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From "Alan Gates (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-5317) Implement insert, update, and delete in Hive with full ACID support
Date Mon, 08 Dec 2014 19:12:14 GMT

    [ https://issues.apache.org/jira/browse/HIVE-5317?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14238284#comment-14238284
] 

Alan Gates commented on HIVE-5317:
----------------------------------

bq. is NAMED INSERTION supported in hive ? If No, then Can we know rational behind it ? and
Any future plan for it?
This is a larger issue than just ACID, as Hive doesn't support named insertion.  I hope to
add it soon for all insert, not just ACID inserts.  I don't have a planned release for that
yet.

> 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
>             Fix For: 0.14.0
>
>         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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