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基于Mysql的Hive0.13单机安装

时间:2015-03-02 19:02:08      阅读:248      评论:0      收藏:0      [点我收藏+]

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一,安装环境 
硬件:虚拟机 
操作系统:Centos 6.4 64位 
IP:10.51.121.10 
主机名:datanode-4 
安装用户:root 
Hadoop:Hadoop2.6,Hadoop2.6的单机安装请见:http://www.cnblogs.com/zouzhongfan/p/4309405.html

二,安装Mysql 
1,到http://dev.mysql.com/downloads/repo/yum/ 
下载mysql-community-release-el6-5.noarch.rpm 
2, 增加mysql的Yum Repository,执行:

#yum localinstall mysql-community-release-el6-5.noarch.rpm

3,安装,#yum install mysql-community-server 
4,启动mysql服务,执行:#service mysqld start

# service mysqld
Usage: /etc/init.d/mysqld {start|stop|status|restart|condrestart|try-restart|reload|force-reload}

5,查看启动状态

# service mysqld status
mysqld (pid  55977) is running...

6,修改root用户密码

#mysql -u root
mysql>use mysql;
mysql>update user set password = password(‘root‘) where user = ‘root‘;
mysql>flush privileges;

7,设置hive用户

#mysql -uroot -proot
mysql>create user ‘hive‘ identified by ‘hive‘;
mysql>grant all on *.* TO ‘hive‘@‘%‘ with grant option;
mysql>flush privileges;

8,新建hive_metastore数据库

#mysql -uhive -phive
mysql>create database hive_metastore;
mysql>show databases;
+--------------------+
| Database           |
+--------------------+
| information_schema |
| hive_metastore     |
| mysql              |
| performance_schema |
+--------------------+
4 rows in set (0.48 sec)

三,Hive安装 
1,到http://mirror.bit.edu.cn/apache/hive/hive-0.13.1/apache-hive-0.13.1-bin.tar.gz 下载hive0.13。 
2,解压,# tar -zxvf apache-hive-0.13.1-bin.tar.gz 
这里解压到/root/hadoop目录, 
则Hive的安装路径为:/root/hadoop/apache-hive-0.13.1-bin 
3,配置~/.bash_profile环境变量 
1)在~/.bash_profile添加如下配置:

export HIVE_HOME=/root/hadoop/apache-hive-0.13.1-bin
export PATH=$JAVA_HOME/bin$HADOOP_HOME/bin:$HIVE_HOME/bin:$PATH

2)使环境变量生效,# source ~/.bash_profile

4,设置hive-env.sh配置文件 
进入/root/hadoop/apache-hive-0.13.1-bin/conf目录,执行如下命令:

# cp hive-env.sh.template hive-env.sh
# vi hive-env.sh
export HADOOP_HOME=/root/hadoop/hadoop-2.6.0
export HIVE_CONF_DIR=/root/hadoop/apache-hive-0.13.1-bin/conf

5,设置hive-site.xml配置文件 
1),执行,# cp hive-default.xml.template hive-site.xml 
2),编辑hive-site.xml文件,# vi hive-site.xml 
hive默认为derby数据库,需要把相关信息调整为mysql数据库,修改的配置信息如下:

<property>
   <name>hive.metastore.uris</name>
    <value>thrift://datanode-4:9083</value>
    <description>Thrift URI for theremote metastore. Used by metastore client to connect to remotemetastore.</description>
  </property>
<property>
   <name>javax.jdo.option.ConnectionURL</name>
    <value>jdbc:mysql://10.51.121.10:3306/hive_metastore?createDatabaseIfNotExist=true</value>
    <description>JDBC connect string fora JDBC metastore</description>
</property>
<property>
 <name>javax.jdo.option.ConnectionDriverName</name>
  <value>com.mysql.jdbc.Driver</value>
  <description>Driver class name for aJDBC metastore</description>
</property>
<property>
  <name>javax.jdo.option.ConnectionUserName</name>
  <value>hive</value>
  <description>username to use againstmetastore database</description>
</property>
<property>
 <name>javax.jdo.option.ConnectionPassword</name>
  <value>hive</value>
  <description>password to use againstmetastore database</description>
</property>

6,下载mysql的JDBC驱动,并放到Hive安装路径下的lib目录下。 
这里下载的mysql驱动为:mysql-connector-java-5.1.34-bin.jar,并放在/root/hadoop/apache-hive-0.13.1-bin/lib目录下。因为Hive需要通过JDBC连接Mysql数据库。

7,启动metastore和hiveserver2,其中matestore服务是Hive连接Mysql的metastore数据库用,hiveserver2服务是通过JDBC访问Hive用,JDBC的默认端口是:10000

#hive --service metastore &   
#hive --service hiveserver2 &  

8,安装验证 
执行jps命令,可以看到有两个RunJar服务进程

# jps
38907 RunJar
39030 RunJar
54679 NameNode
54774 DataNode
55214 NodeManager
55118 ResourceManager
16150 Jps
54965 SecondaryNameNode

执行#ps -ef |grep RunJar 可以看到如下进程:

# ps -ef |grep RunJar
root     16165 21232  0 05:56 pts/2    00:00:00 grep RunJar
root     38907 37136  0 Jan21 pts/1    00:01:45 /usr/lib/jdk1.6.0_45/bin/java -Xmx256m -Djava.net.preferIPv4Stack=true -......org.apache.hadoop.util.RunJar /root/hadoop/apache-hive-0.13.1-bin/lib/hive-service-0.13.1.jar org.apache.hadoop.hive.metastore.HiveMetaStore
root     39030 37136  0 Jan21 pts/1    00:01:11 /usr/lib/jdk1.6.0_45/bin/java -Xmx256m -Djava.net.preferIPv4Stack=true -......org.apache.hadoop.util.RunJar /root/hadoop/apache-hive-0.13.1-bin/lib/hive-service-0.13.1.jar org.apache.hive.service.server.HiveServer2

四,常见错误 
1,执行#hive命令进入Hive CLI时报如下错误:

Exception in thread "main" java.lang.RuntimeException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
        at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:444)
        at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:672)
        at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:616)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
        at java.lang.reflect.Method.invoke(Method.java:597)
        at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
        at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
Caused by: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient

原因:因为没有正常启动Hive 的 Metastore Server服务进程。 
解决方法:启动Hive 的 Metastore Server服务进程,执行如下命令:

# hive --service metastore &
[1] 52460
Starting Hive Metastore Server
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/root/hadoop/hadoop-2.6.0/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/root/hadoop/apache-hive-0.14.0-bin/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]

2,执行#hive命令进入Hive CLI时报如下错误:

FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask. MetaException(message:javax.jdo.JDODataStoreException: You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ‘OPTION SQL_SELECT_LIMIT=DEFAULT‘ at line 1
        at org.datanucleus.api.jdo.NucleusJDOHelper.getJDOExceptionForNucleusException(NucleusJDOHelper.java:451)
        at org.datanucleus.api.jdo.JDOPersistenceManager.getDataStoreConnection(JDOPersistenceManager.java:2259)
        at org.apache.hadoop.hive.metastore.MetaStoreDirectSql.trySetAnsiQuotesForMysql(MetaStoreDirectSql.java:166)

原因:可能是因为Hive连接Mysql的JDBC驱动版本有问题。Mysql版本是5.6.23,用的JDBC驱动是mysql-connector-java-5.0.3-bin.jar。 
解决方法:把mysql-connector-java-5.0.3-bin.jar换成mysql-connector-java-5.1.34-bin.jar,问题解决。

基于Mysql的Hive0.13单机安装

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原文地址:http://www.cnblogs.com/zouzhongfan/p/4309432.html

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