lighthouse VS litestream

Sure.

1. SQLC is little more than a template generator for Prepared Statements wrapped in a class. [https://www.php.net/manual/en/mysqli.quickstart.prepared-sta...]. It's not exactly a mind bending or time saving tool.

2. There are multiple OpenAPI generators for PHP, in fact, they existed from nearly the start of the OpenAPI protocol (formerly Swagger) when Go was barely a year old. Here's a current popular one: https://openapi-generator.tech/docs/generators/php/]

3. PHP also, (unsurprisingly given the origination point of the spec) has many GraphQL implementations that support any database driver over ODBC, key-value stores, or even flat files. Here's one that plugs into Laravel [https://lighthouse-php.com/]

4. PHP has many mature, modern embedded KV store options... but it's also had one in the standard lib since years before Go even existed, or the concept of KV stores was even popular. [https://www.php.net/manual/en/class.splobjectstorage.php].

On your non-numbered points...

Go and PHP are fairly similar in raw processing speed since the JIT was added to PHP. However raw number crunching is rarely realistic when most applications are going to be using databases, stores, etc. So why not look at a benchmark of popular frameworks in both languages - which shows, again that the two are fairly similar in performance. [https://www.techempower.com/benchmarks/#section=data-r21&l=z...]

PHP has also had types for about 4 years now. It's not statically typed, but that's a preference, not a pro/con situation.

Built-in formatting is also a preference, not a pro/con situation. Many developers strongly dislike languages like Go and Python for this.

PHP has had one of the most powerful and useful package management ecosystems in the entire open source world since composer mostly replaced PEAR nearly a decade ago. It also has mature and well loved testing tooling. Neither of which are built in, because why would you need to build in tools that the community already creates and maintains for free?

I don't know what "bugs" you faced in the PHP stdlib, but I will concede that it is painful to use. Most of the stdlib is little more than a wrapper around C functions of the same name, and they inherit the frustration of using those C functions.

Laravel does allow you to write things by hand. You can also just define them ahead of time and have the Migrations, Models, Controllers, Views, Transformers and more generated for you automatically. [https://blueprint.laravelshift.com/]

There you go, there's your links. But frankly, you didn't need them. There's little you mentioned that's unique to Go at all, you just named a bunch of things that have become popular tools for most modern languages still being actively developed. I'm not sure why you think any of these things are Go-specific - some of them are maintained by the Go core team, like other newer languages have started doing, but that's it.

I am starting a new Laravel project with Lighthouse and have been problems with resolving non root fields. According to the documentation here for each of the fields that have complex types, there should be a model and a query provided for the field. So in this example I have a Version object which has two subfields: appVersion and apiVersion. Here is what I have in my schema.graphql file: ``` type Query { version: Version }

Those are the two main differences between GQL and REST. I can't tell you if it is suitable for your project, but now I hope you can make an informed decision. Also, for the idea that "GraphQL feels more aligned with creating a backend in Node," that's just BS. GraphQL is not aligned with any particular language, and the official project page lists various implementations. For Laravel specifically, you may want to look at the Lighthouse project.

It may be beyond the scope of what you’re willing to do at this point, but I would consider switching to a GraphQL API. Gives your frontend a lot of flexibility in what data is requested with a lot less code dedicated to resources and controllers. Check out the lighthouse-php package if you’re feeling a bit adventurous.

Lighthouse is a good option too: https://lighthouse-php.com/

For multi-user apps Laravel Sanctum, Lighthouse for Laravel are options worth considering, haven't them tested yet.

The most popular GraphQL libraries for Laravel are Rebing & Lighthouse, in our tutorial we will be using Rebing which we can install by running:

if you have no problem with php, take a look at Laravel with this package

A third way you could take is GraphQL, which is designed for querying and selecting things at arbitrary depths. Lighthouse looks to be a very nice graphql server for Laravel, from what I've used of it anyway. Pull up a graphql tutorial (the one on graphql.org is pretty good) and give Lighthouse a spin.

I have not, but I keep meaning to collate everything I've learned into a set of useful defaults just to remind myself what settings I should be enabling and why.

Regarding Litestream, I learned pretty much all I know from their documentation: https://litestream.io/

This presentation is focused on the use-case of vertically scaling a single server and driving everything through that app server, which is running SQLite embedded within your application process.

This is the sweet-spot for SQLite applications, but there have been explorations and advances to running SQLite across a network of app servers. LiteFS (https://fly.io/docs/litefs/), the sibling to Litestream for backups (https://litestream.io), is aimed at precisely this use-case. Similarly, Turso (https://turso.tech) is a new-ish managed database company for running SQLite in a more traditional client-server distribution.

This post intends to help you setup replication for SQLite using Litestream.

I've been messing around with litestream. It is so cool. And, I either found a bug in the -timestamp switch or don't understand it correctly.

What I want to do is time travel into my sqlite database. I'm trying to do some forensics on why my web service returned the wrong data during a production event. Unfortunately, after the event, someone deleted records from the database and I'm unsure what the data looked like and am having trouble recreating the production issue.

Litestream has this great switch: -timestamp. If you use it (AFAICT) you can time travel into your database and go back to the database state at that moment. However, it does not seem to work as I expect it to:

https://github.com/benbjohnson/litestream/issues/564

I have the entirety of the sqlite database from the production event as well. Is there a way I could cycle through the WAL files and restore the database to the point in time before the records I need were deleted?

Will someone take sqlite and compile it into the browser using WASM so I can drag a sqlite database and WAL files into it and then using a timeline slider see all the states of the database over time? :)

We're using SQLite in production very heavily with millions of databases and fairly high operations throughput.

But we did run into some scariness around trying to use Litestream that put me off it for the time being. Litestream is really cool but it is also very much a cool hack and the risk of database corruption issues feels very real.

The scariness I ran into was related to this issue https://github.com/benbjohnson/litestream/issues/510

Litestream is a library that allows you to easily create backups. You can probably just do analytic queries on the backup data and reduce load on your server.

https://litestream.io/

One possible strategy is to have one directory/file per customer which is one SQLite file. But then as the user logs in, you have to look up first what database they should be connected to.

OR somehow derive it from the user ID/username. Keeping all the customer databases in a single directory/disk and then constantly "lite streaming" to S3.

Because each user is isolated, they'll be writing to their own database. But migrations would be a pain. They will have to be rolled out to each database separately.

One upside is, you can give users the ability to take their data with them, any time. It is just a single file.

[0]. https://litestream.io/

Upstream Kuma uses a local SQLite database to store account data, configuration for services to monitor, notification settings, and more. To make sure that our data is available across redeploys, we will bundle Uptime Kuma with Litestream, a project that implements streaming replication for SQLite databases to a remote object storage provider. Effectively, this allows us to treat the local SQLite database as if it were securely stored in a remote database.