压缩软件Snappy的安装详解大数据

1、下载源码，通过编译源码安装

　 tar -zxvf  /home/zfll/soft/snappy-1.1.2.tar.gz

    cd snappy-1.1.2

　 ./configure

    make

　sudo make install（输入root的密码）
2、安装hadoop-snappy包

   解压 unzip /home/zfll/soft/hadoop-snappy-master.zip

   编译 cd hadoop-snappy-master/ 

         mvn clean package -Dmaven.test.skip=true

编译后把本地库文件和jar包（编译后可能已经打在一个压缩包里，需要先解压）拷贝到相应的目录

      cd /home/zfll/hadoop-snappy-master/target

      tar -zxvf hadoop-snappy-0.0.1-SNAPSHOT.tar.gz

      cp -r hadoop-snappy-0.0.1-SNAPSHOT/lib/* $HADOOP_HOME/lib

      cp hadoop-snappy-0.0.1-SNAPSHOT.jar $HADOOP_HOME/lib
Snappy 0.0.1-SNAPSHOT/目录包含本地库和hadoop-snappy-0.0.1-SNAPSHOT.jar包，都需要拷贝到相应的目录。

3、配置hadoop-env.sh 添加：

       cd  /home/zfll/hadoop/etc/hadoop

       vi  hadoop-env.sh

　　 export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HADOOP_HOME/lib/native/Linux-amd64-64/:/usr/local/lib/

4、配置mapred-site.xml 增加

    cd  /home/zfll/hadoop/etc/hadoop

    vi mapred-site.xml

<property> 
      <name>mapred.compress.map.output</name> 
      <value>true</value> 
 </property> 
 <property> 
       <name>mapred.map.output.compression.codec</name> 
       <value>org.apache.hadoop.io.compress.SnappyCodec</value> 
  </property>

   vi  core-site.xml

<property> 
        <name>io.compression.codecs</name> 
        <value>org.apache.hadoop.io.compress.GzipCodec,org.apache.hadoop.io.compress.DefaultCodec,org.apache.hadoop.io.compress.BZip2Codec,org.apache.hadoop.io.compress.SnappyCodec</value> 
</property>   

注意以上文件，每个节点都要修改增加

6、Hbase配置Snappy

   1)、cd /home/zfll/hbase/lib

       mkdir -p native/Linux-amd64-64

       cp -r $HADOOP_HOME/lib/native/Linux-amd64-64/*   $HBASE_HOME/lib/native/Linux-amd64-64/

   2)、配置hbase环境变量

       cd  /home/zfll/hbase/conf

       vi  hbase-env.sh

      　　 export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HADOOP_HOME/lib/native/Linux-amd64-64/:/usr/local/lib/

       　　export HBASE_LIBRARY_PATH=$HBASE_LIBRARY_PATH :$HBASE_HOME/lib/native/Linux-amd64-64/:/usr/local/lib/

       vi hbase-site.xml 保证启动以snappy方式启动    

<property>   
      <name>hbase.regionserver.codecs</name>   
      <value>snappy</value>   
 </property>

3)、重启hadoop和hbase

       在server1-hadoop-namenode-01上stop-dfs.sh stop-yarn.sh

            stop-hbase.sh

            start-dfs.sh start-yarn.sh

            hbase-daemon.sh start master

       在server2-hadoop-namenode-02上启动备用进程：

             yarn-daemon.sh stop resourcemanager

             yarn-daemon.sh start resourcemanager

             hbase-daemon.sh start master

       在安装hbase接点上分别启动hbase的regionserver

             hbase-daemon.sh start regionserver

   4)、验证Hbase配置是否成功(在server1-hadoop-namenode-01上操作)

        接下来创建并操作Snappy压缩格式的表

    1、hbase shell

    2、create ‘tsnappy’, { NAME => ‘f’, COMPRESSION => ‘snappy’}

    3、describe ‘tsnappy’

    4、put ‘tsnappy’, ‘row1’, ‘f:col1’, ‘value’

    5、scan ‘tsnappy’