Re: Hardware/OS recommendations for large databases
От
Ron
Тема
Re: Hardware/OS recommendations for large databases
Дата
Msg-id
6.2.5.6.0.20051118151319.01d16288@earthlink.net
Ответ на
Re: Hardware/OS recommendations for large databases ( (Luke Lonergan)
Список
Дерево обсуждения
Re: Hardware/OS recommendations for large databases ( "Luke Lonergan" <LLonergan@greenplum.com>
Re: Hardware/OS recommendations for large databases ( Alex Turner <armtuk@gmail.com>
Re: Hardware/OS recommendations for large databases ( "Joshua D. Drake" <jd@commandprompt.com>
Re: Hardware/OS recommendations for large databases ( Steve Wampler <swampler@noao.edu>
Re: Hardware/OS recommendations for large databases ( David Boreham <david_list@boreham.org>
Re: Hardware/OS recommendations for large databases ( Steve Wampler <swampler@noao.edu>
OT Re: Hardware/OS recommendations for large databases ( "Douglas J. Trainor" <trainor@transborder.net>
Re: Hardware/OS recommendations for large databases ( David Boreham <david_list@boreham.org>
Re: Hardware/OS recommendations for large databases ( Scott Marlowe <smarlowe@g2switchworks.com>
Re: Hardware/OS recommendations for large databases ( "Steinar H. Gunderson" <sgunderson@bigfoot.com>
Re: Hardware/OS recommendations for large databases ( Scott Marlowe <smarlowe@g2switchworks.com>
Re: Hardware/OS recommendations for large databases ( mudfoot@rawbw.com
Re: Hardware/OS recommendations for large databases ( Matthew Nuzum <mattnuzum@gmail.com>
Re: Hardware/OS recommendations for large databases ( "Joshua D. Drake" <jd@commandprompt.com>
Re: Hardware/OS recommendations for large databases ( William Yu <wyu@talisys.com>
Re: Hardware/OS recommendations for large databases ( Ron Mayer <rm_pg@cheapcomplexdevices.com>
Re: Hardware/OS recommendations for large databases ( Matthew Nuzum <mattnuzum@gmail.com>
Re: Hardware/OS recommendations for large databases ( William Yu <wyu@talisys.com>
Re: Hardware/OS recommendations for large databases ( Scott Marlowe <smarlowe@g2switchworks.com>
Re: Hardware/OS recommendations for large databases ( "Luke Lonergan" <llonergan@greenplum.com>
Re: Hardware/OS recommendations for large databases ( Scott Marlowe <smarlowe@g2switchworks.com>
Re: Hardware/OS recommendations for large databases ( "Luke Lonergan" <llonergan@greenplum.com>
Re: Hardware/OS recommendations for large databases ( Alex Turner <armtuk@gmail.com>
Re: Hardware/OS recommendations for large databases ( William Yu <wyu@talisys.com>
Re: Hardware/OS recommendations for large databases ( Joshua Marsh <icub3d@gmail.com>
Re: Hardware/OS recommendations for large databases ( Greg Stark <gsstark@mit.edu>
Re: Hardware/OS recommendations for large databases ( Greg Stark <gsstark@mit.edu>
Re: Hardware/OS recommendations for large databases ( "Luke Lonergan" <llonergan@greenplum.com>
Re: Hardware/OS recommendations for large databases ( Dave Cramer <pg@fastcrypt.com>
Re: Hardware/OS recommendations for large databases ( Richard Huxton <dev@archonet.com>
Re: Hardware/OS recommendations for large databases ( Alan Stange <stange@rentec.com>
Re: Hardware/OS recommendations for large databases ( "Luke Lonergan" <llonergan@greenplum.com>
Re: Hardware/OS recommendations for large databases ( "Luke Lonergan" <llonergan@greenplum.com>
Re: Hardware/OS recommendations for large databases ( "Luke Lonergan" <llonergan@greenplum.com>
Re: Hardware/OS recommendations for large databases ( Vivek Khera <vivek@khera.org>
Re: Hardware/OS recommendations for large databases ( "Luke Lonergan" <llonergan@greenplum.com>
Re: Hardware/OS recommendations for large databases ( Alex Turner <armtuk@gmail.com>
Re: Hardware/OS recommendations for large databases ( Mark Kirkwood <markir@paradise.net.nz>
Re: Hardware/OS recommendations for large databases ( "Luke Lonergan" <llonergan@greenplum.com>
Re: Hardware/OS recommendations for large databases ( Mark Kirkwood <markir@paradise.net.nz>
Re: Hardware/OS recommendations for large databases ( Mark Kirkwood <markir@paradise.net.nz>
Re: Hardware/OS recommendations for large databases ( "Luke Lonergan" <llonergan@greenplum.com>
Re: Hardware/OS recommendations for large databases ( Mark Kirkwood <markir@paradise.net.nz>
Re: Hardware/OS recommendations for large databases ( "Luke Lonergan" <llonergan@greenplum.com>
Re: Hardware/OS recommendations for large databases Ron <rjpeace@earthlink.net>
Re: Hardware/OS recommendations for large databases ( Dave Cramer <pg@fastcrypt.com>
Re: Hardware/OS recommendations for large databases ( Bill McGonigle <bill@bfccomputing.com>
Re: Hardware/OS recommendations for large databases ( "Luke Lonergan" <llonergan@greenplum.com>
Re: Hardware/OS recommendations for large databases Ron <rjpeace@earthlink.net>
Re: Hardware/OS recommendations for large databases ( Vivek Khera <vivek@khera.org>
Re: Hardware/OS recommendations for large databases ( "Luke Lonergan" <llonergan@greenplum.com>
Re: Hardware/OS recommendations for large databases ( William Yu <wyu@talisys.com>
Re: Hardware/OS recommendations for large databases ( "Joshua D. Drake" <jd@commandprompt.com>
Re: Hardware/OS recommendations for large databases ( Alex Turner <armtuk@gmail.com>
Re: Hardware/OS recommendations for large databases ( "Joshua D. Drake" <jd@commandprompt.com>
Re: Hardware/OS recommendations for large databases ( Dave Cramer <pg@fastcrypt.com>
Re: Hardware/OS recommendations for large databases ( Alex Turner <armtuk@gmail.com>
Re: Hardware/OS recommendations for large databases ( William Yu <wyu@talisys.com>
Re: Hardware/OS recommendations for large databases ( Alex Stapleton <alexs@advfn.com>
Re: Hardware/OS recommendations for large databases ( William Yu <wyu@talisys.com>
Breaking the ~120MBps pg IO ceiling by any means is an important result. Particularly when you get a ~2x improvement. I'm curious how far we can get using simple approaches like this. At 10:13 AM 11/18/2005, Luke Lonergan wrote: >Dave, > >On 11/18/05 5:00 AM, "Dave Cramer" wrote: > > > > Now there's an interesting line drawn in the sand. I presume you have > > numbers to back this up ? > > > > This should draw some interesting posts. > >Part 2: The answer > >System A: >This system is running RedHat 3 Update 4, with a Fedora 2.6.10 Linux kernel. > >On a single table with 15 columns (the Bizgres >IVP) at a size double memory (2.12GB), Postgres >8.0.3 with Bizgres enhancements takes 32 seconds >to scan the table: thats 66 MB/s. Not the >efficiency Id hope from the onboard SATA >controller that Id like, I would have expected >to get 85% of the 100MB/s raw read performance. Have you tried the large read ahead trick with this system? It would be interesting to see how much it would help. It might even be worth it to do the experiment at all of [default, 2x default, 4x default, 8x default, etc] read ahead until either a) you run out of resources to support the desired read ahead, or b) performance levels off. I can imagine the results being very enlightening. >System B: >This system is running an XFS filesystem, and >has been tuned to use very large (16MB) >readahead. Its running the Centos 4.1 distro, >which uses a Linux 2.6.9 kernel. > >Same test as above, but with 17GB of data takes >69.7 seconds to scan (!) Thats 244.2MB/s, >which is obviously double my earlier point of >110-120MB/s. This system is running with a 16MB >Linux readahead setting, lets try it with the >default (I think) setting of 256KB AHA! Now we get 171.4 seconds or 99.3MB/s. The above experiment would seem useful here as well. >Summary: > > OK you can get more I/O >bandwidth out of the current I/O path for >sequential scan if you tune the filesystem for >large readahead. This is a cheap alternative to >overhauling the executor to use asynch I/O. > >Still, there is a CPU limit here this is not >I/O bound, it is CPU limited as evidenced by the >sensitivity to readahead settings. If the >filesystem could do 1GB/s, you wouldnt go any faster than 244MB/s. > >- Luke I respect your honesty in reporting results that were different then your expectations or previously taken stance. Alan Stange's comment re: the use of direct IO along with your comments re: async IO and mem copies plus the results of these experiments could very well point us directly at how to most easily solve pg's CPU boundness during IO. [HACKERS] are you watching this? Ron
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