MongoDB Change Streams for Real-Time Data
Beginnerv1.0.0
Implement MongoDB change streams to react to data changes in real time — watch collections, filter events, resume after failures, and build event-driven architectures.
Content
Overview
Change streams let your application subscribe to real-time data changes in MongoDB. Instead of polling for updates, your code receives a push notification whenever documents are inserted, updated, deleted, or replaced. Built on the oplog, they work with replica sets and sharded clusters.
Why This Matters
- -Eliminates polling — instant notification of data changes
- -Enables event-driven architectures (CQRS, event sourcing)
- -Resumable after application restart — no missed events
- -Works across replica sets and sharded clusters
Implementation
Step 1: Basic Change Stream
Step 2: Filter Specific Events
Step 3: Resume After Failure
Step 4: Watch Entire Database or Cluster
Best Practices
- -Always persist resume tokens to survive application restarts
- -Use pipeline filters to reduce network traffic — watch only what you need
- -Set maxAwaitTimeMS to control how long the server waits before returning empty batches
- -Handle the "invalidate" event — it means the collection was dropped or renamed
- -Use fullDocument: "updateLookup" for updates (otherwise you only get changed fields)
- -Process changes idempotently — you may receive duplicates after resume
Common Mistakes
- -Not persisting resume tokens (miss events after restart)
- -Watching without filters (processing every change in the collection)
- -Not handling errors and reconnecting (change stream dies silently)
- -Assuming exactly-once delivery (it is at-least-once)
- -Using change streams without a replica set (they require oplog)
FAQ
Discussion
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