Hive2.3的安装部署

迷南。 2022-12-13 04:20 149阅读 0赞

# 安装Hive2.3 #

1）上传apache-hive-2.3.0-bin.tar.gz 到/export/software目录下，并解压到/export/servers

[donglin@hadoop102 software]$ tar -zxvf apache-hive-2.3.6-bin.tar.gz -C /export/servers

2）修改apache-hive-2.3.6-bin名称为hive

[donglin@hadoop102 servers]$ mv apache-hive-2.3.6-bin hive

3）将Mysql的mysql-connector-java-5.1.27-bin.jar拷贝到/export/servers/hive/lib/

[donglin@hadoop102 servers]$ cp /export/software/mysql-libs/mysql-connector-java-5.1.27/mysql-connector-java-5.1.27-bin.jar /export/servers/hive/lib/

4）在/export/servers/hive/conf路径上，创建hive-site.xml文件

[donglin@hadoop102 conf]$ vim hive-site.xml

添加如下内容

<?xml version="1.0"?>
    <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
    <configuration>
    	<property>
    	    <name>javax.jdo.option.ConnectionURL</name>
    	    <value>jdbc:mysql://hadoop102:3306/metastore?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>000000</value>
    	    <description>password to use against metastore database</description>
    	</property>
        
        <property>
             <name>hive.metastore.warehouse.dir</name>
             <value>/user/hive/warehouse</value>
             <description>location of default database for the warehouse</description>
        </property>
        
        <property>
            <name>hive.cli.print.header</name>
            <value>true</value>
        </property>
    
        <property>
            <name>hive.cli.print.current.db</name>
            <value>true</value>
        </property>
        
        <property>
            <name>hive.metastore.schema.verification</name>
            <value>false</value>
        </property>
        
        <property>
            <name>datanucleus.schema.autoCreateAll</name>
            <value>true</value> 
        </property>
        <property>
      <name>hive.metastore.uris</name>
      <value>thrift://hadoop102:9083</value>
    </property>
    
    
    </configuration>

5）服务启动完毕后在启动Hive

[donglin@hadoop102 hive]$ nohup bin/hive --service metastore &
    [donglin@hadoop102 hive]$ bin/hive

# Hive集成引擎Tez #

# 安装包准备 #

1）下载tez的依赖包：http://tez.apache.org  
2）拷贝apache-tez-0.9.1-bin.tar.gz到hadoop102的/opt/software目录

[donglin@hadoop102 software]$ ls
    apache-tez-0.9.1-bin.tar.gz

3）将apache-tez-0.9.1-bin.tar.gz上传到HDFS的/tez目录下。

[donglin@hadoop102 conf]$ hadoop fs -mkdir /tez
    [donglin@hadoop102 conf]$ hadoop fs -put /export/software/apache-tez-0.9.1-bin.tar.gz/ /tez

4）解压缩apache-tez-0.9.1-bin.tar.gz

[donglin@hadoop102 software]$ tar -zxvf apache-tez-0.9.1-bin.tar.gz -C /export/servers

5）修改名称

[donglin@hadoop102 servers]$ mv apache-tez-0.9.1-bin/ tez-0.9.1

# 集成Tez #

1）进入到Hive的配置目录：/export/software/hive/conf

[donglin@hadoop102 conf]$ pwd
    /export/software/hive/conf

2）在Hive的/export/software/hive/conf下面创建一个tez-site.xml文件

[donglin@hadoop102 conf]$ pwd
    /export/software/hive/conf
    [donglin@hadoop102 conf]$ vim tez-site.xml

添加如下内容

<?xml version="1.0" encoding="UTF-8"?>
    <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
    <configuration>
        <property>
            <name>tez.lib.uris</name>
            <value>${fs.defaultFS}/tez/apache-tez-0.9.1-bin.tar.gz</value>
        </property>
        <property>
             <name>tez.use.cluster.hadoop-libs</name>
             <value>true</value>
        </property>
        <property>
             <name>tez.history.logging.service.class</name>        
             <value>org.apache.tez.dag.history.logging.ats.ATSHistoryLoggingService</value>
        </property>
    </configuration>

2）在hive-env.sh文件中添加tez环境变量配置和依赖包环境变量配置

[donglin@hadoop102 conf]$ mv hive-env.sh.template hive-env.sh
    [donglin@hadoop102 conf]$ vim hive-env.sh

添加如下配置

# Set HADOOP_HOME to point to a specific hadoop install directory
    export HADOOP_HOME=/export/software/hadoop-2.7.7
    
    # Hive Configuration Directory can be controlled by:
    export HIVE_CONF_DIR=/export/software/hive/conf
    
    # Folder containing extra libraries required for hive compilation/execution can be controlled by:
    export TEZ_HOME=/export/software/tez-0.9.1    #是你的tez的解压目录
    export TEZ_JARS=""
    for jar in `ls $TEZ_HOME |grep jar`; do
        export TEZ_JARS=$TEZ_JARS:$TEZ_HOME/$jar
    done
    for jar in `ls $TEZ_HOME/lib`; do
        export TEZ_JARS=$TEZ_JARS:$TEZ_HOME/lib/$jar
    done
    
    export HIVE_AUX_JARS_PATH=/export/software/hadoop-2.7.7/share/hadoop/common/hadoop-lzo-0.4.20.jar$TEZ_JARS

3）在hive-site.xml文件中添加如下配置，更改hive计算引擎

<property>
        <name>hive.execution.engine</name>
        <value>tez</value>
    </property>

## 测试 ##

1）启动Hive

[donglin@hadoop102 hive]$ bin/hive

2）创建表

hive (default)> create table student(
    id int,
    name string);

3）向表中插入数据

hive (default)> insert into student values(1,"zhangsan");

4）如果没有报错就表示成功了

hive (default)> select * from student;
    1       zhangsan

## 注意事项 ##

1）运行Tez时检查到用过多内存而被NodeManager杀死进程问题：

Caused by: org.apache.tez.dag.api.SessionNotRunning: TezSession has already shutdown. Application application_1546781144082_0005 failed 2 times due to AM Container for appattempt_1546781144082_0005_000002 exited with  exitCode: -103
    For more detailed output, check application tracking page:http://hadoop103:8088/cluster/app/application_1546781144082_0005Then, click on links to logs of each attempt.
    Diagnostics: Container [pid=11116,containerID=container_1546781144082_0005_02_000001] is running beyond virtual memory limits. Current usage: 216.3 MB of 1 GB physical memory used; 2.6 GB of 2.1 GB virtual memory used. Killing container.

这种问题是从机上运行的Container试图使用过多的内存，而被NodeManager kill掉了。

[摘录] The NodeManager is killing your container. It sounds like you are trying to use hadoop streaming which is running as a child process of the map-reduce task. The NodeManager monitors the entire process tree of the task and if it eats up more memory than the maximum set in mapreduce.map.memory.mb or mapreduce.reduce.memory.mb respectively, we would expect the Nodemanager to kill the task, otherwise your task is stealing memory belonging to other containers, which you don't want.

2）解决方法：  
（1）关掉虚拟内存检查，修改yarn-site.xml，

<property>
        <name>yarn.nodemanager.vmem-check-enabled</name>
        <value>false</value>
    </property>

（2）修改后一定要分发，并重新启动hadoop集群。

[donglin@hadoop102 hadoop]$ xsync yarn-site.xml