What are some effective indexing techniques in SQLAlchemy?

What are some effective indexing techniques in SQLAlchemy?

In SQLAlchemy, effective indexing techniques include using primary keys, unique indexes, and composite indexes. Would you like to know more about any specific technique?

Can you explain how composite indexes work?

Composite indexes are indexes that involve multiple columns. They can significantly improve query performance when filtering or sorting by those columns together. For example, if you frequently query by both 'first_name' and 'last_name', a composite index on both can speed up those queries.

Are there any downsides to using too many indexes?

Yes, while indexes can speed up read operations, they can slow down write operations like inserts and updates. Each time a record is modified, the indexes must also be updated, which can lead to performance issues.

How can I determine which indexes to create?

You can analyze your query patterns and use tools like SQLAlchemy's query profiling to identify slow queries. Focus on indexing columns that are frequently used in WHERE clauses or as join keys.