Solution:Step 1: Understand joinedload usagejoinedload(User.posts) tells SQLAlchemy to load related posts with users in one query using SQL JOIN.Step 2: Analyze other optionsIt does not filter users, delay loading, or limit posts count.Final Answer:It loads all posts related to each user in the same

[Solved] Given the code:users = User.query.options(joinedload(User.posts)).filter(User.active == True).all()What is the effect of joinedload(User.posts) here? | Flask

Flask - Performance Optimization

Given the code:

users = User.query.options(joinedload(User.posts)).filter(User.active == True).all()

What is the effect of joinedload(User.posts) here?

AIt limits the number of posts loaded per user

BIt filters users who have posts

CIt delays loading posts until accessed

DIt loads all posts related to each user in the same query

Step-by-Step Solution

Solution:

Step 1: Understand joinedload usage
joinedload(User.posts) tells SQLAlchemy to load related posts with users in one query using SQL JOIN.
Step 2: Analyze other options
It does not filter users, delay loading, or limit posts count.
Final Answer:
It loads all posts related to each user in the same query -> Option D
Quick Check:
joinedload eager loads related data = A [OK]

Quick Trick: joinedload fetches related data immediately in one query [OK]

Common Mistakes:

MISTAKES

Thinking joinedload filters data
Confusing joinedload with lazy loading
Assuming it limits related records

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Given the code:

Step 1: Understand joinedload usage

Step 2: Analyze other options

Final Answer:

Quick Check:

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