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  • Ambari中添加新服务

    官网:

    https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=38571133

    一、背景

    栈的定义可以在源代码树中找到/ambari-server/src/main/resources/stacks。当你安装Ambari Server服务之后,栈的定义可以被发现/var/lib/ambari-server/resources/stacks

    二、结构

    一个栈的结构定义如下

    |_ stacks
    
       |_ <stack_name>
    
          |_ <stack_version>
    
             metainfo.xml
    
             |_ hooks
    
             |_ repos
    
                repoinfo.xml
    
             |_ services
    
                |_ <service_name>
    
                   metainfo.xml
    
                   metrics.json
    
                   |_ configuration
    
                      {configuration files}
    
                   |_ package
    
                      {files, scripts, templates}

    三、定义一个服务和组件

    在service里的metainfo.xml文件描述这个服务,服务的组件和管理脚本用于执行命令。一个组件的服务可以是MASTER,SLAVECLIENT类别。这个<category>告诉Ambari默认命令应该用于管理和监控组件。为每个组件指定< commandScript >执行命令时使用。有一个默认命令定义组件必须支持。

    Ambari支持不同的命令脚本用PYTHON编写的。类型是用来知道如何执行命令脚本。你也可以创建自定义命令除了default lifecycle commands之外你的组件需要去支持。

     

    例如,YARN Service描述ResourceManager组件配置metainfo.xml如下:

    <component>
      <name>RESOURCEMANAGER</name>
      <category>MASTER</category>
      <commandScript>
        <script>scripts/resourcemanager.py</script>
        <scriptType>PYTHON</scriptType>
        <timeout>600</timeout>
      </commandScript>
      <customCommands>
        <customCommand>
          <name>DECOMMISSION</name>
          <commandScript>
            <script>scripts/resourcemanager.py</script>
            <scriptType>PYTHON</scriptType>
            <timeout>600</timeout>
          </commandScript>
        </customCommand>
      </customCommands>
    </component>

    ResourceManager是一个MASTER组件,并且命令脚本是scripts/resourcemanager.py,可以被找到services/YARN/package目录,PYTHON命令脚本,脚本作为PYTHON方法实现default lifecycle commands。这是默认的安装方法安装命令:

    class Resourcemanager(Script):
      def install(self, env):
        self.install_packages(env)
        self.configure(env)

    你也可以看到一个自定义的命令定义DECOMMISSION,这意味着还有一个DECOMMISSION方法在python命令脚本:

    def decommission(self, env):
      import params
     
      ...
     
      Execute(yarn_refresh_cmd,
              user=yarn_user
      )
      pass

    四、使用堆栈继承

    栈可以扩展其他堆栈为了分享命令脚本和配置。这样可以减少重复的代码在栈使用以下:

    ·为子栈定义存储库

    ·在子栈添加新的服务(不是在父栈)

    ·覆盖父服务命令脚本

    ·覆盖父服务的配置

    五、例子:实现一个自定义服务

    在本例中,我们将创建一个名为“SAMPLESRV”的定制服务,将其添加到现有的栈的定义。

    此服务包括MASTER,SLAVE,CLIENT组件。

     

    创建并且添加服务

    1.Ambari Server上,浏览到/var/lib/ambari-server/resources/stacks/HDP/2.0.6/services这个目录。在这种情况下,我们将浏览到HDP 2.0的定义。

    cd /var/lib/ambari-server/resources/stacks/HDP/2.0.6/services

    2.创建一个目录/var/lib/ambari-server/resources/stacks/HDP/2.0.6/services/SAMPLESRV将包含SAMPLESRV的服务定义。

    mkdir /var/lib/ambari-server/resources/stacks/HDP/2.0.6/services/SAMPLESRV
    cd /var/lib/ambari-server/resources/stacks/HDP/2.0.6/services/SAMPLESRV

    3.浏览到新创建的SAMPLESRV目录,创建一个metainfo.xml文件去描述一个新的服务。例如:

    <?xml version="1.0"?>
    <metainfo>
        <schemaVersion>2.0</schemaVersion>
        <services>
            <service>
                <name>SAMPLESRV</name>
                <displayName>New Sample Service</displayName>
                <comment>A New Sample Service</comment>
                <version>1.0.0</version>
                <components>
                    <component>
                        <name>SAMPLESRV_MASTER</name>
                        <displayName>Sample Srv Master</displayName>
                        <category>MASTER</category>
                        <cardinality>1</cardinality>
                        <commandScript>
                            <script>scripts/master.py</script>
                            <scriptType>PYTHON</scriptType>
                            <timeout>600</timeout>
                        </commandScript>
                    </component>
                    <component>
                        <name>SAMPLESRV_SLAVE</name>
                        <displayName>Sample Srv Slave</displayName>
                        <category>SLAVE</category>
                        <cardinality>1+</cardinality>
                        <commandScript>
                            <script>scripts/slave.py</script>
                            <scriptType>PYTHON</scriptType>
                            <timeout>600</timeout>
                        </commandScript>
                    </component>
                    <component>
                        <name>SAMPLESRV_CLIENT</name>
                        <displayName>Sample Srv Client</displayName>
                        <category>CLIENT</category>
                        <cardinality>1+</cardinality>
                        <commandScript>
                            <script>scripts/sample_client.py</script>
                            <scriptType>PYTHON</scriptType>
                            <timeout>600</timeout>
                        </commandScript>
                    </component>
                </components>
                <osSpecifics>
                    <osSpecific>
                        <osFamily>any</osFamily>  <!-- note: use osType rather than osFamily for Ambari 1.5.0 and 1.5.1 -->
                    </osSpecific>
                </osSpecifics>
            </service>
        </services>
    </metainfo>

    4.在上面,我的服务名是"SAMPLESRV"它包含:

    ·一个MASTER组件“SAMPLESRV_MASTER”

    ·一个SLAVE组件“SAMPLESRV_SLAVE”

    ·一个CLIENT组件“SAMPLESRV_CLIENT”

    5.接下来,我们创建命令脚本。为命令脚本创建一个目录/var/lib/ambari-server/resources/stacks/HDP/2.0.6/services/SAMPLESRV/package/scripts我们制定的服务metainfo

    1 mkdir -p /var/lib/ambari-server/resources/stacks/HDP/2.0.6/services/SAMPLESRV/package/scripts
    2 cd /var/lib/ambari-server/resources/stacks/HDP/2.0.6/services/SAMPLESRV/package/scripts

    6.进入目录并创建.py的命令脚本文件。

    例如master.py文件:

    import sys
    from resource_management import *
    class Master(Script):
      def install(self, env):
        print 'Install the Sample Srv Master';
      def stop(self, env):
        print 'Stop the Sample Srv Master';
      def start(self, env):
        print 'Start the Sample Srv Master';
         
      def status(self, env):
        print 'Status of the Sample Srv Master';
      def configure(self, env):
        print 'Configure the Sample Srv Master';
    if __name__ == "__main__":
      Master().execute()

    例如slave.py文件

    import sys
    from resource_management import *
    class Slave(Script):
      def install(self, env):
        print 'Install the Sample Srv Slave';
      def stop(self, env):
        print 'Stop the Sample Srv Slave';
      def start(self, env):
        print 'Start the Sample Srv Slave';
      def status(self, env):
        print 'Status of the Sample Srv Slave';
      def configure(self, env):
        print 'Configure the Sample Srv Slave';
    if __name__ == "__main__":
      Slave().execute()

    例如sample_client.py文件

    import sys
    from resource_management import *
    class SampleClient(Script):
      def install(self, env):
        print 'Install the Sample Srv Client';
      def configure(self, env):
        print 'Configure the Sample Srv Client';
    if __name__ == "__main__":
      SampleClient().execute()

    7.重启Ambari Server

    ambari-server restart

    参考网址:

    https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=38571133

    https://github.com/hortonworks-gallery/ambari-zeppelin-service#option-2-automated-deployment-of-a-fresh-hdp-cluster-that-includes-zeppelin-via-blueprints

    https://github.com/Symantec/ambari-cassandra-service

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  • 原文地址:https://www.cnblogs.com/zeppelin/p/5767966.html
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