| From: | Josh Berkus <josh(at)agliodbs(dot)com> |
|---|---|
| To: | Robert Haas <robertmhaas(at)gmail(dot)com> |
| Cc: | pgsql-performance(at)postgresql(dot)org |
| Subject: | Re: reducing random_page_cost from 4 to 2 to force index scan |
| Date: | 2011-05-15 18:08:53 |
| Message-ID: | 4DD016B5.2080202@agliodbs.com |
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| Lists: | pgsql-performance |
Robert,
> All true. I suspect that in practice the different between random and
> sequential memory page costs is small enough to be ignorable, although
> of course I might be wrong.
This hasn't been my experience, although I have not carefully measured
it. In fact, there's good reason to suppose that, if you were selecting
50% of more of a table, sequential access would still be faster even for
an entirely in-memory table.
As a parallel to our development, Redis used to store all data as linked
lists, making every object lookup effectively a random lookup. They
found that even with a database which is pinned in memory, creating a
data page structure (they call it "ziplists") and supporting sequential
scans was up to 10X faster for large lists.
So I would assume that there is still a coefficient difference between
seeks and scans in memory until proven otherwise.
--
Josh Berkus
PostgreSQL Experts Inc.
http://pgexperts.com
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