FastAPI - Database IntegrationHow 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 insteadCUse an async for loop to iterate over the cursorDCall find_one repeatedly in a loopCheck Answer
Step-by-Step SolutionSolution:Step 1: Understand cursor iterationMotor returns an async cursor that supports async iteration to fetch documents in batches.Step 2: Evaluate options for large dataUsing async for loop avoids loading all data at once, unlike to_list with huge length or repeated find_one calls.Final Answer:Use an async for loop to iterate over the cursor -> Option CQuick Check:Async for loop = efficient large data retrieval [OK]Quick Trick: Use async for to iterate large Motor cursors [OK]Common Mistakes:MISTAKESLoading all documents at once with to_listUsing synchronous clients in async codeCalling find_one repeatedly instead of cursor
Master "Database Integration" in FastAPI9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallPerf
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