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https://issues.apache.org/jira/browse/HIVE-6980?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16460712#comment-16460712
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Peter Vary commented on HIVE-6980:
----------------------------------

[~akolb]:
{quote}Do you know which part consumes so much time before the fix?
{quote}
See attached file: drop_table_before.png

Also added drop_table_after.png to see how the scales changed.

The next step is waiting in queue - changing getPartitions to 
getPartitionLocations -, to speed up dropPartitionsAndGetLocations further. The 
patch is ready, but heavily dependent on this one.

> Drop table by using direct sql
> ------------------------------
>
>                 Key: HIVE-6980
>                 URL: https://issues.apache.org/jira/browse/HIVE-6980
>             Project: Hive
>          Issue Type: Improvement
>          Components: Metastore
>    Affects Versions: 0.12.0
>            Reporter: Selina Zhang
>            Assignee: Peter Vary
>            Priority: Major
>         Attachments: HIVE-6980.2.patch, HIVE-6980.patch, 
> drop_table_after.png, drop_table_before.png
>
>
> Dropping table which has lots of partitions is slow. Even after applying the 
> patch of HIVE-6265, the drop table still takes hours (100K+ partitions). 
> The fixes come with two parts:
> 1. use directSQL to query the partitions protect mode;
> the current implementation needs to transfer the Partition object to client 
> and check the protect mode for each partition. I'd like to move this part of 
> logic to metastore. The check will be done by direct sql (if direct sql is 
> disabled, execute the same logic in the ObjectStore);
> 2. use directSQL to drop partitions for table;
> there maybe two solutions here:
> 1. add "DELETE CASCADE" in the schema. In this way we only need to delete 
> entries from partitions table use direct sql. May need to change 
> datanucleus.deletionPolicy = DataNucleus. 
> 2. clean up the dependent tables by issue DELETE statement. This also needs 
> to turn on datanucleus.query.sql.allowAll
> Both of above solutions should be able to fix the problem. The DELETE CASCADE 
> has to change schemas and prepare upgrade scripts. The second solutions added 
> maintenance cost if new tables added in the future releases.
> Please advice. 



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