Hive安装

1. 安装Mysql 数据库
        数据库的安装顺序
             (1)Mysql-server
             (2)mysql-client
             (3)启动mysql服务
             (4)用root用户登录，以授权方式创建hive元数据库，和hive用户
        grant all on hive.* to 'hive'@'%' identified by 'hive';  这个hive数据库，及其 用户和密码，是后面配置hive要用到的 ！！！
   备注：Red Hat linux 下的mysql 安装 可参考 http://blog.itpub.net/28929558/viewspace-1192693/
   
   

2、/etc/profile

  

HADOOP_PREFIX=/opt/hadoop
JAVA_HOME=/opt/jdk18
ZOOKEEPER_HOME=/opt/zookeeper
HBASE_HOME=/opt/hbase
HIVE_HOME=/opt/hive

PATH=$PATH:$JAVA_HOME/bin:$HADOOP_PREFIX/bin:$HADOOP_PREFIX/sbin:$ZOOKEEPER_HOME/bin:$HBASE_HOME/bin:$HIVE_HOME/bin

3、修改$HIVE_HOME/conf 下面配置文件(将需要配置的两个模板，拷贝重命名)

点击(此处)折叠或打开

cp hive-env.sh.template hive-env.sh
 cp hive-default.xml.template hive-site.xml

4、配置hive-env.sh 文件，指定 HADOOP_HOME

点击(此处)折叠或打开

# Set HADOOP_HOME to point to a specific hadoop install directory
 HADOOP_HOME=/opt/hadoop

5、配置 hive-site.xml，指定MySQL数据库驱动、数据库名、用户名及密码，
修改的内容如下所示：

    

<property>
   <name>javax.jdo.option.ConnectionURL</name>
   <value>jdbc:mysql://localhost:3306/hive?createDatabaseIfNotExist=true</value>
   <description>JDBC connect string for a JDBC metastore</description>
</property>


<property>
   <name>javax.jdo.option.ConnectionDriverName</name>
   <value>com.mysql.jdbc.Driver</value>
   <description>Driver class name for a JDBC metastore</description>
</property>


<property>
   <name>javax.jdo.option.ConnectionUserName</name>
   <value>hive</value>
   <description>username to use against metastore database</description>
</property>


<property>
   <name>javax.jdo.option.ConnectionPassword</name>
   <value>hive</value>
   <description>password to use against metastore database</description>
</property>

<property>
   <name>hive.metastore.local</name>
   <value>true</value>
   <description></description>
</property>

以上几个配置项，跟0.11.0版本没有区别，但是下面几个要注意配置下：
在hive下创建临时IO的tmp文件夹。然后将路径配置到下列参数中

    

<property>
     <name>hive.querylog.location</name>
     <value>/home/zhang/hive/iotmp</value>
     <description>Location of Hive run time structured log file</description>
   </property>

   <property>
     <name>hive.exec.local.scratchdir</name>
     <value>/home/zhang/hive/iotmp</value>
     <description>Local scratch space for Hive jobs</description>
   </property>

   <property>
     <name>hive.downloaded.resources.dir</name>
     <value>/home/zhang/hive/iotmp</value>
     <description>Temporary local directory for added resources in the remote file system.</description>
   </property>

备注如果不配置启动或操作hive时候会报错

载 mysql-connector-java-5.1.34-bin.jar 文件，并放到$HIVE_HOME/lib目录下 （到官网自行下载即可）
如果没有此jar包，启动hive会报如下错误：

    

Caused by: org.datanucleus.store.rdbms.connectionpool.DatastoreDriverNotFoundException: The specified datastore driver (\"com.mysql.jdbc.Driver\") was not found in the CLASSPATH. Please check your CLASSPATH specification, and the name of the driver.
 at org.datanucleus.store.rdbms.connectionpool.AbstractConnectionPoolFactory.loadDriver(AbstractConnectionPoolFactory.java:58)
 at org.datanucleus.store.rdbms.connectionpool.BoneCPConnectionPoolFactory.createConnectionPool(BoneCPConnectionPoolFactory.java:54)
 at org.datanucleus.store.rdbms.ConnectionFactoryImpl.generateDataSources(ConnectionFactoryImpl.java:238)
 ... 66 more

至此，部署完毕，可以启动，测试下：
看到如下结果，说明启动成功

    

[zhang@namenode ~]$ hive
 14/12/17 18:48:22 WARN conf.HiveConf: DEPRECATED: Configuration property hive.metastore.local no longer has any effect. Make sure to provide a valid value for hive.metastore.uris if you are connecting to a remote metastore.
 14/12/17 18:48:22 WARN conf.HiveConf: HiveConf of name hive.metastore.local does not exist

 Logging initialized using configuration in jar:file:/home/zhang/hive/lib/hive-common-0.14.0.jar!/hive-log4j.properties
 SLF4J: Class path contains multiple SLF4J bindings.
 SLF4J: Found binding in [jar:file:/home/zhang/hadoop-2.5.2/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
 SLF4J: Found binding in [jar:file:/home/zhang/hive/lib/hive-jdbc-0.14.0-standalone.jar!/org/slf4j/impl/StaticLoggerBinder.class]
 SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
 SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
 hive> show tables;
 OK
 Time taken: 0.924 seconds
 hive> show databases;
 OK
 default
 Time taken: 0.051 seconds, Fetched: 1 row(s)

创建表测试：如果这部分没有报错，那么去检查HDFS下面是否生成了相关文件

    

hive> create table test(t_id int,t_name string) row format delimited fields terminated by \'|\' stored as textfile;
 OK
 Time taken: 1.586 seconds
 hive> show tables;
 OK
 test
 Time taken: 0.078 seconds, Fetched: 1 row(s)
 hive> select * from test;
 OK
 Time taken: 0.599 seconds

检查HDFS是否生成相关文件：

     

[zhang@datanode01 ~]$ hdfs dfs -ls /
 14/12/17 18:55:05 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
 Found 3 items
 drwxr-xr-x   - zhang supergroup          0 2014-12-16 02:21 /input
 drwx-wx-wx   - zhang supergroup          0 2014-12-17 01:25 /tmp
 drwxr-xr-x   - zhang supergroup          0 2014-12-17 18:54 /user
 [zhang@datanode01 ~]$ hdfs dfs -ls /user/
 14/12/17 18:55:20 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
 Found 1 items
 drwxr-xr-x   - zhang supergroup          0 2014-12-17 18:54 /user/hive
 [zhang@datanode01 ~]$ hdfs dfs -ls /user/hive/
 14/12/17 18:55:27 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
 Found 1 items
 drwxr-xr-x   - zhang supergroup          0 2014-12-17 18:54 /user/hive/warehouse
 [zhang@datanode01 ~]$ hdfs dfs -ls /user/hive/warehouse/
 14/12/17 18:55:34 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
 Found 1 items
 drwxr-xr-x   - zhang supergroup          0 2014-12-17 18:54 /user/hive/warehouse/test

文件生成，至此验证完毕

参考：

http://www.linuxidc.com/Linux/2014-08/105363.htm

http://www.2cto.com/database/201305/215701.html

http://blog.chinaunix.net/uid-77311-id-4580099.html