Re: best way to write large data-streams quickly?
От | Steve Atkins |
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Тема | Re: best way to write large data-streams quickly? |
Дата | |
Msg-id | 1137E1BF-BEEE-4EB9-B284-2AC923C2A016@blighty.com обсуждение исходный текст |
Ответ на | best way to write large data-streams quickly? (Mark Moellering <markmoellering@psyberation.com>) |
Ответы |
Re: best way to write large data-streams quickly?
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Список | pgsql-general |
> On Apr 9, 2018, at 8:49 AM, Mark Moellering <markmoellering@psyberation.com> wrote: > > Everyone, > > We are trying to architect a new system, which will have to take several large datastreams (total of ~200,000 parsed filesper second) and place them in a database. I am trying to figure out the best way to import that sort of data into Postgres. > > I keep thinking i can't be the first to have this problem and there are common solutions but I can't find any. Does anyoneknow of some sort method, third party program, etc, that can accept data from a number of different sources, and pushit into Postgres as fast as possible? Take a look at http://ossc-db.github.io/pg_bulkload/index.html. Check the benchmarks for different situations compared toCOPY. Depending on what you're doing using custom code to parse your data and then do multiple binary COPYs in parallel may bebetter. Cheers, Steve
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