wp-sqlite-db VS litestream

Before they added SQLite as WP plugin, I would use https://github.com/aaemnnosttv/wp-sqlite-db/ and I would use `define('DB_DIR', '/absolute/custom/path/to/directory/for/sqlite/database/file/');` to define the database location of my choice; I believe they would let users do the same with core support.

They basically took this implementation and just adapted it to coding standards:

https://github.com/aaemnnosttv/wp-sqlite-db

This has been around since some time and is itself a fork of a previous work.

The interesting part is that this drop-in replacement (mostly) already works well, there are a few issues that are related to some quirks in the WordPress core itself, for example: https://github.com/aaemnnosttv/wp-sqlite-db/issues/18

And maybe now they will be fixed.

Author here, here's an in-depth writeup on how this works and why it's useful:

https://make.wordpress.org/core/2022/09/23/client-side-webas...

To answer your questions directly:

WebAssembly is the magic sauce that transforms server-side code into client-side code. MySQL unfortunately is not yet supported by WebAssembly, so I applied a plugin that adds SQLite supports to WordPress [0]. The WebAssembly application has its own in-memory filesystem that lives in a specific browser tab and is scraped as soon as you close it.

So – technically it exposes db credentials, and even the entire DB, but that you are the only user of that DB so it's okay.

> What would the backend look like

The only backend is a static file server where the code and the database live. Your browser downloads a copy of the database and allows you to modify it in the current tab, but the updates are never saved back to the server.

[0] https://github.com/aaemnnosttv/wp-sqlite-db

1. Plugins that register their own database tables (however there already exists prior art such as https://github.com/aaemnnosttv/wp-sqlite-db for handling these cases)

2. Plugins that do direct queries against the standard database schema (broadly either for invalid (bad code) or performance (valid but slim use case) reasons)

Also, WordPress would of course keep the old query functions around and they would likely add a tag to the plugin repository so authors can mark plugins as supporting thes new ORM features.

Great idea in my opinion!

There's a WordPress plugin that adds support for SQLite as an alternative to MySQL.

Apparently it works really well. The implementation is (to my) simply astonishing: they run regular expressions against the SQL to convert it from MySQL dialect to SQLite! https://github.com/aaemnnosttv/wp-sqlite-db/blob/9a5604cce13...

This wp-sqlite-db one. Not super active, but maintained, at least.

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.