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William Rodriguez
William Rodriguez

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Asynchronous SQLite: High-throughput async/await CRUD operations.

Blocking your FastAPI event loop with synchronous database queries kills web concurrency. wsqlite gives you full async/await support with dedicated connection pooling right out of the box.

Here is how you use Async CRUD Operations & Async Connection Pool in production with wsqlite:

import asyncio
from pydantic import BaseModel
from wsqlite import WSQLite

class Task(BaseModel):
    id: int
    title: str
    completed: bool = False

db = WSQLite(Task, "tasks.db")

async def main():
    # Insert asynchronously
    await db.insert_async(Task(id=1, title="Deploy microservice"))

    # Read asynchronously without blocking event loop
    tasks = await db.get_all_async()
    print(f"Pending tasks: {len(tasks)}")

asyncio.run(main())
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Why developers love wsqlite:

  • Define database tables using standard Pydantic v2 models.
  • Auto-syncs columns on startup without writing manual migrations.
  • Thread-safe connection pooling with WAL mode enabled by default (5,000+ inserts/sec).
  • Full sync and async/await support.

Check out the repo on GitHub!

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