Hive只在一個節點上安裝即可

1.上傳tar包

2.解壓

[[email protected] ~]$ tar -zxvf apache-hive-1.2.1-bin.tar.gz -C apps/

3.安裝mysql來作為元資訊資料庫，替換預設derby資料庫

mysql -uroot -p
1.設定root的密碼為root
2.刪除匿名使用者
3.允許使用者遠端連線
    #(執行下面的語句  *.*:所有庫下的所有表   %：任何IP地址或主機都可以連線)
    mysql> grant all privileges on *.* to [email protected]
 
'%' identified by 'root’;
    mysql> flush privileges;

4.配置hive     （a）配置環境變數  HIVE_HOME  和  HADOOP_HOME

/etc/profile 中配置HIVE_HOME
export HIVE_HOME=/home/hadoop/apps/hive-1.2.1
export PATH=$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH:$HIVE_HOME/bin

vconf/hive-env.shzh 中配置HADOOP_HOME
[[email protected]
 
 ~]$ cd apps/hive-1.2.1/conf/
[[email protected] conf]$ cp hive-env.sh.template  hive-env.sh
[[email protected] conf]$ vi  hive-env.sh
# Set HADOOP_HOME to point to a specific hadoop install directory
HADOOP_HOME=/home/hadoop/apps/hadoop-2.6.4/

    （b）配置元資料庫資訊   vi  hive-site.xml 

 新增如下內容：
<configuration>
<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>root</value>
<description>username to use against metastore database</description>
</property>

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

5.安裝hive和mysq完成後，將mysql的連線jar包拷貝到$HIVE_HOME/lib目錄下

[[email protected] ~]$ mv mysql-connector-java-5.1.28.jar apps/hive-1.2.1/lib/

6. Jline包版本不一致的問題，需要拷貝hive的lib目錄中jline.2.12.jar的jar包替換掉hadoop中的 

[[email protected] ~]$ rm ~/apps/hadoop-2.6.4/share/hadoop/yarn/lib/jline-0.9.94.jar
[[email protected] ~]$ cd apps/hive-1.2.1/lib/
[[email protected] lib]$ cp jline-2.12.jar ~/apps/hadoop-2.6.4/share/hadoop/yarn/lib/

啟動hive

[[email protected] ~]$ apps/hive-1.2.1/bin/hive

----------------------------------------------------------------------------------------------------      7.建表(預設是內部表)     create table trade_detail(id bigint, account string, income double, expenses double, time string) row format delimited fields terminated by '\t';     建分割槽表     create table td_part(id bigint, account string, income double, expenses double, time string) partitioned by (logdate string) row format delimited fields terminated by '\t';     建外部表     create external table td_ext(id bigint, account string, income double, expenses double, time string) row format delimited fields terminated by '\t' location '/td_ext';

8.建立分割槽表     普通表和分割槽表區別：有大量資料增加的需要建分割槽表     create table book (id bigint, name string) partitioned by (pubdate string) row format delimited fields terminated by '\t'; 

    分割槽表載入資料     load data local inpath './book.txt' overwrite into table book partition (pubdate='2010-08-22');          load data local inpath '/root/data.am' into table beauty partition (nation="USA");

         select nation, avg(size) from beauties group by nation order by avg(size);