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The PlanetScale serverless driver for JavaScript

planetscale.com

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Re: The PlanetScale serverless driver for JavaScript

#3

This is huge for me. I went down the path of trying to build an entire API on CF Workers and the biggest stumbling block was no easy access to external relational databases due to a lack of v8 compatible connectors. This was before the D1 announcement of course.

did you look into fauandb (https://fauna.com/) ?

if so and you used it, what was you experience running fauna in CF workers?

Re: The PlanetScale serverless driver for JavaScript

#5

This is huge for me. I went down the path of trying to build an entire API on CF Workers and the biggest stumbling block was no easy access to external relational databases due to a lack of v8 compatible connectors. This was before the D1 announcement of course.

Does CF workers support TCP yet?

Re: The PlanetScale serverless driver for JavaScript

#8
This is great! Potentially the missing piece in the world of "serverless": a serverless SQL database accessible over HTTP with no minimum price. I saw AWS Aurora has a Data API but currently that does have a minimum monthly cost. Fauna is possibly the closest, but that appears to involve translating SQL to its FQL. How stable is the beta?

Re: The PlanetScale serverless driver for JavaScript

#9
post #6

Curious what the performance impact is of replacing TCP with HTTP for this kind of thing

Great question! Author of a lot of the infrastructure surrounding this here.

I plan on following up with a more technical deep dive on some of these aspects, but it's quite a bit hard to do a 1:1 comparison.

While, obviously, HTTP also uses TCP, I'm going to assume you're asking more about the binary MySQL protocol vs HTTP.

On the surface, yes, HTTP is going to have more overhead with headers and the other aspects that come with HTTP. Also, in this case, the payload is JSON, both on the request and response, which is going to be slightly more bulky than the payloads over the MySQL protocol.

So where things get interesting is the real world performance implications. Networks and CPUs are really fast. HTTP has been extremely scrutinized and JSON as well. While they are admittedly not the most efficient standards, they are used so heavily and parsers are heavily optimized for these protocols.

Mixing in modern TLS 1.3 with modern ciphers, which is something you're very unlikely to get with a traditional MySQL client, we can achieve a much faster first connection time. Pairing with modern ciphers that are demanded for TLS 1.3, and the transport itself can be significantly faster than a slower cipher. This isn't the best comparison since typically you're using MySQL without TLS, but when talking to a service provider like us, we require it for obvious reasons.

Next, with HTTP, we get to leverage compression. In our case, we can use browser level native compression with gzip, or if using something server side, we support compressions like snappy. Combine something like gzip or snappy with HTTP/2 now, and given that the bulk of a query result is typically the result itself, and not the protocol, compression can make up a decent amount of the difference. Again, I'm being hand wavy since every query pattern and results are going to be wildly different based on your data, so it's not anything fair to say "this is x% more or less efficient."

And lastly, with HTTP, especially HTTP/2, we can multiplex connections. So similar to the gains with TLS 1.3, you can do many many concurrent database sessions across 1 actual TCP connection with HTTP/2. And similarly to TLS 1.3, the cost here is in connection timings, and management of a connection pool. You don't need a pool of connections on the client, so your startup times can be reduced.

As a stretch goal, HTTP/3 (with QUIC) is in the crosshairs, which should eliminate some more transport cost since it uses UDP rather than TCP. My hunch is all of this combined together, an optimized driver leveraging HTTP/3 might beat out a MySQL client overall. Time will tell though!

So there's no simple answer here, everything has tradeoffs. :)

Re: The PlanetScale serverless driver for JavaScript

#10

This is great! Potentially the missing piece in the world of "serverless": a serverless SQL database accessible over HTTP with no minimum price. I saw AWS Aurora has a Data API but currently that does have a minimum monthly cost. Fauna is possibly the closest, but that appears to involve translating SQL to its FQL. How stable is the beta?

But it doesn't seem to habe serverless/pay-as-you-go pricing.
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