Capture event from job cancelled in SM37 by workflow, is not posible.

Hi, i'm learning workflows and i want capture the event ABORT o CANCELLED form job in sm37 and send email to agent recipient but i dont know as to resolve this problem.
Please , i need help.
Thanks.

Hi......
Look Job : BI_PROCESS_LOADING.........is actually the background job.............in a process chain.......when the trigger come to a load process...........first this job will run........and after completion of this job...........the actual IP will start...............we don't schedule this job.......but u r saying ur loads are fine.........if this job fails......then the IP will not start......so how ur IP s are running........As already suggested............u deschedule the chain........then again schedule it back.......
Now to check job that exactly fails at 12:00 a.m.....................
Go to SM37 ............give this job name...............date......and in the time field give the time.........
Regards,
Debjnai......

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    Hi all,
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    Is this is the reasong for the job failures?
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    Hi......
    Look Job : BI_PROCESS_LOADING.........is actually the background job.............in a process chain.......when the trigger come to a load process...........first this job will run........and after completion of this job...........the actual IP will start...............we don't schedule this job.......but u r saying ur loads are fine.........if this job fails......then the IP will not start......so how ur IP s are running........As already suggested............u deschedule the chain........then again schedule it back.......
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    Regards,
    Debjnai......

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    3. This BW Delta queue is read when a delta load is executed.
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    • V2 Update errors can lead to V3 updates never to be processed
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    • Each document posting with delta extraction leads to exactly one LUW in the respective BW delta queues
    Transaction postings lead to:
    1. Records in transaction tables and in update tables
    2. A periodically scheduled job transfers these postings into the BW delta queue
    3. This BW Delta queue is read when a delta load is executed.
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    • Less monitoring overhead of update data or extraction queue
    Cons:
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    • Setup and delta initialization have to be executed successfully before document postings are resumed
    • V1 is more heavily burdened
    Update methods: queued delta
    • Extraction data is collected for the affected application in an extraction queue
    • Collective run as usual for transferring data into the BW delta queue
    Transaction postings lead to:
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    • Suitable for environments with high number of document changes
    • Writing to extraction queue is within V1-update: this ensures correct serialization
    • Downtime is reduced to running the setup
    Cons:
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    • Administrative overhead of extraction queue
    Update methods: Un-serialized V3
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    • V3 collective run transfers the data to BW Delta queue
    • In contrast to serialized V3, the data in the updating collective run is without regard to sequence from the update tables
    Transaction postings lead to:
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    Issues:
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    • V2 update has to be successful
    Direct Delta: With this update mode, the extraction data is transferred with each document posting directly into the BW delta queue. In doing so, each document posting with delta extraction is posted for exactly one LUW in the respective BW delta queues.
    Queued Delta: With this update mode, the extraction data is collected for the affected application instead of being collected in an extraction queue, and can be transferred as usual with the V3 update by means of an updating collective run into the BW delta queue. In doing so, up to 10000 delta extractions of documents for an LUW are compressed for each Data Source into the BW delta queue, depending on the application.
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    V1 - Synchronous update
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    V3 - Batch asynchronous update
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    Taking an example -
    If you create/change a purchase order (me21n/me22n), when you press 'SAVE' and see a success message (PO.... changed...), the update to underlying tables EKKO/EKPO has happened (before you saw the message). This update was executed in the V1 work process.
    There are some statistics collecting tables in the system which can capture data for reporting. For example, LIS table S012 stores purchasing data (it is the same data as EKKO/EKPO stored redundantly, but in a different structure to optimize reporting). Now, these tables are updated with the txn you just posted, in a V2 process. Depending on system load, this may happen a few seconds later (after you saw the success message). You can see V1/V2/V3 queues in SM12 or SM13.
    V3 is specifically for BW extraction. The update LUW for these is sent to V3 but is not executed immediately. You have to schedule a job (e.g. in LBWE definitions) to process these. This is again to optimize performance.
    V2 and V3 are separated from V1 as these are not as real time critical (updating statistical data). If all these updates were put together in one LUW, system performance (concurrency, locking etc) would be impacted.
    Serialized V3 update is called after V2 has happened (this is how the code running these updates is written) so if you have both V2 and V3 updates from a txn, if V2 fails or is waiting, V3 will not happen yet.
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