Advanced Queries

Learn the fundamentals of advanced queries in FastAPI.

🎯 Core Concept

Advanced query techniques include range filtering, date filtering, complex combinations, and pattern matching. They enable sophisticated data retrieval and filtering capabilities.

📖 What You'll Learn

In this section, you'll understand:

• Range and comparison filters

• Date/time range queries

• Text search patterns

• Combining multiple filters

• Complex filtering logic

💡 Range Filtering Example

from typing import Optional
from fastapi import FastAPI, Query

app = FastAPI()

@app.get("/products")
async def search_products(
    min_price: Optional[float] = Query(None, ge=0),
    max_price: Optional[float] = Query(None),
    category: Optional[str] = None,
    in_stock: Optional[bool] = True
):
    # GET /products?min_price=10&max_price=100&category=electronics
    filters = {}
    if min_price:
        filters["min_price"] = min_price
    if max_price:
        filters["max_price"] = max_price
    if category:
        filters["category"] = category

    # Query database with filters
    return {"filters": filters}

Real-World Usage

Advanced queries are essential for:

• **E-commerce**: Price range, category, ratings

• **Analytics**: Date range, metric filtering

• **Search**: Full-text search, pattern matching

• **APIs**: Complex data retrieval

🔑 Key Takeaways

• ✅ Understand the purpose of advanced queries

• ✅ Know when to apply this pattern

• ✅ Recognize its benefits in real-world scenarios

• ✅ Be prepared to use it in your projects

Ready to explore more? Check out the advanced section for production patterns and edge cases.