HIVE 双机集群HA-部署

HIVE双机HA-部署

1.1、系统环境初始化

防火墙关闭：

server iptables stop

chkconfig iptables off

selinux关闭：

 

用户创建：

vim yonghu.txt

hbase hdfs hive impala Impala kudu Kudu spark wxl zookeeper

 

#!/bin/sh

for i in `cat /root/hadoop-cdh/yonghu.txt`;

do

    echo $i

    useradd $i

done

 

免密码登录:其他用户更改root名称XXX

config-ssh-root.sh

#!/bin/sh

 

expect -c "

spawn ssh-****** -t rsa

expect {

\".ssh/id_rsa): \" {send \"\r\";exp_continue }

\"Enter passphrase (empty for no passphrase): \" {send \"\r\";exp_continue }

\"Enter same passphrase again: \" {send \"\r\" }

}

expect eof

"

expect -c "

    spawn ssh-copy-id -i /root/.ssh/id_rsa.pub zk-master-la01

    expect {

        yes/no { send \"yes\r\"; exp_continue }

        *assword* { send \"[email protected]\r\" }

    }

    expect {

        *assword* { send \"[email protected]\r\" }

    }

expect eof

"

expect -c "

    spawn ssh-copy-id -i /root/.ssh/id_rsa.pub zk-master-la02

    expect {

        yes/no { send \"yes\r\"; exp_continue }

        *assword* { send \"[email protected]\r\" }

    }

    expect {

        *assword* { send \"[email protected]\r\" }

    }

expect eof

"

expect -c "

spawn ssh-copy-id -i /root/.ssh/id_rsa.pub zk-la03

expect {

yes/no { send \"yes\r\"; exp_continue }

*assword* { send \"[email protected]\r\" }

}

expect {

*assword* { send \"[email protected]\r\" }

}

expect eof

"

expect -c "

spawn ssh-copy-id -i /root/.ssh/id_rsa.pub nagios_server

expect {

yes/no { send \"yes\r\"; exp_continue }

*assword* { send \"[email protected]\r\" }

}

expect {

*assword* { send \"[email protected]\r\" }

}

expect eof

"

for slave in $(</tmp/hadoop-slaves)

do

#ecl=${EXPECT_CMD/remoteHost/$slave}

#echo $ecl

expect -c "

spawn ssh-copy-id -i /root/.ssh/id_rsa.pub $slave

expect {

yes/no { send \"yes\r\"; exp_continue }

*assword* { send \"[email protected]\r\" }

}

expect {

*assword* { send \"[email protected]\r\" }

}

"

done

 

1.2、zookeeper安装配置：

JDK1.8配置生效

tar -zxvf jdk-8u121-linux-x64.gz -C /usr/local/

 

vim /home/hadoop/.bash_profile

 

export JAVA_HOME=/usr/local/jdk1.8.0_121

export PATH=$PATH:$JAVA_HOME/bin

 

source /home/hadoop/.bash_profile

zk-master-la01节点操作

tar -zxvf zookeeper-3.4.61.tar.gz –C /usr/local/

cd /usr/local/zookeeper-3.4.6/conf

 

配置zookeerper文件：

vim zoo.cfg

 

tickTime=2000

initLimit=10

syncLimit=5

dataDir=/opt/zookeeper/data

clientPort=2181

server.1=zk-master-la01:2888:3888

server.2=zk-master-la02:2888:3888

server.3=slave-01:2888:3888

 

#创建data数据目录

mkdir -p /opt/zookeeper/data/

echo "1" >> /opt/zookeeper/data/myid

#scp分别传输多台节点

vim host.txt

zk-master-la01

zk-master-la02

zk-la03

slave-01

slave-02

 

for i in `cat /root/host.txt`;do echo $i;scp -r /usr/local/zookeeper-3.4.5-cdh5.10.0 [email protected]$i:/usr/local/zookeeper-3.4.5-cdh5.10.0 ;done

 

zk-master-la02操作

#注意改下myid 2

mkdir –p /opt/zookeeper/data/

echo "2" >> /opt/zookeeper/data/myid

 

zk-la03操作

#注意改下myid 3

mkdir -p /opt/zookeeper/data/

echo "3" >> /opt/zookeeper/data/myid

 

#zk-master-la01操作

/usr/local/zookeeper-3.4.6/bin/zkServer.sh start

/usr/local/zookeeper-3.4.6/bin/zkServer.sh stop

//usr/local/zookeeper-3.4.6/bin/zkServer.sh status

 

#zk-master-la02操作

/usr/local/zookeeper-3.4.6/bin/zkServer.sh start

 

#zk-la03操作

/usr/local/zookeeper-3.4.6/bin/zkServer.sh start

 

1.3、部署hadoop双机HA-namenode

hadoop解压到/usr目录

tar -zxvf hadoop-2.6.0-cdh5.7.5.tar.gz -C /usr/local/

 

cd /usr/local/hadoop-2.6.0-cdh5.7.5/etc/hadoop

编辑修改内容如下：

vim core-site.xml

<?xml version="1.0" encoding="utf-8"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

 

<configuration>

<property>

<name>fs.defaultFS</name>

<value>hdfs://ns</value>

</property>

<property>

<name>hadoop.tmp.dir</name>

<value>/opt/hadoop/temp</value>

</property>

<property>

<name>io.file.buffer.size</name>

<value>4096</value>

</property>

<property>

<name>ha.zookeeper.quorum</name>

<value>zk-master-la01:2181,zk-master-la02:2181,zk-la03:2181</value>

</property>

<property>

<name>hadoop.proxyuser.hive.hosts</name>

<value>*</value>

</property>

<property>

<name>hadoop.proxyuser.hive.groups</name>

<value>*</value>

</property>

</configuration>

 

vim hdfs-site.xml

<?xml version="1.0" encoding="utf-8"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<configuration>

<!--指定hdfs的nameservice为ns，需要和core-site.xml中的保持一致 -->

<property>

<name>dfs.nameservices</name>

<value>ns</value>

</property>

<property>

<name>dfs.ha.namenodes.ns</name>

<value>namenode1,namenode2</value>

</property>

<property>

<name>dfs.namenode.rpc-address.ns.namenode1</name>

<value>zk-master-la01:8020</value>

</property>

<property>

<name>dfs.namenode.http-address.ns.namenode1</name>

<value>zk-master-la01:50070</value>

</property>

<property>

<name>dfs.namenode.rpc-address.ns.namenode2</name>

<value>zk-master-la02:8020</value>

</property>

<property>

<name>dfs.namenode.http-address.ns.namenode2</name>

<value>zk-master-la02:50070</value>

</property>

    <property>

        <name>dfs.namenode.secondary.http-address</name>

        <value>zk-master-la01:50090</value>

        </property>

<property>

<name>dfs.namenode.shared.edits.dir</name>

<value>qjournal://zk-la03:8485;zk-master-la02:8485;zk-master-la01:8485/ns</value>

</property>

<property>

<name>dfs.journalnode.edits.dir</name>

<value>/opt/hadoop/journal</value>

</property>

<property>

<name>dfs.ha.automatic-failover.enabled</name>

<value>true</value>

</property>

<property>

<name>dfs.client.failover.proxy.provider.ns</name>

<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>

</property>

<property>

<name>dfs.ha.fencing.methods</name>

<value>sshfence</value>

</property>

<property>

<name>dfs.ha.fencing.ssh.private-key-files</name>

<value>/home/hadoop/.ssh/id_rsa</value>

</property>

<property>

<name>dfs.namenode.name.dir</name>

<value>file:/opt/hadoop/name</value>

</property>

<property>

<name>dfs.datanode.data.dir</name>

<value>file:/opt/hadoop/data</value>

</property>

<property>

<name>dfs.replication</name>

<value>2</value>

</property>

<property>

<name>dfs.webhdfs.enabled</name>

<value>true</value>

</property>

</configuration>

 

Vim mapred-site.xml

 

<property>

<name>mapreduce.framework.name</name>

<value>yarn</value>

</property>

 

Vim yarn-site.xml

<?xml version="1.0" encoding="utf-8"?>

 

<configuration>

<property>

<name>yarn.nodemanager.aux-services.mapreduce_shuffle.class</name>

<value>org.apache.hadoop.mapred.ShuffleHandler</value>

</property>

<property>

<name>yarn.resourcemanager.ha.enabled</name>

<value>true</value>

</property>

<property>

<name>yarn.resourcemanager.cluster-id</name>

<value>yrc</value>

</property>

<property>

<name>yarn.resourcemanager.ha.rm-ids</name>

<value>rm1,rm2</value>

</property>

<property>

<name>yarn.resourcemanager.hostname.rm1</name>

<value>zk-master-la01</value>

</property>

<property>

<name>yarn.resourcemanager.hostname.rm2</name>

<value>zk-master-la02</value>

</property>

<property>

<name>yarn.resourcemanager.zk-address</name>

<value>zk-master-la01:2181,zk-master-la02:2181,zk-la03:2181</value>

</property>

<property>

<name>yarn.nodemanager.aux-services</name>

<value>mapreduce_shuffle</value>

</property>

</configuration>

 

cat yarn-env.sh

#如果需要日志目录指定目录需手动更改env日志目录，默认不更改。

export JAVA_HOME=/usr/local/jdk1.8.0_121

export YARN_LOG_DIR=/var-logs/hadoop/logs

 

cat hadoop-env.sh

export JAVA_HOME=/usr/local/jdk1.8.0_121

export HADOOP_SSH_OPTS="-p 22"

export HADOOP_LOG_DIR=/var/hadoop/logs

export HADOOP_SECURE_DN_LOG_DIR=$HADOOP_LOG_DIR

 

Scp 分发节点

vim host.txt

zk-master-la01

zk-master-la02

zk-la03

slave-01

slave-02

 

for i in `cat /root/host.txt`;do echo $i;scp -r /usr/local/ hadoop-2.6.0-cdh5.7.5 [email protected]$i:/usr/local/ hadoop-2.6.0-cdh5.7.5 ;done

 

hdfs启动命令

注意首次初始化启动命令和之后启动的命令是不同的，首次启动比较复杂，步骤不对的话就会报错，不过之后就好了

首次启动命令

1、首先启动各个节点的Zookeeper，在各个节点上执行以下命令：

bin/zkServer.sh start

2、在某一个namenode节点执行如下命令，创建命名空间

hdfs zkfc -formatZK

3、在每个journalnode节点用如下命令启动journalnode

sbin/hadoop-daemon.sh start journalnode

4、在主namenode节点用格式化namenode和journalnode目录

hdfs namenode -format ns

5、在主namenode节点启动namenode进程

sbin/hadoop-daemon.sh start namenode

6、在备namenode节点执行第一行命令，这个是把备namenode节点的目录格式化并把元数据从主namenode节点copy过来，并且这个命令不会把journalnode目录再格式化了！然后用第二个命令启动备namenode进程！

hdfs namenode -bootstrapStandby

sbin/hadoop-daemon.sh start namenode

7、在两个namenode节点都执行以下命令

sbin/hadoop-daemon.sh start zkfc

8、在所有datanode节点都执行以下命令启动datanode

sbin/hadoop-daemon.sh start datanode

9、在两个namenode节点都执行以下命令

yarn-daemon.sh start resourcemanager

10、在所有datanode节点都执行以下命令启动

yarn-daemon.sh start nodemanager

日常启停命令

sbin/start-dfs.sh

sbin/stop-dfs.sh

 

验证

首先在浏览器分别打开两个节点的namenode状态，其中一个显示active，另一个显示standby

然后在active所在的namenode节点执行jps，杀掉相应的namenode进程

前面standby所对应的namenode变成active

1.4、Hbase双机Hmaster安装

解压至安装目录下

tar -zxvf hbase-1.2.0-cdh5.7.5.tar.gz -C /usr/local/

chown -R hbase:hbase /usr/local/hbase-1.2.0-cdh5.7.5

编辑环境变量并使其生效

Note：这一步在 HBase 集群中的所有节点上都完成

vim /home/hadoop/.bash_profile

添加如下：

export JAVA_HOME=/usr/local/jdk1.8.0_121

export PATH=$PATH:$JAVA_HOME/bin

export HADOOP_HOME=/usr/local/hadoop-2.6.0-cdh5.7.5

export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin

export zk=/usr/local/zookeeper-3.4.5-cdh5.7.5

export PATH=$PATH:$zk/bin

export HBASE_HOME=/usr/local/hbase-1.2.0-cdh5.7.5

export PATH=$PATH:$HBASE_HOME/bin

最后环境变量生效：

source /home/hadoop/.bash_profile

 

编辑配置更改内容

vim /usr/local/hbase-1.2.0-cdh5.7.5/conf/hbase-env.sh

添加如下：

export JAVA_HOME=/usr/local/jdk1.8.0_121

export HBASE_CLASSPATH=/usr/local/hadoop-2.6.0-cdh5.7.5/etc/hadoop

export HBASE_HEAPSIZE=4000

export HBASE_LOG_DIR=/var/hadoop/hbase/logs

export HBASE_MANAGES_ZK=false

 

其中JAVA_HOME 和 HBASE_CLASSPATH 根据实际情况进行配置

HBASE_HEAPSIZE 的大小根据你的集群配置，默认是 1000

HBASE_LOG_DIR 是 HBase 日志存放位置

HBASE_MANAGES_ZK=false 含义为 hbase 不托管 zookeeper 的启动与关闭，因为笔者的 ZooKeeper 是独立安装的

 

vim /usr/local/hbase-1.2.0-cdh5.7.5/conf/hbase-site.xml

 

<?xml version="1.0" encoding="utf-8"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<configuration>

<property>

<name>hbase.rootdir</name>

<value>hdfs://ns:8020/hbase</value>

</property>

 

<property>

<name>hbase.cluster.distributed</name>

<value>true</value>

</property>

 

<property>

<name>hbase.master</name>

<value>60000</value>

</property>

<property>

<name>hbase.tmp.dir</name>

<value>/opt/hbase/data/hbase-tmp</value>

</property>

 

<property>

<name>hbase.zookeeper.quorum</name>

<value>zk-master-la01,zk-master-la02,zk-la03</value>

</property>

 

<property>

<name>hbase.zookeeper.property.dataDir</name>

<value>/opt/zookeeper/data</value>

</property>

 

<property>

<name>hbase.zookeeper.property.clientPort</name>

<value>2181</value>

</property>

 

<property>

<name>zookeeper.session.timeout</name>

<value>120000</value>

</property>

 

<property>

<name>hbase.regionserver.restart.on.zk.expire</name>

<value>true</value>

</property>

</configuration>

 

 

配置 regionservers

在这里列出了希望运行的全部 Regionserver ，一行写一个主机名（就像 Hadoop 中的 slaves 一样）。这里列出的 Server 会随着集群的启动而启动，集群的停止而停止。

vim regionservers

添加如下：

Zk-la03

Slave-01

Slave-02

 

替换 Hadoop 的 jar 包使用如下命令：

cp /usr/local/hadoop-2.6.0-cdh5.7.5/share/hadoop/common/hadoop-common-2.6.0-cdh5.7.5.jar /usr/local/hbase-1.2.0-cdh5.7.5/lib/

 

移除 HBase 里面的不必要 log4j 的 jar 包

cd /usr/local/hbase-1.2.0-cdh5.7.5/lib/

mv slf4j-log4j12-1.7.5.jar slf4j-log4j12-1.7.5.jar.bak

如果不移除的话，将会出现以下 warning :

分发 HBase

chown -R hbase:hbase /usr/local/hbase-1.2.0-cdh5.7.5

 

vim host.txt

zk-master-la01

zk-master-la02

zk-la03

slave-01

slave-02

 

for i in `cat /root/host.txt`;do echo $i;scp -r /usr/local/ hbase-1.2.0-cdh5.7.5 [email protected]$i:/usr/local/hbase-1.2.0-cdh5.7.5 ;done

 

多台创建日志和数据目录

mkdir -p /var/hadoop/hbase/logs

chown -R hadoop:hadoop /var/hadoop/hbase/logs

chown -R hadoop:hadoop /opt/hbase/data/

chown -R hadoop:hadoop /usr/local/hbase-1.2.0-cdh5.7.5/

 

su hdfs

cat hadoop-fs-hbase.sh

#!/bin/sh

echo 'hdfs fs -mkdir /hbase'

/usr/local/hadoop-2.6.0-cdh5.10.0/bin/hadoop fs -mkdir /hbase

/usr/local/hadoop-2.6.0-cdh5.10.0/bin/hadoop fs -chown hbase:hbase /hbase

 

启动并检验 HBase

 启动 HBase

友情提醒：在启动之前，笔者已经将 ZooKeeper 和 Hadoop （至少是 HDFS）给启动了。

1. 在其中一台主机上启动 Hmaster，即笔者在 master5 上，执行以下命令

start-hbase.sh

 在另一台 Hmaster 的主机上，即笔者在 master52 上，执行以下命令

hbase-daemon.sh start master

查看 master-la01上的日志

在其中一个 ZooKeeper 机子上，可以查看相应的 znode 点，例如在 slave-01 上执行

zkCli.sh

查看相应进程

 

HDFS 上 /hbase 目录

在 master-la01 上查看启动 HBase 后在 HDFS 上产的目录。该路径是由 hbase.rootdir 属性参数所决定的

hadoop fs -ls -R /hbase

 

 

验证

在浏览器上查看具体信息

Zk-master-la01：60010

Zk-master-la02

模拟 master-la01 失效后 ，Hmaster 故障切换

补充：关闭集群 
Note：在关闭之前请确保 ZooKeeper 并没有关闭！

stop-hbase.sh

 

1.5、Hive双机hive2 server安装

解压至安装目录下

tar -zxvf hive-1.1.0-cdh5.10.0.tar.gz -C /usr/local/

chown -R hive:hive /usr/local/hive-1.1.0-cdh5.10.0

编辑配置修改内容

添加修改以下内容

hive-env.sh

export HADOOP_HOME=/usr/local/hadoop-2.6.0-cdh5.10.0

export HIVE_CONF_DIR=/usr/local/hive-1.1.0-cdh5.10.0/conf

 

zk-la03操作

vim /usr/local/hive-1.1.0-cdh5.10.0/conf/hive-site.xml

<?xml version="1.0" encoding="UTF-8"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<configuration>

<property>

<name>hive.exec.scratchdir</name>

<value>hdfs://ns:8020/hive/scratchdir</value>

</property>

<property>

<name>hive.metastore.warehouse.dir</name>

<value>hdfs://ns:8020/hive/warehouse</value>

</property>

<property>

<name>hive.querylog.location</name>

<value>/var-logs/hive/logs</value>

</property>

<property>

<name>javax.jdo.option.ConnectionURL</name>

<value>jdbc:mysql://zk-master-la01:3306/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>hive</value>

</property>

<property>

<name>hive.server2.logging.operation.log.location</name>

<value>/var-logs/hive/logs/operation_logs</value>

</property>

    <property>

        <name>hive.server2.support.dynamic.service.discovery</name>

        <value>true</value>

    </property>

    <property>

        <name>hive.server2.zookeeper.namespace</name>

        <value>hiveserver2_zk</value>

    </property>

    <property>

        <name>hive.zookeeper.quorum</name>

        <value>zk-master-la01,zk-master-la02,zk-la03</value>

    </property>

    <property>

        <name>hive.zookeeper.client.port</name>

        <value>2181</value>

    </property>

    <property>

        <name>hive.server2.thrift.bind.host</name>

        <value>$myip</value>

    </property>

    <property>

        <name>hive.server2.thrift.port</name>

        <value>10001</value>

    </property>

</configuration>

 

分发slave节点metaserver

Scp –r /usr/local/hive-1.1.0-cdh5.10.0/conf/hive-site.xml [email protected]:/usr/local/hive-1.1.0-cdh5.10.0/conf/hive-site.xml

 

Zk-master-la01操作

Mysql安装

cat mysqlserver.sh

#!/bin/sh

echo "yum------ mysql"

yum -y install mysql-server

 

service mysqld start

chkconfig mysqld on

mysqladmin -uroot password [email protected]

 

mysql -uroot -p'[email protected]' -S /var/lib/mysql/mysql.sock << _EOF_

create database hive;

grant all on hive.* to [email protected]'zk-master-la01' identified by 'hive';

grant all on hive.* to [email protected]'%' identified by 'hive';

flush privileges;

exit

_EOF_

echo "create---- hive -----amon---ok"

 

vim /usr/local/hive-1.1.0-cdh5.10.0/conf/hive-site.xml

#!/bin/sh

myip=`ifconfig eth0|grep 'inet addr'|grep -Po '(\d+\.){3}\d+'|head -1`

ms_uris="thrift://"

for slave in `cat /tmp/hadoop-slaves`;

do

ms_uris=$ms_uris$slave":9083,";

done

 

ms_uris=`(echo $ms_uris|sed 's/,$//')`

 

echo 'write hive hive-site.xml'

cat > /usr/local/hive-1.1.0-cdh5.10.0/conf/hive-site.xml << _EOF_

<?xml version="1.0" encoding="UTF-8"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<configuration>

<property>

<name>hive.exec.scratchdir</name>

<value>hdfs://ns:8020/hive/scratchdir</value>

</property>

<property>

<name>hive.metastore.warehouse.dir</name>

<value>hdfs://ns:8020/hive/warehouse</value>

</property>

<property>

<name>hive.querylog.location</name>

<value>/var-logs/hive/logs</value>

</property>

<property>

<name>hive.metastore.uris</name>

<value>$ms_uris</value>

</property>

<property>

<name>hive.server2.logging.operation.log.location</name>

<value>/var-logs/hive/logs/operation_logs</value>

</property>

    <property>

        <name>hive.server2.support.dynamic.service.discovery</name>

        <value>true</value>

    </property>

    <property>

        <name>hive.server2.zookeeper.namespace</name>

        <value>hiveserver2_zk</value>

    </property>

    <property>

        <name>hive.zookeeper.quorum</name>

        <value>zk-master-la01,zk-master-la02,zk-la03</value>

    </property>

    <property>

        <name>hive.zookeeper.client.port</name>

        <value>2181</value>

    </property>

    <property>

        <name>hive.server2.thrift.bind.host</name>

        <value>$myip</value>

    </property>

    <property>

        <name>hive.server2.thrift.port</name>

        <value>10001</value>

    </property>

 

</configuration>

分发master-HA节点hiveserver2

Scp –r /usr/local/hive-1.1.0-cdh5.10.0/conf/hive-site.xml [email protected]:/usr/local/hive-1.1.0-cdh5.10.0/conf/hive-site.xml

 

 

su hdfs

cat hadoop-fs-hive.sh

#!/bin/sh

echo 'hdfs fs -mkdir /hbase'

/usr/local/hadoop-2.6.0-cdh5.10.0/bin/hadoop fs -chown hbase:hbase /hbase

 

echo 'hdfs fs -mkdir /hive'

/usr/local/hadoop-2.6.0-cdh5.10.0/bin/hadoop fs -mkdir /hive

/usr/local/hadoop-2.6.0-cdh5.10.0/bin/hadoop fs -chown hive:hive /hive

/usr/local/hadoop-2.6.0-cdh5.10.0/bin/hadoop fs -mkdir /tmp

/usr/local/hadoop-2.6.0-cdh5.10.0/bin/hadoop fs -chown hive:hive /tmp

 

/usr/local/hadoop-2.6.0-cdh5.10.0/bin/hadoop fs -mkdir /user

/usr/local/hadoop-2.6.0-cdh5.10.0/bin/hadoop fs -mkdir -p /user/hive/warehouse

/usr/local/hadoop-2.6.0-cdh5.10.0/bin/hadoop fs -mkdir /user/hbase

/usr/local/hadoop-2.6.0-cdh5.10.0/bin/hadoop fs -mkdir /user/impala

/usr/local/hadoop-2.6.0-cdh5.10.0/bin/hadoop fs -mkdir /user/hdfs

 

/usr/local/hadoop-2.6.0-cdh5.10.0/bin/hadoop fs -chown -R hive:hive /user/hive

/usr/local/hadoop-2.6.0-cdh5.10.0/bin/hadoop fs -chown hbase:hbase /user/hbase

/usr/local/hadoop-2.6.0-cdh5.10.0/bin/hadoop fs -chown impala:impala /user/impala

 

启动节点

Zk-la03启动metastore

nohup /usr/local/hive-1.1.0-cdh5.10.0/bin/hive --service metastore >> /var-logs/hive/metastore_logs-nohup.out

 

slave-01启动metastore

nohup /usr/local/hive-1.1.0-cdh5.10.0/bin/hive --service metastore >> /var-logs/hive/metastore_logs-nohup.out

 

slave-02启动metastore

nohup /usr/local/hive-1.1.0-cdh5.10.0/bin/hive --service metastore >> /var-logs/hive/metastore_logs-nohup.out

 

Zk-master-la01启动hiveserver2

nohup /usr/local/hive-1.1.0-cdh5.10.0/bin/hive --service hiveserver2 >> /var-logs/hive/hiveserver2_logs-nohup.out &

 

Zk-master-la02启动hiveserver2

nohup /usr/local/hive-1.1.0-cdh5.10.0/bin/hive --service hiveserver2 >> /var-logs/hive/hiveserver2_logs-nohup.out &

 

验证

Zk-master-la01:10002

Zk-master-la02:10002