Key Features of Change Streams

How Change Streams Work

Change Streams leverage MongoDB’s oplog (operations log) to track changes. The oplog is a special capped collection that records all write operations. Change Streams listen to this oplog and provide a continuous, cursor-based stream of changes....

Key Features of Change Streams

Real-Time Notifications: Get real-time notifications on data changes (insert, update, delete, and replace operations).Resume Tokens: Resume from a specific point in time using resume tokens, ensuring no data loss even if the stream is interrupted.Filtering: Apply filters to only receive notifications for specific changes....

Enabling Change Streams

Change Streams are available in MongoDB 3.6 and later, and require a replica set or a sharded cluster. Here’s how to enable and use them:...

Filtering Change Streams

You can filter Change Streams to only listen to specific changes:...

Resume Change Streams

To resume a Change Stream from a specific point, use the resume token:...

Practical Use Cases

Real-Time Analytics: Monitor real-time data changes for analytics dashboards.Event-Driven Architectures: Trigger actions in response to database changes, such as updating caches, sending notifications, or executing business logic.Audit Logging: Track and log changes for auditing purposes....

Conclusion

Change Streams provide a robust and efficient way to monitor real-time changes in MongoDB. By leveraging the oplog, they offer low-latency, scalable, and resumable data streams that are ideal for a wide range of applications, from real-time analytics to event-driven systems. Understanding and utilizing Change Streams can significantly enhance the capabilities of your MongoDB-based applications....