Re: Weird disk write load caused by PostgreSQL?
От | Alexander Staubo |
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Тема | Re: Weird disk write load caused by PostgreSQL? |
Дата | |
Msg-id | D84BA268-ED6C-450C-93EF-9C54D0C6F58C@purefiction.net обсуждение исходный текст |
Ответ на | Re: Weird disk write load caused by PostgreSQL? (Alexander Staubo <alex@purefiction.net>) |
Список | pgsql-general |
I'm surprised that I have to reply to myself, since in hindsight this should be bloody obvious: It's the pgsql_tmp directory. I just monitored the file creation in that directory, and found PostgreSQL to be creating huge temporary, extremely short-lived files ranging from 1MB to 20MB in size. I increased work_mem to 25MB -- should be perfectly safe on a box with 4GB of RAM, I hope - and the iostat traffic seems to have dropped to near zero. I'm a bit baffled as to why PostgreSQL would ever be sorting 20MB of data in the first place, even with ~12 connections running queries concurrently, but I suppose I will have to look more closely at our query patterns. Alexander. On Oct 2, 2006, at 19:25 , Alexander Staubo wrote: > On Oct 2, 2006, at 17:50 , Tom Lane wrote: > >> Alexander Staubo <alex@purefiction.net> writes: >>> I have a production PostgreSQL instance (8.1 on Linux 2.6.15) that >>> seems to be writing data to disk at rates that I think are >>> disproportional to the update load imposed on the database. I am >>> looking for ways to determine the cause of this I/O. >> >> Are you sure that iostat is to be trusted? > > No. :) But iostat reads directly from /dev/diskstats, which should > be reliable. Of course, it still doesn't say anything about which > process is doing the writing; for that I would need to install the > atop kernel patches or similar. > > ... >> The read numbers in >> particular look suspiciously uniform ... it would be a strange >> query load that would create a read demand changing less than 1% >> from hour to hour, unless perhaps that represented the disk's >> saturation point, which is not the case if you're not seeing >> obvious performance problems. > > They are not uniform at all -- they correlate perfectly with the > web traffic; it just so happens that the samples I quoted were from > peak hours. Take a look at the Munin graph. (The spikes correspond > to scheduled maintenance tasks like backups.) > > Alexander. > > > ---------------------------(end of > broadcast)--------------------------- > TIP 9: In versions below 8.0, the planner will ignore your desire to > choose an index scan if your joining column's datatypes do not > match
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