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What is the function to tsquery in PostgreSQL?
PostgreSQL provides the functions to_tsquery and plainto_tsquery for converting a query to the tsquery data type. to_tsquery offers access to more features than plainto_tsquery, but is less forgiving about its input.
How to do full text search in PostgreSQL?
To implement full text searching there must be a function to create a tsvector from a document and a tsquery from a user query. Also, we need to return results in a useful order, so we need a function that compares documents with respect to their relevance to the query.
What’s the difference between to and to tsquery?
The difference is that while basic tsquery input takes the tokens at face value, to_tsquery normalizes each token into a lexeme using the specified or default configuration, and discards any tokens that are stop words according to the configuration. For example:
Can a lexeme match a string in PostgreSQL?
Such a lexeme will match any word in a tsvector that begins with the given string. to_tsquery can also accept single-quoted phrases. This is primarily useful when the configuration includes a thesaurus dictionary that may trigger on such phrases.
Why are my PostgreSQL queries so slow?
Slow queries mean that the application feels unresponsive and slow and this results in bad conversion rates, unhappy users, and all sets of problems. OLTP is one of the common use cases for PostgreSQL therefore you want your queries to run as smooth as possible.
How to set weights on a Postgres tsvector column?
– Database Administrators Stack Exchange How to set weights on a Postgres TSVECTOR column? Currently, I’m using Postgres 9.3.5 for full-text search but I don’t want to set weight or convert to tsvector on the fly (a lot of articles suggest that, and that just seems like a terrible idea to me).
How to control text search in PostgreSQL documentation?
Controlling Text Search To implement full text searching there must be a function to create a tsvector from a document and a tsquery from a user query. Also, we need to return results in a useful order, so we need a function that compares documents with respect to their relevance to the query.