大數據環境搭建（3）- cdh5.11.1 - hue安裝
一、簡介
hue是一個開源的apache hadoop ui系統，由cloudear desktop演化而來，最後cloudera公司將其貢獻給了apache基金會的hadoop社區，它基於python框架django實現的。
通過使用hue，我們可以使用可視化的界面在web瀏覽器上與hadoop集群交互來分析處理數據，例如操作hdfs上的數據，運行MapReduce Job，查看HBase中的數據
二、安裝
（1）下載
http://archive.cloudera.com/cdh5/cdh/5/
從這裏下載cdh5.11.1的最新版本的hue，3.9.0版本，到本地，並上傳到服務器，解壓縮到app目錄下
（2）必要的組件準備
需要先安裝好mysql數據庫
需要安裝好下面的組件
sudo yum install ant asciidoc cyrus-sasl-devel cyrus-sasl-gssapi gcc gcc-c++ krb5-devel libtidy libxml2-devel libxslt-devel openldap-devel python-devel python-simplejson sqlite-devel gmp-devel -y（3）編譯
到hue的根目錄下，運行
make apps
（4）配置
基礎配置，打開desktop/conf/hue.ini文件
[desktop] # Set this to a random string, the longer the better. # This is used for secure hashing in the session store. secret_key=jFE93j;2[290-eiw.KEiwN2s3[‘d;/.q[eIW^y#e=+Iei*@Mn<qW5o # Webserver listens on this address and port http_host=hadoop001 http_port=8888 # Time zone name time_zone=Asia/Shanghai # Enable or disable Django debug mode. django_debug_mode=false # Enable or disable backtrace for server error http_500_debug_mode=false # Enable or disable memory profiling. ## memory_profiler=false # Server email for internal error messages ## django_server_email=‘[email protected]‘ # Email backend ## django_email_backend=django.core.mail.backends.smtp.EmailBackend # Webserver runs as this user server_user=hue server_group=hue # This should be the Hue admin and proxy user ## default_user=hue # This should be the hadoop cluster admin #default_hdfs_superuser=hadoop
配置hue集成hadoop
首先hadoop裏設置代理用戶，需要配置hadoop的core-site.xml
<property> <name>hadoop.proxyuser.hue.hosts</name> <value>*</value> </property> <property> <name>hadoop.proxyuser.hue.groups</name> <value>*</value> </property>
加入這兩個屬性即可。
然後重啟hadoop集群
sbin/stop-dfs.sh
sbin/stop-yarn.sh
sbin/start-dfs.sh
sbin/start-yarn.sh
配置hue與hadoop集成
[hadoop]
# Configuration for HDFS NameNode
# ------------------------------------------------------------------------
[[hdfs_clusters]]
# HA support by using HttpFs
[[[default]]]
# Enter the filesystem uri
fs_defaultfs=hdfs://hadoop001:8020
# NameNode logical name.
## logical_name=
# Use WebHdfs/HttpFs as the communication mechanism.
# Domain should be the NameNode or HttpFs host.
# Default port is 14000 for HttpFs.
webhdfs_url=http://hadoop001:50070/webhdfs/v1
# Change this if your HDFS cluster is Kerberos-secured
## security_enabled=false
# Default umask for file and directory creation, specified in an octal value.
## umask=022
# Directory of the Hadoop configuration
hadoop_conf_dir=/home/hadoop/app/hadoop/etc/hadoop
# Configuration for YARN (MR2)
# ------------------------------------------------------------------------
[[yarn_clusters]]
[[[default]]]
# Enter the host on which you are running the ResourceManager
resourcemanager_host=hadoop002
# The port where the ResourceManager IPC listens on
resourcemanager_port=8032
# Whether to submit jobs to this cluster
submit_to=True
# Resource Manager logical name (required for HA)
## logical_name=
# Change this if your YARN cluster is Kerberos-secured
## security_enabled=false
# URL of the ResourceManager API
resourcemanager_api_url=http://hadoop002:8088
# URL of the ProxyServer API
proxy_api_url=http://hadoop002:8088
# URL of the HistoryServer API
history_server_api_url=http://hadoop002:19888
# In secure mode (HTTPS), if SSL certificates from Resource Manager‘s
# Rest Server have to be verified against certificate authority
## ssl_cert_ca_verify=False
# HA support by specifying multiple clusters
# e.g.
# [[[ha]]]
# Resource Manager logical name (required for HA)
## logical_name=my-rm-name
# Configuration for MapReduce (MR1)
配置hue集成hive
[beeswax]
# Host where HiveServer2 is running.
# If Kerberos security is enabled, use fully-qualified domain name (FQDN).
hive_server_host=hadoop001
# Port where HiveServer2 Thrift server runs on.
hive_server_port=10000
# Hive configuration directory, where hive-site.xml is located
hive_conf_dir=/home/hadoop/app/hive/conf
# Timeout in seconds for thrift calls to Hive service
server_conn_timeout=120
（5）啟動hue
先啟動hive的metastore服務，和hiveserver2服務
nohup hive --service metastore & nohup hive --service hiveserver2 & 再啟動hue nohup /home/hadoop/app/hue/build/env/bin/supervisor &
（6）訪問hue
http://hadoop004:8888
可能會遇到的問題：
Failed to contact an active Resource Manager: YARN RM returned a failed response: { "RemoteException" : { "message" : "User: hue is not allowed to impersonate admin", "exception" : "AuthorizationException", "javaClassName" : "org.apache.hadoop.security.authorize.AuthorizationException" } } (error 403)
這個問題是hadoop的core-site.xml配置的代理的用戶和hue配置文件的用戶不一致造成的。
比如，hadoop的core-site.xml是這樣配置的
<property>
<name>hadoop.proxyuser.hue.hosts</name>
<value>*</value>
</property>
<property>
<name>hadoop.proxyuser.hue.groups</name>
<value>*</value>
</property>
代理用戶是hue。
而hue裏面是這樣配置的：
# Webserver runs as this user
#server_user=hue
#server_group=hue
需要把server_user和server_group設置成hue，即可
大數據環境搭建（3）- cdh5.11.1 - hue安裝