Hive记录-部署Hive环境

1.配置 hive1.2.0（前提要配置hadoop2.7.2，前面文档有介绍）

#官网下载二进制包，解压到/usr/app 下，配置/etc/profile：
export HIVE_HOME=/usr/app/hive
export PATH=$PATH:$HIVE_HOME/bin
#配置 hive/conf
#hive-env.sh加入
export HADOOP_HEAPSIZE=1024
export HADOOP_HOME=/usr/app/hadoop
export HIVE_CONF_DIR=/usr/app/hive/conf
export HIVE_AUX_JARS_PATH=/usr/app/hive/lib
#source /etc/profile 立即生效
#新建目录
hdfs dfs -mkdir -p /user/hive/warehouse
hdfs dfs -mkdir -p /user/hive/tmp
hdfs dfs -mkdir -p /user/hive/log
hdfs dfs -chmod o+rwx /user/hive/warehouse
hdfs dfs -chmod o+rwx /user/hive/tmp
hdfs dfs -chmod o+rwx /user/hive/log
#配置日志目录
mkdir -p /usr/app/hive/logs
conf/hive-log4j.properties修改：
hive.log.dir=/usr/app/hive/logs

2.配置Mysql

#安装mysql->yum -y install mysql-devel mysql-server
#根据实际调整/etc/my.cnf配置，找不到可通过locate my.cnf查找 
#cp /usr/share/mysql/my-medium.cnf  /etc/my.cnf
#启动service mysqld start   /restart/stop
#进行mysql授权操作
#mysql>grant all privileges on *.* to root@'%' identified by '1' with grant option;
#mysql>grant all privileges on *.* to root@'localhost' identified by '1' with grant option;
#mysql>flush privileges;
#mysql>exit

3.mysql 新建 hive 数据库

#mysql -uroot -p
#输入密码
#mysql>create database hive;
#mysql>alter database hive character set latin1;
#mysql>grant all privileges on hive.* to hive@'%' identified by '1';
#mysql>gant all privileges on *.* to hive@'localhost' identified by '1';
#mysql>flush privileges;
#exit

4.编译hive war(web接口)#下载hive src源码解压切换到 hive/hwi/web 执行 jar cvf hive-hwi-1.2.0.war ./* 拷贝到hive/lib 下

5.修改配置

#vim hive-site.xml
<configuration>
<property>
<name>hive.metastore.schema.verification</name>
<value>false</value>
</property>
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://192.168.66.66:3306/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>hive</value>
</property>
<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>1</value>
</property>
<property>
<name>hive.hwi.listen.host</name>
<value>192.168.66.66</value>
</property>
<property>
<name>hive.hwi.listen.port</name>
<value>9999</value>
</property>
<property>
<name>hive.hwi.war.file</name>
<value>lib/hive-hwi-1.2.0.war</value>
</property>
<property>
<name>hive.metastore.warehouse.dir</name>
<value>/user/hive/warehouse</value>
</property>
<property>
<name>hive.exec.scratchdir</name>
<value>/user/hive/tmp</value>
</property>
<property>
<name>hive.querylog.location</name>
<value>/user/hive/log</value>
</property>
<property>
<name>hive.server2.thrift.port</name>
<value>10000</value>
</property>
<property>
<name>hive.server2.thrift.bind.host</name>
<value>192.168.66.66</value>
</property>

<property>
<name>hive.server2.webui.host</name>
<value>192.168.66.66</value>
</property>
<property>
<name>hive.server2.webui.port</name>
<value>10002</value>
</property>
<property>
<name>hive.server2.long.polling.timeout</name>
<value>5000</value>
</property>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<property>
<name>hive.server2.enable.doAs</name>
<value>true</value>
</property>
<property>
<name>mapred.job.tracker</name>
<value>http://192.168.66.66:9001</value>
</property>
<property>
<name>datanucleus.autoCreateSchema </name>
<value>false</value>
</property>
<property>
<name>datanucleus.fixedDatastore </name>
<value>true</value>
</property>
</configuration>

修改hadoop -core-site.xml加入
<property>
<name>hadoop.proxyuser.root.hosts</name>
<value>*</value>
</property>
<property>
<name>hadoop.proxyuser.root.groups</name>
<value>*</value>
</property>

6.初始化数据库(本文用的是mysql)
#$HIVE_HOME/bin/schematool -initSchema -dbType mysql
7.根据实际情况是否拷贝 jar 到 hive/lib 下(包可到网上搜索下载)
#拷贝 hadoop/lib/hadoop-lzo-0.4.21-SNAPSHOT.jar 到 hive/lib
#拷贝 mysql-connector-java-5.1.34.jar 到 hive/lib
#拷贝 jasper-compiler-5.5.23.jar jasper-runtime-5.5.23.jar commons-el-5.5.23.jar 到 hive/lib
#拷贝 ant/lib/ant-1.9.4.jar ant-launcher.jar 到 hive/lib（如果系统安装有ant就需要调整ant）
#如果启动包日志包重复需要删除
#根据实际修改hive/bin/hive:(根据spark2后的包分散了)
sparkAssemblyPath='ls ${SPARK_HOME}/lib/spark-assembly-*.jar' 
将其修改为：sparkAssemblyPath='ls ${SPARK_HOME}/jars/*.jar'
8.启动 hive
#先启动hadoop
#hive --service metastore
#hive --service hiveserver2  #http://192.168.66.66:10002  进入hiveserver2服务 ---2.0+才支持web ui
#netstat -nl |grep 10000 
#hive #进入终端
#hive --service hwi #进入 hive web 页面http://192.168.66.66:9999/hwi/

[ERROR] Terminal initialization failed; falling back to unsupported
java.lang.IncompatibleClassChangeError: Found class jline.Terminal, but interface was expected

错误原因：

在/hive/conf/lib目录中存在jline-x-x.jar，而/hadoop-x-x/share/hadoop/yarn/lib目录中存在老版本的jline-x-x.jar

解决办法：

将hive中新版本的jar包复制到hadoop中

执行命令：cp /usr/app/hive/conf/lib/jline-2-12.jar  /usr/app/hadoop/share/hadoop/yarn/lib/

然后重新启动hive即可