步骤1：准备安装包
wget http://www.apache.org/dist/ant/binaries/apache-ant-1.8.0RC1-bin.tar.gz
wget https://github.com/toddlipcon/hadoop-lzo/archive/0.4.15.tar.gz
步骤2：安装ant和lzo
//安装ant
tar -xvf apache-ant-1.8.0RC1-bin.tar.gz
mkdir /usr/local/ant/
cp apache-ant-1.8.0RC1-bin/* /usr/local/ant/
export ANT_HOME=/usr/local/ant
export ANT=$ANT_HOME/bin
export PATH=$ANT:$PATH
ant -v
//若”ant -v“输出内容，则表示安装成功
//安装lzo
tar -xvf lzo-2.06.tar.gz
cd lzo-2.06
./configure --enable-shared --prefix=/usr/local/lzo-2.06
make
make install
cp /usr/local/lzo-2.06/lib/* /usr/lib
cp /usr/local/lzo-2.06/lib/* /usr/lib64
步骤3：编译hadoop-lzo.0.4.15
tar -xvf 0.4.15.tar.gz
cd hadoop-lzo-0.4.15
C_INCLUDE_PATH=/usr/local/lzo-2.06/include
LIBRARY_PATH=/usr/local/lzo-2.06/lib
ant compile-native tar // 此命令同时会将hadoop-lzo生成一个单独目录（build/hadoop-lzo-0.4.15）并找包（build/hadoop-lzo-0.4.15.tar.gz）
cp build/hadoop-lzo-0.4.15 -R /home/inoknok_hdp/ //[可选]为了方便，可以将生成的hadoop-lzo-0.4.15拷贝到独立的目录下。
步骤4:将hadoop-lzo配置到hadoop和hbase中
cd build/hadoop-lzo-0.4.15
cp hadoop-lzo-0.4.15.jar /home/inoknok_hdp/hadoop-1.0.4/lib/
cp hadoop-lzo-0.4.15.jar /home/inoknok_hdp/hbase-0.94.13/lib/
cp lib/native/Linux-amd64-64/ -R /home/inoknok_hdp/hbase-0.94.13/lib/native/
cp lib/native/Linux-amd64-64/ -R /home/inoknok_hdp/hadoop-1.0.4/lib/native/
vi core-site.xml
<property>
<name>io.compression.codecs</name>
<value>org.apache.hadoop.io.compress.GzipCodec,org.apache.hadoop.io.compress.DefaultCodec,com.hadoop.compression.lzo.LzoCodec,com.hadoop.compression.lzo.LzopCodec,org.apache.hadoop.io.compress.BZip2Codec</value>
</property>
<property>
<name>io.compression.codec.lzo.class</name>
<value>com.hadoop.compression.lzo.LzoCodec</value>
</property>
vi mapred-site.xml
<property>
<name>mapreduce.map.output.compress</name>
<value>true</value>
</property>
<property>
<name>mapreduce.map.output.compress.codec</name>
<value>com.hadoop.compression.lzo.LzoCodec</value>
</property>
<property>
<name>mapred.child.env</name>
<value>JAVA_LIBRARY_PATH=/home/inoknok_hdp/hadoop-1.0.4/lib/native/Linux-amd64-64/</value>
</property>
步骤5：重启hbase和hadoop，即支持了lzo
步骤6：hbase shell测试
create 'lzotest', {NAME=>'cf', COMPRESSION=>'lzo'}
put 'lzotest', 'row-1', 'cf:col-1', 'val-1'
put 'lzotest', 'row-2', 'cf:col-2', 'val-2'
put 'lzotest', 'row-3', 'cf', 'val-3'
put 'lzotest', 'row-4', 'cf:col-1', 'val-4'
scan 'lzotest'
ROW COLUMN+CELL
row-1 column=cf:col-1, timestamp=1342424266301, value=val-1
row-2 column=cf:col-2, timestamp=1342424275314, value=val-2
row-3 column=cf:, timestamp=1342424286206, value=val-3
row-4 column=cf:col-1, timestamp=1342424315516, value=val-4
4 row(s) in 0.0750 seconds
参考链接：
http://blog.csdn.net/inkfish/article/details/5194022
https://code.google.com/a/apache-extras.org/p/hadoop-gpl-compression/wiki/FAQ
http://my.oschina.net/orion/blog/144146
http://ant.apache.org/manual/install.html
http://share.blog.51cto.com/278008/549393
https://github.com/toddlipcon/hadoop-lzo
遇到的问题：
问题1：可能要换ivy_repo_url对应的value
<property name="ivy_repo_url" value="http://repo2.maven.org/maven2/org/apache/ivy/ivy/${ivy.version}/ivy-${ivy.version}.jar"/>
问题2：[javah] Error: Class org.apache.hadoop.conf.Configuration could not be found.
vi build.xml
//找到 javah ，增加 <classpath refid="classpath"/>
<javah classpath="${build.classes}"
destdir="${build.native}/src/com/hadoop/compression/lzo"
force="yes"
verbose="yes">
<class name="com.hadoop.compression.lzo.LzoCompressor" />
<class name="com.hadoop.compression.lzo.LzoDecompressor" />
<classpath refid="classpath"/>
</javah>
问题3：configure: error: lzo headers were not found...
export C_INCLUDE_PATH=/usr/local/lzo-2.06/include
export LIBRARY_PATH=/usr/local/lzo-2.06/lib
注意：直接用https://hadoop-gpl-compression.apache-extras.org.codespot.com/files/hadoop-gpl-compression-0.1.0-rc0.tar.gz会出现中途冲突问题，所以，建议重新编译。