Re: SSI patch version 8
Kevin Grittner <kevin.grittner@wicourts.gov>
From: "Kevin Grittner" <Kevin.Grittner@wicourts.gov>
To: "Heikki Linnakangas" <heikki.linnakangas@enterprisedb.com>
Cc: "Dan Ports" <drkp@csail.mit.edu>, "john.okite@gmail.org" <john.okite@gmail.org>, "pgsql-hackers@postgresql.org" <pgsql-hackers@postgresql.org>, <anssi.kaariainen@thl.fi>
Date: 2011-01-13T14:51:48Z
Lists: pgsql-hackers
Heikki Linnakangas <heikki.linnakangas@enterprisedb.com> wrote: > Pardon my ignorance, but where exactly is the extra overhead > coming from? Searching for a predicate lock? Right. As each tuple is read we need to ensure that there is a predicate lock to cover it. Since finer-grained locks can be combined into coarser-grained locks we need to start with the fine grained and move toward checking the coarser grains, to avoid missing a lock during promotion. So for each tuple we calculate a hash, find a partition, lock it, and lookup the tuple as a lock target. When that's not found we do the same thing for the page. When that's not found we do the same thing for the relation. But we acquired a relation lock up front, when we determined that this would be a heap scan, so we could short-circuit this whole thing if within the heapgettup_pagemode function we could determine that this was a scan of the whole relation. The profiling also showed that it was spending an obscene amount of time calculating hash values (over 10% of total run time!). I'm inclined to think that a less sophisticated algorithm (like just adding oid, page, and tuple offset numbers) would generate very *real* savings with the down side being a very hypothetical *possible* cost to longer chains in the HTAB. But that's a separate issue, best settled on the basis of benchmarks rather than theoretical discussions. -Kevin