[
https://issues.apache.org/jira/browse/HIVE-21354?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17082362#comment-17082362
]
David Mollitor commented on HIVE-21354:
---------------------------------------
[~pvary] I'm not sure on the exact relationship between table and partition. I
believe they overlap in some meta data, but maybe not all? There might be an
issue of:
* Client 1: Read partition 'a'
* Client 2: Change the table-level meta data
* Client 1: Read partition 'b'
.. but I don't know
Doing a 'DROP' makes sense to lock just the partition... whatever the meta data
change might be is irrelevant because... well,... it's going to be dropped
anyway.
> Lock The Entire Table If Majority Of Partitions Are Locked
> ----------------------------------------------------------
>
> Key: HIVE-21354
> URL: https://issues.apache.org/jira/browse/HIVE-21354
> Project: Hive
> Issue Type: Improvement
> Components: HiveServer2
> Affects Versions: 4.0.0, 3.2.0
> Reporter: David Mollitor
> Assignee: David Mollitor
> Priority: Major
>
> One of the bottlenecks of any Hive query is the ZooKeeper locking mechanism.
> When a Hive query interacts with a table which has a lot of partitions, this
> may put a lot of stress on the ZK system.
> Please add a heuristic that works like this:
> # Count the number of partitions that a query is required to lock
> # Obtain the total number of partitions in the table
> # If the number of partitions accessed by the query is greater than or equal
> to half the total number of partitions, simply create one ZNode lock at the
> table level.
> This would improve performance of many queries, but in particular, a {{select
> count(1) from table}} ... or ... {{select * from table limit 5}} where the
> table has many partitions.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)