In addition to the PostgreSQL `SQLITE` type, pglite-fusion provides the `query_sqlite`` function for querying SQLite databases and the `execute_sqlite` function for updating them. Additional functions are listed in the project’s README.
The pglite-fusion extension is written in Rust using the pgrx framework [1].
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Implementation Details
The PostgreSQL `SQLITE` type is stored as a CBOR-encoded `Vec<u8>`. When a query is made, this `Vec<u8>` is written to a random file in the `/tmp` directory. SQLite then loads the file, performs the query, and returns the result as a table containing a single row with an array of JSON-encoded values.
The `execute_sqlite` function follows a similar process. However, instead of returning query results, it returns the contents of the SQLite file (stored in `/tmp`) as a new `SQLITE` instance.
I like the simplicity of SQLite's "a file is all you need" approach so much, that I started to converge all my projects to SQLite. So far, I have not come across any roadblocks.
Can anyone think of a use case where PostgreSQL is better suited than SQLite?
Sqlite on the server is a fantastic starter database. Dead simple to set up, highly performant and scales way higher (vertically) than anyone gives it credit for.
But there certainly is a point you'll have to scale out instead of up, and while there are some great solutions for that (rqlite, litefs, dqlite, marmot) it's not inherent to Sqlite's design.
Replication means writing queries which alter the data to multiple machines, right?
Shouldn't that be done by a software one level up? Which takes in the queries via some network protocol and then sends them to all machines.
That would sound more logical to me.
It's fine to want to separate those out, but it's not easy to do so and there are reasons they've been coupled for decades.
Sending a UPDATE/INSERT/DELETE statement to SQLite is not blocking? I would think it is, because in my code I can read the number of affected rows right after I sent the query.
> What do you do about out-of-sync read replicas?
Delete them and replace them by uploading a checkpoint and replaying a log of the queries since then.
Without that you will have drift from your master database.
With that, you have a whole new host of synchronization issues you need to deal with.