Re: Support Parallel Query Execution in Executor
От | Josh Berkus |
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Тема | Re: Support Parallel Query Execution in Executor |
Дата | |
Msg-id | 200604071752.16202.josh@agliodbs.com обсуждение исходный текст |
Ответ на | Re: Support Parallel Query Execution in Executor ("Mike Rylander" <mrylander@gmail.com>) |
Ответы |
Re: Support Parallel Query Execution in Executor
Re: Support Parallel Query Execution in Executor |
Список | pgsql-hackers |
Qingquing, > First, I want to second Jonah's enthusiasm. This is very exciting! Me, three! I didn't think this was ever going to come to Postgres absent major corporate funding. > This is really only a gut feeling for me (it can't be otherwise, since > we can't yet test), but I think parallelizing a single seqscan is > pretty much guaranteed to do nothing, because seqscans, especially on > large tables, are IO bound. Actuall, not true. Our current seqscan performance suffers from produce-consumer fluctuation. GreenPlum and Sun did a whole bunch of testing on this. Basically reading a large table off disk does this: read some table while not processing process in cpu while not reading read some more table while not processing process some more in cpu while not reading etc. resulting in an I/O througput graph that looks like: * * * * * * * * * * * * * * ** * * * The really annoying part about this, for me personally, is that the peaks are significantly faster than comparable commercial DBMSes ... but our average is far less. So even on a single seq scan, parallel query execution would make a significant difference in performance, possibly as much as +75% on seq scans of large tables. -- --Josh Josh Berkus Aglio Database Solutions San Francisco
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