Lightweight SQLite ORM

Kestrel 5e31a525c0 Rustfmt pass and removed legacy interface. 2 éve
microrm 5e31a525c0 Rustfmt pass and removed legacy interface. 2 éve
microrm-macros 03d4cee5f0 Figured out good way to cache built queries via TypeId. 2 éve
.gitignore 03d4cee5f0 Figured out good way to cache built queries via TypeId. 2 éve
.vimrc d06683b9f6 rustfmt pass and get_one_by_multi support. 2 éve
Cargo.lock 9123fcca7e WIP for query builder 2 éve
Cargo.toml 249a902265 Add cargo workspace. 2 éve
README.md 5e31a525c0 Rustfmt pass and removed legacy interface. 2 éve

README.md

microrm is a crate providing a lightweight ORM on top of SQLite.

Unlike fancier ORM systems, microrm is intended to be extremely lightweight and code-light, which means that by necessity it is opinionated, and thus lacks the power and flexibility of, say, SeaORM or Diesel. In particular, microrm currently makes no attempts to provide database migration support.

microrm provides two components: modeling and querying. The intention is that the modelling is built statically; dynamic models are not directly supported though are possible. However, since by design microrm does not touch database contents for tables not defined in its model, using raw SQL for any needed dynamic components may be a better choice.

Querying supports a small subset of SQL expressed as type composition.

A simple example using an SQLite table as an (indexed) key/value store might look something like this:

use microrm::prelude::*;
use microrm::{Entity,make_index};
#[derive(Debug,Entity,serde::Serialize,serde::Deserialize)]
pub struct KVStore {
    pub key: String,
    pub value: String
}

// the !KVStoreIndex here means a type representing a unique index named KVStoreIndex
make_index!(!KVStoreIndex, KVStore::Key);

let schema = microrm::Schema::new()
    .entity::<KVStore>()
    .index::<KVStoreIndex>();

// dump the schema in case you want to inspect it manually
for create_sql in schema.create() {
    println!("{};", create_sql);
}

let db = microrm::DB::new_in_memory(schema).unwrap();
let qi = db.query_interface();

qi.add(&KVStore {
    key: "a_key".to_string(),
    value: "a_value".to_string()
});

// because KVStoreIndex indexes key, this is a logarithmic lookup
let qr = qi.get().by(KVStore::Key, "a_key").one().expect("No errors encountered");

assert_eq!(qr.is_some(), true);
assert_eq!(qr.as_ref().unwrap().key, "a_key");
assert_eq!(qr.as_ref().unwrap().value, "a_value");

The schema output from the loop is (details subject to change based on internals):

CREATE TABLE IF NOT EXISTS "kv_store" (id integer primary key,"key" text,"value" text);
CREATE UNIQUE INDEX "kv_store_index" ON "kv_store" ("key");