What are some optimization techniques for Flask-SQLAlchemy?
An example of an AI chatbot conversation about optimization techniques in Flask-SQLAlchemy.
What are some optimization techniques for Flask-SQLAlchemy?
There are several techniques to optimize Flask-SQLAlchemy, such as using eager loading, optimizing queries, and indexing.
Can you explain eager loading and how it helps?
Eager loading retrieves related objects in a single query, reducing the number of database hits and improving performance.
What about query optimization? Any specific tips?
Yes, you can optimize queries by using filters effectively, avoiding N+1 queries, and selecting only necessary columns.
How important is indexing in this context?
Indexing is crucial as it speeds up data retrieval operations, especially for large datasets, making your queries more efficient.
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