Re: Parallel sec scan in plpgsql
От | Robert Haas |
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Тема | Re: Parallel sec scan in plpgsql |
Дата | |
Msg-id | CA+TgmobF7_f_x8KiwRyNA0Lj-d7RxKNBQ6KUL-sAQNuF_B1_5A@mail.gmail.com обсуждение исходный текст |
Ответ на | Re: Parallel sec scan in plpgsql (Amit Kapila <amit.kapila16@gmail.com>) |
Ответы |
Re: Parallel sec scan in plpgsql
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Список | pgsql-hackers |
On Sat, Sep 17, 2016 at 11:54 PM, Amit Kapila <amit.kapila16@gmail.com> wrote: > In general, I think we should support the cases as required (or > written) by you from plpgsql or sql functions. We need more work to > support such cases. There are probably two ways of supporting such > cases, we can build some intelligence in plpgsql execution such that > it can recognise such queries and allow to use parallelism or we need > to think of enabling parallelism for cases where we don't run the plan > to completion. Most of the use cases from plpgsql or sql function > fall into later category as they don't generally run the plan to > completion. I think there's certainly more work that could be done to teach PL/pgsql about cases where the query will run to completion. I didn't work very hard to make sure we covered all of those; there are probably several different cases where parallelism could be safely enabled but currently isn't. Also, I didn't do anything at all to update the other PLs, and that would be good, too. However, I think the chances of supporting parallel query for queries not executed to completion any time in the near future are very poor. Once the query is suspended, the user can do anything they like, including stuff that's parallel-unsafe, and then we have no choice but to error out, and that's not what we want to happen. If we had absolutely no parallel-unsafe operations - which would be quite a feat - then we might be able to get there. But even then you have the problem that while the query is suspended, you are still nailing down workers that are sitting around idle, waiting for the leader to resume the query, and that's not very good either. -- Robert Haas EnterpriseDB: http://www.enterprisedb.com The Enterprise PostgreSQL Company
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