HUE配置文件hue.ini 的yarn_clusters模块详解（图文详解）（分HA集群和非HA集群）

不多说，直接上干货！

　　我的集群机器情况是 bigdatamaster（192.168.80.10）、bigdataslave1（192.168.80.11）和bigdataslave2（192.168.80.12）

　　然后，安装目录是在/home/hadoop/app下。

　　官方建议在master机器上安装Hue，我这里也不例外。安装在bigdatamaster机器上。

　Hue版本：hue-3.9.0-cdh5.5.4

 需要编译才能使用（联网）


　说给大家的话：大家电脑的配置好的话，一定要安装cloudera manager。毕竟是一家人的。
同时，我也亲身经历过，会有部分组件版本出现问题安装起来要个大半天时间去排除，做好心里准备。废话不多说，因为我目前读研，自己笔记本电脑最大8G，只能玩手动来练手。
纯粹是为了给身边没高配且条件有限的学生党看的！ 但我已经在实验室机器群里搭建好cloudera manager 以及 ambari都有。

大数据领域两大最主流集群管理工具Ambari和Cloudera Manger

Cloudera安装搭建部署大数据集群（图文分五大步详解）（博主强烈推荐）

Ambari安装搭建部署大数据集群（图文分五大步详解）（博主强烈推荐）

　　首先，这是官网提供的参考步骤

http://archive.cloudera.com/cdh5/cdh/5/hue-3.9.0-cdh5.5.0/manual.html

 

　

　　一、以下是默认的配置文件

 

 # Configuration for YARN (MR2)
  # ------------------------------------------------------------------------
  [[yarn_clusters]]

    [[[default]]]
      # Enter the host on which you are running the ResourceManager
      ## resourcemanager_host=localhost

      # 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://localhost:8088

      # URL of the ProxyServer API
      ## proxy_api_url=http://localhost:8088

      # URL of the HistoryServer API
      ## history_server_api_url=http://localhost:19888

      # In secure mode (HTTPS), if SSL certificates from YARN Rest APIs
      # have to be verified against certificate authority
      ## ssl_cert_ca_verify=True

    # HA support by specifying multiple clusters
    # e.g.

    # [[[ha]]]
      # Resource Manager logical name (required for HA)
      ## logical_name=my-rm-name

　　二、以下是跟我机器集群匹配的配置文件（非HA集群下怎么配置Hue的yarn_clusters模块）

 

 

 

 　　最终我的非HA配置信息如下

  # Configuration for YARN (MR2)
  # ------------------------------------------------------------------------
  [[yarn_clusters]]

    [[[default]]]
      # Enter the host on which you are running the ResourceManager
      resourcemanager_host=bigdatamaster

      # 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://bigdatamaster:8088

      # URL of the ProxyServer API
      proxy_api_url=http://bigdatamaster:8088

      # URL of the HistoryServer API
      history_server_api_url=http://bigdatamaster:19888

      # In secure mode (HTTPS), if SSL certificates from YARN Rest APIs
      # have to be verified against certificate authority
      ## ssl_cert_ca_verify=True

    # HA support by specifying multiple clusters
    # e.g.

    # [[[ha]]]
      # Resource Manager logical name (required for HA)
      ## logical_name=my-rm-name

　　三、以下是跟我机器集群匹配的配置文件（HA集群下怎么配置Hue的yarn_clusters模块）

    hadoop-2.6.0.tar.gz的集群搭建（5节点）

 　　这里需要说明一下，[[[default]]] 和 [[ha]]中各配置一个RM。

 

  logical_name名字就是你集群中yarn-site.xml中配置的 

<property> 
        <name>yarn.resourcemanager.ha.rm-ids</name>  
        <value>rm1,rm2</value> 
</property> 

     URL of the ResourceManager API 这里配置资源管理的地址和端口，对应yarn-site.xml中的

<property>
         <name>yarn.resourcemanager.webapp.address.rm1</name>
         <value>djt11:8088</value>
</property>


<property>
         <name>yarn.resourcemanager.webapp.address.rm2</name>
         <value>djt12:8088</value>
</property>

　　　

　　那么就要如下来配置

# URL of the ResourceManager API
resourcemanager_api_url=djt11:8088,djt12:8088

   URL of the HistoryServer API 这里配置历史记录资源管理的地址和端口，对应mapred-site.xml中的

<property>
              <name>mapreduce.jobhistory.webapp.address</name>
              <value>djt13:19888</value>
</property>

　　

　　所以，我的HA最终如下配置

# Configuration for YARN (MR2)
# ------------------------------------------------------------------------
[[yarn_clusters]]

[[[default]]]
# Enter the host on which you are running the ResourceManager
resourcemanager_host=cluster1

# 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=rm1

# Change this if your YARN cluster is Kerberos-secured
## security_enabled=false

# URL of the ResourceManager API
resourcemanager_api_url=http://djt11:8088

# URL of the ProxyServer API
proxy_api_url=http://djt13:8088

# URL of the HistoryServer API
history_server_api_url=http://bigdatamaster:19888

# In secure mode (HTTPS), if SSL certificates from YARN Rest APIs
# have to be verified against certificate authority
## ssl_cert_ca_verify=True

# HA support by specifying multiple clusters
# e.g.

# [[[ha]]]
# Resource Manager logical name (required for HA)
logical_name=rm2
resourcemanager_api_url=http://djt12:23188
history_server_api_url=http://djt13:19888
submit_to=True

　　

　　成功！

　　　　或者，HA集群也可以如下来做

　　我们首先查看yarn-site.xml

<configuration>

<!-- Site specific YARN configuration properties -->
    <property>
        <name>yarn.resourcemanager.cluster-id</name>
        <value>rs</value>
    </property>
    <property>
        <name>yarn.resourcemanager.ha.rm-ids</name>
        <value>rm1,rm2</value>
    </property>
    <property>
        <name>yarn.resourcemanager.hostname.rm1</name>
        <value>bigdata-pro01.kfk.com</value>
    </property>
    <property>
        <name>yarn.resourcemanager.hostname.rm2</name>
        <value>bigdata-pro02.kfk.com</value>
    </property>
    <property>
        <name>yarn.resourcemanager.zk.state-store.address</name>
        <value>bigdata-pro01.kfk.com:2181,bigdata-pro02.kfk.com:2181,bigdata-pro03.kfk.com:2181</value>
    </property>
    <property>
        <name>yarn.resourcemanager.zk-address</name>
        <value>bigdata-pro01.kfk.com:2181,bigdata-pro02.kfk.com:2181,bigdata-pro03.kfk.com:2181</value>
    </property>
    <property>
        <name>yarn.resourcemanager.recovery.enabled</name>
        <value>true</value>
    </property>
    <property>
        <name>yarn.resourcemanager.store.class</name>
        <value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value>
    </property>
    
    <property>
        <name>yarn.resourcemanager.ha.enabled</name>
        <value>true</value>
    </property>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
    <property>
        <name>yarn.nodemanager.aux-services.mapreduce_shuffle.class</name>
        <value>org.apache.hadoop.mapred.ShuffleHandler</value>
    </property>
</configuration>

　　以上，我的yarn-site.xml配置文件。

　　然后，修改配置hue.ini

# Configuration for YARN (MR2)
  # ------------------------------------------------------------------------
  [[yarn_clusters]]

    [[[default]]]
      # Enter the host on which you are running the ResourceManager
      resourcemanager_host=rs

      # 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://bigdata-pro01.kfk.com:8088

      # URL of the ProxyServer API
      proxy_api_url=http://bigdata-pro01.kfk.com:8088

      # URL of the HistoryServer API
      history_server_api_url=http://bigdata-pro01.kfk.com:19888

      # In secure mode (HTTPS), if SSL certificates from YARN Rest APIs
      # have to be verified against certificate authority
      ## ssl_cert_ca_verify=True

    # HA support by specifying multiple clusters
    # e.g.

    # [[[ha]]]
      # Resource Manager logical name (required for HA)
      ## logical_name=my-rm-name

 

 　　　　配置完成后，先停止yarn，再重新启动yarn，再重新启动hue。

 　　　　

参考

http://gethue.com/hadoop-tutorial-yarn-resource-manager-high-availability-ha-in-mr2/

http://www.cloudera.com/content/cloudera/en/documentation/core/latest/topics/cdh_ig_hue_config.html

http://cloudera.github.io/hue/docs-3.8.0/manual.html#_hadoop_configuration

 

 

 

 

 

 

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