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From "pavan kumar kolamuri (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FALCON-1686) Support for reprocessing
Date Tue, 22 Dec 2015 06:12:46 GMT

    [ https://issues.apache.org/jira/browse/FALCON-1686?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15067603#comment-15067603

pavan kumar kolamuri commented on FALCON-1686:

Thanks [~ajayyadava]  for clarifying on this, but their use case is only code change not adding
new data . In that case rerun should work if user updates the jar. Yes with effective time
even new data will be handled. 

> Support for reprocessing
> ------------------------
>                 Key: FALCON-1686
>                 URL: https://issues.apache.org/jira/browse/FALCON-1686
>             Project: Falcon
>          Issue Type: Improvement
>    Affects Versions: 0.7
>            Reporter: Mass Dosage
> We have a number of ETL jobs which we schedule to run on a regular basis with Falcon.
This works fine. However, we often have cases where we need to run the exact same jobs over
past date ranges in order to reprocess data after a code change. There doesn't seem to be
any easy way to do this in Falcon at the moment. Ideally we'd have a controlled way of saying
"run this process for dates between X and Y". There should also be a way to control whether
downstream processes are triggered by the data being reprocessed or not. In some cases you
may want downstream jobs to also run on the new data but in other cases you might not. 
> With Oozie, if one wants to reprocess data from any time in history, one can update the
start & end-dates (using the job.properties file) and submit a new coordinator to run
alongside the existing one. As the coordinator-ids are unique they do not clash. In Falcon,
processes are defined by their readable name so one would need to update that in the process
file directly. 
> We are currently working around this issue by making a copy of the original Falcon process,
giving it a different name and changing the dates. This isn't ideal and leads to a lot of
XML duplication. 

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