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GIN (Generalized Inverted Index) indexes can efficiently handle both JSONB data types and full-text search. Key features are as follows:
Supports LIKE searches and operates using key-value pair queries
Works with JSONB to enable flexible, updateable schemas - tables can change structure while maintaining queryability
Can be combined with B-Tree indexes for hybrid querying capabilities
We will use one multi-column GIN index rather than multiple separate indexes. One reason why is that when updating data (e.g, adding columns and rows), PostgreSQL only needs to update one index.
GIN (Generalized Inverted Index) indexes can efficiently handle both JSONB data types and full-text search. Key features are as follows:
We will use one multi-column GIN index rather than multiple separate indexes. One reason why is that when updating data (e.g, adding columns and rows), PostgreSQL only needs to update one index.
Relevant reference: https://anyblockers.com/posts/postgres-as-a-search-engine
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