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should be it

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Mars Ultor
2025-10-24 19:21:19 -05:00
parent a4b23fc57c
commit f09560c7b1
14047 changed files with 3161551 additions and 1 deletions
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21
external/duckdb/benchmark/imdb_plan_cost/init/load.sql vendored Normal file
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INSERT INTO aka_name SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_aka_name.parquet';
INSERT INTO aka_title SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_aka_title.parquet';
INSERT INTO cast_info SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_cast_info.parquet';
INSERT INTO char_name SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_char_name.parquet';
INSERT INTO comp_cast_type SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_comp_cast_type.parquet';
INSERT INTO company_name SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_company_name.parquet';
INSERT INTO company_type SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_company_type.parquet';
INSERT INTO complete_cast SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_complete_cast.parquet';
INSERT INTO info_type SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_info_type.parquet';
INSERT INTO keyword SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_keyword.parquet';
INSERT INTO kind_type SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_kind_type.parquet';
INSERT INTO link_type SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_link_type.parquet';
INSERT INTO movie_companies SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_movie_companies.parquet';
INSERT INTO movie_info SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_movie_info.parquet';
INSERT INTO movie_info_idx SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_movie_info_idx.parquet';
INSERT INTO movie_keyword SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_movie_keyword.parquet';
INSERT INTO movie_link SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_movie_link.parquet';
INSERT INTO name SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_name.parquet';
INSERT INTO person_info SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_person_info.parquet';
INSERT INTO role_type SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_role_type.parquet';
INSERT INTO title SELECT * FROM 'https://github.com/duckdb/duckdb-data/releases/download/v1.0/job_title.parquet';

170
external/duckdb/benchmark/imdb_plan_cost/init/schema.sql vendored Normal file
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CREATE TABLE aka_name (
id integer NOT NULL,
person_id integer NOT NULL,
name character varying(218) NOT NULL,
imdb_index character varying(12),
name_pcode_cf character varying(5),
name_pcode_nf character varying(5),
surname_pcode character varying(5),
md5sum character varying(32)
);
CREATE TABLE aka_title (
id integer NOT NULL,
movie_id integer NOT NULL,
title character varying(553) NOT NULL,
imdb_index character varying(12),
kind_id integer NOT NULL,
production_year integer,
phonetic_code character varying(5),
episode_of_id integer,
season_nr integer,
episode_nr integer,
note character varying(72),
md5sum character varying(32)
);
CREATE TABLE cast_info (
id integer NOT NULL,
person_id integer NOT NULL,
movie_id integer NOT NULL,
person_role_id integer,
note character varying(992),
nr_order integer,
role_id integer NOT NULL
);
CREATE TABLE char_name (
id integer NOT NULL,
name character varying(478) NOT NULL,
imdb_index character varying(12),
imdb_id integer,
name_pcode_nf character varying(5),
surname_pcode character varying(5),
md5sum character varying(32)
);
CREATE TABLE comp_cast_type (
id integer NOT NULL,
kind character varying(32) NOT NULL
);
CREATE TABLE company_name (
id integer NOT NULL,
name character varying(200) NOT NULL,
country_code character varying(255),
imdb_id integer,
name_pcode_nf character varying(5),
name_pcode_sf character varying(5),
md5sum character varying(32)
);
CREATE TABLE company_type (
id integer NOT NULL,
kind character varying(32) NOT NULL
);
CREATE TABLE complete_cast (
id integer NOT NULL,
movie_id integer,
subject_id integer NOT NULL,
status_id integer NOT NULL
);
CREATE TABLE info_type (
id integer NOT NULL,
info character varying(32) NOT NULL
);
CREATE TABLE keyword (
id integer NOT NULL,
keyword character varying(74) NOT NULL,
phonetic_code character varying(5)
);
CREATE TABLE kind_type (
id integer NOT NULL,
kind character varying(15) NOT NULL
);
CREATE TABLE link_type (
id integer NOT NULL,
link character varying(32) NOT NULL
);
CREATE TABLE movie_companies (
id integer NOT NULL,
movie_id integer NOT NULL,
company_id integer NOT NULL,
company_type_id integer NOT NULL,
note character varying(208)
);
CREATE TABLE movie_info (
id integer NOT NULL,
movie_id integer NOT NULL,
info_type_id integer NOT NULL,
info character varying(8000) NOT NULL,
note character varying(387)
);
CREATE TABLE movie_info_idx (
id integer NOT NULL,
movie_id integer NOT NULL,
info_type_id integer NOT NULL,
info character varying(10) NOT NULL,
note character varying(1)
);
CREATE TABLE movie_keyword (
id integer NOT NULL,
movie_id integer NOT NULL,
keyword_id integer NOT NULL
);
CREATE TABLE movie_link (
id integer NOT NULL,
movie_id integer NOT NULL,
linked_movie_id integer NOT NULL,
link_type_id integer NOT NULL
);
CREATE TABLE name (
id integer NOT NULL,
name character varying(106) NOT NULL,
imdb_index character varying(12),
imdb_id integer,
gender character varying(1),
name_pcode_cf character varying(5),
name_pcode_nf character varying(5),
surname_pcode character varying(5),
md5sum character varying(32)
);
CREATE TABLE person_info (
id integer NOT NULL,
person_id integer NOT NULL,
info_type_id integer NOT NULL,
info text NOT NULL,
note character varying(430)
);
CREATE TABLE role_type (
id integer NOT NULL,
role character varying(32) NOT NULL
);
CREATE TABLE title (
id integer NOT NULL,
title character varying(334) NOT NULL,
imdb_index character varying(12),
kind_id integer NOT NULL,
production_year integer,
imdb_id integer,
phonetic_code character varying(5),
episode_of_id integer,
season_nr integer,
episode_nr integer,
series_years character varying(49),
md5sum character varying(32)
);

19
external/duckdb/benchmark/imdb_plan_cost/queries/01a.sql vendored Normal file
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SELECT MIN(mc.note) AS production_note,
MIN(t.title) AS movie_title,
MIN(t.production_year) AS movie_year
FROM company_type AS ct,
info_type AS it,
movie_companies AS mc,
movie_info_idx AS mi_idx,
title AS t
WHERE ct.kind = 'production companies'
AND it.info = 'top 250 rank'
AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%'
AND (mc.note LIKE '%(co-production)%'
OR mc.note LIKE '%(presents)%')
AND ct.id = mc.company_type_id
AND t.id = mc.movie_id
AND t.id = mi_idx.movie_id
AND mc.movie_id = mi_idx.movie_id
AND it.id = mi_idx.info_type_id;

18
external/duckdb/benchmark/imdb_plan_cost/queries/01b.sql vendored Normal file
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SELECT MIN(mc.note) AS production_note,
MIN(t.title) AS movie_title,
MIN(t.production_year) AS movie_year
FROM company_type AS ct,
info_type AS it,
movie_companies AS mc,
movie_info_idx AS mi_idx,
title AS t
WHERE ct.kind = 'production companies'
AND it.info = 'bottom 10 rank'
AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%'
AND t.production_year BETWEEN 2005 AND 2010
AND ct.id = mc.company_type_id
AND t.id = mc.movie_id
AND t.id = mi_idx.movie_id
AND mc.movie_id = mi_idx.movie_id
AND it.id = mi_idx.info_type_id;

19
external/duckdb/benchmark/imdb_plan_cost/queries/01c.sql vendored Normal file
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SELECT MIN(mc.note) AS production_note,
MIN(t.title) AS movie_title,
MIN(t.production_year) AS movie_year
FROM company_type AS ct,
info_type AS it,
movie_companies AS mc,
movie_info_idx AS mi_idx,
title AS t
WHERE ct.kind = 'production companies'
AND it.info = 'top 250 rank'
AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%'
AND (mc.note LIKE '%(co-production)%')
AND t.production_year >2010
AND ct.id = mc.company_type_id
AND t.id = mc.movie_id
AND t.id = mi_idx.movie_id
AND mc.movie_id = mi_idx.movie_id
AND it.id = mi_idx.info_type_id;

18
external/duckdb/benchmark/imdb_plan_cost/queries/01d.sql vendored Normal file
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SELECT MIN(mc.note) AS production_note,
MIN(t.title) AS movie_title,
MIN(t.production_year) AS movie_year
FROM company_type AS ct,
info_type AS it,
movie_companies AS mc,
movie_info_idx AS mi_idx,
title AS t
WHERE ct.kind = 'production companies'
AND it.info = 'bottom 10 rank'
AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%'
AND t.production_year >2000
AND ct.id = mc.company_type_id
AND t.id = mc.movie_id
AND t.id = mi_idx.movie_id
AND mc.movie_id = mi_idx.movie_id
AND it.id = mi_idx.info_type_id;

14
external/duckdb/benchmark/imdb_plan_cost/queries/02a.sql vendored Normal file
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SELECT MIN(t.title) AS movie_title
FROM company_name AS cn,
keyword AS k,
movie_companies AS mc,
movie_keyword AS mk,
title AS t
WHERE cn.country_code ='[de]'
AND k.keyword ='character-name-in-title'
AND cn.id = mc.company_id
AND mc.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND mc.movie_id = mk.movie_id;

14
external/duckdb/benchmark/imdb_plan_cost/queries/02b.sql vendored Normal file
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@@ -0,0 +1,14 @@
SELECT MIN(t.title) AS movie_title
FROM company_name AS cn,
keyword AS k,
movie_companies AS mc,
movie_keyword AS mk,
title AS t
WHERE cn.country_code ='[nl]'
AND k.keyword ='character-name-in-title'
AND cn.id = mc.company_id
AND mc.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND mc.movie_id = mk.movie_id;

14
external/duckdb/benchmark/imdb_plan_cost/queries/02c.sql vendored Normal file
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@@ -0,0 +1,14 @@
SELECT MIN(t.title) AS movie_title
FROM company_name AS cn,
keyword AS k,
movie_companies AS mc,
movie_keyword AS mk,
title AS t
WHERE cn.country_code ='[sm]'
AND k.keyword ='character-name-in-title'
AND cn.id = mc.company_id
AND mc.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND mc.movie_id = mk.movie_id;

14
external/duckdb/benchmark/imdb_plan_cost/queries/02d.sql vendored Normal file
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@@ -0,0 +1,14 @@
SELECT MIN(t.title) AS movie_title
FROM company_name AS cn,
keyword AS k,
movie_companies AS mc,
movie_keyword AS mk,
title AS t
WHERE cn.country_code ='[us]'
AND k.keyword ='character-name-in-title'
AND cn.id = mc.company_id
AND mc.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND mc.movie_id = mk.movie_id;

20
external/duckdb/benchmark/imdb_plan_cost/queries/03a.sql vendored Normal file
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SELECT MIN(t.title) AS movie_title
FROM keyword AS k,
movie_info AS mi,
movie_keyword AS mk,
title AS t
WHERE k.keyword LIKE '%sequel%'
AND mi.info IN ('Sweden',
'Norway',
'Germany',
'Denmark',
'Swedish',
'Denish',
'Norwegian',
'German')
AND t.production_year > 2005
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND mk.movie_id = mi.movie_id
AND k.id = mk.keyword_id;

13
external/duckdb/benchmark/imdb_plan_cost/queries/03b.sql vendored Normal file
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SELECT MIN(t.title) AS movie_title
FROM keyword AS k,
movie_info AS mi,
movie_keyword AS mk,
title AS t
WHERE k.keyword LIKE '%sequel%'
AND mi.info IN ('Bulgaria')
AND t.production_year > 2010
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND mk.movie_id = mi.movie_id
AND k.id = mk.keyword_id;

22
external/duckdb/benchmark/imdb_plan_cost/queries/03c.sql vendored Normal file
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@@ -0,0 +1,22 @@
SELECT MIN(t.title) AS movie_title
FROM keyword AS k,
movie_info AS mi,
movie_keyword AS mk,
title AS t
WHERE k.keyword LIKE '%sequel%'
AND mi.info IN ('Sweden',
'Norway',
'Germany',
'Denmark',
'Swedish',
'Denish',
'Norwegian',
'German',
'USA',
'American')
AND t.production_year > 1990
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND mk.movie_id = mi.movie_id
AND k.id = mk.keyword_id;

17
external/duckdb/benchmark/imdb_plan_cost/queries/04a.sql vendored Normal file
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SELECT MIN(mi_idx.info) AS rating,
MIN(t.title) AS movie_title
FROM info_type AS it,
keyword AS k,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
title AS t
WHERE it.info ='rating'
AND k.keyword LIKE '%sequel%'
AND mi_idx.info > '5.0'
AND t.production_year > 2005
AND t.id = mi_idx.movie_id
AND t.id = mk.movie_id
AND mk.movie_id = mi_idx.movie_id
AND k.id = mk.keyword_id
AND it.id = mi_idx.info_type_id;

17
external/duckdb/benchmark/imdb_plan_cost/queries/04b.sql vendored Normal file
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@@ -0,0 +1,17 @@
SELECT MIN(mi_idx.info) AS rating,
MIN(t.title) AS movie_title
FROM info_type AS it,
keyword AS k,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
title AS t
WHERE it.info ='rating'
AND k.keyword LIKE '%sequel%'
AND mi_idx.info > '9.0'
AND t.production_year > 2010
AND t.id = mi_idx.movie_id
AND t.id = mk.movie_id
AND mk.movie_id = mi_idx.movie_id
AND k.id = mk.keyword_id
AND it.id = mi_idx.info_type_id;

17
external/duckdb/benchmark/imdb_plan_cost/queries/04c.sql vendored Normal file
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@@ -0,0 +1,17 @@
SELECT MIN(mi_idx.info) AS rating,
MIN(t.title) AS movie_title
FROM info_type AS it,
keyword AS k,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
title AS t
WHERE it.info ='rating'
AND k.keyword LIKE '%sequel%'
AND mi_idx.info > '2.0'
AND t.production_year > 1990
AND t.id = mi_idx.movie_id
AND t.id = mk.movie_id
AND mk.movie_id = mi_idx.movie_id
AND k.id = mk.keyword_id
AND it.id = mi_idx.info_type_id;

24
external/duckdb/benchmark/imdb_plan_cost/queries/05a.sql vendored Normal file
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SELECT MIN(t.title) AS typical_european_movie
FROM company_type AS ct,
info_type AS it,
movie_companies AS mc,
movie_info AS mi,
title AS t
WHERE ct.kind = 'production companies'
AND mc.note LIKE '%(theatrical)%'
AND mc.note LIKE '%(France)%'
AND mi.info IN ('Sweden',
'Norway',
'Germany',
'Denmark',
'Swedish',
'Denish',
'Norwegian',
'German')
AND t.production_year > 2005
AND t.id = mi.movie_id
AND t.id = mc.movie_id
AND mc.movie_id = mi.movie_id
AND ct.id = mc.company_type_id
AND it.id = mi.info_type_id;

19
external/duckdb/benchmark/imdb_plan_cost/queries/05b.sql vendored Normal file
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SELECT MIN(t.title) AS american_vhs_movie
FROM company_type AS ct,
info_type AS it,
movie_companies AS mc,
movie_info AS mi,
title AS t
WHERE ct.kind = 'production companies'
AND mc.note LIKE '%(VHS)%'
AND mc.note LIKE '%(USA)%'
AND mc.note LIKE '%(1994)%'
AND mi.info IN ('USA',
'America')
AND t.production_year > 2010
AND t.id = mi.movie_id
AND t.id = mc.movie_id
AND mc.movie_id = mi.movie_id
AND ct.id = mc.company_type_id
AND it.id = mi.info_type_id;

26
external/duckdb/benchmark/imdb_plan_cost/queries/05c.sql vendored Normal file
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@@ -0,0 +1,26 @@
SELECT MIN(t.title) AS american_movie
FROM company_type AS ct,
info_type AS it,
movie_companies AS mc,
movie_info AS mi,
title AS t
WHERE ct.kind = 'production companies'
AND mc.note NOT LIKE '%(TV)%'
AND mc.note LIKE '%(USA)%'
AND mi.info IN ('Sweden',
'Norway',
'Germany',
'Denmark',
'Swedish',
'Denish',
'Norwegian',
'German',
'USA',
'American')
AND t.production_year > 1990
AND t.id = mi.movie_id
AND t.id = mc.movie_id
AND mc.movie_id = mi.movie_id
AND ct.id = mc.company_type_id
AND it.id = mi.info_type_id;

17
external/duckdb/benchmark/imdb_plan_cost/queries/06a.sql vendored Normal file
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@@ -0,0 +1,17 @@
SELECT MIN(k.keyword) AS movie_keyword,
MIN(n.name) AS actor_name,
MIN(t.title) AS marvel_movie
FROM cast_info AS ci,
keyword AS k,
movie_keyword AS mk,
name AS n,
title AS t
WHERE k.keyword = 'marvel-cinematic-universe'
AND n.name LIKE '%Downey%Robert%'
AND t.production_year > 2010
AND k.id = mk.keyword_id
AND t.id = mk.movie_id
AND t.id = ci.movie_id
AND ci.movie_id = mk.movie_id
AND n.id = ci.person_id;

24
external/duckdb/benchmark/imdb_plan_cost/queries/06b.sql vendored Normal file
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@@ -0,0 +1,24 @@
SELECT MIN(k.keyword) AS movie_keyword,
MIN(n.name) AS actor_name,
MIN(t.title) AS hero_movie
FROM cast_info AS ci,
keyword AS k,
movie_keyword AS mk,
name AS n,
title AS t
WHERE k.keyword IN ('superhero',
'sequel',
'second-part',
'marvel-comics',
'based-on-comic',
'tv-special',
'fight',
'violence')
AND n.name LIKE '%Downey%Robert%'
AND t.production_year > 2014
AND k.id = mk.keyword_id
AND t.id = mk.movie_id
AND t.id = ci.movie_id
AND ci.movie_id = mk.movie_id
AND n.id = ci.person_id;

17
external/duckdb/benchmark/imdb_plan_cost/queries/06c.sql vendored Normal file
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@@ -0,0 +1,17 @@
SELECT MIN(k.keyword) AS movie_keyword,
MIN(n.name) AS actor_name,
MIN(t.title) AS marvel_movie
FROM cast_info AS ci,
keyword AS k,
movie_keyword AS mk,
name AS n,
title AS t
WHERE k.keyword = 'marvel-cinematic-universe'
AND n.name LIKE '%Downey%Robert%'
AND t.production_year > 2014
AND k.id = mk.keyword_id
AND t.id = mk.movie_id
AND t.id = ci.movie_id
AND ci.movie_id = mk.movie_id
AND n.id = ci.person_id;

24
external/duckdb/benchmark/imdb_plan_cost/queries/06d.sql vendored Normal file
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@@ -0,0 +1,24 @@
SELECT MIN(k.keyword) AS movie_keyword,
MIN(n.name) AS actor_name,
MIN(t.title) AS hero_movie
FROM cast_info AS ci,
keyword AS k,
movie_keyword AS mk,
name AS n,
title AS t
WHERE k.keyword IN ('superhero',
'sequel',
'second-part',
'marvel-comics',
'based-on-comic',
'tv-special',
'fight',
'violence')
AND n.name LIKE '%Downey%Robert%'
AND t.production_year > 2000
AND k.id = mk.keyword_id
AND t.id = mk.movie_id
AND t.id = ci.movie_id
AND ci.movie_id = mk.movie_id
AND n.id = ci.person_id;

17
external/duckdb/benchmark/imdb_plan_cost/queries/06e.sql vendored Normal file
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@@ -0,0 +1,17 @@
SELECT MIN(k.keyword) AS movie_keyword,
MIN(n.name) AS actor_name,
MIN(t.title) AS marvel_movie
FROM cast_info AS ci,
keyword AS k,
movie_keyword AS mk,
name AS n,
title AS t
WHERE k.keyword = 'marvel-cinematic-universe'
AND n.name LIKE '%Downey%Robert%'
AND t.production_year > 2000
AND k.id = mk.keyword_id
AND t.id = mk.movie_id
AND t.id = ci.movie_id
AND ci.movie_id = mk.movie_id
AND n.id = ci.person_id;

23
external/duckdb/benchmark/imdb_plan_cost/queries/06f.sql vendored Normal file
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@@ -0,0 +1,23 @@
SELECT MIN(k.keyword) AS movie_keyword,
MIN(n.name) AS actor_name,
MIN(t.title) AS hero_movie
FROM cast_info AS ci,
keyword AS k,
movie_keyword AS mk,
name AS n,
title AS t
WHERE k.keyword IN ('superhero',
'sequel',
'second-part',
'marvel-comics',
'based-on-comic',
'tv-special',
'fight',
'violence')
AND t.production_year > 2000
AND k.id = mk.keyword_id
AND t.id = mk.movie_id
AND t.id = ci.movie_id
AND ci.movie_id = mk.movie_id
AND n.id = ci.person_id;

31
external/duckdb/benchmark/imdb_plan_cost/queries/07a.sql vendored Normal file
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SELECT MIN(n.name) AS of_person,
MIN(t.title) AS biography_movie
FROM aka_name AS an,
cast_info AS ci,
info_type AS it,
link_type AS lt,
movie_link AS ml,
name AS n,
person_info AS pi,
title AS t
WHERE an.name LIKE '%a%'
AND it.info ='mini biography'
AND lt.link ='features'
AND n.name_pcode_cf BETWEEN 'A' AND 'F'
AND (n.gender='m'
OR (n.gender = 'f'
AND n.name LIKE 'B%'))
AND pi.note ='Volker Boehm'
AND t.production_year BETWEEN 1980 AND 1995
AND n.id = an.person_id
AND n.id = pi.person_id
AND ci.person_id = n.id
AND t.id = ci.movie_id
AND ml.linked_movie_id = t.id
AND lt.id = ml.link_type_id
AND it.id = pi.info_type_id
AND pi.person_id = an.person_id
AND pi.person_id = ci.person_id
AND an.person_id = ci.person_id
AND ci.movie_id = ml.linked_movie_id;

29
external/duckdb/benchmark/imdb_plan_cost/queries/07b.sql vendored Normal file
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SELECT MIN(n.name) AS of_person,
MIN(t.title) AS biography_movie
FROM aka_name AS an,
cast_info AS ci,
info_type AS it,
link_type AS lt,
movie_link AS ml,
name AS n,
person_info AS pi,
title AS t
WHERE an.name LIKE '%a%'
AND it.info ='mini biography'
AND lt.link ='features'
AND n.name_pcode_cf LIKE 'D%'
AND n.gender='m'
AND pi.note ='Volker Boehm'
AND t.production_year BETWEEN 1980 AND 1984
AND n.id = an.person_id
AND n.id = pi.person_id
AND ci.person_id = n.id
AND t.id = ci.movie_id
AND ml.linked_movie_id = t.id
AND lt.id = ml.link_type_id
AND it.id = pi.info_type_id
AND pi.person_id = an.person_id
AND pi.person_id = ci.person_id
AND an.person_id = ci.person_id
AND ci.movie_id = ml.linked_movie_id;

36
external/duckdb/benchmark/imdb_plan_cost/queries/07c.sql vendored Normal file
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@@ -0,0 +1,36 @@
SELECT MIN(n.name) AS cast_member_name,
MIN(pi.info) AS cast_member_info
FROM aka_name AS an,
cast_info AS ci,
info_type AS it,
link_type AS lt,
movie_link AS ml,
name AS n,
person_info AS pi,
title AS t
WHERE an.name IS NOT NULL
AND (an.name LIKE '%a%'
OR an.name LIKE 'A%')
AND it.info ='mini biography'
AND lt.link IN ('references',
'referenced in',
'features',
'featured in')
AND n.name_pcode_cf BETWEEN 'A' AND 'F'
AND (n.gender='m'
OR (n.gender = 'f'
AND n.name LIKE 'A%'))
AND pi.note IS NOT NULL
AND t.production_year BETWEEN 1980 AND 2010
AND n.id = an.person_id
AND n.id = pi.person_id
AND ci.person_id = n.id
AND t.id = ci.movie_id
AND ml.linked_movie_id = t.id
AND lt.id = ml.link_type_id
AND it.id = pi.info_type_id
AND pi.person_id = an.person_id
AND pi.person_id = ci.person_id
AND an.person_id = ci.person_id
AND ci.movie_id = ml.linked_movie_id;

25
external/duckdb/benchmark/imdb_plan_cost/queries/08a.sql vendored Normal file
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@@ -0,0 +1,25 @@
SELECT MIN(an1.name) AS actress_pseudonym,
MIN(t.title) AS japanese_movie_dubbed
FROM aka_name AS an1,
cast_info AS ci,
company_name AS cn,
movie_companies AS mc,
name AS n1,
role_type AS rt,
title AS t
WHERE ci.note ='(voice: English version)'
AND cn.country_code ='[jp]'
AND mc.note LIKE '%(Japan)%'
AND mc.note NOT LIKE '%(USA)%'
AND n1.name LIKE '%Yo%'
AND n1.name NOT LIKE '%Yu%'
AND rt.role ='actress'
AND an1.person_id = n1.id
AND n1.id = ci.person_id
AND ci.movie_id = t.id
AND t.id = mc.movie_id
AND mc.company_id = cn.id
AND ci.role_id = rt.id
AND an1.person_id = ci.person_id
AND ci.movie_id = mc.movie_id;

30
external/duckdb/benchmark/imdb_plan_cost/queries/08b.sql vendored Normal file
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@@ -0,0 +1,30 @@
SELECT MIN(an.name) AS acress_pseudonym,
MIN(t.title) AS japanese_anime_movie
FROM aka_name AS an,
cast_info AS ci,
company_name AS cn,
movie_companies AS mc,
name AS n,
role_type AS rt,
title AS t
WHERE ci.note ='(voice: English version)'
AND cn.country_code ='[jp]'
AND mc.note LIKE '%(Japan)%'
AND mc.note NOT LIKE '%(USA)%'
AND (mc.note LIKE '%(2006)%'
OR mc.note LIKE '%(2007)%')
AND n.name LIKE '%Yo%'
AND n.name NOT LIKE '%Yu%'
AND rt.role ='actress'
AND t.production_year BETWEEN 2006 AND 2007
AND (t.title LIKE 'One Piece%'
OR t.title LIKE 'Dragon Ball Z%')
AND an.person_id = n.id
AND n.id = ci.person_id
AND ci.movie_id = t.id
AND t.id = mc.movie_id
AND mc.company_id = cn.id
AND ci.role_id = rt.id
AND an.person_id = ci.person_id
AND ci.movie_id = mc.movie_id;

20
external/duckdb/benchmark/imdb_plan_cost/queries/08c.sql vendored Normal file
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@@ -0,0 +1,20 @@
SELECT MIN(a1.name) AS writer_pseudo_name,
MIN(t.title) AS movie_title
FROM aka_name AS a1,
cast_info AS ci,
company_name AS cn,
movie_companies AS mc,
name AS n1,
role_type AS rt,
title AS t
WHERE cn.country_code ='[us]'
AND rt.role ='writer'
AND a1.person_id = n1.id
AND n1.id = ci.person_id
AND ci.movie_id = t.id
AND t.id = mc.movie_id
AND mc.company_id = cn.id
AND ci.role_id = rt.id
AND a1.person_id = ci.person_id
AND ci.movie_id = mc.movie_id;

20
external/duckdb/benchmark/imdb_plan_cost/queries/08d.sql vendored Normal file
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@@ -0,0 +1,20 @@
SELECT MIN(an1.name) AS costume_designer_pseudo,
MIN(t.title) AS movie_with_costumes
FROM aka_name AS an1,
cast_info AS ci,
company_name AS cn,
movie_companies AS mc,
name AS n1,
role_type AS rt,
title AS t
WHERE cn.country_code ='[us]'
AND rt.role ='costume designer'
AND an1.person_id = n1.id
AND n1.id = ci.person_id
AND ci.movie_id = t.id
AND t.id = mc.movie_id
AND mc.company_id = cn.id
AND ci.role_id = rt.id
AND an1.person_id = ci.person_id
AND ci.movie_id = mc.movie_id;

33
external/duckdb/benchmark/imdb_plan_cost/queries/09a.sql vendored Normal file
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@@ -0,0 +1,33 @@
SELECT MIN(an.name) AS alternative_name,
MIN(chn.name) AS character_name,
MIN(t.title) AS movie
FROM aka_name AS an,
char_name AS chn,
cast_info AS ci,
company_name AS cn,
movie_companies AS mc,
name AS n,
role_type AS rt,
title AS t
WHERE ci.note IN ('(voice)',
'(voice: Japanese version)',
'(voice) (uncredited)',
'(voice: English version)')
AND cn.country_code ='[us]'
AND mc.note IS NOT NULL
AND (mc.note LIKE '%(USA)%'
OR mc.note LIKE '%(worldwide)%')
AND n.gender ='f'
AND n.name LIKE '%Ang%'
AND rt.role ='actress'
AND t.production_year BETWEEN 2005 AND 2015
AND ci.movie_id = t.id
AND t.id = mc.movie_id
AND ci.movie_id = mc.movie_id
AND mc.company_id = cn.id
AND ci.role_id = rt.id
AND n.id = ci.person_id
AND chn.id = ci.person_role_id
AND an.person_id = n.id
AND an.person_id = ci.person_id;

31
external/duckdb/benchmark/imdb_plan_cost/queries/09b.sql vendored Normal file
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@@ -0,0 +1,31 @@
SELECT MIN(an.name) AS alternative_name,
MIN(chn.name) AS voiced_character,
MIN(n.name) AS voicing_actress,
MIN(t.title) AS american_movie
FROM aka_name AS an,
char_name AS chn,
cast_info AS ci,
company_name AS cn,
movie_companies AS mc,
name AS n,
role_type AS rt,
title AS t
WHERE ci.note = '(voice)'
AND cn.country_code ='[us]'
AND mc.note LIKE '%(200%)%'
AND (mc.note LIKE '%(USA)%'
OR mc.note LIKE '%(worldwide)%')
AND n.gender ='f'
AND n.name LIKE '%Angel%'
AND rt.role ='actress'
AND t.production_year BETWEEN 2007 AND 2010
AND ci.movie_id = t.id
AND t.id = mc.movie_id
AND ci.movie_id = mc.movie_id
AND mc.company_id = cn.id
AND ci.role_id = rt.id
AND n.id = ci.person_id
AND chn.id = ci.person_role_id
AND an.person_id = n.id
AND an.person_id = ci.person_id;

30
external/duckdb/benchmark/imdb_plan_cost/queries/09c.sql vendored Normal file
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@@ -0,0 +1,30 @@
SELECT MIN(an.name) AS alternative_name,
MIN(chn.name) AS voiced_character_name,
MIN(n.name) AS voicing_actress,
MIN(t.title) AS american_movie
FROM aka_name AS an,
char_name AS chn,
cast_info AS ci,
company_name AS cn,
movie_companies AS mc,
name AS n,
role_type AS rt,
title AS t
WHERE ci.note IN ('(voice)',
'(voice: Japanese version)',
'(voice) (uncredited)',
'(voice: English version)')
AND cn.country_code ='[us]'
AND n.gender ='f'
AND n.name LIKE '%An%'
AND rt.role ='actress'
AND ci.movie_id = t.id
AND t.id = mc.movie_id
AND ci.movie_id = mc.movie_id
AND mc.company_id = cn.id
AND ci.role_id = rt.id
AND n.id = ci.person_id
AND chn.id = ci.person_role_id
AND an.person_id = n.id
AND an.person_id = ci.person_id;

29
external/duckdb/benchmark/imdb_plan_cost/queries/09d.sql vendored Normal file
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@@ -0,0 +1,29 @@
SELECT MIN(an.name) AS alternative_name,
MIN(chn.name) AS voiced_char_name,
MIN(n.name) AS voicing_actress,
MIN(t.title) AS american_movie
FROM aka_name AS an,
char_name AS chn,
cast_info AS ci,
company_name AS cn,
movie_companies AS mc,
name AS n,
role_type AS rt,
title AS t
WHERE ci.note IN ('(voice)',
'(voice: Japanese version)',
'(voice) (uncredited)',
'(voice: English version)')
AND cn.country_code ='[us]'
AND n.gender ='f'
AND rt.role ='actress'
AND ci.movie_id = t.id
AND t.id = mc.movie_id
AND ci.movie_id = mc.movie_id
AND mc.company_id = cn.id
AND ci.role_id = rt.id
AND n.id = ci.person_id
AND chn.id = ci.person_role_id
AND an.person_id = n.id
AND an.person_id = ci.person_id;

22
external/duckdb/benchmark/imdb_plan_cost/queries/10a.sql vendored Normal file
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@@ -0,0 +1,22 @@
SELECT MIN(chn.name) AS uncredited_voiced_character,
MIN(t.title) AS russian_movie
FROM char_name AS chn,
cast_info AS ci,
company_name AS cn,
company_type AS ct,
movie_companies AS mc,
role_type AS rt,
title AS t
WHERE ci.note LIKE '%(voice)%'
AND ci.note LIKE '%(uncredited)%'
AND cn.country_code = '[ru]'
AND rt.role = 'actor'
AND t.production_year > 2005
AND t.id = mc.movie_id
AND t.id = ci.movie_id
AND ci.movie_id = mc.movie_id
AND chn.id = ci.person_role_id
AND rt.id = ci.role_id
AND cn.id = mc.company_id
AND ct.id = mc.company_type_id;

21
external/duckdb/benchmark/imdb_plan_cost/queries/10b.sql vendored Normal file
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@@ -0,0 +1,21 @@
SELECT MIN(chn.name) AS character,
MIN(t.title) AS russian_mov_with_actor_producer
FROM char_name AS chn,
cast_info AS ci,
company_name AS cn,
company_type AS ct,
movie_companies AS mc,
role_type AS rt,
title AS t
WHERE ci.note LIKE '%(producer)%'
AND cn.country_code = '[ru]'
AND rt.role = 'actor'
AND t.production_year > 2010
AND t.id = mc.movie_id
AND t.id = ci.movie_id
AND ci.movie_id = mc.movie_id
AND chn.id = ci.person_role_id
AND rt.id = ci.role_id
AND cn.id = mc.company_id
AND ct.id = mc.company_type_id;

19
external/duckdb/benchmark/imdb_plan_cost/queries/10c.sql vendored Normal file
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@@ -0,0 +1,19 @@
SELECT MIN(chn.name) AS character,
MIN(t.title) AS movie_with_american_producer
FROM char_name AS chn,
cast_info AS ci,
company_name AS cn,
company_type AS ct,
movie_companies AS mc,
role_type AS rt,
title AS t
WHERE ci.note LIKE '%(producer)%'
AND cn.country_code = '[us]'
AND t.production_year > 1990
AND t.id = mc.movie_id
AND t.id = ci.movie_id
AND ci.movie_id = mc.movie_id
AND chn.id = ci.person_role_id
AND rt.id = ci.role_id
AND cn.id = mc.company_id
AND ct.id = mc.company_type_id;

30
external/duckdb/benchmark/imdb_plan_cost/queries/11a.sql vendored Normal file
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@@ -0,0 +1,30 @@
SELECT MIN(cn.name) AS from_company,
MIN(lt.link) AS movie_link_type,
MIN(t.title) AS non_polish_sequel_movie
FROM company_name AS cn,
company_type AS ct,
keyword AS k,
link_type AS lt,
movie_companies AS mc,
movie_keyword AS mk,
movie_link AS ml,
title AS t
WHERE cn.country_code !='[pl]'
AND (cn.name LIKE '%Film%'
OR cn.name LIKE '%Warner%')
AND ct.kind ='production companies'
AND k.keyword ='sequel'
AND lt.link LIKE '%follow%'
AND mc.note IS NULL
AND t.production_year BETWEEN 1950 AND 2000
AND lt.id = ml.link_type_id
AND ml.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_type_id = ct.id
AND mc.company_id = cn.id
AND ml.movie_id = mk.movie_id
AND ml.movie_id = mc.movie_id
AND mk.movie_id = mc.movie_id;

31
external/duckdb/benchmark/imdb_plan_cost/queries/11b.sql vendored Normal file
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@@ -0,0 +1,31 @@
SELECT MIN(cn.name) AS from_company,
MIN(lt.link) AS movie_link_type,
MIN(t.title) AS sequel_movie
FROM company_name AS cn,
company_type AS ct,
keyword AS k,
link_type AS lt,
movie_companies AS mc,
movie_keyword AS mk,
movie_link AS ml,
title AS t
WHERE cn.country_code !='[pl]'
AND (cn.name LIKE '%Film%'
OR cn.name LIKE '%Warner%')
AND ct.kind ='production companies'
AND k.keyword ='sequel'
AND lt.link LIKE '%follows%'
AND mc.note IS NULL
AND t.production_year = 1998
AND t.title LIKE '%Money%'
AND lt.id = ml.link_type_id
AND ml.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_type_id = ct.id
AND mc.company_id = cn.id
AND ml.movie_id = mk.movie_id
AND ml.movie_id = mc.movie_id
AND mk.movie_id = mc.movie_id;

32
external/duckdb/benchmark/imdb_plan_cost/queries/11c.sql vendored Normal file
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@@ -0,0 +1,32 @@
SELECT MIN(cn.name) AS from_company,
MIN(mc.note) AS production_note,
MIN(t.title) AS movie_based_on_book
FROM company_name AS cn,
company_type AS ct,
keyword AS k,
link_type AS lt,
movie_companies AS mc,
movie_keyword AS mk,
movie_link AS ml,
title AS t
WHERE cn.country_code !='[pl]'
AND (cn.name LIKE '20th Century Fox%'
OR cn.name LIKE 'Twentieth Century Fox%')
AND ct.kind != 'production companies'
AND ct.kind IS NOT NULL
AND k.keyword IN ('sequel',
'revenge',
'based-on-novel')
AND mc.note IS NOT NULL
AND t.production_year > 1950
AND lt.id = ml.link_type_id
AND ml.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_type_id = ct.id
AND mc.company_id = cn.id
AND ml.movie_id = mk.movie_id
AND ml.movie_id = mc.movie_id
AND mk.movie_id = mc.movie_id;

30
external/duckdb/benchmark/imdb_plan_cost/queries/11d.sql vendored Normal file
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@@ -0,0 +1,30 @@
SELECT MIN(cn.name) AS from_company,
MIN(mc.note) AS production_note,
MIN(t.title) AS movie_based_on_book
FROM company_name AS cn,
company_type AS ct,
keyword AS k,
link_type AS lt,
movie_companies AS mc,
movie_keyword AS mk,
movie_link AS ml,
title AS t
WHERE cn.country_code !='[pl]'
AND ct.kind != 'production companies'
AND ct.kind IS NOT NULL
AND k.keyword IN ('sequel',
'revenge',
'based-on-novel')
AND mc.note IS NOT NULL
AND t.production_year > 1950
AND lt.id = ml.link_type_id
AND ml.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_type_id = ct.id
AND mc.company_id = cn.id
AND ml.movie_id = mk.movie_id
AND ml.movie_id = mc.movie_id
AND mk.movie_id = mc.movie_id;

30
external/duckdb/benchmark/imdb_plan_cost/queries/12a.sql vendored Normal file
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@@ -0,0 +1,30 @@
SELECT MIN(cn.name) AS movie_company,
MIN(mi_idx.info) AS rating,
MIN(t.title) AS drama_horror_movie
FROM company_name AS cn,
company_type AS ct,
info_type AS it1,
info_type AS it2,
movie_companies AS mc,
movie_info AS mi,
movie_info_idx AS mi_idx,
title AS t
WHERE cn.country_code = '[us]'
AND ct.kind = 'production companies'
AND it1.info = 'genres'
AND it2.info = 'rating'
AND mi.info IN ('Drama',
'Horror')
AND mi_idx.info > '8.0'
AND t.production_year BETWEEN 2005 AND 2008
AND t.id = mi.movie_id
AND t.id = mi_idx.movie_id
AND mi.info_type_id = it1.id
AND mi_idx.info_type_id = it2.id
AND t.id = mc.movie_id
AND ct.id = mc.company_type_id
AND cn.id = mc.company_id
AND mc.movie_id = mi.movie_id
AND mc.movie_id = mi_idx.movie_id
AND mi.movie_id = mi_idx.movie_id;

30
external/duckdb/benchmark/imdb_plan_cost/queries/12b.sql vendored Normal file
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@@ -0,0 +1,30 @@
SELECT MIN(mi.info) AS budget,
MIN(t.title) AS unsuccsessful_movie
FROM company_name AS cn,
company_type AS ct,
info_type AS it1,
info_type AS it2,
movie_companies AS mc,
movie_info AS mi,
movie_info_idx AS mi_idx,
title AS t
WHERE cn.country_code ='[us]'
AND ct.kind IS NOT NULL
AND (ct.kind ='production companies'
OR ct.kind = 'distributors')
AND it1.info ='budget'
AND it2.info ='bottom 10 rank'
AND t.production_year >2000
AND (t.title LIKE 'Birdemic%'
OR t.title LIKE '%Movie%')
AND t.id = mi.movie_id
AND t.id = mi_idx.movie_id
AND mi.info_type_id = it1.id
AND mi_idx.info_type_id = it2.id
AND t.id = mc.movie_id
AND ct.id = mc.company_type_id
AND cn.id = mc.company_id
AND mc.movie_id = mi.movie_id
AND mc.movie_id = mi_idx.movie_id
AND mi.movie_id = mi_idx.movie_id;

32
external/duckdb/benchmark/imdb_plan_cost/queries/12c.sql vendored Normal file
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@@ -0,0 +1,32 @@
SELECT MIN(cn.name) AS movie_company,
MIN(mi_idx.info) AS rating,
MIN(t.title) AS mainstream_movie
FROM company_name AS cn,
company_type AS ct,
info_type AS it1,
info_type AS it2,
movie_companies AS mc,
movie_info AS mi,
movie_info_idx AS mi_idx,
title AS t
WHERE cn.country_code = '[us]'
AND ct.kind = 'production companies'
AND it1.info = 'genres'
AND it2.info = 'rating'
AND mi.info IN ('Drama',
'Horror',
'Western',
'Family')
AND mi_idx.info > '7.0'
AND t.production_year BETWEEN 2000 AND 2010
AND t.id = mi.movie_id
AND t.id = mi_idx.movie_id
AND mi.info_type_id = it1.id
AND mi_idx.info_type_id = it2.id
AND t.id = mc.movie_id
AND ct.id = mc.company_type_id
AND cn.id = mc.company_id
AND mc.movie_id = mi.movie_id
AND mc.movie_id = mi_idx.movie_id
AND mi.movie_id = mi_idx.movie_id;

29
external/duckdb/benchmark/imdb_plan_cost/queries/13a.sql vendored Normal file
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@@ -0,0 +1,29 @@
SELECT MIN(mi.info) AS release_date,
MIN(miidx.info) AS rating,
MIN(t.title) AS german_movie
FROM company_name AS cn,
company_type AS ct,
info_type AS it,
info_type AS it2,
kind_type AS kt,
movie_companies AS mc,
movie_info AS mi,
movie_info_idx AS miidx,
title AS t
WHERE cn.country_code ='[de]'
AND ct.kind ='production companies'
AND it.info ='rating'
AND it2.info ='release dates'
AND kt.kind ='movie'
AND mi.movie_id = t.id
AND it2.id = mi.info_type_id
AND kt.id = t.kind_id
AND mc.movie_id = t.id
AND cn.id = mc.company_id
AND ct.id = mc.company_type_id
AND miidx.movie_id = t.id
AND it.id = miidx.info_type_id
AND mi.movie_id = miidx.movie_id
AND mi.movie_id = mc.movie_id
AND miidx.movie_id = mc.movie_id;

32
external/duckdb/benchmark/imdb_plan_cost/queries/13b.sql vendored Normal file
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@@ -0,0 +1,32 @@
SELECT MIN(cn.name) AS producing_company,
MIN(miidx.info) AS rating,
MIN(t.title) AS movie_about_winning
FROM company_name AS cn,
company_type AS ct,
info_type AS it,
info_type AS it2,
kind_type AS kt,
movie_companies AS mc,
movie_info AS mi,
movie_info_idx AS miidx,
title AS t
WHERE cn.country_code ='[us]'
AND ct.kind ='production companies'
AND it.info ='rating'
AND it2.info ='release dates'
AND kt.kind ='movie'
AND t.title != ''
AND (t.title LIKE '%Champion%'
OR t.title LIKE '%Loser%')
AND mi.movie_id = t.id
AND it2.id = mi.info_type_id
AND kt.id = t.kind_id
AND mc.movie_id = t.id
AND cn.id = mc.company_id
AND ct.id = mc.company_type_id
AND miidx.movie_id = t.id
AND it.id = miidx.info_type_id
AND mi.movie_id = miidx.movie_id
AND mi.movie_id = mc.movie_id
AND miidx.movie_id = mc.movie_id;

32
external/duckdb/benchmark/imdb_plan_cost/queries/13c.sql vendored Normal file
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@@ -0,0 +1,32 @@
SELECT MIN(cn.name) AS producing_company,
MIN(miidx.info) AS rating,
MIN(t.title) AS movie_about_winning
FROM company_name AS cn,
company_type AS ct,
info_type AS it,
info_type AS it2,
kind_type AS kt,
movie_companies AS mc,
movie_info AS mi,
movie_info_idx AS miidx,
title AS t
WHERE cn.country_code ='[us]'
AND ct.kind ='production companies'
AND it.info ='rating'
AND it2.info ='release dates'
AND kt.kind ='movie'
AND t.title != ''
AND (t.title LIKE 'Champion%'
OR t.title LIKE 'Loser%')
AND mi.movie_id = t.id
AND it2.id = mi.info_type_id
AND kt.id = t.kind_id
AND mc.movie_id = t.id
AND cn.id = mc.company_id
AND ct.id = mc.company_type_id
AND miidx.movie_id = t.id
AND it.id = miidx.info_type_id
AND mi.movie_id = miidx.movie_id
AND mi.movie_id = mc.movie_id
AND miidx.movie_id = mc.movie_id;

29
external/duckdb/benchmark/imdb_plan_cost/queries/13d.sql vendored Normal file
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@@ -0,0 +1,29 @@
SELECT MIN(cn.name) AS producing_company,
MIN(miidx.info) AS rating,
MIN(t.title) AS movie
FROM company_name AS cn,
company_type AS ct,
info_type AS it,
info_type AS it2,
kind_type AS kt,
movie_companies AS mc,
movie_info AS mi,
movie_info_idx AS miidx,
title AS t
WHERE cn.country_code ='[us]'
AND ct.kind ='production companies'
AND it.info ='rating'
AND it2.info ='release dates'
AND kt.kind ='movie'
AND mi.movie_id = t.id
AND it2.id = mi.info_type_id
AND kt.id = t.kind_id
AND mc.movie_id = t.id
AND cn.id = mc.company_id
AND ct.id = mc.company_type_id
AND miidx.movie_id = t.id
AND it.id = miidx.info_type_id
AND mi.movie_id = miidx.movie_id
AND mi.movie_id = mc.movie_id
AND miidx.movie_id = mc.movie_id;

40
external/duckdb/benchmark/imdb_plan_cost/queries/14a.sql vendored Normal file
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@@ -0,0 +1,40 @@
SELECT MIN(mi_idx.info) AS rating,
MIN(t.title) AS northern_dark_movie
FROM info_type AS it1,
info_type AS it2,
keyword AS k,
kind_type AS kt,
movie_info AS mi,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
title AS t
WHERE it1.info = 'countries'
AND it2.info = 'rating'
AND k.keyword IN ('murder',
'murder-in-title',
'blood',
'violence')
AND kt.kind = 'movie'
AND mi.info IN ('Sweden',
'Norway',
'Germany',
'Denmark',
'Swedish',
'Denish',
'Norwegian',
'German',
'USA',
'American')
AND mi_idx.info < '8.5'
AND t.production_year > 2010
AND kt.id = t.kind_id
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND t.id = mi_idx.movie_id
AND mk.movie_id = mi.movie_id
AND mk.movie_id = mi_idx.movie_id
AND mi.movie_id = mi_idx.movie_id
AND k.id = mk.keyword_id
AND it1.id = mi.info_type_id
AND it2.id = mi_idx.info_type_id;

41
external/duckdb/benchmark/imdb_plan_cost/queries/14b.sql vendored Normal file
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@@ -0,0 +1,41 @@
SELECT MIN(mi_idx.info) AS rating,
MIN(t.title) AS western_dark_production
FROM info_type AS it1,
info_type AS it2,
keyword AS k,
kind_type AS kt,
movie_info AS mi,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
title AS t
WHERE it1.info = 'countries'
AND it2.info = 'rating'
AND k.keyword IN ('murder',
'murder-in-title')
AND kt.kind = 'movie'
AND mi.info IN ('Sweden',
'Norway',
'Germany',
'Denmark',
'Swedish',
'Denish',
'Norwegian',
'German',
'USA',
'American')
AND mi_idx.info > '6.0'
AND t.production_year > 2010
AND (t.title LIKE '%murder%'
OR t.title LIKE '%Murder%'
OR t.title LIKE '%Mord%')
AND kt.id = t.kind_id
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND t.id = mi_idx.movie_id
AND mk.movie_id = mi.movie_id
AND mk.movie_id = mi_idx.movie_id
AND mi.movie_id = mi_idx.movie_id
AND k.id = mk.keyword_id
AND it1.id = mi.info_type_id
AND it2.id = mi_idx.info_type_id;

42
external/duckdb/benchmark/imdb_plan_cost/queries/14c.sql vendored Normal file
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@@ -0,0 +1,42 @@
SELECT MIN(mi_idx.info) AS rating,
MIN(t.title) AS north_european_dark_production
FROM info_type AS it1,
info_type AS it2,
keyword AS k,
kind_type AS kt,
movie_info AS mi,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
title AS t
WHERE it1.info = 'countries'
AND it2.info = 'rating'
AND k.keyword IS NOT NULL
AND k.keyword IN ('murder',
'murder-in-title',
'blood',
'violence')
AND kt.kind IN ('movie',
'episode')
AND mi.info IN ('Sweden',
'Norway',
'Germany',
'Denmark',
'Swedish',
'Danish',
'Norwegian',
'German',
'USA',
'American')
AND mi_idx.info < '8.5'
AND t.production_year > 2005
AND kt.id = t.kind_id
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND t.id = mi_idx.movie_id
AND mk.movie_id = mi.movie_id
AND mk.movie_id = mi_idx.movie_id
AND mi.movie_id = mi_idx.movie_id
AND k.id = mk.keyword_id
AND it1.id = mi.info_type_id
AND it2.id = mi_idx.info_type_id;

33
external/duckdb/benchmark/imdb_plan_cost/queries/15a.sql vendored Normal file
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@@ -0,0 +1,33 @@
SELECT MIN(mi.info) AS release_date,
MIN(t.title) AS internet_movie
FROM aka_title AS at_,
company_name AS cn,
company_type AS ct,
info_type AS it1,
keyword AS k,
movie_companies AS mc,
movie_info AS mi,
movie_keyword AS mk,
title AS t
WHERE cn.country_code = '[us]'
AND it1.info = 'release dates'
AND mc.note LIKE '%(200%)%'
AND mc.note LIKE '%(worldwide)%'
AND mi.note LIKE '%internet%'
AND mi.info LIKE 'USA:% 200%'
AND t.production_year > 2000
AND t.id = at_.movie_id
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND t.id = mc.movie_id
AND mk.movie_id = mi.movie_id
AND mk.movie_id = mc.movie_id
AND mk.movie_id = at_.movie_id
AND mi.movie_id = mc.movie_id
AND mi.movie_id = at_.movie_id
AND mc.movie_id = at_.movie_id
AND k.id = mk.keyword_id
AND it1.id = mi.info_type_id
AND cn.id = mc.company_id
AND ct.id = mc.company_type_id;

34
external/duckdb/benchmark/imdb_plan_cost/queries/15b.sql vendored Normal file
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@@ -0,0 +1,34 @@
SELECT MIN(mi.info) AS release_date,
MIN(t.title) AS youtube_movie
FROM aka_title AS at_,
company_name AS cn,
company_type AS ct,
info_type AS it1,
keyword AS k,
movie_companies AS mc,
movie_info AS mi,
movie_keyword AS mk,
title AS t
WHERE cn.country_code = '[us]'
AND cn.name = 'YouTube'
AND it1.info = 'release dates'
AND mc.note LIKE '%(200%)%'
AND mc.note LIKE '%(worldwide)%'
AND mi.note LIKE '%internet%'
AND mi.info LIKE 'USA:% 200%'
AND t.production_year BETWEEN 2005 AND 2010
AND t.id = at_.movie_id
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND t.id = mc.movie_id
AND mk.movie_id = mi.movie_id
AND mk.movie_id = mc.movie_id
AND mk.movie_id = at_.movie_id
AND mi.movie_id = mc.movie_id
AND mi.movie_id = at_.movie_id
AND mc.movie_id = at_.movie_id
AND k.id = mk.keyword_id
AND it1.id = mi.info_type_id
AND cn.id = mc.company_id
AND ct.id = mc.company_type_id;

33
external/duckdb/benchmark/imdb_plan_cost/queries/15c.sql vendored Normal file
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@@ -0,0 +1,33 @@
SELECT MIN(mi.info) AS release_date,
MIN(t.title) AS modern_american_internet_movie
FROM aka_title AS at_,
company_name AS cn,
company_type AS ct,
info_type AS it1,
keyword AS k,
movie_companies AS mc,
movie_info AS mi,
movie_keyword AS mk,
title AS t
WHERE cn.country_code = '[us]'
AND it1.info = 'release dates'
AND mi.note LIKE '%internet%'
AND mi.info IS NOT NULL
AND (mi.info LIKE 'USA:% 199%'
OR mi.info LIKE 'USA:% 200%')
AND t.production_year > 1990
AND t.id = at_.movie_id
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND t.id = mc.movie_id
AND mk.movie_id = mi.movie_id
AND mk.movie_id = mc.movie_id
AND mk.movie_id = at_.movie_id
AND mi.movie_id = mc.movie_id
AND mi.movie_id = at_.movie_id
AND mc.movie_id = at_.movie_id
AND k.id = mk.keyword_id
AND it1.id = mi.info_type_id
AND cn.id = mc.company_id
AND ct.id = mc.company_type_id;

30
external/duckdb/benchmark/imdb_plan_cost/queries/15d.sql vendored Normal file
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@@ -0,0 +1,30 @@
SELECT MIN(at_.title) AS aka_title,
MIN(t.title) AS internet_movie_title
FROM aka_title AS at_,
company_name AS cn,
company_type AS ct,
info_type AS it1,
keyword AS k,
movie_companies AS mc,
movie_info AS mi,
movie_keyword AS mk,
title AS t
WHERE cn.country_code = '[us]'
AND it1.info = 'release dates'
AND mi.note LIKE '%internet%'
AND t.production_year > 1990
AND t.id = at_.movie_id
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND t.id = mc.movie_id
AND mk.movie_id = mi.movie_id
AND mk.movie_id = mc.movie_id
AND mk.movie_id = at_.movie_id
AND mi.movie_id = mc.movie_id
AND mi.movie_id = at_.movie_id
AND mc.movie_id = at_.movie_id
AND k.id = mk.keyword_id
AND it1.id = mi.info_type_id
AND cn.id = mc.company_id
AND ct.id = mc.company_type_id;

26
external/duckdb/benchmark/imdb_plan_cost/queries/16a.sql vendored Normal file
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@@ -0,0 +1,26 @@
SELECT MIN(an.name) AS cool_actor_pseudonym,
MIN(t.title) AS series_named_after_char
FROM aka_name AS an,
cast_info AS ci,
company_name AS cn,
keyword AS k,
movie_companies AS mc,
movie_keyword AS mk,
name AS n,
title AS t
WHERE cn.country_code ='[us]'
AND k.keyword ='character-name-in-title'
AND t.episode_nr >= 50
AND t.episode_nr < 100
AND an.person_id = n.id
AND n.id = ci.person_id
AND ci.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_id = cn.id
AND an.person_id = ci.person_id
AND ci.movie_id = mc.movie_id
AND ci.movie_id = mk.movie_id
AND mc.movie_id = mk.movie_id;

24
external/duckdb/benchmark/imdb_plan_cost/queries/16b.sql vendored Normal file
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@@ -0,0 +1,24 @@
SELECT MIN(an.name) AS cool_actor_pseudonym,
MIN(t.title) AS series_named_after_char
FROM aka_name AS an,
cast_info AS ci,
company_name AS cn,
keyword AS k,
movie_companies AS mc,
movie_keyword AS mk,
name AS n,
title AS t
WHERE cn.country_code ='[us]'
AND k.keyword ='character-name-in-title'
AND an.person_id = n.id
AND n.id = ci.person_id
AND ci.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_id = cn.id
AND an.person_id = ci.person_id
AND ci.movie_id = mc.movie_id
AND ci.movie_id = mk.movie_id
AND mc.movie_id = mk.movie_id;

25
external/duckdb/benchmark/imdb_plan_cost/queries/16c.sql vendored Normal file
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@@ -0,0 +1,25 @@
SELECT MIN(an.name) AS cool_actor_pseudonym,
MIN(t.title) AS series_named_after_char
FROM aka_name AS an,
cast_info AS ci,
company_name AS cn,
keyword AS k,
movie_companies AS mc,
movie_keyword AS mk,
name AS n,
title AS t
WHERE cn.country_code ='[us]'
AND k.keyword ='character-name-in-title'
AND t.episode_nr < 100
AND an.person_id = n.id
AND n.id = ci.person_id
AND ci.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_id = cn.id
AND an.person_id = ci.person_id
AND ci.movie_id = mc.movie_id
AND ci.movie_id = mk.movie_id
AND mc.movie_id = mk.movie_id;

26
external/duckdb/benchmark/imdb_plan_cost/queries/16d.sql vendored Normal file
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@@ -0,0 +1,26 @@
SELECT MIN(an.name) AS cool_actor_pseudonym,
MIN(t.title) AS series_named_after_char
FROM aka_name AS an,
cast_info AS ci,
company_name AS cn,
keyword AS k,
movie_companies AS mc,
movie_keyword AS mk,
name AS n,
title AS t
WHERE cn.country_code ='[us]'
AND k.keyword ='character-name-in-title'
AND t.episode_nr >= 5
AND t.episode_nr < 100
AND an.person_id = n.id
AND n.id = ci.person_id
AND ci.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_id = cn.id
AND an.person_id = ci.person_id
AND ci.movie_id = mc.movie_id
AND ci.movie_id = mk.movie_id
AND mc.movie_id = mk.movie_id;

22
external/duckdb/benchmark/imdb_plan_cost/queries/17a.sql vendored Normal file
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@@ -0,0 +1,22 @@
SELECT MIN(n.name) AS member_in_charnamed_american_movie,
MIN(n.name) AS a1
FROM cast_info AS ci,
company_name AS cn,
keyword AS k,
movie_companies AS mc,
movie_keyword AS mk,
name AS n,
title AS t
WHERE cn.country_code ='[us]'
AND k.keyword ='character-name-in-title'
AND n.name LIKE 'B%'
AND n.id = ci.person_id
AND ci.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_id = cn.id
AND ci.movie_id = mc.movie_id
AND ci.movie_id = mk.movie_id
AND mc.movie_id = mk.movie_id;

21
external/duckdb/benchmark/imdb_plan_cost/queries/17b.sql vendored Normal file
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@@ -0,0 +1,21 @@
SELECT MIN(n.name) AS member_in_charnamed_movie,
MIN(n.name) AS a1
FROM cast_info AS ci,
company_name AS cn,
keyword AS k,
movie_companies AS mc,
movie_keyword AS mk,
name AS n,
title AS t
WHERE k.keyword ='character-name-in-title'
AND n.name LIKE 'Z%'
AND n.id = ci.person_id
AND ci.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_id = cn.id
AND ci.movie_id = mc.movie_id
AND ci.movie_id = mk.movie_id
AND mc.movie_id = mk.movie_id;

21
external/duckdb/benchmark/imdb_plan_cost/queries/17c.sql vendored Normal file
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@@ -0,0 +1,21 @@
SELECT MIN(n.name) AS member_in_charnamed_movie,
MIN(n.name) AS a1
FROM cast_info AS ci,
company_name AS cn,
keyword AS k,
movie_companies AS mc,
movie_keyword AS mk,
name AS n,
title AS t
WHERE k.keyword ='character-name-in-title'
AND n.name LIKE 'X%'
AND n.id = ci.person_id
AND ci.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_id = cn.id
AND ci.movie_id = mc.movie_id
AND ci.movie_id = mk.movie_id
AND mc.movie_id = mk.movie_id;

20
external/duckdb/benchmark/imdb_plan_cost/queries/17d.sql vendored Normal file
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@@ -0,0 +1,20 @@
SELECT MIN(n.name) AS member_in_charnamed_movie
FROM cast_info AS ci,
company_name AS cn,
keyword AS k,
movie_companies AS mc,
movie_keyword AS mk,
name AS n,
title AS t
WHERE k.keyword ='character-name-in-title'
AND n.name LIKE '%Bert%'
AND n.id = ci.person_id
AND ci.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_id = cn.id
AND ci.movie_id = mc.movie_id
AND ci.movie_id = mk.movie_id
AND mc.movie_id = mk.movie_id;

20
external/duckdb/benchmark/imdb_plan_cost/queries/17e.sql vendored Normal file
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@@ -0,0 +1,20 @@
SELECT MIN(n.name) AS member_in_charnamed_movie
FROM cast_info AS ci,
company_name AS cn,
keyword AS k,
movie_companies AS mc,
movie_keyword AS mk,
name AS n,
title AS t
WHERE cn.country_code ='[us]'
AND k.keyword ='character-name-in-title'
AND n.id = ci.person_id
AND ci.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_id = cn.id
AND ci.movie_id = mc.movie_id
AND ci.movie_id = mk.movie_id
AND mc.movie_id = mk.movie_id;

20
external/duckdb/benchmark/imdb_plan_cost/queries/17f.sql vendored Normal file
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@@ -0,0 +1,20 @@
SELECT MIN(n.name) AS member_in_charnamed_movie
FROM cast_info AS ci,
company_name AS cn,
keyword AS k,
movie_companies AS mc,
movie_keyword AS mk,
name AS n,
title AS t
WHERE k.keyword ='character-name-in-title'
AND n.name LIKE '%B%'
AND n.id = ci.person_id
AND ci.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_id = cn.id
AND ci.movie_id = mc.movie_id
AND ci.movie_id = mk.movie_id
AND mc.movie_id = mk.movie_id;

26
external/duckdb/benchmark/imdb_plan_cost/queries/18a.sql vendored Normal file
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@@ -0,0 +1,26 @@
SELECT MIN(mi.info) AS movie_budget,
MIN(mi_idx.info) AS movie_votes,
MIN(t.title) AS movie_title
FROM cast_info AS ci,
info_type AS it1,
info_type AS it2,
movie_info AS mi,
movie_info_idx AS mi_idx,
name AS n,
title AS t
WHERE ci.note IN ('(producer)',
'(executive producer)')
AND it1.info = 'budget'
AND it2.info = 'votes'
AND n.gender = 'm'
AND n.name LIKE '%Tim%'
AND t.id = mi.movie_id
AND t.id = mi_idx.movie_id
AND t.id = ci.movie_id
AND ci.movie_id = mi.movie_id
AND ci.movie_id = mi_idx.movie_id
AND mi.movie_id = mi_idx.movie_id
AND n.id = ci.person_id
AND it1.id = mi.info_type_id
AND it2.id = mi_idx.info_type_id;

34
external/duckdb/benchmark/imdb_plan_cost/queries/18b.sql vendored Normal file
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@@ -0,0 +1,34 @@
SELECT MIN(mi.info) AS movie_budget,
MIN(mi_idx.info) AS movie_votes,
MIN(t.title) AS movie_title
FROM cast_info AS ci,
info_type AS it1,
info_type AS it2,
movie_info AS mi,
movie_info_idx AS mi_idx,
name AS n,
title AS t
WHERE ci.note IN ('(writer)',
'(head writer)',
'(written by)',
'(story)',
'(story editor)')
AND it1.info = 'genres'
AND it2.info = 'rating'
AND mi.info IN ('Horror',
'Thriller')
AND mi.note IS NULL
AND mi_idx.info > '8.0'
AND n.gender IS NOT NULL
AND n.gender = 'f'
AND t.production_year BETWEEN 2008 AND 2014
AND t.id = mi.movie_id
AND t.id = mi_idx.movie_id
AND t.id = ci.movie_id
AND ci.movie_id = mi.movie_id
AND ci.movie_id = mi_idx.movie_id
AND mi.movie_id = mi_idx.movie_id
AND n.id = ci.person_id
AND it1.id = mi.info_type_id
AND it2.id = mi_idx.info_type_id;

34
external/duckdb/benchmark/imdb_plan_cost/queries/18c.sql vendored Normal file
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@@ -0,0 +1,34 @@
SELECT MIN(mi.info) AS movie_budget,
MIN(mi_idx.info) AS movie_votes,
MIN(t.title) AS movie_title
FROM cast_info AS ci,
info_type AS it1,
info_type AS it2,
movie_info AS mi,
movie_info_idx AS mi_idx,
name AS n,
title AS t
WHERE ci.note IN ('(writer)',
'(head writer)',
'(written by)',
'(story)',
'(story editor)')
AND it1.info = 'genres'
AND it2.info = 'votes'
AND mi.info IN ('Horror',
'Action',
'Sci-Fi',
'Thriller',
'Crime',
'War')
AND n.gender = 'm'
AND t.id = mi.movie_id
AND t.id = mi_idx.movie_id
AND t.id = ci.movie_id
AND ci.movie_id = mi.movie_id
AND ci.movie_id = mi_idx.movie_id
AND mi.movie_id = mi_idx.movie_id
AND n.id = ci.person_id
AND it1.id = mi.info_type_id
AND it2.id = mi_idx.info_type_id;

42
external/duckdb/benchmark/imdb_plan_cost/queries/19a.sql vendored Normal file
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@@ -0,0 +1,42 @@
SELECT MIN(n.name) AS voicing_actress,
MIN(t.title) AS voiced_movie
FROM aka_name AS an,
char_name AS chn,
cast_info AS ci,
company_name AS cn,
info_type AS it,
movie_companies AS mc,
movie_info AS mi,
name AS n,
role_type AS rt,
title AS t
WHERE ci.note IN ('(voice)',
'(voice: Japanese version)',
'(voice) (uncredited)',
'(voice: English version)')
AND cn.country_code ='[us]'
AND it.info = 'release dates'
AND mc.note IS NOT NULL
AND (mc.note LIKE '%(USA)%'
OR mc.note LIKE '%(worldwide)%')
AND mi.info IS NOT NULL
AND (mi.info LIKE 'Japan:%200%'
OR mi.info LIKE 'USA:%200%')
AND n.gender ='f'
AND n.name LIKE '%Ang%'
AND rt.role ='actress'
AND t.production_year BETWEEN 2005 AND 2009
AND t.id = mi.movie_id
AND t.id = mc.movie_id
AND t.id = ci.movie_id
AND mc.movie_id = ci.movie_id
AND mc.movie_id = mi.movie_id
AND mi.movie_id = ci.movie_id
AND cn.id = mc.company_id
AND it.id = mi.info_type_id
AND n.id = ci.person_id
AND rt.id = ci.role_id
AND n.id = an.person_id
AND ci.person_id = an.person_id
AND chn.id = ci.person_role_id;

40
external/duckdb/benchmark/imdb_plan_cost/queries/19b.sql vendored Normal file
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SELECT MIN(n.name) AS voicing_actress,
MIN(t.title) AS kung_fu_panda
FROM aka_name AS an,
char_name AS chn,
cast_info AS ci,
company_name AS cn,
info_type AS it,
movie_companies AS mc,
movie_info AS mi,
name AS n,
role_type AS rt,
title AS t
WHERE ci.note = '(voice)'
AND cn.country_code ='[us]'
AND it.info = 'release dates'
AND mc.note LIKE '%(200%)%'
AND (mc.note LIKE '%(USA)%'
OR mc.note LIKE '%(worldwide)%')
AND mi.info IS NOT NULL
AND (mi.info LIKE 'Japan:%2007%'
OR mi.info LIKE 'USA:%2008%')
AND n.gender ='f'
AND n.name LIKE '%Angel%'
AND rt.role ='actress'
AND t.production_year BETWEEN 2007 AND 2008
AND t.title LIKE '%Kung%Fu%Panda%'
AND t.id = mi.movie_id
AND t.id = mc.movie_id
AND t.id = ci.movie_id
AND mc.movie_id = ci.movie_id
AND mc.movie_id = mi.movie_id
AND mi.movie_id = ci.movie_id
AND cn.id = mc.company_id
AND it.id = mi.info_type_id
AND n.id = ci.person_id
AND rt.id = ci.role_id
AND n.id = an.person_id
AND ci.person_id = an.person_id
AND chn.id = ci.person_role_id;

39
external/duckdb/benchmark/imdb_plan_cost/queries/19c.sql vendored Normal file
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SELECT MIN(n.name) AS voicing_actress,
MIN(t.title) AS jap_engl_voiced_movie
FROM aka_name AS an,
char_name AS chn,
cast_info AS ci,
company_name AS cn,
info_type AS it,
movie_companies AS mc,
movie_info AS mi,
name AS n,
role_type AS rt,
title AS t
WHERE ci.note IN ('(voice)',
'(voice: Japanese version)',
'(voice) (uncredited)',
'(voice: English version)')
AND cn.country_code ='[us]'
AND it.info = 'release dates'
AND mi.info IS NOT NULL
AND (mi.info LIKE 'Japan:%200%'
OR mi.info LIKE 'USA:%200%')
AND n.gender ='f'
AND n.name LIKE '%An%'
AND rt.role ='actress'
AND t.production_year > 2000
AND t.id = mi.movie_id
AND t.id = mc.movie_id
AND t.id = ci.movie_id
AND mc.movie_id = ci.movie_id
AND mc.movie_id = mi.movie_id
AND mi.movie_id = ci.movie_id
AND cn.id = mc.company_id
AND it.id = mi.info_type_id
AND n.id = ci.person_id
AND rt.id = ci.role_id
AND n.id = an.person_id
AND ci.person_id = an.person_id
AND chn.id = ci.person_role_id;

35
external/duckdb/benchmark/imdb_plan_cost/queries/19d.sql vendored Normal file
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@@ -0,0 +1,35 @@
SELECT MIN(n.name) AS voicing_actress,
MIN(t.title) AS jap_engl_voiced_movie
FROM aka_name AS an,
char_name AS chn,
cast_info AS ci,
company_name AS cn,
info_type AS it,
movie_companies AS mc,
movie_info AS mi,
name AS n,
role_type AS rt,
title AS t
WHERE ci.note IN ('(voice)',
'(voice: Japanese version)',
'(voice) (uncredited)',
'(voice: English version)')
AND cn.country_code ='[us]'
AND it.info = 'release dates'
AND n.gender ='f'
AND rt.role ='actress'
AND t.production_year > 2000
AND t.id = mi.movie_id
AND t.id = mc.movie_id
AND t.id = ci.movie_id
AND mc.movie_id = ci.movie_id
AND mc.movie_id = mi.movie_id
AND mi.movie_id = ci.movie_id
AND cn.id = mc.company_id
AND it.id = mi.info_type_id
AND n.id = ci.person_id
AND rt.id = ci.role_id
AND n.id = an.person_id
AND ci.person_id = an.person_id
AND chn.id = ci.person_role_id;

39
external/duckdb/benchmark/imdb_plan_cost/queries/20a.sql vendored Normal file
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SELECT MIN(t.title) AS complete_downey_ironman_movie
FROM complete_cast AS cc,
comp_cast_type AS cct1,
comp_cast_type AS cct2,
char_name AS chn,
cast_info AS ci,
keyword AS k,
kind_type AS kt,
movie_keyword AS mk,
name AS n,
title AS t
WHERE cct1.kind = 'cast'
AND cct2.kind LIKE '%complete%'
AND chn.name NOT LIKE '%Sherlock%'
AND (chn.name LIKE '%Tony%Stark%'
OR chn.name LIKE '%Iron%Man%')
AND k.keyword IN ('superhero',
'sequel',
'second-part',
'marvel-comics',
'based-on-comic',
'tv-special',
'fight',
'violence')
AND kt.kind = 'movie'
AND t.production_year > 1950
AND kt.id = t.kind_id
AND t.id = mk.movie_id
AND t.id = ci.movie_id
AND t.id = cc.movie_id
AND mk.movie_id = ci.movie_id
AND mk.movie_id = cc.movie_id
AND ci.movie_id = cc.movie_id
AND chn.id = ci.person_role_id
AND n.id = ci.person_id
AND k.id = mk.keyword_id
AND cct1.id = cc.subject_id
AND cct2.id = cc.status_id;

40
external/duckdb/benchmark/imdb_plan_cost/queries/20b.sql vendored Normal file
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@@ -0,0 +1,40 @@
SELECT MIN(t.title) AS complete_downey_ironman_movie
FROM complete_cast AS cc,
comp_cast_type AS cct1,
comp_cast_type AS cct2,
char_name AS chn,
cast_info AS ci,
keyword AS k,
kind_type AS kt,
movie_keyword AS mk,
name AS n,
title AS t
WHERE cct1.kind = 'cast'
AND cct2.kind LIKE '%complete%'
AND chn.name NOT LIKE '%Sherlock%'
AND (chn.name LIKE '%Tony%Stark%'
OR chn.name LIKE '%Iron%Man%')
AND k.keyword IN ('superhero',
'sequel',
'second-part',
'marvel-comics',
'based-on-comic',
'tv-special',
'fight',
'violence')
AND kt.kind = 'movie'
AND n.name LIKE '%Downey%Robert%'
AND t.production_year > 2000
AND kt.id = t.kind_id
AND t.id = mk.movie_id
AND t.id = ci.movie_id
AND t.id = cc.movie_id
AND mk.movie_id = ci.movie_id
AND mk.movie_id = cc.movie_id
AND ci.movie_id = cc.movie_id
AND chn.id = ci.person_role_id
AND n.id = ci.person_id
AND k.id = mk.keyword_id
AND cct1.id = cc.subject_id
AND cct2.id = cc.status_id;

42
external/duckdb/benchmark/imdb_plan_cost/queries/20c.sql vendored Normal file
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@@ -0,0 +1,42 @@
SELECT MIN(n.name) AS cast_member,
MIN(t.title) AS complete_dynamic_hero_movie
FROM complete_cast AS cc,
comp_cast_type AS cct1,
comp_cast_type AS cct2,
char_name AS chn,
cast_info AS ci,
keyword AS k,
kind_type AS kt,
movie_keyword AS mk,
name AS n,
title AS t
WHERE cct1.kind = 'cast'
AND cct2.kind LIKE '%complete%'
AND chn.name IS NOT NULL
AND (chn.name LIKE '%man%'
OR chn.name LIKE '%Man%')
AND k.keyword IN ('superhero',
'marvel-comics',
'based-on-comic',
'tv-special',
'fight',
'violence',
'magnet',
'web',
'claw',
'laser')
AND kt.kind = 'movie'
AND t.production_year > 2000
AND kt.id = t.kind_id
AND t.id = mk.movie_id
AND t.id = ci.movie_id
AND t.id = cc.movie_id
AND mk.movie_id = ci.movie_id
AND mk.movie_id = cc.movie_id
AND ci.movie_id = cc.movie_id
AND chn.id = ci.person_role_id
AND n.id = ci.person_id
AND k.id = mk.keyword_id
AND cct1.id = cc.subject_id
AND cct2.id = cc.status_id;

43
external/duckdb/benchmark/imdb_plan_cost/queries/21a.sql vendored Normal file
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@@ -0,0 +1,43 @@
SELECT MIN(cn.name) AS company_name,
MIN(lt.link) AS link_type,
MIN(t.title) AS western_follow_up
FROM company_name AS cn,
company_type AS ct,
keyword AS k,
link_type AS lt,
movie_companies AS mc,
movie_info AS mi,
movie_keyword AS mk,
movie_link AS ml,
title AS t
WHERE cn.country_code !='[pl]'
AND (cn.name LIKE '%Film%'
OR cn.name LIKE '%Warner%')
AND ct.kind ='production companies'
AND k.keyword ='sequel'
AND lt.link LIKE '%follow%'
AND mc.note IS NULL
AND mi.info IN ('Sweden',
'Norway',
'Germany',
'Denmark',
'Swedish',
'Denish',
'Norwegian',
'German')
AND t.production_year BETWEEN 1950 AND 2000
AND lt.id = ml.link_type_id
AND ml.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_type_id = ct.id
AND mc.company_id = cn.id
AND mi.movie_id = t.id
AND ml.movie_id = mk.movie_id
AND ml.movie_id = mc.movie_id
AND mk.movie_id = mc.movie_id
AND ml.movie_id = mi.movie_id
AND mk.movie_id = mi.movie_id
AND mc.movie_id = mi.movie_id;

37
external/duckdb/benchmark/imdb_plan_cost/queries/21b.sql vendored Normal file
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@@ -0,0 +1,37 @@
SELECT MIN(cn.name) AS company_name,
MIN(lt.link) AS link_type,
MIN(t.title) AS german_follow_up
FROM company_name AS cn,
company_type AS ct,
keyword AS k,
link_type AS lt,
movie_companies AS mc,
movie_info AS mi,
movie_keyword AS mk,
movie_link AS ml,
title AS t
WHERE cn.country_code !='[pl]'
AND (cn.name LIKE '%Film%'
OR cn.name LIKE '%Warner%')
AND ct.kind ='production companies'
AND k.keyword ='sequel'
AND lt.link LIKE '%follow%'
AND mc.note IS NULL
AND mi.info IN ('Germany',
'German')
AND t.production_year BETWEEN 2000 AND 2010
AND lt.id = ml.link_type_id
AND ml.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_type_id = ct.id
AND mc.company_id = cn.id
AND mi.movie_id = t.id
AND ml.movie_id = mk.movie_id
AND ml.movie_id = mc.movie_id
AND mk.movie_id = mc.movie_id
AND ml.movie_id = mi.movie_id
AND mk.movie_id = mi.movie_id
AND mc.movie_id = mi.movie_id;

44
external/duckdb/benchmark/imdb_plan_cost/queries/21c.sql vendored Normal file
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@@ -0,0 +1,44 @@
SELECT MIN(cn.name) AS company_name,
MIN(lt.link) AS link_type,
MIN(t.title) AS western_follow_up
FROM company_name AS cn,
company_type AS ct,
keyword AS k,
link_type AS lt,
movie_companies AS mc,
movie_info AS mi,
movie_keyword AS mk,
movie_link AS ml,
title AS t
WHERE cn.country_code !='[pl]'
AND (cn.name LIKE '%Film%'
OR cn.name LIKE '%Warner%')
AND ct.kind ='production companies'
AND k.keyword ='sequel'
AND lt.link LIKE '%follow%'
AND mc.note IS NULL
AND mi.info IN ('Sweden',
'Norway',
'Germany',
'Denmark',
'Swedish',
'Denish',
'Norwegian',
'German',
'English')
AND t.production_year BETWEEN 1950 AND 2010
AND lt.id = ml.link_type_id
AND ml.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_type_id = ct.id
AND mc.company_id = cn.id
AND mi.movie_id = t.id
AND ml.movie_id = mk.movie_id
AND ml.movie_id = mc.movie_id
AND mk.movie_id = mc.movie_id
AND ml.movie_id = mi.movie_id
AND mk.movie_id = mi.movie_id
AND mc.movie_id = mi.movie_id;

48
external/duckdb/benchmark/imdb_plan_cost/queries/22a.sql vendored Normal file
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@@ -0,0 +1,48 @@
SELECT MIN(cn.name) AS movie_company,
MIN(mi_idx.info) AS rating,
MIN(t.title) AS western_violent_movie
FROM company_name AS cn,
company_type AS ct,
info_type AS it1,
info_type AS it2,
keyword AS k,
kind_type AS kt,
movie_companies AS mc,
movie_info AS mi,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
title AS t
WHERE cn.country_code != '[us]'
AND it1.info = 'countries'
AND it2.info = 'rating'
AND k.keyword IN ('murder',
'murder-in-title',
'blood',
'violence')
AND kt.kind IN ('movie',
'episode')
AND mc.note NOT LIKE '%(USA)%'
AND mc.note LIKE '%(200%)%'
AND mi.info IN ('Germany',
'German',
'USA',
'American')
AND mi_idx.info < '7.0'
AND t.production_year > 2008
AND kt.id = t.kind_id
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND t.id = mi_idx.movie_id
AND t.id = mc.movie_id
AND mk.movie_id = mi.movie_id
AND mk.movie_id = mi_idx.movie_id
AND mk.movie_id = mc.movie_id
AND mi.movie_id = mi_idx.movie_id
AND mi.movie_id = mc.movie_id
AND mc.movie_id = mi_idx.movie_id
AND k.id = mk.keyword_id
AND it1.id = mi.info_type_id
AND it2.id = mi_idx.info_type_id
AND ct.id = mc.company_type_id
AND cn.id = mc.company_id;

48
external/duckdb/benchmark/imdb_plan_cost/queries/22b.sql vendored Normal file
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@@ -0,0 +1,48 @@
SELECT MIN(cn.name) AS movie_company,
MIN(mi_idx.info) AS rating,
MIN(t.title) AS western_violent_movie
FROM company_name AS cn,
company_type AS ct,
info_type AS it1,
info_type AS it2,
keyword AS k,
kind_type AS kt,
movie_companies AS mc,
movie_info AS mi,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
title AS t
WHERE cn.country_code != '[us]'
AND it1.info = 'countries'
AND it2.info = 'rating'
AND k.keyword IN ('murder',
'murder-in-title',
'blood',
'violence')
AND kt.kind IN ('movie',
'episode')
AND mc.note NOT LIKE '%(USA)%'
AND mc.note LIKE '%(200%)%'
AND mi.info IN ('Germany',
'German',
'USA',
'American')
AND mi_idx.info < '7.0'
AND t.production_year > 2009
AND kt.id = t.kind_id
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND t.id = mi_idx.movie_id
AND t.id = mc.movie_id
AND mk.movie_id = mi.movie_id
AND mk.movie_id = mi_idx.movie_id
AND mk.movie_id = mc.movie_id
AND mi.movie_id = mi_idx.movie_id
AND mi.movie_id = mc.movie_id
AND mc.movie_id = mi_idx.movie_id
AND k.id = mk.keyword_id
AND it1.id = mi.info_type_id
AND it2.id = mi_idx.info_type_id
AND ct.id = mc.company_type_id
AND cn.id = mc.company_id;

54
external/duckdb/benchmark/imdb_plan_cost/queries/22c.sql vendored Normal file
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@@ -0,0 +1,54 @@
SELECT MIN(cn.name) AS movie_company,
MIN(mi_idx.info) AS rating,
MIN(t.title) AS western_violent_movie
FROM company_name AS cn,
company_type AS ct,
info_type AS it1,
info_type AS it2,
keyword AS k,
kind_type AS kt,
movie_companies AS mc,
movie_info AS mi,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
title AS t
WHERE cn.country_code != '[us]'
AND it1.info = 'countries'
AND it2.info = 'rating'
AND k.keyword IN ('murder',
'murder-in-title',
'blood',
'violence')
AND kt.kind IN ('movie',
'episode')
AND mc.note NOT LIKE '%(USA)%'
AND mc.note LIKE '%(200%)%'
AND mi.info IN ('Sweden',
'Norway',
'Germany',
'Denmark',
'Swedish',
'Danish',
'Norwegian',
'German',
'USA',
'American')
AND mi_idx.info < '8.5'
AND t.production_year > 2005
AND kt.id = t.kind_id
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND t.id = mi_idx.movie_id
AND t.id = mc.movie_id
AND mk.movie_id = mi.movie_id
AND mk.movie_id = mi_idx.movie_id
AND mk.movie_id = mc.movie_id
AND mi.movie_id = mi_idx.movie_id
AND mi.movie_id = mc.movie_id
AND mc.movie_id = mi_idx.movie_id
AND k.id = mk.keyword_id
AND it1.id = mi.info_type_id
AND it2.id = mi_idx.info_type_id
AND ct.id = mc.company_type_id
AND cn.id = mc.company_id;

52
external/duckdb/benchmark/imdb_plan_cost/queries/22d.sql vendored Normal file
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@@ -0,0 +1,52 @@
SELECT MIN(cn.name) AS movie_company,
MIN(mi_idx.info) AS rating,
MIN(t.title) AS western_violent_movie
FROM company_name AS cn,
company_type AS ct,
info_type AS it1,
info_type AS it2,
keyword AS k,
kind_type AS kt,
movie_companies AS mc,
movie_info AS mi,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
title AS t
WHERE cn.country_code != '[us]'
AND it1.info = 'countries'
AND it2.info = 'rating'
AND k.keyword IN ('murder',
'murder-in-title',
'blood',
'violence')
AND kt.kind IN ('movie',
'episode')
AND mi.info IN ('Sweden',
'Norway',
'Germany',
'Denmark',
'Swedish',
'Danish',
'Norwegian',
'German',
'USA',
'American')
AND mi_idx.info < '8.5'
AND t.production_year > 2005
AND kt.id = t.kind_id
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND t.id = mi_idx.movie_id
AND t.id = mc.movie_id
AND mk.movie_id = mi.movie_id
AND mk.movie_id = mi_idx.movie_id
AND mk.movie_id = mc.movie_id
AND mi.movie_id = mi_idx.movie_id
AND mi.movie_id = mc.movie_id
AND mc.movie_id = mi_idx.movie_id
AND k.id = mk.keyword_id
AND it1.id = mi.info_type_id
AND it2.id = mi_idx.info_type_id
AND ct.id = mc.company_type_id
AND cn.id = mc.company_id;

39
external/duckdb/benchmark/imdb_plan_cost/queries/23a.sql vendored Normal file
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@@ -0,0 +1,39 @@
SELECT MIN(kt.kind) AS movie_kind,
MIN(t.title) AS complete_us_internet_movie
FROM complete_cast AS cc,
comp_cast_type AS cct1,
company_name AS cn,
company_type AS ct,
info_type AS it1,
keyword AS k,
kind_type AS kt,
movie_companies AS mc,
movie_info AS mi,
movie_keyword AS mk,
title AS t
WHERE cct1.kind = 'complete+verified'
AND cn.country_code = '[us]'
AND it1.info = 'release dates'
AND kt.kind IN ('movie')
AND mi.note LIKE '%internet%'
AND mi.info IS NOT NULL
AND (mi.info LIKE 'USA:% 199%'
OR mi.info LIKE 'USA:% 200%')
AND t.production_year > 2000
AND kt.id = t.kind_id
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND t.id = mc.movie_id
AND t.id = cc.movie_id
AND mk.movie_id = mi.movie_id
AND mk.movie_id = mc.movie_id
AND mk.movie_id = cc.movie_id
AND mi.movie_id = mc.movie_id
AND mi.movie_id = cc.movie_id
AND mc.movie_id = cc.movie_id
AND k.id = mk.keyword_id
AND it1.id = mi.info_type_id
AND cn.id = mc.company_id
AND ct.id = mc.company_type_id
AND cct1.id = cc.status_id;

41
external/duckdb/benchmark/imdb_plan_cost/queries/23b.sql vendored Normal file
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@@ -0,0 +1,41 @@
SELECT MIN(kt.kind) AS movie_kind,
MIN(t.title) AS complete_nerdy_internet_movie
FROM complete_cast AS cc,
comp_cast_type AS cct1,
company_name AS cn,
company_type AS ct,
info_type AS it1,
keyword AS k,
kind_type AS kt,
movie_companies AS mc,
movie_info AS mi,
movie_keyword AS mk,
title AS t
WHERE cct1.kind = 'complete+verified'
AND cn.country_code = '[us]'
AND it1.info = 'release dates'
AND k.keyword IN ('nerd',
'loner',
'alienation',
'dignity')
AND kt.kind IN ('movie')
AND mi.note LIKE '%internet%'
AND mi.info LIKE 'USA:% 200%'
AND t.production_year > 2000
AND kt.id = t.kind_id
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND t.id = mc.movie_id
AND t.id = cc.movie_id
AND mk.movie_id = mi.movie_id
AND mk.movie_id = mc.movie_id
AND mk.movie_id = cc.movie_id
AND mi.movie_id = mc.movie_id
AND mi.movie_id = cc.movie_id
AND mc.movie_id = cc.movie_id
AND k.id = mk.keyword_id
AND it1.id = mi.info_type_id
AND cn.id = mc.company_id
AND ct.id = mc.company_type_id
AND cct1.id = cc.status_id;

42
external/duckdb/benchmark/imdb_plan_cost/queries/23c.sql vendored Normal file
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@@ -0,0 +1,42 @@
SELECT MIN(kt.kind) AS movie_kind,
MIN(t.title) AS complete_us_internet_movie
FROM complete_cast AS cc,
comp_cast_type AS cct1,
company_name AS cn,
company_type AS ct,
info_type AS it1,
keyword AS k,
kind_type AS kt,
movie_companies AS mc,
movie_info AS mi,
movie_keyword AS mk,
title AS t
WHERE cct1.kind = 'complete+verified'
AND cn.country_code = '[us]'
AND it1.info = 'release dates'
AND kt.kind IN ('movie',
'tv movie',
'video movie',
'video game')
AND mi.note LIKE '%internet%'
AND mi.info IS NOT NULL
AND (mi.info LIKE 'USA:% 199%'
OR mi.info LIKE 'USA:% 200%')
AND t.production_year > 1990
AND kt.id = t.kind_id
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND t.id = mc.movie_id
AND t.id = cc.movie_id
AND mk.movie_id = mi.movie_id
AND mk.movie_id = mc.movie_id
AND mk.movie_id = cc.movie_id
AND mi.movie_id = mc.movie_id
AND mi.movie_id = cc.movie_id
AND mc.movie_id = cc.movie_id
AND k.id = mk.keyword_id
AND it1.id = mi.info_type_id
AND cn.id = mc.company_id
AND ct.id = mc.company_type_id
AND cct1.id = cc.status_id;

50
external/duckdb/benchmark/imdb_plan_cost/queries/24a.sql vendored Normal file
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SELECT MIN(chn.name) AS voiced_char_name,
MIN(n.name) AS voicing_actress_name,
MIN(t.title) AS voiced_action_movie_jap_eng
FROM aka_name AS an,
char_name AS chn,
cast_info AS ci,
company_name AS cn,
info_type AS it,
keyword AS k,
movie_companies AS mc,
movie_info AS mi,
movie_keyword AS mk,
name AS n,
role_type AS rt,
title AS t
WHERE ci.note IN ('(voice)',
'(voice: Japanese version)',
'(voice) (uncredited)',
'(voice: English version)')
AND cn.country_code ='[us]'
AND it.info = 'release dates'
AND k.keyword IN ('hero',
'martial-arts',
'hand-to-hand-combat')
AND mi.info IS NOT NULL
AND (mi.info LIKE 'Japan:%201%'
OR mi.info LIKE 'USA:%201%')
AND n.gender ='f'
AND n.name LIKE '%An%'
AND rt.role ='actress'
AND t.production_year > 2010
AND t.id = mi.movie_id
AND t.id = mc.movie_id
AND t.id = ci.movie_id
AND t.id = mk.movie_id
AND mc.movie_id = ci.movie_id
AND mc.movie_id = mi.movie_id
AND mc.movie_id = mk.movie_id
AND mi.movie_id = ci.movie_id
AND mi.movie_id = mk.movie_id
AND ci.movie_id = mk.movie_id
AND cn.id = mc.company_id
AND it.id = mi.info_type_id
AND n.id = ci.person_id
AND rt.id = ci.role_id
AND n.id = an.person_id
AND ci.person_id = an.person_id
AND chn.id = ci.person_role_id
AND k.id = mk.keyword_id;

53
external/duckdb/benchmark/imdb_plan_cost/queries/24b.sql vendored Normal file
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SELECT MIN(chn.name) AS voiced_char_name,
MIN(n.name) AS voicing_actress_name,
MIN(t.title) AS kung_fu_panda
FROM aka_name AS an,
char_name AS chn,
cast_info AS ci,
company_name AS cn,
info_type AS it,
keyword AS k,
movie_companies AS mc,
movie_info AS mi,
movie_keyword AS mk,
name AS n,
role_type AS rt,
title AS t
WHERE ci.note IN ('(voice)',
'(voice: Japanese version)',
'(voice) (uncredited)',
'(voice: English version)')
AND cn.country_code ='[us]'
AND cn.name = 'DreamWorks Animation'
AND it.info = 'release dates'
AND k.keyword IN ('hero',
'martial-arts',
'hand-to-hand-combat',
'computer-animated-movie')
AND mi.info IS NOT NULL
AND (mi.info LIKE 'Japan:%201%'
OR mi.info LIKE 'USA:%201%')
AND n.gender ='f'
AND n.name LIKE '%An%'
AND rt.role ='actress'
AND t.production_year > 2010
AND t.title LIKE 'Kung Fu Panda%'
AND t.id = mi.movie_id
AND t.id = mc.movie_id
AND t.id = ci.movie_id
AND t.id = mk.movie_id
AND mc.movie_id = ci.movie_id
AND mc.movie_id = mi.movie_id
AND mc.movie_id = mk.movie_id
AND mi.movie_id = ci.movie_id
AND mi.movie_id = mk.movie_id
AND ci.movie_id = mk.movie_id
AND cn.id = mc.company_id
AND it.id = mi.info_type_id
AND n.id = ci.person_id
AND rt.id = ci.role_id
AND n.id = an.person_id
AND ci.person_id = an.person_id
AND chn.id = ci.person_role_id
AND k.id = mk.keyword_id;

42
external/duckdb/benchmark/imdb_plan_cost/queries/25a.sql vendored Normal file
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SELECT MIN(mi.info) AS movie_budget,
MIN(mi_idx.info) AS movie_votes,
MIN(n.name) AS male_writer,
MIN(t.title) AS violent_movie_title
FROM cast_info AS ci,
info_type AS it1,
info_type AS it2,
keyword AS k,
movie_info AS mi,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
name AS n,
title AS t
WHERE ci.note IN ('(writer)',
'(head writer)',
'(written by)',
'(story)',
'(story editor)')
AND it1.info = 'genres'
AND it2.info = 'votes'
AND k.keyword IN ('murder',
'blood',
'gore',
'death',
'female-nudity')
AND mi.info = 'Horror'
AND n.gender = 'm'
AND t.id = mi.movie_id
AND t.id = mi_idx.movie_id
AND t.id = ci.movie_id
AND t.id = mk.movie_id
AND ci.movie_id = mi.movie_id
AND ci.movie_id = mi_idx.movie_id
AND ci.movie_id = mk.movie_id
AND mi.movie_id = mi_idx.movie_id
AND mi.movie_id = mk.movie_id
AND mi_idx.movie_id = mk.movie_id
AND n.id = ci.person_id
AND it1.id = mi.info_type_id
AND it2.id = mi_idx.info_type_id
AND k.id = mk.keyword_id;

44
external/duckdb/benchmark/imdb_plan_cost/queries/25b.sql vendored Normal file
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SELECT MIN(mi.info) AS movie_budget,
MIN(mi_idx.info) AS movie_votes,
MIN(n.name) AS male_writer,
MIN(t.title) AS violent_movie_title
FROM cast_info AS ci,
info_type AS it1,
info_type AS it2,
keyword AS k,
movie_info AS mi,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
name AS n,
title AS t
WHERE ci.note IN ('(writer)',
'(head writer)',
'(written by)',
'(story)',
'(story editor)')
AND it1.info = 'genres'
AND it2.info = 'votes'
AND k.keyword IN ('murder',
'blood',
'gore',
'death',
'female-nudity')
AND mi.info = 'Horror'
AND n.gender = 'm'
AND t.production_year > 2010
AND t.title LIKE 'Vampire%'
AND t.id = mi.movie_id
AND t.id = mi_idx.movie_id
AND t.id = ci.movie_id
AND t.id = mk.movie_id
AND ci.movie_id = mi.movie_id
AND ci.movie_id = mi_idx.movie_id
AND ci.movie_id = mk.movie_id
AND mi.movie_id = mi_idx.movie_id
AND mi.movie_id = mk.movie_id
AND mi_idx.movie_id = mk.movie_id
AND n.id = ci.person_id
AND it1.id = mi.info_type_id
AND it2.id = mi_idx.info_type_id
AND k.id = mk.keyword_id;

49
external/duckdb/benchmark/imdb_plan_cost/queries/25c.sql vendored Normal file
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SELECT MIN(mi.info) AS movie_budget,
MIN(mi_idx.info) AS movie_votes,
MIN(n.name) AS male_writer,
MIN(t.title) AS violent_movie_title
FROM cast_info AS ci,
info_type AS it1,
info_type AS it2,
keyword AS k,
movie_info AS mi,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
name AS n,
title AS t
WHERE ci.note IN ('(writer)',
'(head writer)',
'(written by)',
'(story)',
'(story editor)')
AND it1.info = 'genres'
AND it2.info = 'votes'
AND k.keyword IN ('murder',
'violence',
'blood',
'gore',
'death',
'female-nudity',
'hospital')
AND mi.info IN ('Horror',
'Action',
'Sci-Fi',
'Thriller',
'Crime',
'War')
AND n.gender = 'm'
AND t.id = mi.movie_id
AND t.id = mi_idx.movie_id
AND t.id = ci.movie_id
AND t.id = mk.movie_id
AND ci.movie_id = mi.movie_id
AND ci.movie_id = mi_idx.movie_id
AND ci.movie_id = mk.movie_id
AND mi.movie_id = mi_idx.movie_id
AND mi.movie_id = mk.movie_id
AND mi_idx.movie_id = mk.movie_id
AND n.id = ci.person_id
AND it1.id = mi.info_type_id
AND it2.id = mi_idx.info_type_id
AND k.id = mk.keyword_id;

53
external/duckdb/benchmark/imdb_plan_cost/queries/26a.sql vendored Normal file
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SELECT MIN(chn.name) AS character_name,
MIN(mi_idx.info) AS rating,
MIN(n.name) AS playing_actor,
MIN(t.title) AS complete_hero_movie
FROM complete_cast AS cc,
comp_cast_type AS cct1,
comp_cast_type AS cct2,
char_name AS chn,
cast_info AS ci,
info_type AS it2,
keyword AS k,
kind_type AS kt,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
name AS n,
title AS t
WHERE cct1.kind = 'cast'
AND cct2.kind LIKE '%complete%'
AND chn.name IS NOT NULL
AND (chn.name LIKE '%man%'
OR chn.name LIKE '%Man%')
AND it2.info = 'rating'
AND k.keyword IN ('superhero',
'marvel-comics',
'based-on-comic',
'tv-special',
'fight',
'violence',
'magnet',
'web',
'claw',
'laser')
AND kt.kind = 'movie'
AND mi_idx.info > '7.0'
AND t.production_year > 2000
AND kt.id = t.kind_id
AND t.id = mk.movie_id
AND t.id = ci.movie_id
AND t.id = cc.movie_id
AND t.id = mi_idx.movie_id
AND mk.movie_id = ci.movie_id
AND mk.movie_id = cc.movie_id
AND mk.movie_id = mi_idx.movie_id
AND ci.movie_id = cc.movie_id
AND ci.movie_id = mi_idx.movie_id
AND cc.movie_id = mi_idx.movie_id
AND chn.id = ci.person_role_id
AND n.id = ci.person_id
AND k.id = mk.keyword_id
AND cct1.id = cc.subject_id
AND cct2.id = cc.status_id
AND it2.id = mi_idx.info_type_id;

46
external/duckdb/benchmark/imdb_plan_cost/queries/26b.sql vendored Normal file
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SELECT MIN(chn.name) AS character_name,
MIN(mi_idx.info) AS rating,
MIN(t.title) AS complete_hero_movie
FROM complete_cast AS cc,
comp_cast_type AS cct1,
comp_cast_type AS cct2,
char_name AS chn,
cast_info AS ci,
info_type AS it2,
keyword AS k,
kind_type AS kt,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
name AS n,
title AS t
WHERE cct1.kind = 'cast'
AND cct2.kind LIKE '%complete%'
AND chn.name IS NOT NULL
AND (chn.name LIKE '%man%'
OR chn.name LIKE '%Man%')
AND it2.info = 'rating'
AND k.keyword IN ('superhero',
'marvel-comics',
'based-on-comic',
'fight')
AND kt.kind = 'movie'
AND mi_idx.info > '8.0'
AND t.production_year > 2005
AND kt.id = t.kind_id
AND t.id = mk.movie_id
AND t.id = ci.movie_id
AND t.id = cc.movie_id
AND t.id = mi_idx.movie_id
AND mk.movie_id = ci.movie_id
AND mk.movie_id = cc.movie_id
AND mk.movie_id = mi_idx.movie_id
AND ci.movie_id = cc.movie_id
AND ci.movie_id = mi_idx.movie_id
AND cc.movie_id = mi_idx.movie_id
AND chn.id = ci.person_role_id
AND n.id = ci.person_id
AND k.id = mk.keyword_id
AND cct1.id = cc.subject_id
AND cct2.id = cc.status_id
AND it2.id = mi_idx.info_type_id;

51
external/duckdb/benchmark/imdb_plan_cost/queries/26c.sql vendored Normal file
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SELECT MIN(chn.name) AS character_name,
MIN(mi_idx.info) AS rating,
MIN(t.title) AS complete_hero_movie
FROM complete_cast AS cc,
comp_cast_type AS cct1,
comp_cast_type AS cct2,
char_name AS chn,
cast_info AS ci,
info_type AS it2,
keyword AS k,
kind_type AS kt,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
name AS n,
title AS t
WHERE cct1.kind = 'cast'
AND cct2.kind LIKE '%complete%'
AND chn.name IS NOT NULL
AND (chn.name LIKE '%man%'
OR chn.name LIKE '%Man%')
AND it2.info = 'rating'
AND k.keyword IN ('superhero',
'marvel-comics',
'based-on-comic',
'tv-special',
'fight',
'violence',
'magnet',
'web',
'claw',
'laser')
AND kt.kind = 'movie'
AND t.production_year > 2000
AND kt.id = t.kind_id
AND t.id = mk.movie_id
AND t.id = ci.movie_id
AND t.id = cc.movie_id
AND t.id = mi_idx.movie_id
AND mk.movie_id = ci.movie_id
AND mk.movie_id = cc.movie_id
AND mk.movie_id = mi_idx.movie_id
AND ci.movie_id = cc.movie_id
AND ci.movie_id = mi_idx.movie_id
AND cc.movie_id = mi_idx.movie_id
AND chn.id = ci.person_role_id
AND n.id = ci.person_id
AND k.id = mk.keyword_id
AND cct1.id = cc.subject_id
AND cct2.id = cc.status_id
AND it2.id = mi_idx.info_type_id;

52
external/duckdb/benchmark/imdb_plan_cost/queries/27a.sql vendored Normal file
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SELECT MIN(cn.name) AS producing_company,
MIN(lt.link) AS link_type,
MIN(t.title) AS complete_western_sequel
FROM complete_cast AS cc,
comp_cast_type AS cct1,
comp_cast_type AS cct2,
company_name AS cn,
company_type AS ct,
keyword AS k,
link_type AS lt,
movie_companies AS mc,
movie_info AS mi,
movie_keyword AS mk,
movie_link AS ml,
title AS t
WHERE cct1.kind IN ('cast',
'crew')
AND cct2.kind = 'complete'
AND cn.country_code !='[pl]'
AND (cn.name LIKE '%Film%'
OR cn.name LIKE '%Warner%')
AND ct.kind ='production companies'
AND k.keyword ='sequel'
AND lt.link LIKE '%follow%'
AND mc.note IS NULL
AND mi.info IN ('Sweden',
'Germany',
'Swedish',
'German')
AND t.production_year BETWEEN 1950 AND 2000
AND lt.id = ml.link_type_id
AND ml.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_type_id = ct.id
AND mc.company_id = cn.id
AND mi.movie_id = t.id
AND t.id = cc.movie_id
AND cct1.id = cc.subject_id
AND cct2.id = cc.status_id
AND ml.movie_id = mk.movie_id
AND ml.movie_id = mc.movie_id
AND mk.movie_id = mc.movie_id
AND ml.movie_id = mi.movie_id
AND mk.movie_id = mi.movie_id
AND mc.movie_id = mi.movie_id
AND ml.movie_id = cc.movie_id
AND mk.movie_id = cc.movie_id
AND mc.movie_id = cc.movie_id
AND mi.movie_id = cc.movie_id;

52
external/duckdb/benchmark/imdb_plan_cost/queries/27b.sql vendored Normal file
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@@ -0,0 +1,52 @@
SELECT MIN(cn.name) AS producing_company,
MIN(lt.link) AS link_type,
MIN(t.title) AS complete_western_sequel
FROM complete_cast AS cc,
comp_cast_type AS cct1,
comp_cast_type AS cct2,
company_name AS cn,
company_type AS ct,
keyword AS k,
link_type AS lt,
movie_companies AS mc,
movie_info AS mi,
movie_keyword AS mk,
movie_link AS ml,
title AS t
WHERE cct1.kind IN ('cast',
'crew')
AND cct2.kind = 'complete'
AND cn.country_code !='[pl]'
AND (cn.name LIKE '%Film%'
OR cn.name LIKE '%Warner%')
AND ct.kind ='production companies'
AND k.keyword ='sequel'
AND lt.link LIKE '%follow%'
AND mc.note IS NULL
AND mi.info IN ('Sweden',
'Germany',
'Swedish',
'German')
AND t.production_year = 1998
AND lt.id = ml.link_type_id
AND ml.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_type_id = ct.id
AND mc.company_id = cn.id
AND mi.movie_id = t.id
AND t.id = cc.movie_id
AND cct1.id = cc.subject_id
AND cct2.id = cc.status_id
AND ml.movie_id = mk.movie_id
AND ml.movie_id = mc.movie_id
AND mk.movie_id = mc.movie_id
AND ml.movie_id = mi.movie_id
AND mk.movie_id = mi.movie_id
AND mc.movie_id = mi.movie_id
AND ml.movie_id = cc.movie_id
AND mk.movie_id = cc.movie_id
AND mc.movie_id = cc.movie_id
AND mi.movie_id = cc.movie_id;

56
external/duckdb/benchmark/imdb_plan_cost/queries/27c.sql vendored Normal file
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@@ -0,0 +1,56 @@
SELECT MIN(cn.name) AS producing_company,
MIN(lt.link) AS link_type,
MIN(t.title) AS complete_western_sequel
FROM complete_cast AS cc,
comp_cast_type AS cct1,
comp_cast_type AS cct2,
company_name AS cn,
company_type AS ct,
keyword AS k,
link_type AS lt,
movie_companies AS mc,
movie_info AS mi,
movie_keyword AS mk,
movie_link AS ml,
title AS t
WHERE cct1.kind = 'cast'
AND cct2.kind LIKE 'complete%'
AND cn.country_code !='[pl]'
AND (cn.name LIKE '%Film%'
OR cn.name LIKE '%Warner%')
AND ct.kind ='production companies'
AND k.keyword ='sequel'
AND lt.link LIKE '%follow%'
AND mc.note IS NULL
AND mi.info IN ('Sweden',
'Norway',
'Germany',
'Denmark',
'Swedish',
'Denish',
'Norwegian',
'German',
'English')
AND t.production_year BETWEEN 1950 AND 2010
AND lt.id = ml.link_type_id
AND ml.movie_id = t.id
AND t.id = mk.movie_id
AND mk.keyword_id = k.id
AND t.id = mc.movie_id
AND mc.company_type_id = ct.id
AND mc.company_id = cn.id
AND mi.movie_id = t.id
AND t.id = cc.movie_id
AND cct1.id = cc.subject_id
AND cct2.id = cc.status_id
AND ml.movie_id = mk.movie_id
AND ml.movie_id = mc.movie_id
AND mk.movie_id = mc.movie_id
AND ml.movie_id = mi.movie_id
AND mk.movie_id = mi.movie_id
AND mc.movie_id = mi.movie_id
AND ml.movie_id = cc.movie_id
AND mk.movie_id = cc.movie_id
AND mc.movie_id = cc.movie_id
AND mi.movie_id = cc.movie_id;

66
external/duckdb/benchmark/imdb_plan_cost/queries/28a.sql vendored Normal file
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@@ -0,0 +1,66 @@
SELECT MIN(cn.name) AS movie_company,
MIN(mi_idx.info) AS rating,
MIN(t.title) AS complete_euro_dark_movie
FROM complete_cast AS cc,
comp_cast_type AS cct1,
comp_cast_type AS cct2,
company_name AS cn,
company_type AS ct,
info_type AS it1,
info_type AS it2,
keyword AS k,
kind_type AS kt,
movie_companies AS mc,
movie_info AS mi,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
title AS t
WHERE cct1.kind = 'crew'
AND cct2.kind != 'complete+verified'
AND cn.country_code != '[us]'
AND it1.info = 'countries'
AND it2.info = 'rating'
AND k.keyword IN ('murder',
'murder-in-title',
'blood',
'violence')
AND kt.kind IN ('movie',
'episode')
AND mc.note NOT LIKE '%(USA)%'
AND mc.note LIKE '%(200%)%'
AND mi.info IN ('Sweden',
'Norway',
'Germany',
'Denmark',
'Swedish',
'Danish',
'Norwegian',
'German',
'USA',
'American')
AND mi_idx.info < '8.5'
AND t.production_year > 2000
AND kt.id = t.kind_id
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND t.id = mi_idx.movie_id
AND t.id = mc.movie_id
AND t.id = cc.movie_id
AND mk.movie_id = mi.movie_id
AND mk.movie_id = mi_idx.movie_id
AND mk.movie_id = mc.movie_id
AND mk.movie_id = cc.movie_id
AND mi.movie_id = mi_idx.movie_id
AND mi.movie_id = mc.movie_id
AND mi.movie_id = cc.movie_id
AND mc.movie_id = mi_idx.movie_id
AND mc.movie_id = cc.movie_id
AND mi_idx.movie_id = cc.movie_id
AND k.id = mk.keyword_id
AND it1.id = mi.info_type_id
AND it2.id = mi_idx.info_type_id
AND ct.id = mc.company_type_id
AND cn.id = mc.company_id
AND cct1.id = cc.subject_id
AND cct2.id = cc.status_id;

60
external/duckdb/benchmark/imdb_plan_cost/queries/28b.sql vendored Normal file
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@@ -0,0 +1,60 @@
SELECT MIN(cn.name) AS movie_company,
MIN(mi_idx.info) AS rating,
MIN(t.title) AS complete_euro_dark_movie
FROM complete_cast AS cc,
comp_cast_type AS cct1,
comp_cast_type AS cct2,
company_name AS cn,
company_type AS ct,
info_type AS it1,
info_type AS it2,
keyword AS k,
kind_type AS kt,
movie_companies AS mc,
movie_info AS mi,
movie_info_idx AS mi_idx,
movie_keyword AS mk,
title AS t
WHERE cct1.kind = 'crew'
AND cct2.kind != 'complete+verified'
AND cn.country_code != '[us]'
AND it1.info = 'countries'
AND it2.info = 'rating'
AND k.keyword IN ('murder',
'murder-in-title',
'blood',
'violence')
AND kt.kind IN ('movie',
'episode')
AND mc.note NOT LIKE '%(USA)%'
AND mc.note LIKE '%(200%)%'
AND mi.info IN ('Sweden',
'Germany',
'Swedish',
'German')
AND mi_idx.info > '6.5'
AND t.production_year > 2005
AND kt.id = t.kind_id
AND t.id = mi.movie_id
AND t.id = mk.movie_id
AND t.id = mi_idx.movie_id
AND t.id = mc.movie_id
AND t.id = cc.movie_id
AND mk.movie_id = mi.movie_id
AND mk.movie_id = mi_idx.movie_id
AND mk.movie_id = mc.movie_id
AND mk.movie_id = cc.movie_id
AND mi.movie_id = mi_idx.movie_id
AND mi.movie_id = mc.movie_id
AND mi.movie_id = cc.movie_id
AND mc.movie_id = mi_idx.movie_id
AND mc.movie_id = cc.movie_id
AND mi_idx.movie_id = cc.movie_id
AND k.id = mk.keyword_id
AND it1.id = mi.info_type_id
AND it2.id = mi_idx.info_type_id
AND ct.id = mc.company_type_id
AND cn.id = mc.company_id
AND cct1.id = cc.subject_id
AND cct2.id = cc.status_id;

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