Advanced Index Strategy

Relax. We'll talk through this in plain words — no textbook voice.

What you'll walk away with

Explain the core ideas behind Advanced Index Strategy
Run the sample SQL or command and verify its output
Apply the technique to the Tutorial Platform and production scenarios

Build the mental model

B-tree is the default for equality, ranges, and ordering. GIN commonly supports multi-valued data, JSONB, and text search. GiST suits ranges and geometric operator classes, while BRIN can help very large tables correlated with physical order. Expression and `INCLUDE` columns can help queries but add write cost.

Connect it to a real scenario

Use an expression index on `lower(email)` for case-insensitive lookup and a covering index for the published catalog. Review usage statistics over a representative workload before declaring an index duplicate or unused.

Match index type to operators
Expression queries may need expression indexes
Validate usefulness against a real workload

Try the working example

sql

CREATE UNIQUE INDEX users_email_lower_uidx
  ON app.users (lower(email));

CREATE INDEX tutorials_catalog_cover_idx
  ON app.tutorials (published_at DESC, tutorial_id DESC)
  INCLUDE (title, slug)
  WHERE is_published = true;

SELECT relname, indexrelname, idx_scan
FROM pg_stat_user_indexes
WHERE schemaname = 'app';

You should see

You have case-insensitive uniqueness and a covering catalog index.

5-minute try-it

Choose index types for JSONB tag containment, an event-date range, and a huge append-only log.

One important caution

Do not drop an index immediately because `idx_scan = 0`; check statistics resets, rare critical queries, and replica workloads.

PostgreSQL — Index Types — PostgreSQL Global Development Group

Easy traps

Do not drop an index immediately because `idx_scan = 0`; check statistics resets, rare critical queries, and replica workloads.
Validate sample code on a local or test database with recoverable backups before applying it to production data.

Exercise

Choose index types for JSONB tag containment, an event-date range, and a huge append-only log.

You'll know it worked when: You have case-insensitive uniqueness and a covering catalog index.