Re: [HACKERS] Block level parallel vacuum WIP
От | Masahiko Sawada |
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Тема | Re: [HACKERS] Block level parallel vacuum WIP |
Дата | |
Msg-id | CAD21AoBdUquFaGYtQk2nwbQYh0Nptu8z4HO_k1TopGbrQp=nzg@mail.gmail.com обсуждение исходный текст |
Ответ на | Re: [HACKERS] Block level parallel vacuum WIP (Simon Riggs <simon@2ndquadrant.com>) |
Ответы |
Re: [HACKERS] Block level parallel vacuum WIP
Re: [HACKERS] Block level parallel vacuum WIP |
Список | pgsql-hackers |
On Mon, Jan 9, 2017 at 6:01 PM, Simon Riggs <simon@2ndquadrant.com> wrote: > On 9 January 2017 at 08:48, Masahiko Sawada <sawada.mshk@gmail.com> wrote: > >> I had not considered necessity of dead lock detection support. > > It seems like a big potential win to scan multiple indexes in parallel. > > Does the design for collecting dead TIDs use a variable amount of > memory? No. Collecting dead TIDs and calculation for max dead tuples are same as current lazy vacuum. That is, the memory space for dead TIDs is allocated with fixed size. If parallel lazy vacuum that memory space is allocated in dynamic shared memory, else is allocated in local memory. > Does this work negate the other work to allow VACUUM to use > > 1GB memory? Partly yes. Because memory space for dead TIDs needs to be allocated in DSM before vacuum worker launches, parallel lazy vacuum cannot use such a variable amount of memory as that work does. But in non-parallel lazy vacuum, that work would be effective. We might be able to do similar thing using DSA but I'm not sure that is better. Attached result of performance test with scale factor = 500 and the test script I used. I measured each test at four times and plot average of last three execution times to sf_500.png file. When table has index, vacuum execution time is smallest when number of index and parallel degree is same. Regards, -- Masahiko Sawada NIPPON TELEGRAPH AND TELEPHONE CORPORATION NTT Open Source Software Center -- Sent via pgsql-hackers mailing list (pgsql-hackers@postgresql.org) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-hackers
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