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If a Work instance is serializable and the WorkManager implementation supports Remoteable WorkManager then the Work can be sent to a remote member of the application cluster for execution. This allows serializable Works to be executed on any member of the J2EE cluster containing the application. Subsequent scheduleWork calls will result in the Works being load balanced over the available members in the cluster using a vendor specific algorithm.
Clearly, if this is the case then the Work object supplied to scheduleWork cannot be used to interrogate the result when the
Work completes as it was a copy that was executed on the remote JVM. The Work instance is copied and marshalled to the remote JVM
where it is executed and then a copy
of the Work instance is send back to the JVM that called scheduleWork. This returned copy is then available using the
getResult() method.
If the application wants to send multiple Work objects to the same remote JVM then it
should schedule Work on a resource-ref obtained WorkManager and then
schedule subsequent Work objectgs using the WorkManager obtained from the getPinnedWorkManager() method. This is called a pinned WorkManager.
This allows affinity to the same remote JVM to be maintained. If the remote JVM fails then subsequent calls to scheduleWork on the pinned
WorkManager will fail with a WorkRejectedException once the failure has been detected.
If a remote JVM containing pending Works fails then these Works are marked as complete with a status of rejected.
| Method Summary | |
|---|---|
WorkManager |
getPinnedWorkManager()
This returns a pinned WorkManager which represents the JVM that was used to execute this Work. |
Work |
getResult()
This returns the Work once the Remote Work is completed. |
void |
release()
Calls the remote Work object's Work.release() method. |
| Methods inherited from interface commonj.work.WorkItem |
|---|
getStatus |
| Method Detail |
public Work getResult()
throws WorkException
WorkExceptionpublic void release()
Work.release() method.
It instructs the Work associated with this RemoteWorkItem to 'stop' voluntarily. If
the work has already stopped then this has no effect. The WorkItem.getStatus() can be
used to determine whether it has stopped or not but the Work can always stop
just after getStatus returns 'still working'.
The best way to wait for such Works to release is using the
WorkManager.waitForAll(java.util.Collection, long) API.
public WorkManager getPinnedWorkManager()
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