Linux-hive集群搭建

请注意，本文编写于 472 天前，最后修改于 192 天前，其中某些信息可能已经过时。

下载安装mysql

下载并安装MySQL官方的 Yum Repository

wget -i -c http://dev.mysql.com/get/mysql57-community-release-el7-10.noarch.rpm`

使用上面的命令就直接下载了安装用的Yum Repository，大概25KB的样子，然后就可以直接yum安装了。

yum -y install mysql57-community-release-el7-10.noarch.rpm`

下面就是使用yum安装MySQL了

yum -y install mysql-community-server # 时间可能会很长，请耐心等待

首先启动MySQL

`[root@BrianZhu /]``# systemctl start  mysqld.service`

查看MySQL运行状态

`[root@BrianZhu /]``# systemctl status mysqld.service`

查看初始root密码

  grep "password" /var/log/mysqld.log

修改root密码

mysql -uroot -p     # 回车后会提示输入密码
mysql> ALTER USER 'root'@'localhost' IDENTIFIED BY 'new password';
# 这时设置的密码不能太简单，否则不通过；需要简短的密码可进行如下修改密码规则
mysql> set global validate_password_policy=0;
Query OK, 0 rows affected (0.00 sec)
mysql> set global validate_password_length=1;
Query OK, 0 rows affected (0.00 sec)
# 这时你就可以设置简单的密码了

配置hive元数据库

[root@master app]# mysql -uroot -prootroot
mysql> create user 'hive' identified by 'hive';    //创建一个账号：用户名为hive，密码为hive
或者
mysql> create user 'hive'@'%' identified by 'hive'; //创建一个账号：用户名为hive，密码为hive
##############################################################
mysql> GRANT ALL PRIVILEGES ON *.* to 'hive'@'%' IDENTIFIED BY 'hive' WITH GRANT OPTION;   //将权限授予host为%即所有主机的hive用户
mysql> GRANT ALL PRIVILEGES ON *.* to 'hive'@'master' IDENTIFIED BY 'hive' WITH GRANT OPTION;  //将权限授予host为master的hive用户
mysql> GRANT ALL PRIVILEGES ON *.* to 'hive'@'localhost' IDENTIFIED BY 'hive' WITH GRANT OPTION; //将权限授予host为localhost的hive用户（其实这一步可以不配）
mysql> flush privileges;
Query OK, 0 rows affected (0.00 sec)
mysql> select user,host,password from mysql.user;
mysql> exit;

解压配置hive环境变量

解压

tar -zxvf apache-hive-2.3.4-bin.tar.gz

重命名
mv apache-hive-2.3.4-bin hive-2.3.4
配置环境变量

    vi /etc/profile # 编辑系统配置文件
    # 添加如下内容
    HIVE_HOME=/opt/hive-2.3.4
    PATH=$PATH:$HIVE_HOME/bin
    export PATH HIVE_HOME

配置hive配置文件

编辑hive-env.xml文件

cd conf
cp hive-env.sh.template  hive-env.sh
vi hive-env.sh

#################添加如下信息wq保存
JAVA_HOME=/opt/jdk1.8.0_181
HADOOP_HOME=/opt/hadoop-2.7.7
HIVE_HOME=/opt/hive-2.3.4
export HIVE_CONF_DIR=$HIVE_HOME/conf
export CLASSPATH=$CLASSPATH:$JAVA_HOME/lib:$HADOOP_HOME/lib:$HIVE_HOME/lib

编辑hive-site.xml

新建文件 vi hive-site.xml 复制如下内容保存

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
 <property>
    <name>javax.jdo.option.ConnectionURL</name>
    <value>jdbc:mysql://hservice: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>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>
<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>/opt/hive-2.3.4/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>/opt/hive-2.3.4/tmp/logs</value>
    <description>Local scratch space for Hive jobs</description>
</property>
<property>
    <name>hive.downloaded.resources.dir</name>
    <value>/opt/hive-2.3.4/tmp/ResourcesLog</value>
    <description>Temporary local directory for added resources in the remote file system.</description>
</property>
<property>
    <name>hive.querylog.location</name>
    <value>/opt/hive-2.3.4/tmp/HiveRunLog</value>
    <description>Location of Hive run time structured log file</description>
</property>
<property>
    <name>hive.server2.logging.operation.log.location</name>
    <value>/opt/hive-2.3.4/tmp/OpertitionLog</value>
    <description>Top level directory where operation tmp are stored if logging functionality is enabled</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://hservice: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>hservice</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>hservice</value>
</property>
<property>
    <name>hive.server2.webui.port</name>
    <value>10002</value>
</property>
<property>
    <name>hive.scratch.dir.permission</name>
    <value>755</value>
</property>
<property>
    <name>spark.driver.extraJavaOptions</name>
    <value>-XX:PermSize=128M -XX:MaxPermSize=512M</value>
</property>
</configuration>

配置日志地址, 修改hive-log4j.properties文件

#配置日志地址, 修改hive-log4j.properties文件
cp hive-log4j2.properties.template hive-log4j.properties
vim hive-log4j.properties 
#将hive.log日志的位置改为${HIVE_HOME}/tmp目录
hive.log.dir=/opt/hive-2.3.4/tmp/
创建tmp目录
mkdir ${HIVE_HOME}/tmp

配置hive-config.sh文件

cd /opt/hive-2.3.4/bin
vi hive-config.sh
################添加如下内容
export JAVA_HOME=/opt/jdk1.8.0_181
export HADOOP_HOME=/opt/hadoop-2.7.7
export HIVE_HOME=/opt/hive-2.3.4
HIVE_CONF_DIR=$HIVE_HOME/conf

拷贝jar包

拷贝jline扩展包

# 切换到lib目录
[root@hservice lib]# ls mysql*
mysql-connector-java-5.1.41-bin.jar  mysql-metadata-storage-0.9.2.jar #拷贝JDBC扩展包
[root@hservice lib]# ls jl*
jline-2.12.jar
##拷贝jline扩展包
cp jline-2.12.jar /opt/hadoop-2.7.7/share/hadoop/yarn/lib/

初始化hive配置

在hive/bin目录下运行

schematool -dbType mysql -initSchema ## MySQL作为元数据库，此时在hive的bin目录

使用scp打包hive到子节点

scp -r hive-2.3.4/ root@node1:/opt
scp -r hive-2.3.4/ root@node2:/opt

配置子节点的环境变量

启动hive

启动Metastore服务

# 先启动hadoop
start-all.sh
# 启动Metastore服务,执行Hive前, 须先启动metastore服务, 否则会报错
./hive –service metastore # 此时在hive的bin目录

启动hive

输入hive即可

# 您将看到如下信息
[root@hservice opt]# hive
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/hive-2.3.4/lib/log4j-slf4j-impl-2.6.2.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/hadoop-2.7.7/share/hadoop/common/lib/slf4j-log4j12-1.7.10.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.apache.logging.slf4j.Log4jLoggerFactory]

Logging initialized using configuration in file:/opt/hive-2.3.4/conf/hive-log4j2.properties Async: true
Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases.
hive> show databases;
OK
default
Time taken: 8.192 seconds, Fetched: 1 row(s)
hive> show tables;
OK
Time taken: 0.11 seconds
hive>

完毕

集群