Re: 10K vs 15k rpm for analytics
От | david@lang.hm |
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Тема | Re: 10K vs 15k rpm for analytics |
Дата | |
Msg-id | alpine.DEB.2.00.1003090647120.15263@asgard.lang.hm обсуждение исходный текст |
Ответ на | Re: 10K vs 15k rpm for analytics ("Pierre C" <lists@peufeu.com>) |
Список | pgsql-performance |
On Tue, 9 Mar 2010, Pierre C wrote: > On Tue, 09 Mar 2010 08:00:50 +0100, Greg Smith <greg@2ndquadrant.com> wrote: > >> Scott Carey wrote: >>> For high sequential throughput, nothing is as optimized as XFS on Linux >>> yet. It has weaknesses elsewhere however. >>> > > When files are extended one page at a time (as postgres does) fragmentation > can be pretty high on some filesystems (ext3, but NTFS is the absolute worst) > if several files (indexes + table) grow simultaneously. XFS has delayed > allocation which really helps. > >> I'm curious what you feel those weaknesses are. > > Handling lots of small files, especially deleting them, is really slow on > XFS. > Databases don't care about that. accessing lots of small files works really well on XFS compared to ext* (I use XFS with a cyrus mail server which keeps each message as a seperate file and XFS vastly outperforms ext2/3 there). deleting is slow as you say David Lang > There is also the dark side of delayed allocation : if your application is > broken, it will manifest itself very painfully. Since XFS keeps a lot of > unwritten stuff in the buffers, an app that doesn't fsync correctly can lose > lots of data if you don't have a UPS. > > Fortunately, postgres handles fsync like it should be. > > A word of advice though : a few years ago, we lost a few terabytes on XFS > (after that, restoring from backup was quite slow !) because a faulty SCSI > cable crashed the server, then crashed it again during xfsrepair. So if you > do xfsrepair on a suspicious system, please image the disks first.
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