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Re:Show HN: 1M rows/s from Postgres to Python by zzzeek on Thursday August 04, 2016 @06:31PM (#12228923)
> Mike, I've never suggested to have a DB connection per HTTP request.

right, so my suggestion is, keep the DB code in a thread pool. So you can use the async for your 1000-client frontend and not force it into the DB layer where it makes things much more complicated (or what I do, just use gevent :) ).

Re:Show HN: 1M rows/s from Postgres to Python by allendoerfer on Thursday August 04, 2016 @06:38PM (#12228953)
Sorry to interrupt: You two can click on the timestamp to answer your posts. Please continue, we are listening carefully.

And since I am already here @1st1: How hard would it be to create a synchronous version of your adapter?

Re:Show HN: 1M rows/s from Postgres to Python by 1st1 on Thursday August 04, 2016 @06:49PM (#12229001)
A lot of code in asyncpg is datatypes parsers, buffer abstractions, API facade and other IO independent things. So good news is that it would be possible to reuse a lot of code.

Protocol is implemented in two layers -- the base layer is IO and framework independent. The higher level is designed for asyncio.

Long story short, it's possible to add a synchronous version, but it still will require a lot of work. The API will also have to be split in two.

Re:Show HN: 1M rows/s from Postgres to Python by zzzeek on Thursday August 04, 2016 @07:24PM (#12229144)
It's possible to make a really nice async sqlalchemy core too, and even some of the ORM. huge amount of work, i started on just the connection pool. Would be nice but require all its own test coverage and everything. If i was the CEO of sqlalchemy inc, it would have been done. But that's not where my salary comes from :)
Re:Show HN: 1M rows/s from Postgres to Python by allendoerfer on Thursday August 04, 2016 @08:10PM (#12229304)
SQLAlchemy is clearly one of the best ORMs (maybe there is something in Java-land that I don't know). It is beyond me how you are not guilted by cash getting thrown in your direction into making this your job.

Well, I like what bountysource.com and others are doing, maybe we will get there.

Re:Show HN: 1M rows/s from Postgres to Python by infinite8s on Friday August 05, 2016 @10:25AM (#12232525)
It's the tragedy of open source. See - https://news.ycombinator.com/item?id=10905845
Re:Show HN: 1M rows/s from Postgres to Python by allendoerfer on Thursday August 04, 2016 @07:04PM (#12229074)
I think you should open a bounty for it. As questions like "Can I use this with Django/SQLAlchemy/…?" showed, people love drop-in replacements that speed up their code, especially when it is at a low level like this.

Do not want to sound ungrateful, though. Thank you for your work also on you other contributions. Would definitely use this when applicable. Are more performance related projects like this and uvloop planned?

Re:Show HN: 1M rows/s from Postgres to Python by 1st1 on Thursday August 04, 2016 @07:18PM (#12229129)
> I think you should open a bounty for it. As questions like "Can I use this with Django/SQLAlchemy/…?" showed, people love drop-in replacements that speed up their code, especially when it is at a low level like this.

We'll consider doing that. We have to keep in mind that supporting two IO modes will add a lot of maintenance overhead. Anyways, we can certainly continue the discussion on GH, and maybe we can find a champion to do the heavy-lifting.

> Do not want to sound ungrateful, though. Thank you for your work also on you other contributions. Would definitely use this when applicable. Are more performance related projects like this and uvloop planned?

Thank you.

Right now most of our resources are consumed by getting EdgeDB alpha out as soon as possible. We also have plans to create a micro web framework based on httptools and few other exciting ideas. Stay tuned :)

Also check out PEP 525 -- another cool thing we're trying to make happen in Python 3.6.

Re:Show HN: 1M rows/s from Postgres to Python by 1st1 on Thursday August 04, 2016 @06:41PM (#12228967)
> right, so my suggestion is, keep the DB code in a thread pool. So you can use the async for your 1000-client frontend and not force it into the DB layer where it makes things much more complicated (or what I do, just use gevent :) ).

Looks like a totally valid suggestion for folks who write async code and want to continue to use SQL Alchemy.

However, if you don't use SQL Alchemy (or another ORM) and just want to work with the DB directly in an async/await code base, having a threadpool will only needlessly complicate things.