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Posted to dev@pig.apache.org by "Alan Gates (JIRA)" <ji...@apache.org> on 2011/03/11 17:31:59 UTC
[jira] Updated: (PIG-1891) Enable StoreFunc to make intelligent
decision based on job success or failure
[ https://issues.apache.org/jira/browse/PIG-1891?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Alan Gates updated PIG-1891:
----------------------------
Priority: Minor (was: Major)
> Enable StoreFunc to make intelligent decision based on job success or failure
> -----------------------------------------------------------------------------
>
> Key: PIG-1891
> URL: https://issues.apache.org/jira/browse/PIG-1891
> Project: Pig
> Issue Type: New Feature
> Reporter: Alex Rovner
> Priority: Minor
>
> We are in the process of using PIG for various data processing and component integration. Here is where we feel pig storage funcs lack:
> They are not aware if the over all job has succeeded. This creates a problem for storage funcs which needs to "upload" results into another system:
> DB, FTP, another file system etc.
> I looked at the DBStorage in the piggybank (http://svn.apache.org/viewvc/pig/trunk/contrib/piggybank/java/src/main/java/org/apache/pig/piggybank/storage/DBStorage.java?view=markup) and what I see is essentially a mechanism which for each task does the following:
> 1. Creates a recordwriter (in this case open connection to db)
> 2. Open transaction.
> 3. Writes records into a batch
> 4. Executes commit or rollback depending if the task was successful.
> While this aproach works great on a task level, it does not work at all on a job level.
> If certain tasks will succeed but over job will fail, partial records are going to get uploaded into the DB.
> Any ideas on the workaround?
> Our current workaround is fairly ugly: We created a java wrapper that launches pig jobs and then uploads to DB's once pig's job is successful. While the approach works, it's not really integrated into pig.
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