mongodb

Async MongoDB queries with Motor use AsyncIOMotorClient to execute non-blocking CRUD operations. You install Motor, create the client connection, and await query methods to prevent blocking the event loop during database interactions.

Multi-document transactions are fully supported with async Motor operations. You can start a session, execute transaction operations, and commit or abort changes asynchronously to maintain atomicity across multiple document updates in MongoDB.

Creating indexes and designing aggregation pipelines asynchronously involves awaiting Motor collection methods. You call create_index for optimized queries and run aggregate with pipeline stages to transform and filter data without blocking.

Change streams in async MongoDB applications work by listening to collection changes asynchronously. Motor allows you to watch for insert, update, and delete events, enabling real-time data updates without polling the database continuously.

The adk.state pattern provides per-task state integration for Agentex workloads using Motor. It manages isolated database states per task, ensuring concurrent asynchronous operations maintain separate contexts and avoid state collisions.

Motor supports non-blocking data access designed for high-concurrency Python applications. By leveraging asyncio, it handles multiple simultaneous MongoDB operations efficiently, preventing event loop blocking during database queries and transactions.