Re: Recovery performance of DROP DATABASE with many tablespaces - Mailing list pgsql-hackers
From | Fujii Masao |
---|---|
Subject | Re: Recovery performance of DROP DATABASE with many tablespaces |
Date | |
Msg-id | CAHGQGwHmr4sn4bFCBRqqA1+snRTRTS45HOrNs0GAUx0HiNybUw@mail.gmail.com Whole thread Raw |
In response to | RE: Recovery performance of DROP DATABASE with many tablespaces ("k.jamison@fujitsu.com" <k.jamison@fujitsu.com>) |
List | pgsql-hackers |
On Tue, Nov 19, 2019 at 3:39 PM k.jamison@fujitsu.com <k.jamison@fujitsu.com> wrote: > > On Wed, Nov 13, 2019 5:34PM (GMT+9), Fujii Masao wrote: > > On Wed, Nov 13, 2019 at 3:57 PM k.jamison@fujitsu.com <k.jamison@fujitsu.com> > > wrote: > > > > > > On Wed, Oct. 2, 2019 5:40 PM, Fujii Masao wrote: > > > > On Tue, Jul 10, 2018 at 3:04 PM Michael Paquier <michael@paquier.xyz> > > wrote: > > > > > > > > > > On Thu, Jul 05, 2018 at 01:42:20AM +0900, Fujii Masao wrote: > > > > > > TBH, I have no numbers measured by the test. > > > > > > One question about your test is; how did you measure the > > > > > > *recovery > > > > > > time* of DROP DATABASE? Since it's *recovery* performance, > > > > > > basically it's not easy to measure that. > > > > > > > > > > It would be simple to measure the time it takes to replay this > > > > > single DROP DATABASE record by putting two gettimeofday() calls or > > > > > such things and then take the time difference. There are many > > > > > methods that you could use here, and I suppose that with a shared > > > > > buffer setting of a couple of GBs of shared buffers you would see > > > > > a measurable difference with a dozen of tablespaces or so. You > > > > > could also take a base backup after creating all the tablespaces, > > > > > connect the standby and then drop the database on the primary to > > > > > see the actual time it takes. Your patch looks logically correct > > > > > to me because DropDatabaseBuffers is a > > > > > *bottleneck* with large shared_buffers, and it would be nice to > > > > > see numbers. > > > > > > > > Thanks for the comment! > > > > > > > > I measured how long it takes to replay DROP DATABASE with 1000 > > > > tablespaces, in master and patched version. shared_buffers was set to > > 16GB. > > > > > > > > [master] > > > > It took 8 seconds to replay DROP DATABASE with 1000 tablespaces, as follows. > > > > In this case, 16GB shared_buffers was fully scanned 1000 times. > > > > > > > > 2019-10-02 16:50:14 JST LOG: redo starts at 0/2000028 > > > > 2019-10-02 16:50:22 JST LOG: redo done at 0/300A298 > > > > > > > > [patched] > > > > It took less than 1 second to replay DROP DATABASE with 1000 > > > > tablespaces, as follows. In this case, 16GB shared_buffers was scanned > > only one time. > > > > > > > > 2019-10-02 16:47:03 JST LOG: redo starts at 0/2000028 > > > > 2019-10-02 16:47:03 JST LOG: redo done at 0/3001588 > > > > > > > > > > Hi Fujii-san, > > > > > > It's been a while, so I checked the patch once again. > > > It's fairly straightforward and I saw no problems nor bug in the code. > > > > Thanks for the review! > > > > > > [patched] > > > > It took less than 1 second to replay DROP DATABASE with 1000 > > > > tablespaces, > > > The results are good. > > > I want to replicate the performance to confirm the results as well. > > > Could you share how you measured the recovery replay? > > > > I forgot the actual steps that I used for the measurement. > > But I think they are something like > > > > 1. create database "hoge" > > 2. create 1,000 tablespaces > > 3. create 1,000 tables on the database "hoge". > > each table should be placed in different tablespace. > > 4. take a base backup > > 5. drop database "hoge" > > 6. shutdown the server with immediate mode 7. start an archive recovery from > > the backup taken at #4 8. measure how long it takes to apply DROP DATABASE > > record by > > checking the timestamp at REDO start and REDO end. > > > > I think that I performed the above steps on the master and the patched version. > > > > > Did you actually execute a failover? > > > > No. > > I'm sorry for the late reply, and thanks for the guide above. > I replicated the same recovery test above on a standalone server > and have confirmed with the logs that the patch made the recovery faster. > > [MASTER/UNPATCHED] ~10 seconds > 2019-11-19 15:25:23.891 JST [23042] LOG: redo starts at 0/180006A0 > ... > 2019-11-19 15:25:34.492 JST [23042] LOG: redo done at 0/1800A478 > > [PATCHED] ~less than 1 sec > 2019-11-19 15:31:59.415 JST [17625] LOG: redo starts at 0/40005B8 > ... > 2019-11-19 15:32:00.159 JST [17625] CONTEXT: WAL redo at 0/4000668 for Database/DROP: dir 1663/16384 16385/16384...//furtherdetails ommitted//... > ... > 2019-11-19 15:32:00.159 JST [17625] LOG: redo done at 0/4001638 > > I believe there are no problems, so I am marking this patch now > as "Ready for Committer". Thanks for the review! Committed. Regards, -- Fujii Masao
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