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Data & Analytics•April 20, 2024•10 min read

Elasticsearch: Building Powerful Search Experiences

Elasticsearch enables sophisticated search with relevance scoring, facets, and suggestions.

#elasticsearch#search#full-text#database

Elasticsearch powers search for countless applications. Full-text search with relevance scoring finds the best matches. Aggregations enable faceted navigation. Suggesters provide autocomplete and spell correction.

Index Design

Define mappings specifying field types and analyzers. Choose analyzers matching your language and use case. Configure shards and replicas for scale and availability. Plan for index lifecycle management.

  • Define explicit mappings rather than relying on dynamic mapping
  • Choose appropriate analyzers for search fields
  • Use keyword type for exact match fields like IDs
  • Configure synonyms for improved search recall
  • Implement search-as-you-type for autocomplete

Query Techniques

Combine match queries for relevance with filters for constraints. Use bool queries composing multiple conditions. Boost important fields for better ranking. Implement highlighting showing matched terms.

Tags

elasticsearchsearchfull-textdatabaserelevance