hue 4.2.0安装（使用MySQL作为元数据库）

1.安装依赖

yum install ant asciidoc cyrus-sasl-devel cyrus-sasl-gssapi cyrus-sasl-plain gcc gcc-c++ krb5-devel libffi-devel libxml2-devel libxslt-devel make mysql mysql-devel openldap-devel python-devel sqlite-devel  gmp-devel openssl-devel

2.maven安装
a.下载maven安装包
apache-maven-3.5.4-bin.zip
b.解压安装包
unzip apache-maven-3.5.4-bin.zip
c.改包名
mv apache-maven-3.5.4-bin.zip maven
d.更改配置文件
cd maven/conf
vi settings.xml

<mirrors>
     <mirror>
         <id>alimavenid>
         <mirrorOf>centralmirrorOf>
         <name>aliyun mavenname>
         <url>http://maven.aliyun.com/nexus/content/groups/public/url>
     mirror>

     <mirror>
         <id>uiid>
         <mirrorOf>centralmirrorOf>
         <name>Human Readable Name for this Mirror.name>
         <url>http://uk.maven.org/maven2/url>
     mirror>

     <mirror>
         <id>jboss-public-repository-groupid>
         <mirrorOf>centralmirrorOf>
         <name>JBoss Public Repository Groupname>
         <url>http://repository.jboss.org/nexus/content/groups/publicurl>
     mirror>
 mirrors>

e.配置环境变量
vi /etc/profile

export MAVEN_HOME=/usr/local/maven
export PATH=$JAVA_HOME/bin:$JAVA_HOME/jre/bin:$MAVEN_HOME/bin:$PATH

f.使环境变量生效
source /etc/profile

3.安装hue
a.下载安装包hue-4.2.0.tgz
官网：http://gethue.com/
b.解压安装包
tar -zxvf hue-4.2.0.tgz
c. cd hue-4.2.0.tgz
d. 安装
make apps
e. 如果编译出现问题就重新编译
make clean
make apps
f.配置hue

vi hue/desktop/conf/hue.ini

---

HUE

secret_key=
http_host=192.168.168.128
http_port=8888
time_zone=Asia/Shanghai
server_user=root
server_group=root
default_user=root
default_hdfs_superuser=root

---

database

engine=mysql
host=10.0.30.8
port=3306
user=root
password=111111
name=hive1    #元数据库名字

---

Hadoop/HDFS

fs_defaultfs=hdfs://192.168.168.128:9000
webhdfs_url=http://192.168.168.128:50070/webhdfs/v1
hadoop_conf_dir=/usr/local/hadoop/etc/Hadoop
hadoop_hdfs_home=/usr/local/Hadoop
hadoop_bin=/usr/local/hadoop/bin

---

YARN

resourcemanager_host=192.168.168.128
resourcemanager_port=8032
hadoop_conf_dir=/usr/local/hadoop/etc/Hadoop
hadoop_mapred_home=/usr/local/Hadoop
hadoop_bin=/usr/local/hadoop/bin
resourcemanager_api_url=http://192.168.168.128:8088
proxy_api_url=http://192.168.168.128:8088
history_server_api_url=http://192.168.168.128:19888

---

Hive

hive_server_host=192.168.168.128
hive_server_port=10000
hive_conf_dir=/usr/local/hive/conf

---

mysql

nice_name="My SQL DB"
name=hive1
engine=mysql
host=10.0.30.8
port=3306
user=root
password=111111

---

HBase

hbase_clusters=(Cluster|master:9090)
hbase_conf_dir=/home/hadoop/hbase-1.0.1.1/conf

---

Pig

# Location of piggybank.jar on local filesystem.
## local_sample_dir=/usr/share/hue/apps/pig/examples
# Location piggybank.jar will be copied to in HDFS.
## remote_data_dir=/user/hue/pig/examples

---

Sqoop2

server_url=http://master:12000/sqoop
sqoop_conf_dir=/home/sqoop-1.99.6/conf

---

g.hadoop配置
vi hdfs-site.xml

<property>
  <name>dfs.webhdfs.enabledname>
  <value>truevalue>
property>

vi core-site.xml

<property> 
　　<name>dfs.webhdfs.enabledname> 
　　<value>truevalue> 
property>
<property>
     <name>hadoop.proxyuser.root.hostsname>
     <value>*value>
property>
<property>
     <name>hadoop.proxyuser.root.groupsname>
     <value>*value>
property>
<property>  
    <name>hadoop.proxyuser.httpfs.hostsname>  
    <value>*value>  
property>  
<property>  
    <name>hadoop.proxyuser.httpfs.groupsname>  
    <value>*value>  
property> 

h.分发给各个节点
i.初始化用户、数据库并启动

bin/hue syncdb
bin/hue migrate
./supervisor