Full Text Search

Full-Text Search Cheat Sheet

Covers building full-text search with database-native features like Postgres tsvector and dedicated engines like Elasticsearch, including ranking and indexing.

How Does Full-Text Search Work in Relational Databases?

Full-text search in a relational database uses a dedicated inverted-index structure that maps normalized words to the rows containing them, letting the engine…

Elasticsearch vs Built-In Database Full-Text Search: When to Use Which?

Use your relational database’s built-in full-text search when search is a secondary feature on data that already lives there and needs to stay transactionally…

How Do Trigram Indexes Enable Fuzzy Search in SQL?

A trigram index breaks every string into overlapping three-character sequences and indexes those fragments, letting the database find approximate or misspelled…

How Do You Design a Full-Text Search System?

A full-text search system is built around an inverted index — a mapping from each normalized term to the list of documents (and positions) containing it — popu…

What is the ELK Stack and How Do Its Components Work Together?

The ELK Stack is a set of three open-source tools — Elasticsearch, Logstash, and Kibana — that together ingest, parse, index, and visualize log data, letting t…