RE: [HACKERS] Cached plans and statement generalization - Mailing list pgsql-hackers
From | Yamaji, Ryo |
---|---|
Subject | RE: [HACKERS] Cached plans and statement generalization |
Date | |
Msg-id | 9A6E5062D5D4DB458C80C2B2920BD71D5C2FA8@g01jpexmbkw23 Whole thread Raw |
In response to | Re: [HACKERS] Cached plans and statement generalization (Konstantin Knizhnik <k.knizhnik@postgrespro.ru>) |
Responses |
Re: [HACKERS] Cached plans and statement generalization
Re: [HACKERS] Cached plans and statement generalization |
List | pgsql-hackers |
> -----Original Message----- > From: Konstantin Knizhnik [mailto:k.knizhnik@postgrespro.ru] > Sent: Friday, January 12, 2018 9:53 PM > To: Thomas Munro <thomas.munro@enterprisedb.com>; Stephen Frost > <sfrost@snowman.net> > Cc: Michael Paquier <michael.paquier@gmail.com>; PostgreSQL mailing > lists <pgsql-hackers@postgresql.org>; Tsunakawa, Takayuki/綱川 貴之 > <tsunakawa.takay@jp.fujitsu.com> > Subject: Re: [HACKERS] Cached plans and statement generalization > > Thank you very much for reporting the problem. > Rebased version of the patch is attached. Hi Konstantin. I think that this patch excel very much. Because the customer of our company has the demand that migrates from other DB to PostgreSQL, and the problem to have to modify the application program to do prepare in that case occurs. It is possible to solve it by the problem's using this patch. I want to be helping this patch to be committed. Will you participate in the following CF? To review this patch, I verified it. The verified environment is PostgreSQL 11beta2. It is necessary to add "executor/spi.h" and "jit/jit.h" to postgres.c of the patch by the updating of PostgreSQL. Please rebase. 1. I confirmed the influence on the performance by having applied this patch. The result showed the tendency similar to Konstantin. -s:100 -c:8 -t: 10000 read-only simple: 20251 TPS prepare: 29502 TPS simple(autoprepare): 28001 TPS 2. I confirmed the influence on the memory utilization by the length of query that did autoprepare. Short queries have 1 constant. Long queries have 100 constants. This result was shown that preparing long query used the memory more. before prepare:plan cache context: 1032 used prepare 10 short query statement:plan cache context: 15664 used prepare 10 long query statement:plan cache context: 558032 used In this patch, the maximum number of query that can do prepare can be set to autoprepare_limit. However, is it good in this? I think that I can assume the scene in the following. - Application side user: To elicit the performance, they want to specify the number of prepared query. - Operation side user: To prevent the memory from overflowing, they want to set the maximum value of the memory utilization. Therefore, I propose to add the parameter to specify the maximum memory utilization. 3. I confirmed the transition of the amount of the memory when it tried to prepare query of the number that exceeded the value specified for autoprepare_limit. [autoprepare_limit=1 and execute 10 different queries] plan cache context: 1032 used plan cache context: 39832 used plan cache context: 78552 used plan cache context: 117272 used plan cache context: 155952 used plan cache context: 194632 used plan cache context: 233312 used plan cache context: 272032 used plan cache context: 310712 used plan cache context: 349392 used plan cache context: 388072 used I feel the doubt in an increase of the memory utilization when I execute a lot of query though cached query is one (autoprepare_limit=1). This behavior is correct? Best regards, Yamaji
pgsql-hackers by date: