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Can PostgreSQL Be a Search Engine? Yes, You Might Not Need Elasticsearch

  • Inverted index is crucial for search engines and allows for efficient operations like database searching and deletion compared to the forward index.
  • Forward index records word positions in documents based on document IDs, leading to low retrieval efficiency due to scanning all documents for queries.
  • Inverted index organizes documents based on words or terms, enabling faster retrieval by indexing all documents where a word appears.
  • PostgreSQL's GIN (Generalized Inverted Index) index structure includes entry tree, posting list, posting tree, and pending list for efficient retrieval.
  • GIN index enhances full-text search efficiency by indexing composite types and elements, making it suitable for queries in PostgreSQL.
  • Updating data in GIN index can be slow due to multiple word elements, but 'fastupdate' parameter helps in accumulating updates for efficient indexing.
  • GIN index supports partial match search, frequency analysis of keywords, limiting query results, and compression for efficient storage and retrieval.
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