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Hadoop集群之Hive安装配置
2018-12-02 17:28:08 【大 中 小】 浏览:69次
Tags：Hadoop 集群 Hive 安装 配置

Hadoop集群之Hive安装配置

转自：Hadoop集群之Hive安装配置

Hive是基于Hadoop构建的一套数据仓库分析系统，它提供了丰富的SQL查询方式来分析存储在Hadoop 分布式文件系统中的数据。其在Hadoop的架构体系中承担了一个SQL解析的过程，它提供了对外的入口来获取用户的指令然后对指令进行分析，解析出一个MapReduce程序组成可执行计划，并按照该计划生成对应的MapReduce任务提交给Hadoop集群处理，获取最终的结果。元数据——如表模式——存储在名为metastore的数据库中。

系统环境

192.168.186.128 hadoop-master
192.168.186.129 hadoop-slave
MySQL安装在master机器上，hive服务器也安装在master上
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Hive下载

下载源码包，最新版本可自行去官网下载

[hadoop@hadoop-master ~]$ wget http://mirrors.cnnic.cn/apache/hive/hive-1.2.1/apache-hive-1.2.1-bin.tar.gz
[hadoop@hadoop-master ~]$ tar -zxf apache-hive-1.2.1-bin.tar.gz 
[hadoop@hadoop-master ~]$ ls
apache-hive-1.2.1-bin  apache-hive-1.2.1-bin.tar.gz  dfs  hadoop-2.7.1  Hsource  tmp
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配置环境变量

[root@hadoop-master hadoop]# vi /etc/profile
HIVE_HOME=/home/hadoop/apache-hive-1.2.1-bin
PATH=$PATH:$HIVE_HOME/bin
export HIVE_NAME PATH
[root@hadoop-master hadoop]# source /etc/profile
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Metastore

metastore是Hive元数据集中存放地。它包括两部分：服务和后台数据存储。有三种方式配置metastore：内嵌metastore、本地metastore以及远程metastore。
本次搭建中采用MySQL作为远程仓库，部署在hadoop-master节点上，hive服务端也安装在hive-master上，hive客户端即hadoop-slave访问hive服务器。

MySQL安装

安装依赖包

# yum install gcc gcc-c++ ncurses-devel  -y
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安装cmake

# wget http://www.cmake.org/files/v2.8/cmake-2.8.12.tar.gz
# tar zxvf cmake-2.8.12.tar.gz
# cd cmake-2.8.12
# ./bootstrap 
# make && make install
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创建用户的相应目录

# groupadd mysql
# useradd -g mysql mysql
# mkdir -p /data/mysql/
# mkdir -p /data/mysql/data/
# mkdir -p /data/mysql/log/
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获取MySQL安装包并安装

# wget http://dev.mysql.com/get/downloads/mysql/mysql-5.6.25.tar.gz
# tar zxvf mysql-5.6.25.tar.gz
# cd mysql-5.6.25
# cmake \
-DCMAKE_INSTALL_PREFIX=/data/mysql \
-DMYSQL_UNIX_ADDR=/data/mysql/mysql.sock \
-DDEFAULT_CHARSET=utf8 \
-DDEFAULT_COLLATION=utf8_general_ci \
-DWITH_INNOBASE_STORAGE_ENGINE=1 \
-DWITH_ARCHIVE_STORAGE_ENGINE=1 \
-DWITH_BLACKHOLE_STORAGE_ENGINE=1 \
-DMYSQL_DATADIR=/data/mysql/data \
-DMYSQL_TCP_PORT=3306 \
-DENABLE_DOWNLOADS=1
如果报错找不到CMakeCache.txt则说明没安装ncurses-devel

# make && make install
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修改目录权限

# chmod +w /data/mysql/
# chown -R mysql:mysql /data/mysql/
# ln -s /data/mysql/lib/libmysqlclient.so.18 /usr/lib/libmysqlclient.so.18
# ln -s /data/mysql/mysql.sock /tmp/mysql.sock
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初始化数据库

# cp /data/mysql/support-files/my-default.cnf /etc/my.cnf
# cp /data/mysql/support-files/mysql.server /etc/init.d/mysqld
# /data/mysql/scripts/mysql_install_db --user=mysql --defaults-file=/etc/my.cnf --basedir=/data/mysql --datadir=/data/mysql/data
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启动MySQL服务

# chmod +x /etc/init.d/mysqld
# service mysqld start
#ln –s /data/mysql/bin/mysql /usr/bin/
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初始化密码

#mysql -uroot  -h127.0.0.1 -p
mysql> SET PASSWORD = PASSWORD('123456');
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创建Hive用户

mysql>CREATE USER 'hive' IDENTIFIED BY 'hive';
mysql>GRANT ALL PRIVILEGES ON *.* TO 'hive'@'hadoop-master' WITH GRANT OPTION;
mysql>flush privileges;
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Hive用户登录

[hadoop@hadoop-master ~]mysql -h hadoop-master -uhive
mysql>set password = password('hive');
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创建Hive数据库

mysql>create database hive;
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配置Hive

修改配置文件
进入到hive的配置文件目录下，找到hive-default.xml.template，cp份为hive-default.xml
另创建hive-site.xml并添加参数

[hadoop@hadoop-master conf]$ pwd
/home/hadoop/apache-hive-1.2.1-bin/conf
[hadoop@hadoop-master conf]$ vi hive-site.xml
<configuration>
    <property>
        <name>javax.jdo.option.ConnectionURL</name>
        <value>jdbc:mysql://hadoop-master:3306/hivecreateDatabaseIfNotExist=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>          
</configuration>
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JDBC下载

[hadoop@hadoop-master ~]$ wget http://cdn.mysql.com/Downloads/Connector-J/mysql-connector-java-5.1.36.tar.gz
[hadoop@hadoop-master ~]$ ls
apache-hive-1.2.1-bin  dfs  hadoop-2.7.1  Hsource  tmp
[hadoop@hadoop-master ~]$ cp mysql-connector-java-5.1.33-bin.jar apache-hive-1.2.1-bin/lib/
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Hive客户端配置

[hadoop@hadoop-master ~]$ scp -r apache-hive-1.2.1-bin/ hadoop@hadoop-slave:/home/hadoop
[hadoop@hadoop-slave conf]$ vi hive-site.xml
<configuration>
    <property>  
        <name>hive.metastore.uris</name>  
    <value>thrift://hadoop-master:9083</value>  
    </property>
</configuration>
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Hive启动

要启动metastore服务

[hadoop@hadoop-master ~]$ hive --service metastore &
[hadoop@hadoop-master ~]$ jps
10288 RunJar  #多了一个进程
9365 NameNode
9670 SecondaryNameNode
11096 Jps
9944 NodeManager
9838 ResourceManager
9471 DataNode
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Hive服务器端访问

[hadoop@hadoop-master ~]$ hive
Logging initialized using configuration in jar:file:/home/hadoop/apache-hive-1.2.1-bin/lib/hive-common-1.2.1.jar!/hive-log4j.properties
hive> show databases;
OK
default
src
Time taken: 1.332 seconds, Fetched: 2 row(s)
hive> use src;
OK
Time taken: 0.037 seconds
hive> create table test1(id int);
OK
Time taken: 0.572 seconds
hive> show tables;
OK
abc
test
test1
Time taken: 0.057 seconds, Fetched: 3 row(s)
hive>
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Hive客户端访问

[hadoop@hadoop-slave conf]$ hive
Logging initialized using configuration in jar:file:/home/hadoop/apache-hive-1.2.1-bin/lib/hive-common-1.2.1.jar!/hive-log4j.properties
hive> show databases;
OK
default
src
Time taken: 1.022 seconds, Fetched: 2 row(s)
hive> use src;
OK
Time taken: 0.057 seconds
hive> show tables;
OK
abc
test
test1
Time taken: 0.218 seconds, Fetched: 3 row(s)
hive> create table test2(id int ,name string);
OK
Time taken: 5.518 seconds
hive> show tables;
OK
abc
test
test1
test2
Time taken: 0.102 seconds, Fetched: 4 row(s)
hive>
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好了，测试完毕，已经安装成功了。

安装问题纠错

Hive数据库编码问题

错误描述：hive进入后可以创建数据库，但是无法创建表

hive>create table table_test(id string,name string);
FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask.MetaException(message:javax.jdo.JDODataStoreException: An exception was thrown while adding/validating class(es) : Specified key was too long; max key length is 767 bytes
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解决办法：登录mysql修改下hive数据库的编码方式

mysql>alter database hive character set latin1;
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防火墙问题

Hive服务器开启了iptables服务，hive本机可以访问hive服务，hive的客户端hadoop-slave访问报错

[hadoop@hadoop-slave conf]$ hive
Logging initialized using configuration in jar:file:/home/hadoop/apache-hive-1.2.1-bin/lib/hive-common-1.2.1.jar!/hive-log4j.properties
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:522)
        at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:677)
        at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:621)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:483)
        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
        at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1523)
        at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.<init>(RetryingMetaStoreClient.java:86)
        at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:132)
        at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:104)
        at org.apache.hadoop.hive.ql.metadata.Hive.createMetaStoreClient(Hive.java:3005)
        at org.apache.hadoop.hive.ql.metadata.Hive.getMSC(Hive.java:3024)
        at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:503)
        ... 8 more
Caused by: java.lang.reflect.InvocationTargetException
        at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
        at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
        at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
        at java.lang.reflect.Constructor.newInstance(Constructor.java:408)
        at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1521)
        ... 14 more
Caused by: MetaException(message:Could not connect to meta store using any of the URIs provided. Most recent failure: org.apache.thrift.transport.TTransportException: java.net.NoRouteToHostException: No route to host
        at org.apache.thrift.transport.TSocket.open(TSocket.java:187)
        at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.open(HiveMetaStoreClient.java:420)
        at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:236)
        at org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient.<init>(SessionHiveMetaStoreClient.java:74)
        at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
        at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
        at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
        at java.lang.reflect.Constructor.newInstance(Constructor.java:408)
        at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1521)
        at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.<init>(RetryingMetaStoreClient.java:86)
        at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:132)
        at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:104)
        at org.apache.hadoop.hive.ql.metadata.Hive.createMetaStoreClient(Hive.java:3005)
        at org.apache.hadoop.hive.ql.metadata.Hive.getMSC(Hive.java:3024)
        at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:503)
        at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:677)
        at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:621)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:483)
        at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
        at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
Caused by: java.net.NoRouteToHostException: No route to host
        at java.net.PlainSocketImpl.socketConnect(Native Method)
        at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:345)
        at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
        at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
        at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
        at java.net.Socket.connect(Socket.java:589)
        at org.apache.thrift.transport.TSocket.open(TSocket.java:182)
        ... 22 more
)
        at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.open(HiveMetaStoreClient.java:466)
        at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:236)
        at org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient.<init>(SessionHiveMetaStoreClient.java:74)
        ... 19 more
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解决办法：比较粗暴直接关掉了防火墙

[root@hadoop-master hadoop]# service iptables stop
iptables: Flushing firewall rules: [  OK  ]
iptables: Setting chains to policy ACCEPT: filter [  OK  ]
iptables: Unloading modules: [  OK  ]
[root@hadoop-master hadoop]#
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参考资料

hive元数据库配置Metadatahttp://blog.csdn.net/jyl1798/article/details/41087533
Hadoop+Hive环境搭建http://nunknown.com/p=282#3
基于Hadoop数据仓库Hive1.2部署及使用http://lizhenliang.blog.51cto.com/7876557/1665891
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