msqlite 0.5.0

Execute simple SQLite statements that are multithreaded/multiprocess safe

msqlite

Multi-threaded/multi-process support on top of SQLite. The intent is to ensure a SQL statement will get executed, even if other threads or processes are trying to access the DB. Avoids database is locked issues.

No additional package dependencies beyond regular Python.

Intended for relatively simple SQL statement execution. Locks the DB file on every access, with built-in retry mechanism.

Even though the DB is locked on every access, typically simple writes are much less than 1 second (more like 1 mS), so this latency is still usable for many use cases.

    table_name = "example"
    schema = {"id PRIMARY KEY": int, "name": str, "color": str, "year": int}
    db_path = Path("temp", "example.sqlite")
    db_path.parent.mkdir(exist_ok=True)

    # Write and read data.
    with MSQLite(db_path, table_name, schema) as db:
        now = time.monotonic_ns()  # some index value
        # insert some data
        db.execute(f"INSERT INTO {table_name} VALUES ({now}, 'plate', 'red', 2020), ({now + 1}, 'chair', 'green', 2019)")
        # read the data back out
        response = db.execute(f"SELECT * FROM {table_name}")
        for row in response:
            print(row)

    # Read data out. No longer needs the schema.
    with MSQLite(db_path, table_name) as db:
        response = db.execute(f"SELECT * FROM {table_name}")
        for row in response:
            print(row)