Change Stream Pipelines for Filtering in MongoDB
📖 Scenario: You are managing a MongoDB database for a small online bookstore. You want to monitor changes to the orders collection, but only for orders where the status is "shipped". This helps you react quickly to shipped orders without processing all changes.
🎯 Goal: Build a MongoDB change stream pipeline that filters change events to only include those where the status field in the fullDocument is "shipped".
📋 What You'll Learn
Create a change stream pipeline array called
pipeline with a match stage filtering fullDocument.status equal to "shipped".Create a variable called
changeStream that watches the orders collection using the pipeline.Use the
watch method with the pipeline to filter change events.Add a final option to the
watch method to include the full document in the change event.💡 Why This Matters
🌍 Real World
Filtering change streams is useful in real-time applications like order tracking, notifications, and syncing data where only specific changes matter.
💼 Career
Understanding change stream pipelines is important for backend developers and database administrators working with MongoDB to build efficient, reactive systems.
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