Re: Memory usage during sorting
Robert Haas <robertmhaas@gmail.com>
From: Robert Haas <robertmhaas@gmail.com>
To: Greg Stark <stark@mit.edu>
Cc: Tom Lane <tgl@sss.pgh.pa.us>, Jeff Janes <jeff.janes@gmail.com>, Hitoshi Harada <umi.tanuki@gmail.com>, pgsql-hackers <pgsql-hackers@postgresql.org>
Date: 2012-03-20T16:17:31Z
Lists: pgsql-hackers
Commits
Same data as JSON:
GET /api/v1/messages/:b64id/commits
the thread's linked commits as JSON, with link sources.
API reference →
-
Improve performance of our private version of qsort. Per recent testing,
- a3f0b3d68f9a 8.2.0 cited
-
Further performance improvements in sorting: reduce number of comparisons
- cf627ab41ab9 7.1.1 cited
On Tue, Mar 20, 2012 at 7:44 AM, Greg Stark <stark@mit.edu> wrote: > On Tue, Mar 20, 2012 at 1:57 AM, Tom Lane <tgl@sss.pgh.pa.us> wrote: >> That was a long time ago, of course, but I have some vague recollection >> that keeping next-run tuples in the current heap achieves a net savings >> in the total number of comparisons needed to heapify both runs. > > Offhand I wonder if this is all because we don't have the O(n) heapify > implemented. I'm pretty sure that's not the problem. Even though our heapify is not as efficient as it could be, it's plenty fast enough. I thought about writing a patch to implement the better algorithm, but it seems like a distraction at this point because the heapify step is such a small contributor to overall sort time. What's taking all the time is the repeated siftup operations as we pop things out of the heap. -- Robert Haas EnterpriseDB: http://www.enterprisedb.com The Enterprise PostgreSQL Company