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)

时间:2023-03-09 07:27:04
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

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)

 

  一、以下是默认的配置文件

 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)

 # 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= # 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)

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)

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)

  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= # 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。

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)

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

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)

<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:,bigdata-pro02.kfk.com:,bigdata-pro03.kfk.com:</value>
</property>
<property>
<name>yarn.resourcemanager.zk-address</name>
<value>bigdata-pro01.kfk.com:,bigdata-pro02.kfk.com:,bigdata-pro03.kfk.com:</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.iniHUE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)

# 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= # 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

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)

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)

欢迎大家,加入我的微信公众号:大数据躺过的坑        人工智能躺过的坑
 

同时,大家可以关注我的个人博客

   http://www.cnblogs.com/zlslch/   和     http://www.cnblogs.com/lchzls/      http://www.cnblogs.com/sunnyDream/   

   详情请见:http://www.cnblogs.com/zlslch/p/7473861.html

  人生苦短,我愿分享。本公众号将秉持活到老学到老学习无休止的交流分享开源精神,汇聚于互联网和个人学习工作的精华干货知识,一切来于互联网,反馈回互联网。
  目前研究领域:大数据、机器学习、深度学习、人工智能、数据挖掘、数据分析。 语言涉及:Java、Scala、Python、Shell、Linux等 。同时还涉及平常所使用的手机、电脑和互联网上的使用技巧、问题和实用软件。 只要你一直关注和呆在群里,每天必须有收获

对应本平台的讨论和答疑QQ群:大数据和人工智能躺过的坑(总群)(161156071)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)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)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)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)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) 

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)

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)

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)