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Mahina Sheikh
Mahina Sheikh

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Text Search in PostgreSQL

Full Text Searching (FTS) in PostgreSQL revolutionizes document retrieval. FTS identifies relevant documents based on queries and ranks them by relevance.

Key Limitations

  • No linguistic support for derived words, leading to missed matches.
  • No effective ranking, making it sluggish for numerous matches.
  • Slower performance due to lacking index support.

FTS Solution

  • Preprocesses documents for indexing efficiency.
  • Parses documents into tokens, converts to normalized lexemes.
  • Employs dictionaries for stop words, synonyms, and mapping.
  • Utilizes tsvector for preprocessed documents and tsquery for queries.
  • Core @@ operator for FTS matches.

Advantages

  • Efficiently handles diverse queries and linguistic variations.
  • Enables ranking and relevance-based ordering.
  • Accelerates searches through indexing.
  • Customizable configurations for parsing and normalization.

In PostgreSQL, FTS empowers accurate, efficient, and dynamic text searches, enhancing database capabilities.

Reference

text search

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