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How can you efficiently retrieve all documents from a large MongoDB collection using Motor without loading all at once in FastAPI?

hard🚀 Application Q9 of 15
FastAPI - Database Integration
How can you efficiently retrieve all documents from a large MongoDB collection using Motor without loading all at once in FastAPI?
ACall await db.collection.find().to_list(length=1000000)
BUse synchronous pymongo client instead
CUse an async for loop to iterate over the cursor
DCall find_one repeatedly in a loop
Step-by-Step Solution
Solution:
  1. Step 1: Understand cursor iteration

    Motor returns an async cursor that supports async iteration to fetch documents in batches.
  2. Step 2: Evaluate options for large data

    Using async for loop avoids loading all data at once, unlike to_list with huge length or repeated find_one calls.
  3. Final Answer:

    Use an async for loop to iterate over the cursor -> Option C
  4. Quick Check:

    Async for loop = efficient large data retrieval [OK]
Quick Trick: Use async for to iterate large Motor cursors [OK]
Common Mistakes:
MISTAKES
  • Loading all documents at once with to_list
  • Using synchronous clients in async code
  • Calling find_one repeatedly instead of cursor

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