Re: Read performance on Large Table - Mailing list pgsql-admin

From Scott Ribe
Subject Re: Read performance on Large Table
Date
Msg-id 580E17C5-363E-4D24-B381-80A1F4C83C81@elevated-dev.com
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In response to Re: Read performance on Large Table  (Scott Marlowe <scott.marlowe@gmail.com>)
Responses Re: Read performance on Large Table
List pgsql-admin
On May 21, 2015, at 9:05 AM, Scott Marlowe <scott.marlowe@gmail.com> wrote:
>
> I've done a lot of partitioning of big data sets in postgresql and if
> there's some common field, like data, that makes sense to partition
> on, it can be a huge win.

Indeed. I recently did it on exactly this kind of thing, a log of activity. And the common queries weren’t slow at all.

But if I wanted to upgrade via dump/restore with minimal downtime, rather than set up Slony or try my luck with
pg_upgrade,I could dump the historical partitions, drop those tables, then dump/restore, then restore the historical
partitionsat my convenience. (In this particular db, history is unusually huge compared to the live data.) 

--
Scott Ribe
scott_ribe@elevated-dev.com
http://www.elevated-dev.com/
https://www.linkedin.com/in/scottribe/
(303) 722-0567 voice







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