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email-tracker/external/duckdb/benchmark/imdb_plan_cost/queries/33b.sql
2025-10-24 19:21:19 -05:00

49 lines
1.4 KiB
SQL

SELECT MIN(cn1.name) AS first_company,
MIN(cn2.name) AS second_company,
MIN(mi_idx1.info) AS first_rating,
MIN(mi_idx2.info) AS second_rating,
MIN(t1.title) AS first_movie,
MIN(t2.title) AS second_movie
FROM company_name AS cn1,
company_name AS cn2,
info_type AS it1,
info_type AS it2,
kind_type AS kt1,
kind_type AS kt2,
link_type AS lt,
movie_companies AS mc1,
movie_companies AS mc2,
movie_info_idx AS mi_idx1,
movie_info_idx AS mi_idx2,
movie_link AS ml,
title AS t1,
title AS t2
WHERE cn1.country_code = '[nl]'
AND it1.info = 'rating'
AND it2.info = 'rating'
AND kt1.kind IN ('tv series')
AND kt2.kind IN ('tv series')
AND lt.link LIKE '%follow%'
AND mi_idx2.info < '3.0'
AND t2.production_year = 2007
AND lt.id = ml.link_type_id
AND t1.id = ml.movie_id
AND t2.id = ml.linked_movie_id
AND it1.id = mi_idx1.info_type_id
AND t1.id = mi_idx1.movie_id
AND kt1.id = t1.kind_id
AND cn1.id = mc1.company_id
AND t1.id = mc1.movie_id
AND ml.movie_id = mi_idx1.movie_id
AND ml.movie_id = mc1.movie_id
AND mi_idx1.movie_id = mc1.movie_id
AND it2.id = mi_idx2.info_type_id
AND t2.id = mi_idx2.movie_id
AND kt2.id = t2.kind_id
AND cn2.id = mc2.company_id
AND t2.id = mc2.movie_id
AND ml.linked_movie_id = mi_idx2.movie_id
AND ml.linked_movie_id = mc2.movie_id
AND mi_idx2.movie_id = mc2.movie_id;