Re: DELETE vs TRUNCATE explanation - Mailing list pgsql-performance
From | Craig Ringer |
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Subject | Re: DELETE vs TRUNCATE explanation |
Date | |
Msg-id | 4FFE2B62.2040502@ringerc.id.au Whole thread Raw |
In response to | Re: DELETE vs TRUNCATE explanation (Daniel Farina <daniel@heroku.com>) |
Responses |
Re: DELETE vs TRUNCATE explanation
|
List | pgsql-performance |
On 07/12/2012 06:51 AM, Daniel Farina wrote: > 15x slower. This is a Macbook Air with full disk encryption and SSD > disk with fsync off, e.g. a very typical developer configuration. Don't use full disk encryption for throwaway test data if you care about how long those tests take. It's a lot like tuning the engine in your car while ignoring the fact that the handbrake is jammed on and you're dragging a parachute. Use a ramdisk or un-encrypted partition, something that doesn't take three weeks to fsync(). That said, this performance gap makes me wonder if TRUNCATE is forcing metadata synchronisation even with fsync=off, causing the incredibly glacially awesomely slow disk access of your average FDE system to kick in, possibly even once per table or even once per file (index, table, toast, etc). If so, it may be worth: - Allowing TRUNCATE to skip synchronization when fsync=off. Pg is already allowed to eat all your data if it feels like it in this configuration, so there's no point flushing filesystem metadata to make sure files are really swapped. - When fsync=on, trying to flush all changes to all files out at once rather than once per file as it could be doing (haven't checked) right now. How to do this without also flushing all other pending I/O on the whole system (with a global "sync()") would be somewhat OS/filesystem dependent, unfortunately. You could help progress this issue constructively by doing some profiling on your system, tracing Pg's system calls, and determining what exactly it's doing with DELETE vs TRUNCATE and where the time goes. On Linux you'd use OProfile for this and on Solaris you'd use DTrace. Dunno what facilities Mac OS X has but there must be something similar. Once you've determined why it's slow, you have a useful starting point for making it faster, first for test systems with fsync=off then, once that's tracked down, maybe for robust systems with fsync=on. > I've seen way more than one complaint, and I'm quite sure there are > thousands of man hours (or more) spent on people who don't even know > to complain about such atrocious performance (or maybe it's so bad > that most people run a web search and find out, probably being left > really annoyed from having to yak shave as a result). I suspect you're right - as DB based unit testing becomes more commonplace this is turning up a lot more. As DB unit tests were first really popular in the ruby/rails crowd they've probably seen the most pain, but as someone who doesn't move in those circles I wouldn't have known. They certainly don't seem to have been making noise about it here, and I've only recently seen some SO questions about it. > Perhaps a doc fix is all we need (TRUNCATE is constant-time on large > tables, but can be very slow compared to DELETE on small tables), but > I completely and enthusiastically reject any notion from people > calling this "contrived" or an "edge case," because people writing > software against PostgreSQL that have unit tests have this use case > constantly, often dozens or even hundreds of times a day. I have to agree with this - it may have been an edge case in the past, but it's becoming mainstream and is worth being aware of. That said, the group of people who care about this most are not well represented as active contributors to PostgreSQL. I'd love it if you could help start to change that by stepping in and taking a little time to profile exactly what's going on with your system so we can learn what, exactly, is slow. -- Craig Ringer
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