MongoDB Query Builder Cookbook¶
Welcome to the MongoDB Query Builder Cookbook! This section contains practical, real-world examples and patterns for common use cases.
Available Recipes¶
🔐 Authentication Patterns¶
Learn how to implement secure user authentication patterns with MongoDB Query Builder, including: - User registration and login - Password hashing and verification - Session management - Role-based access control
🛍️ Product Catalog Search¶
Build powerful e-commerce search functionality: - Full-text search with Atlas Search - Faceted search and filtering - Product recommendations - Inventory management queries
📊 Analytics Pipelines¶
Create sophisticated analytics pipelines: - Sales analytics and reporting - User behavior analysis - Real-time dashboards - Data aggregation patterns
⏰ Time Series Data¶
Handle time-series data effectively: - IoT sensor data processing - Financial data analysis - Log aggregation - Performance metrics
How to Use This Cookbook¶
Each recipe in this cookbook includes:
- Problem Statement - What we're trying to solve
- Solution Overview - High-level approach
- Implementation - Complete code examples
- Explanation - Detailed walkthrough
- Variations - Alternative approaches
- Performance Tips - Optimization suggestions
Quick Example¶
Here's a taste of what you'll find in the cookbook:
from mongodb_query_builder import AggregateBuilder
# Calculate daily sales with running totals
pipeline = (
AggregateBuilder()
.match({"status": "completed"})
.group({
"_id": {
"year": {"$year": "$created_at"},
"month": {"$month": "$created_at"},
"day": {"$dayOfMonth": "$created_at"}
},
"daily_sales": {"$sum": "$total"},
"order_count": {"$sum": 1}
})
.sort({"_id.year": 1, "_id.month": 1, "_id.day": 1})
.set_window_fields(
sort_by="_id",
output={
"running_total": {
"$sum": "$daily_sales",
"window": {
"documents": ["unbounded", "current"]
}
}
}
)
.build()
)
Contributing Recipes¶
Have a great pattern or solution? We'd love to include it! Please:
- Follow the recipe format used in existing examples
- Include complete, working code
- Add performance considerations
- Submit a pull request
Need Help?¶
- Check the API Reference for detailed method documentation
- Read the User Guide for comprehensive tutorials
- Join our community discussions