Hadoop Hive安装手记

hadoop hive hive是基于Hadoop的一个数据仓库工具,可以将结构化的数据文件映射为一张数据库表,并提供完整的sql查询功能,可以将sql语句转换为 MapReduce任务进行运行。 其优点是学习成本低,可以通过类SQL语句快速实现简单的MapReduce统计,不必开发专门的MapReduce应用,十分适合数据仓库的统计分析。

[网络环境设置] vim /etc/hosts

192.168.100.52 hadoop1
192.168.99.34 hadoop2
192.168.103.135 hadoop3

分别到对应机器执行:

hostname hadoop1
hostname hadoop2
hostname hadoop3

[打通机器]

hadoop1# ssh-keygen -t dsa -P '' -f ~/.ssh/id_dsa
hadoop1# scp ~/.ssh/id_dsa.pub hadoop2:/root/
hadoop1# scp ~/.ssh/id_dsa.pub hadoop3:/root/
hadoop2# cat id_dsa.pub >> ~/.ssh/authorized_keys
hadoop3# cat id_dsa.pub >> ~/.ssh/authorized_keys

验证:从hadoop1登录到hadoop2和hadoop3,不再需要密码。

[安装hadoop] 确保所有机器有 ssh rsync jdk
确保设置了:
export JAVA_HOME=/opt/soft/jdk

hive在0.20.x的hadoop做了大量的测试,因此选择0.20

cd /opt/soft/
wget http://mirror.bjtu.edu.cn/apache/hadoop/core/hadoop-0.20.2/hadoop-0.20.2.tar.gz
tar -zxvf hadoop-0.20.2.tar.gz
cd hadoop-0.20.2/
vim .bashrc
export HADOOP_HOME=/opt/soft/hadoop-0.20.2

(重复以上操作到另外两机器)

[配置hadoop] vim conf/core-site.xml
修改:

<configuration>
<property>
<!-- 用于dfs命令模块中指定默认的文件系统协议 -->
<name>fs.default.name</name>
<value>hdfs://hadoop1:9000</value>
</property>
</configuration>

vim conf/hdfs-site.xml
修改:

<configuration>
<property>
<!-- DFS中存储文件命名空间信息的目录 -->
<name>dfs.name.dir</name>
<value>/opt/hadoop/data/dfs.name.dir</value>
</property>
<property>
<!-- DFS中存储文件数据的目录 -->
<name>dfs.data.dir</name>
<value>/opt/hadoop/data/dfs.data.dir</value>
</property>
<property>
<!-- 是否对DFS中的文件进行权限控制(测试中一般用false)-->
<name>dfs.permissions</name>
<value>false</value>
</property>
</configuration>

vim conf/mapred-site.xml
修改:

<configuration>
<property>
<!-- 用来作JobTracker的节点的(一般与NameNode保持一致) -->
<name>mapred.job.tracker</name>
<value>hadoop1:9001</value>
</property>
<property>
<!-- map/reduce的系统目录(使用的HDFS的路径) -->
<name>mapred.system.dir</name>
<value>/opt/hadoop/system/mapred.system.dir</value>
</property>
<property>
<!-- map/reduce的临时目录(可使用“,”隔开,设置多重路径来分摊磁盘IO) -->
<name>mapred.local.dir</name>
<value>/opt/hadoop/data/mapred.local.dir</value>
</property>
</configuration>

vim masters

hadoop1
vim slaves

hadoop2
hadoop3

scp conf/* hadoop2:/opt/soft/hadoop-0.20.2/conf/
scp conf/* hadoop3:/opt/soft/hadoop-0.20.2/conf/

[初始化]

cd $HADOOP_HOME/bin
./hadoop namenode -format

启动
./start-all.sh

[验证] $HADOOP_HOME/bin/hadoop dfs -ls /
打开 http://192.168.100.52:50030
http://192.168.100.52:50070

[搭建hive集群] 下载
只需要在hadoop1机器上安装

cd /opt/soft/hadoop-0.20.2
wget http://mirror.bjtu.edu.cn/apache/hive/hive-0.7.0/hive-0.7.0.tar.gz
tar zxvf hive-0.7.0.tar.gz
cd hive-0.7.0
vim ~/.bashrc
export HIVE_HOME=/opt/soft/hadoop-0.20.2/hive-0.7.0

$HIVE_HOME/bin/hive
>create table tt(id int,name string) row format delimited fields terminated by ',' collection items terminated by "\n" stored as textfile;
>select * from tt;
>drop table tt;

试玩结束。

[配置hive] 准备mysql:hadoop1 user:hadoop pwd:hadoop

>create database hive
>GRANT all ON hive.* TO hadoop@% IDENTIFIED BY 'hadoop';
>FLUSH PRIVILEGES ;

vim $HIVE_HOME/conf/hive-site.xml

<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>hive.metastore.local</name>
<value>true</value>
</property>

<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://hadoop1:3306/hive?createDatabaseIfNotExist=true</value>
</property>

<property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
</property>

<property>
<name>javax.jdo.option.ConnectionUserName</name>
<value>hadoop</value>
</property>

<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>hadoop</value>
</property>
</configuration>

[启动] 复制一个mysql-connector-java-5.1.10.jar到hive/lib下后:

$HIVE_HOME/bin/hive
>create table tt(id int,name string) row format delimited fields terminated by ',' collection items terminated by "\n" stored as textfile;

如果报如下错:

FAILED: Error in metadata: javax.jdo.JDOException: Couldnt obtain a new sequence (unique id) : Binary logging not possible. Message: Transaction level 'READ-COMMITTED' in InnoDB is not safe for binlog mode 'STATEMENT'

退出hive后,以root进入mysql执行:

>set global binlog_format='MIXED';

这是mysql的一个bug。

安装结束。


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