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From "Nikhil S. Ketkar (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-3315) Master-Worker Application on YARN
Date Fri, 25 May 2012 08:09:24 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-3315?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13283209#comment-13283209
] 

Nikhil S. Ketkar commented on MAPREDUCE-3315:
---------------------------------------------

Sharad, you mean the following, right?

{code}
public interface MWProtocol {
public static final long versionID = 1L;
HeartbeatResponse heartBeat(Writable HeartbeatRequest);
}

public class HeartbeatResponse implements Writable {
}

public class HeartbeatRequest implements Writable {
}

// User extends MasterRunner and WorkerRunner

public abstract class WorkerRunner {
Writable doWork(Writable workUnit); // Abstract, implemented by user
}

public abstract class MasterRunner {

public void addWorkers() {
   // Implementation
}

public void killWorkers() {
   // Implementation
}

public void assignWork(Writable workUnit) {
  // Implementation
  // uses heartBeat internally but HeartbeatResponse, HeartbeatRequest not exposed
}

public Writable waitForResult() {
   // Implementation
  // uses heartBeat internally but HeartbeatResponse, HeartbeatRequest not exposed
}

void manageWorkers(); // Abstract, implemented by user, can use addWorker(), killWorker(),
assignWork() and waitForResult()
}

{code}
                
> Master-Worker Application on YARN
> ---------------------------------
>
>                 Key: MAPREDUCE-3315
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-3315
>             Project: Hadoop Map/Reduce
>          Issue Type: New Feature
>            Reporter: Sharad Agarwal
>            Assignee: Sharad Agarwal
>             Fix For: 0.24.0
>
>         Attachments: MAPREDUCE-3315-1.patch, MAPREDUCE-3315-2.patch, MAPREDUCE-3315-3.patch,
MAPREDUCE-3315.patch
>
>
> Currently master worker scenarios are forced fit into Map-Reduce. Now with YARN, these
can be first class and would benefit real/near realtime workloads and be more effective in
using the cluster resources.

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