How can I optimize my Flask SQLAlchemy queries with indexing?

How can I optimize my Flask SQLAlchemy queries with indexing?

You can optimize your queries by creating indexes on the columns that are frequently used in filters and joins. This speeds up data retrieval.

What are the steps to create an index in Flask SQLAlchemy?

To create an index, you can use the Index class from SQLAlchemy. For example, you can define it in your model like this: __table_args__ = (Index('my_index', 'column_name'),).

Are there any performance trade-offs with indexing?

Yes, while indexing speeds up read operations, it can slow down write operations since the index needs to be updated. It's important to find a balance.

Can I index multiple columns?

Absolutely! You can create a composite index by passing multiple column names to the Index class, like this: Index('my_index', 'column1', 'column2').