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https://issues.apache.org/jira/browse/HIVE-5317?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14142013#comment-14142013
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Alan Gates commented on HIVE-5317:
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The discussion of when to branch for this has been going on on 
dev@hive.apache.org for a bit now, see 
http://mail-archives.apache.org/mod_mbox/hive-dev/201408.mbox/%3CCAKjA-pyhnHhxjaCYhWibX3o-RfQ7g2Sk9fyLYBN%3DFx6UofJ33A%40mail.gmail.com%3E

The summary is, any day now.  Once we branch it's usually ~4 weeks for 
stabilization and release mechanics before the release.

> Implement insert, update, and delete in Hive with full ACID support
> -------------------------------------------------------------------
>
>                 Key: HIVE-5317
>                 URL: https://issues.apache.org/jira/browse/HIVE-5317
>             Project: Hive
>          Issue Type: New Feature
>            Reporter: Owen O'Malley
>            Assignee: Owen O'Malley
>         Attachments: InsertUpdatesinHive.pdf
>
>
> Many customers want to be able to insert, update and delete rows from Hive 
> tables with full ACID support. The use cases are varied, but the form of the 
> queries that should be supported are:
> * INSERT INTO tbl SELECT …
> * INSERT INTO tbl VALUES ...
> * UPDATE tbl SET … WHERE …
> * DELETE FROM tbl WHERE …
> * MERGE INTO tbl USING src ON … WHEN MATCHED THEN ... WHEN NOT MATCHED THEN 
> ...
> * SET TRANSACTION LEVEL …
> * BEGIN/END TRANSACTION
> Use Cases
> * Once an hour, a set of inserts and updates (up to 500k rows) for various 
> dimension tables (eg. customer, inventory, stores) needs to be processed. The 
> dimension tables have primary keys and are typically bucketed and sorted on 
> those keys.
> * Once a day a small set (up to 100k rows) of records need to be deleted for 
> regulatory compliance.
> * Once an hour a log of transactions is exported from a RDBS and the fact 
> tables need to be updated (up to 1m rows)  to reflect the new data. The 
> transactions are a combination of inserts, updates, and deletes. The table is 
> partitioned and bucketed.



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