Re: PostgreSQL 8.4 performance tuning questions
От | Stefan Kaltenbrunner |
---|---|
Тема | Re: PostgreSQL 8.4 performance tuning questions |
Дата | |
Msg-id | 4A71E2FB.3070500@kaltenbrunner.cc обсуждение исходный текст |
Ответ на | Re: PostgreSQL 8.4 performance tuning questions (Tom Lane <tgl@sss.pgh.pa.us>) |
Ответы |
Re: PostgreSQL 8.4 performance tuning questions
|
Список | pgsql-performance |
Tom Lane wrote: > "Kevin Grittner" <Kevin.Grittner@wicourts.gov> writes: >> Since the dump to custom format ran longer than the full pg_dump >> piped directly to psql would have taken, the overall time to use this >> technique is clearly longer for our databases on our hardware. > > Hmmm ... AFAIR there isn't a good reason for dump to custom format to > take longer than plain text dump, except for applying compression. > Maybe -Z0 would be worth testing? Or is the problem that you have to > write the data to a disk file rather than just piping it? I always dump with -Z0(and compress afterwards or even in a pipe to get two cores busy) because otherwise custom dump times are simply ridiculous. However Kevin is on something here - on the typical 4-8 core box I tested I managed to an around cores/2 speedup for the restore which means that for a pure upgrade or testing similiar to what kevin is doing custom dumps + parallel restore might result in no win or even a loss. On on of our datasets I did some benchmarking a while ago (for those who attended bruce pg_migrator talk @pgcon these are same numbers): * 150GB Database (on-disk - ~100GB as a plain text dump) time to dump(-C0): 120min time to restore(single threaded): 180min time to restore(-j 16): 59min however the problem is that this does not actually mean that parallel restore shaves you ~120min in dump/restore time because you get the following real runtimes: plain text dump + single threaded restore in a pipe: 188min custom dump to file + parallel restore: 179min this is without compression, with the default custom dump + parallel restore is way slower than the simple approach on reasonable hardware. Stefan
В списке pgsql-performance по дате отправления: