Hive远程模式安装

克虏伯

发布于 2019-07-30 14:56:05

1.2K0

发布于 2019-07-30 14:56:05

文章被收录于专栏：软件开发-青出于蓝

Hadoop的版本是2.7.2，Hive的版本是2.1.1，版本要对应。

Hadoop的安装略，JDK的安装略。安装在192.168.33.33这台机器上。

首先安装JDK，略。

之后将Hadoop集群上的hadoop包拷贝到192.168.33.33，将HADOOP_HOME加入到PATH中。网络策略上，192.168.33.33要能访问HADOOP集群。

Hive需要将元数据存储在数据库中，我们使用mysql，搭建mysql略。

1、将Hive安装包放在/opt下，解压，之后将mysql的jdbc连接包放在hive/lib下。

2、Hive/conf下，建hive-site.xml文件，文件内容如下List-1，hive.metastore.local的值要设置为false，这样就会开启9083端口。List-1中的hivedb我们不需要创建，会自动创建。

List-1

<?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://mysqlhost:3306/hivedb?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>root</value>
  </property>
  <property>
    <name>javax.jdo.option.ConnectionPassword</name>
    <value>mysql的密码</value>
  </property>
  <property>
    <name>hive.metastore.schema.verification</name>
    <value>false</value>
  </property>
<property>
  <name>hive.metastore.warehouse.dir</name>
  <value>/user/hive/warehouse</value>
</property>
<property>
  <name>hive.metastore.local</name>
  <value>false</value>
</property>
</configuration>

3、hive/conf下，创建hive-log4j2.properties文件，内容如下List-2

List-2

status = INFO
name = HiveLog4j2
packages = org.apache.hadoop.hive.ql.log

# list of properties
property.hive.log.level = INFO
property.hive.root.logger = DRFA
# hive的日志路径
property.hive.log.dir = /opt/hive/logs
property.hive.log.file = hive.log
property.hive.perflogger.log.level = INFO

# list of all appenders
appenders = console, DRFA

# console appender
appender.console.type = Console
appender.console.name = console
appender.console.target = SYSTEM_ERR
appender.console.layout.type = PatternLayout
appender.console.layout.pattern = %d{ISO8601} %5p [%t] %c{2}: %m%n

# daily rolling file appender
appender.DRFA.type = RollingRandomAccessFile
appender.DRFA.name = DRFA
appender.DRFA.fileName = ${sys:hive.log.dir}/${sys:hive.log.file}
# Use %pid in the filePattern to append <process-id>@<host-name> to the filename if you want separate log files for different CLI session
appender.DRFA.filePattern = ${sys:hive.log.dir}/${sys:hive.log.file}.%d{yyyy-MM-dd}
appender.DRFA.layout.type = PatternLayout
appender.DRFA.layout.pattern = %d{ISO8601} %5p [%t] %c{2}: %m%n
appender.DRFA.policies.type = Policies
appender.DRFA.policies.time.type = TimeBasedTriggeringPolicy
appender.DRFA.policies.time.interval = 1
appender.DRFA.policies.time.modulate = true
appender.DRFA.strategy.type = DefaultRolloverStrategy
appender.DRFA.strategy.max = 30

# list of all loggers
loggers = NIOServerCnxn, ClientCnxnSocketNIO, DataNucleus, Datastore, JPOX, PerfLogger

logger.NIOServerCnxn.name = org.apache.zookeeper.server.NIOServerCnxn
logger.NIOServerCnxn.level = WARN

logger.ClientCnxnSocketNIO.name = org.apache.zookeeper.ClientCnxnSocketNIO
logger.ClientCnxnSocketNIO.level = WARN

logger.DataNucleus.name = DataNucleus
logger.DataNucleus.level = ERROR

logger.Datastore.name = Datastore
logger.Datastore.level = ERROR

logger.JPOX.name = JPOX
logger.JPOX.level = ERROR

logger.PerfLogger.name = org.apache.hadoop.hive.ql.log.PerfLogger
logger.PerfLogger.level = ${sys:hive.perflogger.log.level}

# root logger
rootLogger.level = ${sys:hive.log.level}
rootLogger.appenderRefs = root
rootLogger.appenderRef.root.ref = ${sys:hive.root.logger}

4、将HIVE_HOME加入到PATH中，之后初始化，执行"schematool -dbType mysql -initSchema"

5、启动元数据服务，执行"hive --service metastore"

6、启动hiveserver，执行"hiveserver2"

7、浏览器访问192.168.33.33:10002，看Hive的UI，此外可以执行jps -m查看。启动过程中可以查看hive日志，是否报错。

本文中，我们将Hive 的metastore和hiverserver都在一台机器上启动的。

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