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Full-text search index

A full-text search index is a specialized index structure that organizes textual content to support efficient keyword-based searching across text fields.

How 3 Manning books explain it

Grokking Relational Database Design

A full-text index is a specialized database index that supports efficient searching within larger text values.

How it is used
Optimizes keyword searches over larger text values in database applications.
How deep it goes
Defines the purpose and SQL workflow, but does not explain the internal search structure or ranking algorithm.
Examples
Uses product-name keyword searches, movie-title searches, and exact-match contrasts with review codes and payment-method emails.
What you can do after
Apply it via SQL by creating a full-text index and querying indexed text with MATCH and AGAINST.

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MongoDB 8.0 in Action, Third Edition

A text index is an index that supports text-search queries over string fields.

How it is used
Supports keyword searches over indexed string fields when applications need relevance-aware retrieval.
How deep it goes
Explains creation, query syntax, scoring, language behavior, and limitations without detailing index internals.
Examples
Uses movie titles and plots, the terms “Zone drinks,” relevance scores, and exclusion with “-Zone drinks.”
What you can do after
Apply it via mongosh by creating a multi-field text index and sorting $text results with textScore.

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Cloud Observability in Action

Full-text indexing is the creation of a searchable index over the textual content of documents or log records.

How it is used
Supports broad searches across log text during observability work.
How deep it goes
Defines the approach, contrasts it with label indexing, and identifies scalability and cost limits without detailing index internals.
Examples
Uses Elasticsearch and OpenSearch as full-text systems and Grafana Loki as a label-indexed contrast.
What you can do after
Evaluate full-text and label-based indexing choices against search breadth, scalability, storage cost, and retention needs.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.