Planner — IMDB — JOB-28C

SELECT MIN(cn.name) AS movie_company,
       MIN(mi_idx.info) AS rating,
       MIN(t.title) AS complete_euro_dark_movie
FROM job.complete_cast AS cc,
     job.comp_cast_type AS cct1,
     job.comp_cast_type AS cct2,
     job.company_name AS cn,
     job.company_type AS ct,
     job.info_type AS it1,
     job.info_type AS it2,
     job.keyword AS k,
     job.kind_type AS kt,
     job.movie_companies AS mc,
     job.movie_info AS mi,
     job.movie_info_idx AS mi_idx,
     job.movie_keyword AS mk,
     job.title AS t
WHERE cct1.kind = 'cast'
  AND cct2.kind = 'complete'
  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 > 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;

Engine Compare

Accuracy chart, rows processed ?
Scan Scan	Seek Seek	Join Probe Join	Sort Sort	Hash Build Hash	Aggregate Agg	Distribute Dist
Estimation Error Est Err 4,539,942 4.5M Rank		Estimation Error Est Err 4,605,430 4.6M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 153,199 153K Rank	Estimation Error Est Err 8,373 8.4K Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 22,493,819 22M Rank		Estimation Error Est Err 31,860,392 32M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 15,628,191 16M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 8,056,221 8.1M Rank		Estimation Error Est Err 8,297,813 8.3M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 4,297,750 4.3M Rank	Estimation Error Est Err 8,374 8.4K Rank	Estimation Error Est Err 2,107,997 2.1M Rank
Estimation Error Est Err 12,777,406 13M Rank		Estimation Error Est Err 8,250,928 8.3M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 5,452,491 5.5M Rank	Estimation Error Est Err 8,383 8.4K Rank	Estimation Error Est Err 2,955,117 3M Rank
Estimation Error Est Err 961,741 962K Rank		Estimation Error Est Err 2,022,014 2M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 3,580,313 3.6M Rank	Estimation Error Est Err 8,373 8.4K Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 110,165 110K Rank	Estimation Error Est Err 110,160 110K Rank	Estimation Error Est Err 131,427 131K Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 129,123 129K Rank	Estimation Error Est Err 8,373 8.4K Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 544,298 544K Rank	Estimation Error Est Err 544,294 544K Rank	Estimation Error Est Err 602,572 603K Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 581,385 581K Rank	Estimation Error Est Err 8,373 8.4K Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 1,522,700 1.5M Rank		Estimation Error Est Err 162,620 163K Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 1,587,067 1.6M Rank	Estimation Error Est Err 8,389 8.4K Rank	Estimation Error Est Err 1,517,723 1.5M Rank

Actual Query Plans

Query Plan per Engine ?
	Query Plan
	Estimate Actual Operator 1 1 AGGREGATE min, min, min 1 8373 INNER JOIN HASH ON id = company_type_id 4 4 │└TABLE SCAN company_type 1 8373 INNER JOIN HASH ON id6 = status_id 1 1 │└TABLE SCAN comp_cast_type WHERE kind = complete 1 8373 INNER JOIN HASH ON id11 = info_type_id93 1 1 │└TABLE SCAN info_type WHERE info = rating 1 8373 INNER JOIN HASH ON movie_id59 = movie_id92 1 8493 │└INNER JOIN HASH ON id81 = company_id 1 8897 │ │└INNER JOIN HASH ON movie_id59 = movie_id74 1 833 │ │ │└INNER JOIN HASH ON id16 = subject_id 1 1 │ │ │ │└TABLE SCAN comp_cast_type WHERE kind = cast 1 1068 │ │ │ INNER JOIN HASH ON movie_id59 = movie_id67 4 5316 │ │ │ │└INNER JOIN HASH ON id21 = info_type_id 1 1 │ │ │ │ │└TABLE SCAN info_type WHERE info = countries 5 5833 │ │ │ │ INNER JOIN HASH ON id43 = movie_id59 18 8073 │ │ │ │ │└INNER JOIN HASH ON id26 = kind_id 2 2 │ │ │ │ │ │└TABLE SCAN kind_type WHERE kind27 IN(episode,movie) 56 8408 │ │ │ │ │ INNER JOIN HASH ON id43 = movie_id 129 37091 │ │ │ │ │ │└INNER JOIN HASH ON id31 = keyword_id 4 3 │ │ │ │ │ │ │└TABLE SCAN keyword WHERE keyword IN(blood,murder,murder - in - title,violence) 4523930 4523930 │ │ │ │ │ │ TABLE SCAN movie_keyword 1049348 6099 │ │ │ │ │ TABLE SCAN title WHERE production_year >= 2006 622984 4071 │ │ │ │ TABLE SCAN movie_info WHERE info BETWEEN American AND USA AND info61 IN(American,Danish,Denmark,German,Germany,Norway,Norwegian,Sweden,Swedish,USA) 113243 613 │ │ │ TABLE SCAN complete_cast 248981 4082 │ │ TABLE SCAN movie_companies WHERE note77 LIKE '%(200%)%' AND NOT (note77 LIKE '%(USA)%') 120711 852 │ TABLE SCAN company_name WHERE country_code <> us 1342299 282 TABLE SCAN movie_info_idx WHERE info < 8.5
	Estimate Actual Operator - 1 PROJECT a1 AS movie_company, a2 AS rating, a3 AS complete_euro_dark_movie - 1 AGGREGATE MIN(name) AS a1, MIN(info) AS a2, MIN(title) AS a3 - 0 PROJECT name, info, title - 0 PROJECT name, info, title - 0 INNER JOIN HASH ON tuple(PROJECTION_3714.movie_id,PROJECTION_3714.movie_id,PROJECTION_3714.movie_id,PROJECTION_3714.movie_id,PROJECTION_3714.movie_id,PROJECTION_3714.movie_id,PROJECTION_3714.movie_id,PROJECTION_3714.movie_id,PROJECTION_3714.movie_id) = tuple(PROJECTION_3669.movie_id,PROJECTION_3669.movie_id,PROJECTION_3669.movie_id,PROJECTION_3669.movie_id,PROJECTION_3669.movie_id,PROJECTION_3669.movie_id,PROJECTION_3669.id,PROJECTION_3669.id,PROJECTION_3669.id) - 15698 │└PROJECT movie_id_right, movie_id AS movie_id_right_2, id, name, title - 15698 │ PROJECT movie_id, movie_id, name, title, id - 15698 │ INNER JOIN HASH ON PROJECTION_3675.company_type_id = PROJECTION_3672.id - 4 │ │└PROJECT id AS id_right - 4 │ │ PROJECT id - 4 │ │ TABLE SCAN company_type - 15698 │ PROJECT company_type_id, movie_id, movie_id, name, title, id_left - 15698 │ PROJECT movie_id, movie_id, company_type_id, name, title, id - 15698 │ INNER JOIN HASH ON PROJECTION_3681.kind_id = PROJECTION_3678.id - 7 │ │└PROJECT id AS id_right - 7 │ │ PROJECT id - 7 │ │ TABLE SCAN kind_type WHERE TRUE - 15698 │ PROJECT kind_id, movie_id, movie_id, company_type_id, name, title, id AS id_left - 15698 │ PROJECT movie_id, movie_id, company_type_id, name, title, id, kind_id - 15698 │ INNER JOIN HASH ON tuple(PROJECTION_3687.movie_id,PROJECTION_3687.movie_id) = tuple(PROJECTION_3684.id,PROJECTION_3684.id) - 1012920 │ │└PROJECT id, title, kind_id - 1012920 │ │ PROJECT id, title, kind_id - 1012920 │ │ TABLE SCAN title WHERE production_year > 2005 - 40944 │ PROJECT movie_id, movie_id, company_type_id, name - 40944 │ PROJECT movie_id, movie_id, company_type_id, name - 40944 │ INNER JOIN HASH ON PROJECTION_3699.movie_id = PROJECTION_3690.movie_id - 299742 │ │└PROJECT movie_id AS movie_id_right, company_type_id, name - 299742 │ │ PROJECT movie_id, company_type_id, name - 299742 │ │ INNER JOIN HASH ON PROJECTION_3696.company_id = PROJECTION_3693.id - 211073 │ │ │└PROJECT id, name - 211073 │ │ │ PROJECT id, name - 211073 │ │ │ TABLE SCAN company_name WHERE country_code <> 'us' - 303271 │ │ PROJECT company_id, movie_id, company_type_id - 303271 │ │ PROJECT movie_id, company_id, company_type_id - 303271 │ │ TABLE SCAN movie_companies WHERE notLike(note,'%(USA)%') AND note LIKE '%(200%)%' - 68062 │ PROJECT movie_id AS movie_id_left - 68062 │ PROJECT movie_id - 68062 │ INNER JOIN HASH ON PROJECTION_3705.status_id = PROJECTION_3702.id - 1 │ │└PROJECT id - 1 │ │ PROJECT id - 1 │ │ TABLE SCAN comp_cast_type WHERE kind = 'complete' - 85941 │ PROJECT status_id, movie_id - 85941 │ PROJECT status_id, movie_id - 85941 │ INNER JOIN HASH ON PROJECTION_3711.subject_id = PROJECTION_3708.id - 1 │ │└PROJECT id - 1 │ │ PROJECT id - 1 │ │ TABLE SCAN comp_cast_type WHERE kind = 'cast' - 135086 │ PROJECT subject_id, status_id, movie_id - 135086 │ PROJECT subject_id, status_id, movie_id - 135086 │ TABLE SCAN complete_cast - 4107697 PROJECT movie_id AS movie_id_left, movie_id AS movie_id_left_2, movie_id AS movie_id_left_3, info - 4107697 PROJECT movie_id, info, movie_id, movie_id - 4107697 INNER JOIN HASH ON tuple(PROJECTION_3726.movie_id,PROJECTION_3726.movie_id) = tuple(PROJECTION_3717.movie_id,PROJECTION_3717.movie_id) - 1325361 │└PROJECT movie_id AS movie_id_right - 1325361 │ PROJECT movie_id - 1325361 │ INNER JOIN HASH ON PROJECTION_3723.info_type_id = PROJECTION_3720.id - 1 │ │└PROJECT id - 1 │ │ PROJECT id - 1 │ │ TABLE SCAN info_type WHERE info = 'countries' - 14835720 │ PROJECT info_type_id, movie_id - 14835720 │ PROJECT movie_id, info_type_id - 14835720 │ TABLE SCAN movie_info WHERE TRUE - 3403472 PROJECT movie_id_left, movie_id AS movie_id_left_2, info - 3403472 PROJECT info, movie_id, movie_id - 3403472 INNER JOIN HASH ON PROJECTION_3732.keyword_id = PROJECTION_3729.id - 134170 │└PROJECT id - 134170 │ PROJECT id - 134170 │ TABLE SCAN keyword WHERE TRUE - 3403472 PROJECT keyword_id, info, movie_id, movie_id - 3403472 PROJECT info, movie_id, movie_id, keyword_id - 3403472 INNER JOIN HASH ON PROJECTION_3738.movie_id = PROJECTION_3735.movie_id - 4523930 │└PROJECT movie_id AS movie_id_right, keyword_id - 4523930 │ PROJECT movie_id, keyword_id - 4523930 │ TABLE SCAN movie_keyword - 454230 PROJECT movie_id AS movie_id_left, info - 454230 PROJECT info, movie_id - 454230 INNER JOIN HASH ON PROJECTION_3744.info_type_id = PROJECTION_3741.id - 1 │└PROJECT id - 1 │ PROJECT id - 1 │ TABLE SCAN info_type WHERE info = 'rating' - 1337634 PROJECT info_type_id, info, movie_id - 1337634 PROJECT movie_id, info, info_type_id - 1337634 TABLE SCAN movie_info_idx WHERE info < '8.5'
	Estimate Actual Operator - 1 AGGREGATE MIN(#0), MIN(#1), MIN(#2) 0 8373 PROJECT name, info, title 0 8373 INNER JOIN HASH ON id = keyword_id 0 1151351 │└INNER JOIN HASH ON movie_id = id 0 11455 │ │└INNER JOIN HASH ON id = info_type_id 0 12681 │ │ │└INNER JOIN HASH ON movie_id = id 0 12856 │ │ │ │└INNER JOIN HASH ON id = company_type_id 0 12856 │ │ │ │ │└INNER JOIN HASH ON id = status_id 0 18121 │ │ │ │ │ │└INNER JOIN HASH ON id = subject_id 0 22710 │ │ │ │ │ │ │└INNER JOIN HASH ON id = company_id 1 23710 │ │ │ │ │ │ │ │└INNER JOIN HASH ON movie_id = id 7 10771 │ │ │ │ │ │ │ │ │└INNER JOIN HASH ON kind_id = id 1 2 │ │ │ │ │ │ │ │ │ │└FILTER (kind = 'movie') OR (kind = 'episode') 7 7 │ │ │ │ │ │ │ │ │ │ TABLE SCAN kind_type WHERE kind IN('movie','episode') 54 11792 │ │ │ │ │ │ │ │ │ INNER JOIN HASH ON id = movie_id 265 94130 │ │ │ │ │ │ │ │ │ │└INNER JOIN HASH ON movie_id = movie_id 4885 454188 │ │ │ │ │ │ │ │ │ │ │└INNER JOIN HASH ON info_type_id = id 2 1 │ │ │ │ │ │ │ │ │ │ │ │└FILTER id >= 99 2 1 │ │ │ │ │ │ │ │ │ │ │ │ TABLE SCAN info_type WHERE info = 'rating' 276007 454188 │ │ │ │ │ │ │ │ │ │ │ FILTER movie_id BETWEEN 285 AND 2525745 276007 454230 │ │ │ │ │ │ │ │ │ │ │ TABLE SCAN movie_info_idx WHERE info < '8.5' 135086 132439 │ │ │ │ │ │ │ │ │ │ FILTER movie_id <= 2525745 135086 132439 │ │ │ │ │ │ │ │ │ │ TABLE SCAN complete_cast WHERE movie_id <= 2525793 505662 8894 │ │ │ │ │ │ │ │ │ FILTER id BETWEEN 285 AND 2525745 505662 8895 │ │ │ │ │ │ │ │ │ TABLE SCAN title WHERE production_year > 2005 521825 20255 │ │ │ │ │ │ │ │ FILTER movie_id >= 285 521825 20255 │ │ │ │ │ │ │ │ TABLE SCAN movie_companies WHERE ( NOT contains(note,'(USA)')) AND (note LIKE '%(200%)%') 46999 1723 │ │ │ │ │ │ │ TABLE SCAN company_name WHERE country_code != 'us' 1 1 │ │ │ │ │ │ FILTER id <= 2 1 1 │ │ │ │ │ │ TABLE SCAN comp_cast_type WHERE kind = 'cast' 1 1 │ │ │ │ │ FILTER id >= 3 1 1 │ │ │ │ │ TABLE SCAN comp_cast_type WHERE kind = 'complete' 4 1 │ │ │ │ TABLE SCAN company_type WHERE id <= 2 2967144 2019 │ │ │ FILTER movie_id BETWEEN 285 AND 2525745 2967144 2019 │ │ │ FILTER IN ... 14835720 137690 │ │ │ INNER JOIN HASH ON info = #0 0 10 │ │ │ │└SCAN MATERIALISED 14835720 137690 │ │ │ TABLE SCAN movie_info WHERE info IN('Sweden','Norway','Germany','Denmark','Swedish','Danish','Norwegian','German','USA','American') 2 1 │ │ FILTER id <= 110 2 1 │ │ TABLE SCAN info_type WHERE info = 'countries' 4523930 72756 │ TABLE SCAN movie_keyword WHERE movie_id >= 285 AND movie_id <= 2525745 26834 3 FILTER (keyword = 'murder') OR (keyword = 'murder-in-title') OR (keyword = 'blood') OR (keyword = 'violence') 134170 133731 TABLE SCAN keyword WHERE keyword IN('murder','murder-in-title','blood','violence')
	Estimate Actual Operator 1 1 PROJECT movie_company, rating, complete_euro_dark_movie 1 1 AGGREGATE MIN(name), MIN(info), MIN(title) 4242 10 DISTRIBUTE GATHER 4242 10 AGGREGATE MIN(name), MIN(info), MIN(title) 4242 8373 INNER JOIN HASH ON id = kind_id 2 2 │└DISTRIBUTE GATHER 2 2 │ FILTER (kind = 'movie') OR (kind = 'episode') 7 7 │ DISTRIBUTE ROUND ROBIN 7 7 │ TABLE SCAN kind_type WHERE (kind = 'movie') OR (kind = 'episode') 14850 8668 INNER JOIN HASH ON movie_id = id AND movie_id = id AND movie_id = id AND movie_id = id AND movie_id = id 14850 22138 │└DISTRIBUTE GATHER 14850 22138 │ INNER JOIN HASH ON keyword_id = id 14850 2469927 │ │└DISTRIBUTE GATHER 14850 2469927 │ │ INNER JOIN HASH ON movie_id = movie_id AND movie_id = movie_id AND movie_id = movie_id AND movie_id = movie_id 8292 28523 │ │ │└DISTRIBUTE GATHER 8292 28523 │ │ │ INNER JOIN HASH ON id = info_type_id 23 1 │ │ │ │└DISTRIBUTE GATHER 23 1 │ │ │ │ FILTER info = 'rating' 113 113 │ │ │ │ DISTRIBUTE ROUND ROBIN 113 113 │ │ │ │ TABLE SCAN info_type WHERE info = 'rating' 8292 84517 │ │ │ INNER JOIN HASH ON movie_id = movie_id AND movie_id = movie_id AND movie_id = movie_id 8292 30159 │ │ │ │└DISTRIBUTE GATHER 8292 30159 │ │ │ │ INNER JOIN HASH ON id = info_type_id 23 1 │ │ │ │ │└DISTRIBUTE GATHER 23 1 │ │ │ │ │ FILTER info = 'countries' 113 113 │ │ │ │ │ DISTRIBUTE ROUND ROBIN 113 113 │ │ │ │ │ TABLE SCAN info_type WHERE info = 'countries' 39662 30159 │ │ │ │ INNER JOIN HASH ON movie_id = movie_id AND movie_id = movie_id 33771 37861 │ │ │ │ │└DISTRIBUTE GATHER 33771 37861 │ │ │ │ │ INNER JOIN HASH ON id = company_type_id 4 4 │ │ │ │ │ │└TABLE SCAN company_type 33771 37861 │ │ │ │ │ INNER JOIN HASH ON company_id = id 33771 41140 │ │ │ │ │ │└DISTRIBUTE GATHER 33771 41140 │ │ │ │ │ │ INNER JOIN HASH ON movie_id = movie_id 33771 68062 │ │ │ │ │ │ │└DISTRIBUTE GATHER 33771 68062 │ │ │ │ │ │ │ INNER JOIN HASH ON id = status_id 1 1 │ │ │ │ │ │ │ │└DISTRIBUTE GATHER 1 1 │ │ │ │ │ │ │ │ FILTER kind = 'complete' 4 4 │ │ │ │ │ │ │ │ DISTRIBUTE ROUND ROBIN 4 4 │ │ │ │ │ │ │ │ TABLE SCAN comp_cast_type WHERE kind = 'complete' 67543 85941 │ │ │ │ │ │ │ INNER JOIN HASH ON id = subject_id 1 1 │ │ │ │ │ │ │ │└DISTRIBUTE GATHER 1 1 │ │ │ │ │ │ │ │ FILTER kind = 'cast' 4 4 │ │ │ │ │ │ │ │ DISTRIBUTE ROUND ROBIN 4 4 │ │ │ │ │ │ │ │ TABLE SCAN comp_cast_type WHERE kind = 'cast' 135086 122880 │ │ │ │ │ │ │ DISTRIBUTE ROUND ROBIN 135086 122880 │ │ │ │ │ │ │ TABLE SCAN complete_cast WHERE (((subject_id >= 1) AND (subject_id <= 1)) AND subject_id IN 1) AND (((status_id >= 3) AND (status_id <= 3)) AND status_id IN 3) 521826 303271 │ │ │ │ │ │ FILTER note NOT LIKE '%(USA)%' AND note LIKE '%(200%)%' 2609129 2609129 │ │ │ │ │ │ TABLE SCAN movie_companies WHERE ((note NOT LIKE '%(USA)%' AND note LIKE '%(200%)%') AND (((movie_id >= 285) AND (movie_id <= 2528181)) AND TRUE)) AND (((company_type_id >= 1) AND (company_type_id <= 4)) AND company_type_id IN(1,2,3,4)) 47000 66758 │ │ │ │ │ FILTER country_code <> 'us' 234997 122880 │ │ │ │ │ TABLE SCAN company_name WHERE (country_code <> 'us') AND (((id >= 1) AND (id <= 88441)) AND TRUE) 2967144 614251 │ │ │ │ FILTER info IN('Sweden','Norway','Germany','Denmark','Swedish','Danish','Norwegian','German','USA','American') 14835720 1355825 │ │ │ │ TABLE SCAN movie_info WHERE (info IN('Sweden','Norway','Germany','Denmark','Swedish','Danish','Norwegian','German','USA','American') AND ((((movie_id >= 1577) AND (movie_id <= 2525362)) AND ((movie_id >= 1577) AND (movie_id <= 2525362))) AND TRUE)) AND (((info_type_id >= 8) AND (info_type_id <= 8)) AND info_type_id IN 8) 276007 1337634 │ │ │ FILTER info < '8.5' 1380035 1380035 │ │ │ TABLE SCAN movie_info_idx WHERE ((info < '8.5') AND (((((movie_id >= 1577) AND (movie_id <= 2524777)) AND ((movie_id >= 1577) AND (movie_id <= 2524777))) AND ((movie_id >= 1577) AND (movie_id <= 2524777))) AND TRUE)) AND (((info_type_id >= 101) AND (info_type_id <= 101)) AND info_type_id IN 101) 4523930 4523930 │ │ TABLE SCAN movie_keyword WHERE (((((movie_id >= 1577) AND (movie_id <= 2524777)) AND ((movie_id >= 1577) AND (movie_id <= 2524777))) AND ((movie_id >= 1577) AND (movie_id <= 2524777))) AND ((movie_id >= 1577) AND (movie_id <= 2524777))) AND TRUE 26834 3 │ FILTER keyword IN('murder','murder-in-title','blood','violence') 134170 134170 │ DISTRIBUTE ROUND ROBIN 134170 134170 │ TABLE SCAN keyword WHERE keyword IN('murder','murder-in-title','blood','violence') AND (((id >= 1) AND (id <= 134136)) AND TRUE) 252832 1012920 FILTER production_year > 2005 2528312 2528312 TABLE SCAN title WHERE ((production_year > 2005) AND (((((((id >= 73272) AND (id <= 2521146)) AND ((id >= 73272) AND (id <= 2521146))) AND ((id >= 73272) AND (id <= 2521146))) AND ((id >= 73272) AND (id <= 2521146))) AND ((id >= 73272) AND (id <= 2521146))) AND TRUE)) AND (((kind_id >= 1) AND (kind_id <= 7)) AND kind_id IN(1,7))
	Estimate Actual Operator 1 1 AGGREGATE MIN(cn.name), MIN(mi_idx.info), MIN(t.title) 1 1 DISTRIBUTE GATHER 1 1 AGGREGATE MIN(cn.name), MIN(mi_idx.info), MIN(t.title) 724 8373 INNER JOIN HASH ON mi_idx.movie_id = t.id 724 893209 │└DISTRIBUTE GATHER 221 893209 │ INNER JOIN HASH ON t.kind_id = kt.id 221 2 │ │└DISTRIBUTE GATHER 4 2 │ │ TABLE SCAN kind_type WHERE kt.kind IN('movie','episode') 135000 1012468 │ TABLE SCAN title WHERE (t.production_year IS NOT NULL) AND (t.production_year > 2005L) 688 22138 INNER JOIN HASH ON mi.movie_id = mk.movie_id 688 37091 │└DISTRIBUTE GATHER 178000 37091 │ INNER JOIN HASH ON mk.keyword_id = k.id 178000 3 │ │└DISTRIBUTE GATHER 235000 3 │ │ TABLE SCAN keyword WHERE k.keyword IN('murder','murder-in-title','blood','violence') 4 4519843 │ TABLE SCAN movie_keyword 688 28523 INNER JOIN HASH ON mi.movie_id = mi_idx.movie_id 688 454230 │└DISTRIBUTE GATHER 173000 454230 │ INNER JOIN HASH ON mi_idx.info_type_id = it2.id 173000 1 │ │└DISTRIBUTE GATHER 14800000 1 │ │ TABLE SCAN info_type WHERE it2.info = 'rating' 2610000 1334982 │ TABLE SCAN movie_info_idx WHERE mi_idx.info < '8.5' 178000 30159 INNER JOIN HASH ON mc.movie_id = mi.movie_id 178000 614251 │└DISTRIBUTE GATHER 67500 614251 │ INNER JOIN HASH ON mi.info_type_id = it1.id 67500 1 │ │└DISTRIBUTE GATHER 1380000 1 │ │ TABLE SCAN info_type WHERE it1.info = 'countries' 113 628871 │ TABLE SCAN movie_info WHERE mi.info IN('Sweden','Norway','Germany','Denmark','Swedish','Danish','Norwegian','German','USA','American') 67500 37861 INNER JOIN HASH ON mc.company_type_id = ct.id 67500 4 │└DISTRIBUTE GATHER 4 4 │ TABLE SCAN company_type 57 37861 INNER JOIN HASH ON mc.company_id = cn.id 57 41140 │└DISTRIBUTE GATHER 276000 41140 │ INNER JOIN HASH ON cc.movie_id = mc.movie_id 276000 68062 │ │└DISTRIBUTE GATHER 176 68062 │ │ INNER JOIN HASH ON cc.status_id = cct2.id 176 1 │ │ │└DISTRIBUTE GATHER 134000 1 │ │ │ TABLE SCAN comp_cast_type WHERE cct2.kind = 'complete' 255000 85063 │ │ INNER JOIN HASH ON cc.subject_id = cct1.id 255000 1 │ │ │└DISTRIBUTE GATHER 7 1 │ │ │ TABLE SCAN comp_cast_type WHERE cct1.kind = 'cast' 2530000 134208 │ │ TABLE SCAN complete_cast WHERE cc.movie_id IS NOT NULL 4520000 301700 │ TABLE SCAN movie_companies WHERE (mc.note IS NOT NULL) AND ( NOT contains(mc.note,'(USA)')) AND mc.note LIKE '%(200%)%' 113 124136 TABLE SCAN company_name WHERE (cn.country_code IS NOT NULL) AND ( NOT (cn.country_code = 'us'))
	Estimate Actual Operator 1 1 AGGREGATE MIN(name as name) AS Expr1028, MIN(info as info) AS Expr1029, MIN(title as title) AS Expr1030 1 8373 FILTER info as info = 'rating' 2 24803 INNER JOIN LOOP ON Bmk1012 = Bmk1012 1 24803 │└TABLE SEEK info_type AS it2 2 24803 INNER JOIN LOOP ON mi_idx.info_type_id = it2.id 1 24803 │└TABLE SEEK info_type AS it2 2 24803 INNER JOIN LOOP ON t.id = mi_idx.movie_id 2 24803 │└TABLE SEEK movie_info_idx AS mi_idx WHERE info as info < '8.5' 1 8493 FILTER kind as kind = 'episode' OR kind as kind = 'movie' 1 8788 INNER JOIN LOOP ON Bmk1016 = Bmk1016 1 8788 │└TABLE SEEK kind_type AS kt 1 8788 INNER JOIN LOOP ON t.kind_id = kt.id 1 8788 │└TABLE SEEK kind_type AS kt 1 8788 INNER JOIN LOOP ON Bmk1026 = Bmk1026 0 8788 │└TABLE SEEK title AS t WHERE production_year as production_year > 2005 3 22323 PROJECT BmkToPage Bmk1026 AS Expr1108 3 22323 INNER JOIN LOOP ON mk.movie_id = t.id 1 22323 │└TABLE SEEK title AS t 3 22323 FILTER country_code as country_code <> 'us' 5 23613 INNER JOIN LOOP ON Bmk1006 = Bmk1006 1 23613 │└TABLE SEEK company_name AS cn 5 23613 INNER JOIN LOOP ON mc.company_id = cn.id 1 23613 │└TABLE SEEK company_name AS cn 5 23613 FILTER NOT note as note LIKE '%(USA)%' AND note as note LIKE '%(200%)%' 50 65101 INNER JOIN LOOP ON Bmk1018 = Bmk1018 1 65101 │└TABLE SEEK movie_companies AS mc 50 65101 PROJECT BmkToPage Bmk1018 AS Expr1106 50 65101 INNER JOIN LOOP ON mk.movie_id = mc.movie_id 9 65101 │└TABLE SEEK movie_companies AS mc 5 5024 FILTER kind as kind = 'cast' 10 7969 INNER JOIN LOOP ON Bmk1002 = Bmk1002 1 7969 │└TABLE SEEK comp_cast_type AS cct1 10 7969 INNER JOIN LOOP ON cc.subject_id = cct1.id 1 7969 │└TABLE SEEK comp_cast_type AS cct1 10 7969 FILTER kind as kind = 'complete' 20 16264 INNER JOIN LOOP ON Bmk1004 = Bmk1004 1 16264 │└TABLE SEEK comp_cast_type AS cct2 20 16264 INNER JOIN LOOP ON cc.status_id = cct2.id 1 16264 │└TABLE SEEK comp_cast_type AS cct2 20 16264 INNER JOIN LOOP ON Bmk1000 = Bmk1000 1 16264 │└TABLE SEEK complete_cast AS cc 20 16264 INNER JOIN LOOP ON mk.movie_id = cc.movie_id 1 16264 │└TABLE SEEK complete_cast AS cc 14 23916 FILTER info as info = 'American' OR info as info = 'Danish' OR info as info = 'Denmark' OR info as info = 'German' OR info as info = 'Germany' OR info as info = 'Norway' OR info as info = 'Norwegian' OR info as info = 'Sweden' OR info as info = 'Swedish' OR info as info = 'USA' 308 44297 INNER JOIN LOOP ON mi.movie_id = mi.movie_id AND Uniq1021 = Uniq1021 1 44297 │└TABLE SEEK movie_info AS mi 308 44297 INNER JOIN LOOP ON it1.id = mi.info_type_id AND mk.movie_id = mi.movie_id 1 44297 │└TABLE SEEK movie_info AS mi 362 37091 INNER JOIN LOOP ON info as info = 'countries' 1 1 │└MATERIALISE AS m48 1 1 │ TABLE SCAN info_type AS it1 WHERE info as info = 'countries' 362 37091 INNER JOIN LOOP ON Bmk1024 = Bmk1024 1 37091 │└TABLE SEEK movie_keyword AS mk 362 37091 INNER JOIN LOOP ON k.id = mk.keyword_id 90 37091 │└TABLE SEEK movie_keyword AS mk 4 3 TABLE SCAN keyword AS k WHERE keyword as keyword = 'blood' OR keyword as keyword = 'murder' OR keyword as keyword = 'murder-in-title' OR keyword as keyword = 'violence'
	Estimate Actual Operator 1 ∞ PROJECT min AS movie_company, min_68 AS rating, min_69 AS complete_euro_dark_movie 1 1 AGGREGATE MIN(min_70) AS min, MIN(min_71) AS min_68, MIN(min_72) AS min_69 - 16 DISTRIBUTE GATHER - 16 AGGREGATE MIN(name) AS min_70, MIN(info_51) AS min_71, MIN(title) AS min_72 - 8373 INNER JOIN HASH ON kind_id = id_31 7 2 │└DISTRIBUTE GATHER 7 2 │ PROJECT id AS id_31 7 2 │ FILTER kind IN('episode','movie') 7 2 │ TABLE SCAN kind_type - 8668 INNER JOIN HASH ON movie_id = id_61 247389 1012688 │└DISTRIBUTE HASH ON id_61 247389 1012688 │ PROJECT id AS id_61, title, kind_id 247389 1012688 │ FILTER production_year > 2005 247389 1012688 │ TABLE SCAN title - 22138 INNER JOIN HASH ON keyword_id = id_27 134170 3 │└DISTRIBUTE GATHER 134170 3 │ PROJECT id AS id_27 134170 3 │ FILTER keyword IN('blood','murder','murder-in-title','violence') 134170 3 │ TABLE SCAN keyword - 22138 INNER JOIN HASH ON movie_id = movie_id_57 4523930 37091 │└DISTRIBUTE HASH ON movie_id_57 4523930 37091 │ PROJECT movie_id AS movie_id_57, keyword_id 4523930 37091 │ TABLE SCAN movie_keyword - 11787 INNER JOIN HASH ON info_type_id_50 = id_22 113 1 │└DISTRIBUTE GATHER 113 1 │ PROJECT id AS id_22 113 1 │ FILTER info = 'rating' 113 1 │ TABLE SCAN info_type - 11787 INNER JOIN HASH ON movie_id = movie_id_49 1380035 23199 │└DISTRIBUTE HASH ON movie_id_49 1380035 23199 │ PROJECT movie_id AS movie_id_49, info_type_id AS info_type_id_50, info AS info_51 1380035 23199 │ FILTER info < '8.5' 1380035 23199 │ TABLE SCAN movie_info_idx - 11787 INNER JOIN HASH ON info_type_id = id_18 113 1 │└DISTRIBUTE GATHER 113 1 │ PROJECT id AS id_18 113 1 │ FILTER info = 'countries' 113 1 │ TABLE SCAN info_type - 11787 INNER JOIN HASH ON movie_id = movie_id_42 13352148 15215 │└DISTRIBUTE HASH ON movie_id_42 13352148 15215 │ PROJECT movie_id AS movie_id_42, info_type_id 13352148 15215 │ FILTER info IN('American','Danish','Denmark','German','Germany','Norway','Norwegian','Sweden','Swedish','USA') 13352148 15215 │ TABLE SCAN movie_info - 10053 INNER JOIN HASH ON company_type_id = id_13 4 4 │└DISTRIBUTE GATHER 4 4 │ PROJECT id AS id_13 4 4 │ TABLE SCAN company_type - 10053 INNER JOIN HASH ON company_id = id_9 105537 126230 │└DISTRIBUTE GATHER 105537 126230 │ PROJECT id AS id_9, name 105537 126230 │ FILTER country_code <> 'us' 105537 126230 │ TABLE SCAN company_name - 10792 INNER JOIN HASH ON movie_id = movie_id_37 2348216 303271 │└DISTRIBUTE HASH ON movie_id_37 2348216 303271 │ PROJECT movie_id AS movie_id_37, company_id, company_type_id 2348216 303271 │ FILTER NOT (note LIKE '%(USA)%') AND (note LIKE '%(200%)%') 2348216 303271 │ TABLE SCAN movie_companies - 1475 INNER JOIN HASH ON status_id = id_4 4 1 │└DISTRIBUTE GATHER 4 1 │ PROJECT id AS id_4 4 1 │ FILTER kind = 'complete' 4 1 │ TABLE SCAN comp_cast_type - 3760 INNER JOIN HASH ON subject_id = id_0 4 1 │└DISTRIBUTE GATHER 4 1 │ PROJECT id AS id_0 4 1 │ FILTER kind = 'cast' 4 1 │ TABLE SCAN comp_cast_type 135086 4993 TABLE SCAN complete_cast
	Estimate Actual Operator 1 1 AGGREGATE MIN(name), MIN(info), MIN(title) 1 8373 INNER JOIN LOOP ON id = company_id 1 8771 │└INNER JOIN LOOP ON id = company_type_id AND (id = company_type_id) 1 8771 │ │└INNER JOIN LOOP ON movie_id = movie_id AND movie_id = id AND (movie_id = id) 1 778 │ │ │└INNER JOIN LOOP ON id = info_type_id 1 2380 │ │ │ │└INNER JOIN LOOP ON id = info_type_id 1 2689 │ │ │ │ │└INNER JOIN LOOP ON movie_id = movie_id AND movie_id = id AND (movie_id = id) 1 2607 │ │ │ │ │ │└INNER JOIN LOOP ON movie_id = movie_id AND movie_id = id AND (movie_id = id) 1 922 │ │ │ │ │ │ │└INNER JOIN LOOP ON keyword IN('murder','murder-in-title','blood','violence') AND id = subject_id AND (id = subject_id) 1 1 │ │ │ │ │ │ │ │└TABLE SCAN comp_cast_type AS cct1 WHERE cct1.kind = 'cast' 1 1195 │ │ │ │ │ │ │ INNER JOIN LOOP ON keyword IN('murder','murder-in-title','blood','violence') AND id = status_id AND (id = status_id) 1 1 │ │ │ │ │ │ │ │└TABLE SCAN comp_cast_type AS cct2 WHERE cct2.kind = 'complete' 1 1558 │ │ │ │ │ │ │ INNER JOIN LOOP ON movie_id = id 15 8073 │ │ │ │ │ │ │ │└INNER JOIN HASH ON kind_id = id 2 2 │ │ │ │ │ │ │ │ │└TABLE SCAN kind_type AS kt WHERE kt.kind IN('movie','episode') 53 9739 │ │ │ │ │ │ │ │ INNER JOIN LOOP ON id = movie_id 135 37091 │ │ │ │ │ │ │ │ │└INNER JOIN LOOP ON keyword_id = id 4 3 │ │ │ │ │ │ │ │ │ │└TABLE SEEK keyword AS k 915 37091 │ │ │ │ │ │ │ │ │ TABLE SEEK movie_keyword AS mk 37091 37091 │ │ │ │ │ │ │ │ TABLE SEEK title AS t WHERE t.production_year > 2005 16146 8073 │ │ │ │ │ │ │ TABLE SEEK complete_cast AS cc 2766 2609 │ │ │ │ │ │ TABLE SEEK movie_info_idx AS mi_idx WHERE mi_idx.info < '8.5' 5214 2685 │ │ │ │ │ TABLE SEEK movie_info AS mi WHERE mi.info IN('Sweden','Norway','Germany','Denmark','Swedish','Danish','Norwegian','German','USA','American') 2689 2689 │ │ │ │ TABLE SEEK info_type AS it1 WHERE it1.info = 'countries' 2380 2380 │ │ │ TABLE SEEK info_type AS it2 WHERE it2.info = 'rating' 778 8768 │ │ TABLE SEEK movie_companies AS mc WHERE (mc.note NOT LIKE '%(USA)%') AND (mc.note LIKE '%(200%)%') 4 1 │ TABLE SCAN company_type AS ct 8771 8771 TABLE SEEK company_name AS cn WHERE cn.country_code <> 'us'