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In my work, I often used B-tree indexes to speed up searches on fields with a large number of unique values, such as identifiers or dates.

The B-tree index is suitable for comparison operations, sorting, and range queries. For example, if I have an orders table and frequently query by order date, an index on the order_date field significantly speeds up retrieval.

Example of creating an index in PostgreSQL:

CREATE INDEX idx_order_date ON orders(order_date);

In Go, working with the database via ORM or drivers, indexes are created at the database level, and it is important to use queries correctly so that the database can apply these indexes.