Senior
What criteria will you use to decide which indexes to add to a large, actively used table?
sobes.tech AI
Answer from AI
When choosing indexes for a large actively used table, I consider the following criteria:
- Query analysis: I look at which fields are most frequently used in WHERE, JOIN, ORDER BY, and GROUP BY conditions.
- Column cardinality: indexes are more effective on columns with high uniqueness of values.
- Query types: B-Tree indexes are suitable for range searches, while special index types are used for full-text search.
- Performance profiling: I use EXPLAIN and profilers to understand which queries are slow.
- Balance between read and write: indexes speed up reading but slow down inserts and updates, so not everything should be indexed.
For example, if a query like
SELECT * FROM orders WHERE customer_id = ? AND order_date > ?;
is frequently executed, it makes sense to create a composite index on (customer_id, order_date).
It is also important to periodically review indexes, as the load and query patterns can change.