1#mylib.so", conf);`
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3. The MapReduce task can contain: `System.loadLibrary("mylib.so");`
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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.
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