uvloop VS rfcs

I wound up on a different team with pre-existing Python code so temporarily shelved my use of Go for a bit, and we used Sanic (an async Python framework built on top of the excellent uvloop & libuv that also powers Node.js) to build some APIs for live channel management & operations. We hand-wrote our OpenAPI and used it to generate documentation and a CLI, which was an improvement over what was there (or not) before. Other teams used the OpenAPI document to generate SDKs to interact with our service.

If you're looking for maximum requests per second you can change the asyncio event loop with one like UVLoop.

An optional package uvloop can also be install if working on Linux:

The source code from the project resides in the github, with more than 8.6k stars and 596 forks is a very popular github, but no new releases are made since 2018, looks pure much not maintained anymore, no PR's are accepted no Issues are closed, still without windows or macOS Silicon, or PyPy3 support. Japronto it self uses uvloop with more than 9k stars and 521 forks and different from japronto is seems to be well maintained.

If you are building server-side applications using Python 3 and async API and if you didn't use https://github.com/MagicStack/uvloop, you are missing out on performance big time.

Also, if you happen to build microservices, don't forget to try PyPy, that's another easy performance booster (if it's compatible to your app).

Not that bad actually, with a different event loop implementation (such as https://github.com/MagicStack/uvloop). Not sure how well it will perform in a browser though

And so I did some searching, and found that SearX isn't officially supported on Windows. Not to be deterred, I did another quick search and found that with pip and/or docker, you should be able to install SearX straightforwardly on Windows. After trying this for a bit, I realized that uvloop, a (questionably optional dependency of SearX) is not supported on Windows. I tried a couple things to get it to work, but they didn't end up working for me either through user error, ignorance, or plain old not working.

they also wrote uvloop [0] which is fantastic and advances the cutting edge of what can be done with modern asyncio-based Python. I saw a ~3x improvement in the throughput of a microservice I wrote when I first tried it out years ago. currently at $dayjob we just use it by default in every Python service, whether or not we expect that service to be performance-critical.

0: https://github.com/MagicStack/uvloop

If you manage to grok how uvloop works as well as Python's default asyncio loop scheduler, you'll understand this style. It is not by itself a parallelism enabler, but network I/O the coroutines triggered would run in parallel nevertheless, though CPU bound computations would not by default.

Search it is! I could implement search that searches for exact tokens in the tools the author connected and the README, but I want to wait for anything more until EdgeDB releases its full-text search solution https://github.com/edgedb/rfcs/blob/master/text/1015-full-te...

I actually had a feature in mind where people could vote on starters they want and others could build them out and list them for free or a price. Do you think that would fit your needs and is there anything in particular you'd want to see in a feature like that?

Replied on Twitter!

> I see EdgeDB as primarily focused on transactional queries, whereas PRQL is very focused on analytical queries.

That's true to an extent currently, but we actually envisioned EdgeQL to be a capable analytical query language too. We'll release EdgeDB 2.0 in a couple of weeks and it will feature a powerful GROUP BY statement (read more about it here [1]) and in 3.0 we might ship window functions (or some equivalent).

With all that said PRQL looks cool!

[1] https://github.com/edgedb/rfcs/blob/master/text/1009-group.r...

>> We shall do better than SQL

> The EdgeQL language looks cool, and I'm sure querying via a graph structure makes certain problems easier in some use cases. However as much as people have complained about SQL, it's just so ubiquitous there needs to be a very good reason to switch away from it. Not having to write joins isn't really a good enough reason, in my opinion.

Oh, it goes much deeper than not writing joins. There's no single ORM out there that can implement a TypeScript query builder like ours, see the example in [1]. This is only possible because of EdgeQL composability, but that composability required us to rethink the entire relational foundation.

> > The true source of truth

> I'm not sure why this means EdgeDB is better. <..>

This section implies that EdgeDB's schema allows to specify a lot of meta / dynamically computed information in it. And soon your access control policies. Take a look at the work-in-progress RFC [2] [3] to see how this is more powerful, then say, Postgres' row level security.

> > Not just a database server

> It sounds like they have a solid client, which is awesome.

Also lightweight connections to the DB so that you can have thousands of concurrent ones without load balancers, built-in schema migrations engine, and many other things. In fact we have so much that it's challenging what to even highlight in a blog post like the 1.0 announcement.

> Cloud-ready database APIs

> This used to be true, but is definitely no longer true. Cloud-native databases are everywhere and incredibly common. See any major cloud, https://www.cockroachlabs.com/, or any of the tons of other database solutions.

Not to pick on CockroachDB (they have an amazing product and company, we love them), but you should benchmark local install of Postgres and Cockroach to see yourself that scalability still has a significant cost in performance.

[1] https://www.edgedb.com/blog/edgedb-1-0#not-just-a-database-s...

[2] https://github.com/edgedb/rfcs/pull/49

[3] https://github.com/edgedb/rfcs/pull/50/files

EdgeQL is getting support for generic partitioning/aggregating `GROUP` very soon [1], so we are giving some love to the analytical side of things too :-)

We definitely need more collective effort put into "Better SQL", so PRQL is a welcome sight!

[1] https://github.com/edgedb/rfcs/blob/21e581a188715c6ff82944b6...