Planner — IMDB — JOB-13C

SELECT MIN(cn.name) AS producing_company,
       MIN(miidx.info) AS rating,
       MIN(t.title) AS movie_about_winning
FROM job.company_name AS cn,
     job.company_type AS ct,
     job.info_type AS it,
     job.info_type AS it2,
     job.kind_type AS kt,
     job.movie_companies AS mc,
     job.movie_info AS mi,
     job.movie_info_idx AS miidx,
     job.title AS t
WHERE cn.country_code ='[us]'
  AND ct.kind ='production companies'
  AND it.info ='rating'
  AND it2.info ='release dates'
  AND kt.kind ='movie'
  AND t.title != ''
  AND (t.title LIKE 'Champion%'
       OR t.title LIKE 'Loser%')
  AND mi.movie_id = t.id
  AND it2.id = mi.info_type_id
  AND kt.id = t.kind_id
  AND mc.movie_id = t.id
  AND cn.id = mc.company_id
  AND ct.id = mc.company_type_id
  AND miidx.movie_id = t.id
  AND it.id = miidx.info_type_id
  AND mi.movie_id = miidx.movie_id
  AND mi.movie_id = mc.movie_id
  AND miidx.movie_id = mc.movie_id;

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 18,825,006 19M Rank		Estimation Error Est Err 18,826,904 19M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 2,493 2.5K Rank	Estimation Error Est Err 53 53 Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 0 0 Rank		Estimation Error Est Err 0 Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 0 Rank	Estimation Error Est Err 0 Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 6,178,652 6.2M Rank		Estimation Error Est Err 15,838,985 16M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 11,794,117 12M Rank	Estimation Error Est Err 54 54 Rank	Estimation Error Est Err 3,581,521 3.6M Rank
Estimation Error Est Err 7,501,618 7.5M Rank		Estimation Error Est Err 12,988,958 13M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 9,237,440 9.2M Rank	Estimation Error Est Err 63 63 Rank	Estimation Error Est Err 7,637,643 7.6M Rank
Estimation Error Est Err 2,940,319 2.9M Rank		Estimation Error Est Err 2,855,715 2.9M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 2,307,876 2.3M Rank	Estimation Error Est Err 53 53 Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 1,840,647 1.8M Rank	Estimation Error Est Err 460,612 461K Rank	Estimation Error Est Err 1,840,662 1.8M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 307,355 307K Rank	Estimation Error Est Err 53 53 Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 4,692 4.7K Rank	Estimation Error Est Err 4,309 4.3K Rank	Estimation Error Est Err 4,398 4.4K Rank	Estimation Error Est Err 615 615 Rank	Estimation Error Est Err 4,398 4.4K Rank	Estimation Error Est Err 53 53 Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 262 262 Rank		Estimation Error Est Err 346 346 Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 441 441 Rank	Estimation Error Est Err 69 69 Rank	Estimation Error Est Err 264 264 Rank

Actual Query Plans

Query Plan per Engine ?
	Query Plan
	Estimate Actual Operator 1 1 AGGREGATE min, min, min 31 53 INNER JOIN HASH ON id60 = company_id 3 162 │└INNER JOIN HASH ON id = company_type_id 1 1 │ │└TABLE SCAN company_type WHERE kind = production companies 6 615 │ INNER JOIN HASH ON movie_id53 = movie_id 5 90 │ │└INNER JOIN HASH ON id6 = info_type_id46 1 1 │ │ │└TABLE SCAN info_type WHERE info = rating 24 270 │ │ INNER JOIN HASH ON movie_id = movie_id45 27 127 │ │ │└INNER JOIN HASH ON id11 = info_type_id 1 1 │ │ │ │└TABLE SCAN info_type WHERE info = release dates 3075 978 │ │ │ INNER JOIN HASH ON movie_id = id21 448 89 │ │ │ │└INNER JOIN HASH ON id16 = kind_id 1 1 │ │ │ │ │└TABLE SCAN kind_type WHERE kind = movie 1711 104 │ │ │ │ TABLE SCAN title 14835720 14835720 │ │ │ TABLE SCAN movie_info 1380035 1380035 │ │ TABLE SCAN movie_info_idx 2609129 2609129 │ TABLE SCAN movie_companies 90648 14 TABLE SCAN company_name WHERE country_code = us
	Estimate Actual Operator - ∞ PROJECT a1 AS producing_company, a2 AS rating, a3 AS movie_about_winning - ∞ AGGREGATE MIN(name) AS a1, MIN(info) AS a2, MIN(title) AS a3 - ∞ PROJECT name, info, title - ∞ PROJECT name, info, title - ∞ INNER JOIN HASH ON tuple(PROJECTION_590.movie_id,PROJECTION_590.movie_id,PROJECTION_590.movie_id,PROJECTION_590.movie_id) = tuple(PROJECTION_569.movie_id,PROJECTION_569.movie_id,PROJECTION_569.id,PROJECTION_569.id) - ∞ │└PROJECT movie_id AS movie_id_right, id, title - ∞ │ PROJECT movie_id, title, id - ∞ │ INNER JOIN HASH ON PROJECTION_581.id = PROJECTION_572.movie_id - 3036719 │ │└PROJECT movie_id - 3036719 │ │ PROJECT movie_id - 3036719 │ │ INNER JOIN HASH ON PROJECTION_578.info_type_id = PROJECTION_575.id - 1 │ │ │└PROJECT id - 1 │ │ │ PROJECT id - 1 │ │ │ TABLE SCAN info_type WHERE info = 'release dates' - 14835720 │ │ PROJECT info_type_id, movie_id - 14835720 │ │ PROJECT movie_id, info_type_id - 14835720 │ │ TABLE SCAN movie_info - ∞ │ PROJECT id, title - ∞ │ PROJECT title, id - ∞ │ INNER JOIN HASH ON PROJECTION_587.kind_id = PROJECTION_584.id - 1 │ │└PROJECT id AS id_right - 1 │ │ PROJECT id - 1 │ │ TABLE SCAN kind_type WHERE kind = 'movie' - ∞ │ PROJECT kind_id, title, id AS id_left - ∞ │ PROJECT id, title, kind_id - ∞ │ TABLE SCAN title WHERE notEmpty title AND (startsWith(title,'Champion') OR startsWith(title,'Loser')) - 0 PROJECT movie_id AS movie_id_left, movie_id AS movie_id_left_2, name, info - 0 PROJECT name, movie_id, info, movie_id - 0 INNER JOIN HASH ON PROJECTION_602.movie_id = PROJECTION_593.movie_id - 459925 │└PROJECT movie_id AS movie_id_right, info - 459925 │ PROJECT info, movie_id - 459925 │ INNER JOIN HASH ON PROJECTION_599.info_type_id = PROJECTION_596.id - 1 │ │└PROJECT id - 1 │ │ PROJECT id - 1 │ │ TABLE SCAN info_type WHERE info = 'rating' - 1380035 │ PROJECT info_type_id, info, movie_id - 1380035 │ PROJECT info, movie_id, info_type_id - 1380035 │ TABLE SCAN movie_info_idx - 0 PROJECT movie_id AS movie_id_left, name - 0 PROJECT name, movie_id - 0 INNER JOIN HASH ON PROJECTION_608.company_type_id = PROJECTION_605.id - 1 │└PROJECT id - 1 │ PROJECT id - 1 │ TABLE SCAN company_type WHERE kind = 'production companies' - 0 PROJECT company_type_id, name, movie_id - 0 PROJECT name, company_type_id, movie_id - 0 INNER JOIN HASH ON PROJECTION_614.id = PROJECTION_611.company_id - 2609129 │└PROJECT company_id, company_type_id, movie_id - 2609129 │ PROJECT company_id, company_type_id, movie_id - 2609129 │ TABLE SCAN movie_companies - 0 PROJECT id, name - 0 PROJECT id, name - 0 TABLE SCAN company_name WHERE country_code = 'us'
	Estimate Actual Operator - 1 AGGREGATE MIN(#0), MIN(#1), MIN(#2) 0 53 PROJECT name, info, title 0 53 INNER JOIN HASH ON info_type_id = id 2 1 │└FILTER id <= 110 2 1 │ TABLE SCAN info_type WHERE info = 'release dates' 7 53 INNER JOIN HASH ON movie_id = movie_id 1 14 │└INNER JOIN HASH ON info_type_id = id 2 1 │ │└FILTER id >= 99 2 1 │ │ TABLE SCAN info_type WHERE info = 'rating' 73 14 │ INNER JOIN HASH ON movie_id = movie_id 132 36 │ │└INNER JOIN HASH ON company_type_id = id 1 1 │ │ │└FILTER id <= 2 1 1 │ │ │ TABLE SCAN company_type WHERE kind = 'production companies' 530 88 │ │ INNER JOIN HASH ON kind_id = id 1 1 │ │ │└TABLE SCAN kind_type WHERE kind = 'movie' 3716 88 │ │ INNER JOIN HASH ON id = movie_id 18253 1153798 │ │ │└INNER JOIN HASH ON company_id = id 1644 84843 │ │ │ │└TABLE SCAN company_name WHERE country_code = 'us' 2609129 2609129 │ │ │ TABLE SCAN movie_companies 505662 89 │ │ FILTER id BETWEEN 2 AND 2525745 505662 89 │ │ TABLE SCAN title WHERE title != '' AND (prefix(title,'Champion') OR prefix(title,'Loser')) 1380035 401 │ TABLE SCAN movie_info_idx WHERE movie_id <= 2525745 14835720 245853 TABLE SCAN movie_info WHERE movie_id >= 2 AND movie_id <= 2525745
	Estimate Actual Operator 1 1 PROJECT producing_company, rating, movie_about_winning 1 1 AGGREGATE MIN(name), MIN(info), MIN(title) 91531 10 DISTRIBUTE GATHER 91531 10 AGGREGATE MIN(name), MIN(info), MIN(title) 91531 53 INNER JOIN HASH ON id = kind_id 2 1 │└DISTRIBUTE GATHER 2 1 │ FILTER kind = 'movie' 7 7 │ DISTRIBUTE ROUND ROBIN 7 7 │ TABLE SCAN kind_type WHERE kind = 'movie' 320359 72 INNER JOIN HASH ON movie_id = id AND movie_id = id AND movie_id = id 320359 1051802 │└DISTRIBUTE HASH ON movie_id, movie_id, movie_id 320359 1051802 │ 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' 320359 3173906 │ INNER JOIN HASH ON movie_id = movie_id AND movie_id = movie_id 320359 1355560 │ │└DISTRIBUTE HASH ON movie_id, movie_id 320359 1355560 │ │ INNER JOIN HASH ON id = info_type_id 23 1 │ │ │└DISTRIBUTE GATHER 23 1 │ │ │ FILTER info = 'release dates' 113 113 │ │ │ DISTRIBUTE ROUND ROBIN 113 113 │ │ │ TABLE SCAN info_type WHERE info = 'release dates' 1532152 1481857 │ │ INNER JOIN HASH ON movie_id = movie_id 260916 552328 │ │ │└DISTRIBUTE HASH ON movie_id 260916 552328 │ │ │ INNER JOIN HASH ON id = company_type_id 1 1 │ │ │ │└DISTRIBUTE GATHER 1 1 │ │ │ │ FILTER kind = 'production companies' 4 4 │ │ │ │ DISTRIBUTE ROUND ROBIN 4 4 │ │ │ │ TABLE SCAN company_type WHERE kind = 'production companies' 521832 570132 │ │ │ INNER JOIN HASH ON id = company_id 47000 84843 │ │ │ │└DISTRIBUTE GATHER 47000 84843 │ │ │ │ FILTER country_code = 'us' 234997 234997 │ │ │ │ TABLE SCAN company_name WHERE country_code = 'us' 2609129 1376261 │ │ │ TABLE SCAN movie_companies WHERE (((company_id >= 1) AND (company_id <= 234997)) AND TRUE) AND (((company_type_id >= 2) AND (company_type_id <= 2)) AND company_type_id IN 2) 14835720 3212639 │ │ DISTRIBUTE HASH ON movie_id 14835720 3212639 │ │ TABLE SCAN movie_info WHERE CASE MOD(HASH_REPARTITION movie_id,10) WHEN 0 THEN (((movie_id >= 67) AND (movie_id <= 2525688)) AND TRUE) WHEN 1 THEN (((movie_id >= 45) AND (movie_id <= 2525732)) AND TRUE) WHEN 2 THEN (((movie_id >= 24) AND (movie_id <= 2525701)) AND TRUE) WHEN 3 THEN (((movie_id >= 2) AND (movie_id <= 2525729)) AND TRUE) WHEN 4 THEN (((movie_id >= 55) AND (movie_id <= 2525738)) AND TRUE) WHEN 5 THEN (((movie_id >= 54) AND (movie_id <= 2525715)) AND T... 1380035 1380035 │ DISTRIBUTE HASH ON movie_id, movie_id 1380035 1380035 │ TABLE SCAN movie_info_idx WHERE CASE MOD(HASH_REPARTITION(movie_id,movie_id),10) WHEN 1 THEN ((((movie_id >= 57) AND (movie_id <= 2525740)) AND ((movie_id >= 57) AND (movie_id <= 2525740))) AND TRUE) WHEN 3 THEN ((((movie_id >= 45) AND (movie_id <= 2525737)) AND ((movie_id >= 45) AND (movie_id <= 2525737))) AND TRUE) WHEN 5 THEN ((((movie_id >= 46) AND (movie_id <= 2525744)) AND ((movie_id >= 46) AND (movie_id <= 2525744))) AND TRUE) WHEN 7 THEN ((((movie_id >= 24) AND... 505663 185 DISTRIBUTE HASH ON id, id, id 505663 185 FILTER (title <> '') AND (title LIKE 'Champion%' OR title LIKE 'Loser%') 2528312 1297449 TABLE SCAN title WHERE (((title <> '') AND (title LIKE 'Champion%' OR title LIKE 'Loser%')) AND CASE MOD(HASH_REPARTITION(id,id,id),10) WHEN 0 THEN (((((id >= 645) AND (id <= 2521833)) AND ((id >= 645) AND (id <= 2521833))) AND ((id >= 645) AND (id <= 2521833))) AND TRUE) WHEN 1 THEN (((((id >= 61) AND (id <= 2525593)) AND ((id >= 61) AND (id <= 2525593))) AND ((id >= 61) AND (id <= 2525593))) AND TRUE) WHEN 2 THEN (((((id >= 24) AND (id <= 2523357)) AND ((id >= 24) AND (i...
	Estimate Actual Operator 1 1 AGGREGATE MIN(cn.name), MIN(miidx.info), MIN(t.title) 1 1 DISTRIBUTE GATHER 1 1 AGGREGATE MIN(cn.name), MIN(miidx.info), MIN(t.title) 39600 53 INNER JOIN HASH ON mc.movie_id = miidx.movie_id 39600 29 │└DISTRIBUTE GATHER 519000 29 │ INNER JOIN HASH ON t.kind_id = kt.id 519000 1 │ │└DISTRIBUTE GATHER 2610000 1 │ │ TABLE SCAN kind_type WHERE kt.kind = 'movie' 519000 47 │ INNER JOIN HASH ON miidx.movie_id = t.id 519000 459925 │ │└DISTRIBUTE GATHER 290000 459925 │ │ INNER JOIN HASH ON miidx.info_type_id = it.id 290000 1 │ │ │└DISTRIBUTE GATHER 2530000 1 │ │ │ TABLE SCAN info_type WHERE it.info = 'rating' 1380000 1377304 │ │ TABLE SCAN movie_info_idx 14800000 137 │ TABLE SCAN title WHERE ( NOT (t.title = '')) AND (startswith(t.title,'Champion') OR startswith(t.title,'Loser')) 12100 1355560 INNER JOIN HASH ON mc.company_id = cn.id 12100 84843 │└DISTRIBUTE GATHER 113 84843 │ TABLE SCAN company_name WHERE (cn.country_code IS NOT NULL) AND (cn.country_code = 'us') 203000 3240953 INNER JOIN HASH ON mc.company_type_id = ct.id 203000 1 │└DISTRIBUTE GATHER 235000 1 │ TABLE SCAN company_type WHERE ct.kind = 'production companies' 290000 3240953 INNER JOIN HASH ON mi.movie_id = mc.movie_id 290000 3036719 │└DISTRIBUTE GATHER 276000 3036719 │ INNER JOIN HASH ON mi.info_type_id = it2.id 276000 1 │ │└DISTRIBUTE GATHER 7 1 │ │ TABLE SCAN info_type WHERE it2.info = 'release dates' 113 3383078 │ TABLE SCAN movie_info 4 1333286 TABLE SCAN movie_companies
	Estimate Actual Operator 1 1 AGGREGATE MIN(name as name) AS Expr1018, MIN(info as info) AS Expr1019, MIN(title as title) AS Expr1020 4 53 FILTER country_code as country_code = 'us' 28 162 INNER JOIN LOOP ON Bmk1000 = Bmk1000 1 162 │└TABLE SEEK company_name AS cn 28 162 INNER JOIN LOOP ON mc.company_id = cn.id 1 162 │└TABLE SEEK company_name AS cn 28 162 FILTER kind as kind = 'production companies' 56 615 INNER JOIN LOOP ON Bmk1002 = Bmk1002 1 615 │└TABLE SEEK company_type AS ct 56 615 INNER JOIN LOOP ON mc.company_type_id = ct.id 1 615 │└TABLE SEEK company_type AS ct 56 615 INNER JOIN LOOP ON Bmk1010 = Bmk1010 1 615 │└TABLE SEEK movie_companies AS mc 56 615 SORT Expr1087 56 615 PROJECT BmkToPage Bmk1010 AS Expr1087 56 615 INNER JOIN LOOP ON t.id = mc.movie_id 4 615 │└TABLE SEEK movie_companies AS mc 5 90 FILTER info as info = 'rating' 28 270 INNER JOIN LOOP ON Bmk1004 = Bmk1004 1 270 │└TABLE SEEK info_type AS it 28 270 INNER JOIN LOOP ON miidx.info_type_id = it.id 1 270 │└TABLE SEEK info_type AS it 28 270 INNER JOIN LOOP ON t.id = miidx.movie_id 2 270 │└TABLE SEEK movie_info_idx AS miidx 12 127 INNER JOIN LOOP ON it2.id = mi.info_type_id AND t.id = mi.movie_id 1 127 │└TABLE SEEK movie_info AS mi 15 89 INNER JOIN LOOP ON info as info = 'release dates' 1 89 │└TABLE SCAN info_type AS it2 WHERE info as info = 'release dates' 15 89 FILTER kind as kind = 'movie' 90 294 INNER JOIN LOOP ON Bmk1008 = Bmk1008 1 294 │└TABLE SEEK kind_type AS kt 90 294 INNER JOIN LOOP ON t.kind_id = kt.id 1 294 │└TABLE SEEK kind_type AS kt 90 294 TABLE SCAN title AS t WHERE (title as title LIKE 'Champion%' OR title as title LIKE 'Loser%') AND title as title <> ''
	Estimate Actual Operator 1 ∞ PROJECT min AS producing_company, min_43 AS rating, min_44 AS movie_about_winning 1 1 AGGREGATE MIN(min_45) AS min, MIN(min_46) AS min_43, MIN(min_47) AS min_44 - 16 DISTRIBUTE GATHER - 16 AGGREGATE MIN(name) AS min_45, MIN(info_32) AS min_46, MIN(title) AS min_47 - 53 INNER JOIN HASH ON kind_id = id_13 7 1 │└DISTRIBUTE GATHER 7 1 │ PROJECT id AS id_13 7 1 │ FILTER kind = 'movie' 7 1 │ TABLE SCAN kind_type - 53 INNER JOIN HASH ON movie_id = id_37 2275481 93 │└DISTRIBUTE HASH ON id_37 2275481 93 │ PROJECT id AS id_37, title, kind_id 2275481 93 │ FILTER (((title >= 'Champion') AND (title < 'Champioo')) OR ((title >= 'Loser') AND (title < 'Loses'))) AND ((title LIKE 'Champion%') OR (title LIKE 'Loser%')) 2275481 93 │ TABLE SCAN title - 53 INNER JOIN HASH ON info_type_id_31 = id_4 113 1 │└DISTRIBUTE GATHER 113 1 │ PROJECT id AS id_4 113 1 │ FILTER info = 'rating' 113 1 │ TABLE SCAN info_type - 53 INNER JOIN HASH ON movie_id = movie_id_30 1380035 29 │└DISTRIBUTE HASH ON movie_id_30 1380035 29 │ PROJECT movie_id AS movie_id_30, info_type_id AS info_type_id_31, info AS info_32 1380035 29 │ TABLE SCAN movie_info_idx - 53 INNER JOIN HASH ON info_type_id = id_8 113 1 │└DISTRIBUTE GATHER 113 1 │ PROJECT id AS id_8 113 1 │ FILTER info = 'release dates' 113 1 │ TABLE SCAN info_type - 53 INNER JOIN HASH ON movie_id = movie_id_23 14835720 90 │└DISTRIBUTE HASH ON movie_id_23 14835720 90 │ PROJECT movie_id AS movie_id_23, info_type_id 14835720 90 │ TABLE SCAN movie_info - 14 INNER JOIN HASH ON company_type_id = id_0 4 1 │└DISTRIBUTE GATHER 4 1 │ PROJECT id AS id_0 4 1 │ FILTER kind = 'production companies' 4 1 │ TABLE SCAN company_type - 14 INNER JOIN HASH ON id = company_id 2609129 32 │└DISTRIBUTE HASH ON company_id 2609129 32 │ TABLE SCAN movie_companies 211497 14 FILTER country_code = 'us' 211497 14 TABLE SCAN company_name
	Estimate Actual Operator 1 1 AGGREGATE MIN(name), MIN(info), MIN(title) 3 53 INNER JOIN LOOP ON id = info_type_id 6 218 │└INNER JOIN LOOP ON movie_id = movie_id AND movie_id = id AND (movie_id = id) 3 14 │ │└INNER JOIN LOOP ON id = company_type_id 3 47 │ │ │└INNER JOIN LOOP ON id = company_id 3 95 │ │ │ │└INNER JOIN LOOP ON movie_id = movie_id AND movie_id = id AND (movie_id = id) 3 29 │ │ │ │ │└INNER JOIN LOOP ON id = kind_id 3 66 │ │ │ │ │ │└INNER JOIN LOOP ON id = movie_id 5089 153308 │ │ │ │ │ │ │└INNER JOIN HASH ON info_type_id = id 3 3 │ │ │ │ │ │ │ │└TABLE SEEK info_type AS it 1725045 1380035 │ │ │ │ │ │ │ TABLE SCAN movie_info_idx AS miidx 459925 459925 │ │ │ │ │ │ TABLE SEEK title AS t WHERE (t.title <> '') AND ((t.title LIKE 'Champion%') OR (t.title LIKE 'Loser%')) 11 11 │ │ │ │ │ TABLE SEEK kind_type AS kt WHERE kt.kind = 'movie' 145 95 │ │ │ │ TABLE SEEK movie_companies AS mc 95 95 │ │ │ TABLE SEEK company_name AS cn WHERE cn.country_code = 'us' 47 47 │ │ TABLE SEEK company_type AS ct WHERE ct.kind = 'production companies' 560 217 │ TABLE SEEK movie_info AS mi 218 218 TABLE SEEK info_type AS it2 WHERE it2.info = 'release dates'