hive-1.2.1 安装 （基于hadoop-2.6.2 HA）

摘要: 在配置hive-1.2.1的过程中遇到了一些问题，现在把整个过程记下来。

环境介绍

IP	主机名	部署
192.168.2.10	bi10	hadoop-2.6.2，hive-1.2.1，hive metastore
192.168.2.12	bi12	hadoop-2.6.2，hive-1.2.1，hive metastore
192.168.2.13	bi13	hadoop-2.6.2，hive-1.2.1

mysql配置

新建用户hive，密码hive，然后授权。数据库IP：192.168.2.11 端口：3306

CREATE USER 'hive'@'%' IDENTIFIED BY 'hive';
GRANT ALL PRIVILEGES ON *.* TO 'hive'@'%' WITH GRANT OPTION;
FLUSH PRIVILEGES;
CREATE DATABASE hive;
alter database hive character set latin1;

Hive配置

解压hive-1.2.1到/home/hadoop/work/hive-1.2.1目录下，然后修改配置文件

修改hive-site.xml，进入hive的conf目录下

[hadoop@bi13 conf]$ mv hive-env.sh.template hive-site.xml
[hadoop@bi13 conf]$ vim hive-site.xml

hive-site.xml，参数说明：

hive.metastore.warehouse.dir	hive数据仓库在hdfs中的位置，由于hadoop集群采用了ha的方式，所以在这里使用hdfs://masters/user/hive/warehouse，而没有具体的namenode主机＋端口
hive.metastore.uris	这个使用hive使用metastore server的端口配置，我们使用默认的9083端口
hive.exec.scratchdir	同样，由于ha的配置，我们使用hdfs://masters/user/hive/tmp
javax.jdo.option.ConnectionPassword	mysql数据库密码
javax.jdo.option.ConnectionDriverName	mysql数据库驱动
javax.jdo.option.ConnectionURL	mysql数据库URL
javax.jdo.option.ConnectionUserName	mysql数据库用户名
hive.querylog.location hive.server2.logging.operation.log.location hive.exec.local.scratchdir hive.downloaded.resources.dir	这些配置项的value值必须写成具体的路径，否在会出现问题

<property>
<name>hive.metastore.warehouse.dir</name>
<value>hdfs://masters/user/hive/warehouse</value>
<description>location of default database for the warehouse</description>
</property>
<property>
<name>hive.metastore.uris</name>
<value>thrift://bi10:9083,thrift://bi12:9083</value>
<description>Thrift URI for the remote metastore. Used by metastore client to connect to remote metastore.</description>
</property>
<property>
<name>hive.exec.scratchdir</name>
<value>hdfs://masters/user/hive/tmp</value>
<description>HDFS root scratch dir for Hive jobs which gets created with write all (733) permission. For each connecting user, an HDFS scratch dir: ${hive.exec.scratchdir}/<username> is created, with ${hive.scratch.dir.permission}.</description>
</property>
<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>hive</value>
<description>password to use against metastore database</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.ConnectionURL</name>
<value>jdbc:mysql://192.168.2.11:3306/hive?createDatabaseIfNotExist=true</value>
<description>JDBC connect string 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>hive.querylog.location</name>
<value>/home/hadoop/work/hive-1.2.1/tmp/iotmp</value>
<description>Location of Hive run time structured log file</description>
</property>
<property>
<name>hive.server2.logging.operation.log.location</name>
<value>/home/hadoop/work/hive-1.2.1/tmp/operation_logs</value>
<description>Top level directory where operation logs are stored if logging functionality is enabled</description>
</property>
<property>
<name>hive.exec.local.scratchdir</name>
<value>/home/hadoop/work/hive-1.2.1/tmp/${system:user.name}</value>
<description>Local scratch space for Hive jobs</description>
</property>
<property>
<name>hive.downloaded.resources.dir</name>
<value>/home/hadoop/work/hive-1.2.1/tmp/${hive.session.id}_resources</value>
<description>Temporary local directory for added resources in the remote file system.</description>
</property>

使用hive下面的jline-2.12.jar替代hadoop下面的jline-0.9.94.jar

mv hive-1.2.1/lib/jline-2.12.jar hadoop-2.6.2/share/hadoop/yarn/lib/
mv hadoop-2.6.2/share/hadoop/yarn/lib/jline-0.9.94.jar hadoop-2.6.2/share/hadoop/yarn/lib/jline-0.9.94.jar.bak

把以上操作复制到所有部署hive的机器上

启动metastore service

分别在bi10和bi12下面启动metastore service

nohup hive --service metastore > null 2>&1 &

测试

进入hive，看是否有问题。如果存在问题是用hive --hiveconf hive.root.logger=DEBUG,console启动，可以看到具体的日志。

[hadoop@bi13 work]$ hive
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/home/hadoop/work/hadoop-2.6.2/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/home/hadoop/work/spark-1.5.1/lib/spark-assembly-1.5.1-hadoop2.4.0.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.slf4j.impl.Log4jLoggerFactory]
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/home/hadoop/work/hadoop-2.6.2/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/home/hadoop/work/spark-1.5.1/lib/spark-assembly-1.5.1-hadoop2.4.0.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.slf4j.impl.Log4jLoggerFactory]

Logging initialized using configuration in jar:file:/home/hadoop/work/hive-1.2.1/lib/hive-common-1.2.1.jar!/hive-log4j.properties
hive>