环境：centos 6.6 x64 （学习用3节点）
软件：jdk 1.7 + hadoop 2.7.3 + hive 2.1.1
环境准备：
1、安装必要工具
yum -y install openssh wget curl tree screen nano lftp htop mysql-client mysql-server
2、使用163的yum源：
cd /etc/yum.repo.d/ wget http://mirrors.163.com/.help/CentOS7-Base-163.repo #备份 mv /etc/yum.repos.d/CentOS-Base.repo /etc/yum.repos.d/CentOS-Base.repo.backup mv CentOS7-Base-163.repo CentOS-Base.repo #生成缓存 yum clean all yum makecache
3、 关闭图形界面init 3:
vim /etc/inittab #将启动级别5更改为级别3字符界面启动
4、设置静态IP、修改主机名、hosts、
（1）规划
192.168.235.138 node1 192.168.235.139 node2 192.168.235.140 node3
下面在各个节点上，根据当前机器的规划设置IP、主机名、hosts
（2）静态IP（各个节点）
#方式一：使用setup在图形界面下设置 # setup #方式二：修改网络配置文件，一个完整的设置如下 # cat /etc/sysconfig/network-scripts/ifcfg-Auto_eth1 HWADDR=00:0C:29:2C:9F:4A TYPE=Ethernet BOOTPROTO=none IPADDR=192.168.235.139 PREFIX=24 GATEWAY=192.168.235.1 DNS1=192.168.235.1 DEFROUTE=yes IPV4_FAILURE_FATAL=yes IPV6INIT=no NAME="Auto eth1" UUID=2753c781-4222-47bd-85e7-44877cde27dd ONBOOT=yes LAST_CONNECT=1491415778
（3）主机名（各个节点）
# cat /etc/sysconfig/network NETWORKING=yes HOSTNAME=node1 #修改hostname的值
（4）hosts（各个节点）
# cat /etc/hosts # 在文件末尾添加如下内容 192.168.235.138 node1 192.168.235.139 node2 192.168.235.140 node3
5、关闭防火墙
# service iptables stop
# service iptables status
# chkconfig iptables off
6、建立普通用户
# useradd hadoop # passwd hadoop # visudo 在root ALL=(ALL) ALL行下面增加： hadoop ALL=(ALL) ALL
7、设置ssh免密码登录
方式一：自动部署脚本
# cat ssh.sh ERVERS="node1 node2 node3" PASSWORD=123456 BASE_SERVER=192.168.235.138 yum -y install expect auto_ssh_copy_id() { expect -c "set timeout -1; spawn ssh-copy-id $1; expect { *(yes/no)* {send -- yes ;exp_continue;} *assord:* {send -- $2 ;exp_continue;} eof {exit 0;} }" } ssh_copy_id_to_all() { for SERVER in $SERVERS do auto_ssh_copy_id $SERVER $PASSWORD done } ssh_copy_id_to_all
方式二：手动设置
ssh-keygen -t rsa #生成公钥 scp ~/.ssh/id_rsa.pub hadoop@192.168.235.139:~/ #使用scp或scp-copy-id 分发公钥到其他节点上
集群规划与安装
1、节点规划
规划：
node01:NameNode、DataNode、NodeManager、
node02:ResourceManager、DataNode、NodeManager、JobHisotry
node03:SecondaryNameNode、DataNode、NodeManager、
说明：注意节点功能的划分，DataNode存储数据，NodeManager处理数据，需要放在同一节点上，避免占用大量的网络带宽。
此处仅用于个人机器，学习使用。事实上，一个典型的生产环境示例如下
7台节点参考配置hadoop2.x （HA： 高可用） 主机名 IP地址 进程 cloud01 192.168.2.31 namenode zkfc cloud02 192.168.2.32 namenode zkfc cloud03 192.168.2.33 resourcemanager cloud04 192.168.2.34 resourcemanager cloud05 192.168.2.35 journalNode datanode nodemanager QuorumaPeerMain cloud06 192.168.2.36 journalNode datanode nodemanager QuorumaPeerMain cloud07 192.168.2.37 journalNode datanode nodemanager QuorumaPeerMain 备注： namenode： 管理元数据 resourcemanager： 用于资源控制 datanode ：用于存储数据 nodemanager：用于数据计算 journalNode： 用于共享元数据存储 zkfc: ZooKeeper failOverSwitch ，namenode失败切换 QuorumaPeerMain ： 是ZooKeeper启动进程
HA+zookeeper可以有效防止单点故障，实现自动故障转移。
摘自：http://blog.csdn.net/shenfuli/article/details/44889757
2、安装jdk、Hadoop
（1）安装JDK、Hadoop
上传软件包到服务器，并在软件包所在目录下编辑、运行如下脚本：
#!/bin/bash tar -zxvf jdk-7u79-linux-x64.tar.gz -C /opt/ tar -zxvf hadoop-2.7.3.tar.gz /usr/local/ cat >> /etc/profile << EOF export JAVA_HOME=/opt/jdk1.7.0_79/ export HADOOP_HOME=/usr/local/hadoop-2.7.3 export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOE/sbin EOF source /etc/profile
（2）预设Hadoop工作目录
mkdir -p hadoop/tmp mkdir -p hadoop/dfs/data mkdir -p hadoop/dfs/name mkdir -p hadoop/namesecondary
3、配置Hadoop
几个基本的配置文件如下：
# cd /usr/local/hadoop-2.7.3/etc/hadoop/ # ls -l | awk '{print $9}' core-site.xml hadoop-env.sh hdfs-site.xml mapred-site.xml slaves yarn-site.xml
配置内容如下：
（1）core-site.xml
<property>
<name>fs.defaultFS</name>
<value>hdfs://node1:9000</value>
</property>
<property>
<name>io.file.buffer.size</name>
<value>131072</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>file:/usr/hadoop/tmp</value>
<description>Abase for other temporary directories.</description>
</property>
<property>
<name>fs.trash.interval</name>
<value>1440</value>
</property>
（2）hadoop-env.sh
export JAVA_HOME=/opt/jdk1.7.0_79/
（3）hdfs-site.xml
<property>
<name>dfs.namenode.name.dir</name>
<value>file:///usr/hadoop/dfs/name</value>
<description></description>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:///usr/hadoop/dfs/data</value>
<description></description>
</property>
<property>
<name>dfs.namenode.secondary.http-address</name>
<value>node3:9001</value>
<description></description>
</property>
<property>
<name>dfs.namenode.checkpoint.dir</name>
<value>file:///usr/hadoop/namesecondary</value>
<description></description>
</property>
<property>
<name>dfs.replication</name>
<value>2</value>
<description>replication</description>
</property>
<property>
<name>dfs.webhdfs.enabled</name>
<value>true</value>
<description></description>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
<property>
<name>dfs.datanode.max.transfer.threads</name>
<value>4096</value>
</property>
（4）mapred-site.xml
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<property>
<name>mapreduce.jobhistory.address</name>
<value>node2:10020</value>
<description>MapReduce JobHistory Server host:port,Default port is 10020.</description>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>node2:19888</value>
<description>MapReduce JobHistory Server Web UI host:port Default port is 19888.</description>
</property>
<property>
<name>yarn.app.mapreduce.am.staging-dir</name>
<value>/history</value>
</property>
<property>
<name>mapreduce.jobhistory.done-dir</name>
<value>${yarn.app.mapreduce.am.staging-dir}/history/done</value>
</property>
<property>
<name>mapreduce.jobhistory.intermediate-done-dir</name>
<value>${yarn.app.mapreduce.am.staging-dir}/history/done_intermediate</value>
</property>
<property>
<name>mapreduce.map.log.level</name>
<value>DEBUG</value>
</property>
<property>
<name>mapreduce.reduce.log.level</name>
<value>DEBUG</value>
</property>
（5）slaves
node1
node2
node3
（6）yarn-site.xml
<property>
<name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
<!--Configurations for ResourceManager and NodeManager:-->
<!--
<property>
<name>yarn.acl.enable</name>
<value>false</value>
<description>Enable ACLs? Defaults to false.</description>
</property>
<property>
<name>yarn.admin.acl</name>
<value>Admin ACL</value>
<description>ACL to set admins on the cluster. ACLs are of for comma-separated-usersspacecomma-separated-groups. Defaults to special value of * which means anyone. Special value of just space means no one has access.</description>
</property>
<property>
<name>yarn.log-aggregation-enable</name>
<value>false</value>
<description>Configuration to enable or disable log aggregation</description>
</property>
-->
<!--Configurations for ResourceManager:-->
<property>
<name>yarn.resourcemanager.address</name>
<value>node2:8032</value>
<description>ResourceManager host:port for clients to submit jobs.host:port If set, overrides the hostname set in yarn.resourcemanager.hostname.</description>
</property>
<property>
<name>yarn.resourcemanager.scheduler.address</name>
<value>node2:8030</value>
<description>ResourceManager host:port for ApplicationMasters to talk to Scheduler to obtain resources.host:port If set, overrides the hostname set in yarn.resourcemanager.hostname.</description>
</property>
<property>
<name>yarn.resourcemanager.resource-tracker.address</name>
<value>node2:8031</value>
<description>ResourceManager host:port for NodeManagers:host:port If set, overrides the hostname set in yarn.resourcemanager.hostname.</description>
</property>
<property>
<name>yarn.resourcemanager.admin.address</name>
<value>node2:8033</value>
<description>ResourceManager host:port for administrative commands.:host:port If set, overrides the hostname set in yarn.resourcemanager.hostname.</description>
</property>
<property>
<name>yarn.resourcemanager.webapp.address</name>
<value>node2:8088</value>
<description>ResourceManager web-ui host:port.host:port If set, overrides the hostname set in yarn.resourcemanager.hostname.</description>
</property>
<property>
<name>yarn.resourcemanager.hostname</name>
<value>node2</value>
<description>host Single hostname that can be set in place of setting all yarn.resourcemanager*address resources. Results in default ports for ResourceManager components.</description>
</property>
<!--
<property>
<name>yarn.resourcemanager.scheduler.class</name>
<value>ResourceManager Scheduler class.</value>
<description>CapacityScheduler (recommended), FairScheduler (also recommended), or FifoScheduler</description>
</property>
<property>
<name>yarn.scheduler.minimum-allocation-mb</name>
<value>Minimum limit of memory to allocate to each container request at the Resource Manager.</value>
<description>In MBs</description>
</property>
<property>
<name>yarn.scheduler.maximum-allocation-mb</name>
<value>Maximum limit of memory to allocate to each container request at the Resource Manager.</value>
<description>In MBs</description>
</property>
<property>
<name>yarn.resourcemanager.nodes.include-path/ yarn.resourcemanager.nodes.exclude-path</name>
<value>List of permitted/excluded NodeManagers.</value>
<description>If necessary, use these files to control the list of allowable NodeManagers.</description>
</property>
-->
<!--Configurations for NodeManager:-->
<!--
<property>
<name>yarn.nodemanager.resource.memory-mb</name>
<value>Resource i.e. available physical memory, in MB, for given NodeManager</value>
<description>Defines total available resources on the NodeManager to be made available to running containers</description>
</property>
<property>
<name>yarn.nodemanager.vmem-pmem-ratio</name>
<value>Maximum ratio by which virtual memory usage of tasks may exceed physical memory</value>
<description>The virtual memory usage of each task may exceed its physical memory limit by this ratio. The total amount of virtual memory used by tasks on the NodeManager may exceed its physical memory usage by this ratio.</description>
</property>
<property>
<name>yarn.nodemanager.local-dirs</name>
<value>Comma-separated list of paths on the local filesystem where intermediate data is written.</value>
<description>Multiple paths help spread disk i/o.</description>
</property>
<property>
<name>yarn.nodemanager.log-dirs</name>
<value>Comma-separated list of paths on the local filesystem where logs are written.</value>
<description>Multiple paths help spread disk i/o.</description>
</property>
<property>
<name>yarn.nodemanager.log.retain-seconds</name>
<value>10800</value>
<description>Default time (in seconds) to retain log files on the NodeManager Only applicable if log-aggregation is disabled.</description>
</property>
<property>
<name>yarn.nodemanager.remote-app-log-dir</name>
<value>/logs</value>
<description>HDFS directory where the application logs are moved on application completion. Need to set appropriate permissions. Only applicable if log-aggregation is enabled.</description>
</property>
<property>
<name>yarn.nodemanager.remote-app-log-dir-suffix</name>
<value>logs</value>
<description>Suffix appended to the remote log dir. Logs will be aggregated to ${yarn.nodemanager.remote-app-log-dir}/${user}/${thisParam} Only applicable if log-aggregation is enabled.</description>
</property>
-->
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
<description>Shuffle service that needs to be set for Map Reduce applications. </description>
</property>
<property>
<name>yarn.log-aggregation-enable</name>
<value>true</value>
<description></description>
</property>
<property>
<name>yarn.log.server.url</name>
<value>http://node2:19888/jobhistory/logs</value>
<description></description>
</property>
注意：实际配置文件中尽量不要有中文
此配置仅供参考，使用时，去掉注释即可，也可根据自己情况增删配置
4、启动集群
（1）格式化NameNode
hadoop namenode -format #{HADOOP_HOME}/bin
（2）启动、关闭集群
几个常用启动命令
# ls -l | awk '{print $9}' start-all.sh/stop-all.sh #启动、关闭所有进程 start-dfs.sh/stop-dfs.sh #启动、关闭hdfs start-yarn.sh/stop-yarn.sh #启动、关闭yarn mr-jobhistory-daemon.sh #作业查看 hadoop-daemon.sh / hadoop-daemons.sh yarn-daemon.sh / yarn-daemons.sh start-balancer.sh/stop-balancer.sh #更新datanode的文件块分布情况
三种启动方式：
三种启动方式： 方式一：逐一启动（实际生产环境中的启动方式） hadoop-daemon.sh start|stop namenode|datanode| journalnode yarn-daemon.sh start |stop resourcemanager|nodemanager 方式二：分开启动 start-dfs.sh start-yarn.sh 方式三：一起启动 start-all.sh 作业查看服务： mr-jobhistory-daemon.sh start historyserver
部署Hive
启动Hadoop集群。需要注意的一点是Hive只在其中一台节点上部署即可，是没有Hive集群这个概念的。
1、启动、初始化MySQL
#启动mysql服务
service mysqld start
#加入到开机启动项
chkconfig mysqld on
#初始化配置mysql服务
/usr/bin/mysql_secure_installation
注：
问题：Host '192.168.235.138' is not allowed to connect to this MySQL server
解决办法：
mysql> grant all privileges on *.* to 'root'@'%' identified by 'root';
mysql> flush privileges;
2、安装、配置hive
（1）安装
tar -zxvf apache-hive-2.1.1-bin.tar.gz -C /usr/local/ cd /usr/local/ mv apache-hive-2.1.1-bin/ hive-2.1.1 find . -name "*.cmd" -exec rm -rf {} ;
（2）导入MySQL驱动
cp /usr/share/java/mysql-connector-java-commercial-5.1.25-bin.jar /usr/local/hive-2.1.1/lib/
注：如果没有需要先安装，yum -y install mysql-connector-java
（3）创建HDFS存储目录
hdfs dfs -mkdir -p /usr/hive/warehouse hdfs dfs -mkdir -p /usr/hive/tmp hdfs dfs -mkdir -p /usr/hive/log hdfs dfs -chmod g+w /usr/hive/warehouse hdfs dfs -chmod g+w /usr/hive/tmp hdfs dfs -chmod g+w /usr/hive/log
创建目录：
hadoop dfs -ls /usr/tmp hadoop dfs -mkdir -p /usr/tmp/hive/local hadoop dfs -mkdir -p /usr/tmp/hive/resources
（4）配置
备份文件
# pwd /usr/local/hive-2.1.1/conf # cp hive-env.sh.template hive-env.sh # cp hive-exec-log4j2.properties.template hive-exec-log4j2.properties # cp hive-log4j2.properties.template hive-log4j2.properties # cp hive-default.xml.template hive-site.xml
修改hive-site.xml
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://node1:3306/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>root</value>
</property>
<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>123456</value>
</property>
<property>
<name>hive.metastore.warehouse.dir</name>
<value>/usr/hive/warehouse</value>
</property>
<property>
<name>hive.exec.scratchdir</name>
<value>/usr/hive/tmp</value>
</property>
<property>
<name>hive.querylog.location</name>
<value>/usr/hive/log</value>
</property>
增加配置：
<property>
<name>hive.exec.scratchdir</name>
<value>/usr/tmp/hive</value>
</property>
<property>
<name>hive.exec.local.scratchdir</name>
<value>/usr/tmp/hive/local</value>
</property>
<property>
<name>hive.downloaded.resources.dir</name>
<value>/usr/tmp/hive/resources</value>
</property>
否则，会报错误：
Caused by: java.net.URISyntaxException: Relative path in absolute URI: ${system:java.io.tmpdir%7D/$%7Bsystem:user.name%7D
修改hive-env.sh
HADOOP_HOME=/usr/local/hadoop-2.7.3 export HIVE_CONF_DIR=/usr/local/hive-2.1.1/conf
（5）元数据初始化
# bin/schematool --help
# bin/schematool -dbType mysql -initSchema #元数据初始化
注：hive2需要元数据初始化，否则启动时会报错误：
# hive-2.1.1/bin/hive which: no hbase in ... SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory] Logging initialized using configuration in file:/usr/local/hive-2.1.1/conf/hive-log4j2.properties Async: true Exception in thread "main" java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient ... Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.RuntimeException: Unable to instantiate ... Caused by: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient ... Caused by: java.lang.reflect.InvocationTargetException ... Caused by: MetaException(message:Version information not found in metastore. ) ...
（6）启动
方式一：cli
# /usr/local/hive-2.1.1/bin/hive
方式二：webUI
i.打war包，并导入到hive的lib目录下
#下载、解压源码包 wget http://mirror.bit.edu.cn/apache/hive/stable-2/apache-hive-2.1.1-src.tar.gz tar -zxvf apache-hive-2.1.1-src.tar.gz #提取jsp文件并打包成war文件 cd apache-hive-2.1.1-src/hwi/ jar cfM hive-hwi-2.1.1.war -C web . #将war包导入到hive中 cp hive-hwi-2.1.1.war /usr/local/hive-2.1.1/lib/ cp /opt/jdk1.7.0_79/lib/tools.jar /usr/local/hive-2.1.1/lib/
注意：打war包时，如果jar不加“-C”参数指定目录执行，都会报错：
adding: session_kill.jspjava.util.zip.ZipException: duplicate entry: session_kill.jsp
ii.修改hive-site.xml
<property>
<name>hive.hwi.listen.host</name>
<value>0.0.0.0</value>
<description>This is the host address the Hive Web Interface will listen on</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>
<property>
<name>hive.hwi.war.file</name>
<value>lib/hive-hwi-2.1.1.war</value>
<description>This sets the path to the HWI war file, relative to ${HIVE_HOME}. </description>
</property>
iii.替换ant文件
wget http://124.205.69.164/files/823800000544EA17/mirror.bit.edu.cn/apache//ant/binaries/apache-ant-1.9.9-bin.tar.gz tar -zxvf apache-ant-1.9.9-bin.tar.gz -C /opt/ant #替换原来的文件 cp /opt/ant-1.9.9/lib/ant.jar /usr/local/hive-2.1.1/lib/ cp /opt/ant-1.9.9/lib/ant-launcher.jar /usr/local/hive-2.1.1/lib/
若若不替换ant文件，会报500错误，这是因为hive使用的版本为1.9.1的，需要使用本地的ant版本
The following error occurred while executing this line: jar:file:/usr/local/hive-2.1.1/lib/ant-1.9.1.jar!/org/apache/tools/ant/antlib.xml:37: Could not create task or type of type: componentdef.
参考：http://www.open-open.com/lib/view/open1433318284791.html
# 部署HUE(待续)
1、安装依赖
#!/bin/bash#!/bin/bash yum -y install asciidoc yum -y install cyrus-sasl-devel yum -y install cyrus-sasl-gssapi yum -y install cyrus-sasl-plain yum -y install gcc yum -y install gcc-c++ yum -y install krb5-devel yum -y install libffi-devel yum -y install libtidy #(for unit tests only) yum -y install libxml2-devel yum -y install libxslt-devel yum -y install make #mysql #已安装 yum -y install mysql-devel yum -y install openldap-devel yum -y install python-devel yum -y install sqlite-devel yum -y install openssl-devel #(for version 7+) yum -y install gmp-devel #安装ant wget wget http://mirror.bit.edu.cn/apache//ant/binaries/apache-ant-1.9.9-bin.tar.bz2 bzip2 -d apache-ant-1.9.9-bin.tar.bz2 tar xf apache-ant-1.9.9-bin.tar -C /opt/ cd /opt mv apache-ant-1.9.9/ ant-1.9.9 vim /etc/profile source /etc/profile #安装maven wget http://mirrors.tuna.tsinghua.edu.cn/apache/maven/maven-3/3.5.0/binaries/apache-maven-3.5.0-bin.tar.gz tar -zxvf apache-maven-3.5.0-bin.tar.gz -C /opt/ cd /opt/ mv apache-maven-3.5.0/ maven-3.5.0/ vim /etc/profile source /etc/profile
2、下载、编译Hue
下载地址：http://gethue.com/，不要选择github上的，编译时会报如下错误：
error: can't copy 'lib/Crypto/SelfTest/Random/OSRNG/test_posix.py': doesn't exist or not a regular file make[2]: *** [/usr/local/hue/desktop/core/build/pycrypto-2.6.1/egg.stamp] 错误 1 make[2]: Leaving directory `/usr/local/hue/desktop/core' make[1]: *** [.recursive-env-install/core] 错误 2 make[1]: Leaving directory `/usr/local/hue/desktop' make: *** [desktop] 错误 2
编译：
wget https://dl.dropboxusercontent.com/u/730827/hue/releases/3.12.0/hue-3.12.0.tgz
tar -zxvf hue-3.12.0.tgz -C /opt
cd /opt/hue-3.12.0/
make apps
编译成功后，hue所在目录下新增两个文件夹：app.reg、build
3、启动测试服务
./build/env/bin/hue runserver
打开浏览器访问127.0.0.1:8000，能正常访问说明编译成功，正式使用之前还需修改配置。
4、修改配置
（1）全局配置
# vim /opt/hue-3.12.0/desktop/conf/hue.ini 修改内容如下： 21 secret_key=c!@#$%^&*yy{146}[]<>?un`~:. #secret_key随便填写一个字符串即可，如果不填写的话Hue会提示错误信息，这个secret_key主要是出于安全考虑用来存储在session store中进行安全验证的。 29 http_host=192.168.235.140 34 time_zone=Asia/Shanghai #修改时区为亚洲时区
（2）修改MySQL为元数据库
hue默认使用sqlite作为元数据库，不推荐在生产环境中使用。会经常出现database is lock的问题。
i、修改hue.ini，配置MySQL信息如下：
[[database]] name=hue engine=mysql host=192.168.235.140 port=3306 user=root password=root
ii、创建并初始化MySQL元数据库
连接到MySQL，创建数据库hue。
初始化：
# ./build/env/bin/hue help # ./build/env/bin/hue syncdb # ./build/env/bin/hue migrate
初始化完成后，可以在Hue库中看到创建的表。启动服务，可在浏览器中正常访问。
5、启动服务
# ./build/env/bin/hue runserver
访问地址：主机名:8888
#可能遇到的错误及处理方法汇总
1、启动服务后，浏览器不能正常访问：OperationalError: (1045, "Access denied for user 'root'@'node3' (using password: YES)")
解决：连接到MySQL，执行如下操作：
mysql> grant all privileges on *.* to 'root'@'%' identified by 'root'; mysql> flush privileges;
2、启动服务后，浏览器不能正常访问：OperationalError: (1049, "Unknown database '/opt/hue-3.12.0/desktop/desktop.db'")
解决：可能是在配置MySQL（或其他元数据库）时，信息有误。以本文为例，在MySQL库中创建hue数据库，并在hue.ini中配置：
[[database]] engine=mysql host=node3 port=3306 user=root password=123456 name=hue
重启服务，问题得到解决
3、ProgrammingError: (1146, "Table 'hue.desktop_settings' doesn't exist")
可能的原因：使用MySQL（或其他数据库做元数据库）后，没有进行初始化操作。解决方法参考：修改MySQL为元数据库部分
Hue参考：
http://cloudera.github.io/hue/docs-3.12.0/manual.html
http://cloudera.github.io/hue/docs-3.12.0/sdk/sdk.html
安装配置和使用hue遇到的问题汇总 - https://my.oschina.net/aibati2008/blog/647493
https://github.com/cloudera/hue
https://github.com/cloudera/hue/wiki
http://ju.outofmemory.cn/entry/105162
