大数据环境搭建- cdh5.11.1 - hue安装

Posted 2020-11-04 Talk is cheap.show me the code

一、简介

hue是一个开源的apache hadoop ui系统，由cloudear desktop演化而来，最后cloudera公司将其贡献给了apache基金会的hadoop社区，它基于python框架django实现的。

通过使用hue，我们可以使用可视化的界面在web浏览器上与hadoop集群交互来分析处理数据，例如操作hdfs上的数据，运行MapReduce Job，查看HBase中的数据

二、安装

（1）下载

http://archive.cloudera.com/cdh5/cdh/5/

从这里下载cdh5.11.1的最新版本的hue，3.9.0版本，到本地，并上传到服务器，解压缩到app目录下

（2）必要的组件准备

需要先安装好mysql数据库

需要安装好下面的组件

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）编译

到hue的根目录下，运行

make apps

（4）配置

基础配置，打开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里设置代理用户，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>　

　加入这两个属性即可。

然后重启hadoop集群

sbin/stop-dfs.sh

sbin/stop-yarn.sh

sbin/start-dfs.sh

sbin/start-yarn.sh

 

配置hue与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）启动hue

先启动hive的metastore服务，和hiveserver2服务

nohup hive --service metastore &

nohup hive --service hiveserver2 &

 

再启动hue

nohup /home/hadoop/app/hue/build/env/bin/supervisor &

 

（6）访问hue

http://hadoop004:8888

　

可能会遇到的问题：

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)

这个问题是hadoop的core-site.xml配置的代理的用户和hue配置文件的用户不一致造成的。

比如，hadoop的core-site.xml是这样配置的

<property>
<name>hadoop.proxyuser.hue.hosts</name>
<value>*</value>
</property>
<property>
<name>hadoop.proxyuser.hue.groups</name>
<value>*</value>
</property>

代理用户是hue。

而hue里面是这样配置的：

# Webserver runs as this user
#server_user=hue
#server_group=hue

需要把server_user和server_group设置成hue，即可