Sobes.tech
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.