Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country id, 0, country iso code, 0, country name, 1, department id, 1, department name, 2, gender id, 2, gender, 3, genre id, 3, genre_name, 4, keyword id, 4, keyword name, 5, language id, 5, language code, 5, language name, 6, role id, 6, language role, 7, movie id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote average, 7, vote count, 8, movie id, 8, genre id, 9, movie id, 9, language id, 9, language role id, 10, person id, 10, person name, 11, movie id, 11, person id, 11, department id, 11, job, 12, company id, 12, company name, 13, mivie id, 13, country id, 14, movie id, 14, person id, 14, character name, 14, gender id, 14, cast order, 15, movie id, 15, keyword id, 16, movie id, 16, company id
Column types: text, integer, text, text, integer, text, integer, text, integer, text, integer, text, integer, text, text, integer, text, integer, text, integer, text, text, real, date, integer, integer, text, text, real, integer, integer, integer, integer, integer, integer, integer, text, integer, integer, integer, text, integer, text, integer, integer, integer, integer, text, integer, integer, integer, integer, integer, integer