Planner — IMDB — JOB-28B

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 = 'crew'
  AND cct2.kind != 'complete+verified'
  AND cn.country_code != '[us]'
  AND it1.info = 'countries'
  AND it2.info = 'rating'
  AND k.keyword IN ('murder',
                    'murder-in-title',
                    'blood',
                    'violence')
  AND kt.kind IN ('movie',
                  'episode')
  AND mc.note NOT LIKE '%(USA)%'
  AND mc.note LIKE '%(200%)%'
  AND mi.info IN ('Sweden',
                  'Germany',
                  'Swedish',
                  'German')
  AND mi_idx.info > '6.5'
  AND t.production_year > 2005
  AND kt.id = t.kind_id
  AND t.id = mi.movie_id
  AND t.id = mk.movie_id
  AND t.id = mi_idx.movie_id
  AND t.id = mc.movie_id
  AND t.id = cc.movie_id
  AND mk.movie_id = mi.movie_id
  AND mk.movie_id = mi_idx.movie_id
  AND mk.movie_id = mc.movie_id
  AND mk.movie_id = cc.movie_id
  AND mi.movie_id = mi_idx.movie_id
  AND mi.movie_id = mc.movie_id
  AND mi.movie_id = cc.movie_id
  AND mc.movie_id = mi_idx.movie_id
  AND mc.movie_id = cc.movie_id
  AND mi_idx.movie_id = cc.movie_id
  AND k.id = mk.keyword_id
  AND it1.id = mi.info_type_id
  AND it2.id = mi_idx.info_type_id
  AND ct.id = mc.company_type_id
  AND cn.id = mc.company_id
  AND cct1.id = cc.subject_id
  AND cct2.id = cc.status_id;

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 4,527,948 4.5M Rank		Estimation Error Est Err 4,535,428 4.5M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 80,854 81K Rank	Estimation Error Est Err 148 148 Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 21,464,454 21M Rank		Estimation Error Est Err 22,786,252 23M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 11,315,554 11M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 6,261,676 6.3M Rank		Estimation Error Est Err 7,133,238 7.1M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 1,300,904 1.3M Rank	Estimation Error Est Err 150 150 Rank	Estimation Error Est Err 237,645 238K Rank
Estimation Error Est Err 12,543,852 13M Rank		Estimation Error Est Err 6,372,296 6.4M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 508,933 509K Rank	Estimation Error Est Err 158 158 Rank	Estimation Error Est Err 510,819 511K Rank
Estimation Error Est Err 391,318 391K Rank		Estimation Error Est Err 404,535 405K Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 536,342 536K Rank	Estimation Error Est Err 148 148 Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 92,594 93K Rank	Estimation Error Est Err 92,588 93K Rank	Estimation Error Est Err 109,281 109K Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 115,483 115K Rank	Estimation Error Est Err 148 148 Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 184,044 184K Rank	Estimation Error Est Err 184,040 184K Rank	Estimation Error Est Err 223,187 223K Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 221,131 221K Rank	Estimation Error Est Err 148 148 Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 1,488,273 1.5M Rank		Estimation Error Est Err 8,371 8.4K Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 1,491,736 1.5M Rank	Estimation Error Est Err 164 164 Rank	Estimation Error Est Err 1,488,225 1.5M Rank

Actual Query Plans

Query Plan per Engine ?
	Query Plan
	Estimate Actual Operator 1 1 AGGREGATE min, min, min 1 148 INNER JOIN HASH ON id = company_type_id 4 4 │└TABLE SCAN company_type 1 148 INNER JOIN HASH ON id6 = status_id 3 3 │└TABLE SCAN comp_cast_type WHERE kind != complete + verified 1 148 INNER JOIN HASH ON id11 = info_type_id53 1 1 │└TABLE SCAN info_type WHERE info = rating 1 148 INNER JOIN HASH ON id89 = company_id 1 150 │└INNER JOIN HASH ON id16 = subject_id 1 1 │ │└TABLE SCAN comp_cast_type WHERE kind = crew 1 882 │ INNER JOIN HASH ON movie_id82 = movie_id52 1 60 │ │└INNER JOIN HASH ON movie_id52 = movie_id75 1 202 │ │ │└INNER JOIN HASH ON id21 = kind_id 2 2 │ │ │ │└TABLE SCAN kind_type WHERE kind22 IN(episode,movie) 1 213 │ │ │ INNER JOIN HASH ON id59 = movie_id52 1 722 │ │ │ │└INNER JOIN HASH ON movie_id44 = movie_id52 2 1960 │ │ │ │ │└INNER JOIN HASH ON id26 = info_type_id 1 1 │ │ │ │ │ │└TABLE SCAN info_type WHERE info = countries 40 3967 │ │ │ │ │ INNER JOIN HASH ON movie_id = movie_id44 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 72440 2938 │ │ │ │ │ TABLE SCAN movie_info WHERE info46 IN(German,Germany,Sweden,Swedish) 264062 457 │ │ │ │ TABLE SCAN movie_info_idx WHERE info > 6.5 1049348 118 │ │ │ TABLE SCAN title WHERE production_year >= 2006 50284 32 │ │ TABLE SCAN complete_cast 248981 391 │ TABLE SCAN movie_companies WHERE note85 LIKE '%(200%)%' AND NOT (note85 LIKE '%(USA)%') 120711 67 TABLE SCAN company_name WHERE country_code <> us
	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_3631.movie_id,PROJECTION_3631.movie_id,PROJECTION_3631.movie_id,PROJECTION_3631.movie_id,PROJECTION_3631.movie_id,PROJECTION_3631.movie_id,PROJECTION_3631.movie_id,PROJECTION_3631.movie_id,PROJECTION_3631.movie_id) = tuple(PROJECTION_3586.movie_id,PROJECTION_3586.movie_id,PROJECTION_3586.movie_id,PROJECTION_3586.movie_id,PROJECTION_3586.movie_id,PROJECTION_3586.movie_id,PROJECTION_3586.id,PROJECTION_3586.id,PROJECTION_3586.id) - 5703 │└PROJECT movie_id_right, movie_id AS movie_id_right_2, id, name, title - 5703 │ PROJECT movie_id, movie_id, name, title, id - 5703 │ INNER JOIN HASH ON PROJECTION_3592.company_type_id = PROJECTION_3589.id - 4 │ │└PROJECT id AS id_right - 4 │ │ PROJECT id - 4 │ │ TABLE SCAN company_type - 5703 │ PROJECT company_type_id, movie_id, movie_id, name, title, id_left - 5703 │ PROJECT movie_id, movie_id, company_type_id, name, title, id - 5703 │ INNER JOIN HASH ON PROJECTION_3598.kind_id = PROJECTION_3595.id - 7 │ │└PROJECT id AS id_right - 7 │ │ PROJECT id - 7 │ │ TABLE SCAN kind_type WHERE TRUE - 5703 │ PROJECT kind_id, movie_id, movie_id, company_type_id, name, title, id AS id_left - 5703 │ PROJECT movie_id, movie_id, company_type_id, name, title, id, kind_id - 5703 │ INNER JOIN HASH ON tuple(PROJECTION_3604.movie_id,PROJECTION_3604.movie_id) = tuple(PROJECTION_3601.id,PROJECTION_3601.id) - 1012920 │ │└PROJECT id, title, kind_id - 1012920 │ │ PROJECT id, title, kind_id - 1012920 │ │ TABLE SCAN title WHERE production_year > 2005 - 20546 │ PROJECT movie_id, movie_id, company_type_id, name - 20546 │ PROJECT movie_id, movie_id, company_type_id, name - 20546 │ INNER JOIN HASH ON PROJECTION_3616.movie_id = PROJECTION_3607.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_3613.company_id = PROJECTION_3610.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%)%' - 42432 │ PROJECT movie_id AS movie_id_left - 42432 │ PROJECT movie_id - 42432 │ INNER JOIN HASH ON PROJECTION_3628.id = PROJECTION_3619.status_id - 49145 │ │└PROJECT status_id, movie_id - 49145 │ │ PROJECT status_id, movie_id - 49145 │ │ INNER JOIN HASH ON PROJECTION_3625.subject_id = PROJECTION_3622.id - 1 │ │ │└PROJECT id - 1 │ │ │ PROJECT id - 1 │ │ │ TABLE SCAN comp_cast_type WHERE kind = 'crew' - 135086 │ │ PROJECT subject_id, status_id, movie_id - 135086 │ │ PROJECT subject_id, status_id, movie_id - 135086 │ │ TABLE SCAN complete_cast - 3 │ PROJECT id - 3 │ PROJECT id - 3 │ TABLE SCAN comp_cast_type WHERE kind <> 'complete+verified' - 1933346 PROJECT movie_id AS movie_id_left, movie_id AS movie_id_left_2, movie_id AS movie_id_left_3, info - 1933346 PROJECT movie_id, info, movie_id, movie_id - 1933346 INNER JOIN HASH ON tuple(PROJECTION_3643.movie_id,PROJECTION_3643.movie_id) = tuple(PROJECTION_3634.movie_id,PROJECTION_3634.movie_id) - 1325361 │└PROJECT movie_id AS movie_id_right - 1325361 │ PROJECT movie_id - 1325361 │ INNER JOIN HASH ON PROJECTION_3640.info_type_id = PROJECTION_3637.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 - 1610200 PROJECT movie_id_left, movie_id AS movie_id_left_2, info - 1610200 PROJECT info, movie_id, movie_id - 1610200 INNER JOIN HASH ON PROJECTION_3649.keyword_id = PROJECTION_3646.id - 134170 │└PROJECT id - 134170 │ PROJECT id - 134170 │ TABLE SCAN keyword WHERE TRUE - 1610200 PROJECT keyword_id, info, movie_id, movie_id - 1610200 PROJECT info, movie_id, movie_id, keyword_id - 1610200 INNER JOIN HASH ON PROJECTION_3655.movie_id = PROJECTION_3652.movie_id - 4523930 │└PROJECT movie_id AS movie_id_right, keyword_id - 4523930 │ PROJECT movie_id, keyword_id - 4523930 │ TABLE SCAN movie_keyword - 194914 PROJECT movie_id AS movie_id_left, info - 194914 PROJECT info, movie_id - 194914 INNER JOIN HASH ON PROJECTION_3661.info_type_id = PROJECTION_3658.id - 1 │└PROJECT id - 1 │ PROJECT id - 1 │ TABLE SCAN info_type WHERE info = 'rating' - 308267 PROJECT info_type_id, info, movie_id - 308267 PROJECT movie_id, info, info_type_id - 308267 TABLE SCAN movie_info_idx WHERE info > '6.5'
	Estimate Actual Operator - 1 AGGREGATE MIN(#0), MIN(#1), MIN(#2) 0 148 PROJECT name, info, title 0 148 INNER JOIN HASH ON id = keyword_id 0 15989 │└INNER JOIN HASH ON movie_id = id 0 165 │ │└INNER JOIN HASH ON id = info_type_id 0 253 │ │ │└INNER JOIN HASH ON movie_id = id 0 4055 │ │ │ │└INNER JOIN HASH ON id = company_type_id 0 4055 │ │ │ │ │└INNER JOIN HASH ON id = status_id 0 4207 │ │ │ │ │ │└INNER JOIN HASH ON id = subject_id 0 15201 │ │ │ │ │ │ │└INNER JOIN HASH ON id = company_id 1 15685 │ │ │ │ │ │ │ │└INNER JOIN HASH ON movie_id = id 7 8370 │ │ │ │ │ │ │ │ │└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 8719 │ │ │ │ │ │ │ │ │ INNER JOIN HASH ON id = movie_id 265 47053 │ │ │ │ │ │ │ │ │ │└INNER JOIN HASH ON movie_id = movie_id 4885 194900 │ │ │ │ │ │ │ │ │ │ │└INNER JOIN HASH ON info_type_id = id 2 1 │ │ │ │ │ │ │ │ │ │ │ │└FILTER id >= 99 2 1 │ │ │ │ │ │ │ │ │ │ │ │ TABLE SCAN info_type WHERE info = 'rating' 276007 194900 │ │ │ │ │ │ │ │ │ │ │ FILTER movie_id BETWEEN 285 AND 2525745 276007 194914 │ │ │ │ │ │ │ │ │ │ │ TABLE SCAN movie_info_idx WHERE info > '6.5' 135086 132439 │ │ │ │ │ │ │ │ │ │ FILTER movie_id <= 2525745 135086 132439 │ │ │ │ │ │ │ │ │ │ TABLE SCAN complete_cast WHERE movie_id <= 2525793 505662 6408 │ │ │ │ │ │ │ │ │ FILTER id BETWEEN 285 AND 2525745 505662 6408 │ │ │ │ │ │ │ │ │ TABLE SCAN title WHERE production_year > 2005 521825 12072 │ │ │ │ │ │ │ │ FILTER movie_id >= 285 521825 12072 │ │ │ │ │ │ │ │ TABLE SCAN movie_companies WHERE ( NOT contains(note,'(USA)')) AND (note LIKE '%(200%)%') 46999 1304 │ │ │ │ │ │ │ TABLE SCAN company_name WHERE country_code != 'us' 1 1 │ │ │ │ │ │ FILTER id <= 2 1 1 │ │ │ │ │ │ TABLE SCAN comp_cast_type WHERE kind = 'crew' 1 1 │ │ │ │ │ FILTER id >= 3 1 1 │ │ │ │ │ TABLE SCAN comp_cast_type WHERE kind != 'complete+verified' 4 1 │ │ │ │ TABLE SCAN company_type WHERE id <= 2 2967144 90 │ │ │ FILTER movie_id BETWEEN 285 AND 2525745 2967144 90 │ │ │ FILTER (info = 'Sweden') OR (info = 'Germany') OR (info = 'Swedish') OR (info = 'German') 14835720 41034 │ │ │ TABLE SCAN movie_info WHERE info IN('Sweden','Germany','Swedish','German') 2 1 │ │ FILTER id <= 110 2 1 │ │ TABLE SCAN info_type WHERE info = 'countries' 4523930 2114 │ 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 1021 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 148 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 161 INNER JOIN HASH ON movie_id = id AND movie_id = id AND movie_id = id AND movie_id = id AND movie_id = id 14850 1233 │└DISTRIBUTE GATHER 14850 1233 │ INNER JOIN HASH ON keyword_id = id 14850 155130 │ │└DISTRIBUTE GATHER 14850 155130 │ │ INNER JOIN HASH ON movie_id = movie_id AND movie_id = movie_id AND movie_id = movie_id AND movie_id = movie_id 8292 1132 │ │ │└DISTRIBUTE GATHER 8292 1132 │ │ │ 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 1603 │ │ │ INNER JOIN HASH ON movie_id = movie_id AND movie_id = movie_id AND movie_id = movie_id 8292 2030 │ │ │ │└DISTRIBUTE GATHER 8292 2030 │ │ │ │ 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 2030 │ │ │ │ INNER JOIN HASH ON movie_id = movie_id AND movie_id = movie_id 33771 18744 │ │ │ │ │└DISTRIBUTE GATHER 33771 18744 │ │ │ │ │ INNER JOIN HASH ON id = company_type_id 4 4 │ │ │ │ │ │└TABLE SCAN company_type 33771 18744 │ │ │ │ │ INNER JOIN HASH ON company_id = id 33771 20603 │ │ │ │ │ │└DISTRIBUTE GATHER 33771 20603 │ │ │ │ │ │ INNER JOIN HASH ON movie_id = movie_id 33771 42432 │ │ │ │ │ │ │└DISTRIBUTE GATHER 33771 42432 │ │ │ │ │ │ │ INNER JOIN HASH ON id = status_id 1 3 │ │ │ │ │ │ │ │└DISTRIBUTE GATHER 1 3 │ │ │ │ │ │ │ │ FILTER kind <> 'complete+verified' 4 4 │ │ │ │ │ │ │ │ DISTRIBUTE ROUND ROBIN 4 4 │ │ │ │ │ │ │ │ TABLE SCAN comp_cast_type WHERE kind <> 'complete+verified' 67543 49145 │ │ │ │ │ │ │ INNER JOIN HASH ON id = subject_id 1 1 │ │ │ │ │ │ │ │└DISTRIBUTE GATHER 1 1 │ │ │ │ │ │ │ │ FILTER kind = 'crew' 4 4 │ │ │ │ │ │ │ │ DISTRIBUTE ROUND ROBIN 4 4 │ │ │ │ │ │ │ │ TABLE SCAN comp_cast_type WHERE kind = 'crew' 135086 135086 │ │ │ │ │ │ │ DISTRIBUTE ROUND ROBIN 135086 135086 │ │ │ │ │ │ │ TABLE SCAN complete_cast WHERE (((subject_id >= 2) AND (subject_id <= 2)) AND subject_id IN 2) AND (((status_id >= 1) AND (status_id <= 3)) AND status_id IN(1,2,3)) 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 <= 2528312)) 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 >= 2) AND (id <= 70660)) AND TRUE) 2967144 59116 │ │ │ │ FILTER info IN('Sweden','Germany','Swedish','German') 14835720 1355825 │ │ │ │ TABLE SCAN movie_info WHERE (info IN('Sweden','Germany','Swedish','German') AND ((((movie_id >= 1577) AND (movie_id <= 2525009)) AND ((movie_id >= 1577) AND (movie_id <= 2525009))) AND TRUE)) AND (((info_type_id >= 8) AND (info_type_id <= 8)) AND info_type_id IN 8) 276007 308267 │ │ │ FILTER info > '6.5' 1380035 1380035 │ │ │ TABLE SCAN movie_info_idx WHERE ((info > '6.5') AND (((((movie_id >= 1619) AND (movie_id <= 2523918)) AND ((movie_id >= 1619) AND (movie_id <= 2523918))) AND ((movie_id >= 1619) AND (movie_id <= 2523918))) 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 >= 1619) AND (movie_id <= 2507902)) AND ((movie_id >= 1619) AND (movie_id <= 2507902))) AND ((movie_id >= 1619) AND (movie_id <= 2507902))) AND ((movie_id >= 1619) AND (movie_id <= 2507902))) 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 <= 133200)) AND TRUE) 252832 902952 FILTER production_year > 2005 2528312 2282552 TABLE SCAN title WHERE ((production_year > 2005) AND (((((((id >= 391736) AND (id <= 2507902)) AND ((id >= 391736) AND (id <= 2507902))) AND ((id >= 391736) AND (id <= 2507902))) AND ((id >= 391736) AND (id <= 2507902))) AND ((id >= 391736) AND (id <= 2507902))) 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 2 DISTRIBUTE GATHER 1 2 AGGREGATE MIN(cn.name), MIN(mi_idx.info), MIN(t.title) 296 148 INNER JOIN HASH ON mk.movie_id = t.id 296 1233 │└DISTRIBUTE GATHER 281 1233 │ INNER JOIN HASH ON mi.movie_id = mk.movie_id 281 37091 │ │└DISTRIBUTE GATHER 90 37091 │ │ INNER JOIN HASH ON mk.keyword_id = k.id 90 3 │ │ │└DISTRIBUTE GATHER 235000 3 │ │ │ TABLE SCAN keyword WHERE k.keyword IN('murder','murder-in-title','blood','violence') 4 4519843 │ │ TABLE SCAN movie_keyword 90 1132 │ INNER JOIN HASH ON mi.movie_id = mi_idx.movie_id 90 2030 │ │└DISTRIBUTE GATHER 178000 2030 │ │ INNER JOIN HASH ON mi.info_type_id = it1.id 178000 1 │ │ │└DISTRIBUTE GATHER 14800000 1 │ │ │ TABLE SCAN info_type WHERE it1.info = 'countries' 173000 4116 │ │ INNER JOIN HASH ON mc.movie_id = mi.movie_id 173000 134239 │ │ │└DISTRIBUTE GATHER 113 134239 │ │ │ TABLE SCAN movie_info WHERE mi.info IN('Sweden','Germany','Swedish','German') 67500 18744 │ │ INNER JOIN HASH ON mc.company_type_id = ct.id 67500 4 │ │ │└DISTRIBUTE GATHER 1380000 4 │ │ │ TABLE SCAN company_type 67500 18744 │ │ INNER JOIN HASH ON mc.company_id = cn.id 67500 20603 │ │ │└DISTRIBUTE GATHER 276000 20603 │ │ │ INNER JOIN HASH ON cc.movie_id = mc.movie_id 276000 42432 │ │ │ │└DISTRIBUTE GATHER 176 42432 │ │ │ │ INNER JOIN HASH ON cc.status_id = cct2.id 176 3 │ │ │ │ │└DISTRIBUTE GATHER 134000 3 │ │ │ │ │ TABLE SCAN comp_cast_type WHERE NOT (cct2.kind = 'complete+verified') 255000 49136 │ │ │ │ INNER JOIN HASH ON cc.subject_id = cct1.id 255000 1 │ │ │ │ │└DISTRIBUTE GATHER 7 1 │ │ │ │ │ TABLE SCAN comp_cast_type WHERE cct1.kind = 'crew' 2530000 49136 │ │ │ │ TABLE SCAN complete_cast WHERE cc.movie_id IS NOT NULL 4520000 301689 │ │ │ TABLE SCAN movie_companies WHERE (mc.note IS NOT NULL) AND ( NOT contains(mc.note,'(USA)')) AND mc.note LIKE '%(200%)%' 113 124084 │ │ TABLE SCAN company_name WHERE (cn.country_code IS NOT NULL) AND ( NOT (cn.country_code = 'us')) 178000 194114 │ INNER JOIN HASH ON mi_idx.info_type_id = it2.id 178000 1 │ │└DISTRIBUTE GATHER 4 1 │ │ TABLE SCAN info_type WHERE it2.info = 'rating' 2610000 307190 │ TABLE SCAN movie_info_idx WHERE mi_idx.info > '6.5' 281 719729 INNER JOIN HASH ON t.kind_id = kt.id 281 2 │└DISTRIBUTE GATHER 4 2 │ TABLE SCAN kind_type WHERE kt.kind IN('movie','episode') 135000 825480 TABLE SCAN title WHERE (t.production_year IS NOT NULL) AND (t.production_year > 2005L)
	Estimate Actual Operator 1 1 AGGREGATE MIN(name as name) AS Expr1028, MIN(info as info) AS Expr1029, MIN(title as title) AS Expr1030 1 148 FILTER kind as kind = 'episode' OR kind as kind = 'movie' 1 161 INNER JOIN LOOP ON Bmk1016 = Bmk1016 1 161 │└TABLE SEEK kind_type AS kt 1 161 INNER JOIN LOOP ON t.kind_id = kt.id 1 161 │└TABLE SEEK kind_type AS kt 1 161 INNER JOIN LOOP ON Bmk1026 = Bmk1026 1 161 │└TABLE SEEK title AS t WHERE production_year as production_year > 2005 1 1233 PROJECT BmkToPage Bmk1026 AS Expr1105 1 1233 INNER JOIN LOOP ON mk.movie_id = t.id 1 1233 │└TABLE SEEK title AS t 1 1233 FILTER info as info = 'rating' 1 1726 INNER JOIN LOOP ON Bmk1012 = Bmk1012 1 1726 │└TABLE SEEK info_type AS it2 1 1726 INNER JOIN LOOP ON mi_idx.info_type_id = it2.id 1 1726 │└TABLE SEEK info_type AS it2 1 1726 INNER JOIN LOOP ON mk.movie_id = mi_idx.movie_id 1 1726 │└TABLE SEEK movie_info_idx AS mi_idx WHERE info as info > '6.5' 1 1574 FILTER country_code as country_code <> 'us' 1 1615 INNER JOIN LOOP ON Bmk1006 = Bmk1006 1 1615 │└TABLE SEEK company_name AS cn 1 1615 INNER JOIN LOOP ON mc.company_id = cn.id 1 1615 │└TABLE SEEK company_name AS cn 1 1615 FILTER NOT note as note LIKE '%(USA)%' AND note as note LIKE '%(200%)%' 13 3394 INNER JOIN LOOP ON Bmk1018 = Bmk1018 1 3394 │└TABLE SEEK movie_companies AS mc 13 3394 PROJECT BmkToPage Bmk1018 AS Expr1104 13 3394 INNER JOIN LOOP ON mk.movie_id = mc.movie_id 9 3394 │└TABLE SEEK movie_companies AS mc 1 176 FILTER kind as kind <> 'complete+verified' 1 224 INNER JOIN LOOP ON Bmk1004 = Bmk1004 1 224 │└TABLE SEEK comp_cast_type AS cct2 1 224 INNER JOIN LOOP ON cc.status_id = cct2.id 1 224 │└TABLE SEEK comp_cast_type AS cct2 1 224 FILTER kind as kind = 'crew' 3 976 INNER JOIN LOOP ON Bmk1002 = Bmk1002 1 976 │└TABLE SEEK comp_cast_type AS cct1 3 976 INNER JOIN LOOP ON cc.subject_id = cct1.id 1 976 │└TABLE SEEK comp_cast_type AS cct1 3 976 INNER JOIN LOOP ON Bmk1000 = Bmk1000 1 976 │└TABLE SEEK complete_cast AS cc 3 976 INNER JOIN LOOP ON mk.movie_id = cc.movie_id 1 976 │└TABLE SEEK complete_cast AS cc 2 1960 FILTER info as info = 'German' OR info as info = 'Germany' OR info as info = 'Sweden' OR info as info = 'Swedish' 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 m47 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 - 148 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 - 161 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 - 1233 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 - 1233 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 - 645 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 - 645 INNER JOIN HASH ON movie_id = movie_id_49 1380035 8436 │└DISTRIBUTE HASH ON movie_id_49 1380035 8436 │ PROJECT movie_id AS movie_id_49, info_type_id AS info_type_id_50, info AS info_51 1380035 8436 │ FILTER info > '6.5' 1380035 8436 │ TABLE SCAN movie_info_idx - 645 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 - 645 INNER JOIN HASH ON movie_id = movie_id_42 13352148 478 │└DISTRIBUTE HASH ON movie_id_42 13352148 478 │ PROJECT movie_id AS movie_id_42, info_type_id 13352148 478 │ FILTER info IN('German','Germany','Sweden','Swedish') 13352148 478 │ TABLE SCAN movie_info - 591 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 - 591 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 - 606 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 - 49 INNER JOIN HASH ON status_id = id_4 2 3 │└DISTRIBUTE GATHER 2 3 │ PROJECT id AS id_4 2 3 │ FILTER kind <> 'complete+verified' 2 3 │ TABLE SCAN comp_cast_type - 64 INNER JOIN HASH ON subject_id = id_0 4 1 │└DISTRIBUTE GATHER 4 1 │ PROJECT id AS id_0 4 1 │ FILTER kind = 'crew' 4 1 │ TABLE SCAN comp_cast_type 135086 64 TABLE SCAN complete_cast
	Estimate Actual Operator 1 1 AGGREGATE MIN(name), MIN(info), MIN(title) 1 148 INNER JOIN LOOP ON id = info_type_id 1 149 │└INNER JOIN LOOP ON movie_id = movie_id AND movie_id = id AND (movie_id = id) 1 1387 │ │└INNER JOIN LOOP ON id = company_type_id AND (id = company_type_id) 1 1387 │ │ │└INNER JOIN LOOP ON id = company_id 1 1422 │ │ │ │└INNER JOIN LOOP ON movie_id = movie_id AND movie_id = id AND (movie_id = id) 1 179 │ │ │ │ │└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 = 'crew' 1 646 │ │ │ │ │ INNER JOIN LOOP ON id = status_id AND (id = status_id) 1 880 │ │ │ │ │ │└INNER JOIN LOOP ON movie_id = id 1 2312 │ │ │ │ │ │ │└INNER JOIN LOOP ON id = kind_id AND (id = kind_id) 1 2835 │ │ │ │ │ │ │ │└INNER JOIN LOOP ON id = movie_id 1 11708 │ │ │ │ │ │ │ │ │└INNER JOIN LOOP ON id = info_type_id 85 17620 │ │ │ │ │ │ │ │ │ │└INNER JOIN LOOP ON movie_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 movie_info_idx AS mi_idx WHERE mi_idx.info > '6.5' 4 4 │ │ │ │ │ │ │ │ │ TABLE SEEK info_type AS it2 WHERE it2.info = 'rating' 11708 11708 │ │ │ │ │ │ │ │ TABLE SEEK title AS t WHERE t.production_year > 2005 2 1 │ │ │ │ │ │ │ TABLE SCAN kind_type AS kt WHERE kt.kind IN('movie','episode') 4624 2312 │ │ │ │ │ │ TABLE SEEK complete_cast AS cc 3 3 │ │ │ │ │ TABLE SCAN comp_cast_type AS cct2 WHERE cct2.kind <> 'complete+verified' 179 1421 │ │ │ │ TABLE SEEK movie_companies AS mc WHERE (mc.note NOT LIKE '%(USA)%') AND (mc.note LIKE '%(200%)%') 1422 1422 │ │ │ TABLE SEEK company_name AS cn WHERE cn.country_code <> 'us' 4 1 │ │ TABLE SCAN company_type AS ct 1387 1387 │ TABLE SEEK movie_info AS mi WHERE mi.info IN('Sweden','Germany','Swedish','German') 149 149 TABLE SEEK info_type AS it1 WHERE it1.info = 'countries'