Planner — IMDB — JOB-22C

SELECT MIN(cn.name) AS movie_company,
       MIN(mi_idx.info) AS rating,
       MIN(t.title) AS western_violent_movie
FROM 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 cn.country_code != '[us]'
  AND it1.info = 'countries'
  AND it2.info = 'rating'
  AND k.keyword IN ('murder',
                    'murder-in-title',
                    'blood',
                    'violence')
  AND kt.kind IN ('movie',
                  'episode')
  AND mc.note NOT LIKE '%(USA)%'
  AND mc.note LIKE '%(200%)%'
  AND mi.info IN ('Sweden',
                  'Norway',
                  'Germany',
                  'Denmark',
                  'Swedish',
                  'Danish',
                  'Norwegian',
                  'German',
                  'USA',
                  'American')
  AND mi_idx.info < '8.5'
  AND t.production_year > 2005
  AND kt.id = t.kind_id
  AND t.id = mi.movie_id
  AND t.id = mk.movie_id
  AND t.id = mi_idx.movie_id
  AND t.id = mc.movie_id
  AND mk.movie_id = mi.movie_id
  AND mk.movie_id = mi_idx.movie_id
  AND mk.movie_id = mc.movie_id
  AND mi.movie_id = mi_idx.movie_id
  AND mi.movie_id = mc.movie_id
  AND mc.movie_id = mi_idx.movie_id
  AND k.id = mk.keyword_id
  AND it1.id = mi.info_type_id
  AND it2.id = mi_idx.info_type_id
  AND ct.id = mc.company_type_id
  AND cn.id = mc.company_id;

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 4,548,400 4.5M Rank		Estimation Error Est Err 4,626,836 4.6M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 172,996 173K Rank	Estimation Error Est Err 21,489 21K Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 22,358,731 22M Rank		Estimation Error Est Err 32,062,330 32M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 15,531,612 16M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 7,958,403 8M Rank		Estimation Error Est Err 7,396,676 7.4M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 990,624 991K Rank	Estimation Error Est Err 21,490 21K Rank	Estimation Error Est Err 811,141 811K Rank
Estimation Error Est Err 12,766,635 13M Rank		Estimation Error Est Err 18,373,909 18M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 8,645,955 8.6M Rank	Estimation Error Est Err 21,499 21K Rank	Estimation Error Est Err 806,457 806K Rank
Estimation Error Est Err 1,145,749 1.1M Rank		Estimation Error Est Err 3,675,541 3.7M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 6,542,280 6.5M Rank	Estimation Error Est Err 21,489 21K Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 191,982 192K Rank	Estimation Error Est Err 191,979 192K Rank	Estimation Error Est Err 231,099 231K Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 241,318 241K Rank	Estimation Error Est Err 21,489 21K Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 1,156,844 1.2M Rank	Estimation Error Est Err 1,156,840 1.2M Rank	Estimation Error Est Err 1,238,033 1.2M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 1,193,931 1.2M Rank	Estimation Error Est Err 21,489 21K Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 1,517,705 1.5M Rank		Estimation Error Est Err 1,074,491 1.1M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 1,862,522 1.9M Rank	Estimation Error Est Err 21,505 22K Rank	Estimation Error Est Err 1,391,491 1.4M Rank

Actual Query Plans

Query Plan per Engine ?
	Query Plan
	Estimate Actual Operator 1 1 AGGREGATE min, min, min 4 21489 INNER JOIN HASH ON id = company_type_id 4 4 │└TABLE SCAN company_type 1 21489 INNER JOIN HASH ON id72 = company_id 1 23216 │└INNER JOIN HASH ON movie_id65 = movie_id57 3 4115 │ │└INNER JOIN HASH ON id6 = info_type_id58 1 1 │ │ │└TABLE SCAN info_type WHERE info = rating 2 4115 │ │ INNER JOIN HASH ON id33 = movie_id57 4 5316 │ │ │└INNER JOIN HASH ON id11 = info_type_id 1 1 │ │ │ │└TABLE SCAN info_type WHERE info = countries 5 5833 │ │ │ INNER JOIN HASH ON id33 = movie_id49 18 8073 │ │ │ │└INNER JOIN HASH ON id16 = kind_id 2 2 │ │ │ │ │└TABLE SCAN kind_type WHERE kind17 IN(episode,movie) 56 8408 │ │ │ │ INNER JOIN HASH ON id33 = movie_id 129 37091 │ │ │ │ │└INNER JOIN HASH ON id21 = 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 info51 IN(American,Danish,Denmark,German,Germany,Norway,Norwegian,Sweden,Swedish,USA) 1342299 2527 │ │ TABLE SCAN movie_info_idx WHERE info < 8.5 248981 10361 │ TABLE SCAN movie_companies WHERE note68 LIKE '%(200%)%' AND NOT (note68 LIKE '%(USA)%') 120711 1401 TABLE SCAN company_name WHERE country_code <> us
	Estimate Actual Operator - 1 PROJECT a1 AS movie_company, a2 AS rating, a3 AS western_violent_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_2445.movie_id,PROJECTION_2445.movie_id,PROJECTION_2445.movie_id,PROJECTION_2445.movie_id,PROJECTION_2445.movie_id,PROJECTION_2445.movie_id) = tuple(PROJECTION_2418.movie_id,PROJECTION_2418.movie_id,PROJECTION_2418.movie_id,PROJECTION_2418.id,PROJECTION_2418.id,PROJECTION_2418.id) - 133577 │└PROJECT movie_id AS movie_id_right, id, name, title - 133577 │ PROJECT name, movie_id, title, id - 133577 │ INNER JOIN HASH ON PROJECTION_2424.company_type_id = PROJECTION_2421.id - 4 │ │└PROJECT id AS id_right - 4 │ │ PROJECT id - 4 │ │ TABLE SCAN company_type - 133577 │ PROJECT company_type_id, name, movie_id, title, id_left - 133577 │ PROJECT name, company_type_id, movie_id, title, id - 133577 │ INNER JOIN HASH ON PROJECTION_2430.kind_id = PROJECTION_2427.id - 7 │ │└PROJECT id AS id_right - 7 │ │ PROJECT id - 7 │ │ TABLE SCAN kind_type WHERE TRUE - 133577 │ PROJECT kind_id, name, company_type_id, movie_id, title, id AS id_left - 133577 │ PROJECT name, company_type_id, movie_id, title, id, kind_id - 133577 │ INNER JOIN HASH ON PROJECTION_2436.movie_id = PROJECTION_2433.id - 1012920 │ │└PROJECT id, title, kind_id - 1012920 │ │ PROJECT id, title, kind_id - 1012920 │ │ TABLE SCAN title WHERE production_year > 2005 - 299742 │ PROJECT movie_id, name, company_type_id - 299742 │ PROJECT name, company_type_id, movie_id - 299742 │ INNER JOIN HASH ON PROJECTION_2442.id = PROJECTION_2439.company_id - 303271 │ │└PROJECT company_id, company_type_id, movie_id - 303271 │ │ PROJECT company_id, company_type_id, movie_id - 303271 │ │ TABLE SCAN movie_companies WHERE notLike(note,'%(USA)%') AND note LIKE '%(200%)%' - 211073 │ PROJECT id, name - 211073 │ PROJECT id, name - 211073 │ TABLE SCAN company_name WHERE country_code <> 'us' - 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_2457.movie_id,PROJECTION_2457.movie_id) = tuple(PROJECTION_2448.movie_id,PROJECTION_2448.movie_id) - 1325361 │└PROJECT movie_id AS movie_id_right - 1325361 │ PROJECT movie_id - 1325361 │ INNER JOIN HASH ON PROJECTION_2454.info_type_id = PROJECTION_2451.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_2463.keyword_id = PROJECTION_2460.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_2469.movie_id = PROJECTION_2466.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_2475.info_type_id = PROJECTION_2472.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 21489 PROJECT name, info, title 0 21489 INNER JOIN HASH ON id = company_type_id 0 21489 │└INNER JOIN HASH ON id = keyword_id 0 2610972 │ │└INNER JOIN HASH ON movie_id = movie_id 0 35930 │ │ │└INNER JOIN HASH ON info_type_id = id 2 1 │ │ │ │└FILTER id <= 110 2 1 │ │ │ │ TABLE SCAN info_type WHERE info = 'countries' 7 35930 │ │ │ INNER JOIN HASH ON movie_id = movie_id 5 56007 │ │ │ │└INNER JOIN HASH ON id = company_id 29 61806 │ │ │ │ │└INNER JOIN HASH ON movie_id = movie_id 142 106968 │ │ │ │ │ │└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') 994 140451 │ │ │ │ │ │ INNER JOIN HASH ON id = movie_id 4885 454222 │ │ │ │ │ │ │└INNER JOIN HASH ON info_type_id = id 2 1 │ │ │ │ │ │ │ │└FILTER id >= 99 2 1 │ │ │ │ │ │ │ │ TABLE SCAN info_type WHERE info = 'rating' 276007 454222 │ │ │ │ │ │ │ FILTER movie_id <= 2525745 276007 454230 │ │ │ │ │ │ │ TABLE SCAN movie_info_idx WHERE info < '8.5' 505662 143657 │ │ │ │ │ │ FILTER id BETWEEN 2 AND 2525745 505662 143658 │ │ │ │ │ │ TABLE SCAN title WHERE production_year > 2005 521825 62447 │ │ │ │ │ TABLE SCAN movie_companies WHERE ( NOT contains(note,'(USA)')) AND (note LIKE '%(200%)%') 46999 126230 │ │ │ │ TABLE SCAN company_name WHERE country_code != 'us' 2967144 9402 │ │ │ FILTER movie_id BETWEEN 2 AND 2525745 2967144 9402 │ │ │ FILTER IN ... 14835720 22724 │ │ │ INNER JOIN HASH ON info = #0 0 10 │ │ │ │└SCAN MATERIALISED 14835720 22724 │ │ │ TABLE SCAN movie_info WHERE info IN('Sweden','Norway','Germany','Denmark','Swedish','Danish','Norwegian','German','USA','American') 4523930 202452 │ │ TABLE SCAN movie_keyword WHERE movie_id <= 2525745 26834 3 │ FILTER (keyword = 'murder') OR (keyword = 'murder-in-title') OR (keyword = 'blood') OR (keyword = 'violence') 134170 133988 │ TABLE SCAN keyword WHERE keyword IN('murder','murder-in-title','blood','violence') 4 1 TABLE SCAN company_type WHERE id <= 2
	Estimate Actual Operator 1 1 PROJECT movie_company, rating, western_violent_movie 1 1 AGGREGATE MIN(name), MIN(info), MIN(title) 7666 10 DISTRIBUTE GATHER 7666 10 AGGREGATE MIN(name), MIN(info), MIN(title) 7666 21489 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') 26834 23197 INNER JOIN HASH ON movie_id = id AND movie_id = id AND movie_id = id AND movie_id = id 26834 65749 │└DISTRIBUTE GATHER 26834 65749 │ INNER JOIN HASH ON id = keyword_id 26834 3 │ │└DISTRIBUTE GATHER 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') 45898 7193851 │ INNER JOIN HASH ON movie_id = movie_id AND movie_id = movie_id AND movie_id = movie_id 25628 107407 │ │└DISTRIBUTE GATHER 25628 107407 │ │ 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' 25628 322283 │ │ INNER JOIN HASH ON movie_id = movie_id AND movie_id = movie_id 25628 124263 │ │ │└DISTRIBUTE GATHER 25628 124263 │ │ │ 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' 122571 124263 │ │ │ INNER JOIN HASH ON movie_id = movie_id 104366 248388 │ │ │ │└DISTRIBUTE GATHER 104366 248388 │ │ │ │ INNER JOIN HASH ON id = company_type_id 4 4 │ │ │ │ │└TABLE SCAN company_type 104366 248388 │ │ │ │ INNER JOIN HASH ON id = company_id 47000 126230 │ │ │ │ │└DISTRIBUTE GATHER 47000 126230 │ │ │ │ │ FILTER country_code <> 'us' 234997 234997 │ │ │ │ │ TABLE SCAN company_name WHERE country_code <> 'us' 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 (((company_id >= 4) AND (company_id <= 234995)) AND TRUE)) AND (((company_type_id >= 1) AND (company_type_id <= 4)) AND company_type_id IN(1,2,3,4)) 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 >= 82) AND (movie_id <= 2525666)) 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 >= 114) AND (movie_id <= 2525502)) AND ((movie_id >= 114) AND (movie_id <= 2525502))) 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 >= 114) AND (movie_id <= 2525471)) AND ((movie_id >= 114) AND (movie_id <= 2525471))) AND ((movie_id >= 114) AND (movie_id <= 2525471))) AND TRUE) AND (((keyword_id >= 137) AND (keyword_id <= 875)) AND keyword_id IN(875,865,137)) 252832 1012920 FILTER production_year > 2005 2528312 2528312 TABLE SCAN title WHERE ((production_year > 2005) AND ((((((id >= 581) AND (id <= 2525471)) AND ((id >= 581) AND (id <= 2525471))) AND ((id >= 581) AND (id <= 2525471))) AND ((id >= 581) AND (id <= 2525471))) 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) 1530 21489 INNER JOIN HASH ON mi.info_type_id = it1.id 1530 1 │└DISTRIBUTE GATHER 4520000 1 │ TABLE SCAN info_type WHERE it1.info = 'countries' 1530 24612 INNER JOIN HASH ON mc.movie_id = mi.movie_id 1530 716210 │└DISTRIBUTE GATHER 134000 716210 │ TABLE SCAN movie_info WHERE mi.info IN('Sweden','Norway','Germany','Denmark','Swedish','Danish','Norwegian','German','USA','American') 1530 23425 INNER JOIN HASH ON mi_idx.info_type_id = it2.id 1530 1 │└DISTRIBUTE GATHER 7 1 │ TABLE SCAN info_type WHERE it2.info = 'rating' 1530 69686 INNER JOIN HASH ON mc.movie_id = mi_idx.movie_id 1530 23902 │└DISTRIBUTE GATHER 492 23902 │ INNER JOIN HASH ON mc.company_id = cn.id 492 25853 │ │└DISTRIBUTE GATHER 476 25853 │ │ INNER JOIN HASH ON mc.company_type_id = ct.id 476 4 │ │ │└DISTRIBUTE GATHER 4 4 │ │ │ TABLE SCAN company_type 476 25853 │ │ INNER JOIN HASH ON mk.movie_id = mc.movie_id 476 8073 │ │ │└DISTRIBUTE GATHER 186 8073 │ │ │ INNER JOIN HASH ON t.kind_id = kt.id 186 2 │ │ │ │└DISTRIBUTE GATHER 1380000 2 │ │ │ │ TABLE SCAN kind_type WHERE kt.kind IN('movie','episode') 186 9731 │ │ │ INNER JOIN HASH ON mk.movie_id = t.id 186 37091 │ │ │ │└DISTRIBUTE GATHER 176 37091 │ │ │ │ INNER JOIN HASH ON mk.keyword_id = k.id 176 3 │ │ │ │ │└DISTRIBUTE GATHER 113 3 │ │ │ │ │ TABLE SCAN keyword WHERE k.keyword IN('murder','murder-in-title','blood','violence') 14800000 4519843 │ │ │ │ TABLE SCAN movie_keyword 113 1009646 │ │ │ TABLE SCAN title WHERE (t.production_year IS NOT NULL) AND (t.production_year > 2005L) 235000 294675 │ │ TABLE SCAN movie_companies WHERE (mc.note IS NOT NULL) AND ( NOT contains(mc.note,'(USA)')) AND mc.note LIKE '%(200%)%' 2610000 124084 │ TABLE SCAN company_name WHERE (cn.country_code IS NOT NULL) AND ( NOT (cn.country_code = 'us')) 2530000 1293934 TABLE SCAN movie_info_idx WHERE mi_idx.info < '8.5'
	Estimate Actual Operator 1 1 AGGREGATE MIN(name as name) AS Expr1022, MIN(info as info) AS Expr1023, MIN(title as title) AS Expr1024 1 21489 FILTER info as info = 'rating' 2 64082 INNER JOIN LOOP ON Bmk1006 = Bmk1006 1 64082 │└TABLE SEEK info_type AS it2 2 64082 INNER JOIN LOOP ON mi_idx.info_type_id = it2.id 1 64082 │└TABLE SEEK info_type AS it2 2 64082 INNER JOIN LOOP ON t.id = mi_idx.movie_id 2 64082 │└TABLE SEEK movie_info_idx AS mi_idx WHERE info as info < '8.5' 1 21827 FILTER kind as kind = 'episode' OR kind as kind = 'movie' 3 23713 INNER JOIN LOOP ON Bmk1010 = Bmk1010 1 23713 │└TABLE SEEK kind_type AS kt 3 23713 INNER JOIN LOOP ON t.kind_id = kt.id 1 23713 │└TABLE SEEK kind_type AS kt 3 23713 INNER JOIN LOOP ON Bmk1020 = Bmk1020 0 23713 │└TABLE SEEK title AS t WHERE production_year as production_year > 2005 8 67815 PROJECT BmkToPage Bmk1020 AS Expr1079 8 67815 INNER JOIN LOOP ON mk.movie_id = t.id 1 67815 │└TABLE SEEK title AS t 8 67815 FILTER country_code as country_code <> 'us' 15 73168 INNER JOIN LOOP ON Bmk1000 = Bmk1000 1 73168 │└TABLE SEEK company_name AS cn 15 73168 INNER JOIN LOOP ON mc.company_id = cn.id 1 73168 │└TABLE SEEK company_name AS cn 15 73168 FILTER NOT note as note LIKE '%(USA)%' AND note as note LIKE '%(200%)%' 139 258264 INNER JOIN LOOP ON Bmk1012 = Bmk1012 1 258264 │└TABLE SEEK movie_companies AS mc 139 258264 PROJECT BmkToPage Bmk1012 AS Expr1077 139 258264 INNER JOIN LOOP ON mk.movie_id = mc.movie_id 9 258264 │└TABLE SEEK movie_companies AS mc 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 Uniq1015 = Uniq1015 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 m40 1 1 │ TABLE SCAN info_type AS it1 WHERE info as info = 'countries' 362 37091 INNER JOIN LOOP ON Bmk1018 = Bmk1018 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_53 AS rating, min_54 AS western_violent_movie 1 1 AGGREGATE MIN(min_55) AS min, MIN(min_56) AS min_53, MIN(min_57) AS min_54 - 16 DISTRIBUTE GATHER - 16 AGGREGATE MIN(name) AS min_55, MIN(info_36) AS min_56, MIN(title) AS min_57 - 21489 INNER JOIN HASH ON kind_id = id_17 7 2 │└DISTRIBUTE GATHER 7 2 │ PROJECT id AS id_17 7 2 │ FILTER kind IN('episode','movie') 7 2 │ TABLE SCAN kind_type - 23189 INNER JOIN HASH ON movie_id = id_46 247389 1012688 │└DISTRIBUTE HASH ON id_46 247389 1012688 │ PROJECT id AS id_46, title, kind_id 247389 1012688 │ FILTER production_year > 2005 247389 1012688 │ TABLE SCAN title - 65749 INNER JOIN HASH ON keyword_id = id_13 134170 3 │└DISTRIBUTE GATHER 134170 3 │ PROJECT id AS id_13 134170 3 │ FILTER keyword IN('blood','murder','murder-in-title','violence') 134170 3 │ TABLE SCAN keyword - 65749 INNER JOIN HASH ON movie_id = movie_id_42 4523930 37091 │└DISTRIBUTE HASH ON movie_id_42 4523930 37091 │ PROJECT movie_id AS movie_id_42, keyword_id 4523930 37091 │ TABLE SCAN movie_keyword - 36297 INNER JOIN HASH ON info_type_id_35 = id_8 113 1 │└DISTRIBUTE GATHER 113 1 │ PROJECT id AS id_8 113 1 │ FILTER info = 'rating' 113 1 │ TABLE SCAN info_type - 36297 INNER JOIN HASH ON movie_id = movie_id_34 1380035 23199 │└DISTRIBUTE HASH ON movie_id_34 1380035 23199 │ PROJECT movie_id AS movie_id_34, info_type_id AS info_type_id_35, info AS info_36 1380035 23199 │ FILTER info < '8.5' 1380035 23199 │ TABLE SCAN movie_info_idx - 36297 INNER JOIN HASH ON info_type_id = id_4 113 1 │└DISTRIBUTE GATHER 113 1 │ PROJECT id AS id_4 113 1 │ FILTER info = 'countries' 113 1 │ TABLE SCAN info_type - 36297 INNER JOIN HASH ON movie_id = movie_id_27 13352148 15215 │└DISTRIBUTE HASH ON movie_id_27 13352148 15215 │ PROJECT movie_id AS movie_id_27, info_type_id 13352148 15215 │ FILTER info IN('American','Danish','Denmark','German','Germany','Norway','Norwegian','Sweden','Swedish','USA') 13352148 15215 │ TABLE SCAN movie_info - 248388 INNER JOIN HASH ON company_type_id = id_0 4 4 │└DISTRIBUTE GATHER 4 4 │ PROJECT id AS id_0 4 4 │ TABLE SCAN company_type - 248388 INNER JOIN HASH ON id = company_id 2348216 303271 │└DISTRIBUTE HASH ON company_id 2348216 303271 │ FILTER NOT (note LIKE '%(USA)%') AND (note LIKE '%(200%)%') 2348216 303271 │ TABLE SCAN movie_companies 105537 126230 FILTER country_code <> 'us' 105537 126230 TABLE SCAN company_name
	Estimate Actual Operator 1 1 AGGREGATE MIN(name), MIN(info), MIN(title) 1 21489 INNER JOIN LOOP ON id = info_type_id 1 24612 │└INNER JOIN LOOP ON movie_id = movie_id AND movie_id = id AND (movie_id = id) 1 23425 │ │└INNER JOIN LOOP ON id = company_type_id AND (id = company_type_id) 1 23425 │ │ │└INNER JOIN LOOP ON id = company_id 1 25316 │ │ │ │└INNER JOIN LOOP ON movie_id = movie_id AND movie_id = id AND (movie_id = id) 1 5949 │ │ │ │ │└INNER JOIN LOOP ON id = info_type_id 43 17891 │ │ │ │ │ │└INNER JOIN LOOP ON movie_id = movie_id AND movie_id = id AND (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 24219 17922 │ │ │ │ │ │ TABLE SEEK movie_info_idx AS mi_idx WHERE mi_idx.info < '8.5' 5 5 │ │ │ │ │ TABLE SEEK info_type AS it2 WHERE it2.info = 'rating' 5949 25342 │ │ │ │ TABLE SEEK movie_companies AS mc WHERE (mc.note NOT LIKE '%(USA)%') AND (mc.note LIKE '%(200%)%') 25316 25316 │ │ │ TABLE SEEK company_name AS cn WHERE cn.country_code <> 'us' 4 1 │ │ TABLE SCAN company_type AS ct 46850 24596 │ TABLE SEEK movie_info AS mi WHERE mi.info IN('Sweden','Norway','Germany','Denmark','Swedish','Danish','Norwegian','German','USA','American') 24612 24612 TABLE SEEK info_type AS it1 WHERE it1.info = 'countries'