Re: Writing Trigger Functions in C
От | Charles Gomes |
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Тема | Re: Writing Trigger Functions in C |
Дата | |
Msg-id | BLU002-W66CB5971D7BECD0995A6EAAB210@phx.gbl обсуждение исходный текст |
Ответ на | Re: Writing Trigger Functions in C (Robert Haas <robertmhaas@gmail.com>) |
Список | pgsql-hackers |
---------------------------------------- > Date: Sat, 29 Dec 2012 23:45:06 -0500 > Subject: Re: [HACKERS] Writing Trigger Functions in C > From: robertmhaas@gmail.com > To: charlesrg@outlook.com > CC: cbbrowne@gmail.com; pgsql-hackers@postgresql.org > > On Mon, Dec 24, 2012 at 10:43 AM, Charles Gomes <charlesrg@outlook.com> wrote: > > And I had no performance improvements at all. > > Took the same time as with the previous EXECUTE statement; > > > > I don't see what am I doing wrong. > > You might not be doing anything wrong. Triggers ARE slow. > > If you have "perf" on your system, you could use "perf top" or "perf > record -a" to find out where the CPU time is going while you're doing > stuff that fires this trigger. That might provide some clues about > how to optimize. But it may be that you'll get a completely flat > profile, or something that otherwise boils down to ... triggers are > slow. > > In answer to your original question, there is a C language trigger in > contrib/tcn. But, without some proof that the use of PL/pgsql is the > problem, I don't know how far down that road it's worth going. It > might be worth writing a C trigger that does nothing but return the > original tuple, or even a PL/pgsql one. This obviously wouldn't > accomplish anything as far as partitioning goes, but it would let you > measure the overhead of calling a no-op trigger, which could be a > useful thing to know. > > -- > Robert Haas > EnterpriseDB: http://www.enterprisedb.com > The Enterprise PostgreSQL Company I've translated the trigger to C and performance had not increased, just like you guys said. I've created an article withthe trigger and the metrics in case anyone becomes interested in the future http://www.charlesrg.com/linux/71-postgresql-partitioning-the-database-the-fastest-way
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