Hadoop YARN：ApplicationMaster与ResourceManager交互源码解析

大数据真有意思 2020-06-24

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ApplicationMaster<-->ResourceManager

“通用”YARN应用涉及的角色及交互：

RM：ResourceManager

AM：ApplicationMaster

NM：NodeManager

交互中用到的主要通信协议：

ApplicationClientProtocol

ApplicationMasterProtocol

ContainerManagementProtocol

Client<-->ResourceManager

客户端程序与RM进行交互，通过YarnClient对象来实现。

ApplicationMaster<-->ResourceManager

AM与RM进行交互，通过AMRMClientAsync对象来实现，

AMRMClientAsync.CallbackHandler异步处理事件信息。

ApplicationMaster<-->NodeManager

AM与NM进行交互，通过NMClientAsync对象来实现，主要是启动Container，

NMClientAsync.CallbackHandler异步处理Container事件。

接口请求和响应的proto message定义：

hadoop-yarn-project/hadoop-yarn/hadoop-yarn-api/src/main/proto/yarn_protos.proto。

Hadoop版本3.2.1

Flink版本1.10

1.以Flink中Yarn per-job模式下

JobManager------

进程YarnJobClusterEntrypoint为例

// 起点是YarnJobClusterEntrypoint#main方法

// 落点是YarnResourceManager

/**
 * The yarn implementation of the resource manager. Used when the system is started
 * via the resource framework YARN.
 */
public class YarnResourceManager extends ActiveResourceManager<YarnWorkerNode>
        implements AMRMClientAsync.CallbackHandler, NMClientAsync.CallbackHandler {
    // 传说中的ApplicationMaster
    ...
    /** resourceManagerClient与ResourceManager进行交互 Client to communicate with the Resource Manager (YARN's master). */
    private AMRMClientAsync<AMRMClient.ContainerRequest> resourceManagerClient;


    /** nodeManagerClient与NodeManager进行交互 Client to communicate with the Node manager and launch TaskExecutor processes. */
    private NMClientAsync nodeManagerClient;  
    ...        
}

AMRMClientAsync

abstract class（YARN应用需要自定义实现），用来处理与ResourceManager之间的通信和交互，它提供对事件的异步更新操作，比如Container的分配和资源使用结束。它包含一个线程，定期向ResourceManager发送心跳。

需要通过实现AMRMClientAsync.CallbackHandler回调接口来配合AMRMClientAsync。

2.简单实例MyCallbackHandler

AMRMClientAsync客户端生命周期

3.AMRMClientAsync部分源码

4.AMRMClientAsyncImpl部分源码

5.AMRMClient部分源码

package org.apache.hadoop.yarn.client.api;


import ...


// 抽象类AMRMClient
public abstract class AMRMClient<T extends AMRMClient.ContainerRequest> extends
    AbstractService {
  ...
}

6.AMRMClientImpl部分源码

7.ApplicationMasterProtocol部分源码

ApplicationMasterProtocol接口比较简单，只有三个方法

package org.apache.hadoop.yarn.api;


import ...
// 接口ApplicationMasterProtocol
public interface ApplicationMasterProtocol {
  // 向RM注册自己（AM）
  public RegisterApplicationMasterResponse registerApplicationMaster(RegisterApplicationMasterRequest request) 
  throws YarnException, IOException;
  
  // 告诉RM，让RM注销自己（AM），有可能AM已经成功执行结束，也有可能应用失败了
  public FinishApplicationMasterResponse finishApplicationMaster(FinishApplicationMasterRequest request) 
  throws YarnException, IOException;
  // AM与RM之间的主要接口（方法），处理AllocateRequest并返回AllocateResponse
  // 就是传说中的请求Container，是成批申请和响应的（比如Flink JobManager一次申请3个TaskManager）
  // 最多执行一次，不会重复和过度分配
  public AllocateResponse allocate(AllocateRequest request) 
  throws YarnException, IOException;
}

8.ApplicationMasterProtocolPBClientImpl部分源码

package org.apache.hadoop.yarn.api.impl.pb.client;


import ...


// 客户端ApplicationMasterProtocol接口的实现
public class ApplicationMasterProtocolPBClientImpl implements ApplicationMasterProtocol, Closeable {


  private ApplicationMasterProtocolPB proxy;


  public ApplicationMasterProtocolPBClientImpl(long clientVersion, InetSocketAddress addr,
      Configuration conf) throws IOException {
    RPC.setProtocolEngine(conf, ApplicationMasterProtocolPB.class, ProtobufRpcEngine.class);
    // 底层会调用java.lang.reflect.Proxy#newProxyInstance
    proxy =
        (ApplicationMasterProtocolPB) RPC.getProxy(ApplicationMasterProtocolPB.class, clientVersion,
          addr, conf);
  }
  ...
}

9.ApplicationMasterProtocolPB

package org.apache.hadoop.yarn.api;


import ...


@Private
@Unstable
@ProtocolInfo(protocolName = "org.apache.hadoop.yarn.api.ApplicationMasterProtocolPB",
    protocolVersion = 1)
public interface ApplicationMasterProtocolPB extends ApplicationMasterProtocolService.BlockingInterface {


}

10.ApplicationMasterProtocolService的定义

hadoop-yarn-project/hadoop-yarn/hadoop-yarn-api/src/main/proto/applicationmaster_protocol.proto

option java_package = "org.apache.hadoop.yarn.proto";
option java_outer_classname = "ApplicationMasterProtocol";
option java_generic_services = true;
option java_generate_equals_and_hash = true;
package hadoop.yarn;


import "yarn_service_protos.proto";


service ApplicationMasterProtocolService {
  rpc registerApplicationMaster (RegisterApplicationMasterRequestProto) returns (RegisterApplicationMasterResponseProto);
  rpc finishApplicationMaster (FinishApplicationMasterRequestProto) returns (FinishApplicationMasterResponseProto);
  rpc allocate (AllocateRequestProto) returns (AllocateResponseProto);
}

11.ApplicationMasterProtocolPBServiceImpl部分源码

ApplicationMasterProtocolPB接口的服务端（RM）实现

package org.apache.hadoop.yarn.api.impl.pb.service;


import ...


@Private
public class ApplicationMasterProtocolPBServiceImpl implements ApplicationMasterProtocolPB {


  private ApplicationMasterProtocol real;
  // ResourceManager启动时会通过此构造方法初始化real对象
  public ApplicationMasterProtocolPBServiceImpl(ApplicationMasterProtocol impl) {
    this.real = impl;
  }  
  ...
}

12.ApplicationMasterService部分源码

package org.apache.hadoop.yarn.server.resourcemanager;


import ...


@SuppressWarnings("unchecked")
@Private
public class ApplicationMasterService extends AbstractService implements
    ApplicationMasterProtocol {
  // 最终会调用到这里的方法并返回结果
  ...
}

【END】

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Hadoop YARN：ApplicationMaster与ResourceManager交互源码解析

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