Complete the code to create a GIN index on the column 'content' for full-text search.
CREATE INDEX idx_content_gin ON documents USING [1] (to_tsvector('english', content));
The GIN index type is used for full-text search in PostgreSQL because it efficiently indexes composite values like tsvector.
Complete the code to convert the 'description' column to a tsvector for indexing.
SELECT to_tsvector([1], description) FROM products;The 'english' configuration is commonly used for English text to handle stemming and stop words.
Fix the error in the query to search for the word 'database' in the 'content' column using full-text search.
SELECT * FROM documents WHERE to_tsvector('english', content) @@ [1]('database');
plainto_tsquery converts plain text to a tsquery, suitable for simple search terms like 'database'.
Fill both blanks to create a GIN index on the 'text' column using the 'simple' dictionary.
CREATE INDEX idx_text_gin ON articles USING [1] (to_tsvector([2], text));
GIN is the correct index type and 'simple' is the dictionary used for tokenizing text without language rules.
Fill all three blanks to select rows where 'summary' matches the search term 'performance' using full-text search.
SELECT * FROM reports WHERE to_tsvector([1], summary) @@ [2]([3]);
The 'english' dictionary is used for parsing, plainto_tsquery converts the search term to a query, and 'performance' is the search word.