forked from maroua-zbl/RL_with-LSTM_for_JOS
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Latency.json
99 lines (99 loc) · 86.8 KB
/
Latency.json
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
["SELECT MIN(cn.name) AS producing_company,\n MIN(miidx.info) AS rating,\n MIN(t.title) AS movie_about_winning\nFROM company_name AS cn,\n company_type AS ct,\n info_type AS it,\n info_type AS it2,\n kind_type AS kt,\n movie_companies AS mc,\n movie_info AS mi,\n movie_info_idx AS miidx,\n title AS t\nWHERE cn.country_code ='[us]'\n AND ct.kind ='production companies'\n AND it.info ='rating'\n AND it2.info ='release dates'\n AND kt.kind ='movie'\n AND t.title != ''\n AND (t.title LIKE 'Champion%'\n OR t.title LIKE 'Loser%')\n AND mi.movie_id = t.id\n AND it2.id = mi.info_type_id\n AND kt.id = t.kind_id\n AND mc.movie_id = t.id\n AND cn.id = mc.company_id\n AND ct.id = mc.company_type_id\n AND miidx.movie_id = t.id\n AND it.id = miidx.info_type_id\n AND mi.movie_id = miidx.movie_id\n AND mi.movie_id = mc.movie_id\n AND miidx.movie_id = mc.movie_id;\n\n", 4737.868]
["SELECT MIN(cn.name) AS movie_company,\n MIN(mi_idx.info) AS rating,\n MIN(t.title) AS drama_horror_movie\nFROM company_name AS cn,\n company_type AS ct,\n info_type AS it1,\n info_type AS it2,\n movie_companies AS mc,\n movie_info AS mi,\n movie_info_idx AS mi_idx,\n title AS t\nWHERE cn.country_code = '[us]'\n AND ct.kind = 'production companies'\n AND it1.info = 'genres'\n AND it2.info = 'rating'\n AND mi.info IN ('Drama',\n 'Horror')\n AND mi_idx.info > '8.0'\n AND t.production_year BETWEEN 2005 AND 2008\n AND t.id = mi.movie_id\n AND t.id = mi_idx.movie_id\n AND mi.info_type_id = it1.id\n AND mi_idx.info_type_id = it2.id\n AND t.id = mc.movie_id\n AND ct.id = mc.company_type_id\n AND cn.id = mc.company_id\n AND mc.movie_id = mi.movie_id\n AND mc.movie_id = mi_idx.movie_id\n AND mi.movie_id = mi_idx.movie_id;\n\n", 1360.264]
["SELECT MIN(n.name) AS voicing_actress,\n MIN(t.title) AS jap_engl_voiced_movie\nFROM aka_name AS an,\n char_name AS chn,\n cast_info AS ci,\n company_name AS cn,\n info_type AS it,\n movie_companies AS mc,\n movie_info AS mi,\n name AS n,\n role_type AS rt,\n title AS t\nWHERE ci.note IN ('(voice)',\n '(voice: Japanese version)',\n '(voice) (uncredited)',\n '(voice: English version)')\n AND cn.country_code ='[us]'\n AND it.info = 'release dates'\n AND mi.info IS NOT NULL\n AND (mi.info LIKE 'Japan:%200%'\n OR mi.info LIKE 'USA:%200%')\n AND n.gender ='f'\n AND n.name LIKE '%An%'\n AND rt.role ='actress'\n AND t.production_year > 2000\n AND t.id = mi.movie_id\n AND t.id = mc.movie_id\n AND t.id = ci.movie_id\n AND mc.movie_id = ci.movie_id\n AND mc.movie_id = mi.movie_id\n AND mi.movie_id = ci.movie_id\n AND cn.id = mc.company_id\n AND it.id = mi.info_type_id\n AND n.id = ci.person_id\n AND rt.id = ci.role_id\n AND n.id = an.person_id\n AND ci.person_id = an.person_id\n AND chn.id = ci.person_role_id;\n\n", 9664.969]
["select min(n.name) AS voicing_actress,\nmin(t.title) AS jap_engl_voiced_movie\nfrom aka_name AS an\ninner join cast_info AS ci\non ci.person_id = an.person_id AND ci.note IN ('(voice)',\n'(voice: Japanese version)',\n'(voice) (uncredited)',\n'(voice: English version)')\ninner join movie_companies AS mc\non mc.movie_id = ci.movie_id\ninner join name AS n\non n.id = ci.person_id AND n.id = an.person_id AND n.gender = 'f' AND n.name like '%An%'\ninner join title AS t\non t.id = ci.movie_id AND t.id = mc.movie_id AND t.production_year > 2000\ninner join char_name AS chn\non chn.id = ci.person_role_id\ninner join role_type AS rt\non rt.id = ci.role_id AND rt.role = 'actress'\ninner join movie_info AS mi\non t.id = mi.movie_id AND mi.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.info IS NOT NULL AND ( mi.info like 'Japan:%200%' OR mi.info like 'USA:%200%')\ninner join info_type AS it\non it.id = mi.info_type_id AND it.info = 'release dates'\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[us]';", 5449.468]
["SELECT MIN(cn.name) AS from_company,\n MIN(lt.link) AS movie_link_type,\n MIN(t.title) AS sequel_movie\nFROM company_name AS cn,\n company_type AS ct,\n keyword AS k,\n link_type AS lt,\n movie_companies AS mc,\n movie_keyword AS mk,\n movie_link AS ml,\n title AS t\nWHERE cn.country_code !='[pl]'\n AND (cn.name LIKE '%Film%'\n OR cn.name LIKE '%Warner%')\n AND ct.kind ='production companies'\n AND k.keyword ='sequel'\n AND lt.link LIKE '%follows%'\n AND mc.note IS NULL\n AND t.production_year = 1998\n AND t.title LIKE '%Money%'\n AND lt.id = ml.link_type_id\n AND ml.movie_id = t.id\n AND t.id = mk.movie_id\n AND mk.keyword_id = k.id\n AND t.id = mc.movie_id\n AND mc.company_type_id = ct.id\n AND mc.company_id = cn.id\n AND ml.movie_id = mk.movie_id\n AND ml.movie_id = mc.movie_id\n AND mk.movie_id = mc.movie_id;\n\n", 5238.219]
["select min(cn.name) AS from_company,\nmin(lt.link) AS movie_link_type,\nmin(t.title) AS sequel_movie\nfrom movie_keyword AS mk\ninner join movie_companies AS mc\non mk.movie_id = mc.movie_id AND mc.note IS NULL\ninner join movie_link AS ml\non ml.movie_id = mc.movie_id AND ml.movie_id = mk.movie_id\ninner join company_name AS cn\non mc.company_id = cn.id AND cn.country_code <> '[pl]' AND ( cn.name like '%Film%' OR cn.name like '%Warner%')\ninner join company_type AS ct\non mc.company_type_id = ct.id AND ct.kind = 'production companies'\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword = 'sequel'\ninner join title AS t\non t.id = mc.movie_id AND t.id = mk.movie_id AND ml.movie_id = t.id AND t.production_year = 1998 AND t.title like '%Money%'\ninner join link_type AS lt\non lt.id = ml.link_type_id AND lt.link like '%follows%';", 1585.915]
["SELECT MIN(cn1.name) AS first_company,\n MIN(cn2.name) AS second_company,\n MIN(mi_idx1.info) AS first_rating,\n MIN(mi_idx2.info) AS second_rating,\n MIN(t1.title) AS first_movie,\n MIN(t2.title) AS second_movie\nFROM company_name AS cn1,\n company_name AS cn2,\n info_type AS it1,\n info_type AS it2,\n kind_type AS kt1,\n kind_type AS kt2,\n link_type AS lt,\n movie_companies AS mc1,\n movie_companies AS mc2,\n movie_info_idx AS mi_idx1,\n movie_info_idx AS mi_idx2,\n movie_link AS ml,\n title AS t1,\n title AS t2\nWHERE cn1.country_code = '[us]'\n AND it1.info = 'rating'\n AND it2.info = 'rating'\n AND kt1.kind IN ('tv series')\n AND kt2.kind IN ('tv series')\n AND lt.link IN ('sequel',\n 'follows',\n 'followed by')\n AND mi_idx2.info < '3.0'\n AND t2.production_year BETWEEN 2005 AND 2008\n AND lt.id = ml.link_type_id\n AND t1.id = ml.movie_id\n AND t2.id = ml.linked_movie_id\n AND it1.id = mi_idx1.info_type_id\n AND t1.id = mi_idx1.movie_id\n AND kt1.id = t1.kind_id\n AND cn1.id = mc1.company_id\n AND t1.id = mc1.movie_id\n AND ml.movie_id = mi_idx1.movie_id\n AND ml.movie_id = mc1.movie_id\n AND mi_idx1.movie_id = mc1.movie_id\n AND it2.id = mi_idx2.info_type_id\n AND t2.id = mi_idx2.movie_id\n AND kt2.id = t2.kind_id\n AND cn2.id = mc2.company_id\n AND t2.id = mc2.movie_id\n AND ml.linked_movie_id = mi_idx2.movie_id\n AND ml.linked_movie_id = mc2.movie_id\n AND mi_idx2.movie_id = mc2.movie_id;\n\n", 613.958]
["select min(cn1.name) AS first_company,\nmin(cn2.name) AS second_company,\nmin(mi_idx1.info) AS first_rating,\nmin(mi_idx2.info) AS second_rating,\nmin(t1.title) AS first_movie,\nmin(t2.title) AS second_movie\nfrom movie_info_idx AS mi_idx2\ninner join movie_companies AS mc2\non mi_idx2.movie_id = mc2.movie_id AND mi_idx2.info < '3.0'\ninner join movie_link AS ml\non ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id\ninner join company_name AS cn2\non cn2.id = mc2.company_id\ninner join movie_companies AS mc1\non ml.movie_id = mc1.movie_id\ninner join movie_info_idx AS mi_idx1\non mi_idx1.movie_id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id\ninner join link_type AS lt\non lt.id = ml.link_type_id AND lt.link IN ('sequel',\n'follows',\n'followed by')\ninner join title AS t1\non t1.id = mi_idx1.movie_id AND t1.id = ml.movie_id AND t1.id = mc1.movie_id\ninner join kind_type AS kt1\non kt1.id = t1.kind_id AND kt1.kind IN ('tv series')\ninner join title AS t2\non t2.id = mi_idx2.movie_id AND t2.id = mc2.movie_id AND t2.id = ml.linked_movie_id AND t2.production_year BETWEEN 2005 AND 2008\ninner join company_name AS cn1\non cn1.id = mc1.company_id AND cn1.country_code = '[us]'\ninner join info_type AS it2\non it2.id = mi_idx2.info_type_id AND it2.info = 'rating'\ninner join kind_type AS kt2\non kt2.id = t2.kind_id AND kt2.kind IN ('tv series')\ninner join info_type AS it1\non it1.id = mi_idx1.info_type_id AND it1.info = 'rating';", 5373.352]
["SELECT MIN(cn.name) AS movie_company,\n MIN(mi_idx.info) AS rating,\n MIN(t.title) AS western_violent_movie\nFROM company_name AS cn,\n company_type AS ct,\n info_type AS it1,\n info_type AS it2,\n keyword AS k,\n kind_type AS kt,\n movie_companies AS mc,\n movie_info AS mi,\n movie_info_idx AS mi_idx,\n movie_keyword AS mk,\n title AS t\nWHERE cn.country_code != '[us]'\n AND it1.info = 'countries'\n AND it2.info = 'rating'\n AND k.keyword IN ('murder',\n 'murder-in-title',\n 'blood',\n 'violence')\n AND kt.kind IN ('movie',\n 'episode')\n AND mi.info IN ('Sweden',\n 'Norway',\n 'Germany',\n 'Denmark',\n 'Swedish',\n 'Danish',\n 'Norwegian',\n 'German',\n 'USA',\n 'American')\n AND mi_idx.info < '8.5'\n AND t.production_year > 2005\n AND kt.id = t.kind_id\n AND t.id = mi.movie_id\n AND t.id = mk.movie_id\n AND t.id = mi_idx.movie_id\n AND t.id = mc.movie_id\n AND mk.movie_id = mi.movie_id\n AND mk.movie_id = mi_idx.movie_id\n AND mk.movie_id = mc.movie_id\n AND mi.movie_id = mi_idx.movie_id\n AND mi.movie_id = mc.movie_id\n AND mc.movie_id = mi_idx.movie_id\n AND k.id = mk.keyword_id\n AND it1.id = mi.info_type_id\n AND it2.id = mi_idx.info_type_id\n AND ct.id = mc.company_type_id\n AND cn.id = mc.company_id;\n\n", 2709.603]
["SELECT MIN(t.title) AS movie_title\nFROM company_name AS cn,\n keyword AS k,\n movie_companies AS mc,\n movie_keyword AS mk,\n title AS t\nWHERE cn.country_code ='[nl]'\n AND k.keyword ='character-name-in-title'\n AND cn.id = mc.company_id\n AND mc.movie_id = t.id\n AND t.id = mk.movie_id\n AND mk.keyword_id = k.id\n AND mc.movie_id = mk.movie_id;\n\n", 753.899]
["select min(t.title) AS movie_title\nfrom movie_companies AS mc\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[nl]'\ninner join movie_keyword AS mk\non mc.movie_id = mk.movie_id\ninner join title AS t\non mc.movie_id = t.id AND t.id = mk.movie_id\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword = 'character-name-in-title';", 2762.613]
["select min(t.title) AS movie_title\nfrom movie_keyword AS mk\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword = 'character-name-in-title'\ninner join title AS t\non t.id = mk.movie_id\ninner join movie_companies AS mc\non mc.movie_id = mk.movie_id AND mc.movie_id = t.id\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[nl]';", 825.845]
["SELECT MIN(t.title) AS movie_title\nFROM company_name AS cn,\n keyword AS k,\n movie_companies AS mc,\n movie_keyword AS mk,\n title AS t\nWHERE cn.country_code ='[de]'\n AND k.keyword ='character-name-in-title'\n AND cn.id = mc.company_id\n AND mc.movie_id = t.id\n AND t.id = mk.movie_id\n AND mk.keyword_id = k.id\n AND mc.movie_id = mk.movie_id;\n\n", 777.254]
["select min(t.title) AS movie_title\nfrom movie_companies AS mc\ninner join movie_keyword AS mk\non mc.movie_id = mk.movie_id\ninner join title AS t\non mc.movie_id = t.id AND t.id = mk.movie_id\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword = 'character-name-in-title'\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[de]';", 16470.064]
["SELECT MIN(n.name) AS voicing_actress,\n MIN(t.title) AS jap_engl_voiced_movie\nFROM aka_name AS an,\n char_name AS chn,\n cast_info AS ci,\n company_name AS cn,\n info_type AS it,\n movie_companies AS mc,\n movie_info AS mi,\n name AS n,\n role_type AS rt,\n title AS t\nWHERE ci.note IN ('(voice)',\n '(voice: Japanese version)',\n '(voice) (uncredited)',\n '(voice: English version)')\n AND cn.country_code ='[us]'\n AND it.info = 'release dates'\n AND n.gender ='f'\n AND rt.role ='actress'\n AND t.production_year > 2000\n AND t.id = mi.movie_id\n AND t.id = mc.movie_id\n AND t.id = ci.movie_id\n AND mc.movie_id = ci.movie_id\n AND mc.movie_id = mi.movie_id\n AND mi.movie_id = ci.movie_id\n AND cn.id = mc.company_id\n AND it.id = mi.info_type_id\n AND n.id = ci.person_id\n AND rt.id = ci.role_id\n AND n.id = an.person_id\n AND ci.person_id = an.person_id\n AND chn.id = ci.person_role_id;\n\n", 9603.566]
["select min(n.name) AS voicing_actress,\nmin(t.title) AS jap_engl_voiced_movie\nfrom aka_name AS an\ninner join cast_info AS ci\non ci.person_id = an.person_id AND ci.note IN ('(voice)',\n'(voice: Japanese version)',\n'(voice) (uncredited)',\n'(voice: English version)')\ninner join movie_companies AS mc\non mc.movie_id = ci.movie_id\ninner join name AS n\non n.id = an.person_id AND n.id = ci.person_id AND n.gender = 'f'\ninner join role_type AS rt\non rt.id = ci.role_id AND rt.role = 'actress'\ninner join title AS t\non t.id = mc.movie_id AND t.id = ci.movie_id AND t.production_year > 2000\ninner join movie_info AS mi\non mi.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND t.id = mi.movie_id\ninner join char_name AS chn\non chn.id = ci.person_role_id\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[us]'\ninner join info_type AS it\non it.id = mi.info_type_id AND it.info = 'release dates';", 37093.213]
["SELECT MIN(n.name) AS member_in_charnamed_movie\nFROM cast_info AS ci,\n company_name AS cn,\n keyword AS k,\n movie_companies AS mc,\n movie_keyword AS mk,\n name AS n,\n title AS t\nWHERE cn.country_code ='[us]'\n AND k.keyword ='character-name-in-title'\n AND n.id = ci.person_id\n AND ci.movie_id = t.id\n AND t.id = mk.movie_id\n AND mk.keyword_id = k.id\n AND t.id = mc.movie_id\n AND mc.company_id = cn.id\n AND ci.movie_id = mc.movie_id\n AND ci.movie_id = mk.movie_id\n AND mc.movie_id = mk.movie_id;\n\n", 7513.623]
["select min(n.name) AS member_in_charnamed_movie\nfrom movie_companies AS mc\ninner join company_name AS cn\non mc.company_id = cn.id AND cn.country_code = '[us]'\ninner join movie_keyword AS mk\non mc.movie_id = mk.movie_id\ninner join title AS t\non t.id = mk.movie_id AND t.id = mc.movie_id\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword = 'character-name-in-title'\ninner join cast_info AS ci\non ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND ci.movie_id = t.id\ninner join name AS n\non n.id = ci.person_id;", 9903.657]
["SELECT MIN(kt.kind) AS movie_kind,\n MIN(t.title) AS complete_us_internet_movie\nFROM complete_cast AS cc,\n comp_cast_type AS cct1,\n company_name AS cn,\n company_type AS ct,\n info_type AS it1,\n keyword AS k,\n kind_type AS kt,\n movie_companies AS mc,\n movie_info AS mi,\n movie_keyword AS mk,\n title AS t\nWHERE cct1.kind = 'complete+verified'\n AND cn.country_code = '[us]'\n AND it1.info = 'release dates'\n AND kt.kind IN ('movie',\n 'tv movie',\n 'video movie',\n 'video game')\n AND mi.note LIKE '%internet%'\n AND mi.info IS NOT NULL\n AND (mi.info LIKE 'USA:% 199%'\n OR mi.info LIKE 'USA:% 200%')\n AND t.production_year > 1990\n AND kt.id = t.kind_id\n AND t.id = mi.movie_id\n AND t.id = mk.movie_id\n AND t.id = mc.movie_id\n AND t.id = cc.movie_id\n AND mk.movie_id = mi.movie_id\n AND mk.movie_id = mc.movie_id\n AND mk.movie_id = cc.movie_id\n AND mi.movie_id = mc.movie_id\n AND mi.movie_id = cc.movie_id\n AND mc.movie_id = cc.movie_id\n AND k.id = mk.keyword_id\n AND it1.id = mi.info_type_id\n AND cn.id = mc.company_id\n AND ct.id = mc.company_type_id\n AND cct1.id = cc.status_id;\n\n", 1201.023]
["select min(kt.kind) AS movie_kind,\nmin(t.title) AS complete_us_internet_movie\nfrom movie_info AS mi\ninner join info_type AS it1\non it1.id = mi.info_type_id AND mi.note like '%internet%' AND mi.info IS NOT NULL AND ( mi.info like 'USA:% 199%' OR mi.info like 'USA:% 200%') AND it1.info = 'release dates'\ninner join movie_companies AS mc\non mi.movie_id = mc.movie_id\ninner join title AS t\non t.id = mc.movie_id AND t.id = mi.movie_id AND t.production_year > 1990\ninner join complete_cast AS cc\non t.id = cc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id\ninner join movie_keyword AS mk\non mk.movie_id = cc.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id\ninner join keyword AS k\non k.id = mk.keyword_id\ninner join kind_type AS kt\non kt.id = t.kind_id AND kt.kind IN ('movie',\n'tv movie',\n'video movie',\n'video game')\ninner join comp_cast_type AS cct1\non cct1.id = cc.status_id AND cct1.kind = 'complete+verified'\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[us]'\ninner join company_type AS ct\non ct.id = mc.company_type_id;", 1142.614]
["SELECT MIN(n.name) AS member_in_charnamed_movie\nFROM cast_info AS ci,\n company_name AS cn,\n keyword AS k,\n movie_companies AS mc,\n movie_keyword AS mk,\n name AS n,\n title AS t\nWHERE k.keyword ='character-name-in-title'\n AND n.name LIKE '%Bert%'\n AND n.id = ci.person_id\n AND ci.movie_id = t.id\n AND t.id = mk.movie_id\n AND mk.keyword_id = k.id\n AND t.id = mc.movie_id\n AND mc.company_id = cn.id\n AND ci.movie_id = mc.movie_id\n AND ci.movie_id = mk.movie_id\n AND mc.movie_id = mk.movie_id;\n\n", 6306.09]
["select min(n.name) AS member_in_charnamed_movie\nfrom title AS t\ninner join movie_keyword AS mk\non t.id = mk.movie_id\ninner join movie_companies AS mc\non mc.movie_id = mk.movie_id AND t.id = mc.movie_id\ninner join cast_info AS ci\non ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND ci.movie_id = t.id\ninner join name AS n\non n.id = ci.person_id AND n.name like '%Bert%'\ninner join company_name AS cn\non mc.company_id = cn.id\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword = 'character-name-in-title';", 25229.367145881653]
["SELECT MIN(t.title) AS typical_european_movie\nFROM company_type AS ct,\n info_type AS it,\n movie_companies AS mc,\n movie_info AS mi,\n title AS t\nWHERE ct.kind = 'production companies'\n AND mc.note LIKE '%(theatrical)%'\n AND mc.note LIKE '%(France)%'\n AND mi.info IN ('Sweden',\n 'Norway',\n 'Germany',\n 'Denmark',\n 'Swedish',\n 'Denish',\n 'Norwegian',\n 'German')\n AND t.production_year > 2005\n AND t.id = mi.movie_id\n AND t.id = mc.movie_id\n AND mc.movie_id = mi.movie_id\n AND ct.id = mc.company_type_id\n AND it.id = mi.info_type_id;\n\n", 189.79]
["select min(t.title) AS typical_european_movie\nfrom title AS t\ninner join movie_companies AS mc\non t.id = mc.movie_id AND t.production_year > 2005 AND mc.note like '%(theatrical)%' AND mc.note like '%(France)%'\ninner join company_type AS ct\non ct.id = mc.company_type_id AND ct.kind = 'production companies'\ninner join movie_info AS mi\non mc.movie_id = mi.movie_id AND t.id = mi.movie_id AND mi.info IN ('Sweden',\n'Norway',\n'Germany',\n'Denmark',\n'Swedish',\n'Denish',\n'Norwegian',\n'German')\ninner join info_type AS it\non it.id = mi.info_type_id;", 225.747]
["select min(kt.kind) AS movie_kind,\nmin(t.title) AS complete_us_internet_movie\nfrom complete_cast AS cc\ninner join movie_keyword AS mk\non mk.movie_id = cc.movie_id\ninner join keyword AS k\non k.id = mk.keyword_id\ninner join title AS t\non t.id = cc.movie_id AND t.id = mk.movie_id AND t.production_year > 1990\ninner join movie_info AS mi\non mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND mi.movie_id = cc.movie_id AND mi.note like '%internet%' AND mi.info IS NOT NULL AND ( mi.info like 'USA:% 199%' OR mi.info like 'USA:% 200%')\ninner join movie_companies AS mc\non mc.movie_id = cc.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND t.id = mc.movie_id\ninner join info_type AS it1\non it1.id = mi.info_type_id AND it1.info = 'release dates'\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[us]'\ninner join comp_cast_type AS cct1\non cct1.id = cc.status_id AND cct1.kind = 'complete+verified'\ninner join kind_type AS kt\non kt.id = t.kind_id AND kt.kind IN ('movie',\n'tv movie',\n'video movie',\n'video game')\ninner join company_type AS ct\non ct.id = mc.company_type_id;", 3098.878]
["SELECT MIN(an.name) AS acress_pseudonym,\n MIN(t.title) AS japanese_anime_movie\nFROM aka_name AS an,\n cast_info AS ci,\n company_name AS cn,\n movie_companies AS mc,\n name AS n,\n role_type AS rt,\n title AS t\nWHERE ci.note ='(voice: English version)'\n AND cn.country_code ='[jp]'\n AND mc.note LIKE '%(Japan)%'\n AND mc.note NOT LIKE '%(USA)%'\n AND (mc.note LIKE '%(2006)%'\n OR mc.note LIKE '%(2007)%')\n AND n.name LIKE '%Yo%'\n AND n.name NOT LIKE '%Yu%'\n AND rt.role ='actress'\n AND t.production_year BETWEEN 2006 AND 2007\n AND (t.title LIKE 'One Piece%'\n OR t.title LIKE 'Dragon Ball Z%')\n AND an.person_id = n.id\n AND n.id = ci.person_id\n AND ci.movie_id = t.id\n AND t.id = mc.movie_id\n AND mc.company_id = cn.id\n AND ci.role_id = rt.id\n AND an.person_id = ci.person_id\n AND ci.movie_id = mc.movie_id;\n\n", 1794.041]
["select min(an.name) AS acress_pseudonym,\nmin(t.title) AS japanese_anime_movie\nfrom aka_name AS an\ninner join cast_info AS ci\non an.person_id = ci.person_id AND ci.note = '(voice: English version)'\ninner join movie_companies AS mc\non ci.movie_id = mc.movie_id AND mc.note like '%(Japan)%' AND mc.note not like '%(USA)%' AND ( mc.note like '%(2006)%' OR mc.note like '%(2007)%')\ninner join name AS n\non an.person_id = n.id AND n.id = ci.person_id AND n.name like '%Yo%' AND n.name not like '%Yu%'\ninner join company_name AS cn\non mc.company_id = cn.id AND cn.country_code = '[jp]'\ninner join role_type AS rt\non ci.role_id = rt.id AND rt.role = 'actress'\ninner join title AS t\non ci.movie_id = t.id AND t.id = mc.movie_id AND t.production_year BETWEEN 2006 AND 2007 AND ( t.title like 'One Piece%' OR t.title like 'Dragon Ball Z%');", 2074.031]
["SELECT MIN(mi.info) AS movie_budget,\n MIN(mi_idx.info) AS movie_votes,\n MIN(t.title) AS movie_title\nFROM cast_info AS ci,\n info_type AS it1,\n info_type AS it2,\n movie_info AS mi,\n movie_info_idx AS mi_idx,\n name AS n,\n title AS t\nWHERE ci.note IN ('(writer)',\n '(head writer)',\n '(written by)',\n '(story)',\n '(story editor)')\n AND it1.info = 'genres'\n AND it2.info = 'votes'\n AND mi.info IN ('Horror',\n 'Action',\n 'Sci-Fi',\n 'Thriller',\n 'Crime',\n 'War')\n AND n.gender = 'm'\n AND t.id = mi.movie_id\n AND t.id = mi_idx.movie_id\n AND t.id = ci.movie_id\n AND ci.movie_id = mi.movie_id\n AND ci.movie_id = mi_idx.movie_id\n AND mi.movie_id = mi_idx.movie_id\n AND n.id = ci.person_id\n AND it1.id = mi.info_type_id\n AND it2.id = mi_idx.info_type_id;\n\n", 3501.748]
["select min(mi.info) AS movie_budget,\nmin(mi_idx.info) AS movie_votes,\nmin(t.title) AS movie_title\nfrom movie_info_idx AS mi_idx\ninner join cast_info AS ci\non ci.movie_id = mi_idx.movie_id AND ci.note IN ('(writer)',\n'(head writer)',\n'(written by)',\n'(story)',\n'(story editor)')\ninner join name AS n\non n.id = ci.person_id AND n.gender = 'm'\ninner join title AS t\non t.id = ci.movie_id AND t.id = mi_idx.movie_id\ninner join info_type AS it2\non it2.id = mi_idx.info_type_id AND it2.info = 'votes'\ninner join movie_info AS mi\non t.id = mi.movie_id AND ci.movie_id = mi.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.info IN ('Horror',\n'Action',\n'Sci-Fi',\n'Thriller',\n'Crime',\n'War')\ninner join info_type AS it1\non it1.id = mi.info_type_id AND it1.info = 'genres';", 4291.442]
["select min(n.name) AS member_in_charnamed_movie\nfrom movie_companies AS mc\ninner join company_name AS cn\non mc.company_id = cn.id AND cn.country_code = '[us]'\ninner join title AS t\non t.id = mc.movie_id\ninner join movie_keyword AS mk\non t.id = mk.movie_id AND mc.movie_id = mk.movie_id\ninner join cast_info AS ci\non ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND ci.movie_id = t.id\ninner join name AS n\non n.id = ci.person_id\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword = 'character-name-in-title';", 30059.499045984267]
["SELECT MIN(an1.name) AS actress_pseudonym,\n MIN(t.title) AS japanese_movie_dubbed\nFROM aka_name AS an1,\n cast_info AS ci,\n company_name AS cn,\n movie_companies AS mc,\n name AS n1,\n role_type AS rt,\n title AS t\nWHERE ci.note ='(voice: English version)'\n AND cn.country_code ='[jp]'\n AND mc.note LIKE '%(Japan)%'\n AND mc.note NOT LIKE '%(USA)%'\n AND n1.name LIKE '%Yo%'\n AND n1.name NOT LIKE '%Yu%'\n AND rt.role ='actress'\n AND an1.person_id = n1.id\n AND n1.id = ci.person_id\n AND ci.movie_id = t.id\n AND t.id = mc.movie_id\n AND mc.company_id = cn.id\n AND ci.role_id = rt.id\n AND an1.person_id = ci.person_id\n AND ci.movie_id = mc.movie_id;\n\n", 7043.974]
["select min(an1.name) AS actress_pseudonym,\nmin(t.title) AS japanese_movie_dubbed\nfrom aka_name AS an1\ninner join cast_info AS ci\non an1.person_id = ci.person_id AND ci.note = '(voice: English version)'\ninner join name AS n1\non n1.id = ci.person_id AND an1.person_id = n1.id AND n1.name like '%Yo%' AND n1.name not like '%Yu%'\ninner join title AS t\non ci.movie_id = t.id\ninner join movie_companies AS mc\non ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND mc.note like '%(Japan)%' AND mc.note not like '%(USA)%'\ninner join role_type AS rt\non ci.role_id = rt.id AND rt.role = 'actress'\ninner join company_name AS cn\non mc.company_id = cn.id AND cn.country_code = '[jp]';", 2134.25]
["SELECT MIN(cn.name) AS from_company,\n MIN(mc.note) AS production_note,\n MIN(t.title) AS movie_based_on_book\nFROM company_name AS cn,\n company_type AS ct,\n keyword AS k,\n link_type AS lt,\n movie_companies AS mc,\n movie_keyword AS mk,\n movie_link AS ml,\n title AS t\nWHERE cn.country_code !='[pl]'\n AND ct.kind != 'production companies'\n AND ct.kind IS NOT NULL\n AND k.keyword IN ('sequel',\n 'revenge',\n 'based-on-novel')\n AND mc.note IS NOT NULL\n AND t.production_year > 1950\n AND lt.id = ml.link_type_id\n AND ml.movie_id = t.id\n AND t.id = mk.movie_id\n AND mk.keyword_id = k.id\n AND t.id = mc.movie_id\n AND mc.company_type_id = ct.id\n AND mc.company_id = cn.id\n AND ml.movie_id = mk.movie_id\n AND ml.movie_id = mc.movie_id\n AND mk.movie_id = mc.movie_id;\n\n", 830.809]
["select min(cn.name) AS from_company,\nmin(mc.note) AS production_note,\nmin(t.title) AS movie_based_on_book\nfrom company_name AS cn\ninner join movie_companies AS mc\non mc.company_id = cn.id AND cn.country_code <> '[pl]' AND mc.note IS NOT NULL\ninner join company_type AS ct\non mc.company_type_id = ct.id AND ct.kind <> 'production companies' AND ct.kind IS NOT NULL\ninner join movie_link AS ml\non ml.movie_id = mc.movie_id\ninner join title AS t\non ml.movie_id = t.id AND t.id = mc.movie_id AND t.production_year > 1950\ninner join movie_keyword AS mk\non mk.movie_id = mc.movie_id AND ml.movie_id = mk.movie_id AND t.id = mk.movie_id\ninner join link_type AS lt\non lt.id = ml.link_type_id\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword IN ('sequel',\n'revenge',\n'based-on-novel');", 2746.19]
["SELECT MIN(t.title) AS complete_downey_ironman_movie\nFROM complete_cast AS cc,\n comp_cast_type AS cct1,\n comp_cast_type AS cct2,\n char_name AS chn,\n cast_info AS ci,\n keyword AS k,\n kind_type AS kt,\n movie_keyword AS mk,\n name AS n,\n title AS t\nWHERE cct1.kind = 'cast'\n AND cct2.kind LIKE '%complete%'\n AND chn.name NOT LIKE '%Sherlock%'\n AND (chn.name LIKE '%Tony%Stark%'\n OR chn.name LIKE '%Iron%Man%')\n AND k.keyword IN ('superhero',\n 'sequel',\n 'second-part',\n 'marvel-comics',\n 'based-on-comic',\n 'tv-special',\n 'fight',\n 'violence')\n AND kt.kind = 'movie'\n AND t.production_year > 1950\n AND kt.id = t.kind_id\n AND t.id = mk.movie_id\n AND t.id = ci.movie_id\n AND t.id = cc.movie_id\n AND mk.movie_id = ci.movie_id\n AND mk.movie_id = cc.movie_id\n AND ci.movie_id = cc.movie_id\n AND chn.id = ci.person_role_id\n AND n.id = ci.person_id\n AND k.id = mk.keyword_id\n AND cct1.id = cc.subject_id\n AND cct2.id = cc.status_id;\n\n", 6917.779]
["select min(t.title) AS complete_downey_ironman_movie\nfrom movie_keyword AS mk\ninner join complete_cast AS cc\non mk.movie_id = cc.movie_id\ninner join title AS t\non t.id = mk.movie_id AND t.id = cc.movie_id AND t.production_year > 1950\ninner join comp_cast_type AS cct1\non cct1.id = cc.subject_id AND cct1.kind = 'cast'\ninner join cast_info AS ci\non mk.movie_id = ci.movie_id AND t.id = ci.movie_id AND ci.movie_id = cc.movie_id\ninner join name AS n\non n.id = ci.person_id\ninner join comp_cast_type AS cct2\non cct2.id = cc.status_id AND cct2.kind like '%complete%'\ninner join kind_type AS kt\non kt.id = t.kind_id AND kt.kind = 'movie'\ninner join keyword AS k\non k.id = mk.keyword_id AND k.keyword IN ('superhero',\n'sequel',\n'second-part',\n'marvel-comics',\n'based-on-comic',\n'tv-special',\n'fight',\n'violence')\ninner join char_name AS chn\non chn.id = ci.person_role_id AND chn.name not like '%Sherlock%' AND ( chn.name like '%Tony%Stark%' OR chn.name like '%Iron%Man%');", 72306.417]
["SELECT MIN(lt.link) AS link_type,\n MIN(t1.title) AS first_movie,\n MIN(t2.title) AS second_movie\nFROM keyword AS k,\n link_type AS lt,\n movie_keyword AS mk,\n movie_link AS ml,\n title AS t1,\n title AS t2\nWHERE k.keyword ='character-name-in-title'\n AND mk.keyword_id = k.id\n AND t1.id = mk.movie_id\n AND ml.movie_id = t1.id\n AND ml.linked_movie_id = t2.id\n AND lt.id = ml.link_type_id\n AND mk.movie_id = t1.id;\n\n", 668.818]
["select min(lt.link) AS link_type,\nmin(t1.title) AS first_movie,\nmin(t2.title) AS second_movie\nfrom movie_link AS ml\ninner join link_type AS lt\non lt.id = ml.link_type_id\ninner join title AS t2\non ml.linked_movie_id = t2.id\ninner join title AS t1\non ml.movie_id = t1.id\ninner join movie_keyword AS mk\non t1.id = mk.movie_id AND mk.movie_id = t1.id\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword = 'character-name-in-title';", 3043.577]
["SELECT MIN(mi_idx.info) AS rating,\n MIN(t.title) AS movie_title\nFROM info_type AS it,\n keyword AS k,\n movie_info_idx AS mi_idx,\n movie_keyword AS mk,\n title AS t\nWHERE it.info ='rating'\n AND k.keyword LIKE '%sequel%'\n AND mi_idx.info > '2.0'\n AND t.production_year > 1990\n AND t.id = mi_idx.movie_id\n AND t.id = mk.movie_id\n AND mk.movie_id = mi_idx.movie_id\n AND k.id = mk.keyword_id\n AND it.id = mi_idx.info_type_id;\n\n", 661.883]
["select min(mi_idx.info) AS rating,\nmin(t.title) AS movie_title\nfrom movie_keyword AS mk\ninner join movie_info_idx AS mi_idx\non mk.movie_id = mi_idx.movie_id AND mi_idx.info > '2.0'\ninner join info_type AS it\non it.id = mi_idx.info_type_id AND it.info = 'rating'\ninner join keyword AS k\non k.id = mk.keyword_id AND k.keyword like '%sequel%'\ninner join title AS t\non t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.production_year > 1990;", 1802.878]
["SELECT MIN(mi.info) AS movie_budget,\n MIN(mi_idx.info) AS movie_votes,\n MIN(n.name) AS writer,\n MIN(t.title) AS complete_gore_movie\nFROM complete_cast AS cc,\n comp_cast_type AS cct1,\n comp_cast_type AS cct2,\n cast_info AS ci,\n info_type AS it1,\n info_type AS it2,\n keyword AS k,\n movie_info AS mi,\n movie_info_idx AS mi_idx,\n movie_keyword AS mk,\n name AS n,\n title AS t\nWHERE cct1.kind IN ('cast',\n 'crew')\n AND cct2.kind ='complete+verified'\n AND ci.note IN ('(writer)',\n '(head writer)',\n '(written by)',\n '(story)',\n '(story editor)')\n AND it1.info = 'genres'\n AND it2.info = 'votes'\n AND k.keyword IN ('murder',\n 'violence',\n 'blood',\n 'gore',\n 'death',\n 'female-nudity',\n 'hospital')\n AND mi.info IN ('Horror',\n 'Thriller')\n AND n.gender = 'm'\n AND t.production_year > 2000\n AND (t.title LIKE '%Freddy%'\n OR t.title LIKE '%Jason%'\n OR t.title LIKE 'Saw%')\n AND t.id = mi.movie_id\n AND t.id = mi_idx.movie_id\n AND t.id = ci.movie_id\n AND t.id = mk.movie_id\n AND t.id = cc.movie_id\n AND ci.movie_id = mi.movie_id\n AND ci.movie_id = mi_idx.movie_id\n AND ci.movie_id = mk.movie_id\n AND ci.movie_id = cc.movie_id\n AND mi.movie_id = mi_idx.movie_id\n AND mi.movie_id = mk.movie_id\n AND mi.movie_id = cc.movie_id\n AND mi_idx.movie_id = mk.movie_id\n AND mi_idx.movie_id = cc.movie_id\n AND mk.movie_id = cc.movie_id\n AND n.id = ci.person_id\n AND it1.id = mi.info_type_id\n AND it2.id = mi_idx.info_type_id\n AND k.id = mk.keyword_id\n AND cct1.id = cc.subject_id\n AND cct2.id = cc.status_id;\n\n", 6874.761]
["select min(mi.info) AS movie_budget,\nmin(mi_idx.info) AS movie_votes,\nmin(n.name) AS writer,\nmin(t.title) AS complete_gore_movie\nfrom movie_keyword AS mk\ninner join complete_cast AS cc\non mk.movie_id = cc.movie_id\ninner join cast_info AS ci\non ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND ci.note IN ('(writer)',\n'(head writer)',\n'(written by)',\n'(story)',\n'(story editor)')\ninner join movie_info AS mi\non mi.movie_id = cc.movie_id AND ci.movie_id = mi.movie_id AND mi.movie_id = mk.movie_id AND mi.info IN ('Horror',\n'Thriller')\ninner join name AS n\non n.id = ci.person_id AND n.gender = 'm'\ninner join info_type AS it1\non it1.id = mi.info_type_id AND it1.info = 'genres'\ninner join keyword AS k\non k.id = mk.keyword_id AND k.keyword IN ('murder',\n'violence',\n'blood',\n'gore',\n'death',\n'female-nudity',\n'hospital')\ninner join movie_info_idx AS mi_idx\non ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id\ninner join comp_cast_type AS cct1\non cct1.id = cc.subject_id AND cct1.kind IN ('cast',\n'crew')\ninner join comp_cast_type AS cct2\non cct2.id = cc.status_id AND cct2.kind = 'complete+verified'\ninner join title AS t\non t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND t.id = mi.movie_id AND t.production_year > 2000 AND ( t.title like '%Freddy%' OR t.title like '%Jason%' OR t.title like 'Saw%')\ninner join info_type AS it2\non it2.id = mi_idx.info_type_id AND it2.info = 'votes';", 4891.907]
["SELECT MIN(an.name) AS cool_actor_pseudonym,\n MIN(t.title) AS series_named_after_char\nFROM aka_name AS an,\n cast_info AS ci,\n company_name AS cn,\n keyword AS k,\n movie_companies AS mc,\n movie_keyword AS mk,\n name AS n,\n title AS t\nWHERE cn.country_code ='[us]'\n AND k.keyword ='character-name-in-title'\n AND t.episode_nr < 100\n AND an.person_id = n.id\n AND n.id = ci.person_id\n AND ci.movie_id = t.id\n AND t.id = mk.movie_id\n AND mk.keyword_id = k.id\n AND t.id = mc.movie_id\n AND mc.company_id = cn.id\n AND an.person_id = ci.person_id\n AND ci.movie_id = mc.movie_id\n AND ci.movie_id = mk.movie_id\n AND mc.movie_id = mk.movie_id;\n\n", 4037.251]
["select min(an.name) AS cool_actor_pseudonym,\nmin(t.title) AS series_named_after_char\nfrom cast_info AS ci\ninner join movie_companies AS mc\non ci.movie_id = mc.movie_id\ninner join company_name AS cn\non mc.company_id = cn.id AND cn.country_code = '[us]'\ninner join movie_keyword AS mk\non mc.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id\ninner join aka_name AS an\non an.person_id = ci.person_id\ninner join name AS n\non an.person_id = n.id AND n.id = ci.person_id\ninner join title AS t\non t.id = mc.movie_id AND t.id = mk.movie_id AND ci.movie_id = t.id AND t.episode_nr < 100\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword = 'character-name-in-title';", 99927.65597868423]
["select min(an1.name) AS actress_pseudonym,\nmin(t.title) AS japanese_movie_dubbed\nfrom aka_name AS an1\ninner join cast_info AS ci\non an1.person_id = ci.person_id AND ci.note = '(voice: English version)'\ninner join title AS t\non ci.movie_id = t.id\ninner join movie_companies AS mc\non t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.note like '%(Japan)%' AND mc.note not like '%(USA)%'\ninner join name AS n1\non n1.id = ci.person_id AND an1.person_id = n1.id AND n1.name like '%Yo%' AND n1.name not like '%Yu%'\ninner join company_name AS cn\non mc.company_id = cn.id AND cn.country_code = '[jp]'\ninner join role_type AS rt\non ci.role_id = rt.id AND rt.role = 'actress';", 4494.11]
["SELECT MIN(chn.name) AS character,\n MIN(t.title) AS russian_mov_with_actor_producer\nFROM char_name AS chn,\n cast_info AS ci,\n company_name AS cn,\n company_type AS ct,\n movie_companies AS mc,\n role_type AS rt,\n title AS t\nWHERE ci.note LIKE '%(producer)%'\n AND cn.country_code = '[ru]'\n AND rt.role = 'actor'\n AND t.production_year > 2010\n AND t.id = mc.movie_id\n AND t.id = ci.movie_id\n AND ci.movie_id = mc.movie_id\n AND chn.id = ci.person_role_id\n AND rt.id = ci.role_id\n AND cn.id = mc.company_id\n AND ct.id = mc.company_type_id;\n\n", 2030.525]
["select min(chn.name) AS character,\nmin(t.title) AS russian_mov_with_actor_producer\nfrom movie_companies AS mc\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[ru]'\ninner join cast_info AS ci\non ci.movie_id = mc.movie_id AND ci.note like '%(producer)%'\ninner join char_name AS chn\non chn.id = ci.person_role_id\ninner join title AS t\non t.id = ci.movie_id AND t.id = mc.movie_id AND t.production_year > 2010\ninner join company_type AS ct\non ct.id = mc.company_type_id\ninner join role_type AS rt\non rt.id = ci.role_id AND rt.role = 'actor';", 2184.436]
["SELECT MIN(cn.name) AS producing_company,\n MIN(miidx.info) AS rating,\n MIN(t.title) AS movie_about_winning\nFROM company_name AS cn,\n company_type AS ct,\n info_type AS it,\n info_type AS it2,\n kind_type AS kt,\n movie_companies AS mc,\n movie_info AS mi,\n movie_info_idx AS miidx,\n title AS t\nWHERE cn.country_code ='[us]'\n AND ct.kind ='production companies'\n AND it.info ='rating'\n AND it2.info ='release dates'\n AND kt.kind ='movie'\n AND t.title != ''\n AND (t.title LIKE '%Champion%'\n OR t.title LIKE '%Loser%')\n AND mi.movie_id = t.id\n AND it2.id = mi.info_type_id\n AND kt.id = t.kind_id\n AND mc.movie_id = t.id\n AND cn.id = mc.company_id\n AND ct.id = mc.company_type_id\n AND miidx.movie_id = t.id\n AND it.id = miidx.info_type_id\n AND mi.movie_id = miidx.movie_id\n AND mi.movie_id = mc.movie_id\n AND miidx.movie_id = mc.movie_id;\n\n", 3782.81]
["select min(cn.name) AS producing_company,\nmin(miidx.info) AS rating,\nmin(t.title) AS movie_about_winning\nfrom movie_companies AS mc\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[us]'\ninner join company_type AS ct\non ct.id = mc.company_type_id AND ct.kind = 'production companies'\ninner join movie_info_idx AS miidx\non miidx.movie_id = mc.movie_id\ninner join info_type AS it\non it.id = miidx.info_type_id AND it.info = 'rating'\ninner join movie_info AS mi\non mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id\ninner join info_type AS it2\non it2.id = mi.info_type_id AND it2.info = 'release dates'\ninner join title AS t\non miidx.movie_id = t.id AND mc.movie_id = t.id AND mi.movie_id = t.id AND t.title <> '' AND ( t.title like '%Champion%' OR t.title like '%Loser%')\ninner join kind_type AS kt\non kt.id = t.kind_id AND kt.kind = 'movie';", 5439.564]
["SELECT MIN(an.name) AS cool_actor_pseudonym,\n MIN(t.title) AS series_named_after_char\nFROM aka_name AS an,\n cast_info AS ci,\n company_name AS cn,\n keyword AS k,\n movie_companies AS mc,\n movie_keyword AS mk,\n name AS n,\n title AS t\nWHERE cn.country_code ='[us]'\n AND k.keyword ='character-name-in-title'\n AND t.episode_nr >= 50\n AND t.episode_nr < 100\n AND an.person_id = n.id\n AND n.id = ci.person_id\n AND ci.movie_id = t.id\n AND t.id = mk.movie_id\n AND mk.keyword_id = k.id\n AND t.id = mc.movie_id\n AND mc.company_id = cn.id\n AND an.person_id = ci.person_id\n AND ci.movie_id = mc.movie_id\n AND ci.movie_id = mk.movie_id\n AND mc.movie_id = mk.movie_id;\n\n", 3518.167]
["select min(an.name) AS cool_actor_pseudonym,\nmin(t.title) AS series_named_after_char\nfrom aka_name AS an\ninner join name AS n\non an.person_id = n.id\ninner join cast_info AS ci\non n.id = ci.person_id AND an.person_id = ci.person_id\ninner join movie_keyword AS mk\non ci.movie_id = mk.movie_id\ninner join movie_companies AS mc\non mc.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id\ninner join company_name AS cn\non mc.company_id = cn.id AND cn.country_code = '[us]'\ninner join title AS t\non ci.movie_id = t.id AND t.id = mc.movie_id AND t.id = mk.movie_id AND t.episode_nr >= 50 AND t.episode_nr < 100\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword = 'character-name-in-title';", 88532.31224206892]
["SELECT MIN(mi.info) AS movie_budget,\n MIN(mi_idx.info) AS movie_votes,\n MIN(t.title) AS movie_title\nFROM cast_info AS ci,\n info_type AS it1,\n info_type AS it2,\n movie_info AS mi,\n movie_info_idx AS mi_idx,\n name AS n,\n title AS t\nWHERE ci.note IN ('(producer)',\n '(executive producer)')\n AND it1.info = 'budget'\n AND it2.info = 'votes'\n AND n.gender = 'm'\n AND n.name LIKE '%Tim%'\n AND t.id = mi.movie_id\n AND t.id = mi_idx.movie_id\n AND t.id = ci.movie_id\n AND ci.movie_id = mi.movie_id\n AND ci.movie_id = mi_idx.movie_id\n AND mi.movie_id = mi_idx.movie_id\n AND n.id = ci.person_id\n AND it1.id = mi.info_type_id\n AND it2.id = mi_idx.info_type_id;\n\n", 7369.423]
["select min(mi.info) AS movie_budget,\nmin(mi_idx.info) AS movie_votes,\nmin(t.title) AS movie_title\nfrom movie_info_idx AS mi_idx\ninner join cast_info AS ci\non ci.movie_id = mi_idx.movie_id AND ci.note IN ('(producer)',\n'(executive producer)')\ninner join name AS n\non n.id = ci.person_id AND n.gender = 'm' AND n.name like '%Tim%'\ninner join title AS t\non t.id = ci.movie_id AND t.id = mi_idx.movie_id\ninner join info_type AS it2\non it2.id = mi_idx.info_type_id AND it2.info = 'votes'\ninner join movie_info AS mi\non mi.movie_id = mi_idx.movie_id AND ci.movie_id = mi.movie_id AND t.id = mi.movie_id\ninner join info_type AS it1\non it1.id = mi.info_type_id AND it1.info = 'budget';", 4733.44]
["SELECT MIN(mc.note) AS production_note,\n MIN(t.title) AS movie_title,\n MIN(t.production_year) AS movie_year\nFROM company_type AS ct,\n info_type AS it,\n movie_companies AS mc,\n movie_info_idx AS mi_idx,\n title AS t\nWHERE ct.kind = 'production companies'\n AND it.info = 'bottom 10 rank'\n AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%'\n AND t.production_year >2000\n AND ct.id = mc.company_type_id\n AND t.id = mc.movie_id\n AND t.id = mi_idx.movie_id\n AND mc.movie_id = mi_idx.movie_id\n AND it.id = mi_idx.info_type_id;\n\n", 797.844]
["select min(mc.note) AS production_note,\nmin(t.title) AS movie_title,\nmin(t.production_year) AS movie_year\nfrom movie_info_idx AS mi_idx\ninner join info_type AS it\non it.id = mi_idx.info_type_id AND it.info = 'bottom 10 rank'\ninner join movie_companies AS mc\non mc.movie_id = mi_idx.movie_id AND mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%'\ninner join company_type AS ct\non ct.id = mc.company_type_id AND ct.kind = 'production companies'\ninner join title AS t\non t.id = mc.movie_id AND t.id = mi_idx.movie_id AND t.production_year > 2000;", 351.946]
["select min(cn.name) AS movie_company,\nmin(mi_idx.info) AS rating,\nmin(t.title) AS western_violent_movie\nfrom movie_companies AS mc\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code <> '[us]'\ninner join company_type AS ct\non ct.id = mc.company_type_id\ninner join title AS t\non t.id = mc.movie_id AND t.production_year > 2005\ninner join movie_keyword AS mk\non t.id = mk.movie_id AND mk.movie_id = mc.movie_id\ninner join movie_info_idx AS mi_idx\non t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND mk.movie_id = mi_idx.movie_id AND mi_idx.info < '8.5'\ninner join kind_type AS kt\non kt.id = t.kind_id AND kt.kind IN ('movie',\n'episode')\ninner join info_type AS it2\non it2.id = mi_idx.info_type_id AND it2.info = 'rating'\ninner join keyword AS k\non k.id = mk.keyword_id AND k.keyword IN ('murder',\n'murder-in-title',\n'blood',\n'violence')\ninner join movie_info AS mi\non mi.movie_id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mi.movie_id = mc.movie_id AND t.id = mi.movie_id AND mi.info IN ('Sweden',\n'Norway',\n'Germany',\n'Denmark',\n'Swedish',\n'Danish',\n'Norwegian',\n'German',\n'USA',\n'American')\ninner join info_type AS it1\non it1.id = mi.info_type_id AND it1.info = 'countries';", 19673.136]
["select min(cn.name) AS from_company,\nmin(lt.link) AS movie_link_type,\nmin(t.title) AS sequel_movie\nfrom movie_keyword AS mk\ninner join movie_link AS ml\non ml.movie_id = mk.movie_id\ninner join movie_companies AS mc\non ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND mc.note IS NULL\ninner join company_name AS cn\non mc.company_id = cn.id AND cn.country_code <> '[pl]' AND ( cn.name like '%Film%' OR cn.name like '%Warner%')\ninner join company_type AS ct\non mc.company_type_id = ct.id AND ct.kind = 'production companies'\ninner join title AS t\non t.id = mc.movie_id AND t.id = mk.movie_id AND ml.movie_id = t.id AND t.production_year = 1998 AND t.title like '%Money%'\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword = 'sequel'\ninner join link_type AS lt\non lt.id = ml.link_type_id AND lt.link like '%follows%';", 2061.091]
["select min(t.title) AS complete_downey_ironman_movie\nfrom movie_keyword AS mk\ninner join complete_cast AS cc\non mk.movie_id = cc.movie_id\ninner join keyword AS k\non k.id = mk.keyword_id AND k.keyword IN ('superhero',\n'sequel',\n'second-part',\n'marvel-comics',\n'based-on-comic',\n'tv-special',\n'fight',\n'violence')\ninner join title AS t\non t.id = mk.movie_id AND t.id = cc.movie_id AND t.production_year > 1950\ninner join cast_info AS ci\non mk.movie_id = ci.movie_id AND ci.movie_id = cc.movie_id AND t.id = ci.movie_id\ninner join name AS n\non n.id = ci.person_id\ninner join char_name AS chn\non chn.id = ci.person_role_id AND chn.name not like '%Sherlock%' AND ( chn.name like '%Tony%Stark%' OR chn.name like '%Iron%Man%')\ninner join comp_cast_type AS cct1\non cct1.id = cc.subject_id AND cct1.kind = 'cast'\ninner join comp_cast_type AS cct2\non cct2.id = cc.status_id AND cct2.kind like '%complete%'\ninner join kind_type AS kt\non kt.id = t.kind_id AND kt.kind = 'movie';", 7297.488]
["SELECT MIN(cn.name) AS movie_company,\n MIN(mi_idx.info) AS rating,\n MIN(t.title) AS western_violent_movie\nFROM company_name AS cn,\n company_type AS ct,\n info_type AS it1,\n info_type AS it2,\n keyword AS k,\n kind_type AS kt,\n movie_companies AS mc,\n movie_info AS mi,\n movie_info_idx AS mi_idx,\n movie_keyword AS mk,\n title AS t\nWHERE cn.country_code != '[us]'\n AND it1.info = 'countries'\n AND it2.info = 'rating'\n AND k.keyword IN ('murder',\n 'murder-in-title',\n 'blood',\n 'violence')\n AND kt.kind IN ('movie',\n 'episode')\n AND mc.note NOT LIKE '%(USA)%'\n AND mc.note LIKE '%(200%)%'\n AND mi.info IN ('Germany',\n 'German',\n 'USA',\n 'American')\n AND mi_idx.info < '7.0'\n AND t.production_year > 2009\n AND kt.id = t.kind_id\n AND t.id = mi.movie_id\n AND t.id = mk.movie_id\n AND t.id = mi_idx.movie_id\n AND t.id = mc.movie_id\n AND mk.movie_id = mi.movie_id\n AND mk.movie_id = mi_idx.movie_id\n AND mk.movie_id = mc.movie_id\n AND mi.movie_id = mi_idx.movie_id\n AND mi.movie_id = mc.movie_id\n AND mc.movie_id = mi_idx.movie_id\n AND k.id = mk.keyword_id\n AND it1.id = mi.info_type_id\n AND it2.id = mi_idx.info_type_id\n AND ct.id = mc.company_type_id\n AND cn.id = mc.company_id;\n\n", 1821.51]
["select min(cn.name) AS movie_company,\nmin(mi_idx.info) AS rating,\nmin(t.title) AS western_violent_movie\nfrom movie_keyword AS mk\ninner join movie_companies AS mc\non mk.movie_id = mc.movie_id AND mc.note not like '%(USA)%' AND mc.note like '%(200%)%'\ninner join title AS t\non t.id = mc.movie_id AND t.id = mk.movie_id AND t.production_year > 2009\ninner join company_type AS ct\non ct.id = mc.company_type_id\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code <> '[us]'\ninner join movie_info AS mi\non mi.movie_id = mc.movie_id AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND mi.info IN ('Germany',\n'German',\n'USA',\n'American')\ninner join info_type AS it1\non it1.id = mi.info_type_id AND it1.info = 'countries'\ninner join kind_type AS kt\non kt.id = t.kind_id AND kt.kind IN ('movie',\n'episode')\ninner join movie_info_idx AS mi_idx\non t.id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND mk.movie_id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND mi_idx.info < '7.0'\ninner join info_type AS it2\non it2.id = mi_idx.info_type_id AND it2.info = 'rating'\ninner join keyword AS k\non k.id = mk.keyword_id AND k.keyword IN ('murder',\n'murder-in-title',\n'blood',\n'violence');", 4804.285]
["SELECT MIN(chn.name) AS voiced_char,\n MIN(n.name) AS voicing_actress,\n MIN(t.title) AS voiced_animation\nFROM aka_name AS an,\n complete_cast AS cc,\n comp_cast_type AS cct1,\n comp_cast_type AS cct2,\n char_name AS chn,\n cast_info AS ci,\n company_name AS cn,\n info_type AS it,\n info_type AS it3,\n keyword AS k,\n movie_companies AS mc,\n movie_info AS mi,\n movie_keyword AS mk,\n name AS n,\n person_info AS pi,\n role_type AS rt,\n title AS t\nWHERE cct1.kind ='cast'\n AND cct2.kind ='complete+verified'\n AND chn.name = 'Queen'\n AND ci.note IN ('(voice)',\n '(voice) (uncredited)',\n '(voice: English version)')\n AND cn.country_code ='[us]'\n AND it.info = 'release dates'\n AND it3.info = 'height'\n AND k.keyword = 'computer-animation'\n AND mi.info LIKE 'USA:%200%'\n AND n.gender ='f'\n AND n.name LIKE '%An%'\n AND rt.role ='actress'\n AND t.title = 'Shrek 2'\n AND t.production_year BETWEEN 2000 AND 2005\n AND t.id = mi.movie_id\n AND t.id = mc.movie_id\n AND t.id = ci.movie_id\n AND t.id = mk.movie_id\n AND t.id = cc.movie_id\n AND mc.movie_id = ci.movie_id\n AND mc.movie_id = mi.movie_id\n AND mc.movie_id = mk.movie_id\n AND mc.movie_id = cc.movie_id\n AND mi.movie_id = ci.movie_id\n AND mi.movie_id = mk.movie_id\n AND mi.movie_id = cc.movie_id\n AND ci.movie_id = mk.movie_id\n AND ci.movie_id = cc.movie_id\n AND mk.movie_id = cc.movie_id\n AND cn.id = mc.company_id\n AND it.id = mi.info_type_id\n AND n.id = ci.person_id\n AND rt.id = ci.role_id\n AND n.id = an.person_id\n AND ci.person_id = an.person_id\n AND chn.id = ci.person_role_id\n AND n.id = pi.person_id\n AND ci.person_id = pi.person_id\n AND it3.id = pi.info_type_id\n AND k.id = mk.keyword_id\n AND cct1.id = cc.subject_id\n AND cct2.id = cc.status_id;\n\n", 30786.076]
["select min(chn.name) AS voiced_char,\nmin(n.name) AS voicing_actress,\nmin(t.title) AS voiced_animation\nfrom info_type AS it\ninner join movie_info AS mi\non it.id = mi.info_type_id AND it.info = 'release dates' AND mi.info like 'USA:%200%'\ninner join movie_keyword AS mk\non mi.movie_id = mk.movie_id\ninner join keyword AS k\non k.id = mk.keyword_id AND k.keyword = 'computer-animation'\ninner join title AS t\non t.id = mk.movie_id AND t.id = mi.movie_id AND t.title = 'Shrek 2' AND t.production_year BETWEEN 2000 AND 2005\ninner join movie_companies AS mc\non mc.movie_id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mk.movie_id\ninner join complete_cast AS cc\non t.id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id\ninner join cast_info AS ci\non mi.movie_id = ci.movie_id AND mc.movie_id = ci.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND ci.note IN ('(voice)',\n'(voice) (uncredited)',\n'(voice: English version)')\ninner join name AS n\non n.id = ci.person_id AND n.gender = 'f' AND n.name like '%An%'\ninner join aka_name AS an\non ci.person_id = an.person_id AND n.id = an.person_id\ninner join person_info AS pi\non n.id = pi.person_id AND ci.person_id = pi.person_id\ninner join comp_cast_type AS cct1\non cct1.id = cc.subject_id AND cct1.kind = 'cast'\ninner join comp_cast_type AS cct2\non cct2.id = cc.status_id AND cct2.kind = 'complete+verified'\ninner join role_type AS rt\non rt.id = ci.role_id AND rt.role = 'actress'\ninner join char_name AS chn\non chn.id = ci.person_role_id AND chn.name = 'Queen'\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[us]'\ninner join info_type AS it3\non it3.id = pi.info_type_id AND it3.info = 'height';", 4509.258]
["SELECT MIN(n.name) AS cast_member_name,\n MIN(pi.info) AS cast_member_info\nFROM aka_name AS an,\n cast_info AS ci,\n info_type AS it,\n link_type AS lt,\n movie_link AS ml,\n name AS n,\n person_info AS pi,\n title AS t\nWHERE an.name IS NOT NULL\n AND (an.name LIKE '%a%'\n OR an.name LIKE 'A%')\n AND it.info ='mini biography'\n AND lt.link IN ('references',\n 'referenced in',\n 'features',\n 'featured in')\n AND n.name_pcode_cf BETWEEN 'A' AND 'F'\n AND (n.gender='m'\n OR (n.gender = 'f'\n AND n.name LIKE 'A%'))\n AND pi.note IS NOT NULL\n AND t.production_year BETWEEN 1980 AND 2010\n AND n.id = an.person_id\n AND n.id = pi.person_id\n AND ci.person_id = n.id\n AND t.id = ci.movie_id\n AND ml.linked_movie_id = t.id\n AND lt.id = ml.link_type_id\n AND it.id = pi.info_type_id\n AND pi.person_id = an.person_id\n AND pi.person_id = ci.person_id\n AND an.person_id = ci.person_id\n AND ci.movie_id = ml.linked_movie_id;\n\n", 46911.409]
["select min(n.name) AS cast_member_name,\nmin(pi.info) AS cast_member_info\nfrom cast_info AS ci\ninner join aka_name AS an\non an.person_id = ci.person_id AND an.name IS NOT NULL AND ( an.name like '%a%' OR an.name like 'A%')\ninner join title AS t\non t.id = ci.movie_id AND t.production_year BETWEEN 1980 AND 2010\ninner join movie_link AS ml\non ml.linked_movie_id = t.id AND ci.movie_id = ml.linked_movie_id\ninner join person_info AS pi\non pi.person_id = an.person_id AND pi.person_id = ci.person_id AND pi.note IS NOT NULL\ninner join name AS n\non n.id = an.person_id AND ci.person_id = n.id AND n.id = pi.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name like 'A%'))\ninner join info_type AS it\non it.id = pi.info_type_id AND it.info = 'mini biography'\ninner join link_type AS lt\non lt.id = ml.link_type_id AND lt.link IN ('references',\n'referenced in',\n'features',\n'featured in');", 28521.307]
["SELECT MIN(t.title) AS american_movie\nFROM company_type AS ct,\n info_type AS it,\n movie_companies AS mc,\n movie_info AS mi,\n title AS t\nWHERE ct.kind = 'production companies'\n AND mc.note NOT LIKE '%(TV)%'\n AND mc.note LIKE '%(USA)%'\n AND mi.info IN ('Sweden',\n 'Norway',\n 'Germany',\n 'Denmark',\n 'Swedish',\n 'Denish',\n 'Norwegian',\n 'German',\n 'USA',\n 'American')\n AND t.production_year > 1990\n AND t.id = mi.movie_id\n AND t.id = mc.movie_id\n AND mc.movie_id = mi.movie_id\n AND ct.id = mc.company_type_id\n AND it.id = mi.info_type_id;\n\n", 2138.961]
["select min(t.title) AS american_movie\nfrom title AS t\ninner join movie_companies AS mc\non t.id = mc.movie_id AND t.production_year > 1990 AND mc.note not like '%(TV)%' AND mc.note like '%(USA)%'\ninner join movie_info AS mi\non mc.movie_id = mi.movie_id AND t.id = mi.movie_id AND mi.info IN ('Sweden',\n'Norway',\n'Germany',\n'Denmark',\n'Swedish',\n'Denish',\n'Norwegian',\n'German',\n'USA',\n'American')\ninner join info_type AS it\non it.id = mi.info_type_id\ninner join company_type AS ct\non ct.id = mc.company_type_id AND ct.kind = 'production companies';", 2541.862]
["select min(cn.name) AS from_company,\nmin(lt.link) AS movie_link_type,\nmin(t.title) AS sequel_movie\nfrom movie_link AS ml\ninner join movie_keyword AS mk\non ml.movie_id = mk.movie_id\ninner join movie_companies AS mc\non ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND mc.note IS NULL\ninner join company_name AS cn\non mc.company_id = cn.id AND cn.country_code <> '[pl]' AND ( cn.name like '%Film%' OR cn.name like '%Warner%')\ninner join company_type AS ct\non mc.company_type_id = ct.id AND ct.kind = 'production companies'\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword = 'sequel'\ninner join title AS t\non t.id = mk.movie_id AND ml.movie_id = t.id AND t.id = mc.movie_id AND t.production_year = 1998 AND t.title like '%Money%'\ninner join link_type AS lt\non lt.id = ml.link_type_id AND lt.link like '%follows%';", 1968.395]
["SELECT MIN(mi.info) AS movie_budget,\n MIN(mi_idx.info) AS movie_votes,\n MIN(n.name) AS male_writer,\n MIN(t.title) AS violent_movie_title\nFROM cast_info AS ci,\n info_type AS it1,\n info_type AS it2,\n keyword AS k,\n movie_info AS mi,\n movie_info_idx AS mi_idx,\n movie_keyword AS mk,\n name AS n,\n title AS t\nWHERE ci.note IN ('(writer)',\n '(head writer)',\n '(written by)',\n '(story)',\n '(story editor)')\n AND it1.info = 'genres'\n AND it2.info = 'votes'\n AND k.keyword IN ('murder',\n 'violence',\n 'blood',\n 'gore',\n 'death',\n 'female-nudity',\n 'hospital')\n AND mi.info IN ('Horror',\n 'Action',\n 'Sci-Fi',\n 'Thriller',\n 'Crime',\n 'War')\n AND n.gender = 'm'\n AND t.id = mi.movie_id\n AND t.id = mi_idx.movie_id\n AND t.id = ci.movie_id\n AND t.id = mk.movie_id\n AND ci.movie_id = mi.movie_id\n AND ci.movie_id = mi_idx.movie_id\n AND ci.movie_id = mk.movie_id\n AND mi.movie_id = mi_idx.movie_id\n AND mi.movie_id = mk.movie_id\n AND mi_idx.movie_id = mk.movie_id\n AND n.id = ci.person_id\n AND it1.id = mi.info_type_id\n AND it2.id = mi_idx.info_type_id\n AND k.id = mk.keyword_id;\n\n", 4676.009]
["select min(mi.info) AS movie_budget,\nmin(mi_idx.info) AS movie_votes,\nmin(n.name) AS male_writer,\nmin(t.title) AS violent_movie_title\nfrom movie_keyword AS mk\ninner join cast_info AS ci\non ci.movie_id = mk.movie_id AND ci.note IN ('(writer)',\n'(head writer)',\n'(written by)',\n'(story)',\n'(story editor)')\ninner join name AS n\non n.id = ci.person_id AND n.gender = 'm'\ninner join movie_info_idx AS mi_idx\non ci.movie_id = mi_idx.movie_id AND mi_idx.movie_id = mk.movie_id\ninner join title AS t\non t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id\ninner join movie_info AS mi\non ci.movie_id = mi.movie_id AND t.id = mi.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.info IN ('Horror',\n'Action',\n'Sci-Fi',\n'Thriller',\n'Crime',\n'War')\ninner join info_type AS it2\non it2.id = mi_idx.info_type_id AND it2.info = 'votes'\ninner join info_type AS it1\non it1.id = mi.info_type_id AND it1.info = 'genres'\ninner join keyword AS k\non k.id = mk.keyword_id AND k.keyword IN ('murder',\n'violence',\n'blood',\n'gore',\n'death',\n'female-nudity',\n'hospital');", 8603.541]
["SELECT MIN(kt.kind) AS movie_kind,\n MIN(t.title) AS complete_nerdy_internet_movie\nFROM complete_cast AS cc,\n comp_cast_type AS cct1,\n company_name AS cn,\n company_type AS ct,\n info_type AS it1,\n keyword AS k,\n kind_type AS kt,\n movie_companies AS mc,\n movie_info AS mi,\n movie_keyword AS mk,\n title AS t\nWHERE cct1.kind = 'complete+verified'\n AND cn.country_code = '[us]'\n AND it1.info = 'release dates'\n AND k.keyword IN ('nerd',\n 'loner',\n 'alienation',\n 'dignity')\n AND kt.kind IN ('movie')\n AND mi.note LIKE '%internet%'\n AND mi.info LIKE 'USA:% 200%'\n AND t.production_year > 2000\n AND kt.id = t.kind_id\n AND t.id = mi.movie_id\n AND t.id = mk.movie_id\n AND t.id = mc.movie_id\n AND t.id = cc.movie_id\n AND mk.movie_id = mi.movie_id\n AND mk.movie_id = mc.movie_id\n AND mk.movie_id = cc.movie_id\n AND mi.movie_id = mc.movie_id\n AND mi.movie_id = cc.movie_id\n AND mc.movie_id = cc.movie_id\n AND k.id = mk.keyword_id\n AND it1.id = mi.info_type_id\n AND cn.id = mc.company_id\n AND ct.id = mc.company_type_id\n AND cct1.id = cc.status_id;\n\n", 1278.337]
["select min(kt.kind) AS movie_kind,\nmin(t.title) AS complete_nerdy_internet_movie\nfrom movie_keyword AS mk\ninner join complete_cast AS cc\non mk.movie_id = cc.movie_id\ninner join title AS t\non t.id = cc.movie_id AND t.id = mk.movie_id AND t.production_year > 2000\ninner join movie_companies AS mc\non mk.movie_id = mc.movie_id AND t.id = mc.movie_id AND mc.movie_id = cc.movie_id\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[us]'\ninner join comp_cast_type AS cct1\non cct1.id = cc.status_id AND cct1.kind = 'complete+verified'\ninner join company_type AS ct\non ct.id = mc.company_type_id\ninner join keyword AS k\non k.id = mk.keyword_id AND k.keyword IN ('nerd',\n'loner',\n'alienation',\n'dignity')\ninner join movie_info AS mi\non mi.movie_id = mc.movie_id AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND mi.movie_id = cc.movie_id AND mi.note like '%internet%' AND mi.info like 'USA:% 200%'\ninner join info_type AS it1\non it1.id = mi.info_type_id AND it1.info = 'release dates'\ninner join kind_type AS kt\non kt.id = t.kind_id AND kt.kind IN ('movie');", 3665.47]
["select min(kt.kind) AS movie_kind,\nmin(t.title) AS complete_nerdy_internet_movie\nfrom title AS t\ninner join movie_info AS mi\non t.id = mi.movie_id AND t.production_year > 2000 AND mi.note like '%internet%' AND mi.info like 'USA:% 200%'\ninner join movie_keyword AS mk\non t.id = mk.movie_id AND mk.movie_id = mi.movie_id\ninner join complete_cast AS cc\non mi.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND t.id = cc.movie_id\ninner join movie_companies AS mc\non mk.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND t.id = mc.movie_id AND mc.movie_id = cc.movie_id\ninner join comp_cast_type AS cct1\non cct1.id = cc.status_id AND cct1.kind = 'complete+verified'\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[us]'\ninner join info_type AS it1\non it1.id = mi.info_type_id AND it1.info = 'release dates'\ninner join company_type AS ct\non ct.id = mc.company_type_id\ninner join kind_type AS kt\non kt.id = t.kind_id AND kt.kind IN ('movie')\ninner join keyword AS k\non k.id = mk.keyword_id AND k.keyword IN ('nerd',\n'loner',\n'alienation',\n'dignity');", 1239.244]
["SELECT MIN(t.title) AS complete_downey_ironman_movie\nFROM complete_cast AS cc,\n comp_cast_type AS cct1,\n comp_cast_type AS cct2,\n char_name AS chn,\n cast_info AS ci,\n keyword AS k,\n kind_type AS kt,\n movie_keyword AS mk,\n name AS n,\n title AS t\nWHERE cct1.kind = 'cast'\n AND cct2.kind LIKE '%complete%'\n AND chn.name NOT LIKE '%Sherlock%'\n AND (chn.name LIKE '%Tony%Stark%'\n OR chn.name LIKE '%Iron%Man%')\n AND k.keyword IN ('superhero',\n 'sequel',\n 'second-part',\n 'marvel-comics',\n 'based-on-comic',\n 'tv-special',\n 'fight',\n 'violence')\n AND kt.kind = 'movie'\n AND n.name LIKE '%Downey%Robert%'\n AND t.production_year > 2000\n AND kt.id = t.kind_id\n AND t.id = mk.movie_id\n AND t.id = ci.movie_id\n AND t.id = cc.movie_id\n AND mk.movie_id = ci.movie_id\n AND mk.movie_id = cc.movie_id\n AND ci.movie_id = cc.movie_id\n AND chn.id = ci.person_role_id\n AND n.id = ci.person_id\n AND k.id = mk.keyword_id\n AND cct1.id = cc.subject_id\n AND cct2.id = cc.status_id;\n\n", 4625.498]
["select min(t.title) AS complete_downey_ironman_movie\nfrom movie_keyword AS mk\ninner join complete_cast AS cc\non mk.movie_id = cc.movie_id\ninner join title AS t\non t.id = mk.movie_id AND t.id = cc.movie_id AND t.production_year > 2000\ninner join comp_cast_type AS cct1\non cct1.id = cc.subject_id AND cct1.kind = 'cast'\ninner join cast_info AS ci\non mk.movie_id = ci.movie_id AND t.id = ci.movie_id AND ci.movie_id = cc.movie_id\ninner join comp_cast_type AS cct2\non cct2.id = cc.status_id AND cct2.kind like '%complete%'\ninner join name AS n\non n.id = ci.person_id AND n.name like '%Downey%Robert%'\ninner join keyword AS k\non k.id = mk.keyword_id AND k.keyword IN ('superhero',\n'sequel',\n'second-part',\n'marvel-comics',\n'based-on-comic',\n'tv-special',\n'fight',\n'violence')\ninner join kind_type AS kt\non kt.id = t.kind_id AND kt.kind = 'movie'\ninner join char_name AS chn\non chn.id = ci.person_role_id AND chn.name not like '%Sherlock%' AND ( chn.name like '%Tony%Stark%' OR chn.name like '%Iron%Man%');", 15687.747]
["select min(an.name) AS acress_pseudonym,\nmin(t.title) AS japanese_anime_movie\nfrom aka_name AS an\ninner join cast_info AS ci\non an.person_id = ci.person_id AND ci.note = '(voice: English version)'\ninner join name AS n\non n.id = ci.person_id AND an.person_id = n.id AND n.name like '%Yo%' AND n.name not like '%Yu%'\ninner join title AS t\non ci.movie_id = t.id AND t.production_year BETWEEN 2006 AND 2007 AND ( t.title like 'One Piece%' OR t.title like 'Dragon Ball Z%')\ninner join role_type AS rt\non ci.role_id = rt.id AND rt.role = 'actress'\ninner join movie_companies AS mc\non ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND mc.note like '%(Japan)%' AND mc.note not like '%(USA)%' AND ( mc.note like '%(2006)%' OR mc.note like '%(2007)%')\ninner join company_name AS cn\non mc.company_id = cn.id AND cn.country_code = '[jp]';", 2222.12]
["select min(mi.info) AS movie_budget,\nmin(mi_idx.info) AS movie_votes,\nmin(t.title) AS movie_title\nfrom movie_info_idx AS mi_idx\ninner join cast_info AS ci\non ci.movie_id = mi_idx.movie_id AND ci.note IN ('(producer)',\n'(executive producer)')\ninner join title AS t\non t.id = ci.movie_id AND t.id = mi_idx.movie_id\ninner join name AS n\non n.id = ci.person_id AND n.gender = 'm' AND n.name like '%Tim%'\ninner join movie_info AS mi\non t.id = mi.movie_id AND ci.movie_id = mi.movie_id AND mi.movie_id = mi_idx.movie_id\ninner join info_type AS it1\non it1.id = mi.info_type_id AND it1.info = 'budget'\ninner join info_type AS it2\non it2.id = mi_idx.info_type_id AND it2.info = 'votes';", 4790.378]
["SELECT MIN(cn.name) AS movie_company,\n MIN(mi_idx.info) AS rating,\n MIN(t.title) AS mainstream_movie\nFROM company_name AS cn,\n company_type AS ct,\n info_type AS it1,\n info_type AS it2,\n movie_companies AS mc,\n movie_info AS mi,\n movie_info_idx AS mi_idx,\n title AS t\nWHERE cn.country_code = '[us]'\n AND ct.kind = 'production companies'\n AND it1.info = 'genres'\n AND it2.info = 'rating'\n AND mi.info IN ('Drama',\n 'Horror',\n 'Western',\n 'Family')\n AND mi_idx.info > '7.0'\n AND t.production_year BETWEEN 2000 AND 2010\n AND t.id = mi.movie_id\n AND t.id = mi_idx.movie_id\n AND mi.info_type_id = it1.id\n AND mi_idx.info_type_id = it2.id\n AND t.id = mc.movie_id\n AND ct.id = mc.company_type_id\n AND cn.id = mc.company_id\n AND mc.movie_id = mi.movie_id\n AND mc.movie_id = mi_idx.movie_id\n AND mi.movie_id = mi_idx.movie_id;\n\n", 1934.814]
["select min(cn.name) AS movie_company,\nmin(mi_idx.info) AS rating,\nmin(t.title) AS mainstream_movie\nfrom movie_companies AS mc\ninner join movie_info_idx AS mi_idx\non mc.movie_id = mi_idx.movie_id AND mi_idx.info > '7.0'\ninner join movie_info AS mi\non mi.movie_id = mi_idx.movie_id AND mc.movie_id = mi.movie_id AND mi.info IN ('Drama',\n'Horror',\n'Western',\n'Family')\ninner join title AS t\non t.id = mi_idx.movie_id AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.production_year BETWEEN 2000 AND 2010\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[us]'\ninner join info_type AS it2\non mi_idx.info_type_id = it2.id AND it2.info = 'rating'\ninner join info_type AS it1\non mi.info_type_id = it1.id AND it1.info = 'genres'\ninner join company_type AS ct\non ct.id = mc.company_type_id AND ct.kind = 'production companies';", 2674.976]
["select min(kt.kind) AS movie_kind,\nmin(t.title) AS complete_nerdy_internet_movie\nfrom movie_keyword AS mk\ninner join complete_cast AS cc\non mk.movie_id = cc.movie_id\ninner join title AS t\non t.id = mk.movie_id AND t.id = cc.movie_id AND t.production_year > 2000\ninner join movie_companies AS mc\non mk.movie_id = mc.movie_id AND t.id = mc.movie_id AND mc.movie_id = cc.movie_id\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[us]'\ninner join comp_cast_type AS cct1\non cct1.id = cc.status_id AND cct1.kind = 'complete+verified'\ninner join company_type AS ct\non ct.id = mc.company_type_id\ninner join keyword AS k\non k.id = mk.keyword_id AND k.keyword IN ('nerd',\n'loner',\n'alienation',\n'dignity')\ninner join kind_type AS kt\non kt.id = t.kind_id AND kt.kind IN ('movie')\ninner join movie_info AS mi\non mi.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND mi.note like '%internet%' AND mi.info like 'USA:% 200%'\ninner join info_type AS it1\non it1.id = mi.info_type_id AND it1.info = 'release dates';", 3536.539]
["SELECT MIN(k.keyword) AS movie_keyword,\n MIN(n.name) AS actor_name,\n MIN(t.title) AS marvel_movie\nFROM cast_info AS ci,\n keyword AS k,\n movie_keyword AS mk,\n name AS n,\n title AS t\nWHERE k.keyword = 'marvel-cinematic-universe'\n AND n.name LIKE '%Downey%Robert%'\n AND t.production_year > 2014\n AND k.id = mk.keyword_id\n AND t.id = mk.movie_id\n AND t.id = ci.movie_id\n AND ci.movie_id = mk.movie_id\n AND n.id = ci.person_id;\n\n", 2633.519]
["select min(k.keyword) AS movie_keyword,\nmin(n.name) AS actor_name,\nmin(t.title) AS marvel_movie\nfrom cast_info AS ci\ninner join name AS n\non n.id = ci.person_id AND n.name like '%Downey%Robert%'\ninner join movie_keyword AS mk\non ci.movie_id = mk.movie_id\ninner join keyword AS k\non k.id = mk.keyword_id AND k.keyword = 'marvel-cinematic-universe'\ninner join title AS t\non t.id = mk.movie_id AND t.id = ci.movie_id AND t.production_year > 2014;", 3099.968]
["SELECT MIN(at.title) AS aka_title,\n MIN(t.title) AS internet_movie_title\nFROM aka_title AS at,\n company_name AS cn,\n company_type AS ct,\n info_type AS it1,\n keyword AS k,\n movie_companies AS mc,\n movie_info AS mi,\n movie_keyword AS mk,\n title AS t\nWHERE cn.country_code = '[us]'\n AND it1.info = 'release dates'\n AND mi.note LIKE '%internet%'\n AND t.production_year > 1990\n AND t.id = at.movie_id\n AND t.id = mi.movie_id\n AND t.id = mk.movie_id\n AND t.id = mc.movie_id\n AND mk.movie_id = mi.movie_id\n AND mk.movie_id = mc.movie_id\n AND mk.movie_id = at.movie_id\n AND mi.movie_id = mc.movie_id\n AND mi.movie_id = at.movie_id\n AND mc.movie_id = at.movie_id\n AND k.id = mk.keyword_id\n AND it1.id = mi.info_type_id\n AND cn.id = mc.company_id\n AND ct.id = mc.company_type_id;\n\n", 1487.994]
["select min(at.title) AS aka_title,\nmin(t.title) AS internet_movie_title\nfrom movie_keyword AS mk\ninner join keyword AS k\non k.id = mk.keyword_id\ninner join movie_info AS mi\non mk.movie_id = mi.movie_id AND mi.note like '%internet%'\ninner join title AS t\non t.id = mi.movie_id AND t.id = mk.movie_id AND t.production_year > 1990\ninner join aka_title AS at\non mi.movie_id = at.movie_id AND mk.movie_id = at.movie_id AND t.id = at.movie_id\ninner join movie_companies AS mc\non mi.movie_id = mc.movie_id AND t.id = mc.movie_id AND mk.movie_id = mc.movie_id AND mc.movie_id = at.movie_id\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[us]'\ninner join info_type AS it1\non it1.id = mi.info_type_id AND it1.info = 'release dates'\ninner join company_type AS ct\non ct.id = mc.company_type_id;", 2382.507]
["SELECT MIN(cn.name) AS producing_company,\n MIN(lt.link) AS link_type,\n MIN(t.title) AS complete_western_sequel\nFROM complete_cast AS cc,\n comp_cast_type AS cct1,\n comp_cast_type AS cct2,\n company_name AS cn,\n company_type AS ct,\n keyword AS k,\n link_type AS lt,\n movie_companies AS mc,\n movie_info AS mi,\n movie_keyword AS mk,\n movie_link AS ml,\n title AS t\nWHERE cct1.kind = 'cast'\n AND cct2.kind LIKE 'complete%'\n AND cn.country_code !='[pl]'\n AND (cn.name LIKE '%Film%'\n OR cn.name LIKE '%Warner%')\n AND ct.kind ='production companies'\n AND k.keyword ='sequel'\n AND lt.link LIKE '%follow%'\n AND mc.note IS NULL\n AND mi.info IN ('Sweden',\n 'Norway',\n 'Germany',\n 'Denmark',\n 'Swedish',\n 'Denish',\n 'Norwegian',\n 'German',\n 'English')\n AND t.production_year BETWEEN 1950 AND 2010\n AND lt.id = ml.link_type_id\n AND ml.movie_id = t.id\n AND t.id = mk.movie_id\n AND mk.keyword_id = k.id\n AND t.id = mc.movie_id\n AND mc.company_type_id = ct.id\n AND mc.company_id = cn.id\n AND mi.movie_id = t.id\n AND t.id = cc.movie_id\n AND cct1.id = cc.subject_id\n AND cct2.id = cc.status_id\n AND ml.movie_id = mk.movie_id\n AND ml.movie_id = mc.movie_id\n AND mk.movie_id = mc.movie_id\n AND ml.movie_id = mi.movie_id\n AND mk.movie_id = mi.movie_id\n AND mc.movie_id = mi.movie_id\n AND ml.movie_id = cc.movie_id\n AND mk.movie_id = cc.movie_id\n AND mc.movie_id = cc.movie_id\n AND mi.movie_id = cc.movie_id;\n\n", 2341.925]
["select min(cn.name) AS producing_company,\nmin(lt.link) AS link_type,\nmin(t.title) AS complete_western_sequel\nfrom movie_keyword AS mk\ninner join complete_cast AS cc\non mk.movie_id = cc.movie_id\ninner join movie_link AS ml\non ml.movie_id = mk.movie_id AND ml.movie_id = cc.movie_id\ninner join movie_companies AS mc\non mk.movie_id = mc.movie_id AND ml.movie_id = mc.movie_id AND mc.movie_id = cc.movie_id AND mc.note IS NULL\ninner join title AS t\non t.id = mk.movie_id AND ml.movie_id = t.id AND t.id = mc.movie_id AND t.id = cc.movie_id AND t.production_year BETWEEN 1950 AND 2010\ninner join comp_cast_type AS cct2\non cct2.id = cc.status_id AND cct2.kind like 'complete%'\ninner join comp_cast_type AS cct1\non cct1.id = cc.subject_id AND cct1.kind = 'cast'\ninner join company_name AS cn\non mc.company_id = cn.id AND cn.country_code <> '[pl]' AND ( cn.name like '%Film%' OR cn.name like '%Warner%')\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword = 'sequel'\ninner join movie_info AS mi\non mc.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mi.movie_id = cc.movie_id AND ml.movie_id = mi.movie_id AND mi.movie_id = t.id AND mi.info IN ('Sweden',\n'Norway',\n'Germany',\n'Denmark',\n'Swedish',\n'Denish',\n'Norwegian',\n'German',\n'English')\ninner join company_type AS ct\non mc.company_type_id = ct.id AND ct.kind = 'production companies'\ninner join link_type AS lt\non lt.id = ml.link_type_id AND lt.link like '%follow%';", 3505.238]
["SELECT MIN(cn.name) AS movie_company,\n MIN(mi_idx.info) AS rating,\n MIN(t.title) AS western_violent_movie\nFROM company_name AS cn,\n company_type AS ct,\n info_type AS it1,\n info_type AS it2,\n keyword AS k,\n kind_type AS kt,\n movie_companies AS mc,\n movie_info AS mi,\n movie_info_idx AS mi_idx,\n movie_keyword AS mk,\n title AS t\nWHERE cn.country_code != '[us]'\n AND it1.info = 'countries'\n AND it2.info = 'rating'\n AND k.keyword IN ('murder',\n 'murder-in-title',\n 'blood',\n 'violence')\n AND kt.kind IN ('movie',\n 'episode')\n AND mc.note NOT LIKE '%(USA)%'\n AND mc.note LIKE '%(200%)%'\n AND mi.info IN ('Germany',\n 'German',\n 'USA',\n 'American')\n AND mi_idx.info < '7.0'\n AND t.production_year > 2008\n AND kt.id = t.kind_id\n AND t.id = mi.movie_id\n AND t.id = mk.movie_id\n AND t.id = mi_idx.movie_id\n AND t.id = mc.movie_id\n AND mk.movie_id = mi.movie_id\n AND mk.movie_id = mi_idx.movie_id\n AND mk.movie_id = mc.movie_id\n AND mi.movie_id = mi_idx.movie_id\n AND mi.movie_id = mc.movie_id\n AND mc.movie_id = mi_idx.movie_id\n AND k.id = mk.keyword_id\n AND it1.id = mi.info_type_id\n AND it2.id = mi_idx.info_type_id\n AND ct.id = mc.company_type_id\n AND cn.id = mc.company_id;\n\n", 1898.893]
["select min(cn.name) AS movie_company,\nmin(mi_idx.info) AS rating,\nmin(t.title) AS western_violent_movie\nfrom movie_keyword AS mk\ninner join movie_companies AS mc\non mk.movie_id = mc.movie_id AND mc.note not like '%(USA)%' AND mc.note like '%(200%)%'\ninner join title AS t\non t.id = mc.movie_id AND t.id = mk.movie_id AND t.production_year > 2008\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code <> '[us]'\ninner join company_type AS ct\non ct.id = mc.company_type_id\ninner join kind_type AS kt\non kt.id = t.kind_id AND kt.kind IN ('movie',\n'episode')\ninner join movie_info AS mi\non mk.movie_id = mi.movie_id AND mi.movie_id = mc.movie_id AND t.id = mi.movie_id AND mi.info IN ('Germany',\n'German',\n'USA',\n'American')\ninner join info_type AS it1\non it1.id = mi.info_type_id AND it1.info = 'countries'\ninner join keyword AS k\non k.id = mk.keyword_id AND k.keyword IN ('murder',\n'murder-in-title',\n'blood',\n'violence')\ninner join movie_info_idx AS mi_idx\non mk.movie_id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND mi_idx.info < '7.0'\ninner join info_type AS it2\non it2.id = mi_idx.info_type_id AND it2.info = 'rating';", 4446.921]
["SELECT MIN(mi_idx.info) AS rating,\n MIN(t.title) AS movie_title\nFROM info_type AS it,\n keyword AS k,\n movie_info_idx AS mi_idx,\n movie_keyword AS mk,\n title AS t\nWHERE it.info ='rating'\n AND k.keyword LIKE '%sequel%'\n AND mi_idx.info > '5.0'\n AND t.production_year > 2005\n AND t.id = mi_idx.movie_id\n AND t.id = mk.movie_id\n AND mk.movie_id = mi_idx.movie_id\n AND k.id = mk.keyword_id\n AND it.id = mi_idx.info_type_id;\n\n", 506.463]
["select min(mi_idx.info) AS rating,\nmin(t.title) AS movie_title\nfrom title AS t\ninner join movie_keyword AS mk\non t.id = mk.movie_id AND t.production_year > 2005\ninner join keyword AS k\non k.id = mk.keyword_id AND k.keyword like '%sequel%'\ninner join movie_info_idx AS mi_idx\non mk.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND mi_idx.info > '5.0'\ninner join info_type AS it\non it.id = mi_idx.info_type_id AND it.info = 'rating';", 1112.44]
["select min(at.title) AS aka_title,\nmin(t.title) AS internet_movie_title\nfrom movie_info AS mi\ninner join movie_keyword AS mk\non mk.movie_id = mi.movie_id AND mi.note like '%internet%'\ninner join movie_companies AS mc\non mk.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[us]'\ninner join title AS t\non t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.production_year > 1990\ninner join aka_title AS at\non mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND t.id = at.movie_id AND mk.movie_id = at.movie_id\ninner join keyword AS k\non k.id = mk.keyword_id\ninner join info_type AS it1\non it1.id = mi.info_type_id AND it1.info = 'release dates'\ninner join company_type AS ct\non ct.id = mc.company_type_id;", 2364.957]
["SELECT MIN(n.name) AS member_in_charnamed_movie,\n MIN(n.name) AS a1\nFROM cast_info AS ci,\n company_name AS cn,\n keyword AS k,\n movie_companies AS mc,\n movie_keyword AS mk,\n name AS n,\n title AS t\nWHERE k.keyword ='character-name-in-title'\n AND n.name LIKE 'Z%'\n AND n.id = ci.person_id\n AND ci.movie_id = t.id\n AND t.id = mk.movie_id\n AND mk.keyword_id = k.id\n AND t.id = mc.movie_id\n AND mc.company_id = cn.id\n AND ci.movie_id = mc.movie_id\n AND ci.movie_id = mk.movie_id\n AND mc.movie_id = mk.movie_id;\n\n", 5280.086]
["select min(n.name) AS member_in_charnamed_movie,\nmin(n.name) AS a1\nfrom company_name AS cn\ninner join movie_companies AS mc\non mc.company_id = cn.id\ninner join movie_keyword AS mk\non mc.movie_id = mk.movie_id\ninner join title AS t\non t.id = mk.movie_id AND t.id = mc.movie_id\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword = 'character-name-in-title'\ninner join cast_info AS ci\non ci.movie_id = mc.movie_id AND ci.movie_id = t.id AND ci.movie_id = mk.movie_id\ninner join name AS n\non n.id = ci.person_id AND n.name like 'Z%';", 40705.109]
["select min(t.title) AS movie_title\nfrom movie_keyword AS mk\ninner join title AS t\non t.id = mk.movie_id\ninner join movie_companies AS mc\non mc.movie_id = mk.movie_id AND mc.movie_id = t.id\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[nl]'\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword = 'character-name-in-title';", 5601.563]
["select min(chn.name) AS character,\nmin(t.title) AS russian_mov_with_actor_producer\nfrom movie_companies AS mc\ninner join cast_info AS ci\non ci.movie_id = mc.movie_id AND ci.note like '%(producer)%'\ninner join char_name AS chn\non chn.id = ci.person_role_id\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[ru]'\ninner join title AS t\non t.id = ci.movie_id AND t.id = mc.movie_id AND t.production_year > 2010\ninner join company_type AS ct\non ct.id = mc.company_type_id\ninner join role_type AS rt\non rt.id = ci.role_id AND rt.role = 'actor';", 3524.821]
["select min(cn.name) AS producing_company,\nmin(miidx.info) AS rating,\nmin(t.title) AS movie_about_winning\nfrom movie_companies AS mc\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code = '[us]'\ninner join company_type AS ct\non ct.id = mc.company_type_id AND ct.kind = 'production companies'\ninner join movie_info AS mi\non mi.movie_id = mc.movie_id\ninner join info_type AS it2\non it2.id = mi.info_type_id AND it2.info = 'release dates'\ninner join movie_info_idx AS miidx\non mi.movie_id = miidx.movie_id AND miidx.movie_id = mc.movie_id\ninner join info_type AS it\non it.id = miidx.info_type_id AND it.info = 'rating'\ninner join title AS t\non miidx.movie_id = t.id AND mc.movie_id = t.id AND mi.movie_id = t.id AND t.title <> '' AND ( t.title like '%Champion%' OR t.title like '%Loser%')\ninner join kind_type AS kt\non kt.id = t.kind_id AND kt.kind = 'movie';", 4915.98]
["select min(an.name) AS cool_actor_pseudonym,\nmin(t.title) AS series_named_after_char\nfrom aka_name AS an\ninner join name AS n\non an.person_id = n.id\ninner join cast_info AS ci\non an.person_id = ci.person_id AND n.id = ci.person_id\ninner join movie_keyword AS mk\non ci.movie_id = mk.movie_id\ninner join movie_companies AS mc\non mc.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id\ninner join company_name AS cn\non mc.company_id = cn.id AND cn.country_code = '[us]'\ninner join title AS t\non t.id = mc.movie_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND t.episode_nr >= 50 AND t.episode_nr < 100\ninner join keyword AS k\non mk.keyword_id = k.id AND k.keyword = 'character-name-in-title';", 88532.31224206892]
["select min(mi.info) AS movie_budget,\nmin(mi_idx.info) AS movie_votes,\nmin(t.title) AS movie_title\nfrom movie_info_idx AS mi_idx\ninner join cast_info AS ci\non ci.movie_id = mi_idx.movie_id AND ci.note IN ('(producer)',\n'(executive producer)')\ninner join title AS t\non t.id = ci.movie_id AND t.id = mi_idx.movie_id\ninner join name AS n\non n.id = ci.person_id AND n.gender = 'm' AND n.name like '%Tim%'\ninner join movie_info AS mi\non mi.movie_id = mi_idx.movie_id AND ci.movie_id = mi.movie_id AND t.id = mi.movie_id\ninner join info_type AS it1\non it1.id = mi.info_type_id AND it1.info = 'budget'\ninner join info_type AS it2\non it2.id = mi_idx.info_type_id AND it2.info = 'votes';", 16195.85]
["select min(mc.note) AS production_note,\nmin(t.title) AS movie_title,\nmin(t.production_year) AS movie_year\nfrom movie_info_idx AS mi_idx\ninner join movie_companies AS mc\non mc.movie_id = mi_idx.movie_id AND mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%'\ninner join title AS t\non t.id = mc.movie_id AND t.id = mi_idx.movie_id AND t.production_year > 2000\ninner join info_type AS it\non it.id = mi_idx.info_type_id AND it.info = 'bottom 10 rank'\ninner join company_type AS ct\non ct.id = mc.company_type_id AND ct.kind = 'production companies';", 1859.559]
["select min(cn.name) AS movie_company,\nmin(mi_idx.info) AS rating,\nmin(t.title) AS western_violent_movie\nfrom movie_keyword AS mk\ninner join title AS t\non t.id = mk.movie_id AND t.production_year > 2005\ninner join movie_companies AS mc\non t.id = mc.movie_id AND mk.movie_id = mc.movie_id\ninner join company_name AS cn\non cn.id = mc.company_id AND cn.country_code <> '[us]'\ninner join company_type AS ct\non ct.id = mc.company_type_id\ninner join kind_type AS kt\non kt.id = t.kind_id AND kt.kind IN ('movie',\n'episode')\ninner join movie_info_idx AS mi_idx\non mk.movie_id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND mi_idx.info < '8.5'\ninner join info_type AS it2\non it2.id = mi_idx.info_type_id AND it2.info = 'rating'\ninner join keyword AS k\non k.id = mk.keyword_id AND k.keyword IN ('murder',\n'murder-in-title',\n'blood',\n'violence')\ninner join movie_info AS mi\non mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND mi.info IN ('Sweden',\n'Norway',\n'Germany',\n'Denmark',\n'Swedish',\n'Danish',\n'Norwegian',\n'German',\n'USA',\n'American')\ninner join info_type AS it1\non it1.id = mi.info_type_id AND it1.info = 'countries';", 17683.528]