PostgreSQL Enterprise & Performance
5-8 Years (Senior)
Hard
Production Scenario
How do GIN (Generalized Inverted Index) and GiST indexes optimize high-speed JSONB queries and Full-Text Search in PostgreSQL?
Real-World Scenario / Incident Description
Searching for arbitrary keys and nested tags inside a 20-million-row JSONB column was taking 6.8 seconds per query.
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Updated 1 month ago
GIN with jsonb_path_ops
Standard GIN indexes every key and value. For direct JSON path containment queries (@>), jsonb_path_ops produces an index that is 3x smaller and faster:
CREATE INDEX idx_user_metadata_gin ON users USING GIN (metadata jsonb_path_ops);
-- Optimized query uses GIN index seek
SELECT * FROM users
WHERE metadata @> '{"subscription": {"plan": "enterprise", "status": "active"}}';
Execution time drops from 6.8s to 1.2ms.
Related Concepts:
#PostgreSQL
#JSONB
#GIN Index
#jsonb_path_ops
#Full Text Search
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