软件环境:
linux系统: CentOS6.7
Hadoop版本: 2.6.5
zookeeper版本: 3.4.8
</br>
主机配置:
一共m1, m2, m3这五部机, 每部主机的用户名都为centos
192.168.179.201: m1
192.168.179.202: m2
192.168.179.203: m3
m1: Zookeeper, Namenode, DataNode, ResourceManager, NodeManager, Master, Worker
m2: Zookeeper, Namenode, DataNode, ResourceManager, NodeManager, Worker
m3: Zookeeper, DataNode, NodeManager, Worker
</br>
集群搭建:
一.搭建基本功能的Hive(注:Hive只在一个节点上安装即可)
1.下载Hive2.1.1安装包
http://www.apache.org/dyn/closer.cgi/hive/
2.解压
tar -zxvf hive-0.9.0.tar.gz -C /home/hadoop/soft
3.配置环境变量
vi /etc/profile
# Hive
export HIVE_HOME=/home/centos/soft/hive
export HIVE_CONF_DIR=$HIVE_HOME/conf
export CLASSPATH=$CLASSPATH:$HIVE_HOME/lib
export PATH=$PATH:$HIVE_HOMW/bin
source /etc/profile
4.配置MySQL(注:切换到root用户)
- 卸载CentOS自带的MySQL
rpm -qa | grep mysql
rpm -e mysql-libs-5.1.66-2.el6_3.i686 --nodeps
yum -y install mysql-server
- 初始化MySQL
(1) 修改mysql的密码(root权限执行)
cd /usr/bin
./mysql_secure_installation
(2) 输入当前MySQL数据库的密码为root, 初始时root是没有密码的, 所以直接回车
Enter current password for root (enter for none):
(3) 设置MySQL中root用户的密码(应与下面Hive配置一致,下面设置为123456)
Set root password? [Y/n] Y
New password:
Re-enter new password:
Password updated successfully!
Reloading privilege tables..
... Success!
(4)删除匿名用户
Remove anonymous users? [Y/n] Y
... Success!
(5)是否不允许用户远程连接,选择N
Disallow root login remotely? [Y/n] N
... Success!
(6)删除test数据库
Remove test database and access to it? [Y/n] Y
- Dropping test database...
... Success!
- Removing privileges on test database...
... Success!
(7)重装
Reload privilege tables now? [Y/n] Y
... Success!
(8)完成
All done! If you've completed all of the above steps, your MySQL
installation should now be secure.
Thanks for using MySQL!
(9)登陆mysql
mysql -uroot -p
GRANT ALL PRIVILEGES ON *.* TO 'root'@'%' IDENTIFIED BY '123' WITH GRANT OPTION;
FLUSH PRIVILEGES;
exit;
至此MySQL配置完成
</br>
5.配置Hive
1.将hive-env.sh.template文件复制为hive-env.sh, 编辑hive-env.xml文件
JAVA_HOME=/home/centos/soft/jdk
HADOOP_HOME=/home/centos/soft/hadoop
HIVE_HOME=/home/centos/soft/hive
export HIVE_CONF_DIR=$HIVE_HOME/conf
export HIVE_AUX_JARS_PATH=$SPARK_HOME/lib/spark-assembly-1.6.0-hadoop2.6.0.jar
export CLASSPATH=$CLASSPATH:$JAVA_HOME/lib:$HADOOP_HOME/lib:$HIVE_HOME/lib
export HADOOP_OPTS="-Dorg.xerial.snappy.tempdir=/tmp -Dorg.xerial.snappy.lib.name=libsnappyjava.jnilib $HADOOP_OPTS"
2.配置hive-site.xml文件, 将hive-default.xml.template文件拷贝为hive-default.xml, 并编辑hive-site.xml文件(删除所有内容，只留一个<configuration></configuration>)
配置项参考:
hive.server2.thrift.port– TCP 的监听端口，默认为10000。
hive.server2.thrift.bind.host– TCP绑定的主机，默认为localhost
hive.server2.thrift.min.worker.threads– 最小工作线程数，默认为5。
hive.server2.thrift.max.worker.threads – 最小工作线程数，默认为500。
hive.server2.transport.mode – 默认值为binary（TCP），可选值HTTP。
hive.server2.thrift.http.port– HTTP的监听端口，默认值为10001。
hive.server2.thrift.http.path – 服务的端点名称，默认为 cliservice。
hive.server2.thrift.http.min.worker.threads– 服务池中的最小工作线程，默认为5。
hive.server2.thrift.http.max.worker.threads– 服务池中的最小工作线程，默认为500。
<configuration>
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://m1:3306/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>123</value>
<description>password to use against metastore database</description>
</property>
<property>
<name>datanucleus.autoCreateSchema</name>
<value>true</value>
</property>
<property>
<name>datanucleus.autoCreateTables</name>
<value>true</value>
</property>
<property>
<name>datanucleus.autoCreateColumns</name>
<value>true</value>
</property>
<!-- 设置 hive仓库的HDFS上的位置 -->
<property>
<name>hive.metastore.warehouse.dir</name>
<value>/hive</value>
<description>location of default database for the warehouse</description>
</property>
<!--资源临时文件存放位置 -->
<property>
<name>hive.downloaded.resources.dir</name>
<value>/home/centos/soft/hive/tmp/resources</value>
<description>Temporary local directory for added resources in the remote file system.</description>
</property>
<!-- Hive在0.9版本之前需要设置hive.exec.dynamic.partition为true, Hive在0.9版本之后默认为true -->
<property>
<name>hive.exec.dynamic.partition</name>
<value>true</value>
</property>
<property>
<name>hive.exec.dynamic.partition.mode</name>
<value>nonstrict</value>
</property>
<!-- 修改日志位置 -->
<property>
<name>hive.exec.local.scratchdir</name>
<value>/home/centos/soft/hive/tmp/HiveJobsLog</value>
<description>Local scratch space for Hive jobs</description>
</property>
<property>
<name>hive.downloaded.resources.dir</name>
<value>/home/centos/soft/hive/tmp/ResourcesLog</value>
<description>Temporary local directory for added resources in the remote file system.</description>
</property>
<property>
<name>hive.querylog.location</name>
<value>/home/centos/soft/hive/tmp/HiveRunLog</value>
<description>Location of Hive run time structured log file</description>
</property>
<property>
<name>hive.server2.logging.operation.log.location</name>
<value>/home/centos/soft/hive/tmp/OpertitionLog</value>
<description>Top level directory where operation tmp are stored if logging functionality is enabled</description>
</property>
<!-- 配置HWI接口 -->
<property>
<name>hive.hwi.war.file</name>
<value>/home/centos/soft/hive/lib/hive-hwi-2.1.1.jar</value>
<description>This sets the path to the HWI war file, relative to ${HIVE_HOME}. </description>
</property>
<property>
<name>hive.hwi.listen.host</name>
<value>m1</value>
<description>This is the host address the Hive Web Interface will listen on</description>
</property>
<property>
<name>hive.hwi.listen.port</name>
<value>9999</value>
<description>This is the port the Hive Web Interface will listen on</description>
</property>
<!-- Hiveserver2已经不再需要hive.metastore.local这个配置项了(hive.metastore.uris为空，则表示是metastore在本地，否则就是远程)远程的话直接配置hive.metastore.uris即可 -->
<!-- property>
<name>hive.metastore.uris</name>
<value>thrift://m1:9083</value>
<description>Thrift URI for the remote metastore. Used by metastore client to connect to remote metastore.</description>
</property -->
<property>
<name>hive.server2.thrift.bind.host</name>
<value>m1</value>
</property>
<property>
<name>hive.server2.thrift.port</name>
<value>10000</value>
</property>
<property>
<name>hive.server2.thrift.http.port</name>
<value>10001</value>
</property>
<property>
<name>hive.server2.thrift.http.path</name>
<value>cliservice</value>
</property>
<!-- HiveServer2的WEB UI -->
<property>
<name>hive.server2.webui.host</name>
<value>m1</value>
</property>
<property>
<name>hive.server2.webui.port</name>
<value>10002</value>
</property>
<property>
<name>hive.scratch.dir.permission</name>
<value>755</value>
</property>
<!-- 下面hive.aux.jars.path这个属性里面你这个jar包地址如果是本地的记住前面要加file://不然找不到, 而且会报org.apache.hadoop.hive.contrib.serde2.RegexSerDe错误 -->
<property>
<name>hive.aux.jars.path</name>
<value>file:///home/centos/soft/spark/lib/spark-assembly-1.6.0-hadoop2.6.0.jar</value>
</property>
<property>
<name>hive.server2.enable.doAs</name>
<value>false</value>
</property>
<!-- property>
<name>hive.server2.authentication</name>
<value>NOSASL</value>
</property -->
<property>
<name>hive.auto.convert.join</name>
<value>false</value>
</property>
</configuration>
<property>
<name>spark.dynamicAllocation.enabled</name>
<value>true</value>
<description>动态分配资源</description>
</property>
<!-- 使用Hive on spark时,若不设置下列该配置会出现内存溢出异常 -->
<property>
<name>spark.driver.extraJavaOptions</name>
<value>-XX:PermSize=128M -XX:MaxPermSize=512M</value>
</property>
</configuration>
3.配置日志地址, 修改hive-log4j.properties文件
cp hive-log4j.properties.template hive-log4j.properties
vi hive-log4j.properties
hive.log.dir=/home/centos/soft/hive/tmp ## 将hive.log日志的位置改为${HIVE_HOME}/tmp目录下
mkdir ${HIVE_HOME}/tmp
4.配置$HIVE_HOME/conf/hive-config.sh文件
## 增加以下三行
export JAVA_HOME=/home/centos/soft/java
export HIVE_HOME=/home/centos/soft/hive
export HADOOP_HOME=/home/centos/soft/hadoop
## 修改下列该行
HIVE_CONF_DIR=$HIVE_HOME/conf
</br>
6.将JDBC的jar包放入$HIVE_HOME/lib目录下
cp /home/centos/soft/tar.gz/mysql-connector-java-5.1.6-bin.jar /home/centos/soft/hive/lib/
</br>
7.拷贝jline扩展包
将$HIVE_HOME/lib目录下的jline-2.12.jar包拷贝到$HADOOP_HOME/share/hadoop/yarn/lib目录下,并删除$HADOOP_HOME/share/hadoop/yarn/lib目录下旧版本的jline包
</br>
8.复制$JAVA_HOME/lib目录下的tools.jar到$HIVE_HOME/lib下
cp $JAVA_HOME/lib/tools.jar ${HIVE_HOME}/lib
</br>
9.执行初始化Hive操作
选用MySQLysql和Derby二者之一为元数据库
注意:先查看MySQL中是否有残留的Hive元数据,若有,需先删除
schematool -dbType mysql -initSchema ## MySQL作为元数据库
其中mysql表示用mysql做为存储hive元数据的数据库, 若不用mysql做为元数据库, 则执行
schematool -dbType derby -initSchema ## Derby作为元数据库
脚本hive-schema-1.2.1.mysql.sql会在配置的Hive元数据库中初始化创建表
</br>
10.启动Metastore服务
执行Hive前, 须先启动metastore服务, 否则会报错
./hive --service metastore
然后打开另一个终端窗口,之后再启动Hive进程
</br>
11.测试
hive
show databases;
show tables;
create table book (id bigint, name string) row format delimited fields terminated by '\t';
select * from book;
select count(*) from book;
</br>
</br>
</br>
