ubuntu下安装protobuf

1.下载protobuf

下载地址：http://code.google.com/p/protobuf/downloads/list

2.编译protobuf
解压下载的zip包，cd到protobuf的目录下，执行以下指令：

./configuremakemake checkmake install

3.检查安装是否成功
protoc –version
如果成功，则会输出版本号信息，例如：libprotoc 2.5.0
如果有问题，则会输出错误内容。

4.错误及解决方法
protoc: error while loading shared libraries: libprotoc.so.8: cannot open shared
错误原因：
protobuf的默认安装路径是/usr/local/lib，而/usr/local/lib 不在Ubuntu体系默认的 LD_LIBRARY_PATH 里，所以就找不到该lib
解决方法：
1. 创建文件 /etc/ld.so.conf.d/libprotobuf.conf 包含内容：

 /usr/local/lib  

1. 输入命令
   sudo ldconfig

这时，再运行protoc –version 就可以正常看到版本号了

转载 http://blog.csdn.net/xocoder/article/details/9155901

lzo

sudo apt-get install liblzo2-devsudo apt-get install lzop

（5）安装Hadoop-LZO

当然的还有一个前提，就是配置好maven和svn 或者Git（我使用的是SVN），这个就不说了，如果这些搞不定，其实也不必要进行下去了！

我这里使用https://github.com/twitter/hadoop-lzo

使用SVN从https://github.com/twitter/hadoop-lzo/trunk下载代码，修改pom.xml文件中的一部分。

从：

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<properties>    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>    <hadoop.current.version>2.1.0-beta</hadoop.current.version>    <hadoop.old.version>1.0.4</hadoop.old.version>  </properties>  

修改为：

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<properties>      <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>      <hadoop.current.version>2.2.0</hadoop.current.version>      <hadoop.old.version>1.0.4</hadoop.old.version>    </properties>  

再依次执行:

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mvn clean package -Dmaven.test.skip=true    tar -cBf - -C target/native/Linux-amd64-64/lib . | tar -xBvf - -C /home/hadoop/hadoop-2.2.0/lib/native/     cp target/hadoop-lzo-0.4.20-SNAPSHOT.jar /home/hadoop/hadoop-2.2.0/share/hadoop/common/  

接下来就是将/home/hadoop/hadoop-2.2.0/share/hadoop/common/hadoop-lzo-0.4.20-SNAPSHOT.jar以及/home/hadoop/hadoop-2.2.0/lib/native/ 同步到其它所有的hadoop节点。注意，要保证目录/home/hadoop/hadoop-2.2.0/lib/native/ 下的jar包，你运行hadoop的用户都有执行权限。

（6）配置Hadoop

在文件$HADOOP_HOME/etc/hadoop/hadoop-env.sh中追加如下内容：

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export LD_LIBRARY_PATH=/usr/local/hadoop/lzo/lib  

在文件$HADOOP_HOME/etc/hadoop/core-site.xml中追加如下内容：

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<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>  

在文件$HADOOP_HOME/etc/hadoop/mapred-site.xml中追加如下内容：

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<property>        <name>mapred.compress.map.output</name>        <value>true</value>    </property>    <property>        <name>mapred.map.output.compression.codec</name>        <value>com.hadoop.compression.lzo.LzoCodec</value>    </property>    <property>        <name>mapred.child.env</name>      <value>LD_LIBRARY_PATH=/usr/local/hadoop/lzo/lib</value>    </property>   

（7）在Hive中体验lzo

A：首先创建nginx_lzo的表

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CREATE TABLE logs_app_nginx (  ip STRING,  user STRING,  time STRING,  request STRING,  status STRING,  size STRING,  rt STRING,  referer STRING,  agent STRING,  forwarded String  )   partitioned by (  date string,  host string  )  row format delimited   fields terminated by '\t'  STORED AS INPUTFORMAT "com.hadoop.mapred.DeprecatedLzoTextInputFormat"    OUTPUTFORMAT "org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat";   

B：导入数据

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LOAD DATA Local INPATH '/home/hadoop/data/access_20131230_25.log.lzo' INTO TABLE logs_app_nginx PARTITION(date=20131229,host=25);  

/home/hadoop/data/access_20131219.log文件的格式如下:

221.207.93.109 - [23/Dec/2013:23:22:38 +0800] “GET /ClientGetResourceDetail.action?id=318880&token=Ocm HTTP/1.1” 200 199 0.008 “xxx.com” “Android4.1.2/LENOVO/Lenovo A706/ch_lenovo/80” “-“

直接采用lzop /home/hadoop/data/access_20131219.log即可生成lzo格式压缩文件/home/hadoop/data/access_20131219.log.lzo

C：索引LZO文件
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$HADOOP_HOME/bin/hadoop jar /home/hadoop/hadoop-2.2.0/share/hadoop/common/hadoop-lzo-0.4.20-SNAPSHOT.jar com.hadoop.compression.lzo.DistributedLzoIndexer /user/hive/warehouse/<span style="font-family: Arial, Helvetica, sans-serif;">logs_app_nginx</span>  

D：开始跑利用hive来跑map/reduce任务了

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set hive.exec.reducers.max=10;   set mapred.reduce.tasks=10;  select ip,rt from nginx_lzo limit 10;  

在hive的控制台能看到类似如下格式输出，就表示正确了!

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hive> set hive.exec.reducers.max=10;   hive> set mapred.reduce.tasks=10;  hive> select ip,rt from nginx_lzo limit 10;  Total MapReduce jobs = 1  Launching Job 1 out of 1  Number of reduce tasks is set to 0 since there's no reduce operator  Starting Job = job_1388065803340_0009, Tracking URL = http://lrts216:8088/proxy/application_1388065803340_0009/  Kill Command = /home/hadoop/hadoop-2.2.0/bin/hadoop job  -kill job_1388065803340_0009  Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 0  2013-12-27 09:13:39,163 Stage-1 map = 0%,  reduce = 0%  2013-12-27 09:13:45,343 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 1.22 sec  2013-12-27 09:13:46,369 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 1.22 sec  MapReduce Total cumulative CPU time: 1 seconds 220 msec  Ended Job = job_1388065803340_0009  MapReduce Jobs Launched:   Job 0: Map: 1   Cumulative CPU: 1.22 sec   HDFS Read: 63570 HDFS Write: 315 SUCCESS  Total MapReduce CPU Time Spent: 1 seconds 220 msec  OK  221.207.93.109  "XXX.com"  Time taken: 17.498 seconds, Fetched: 10 row(s)