Senior
What indexes do you know and which ones have you used?
sobes.tech AI
Answer from AI
Main types of indexes I have worked with:
- B-Tree index — the most common, suitable for fast equality and range searches.
- Hash index — efficient for exact key lookups, but does not support range queries.
- Composite (multi-column) index — an index on multiple columns, speeds up complex queries filtering by several fields.
- Full-text index — for text searches, e.g., in PostgreSQL or MySQL.
- GIN/GiST indexes — specialized indexes for working with arrays, JSONB, and geospatial data (PostgreSQL).
In projects with Go, where I worked with databases, I most often used B-Tree and composite indexes to optimize queries. For example, in PostgreSQL, I created a composite index to speed up filtering by multiple columns:
CREATE INDEX idx_user_status_date ON users (status, created_at);
This significantly reduced query execution time with conditions on status and date.