Planner — IMDB — JOB-2A

SELECT MIN(t.title) AS movie_title
FROM job.company_name AS cn,
     job.keyword AS k,
     job.movie_companies AS mc,
     job.movie_keyword AS mk,
     job.title AS t
WHERE cn.country_code ='[de]'
  AND k.keyword ='character-name-in-title'
  AND cn.id = mc.company_id
  AND mc.movie_id = t.id
  AND t.id = mk.movie_id
  AND mk.keyword_id = k.id
  AND mc.movie_id = mk.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 9,663,679 9.7M Rank		Estimation Error Est Err 9,669,205 9.7M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 346,778 347K Rank	Estimation Error Est Err 7,834 7.8K Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 9,661,372 9.7M Rank		Estimation Error Est Err 7,094,082 7.1M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 2,692,809 2.7M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 9,650,854 9.7M Rank		Estimation Error Est Err 9,789,377 9.8M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 241,754 242K Rank	Estimation Error Est Err 7,835 7.8K Rank	Estimation Error Est Err 93,457 93K Rank
Estimation Error Est Err 10,030,538 10M Rank		Estimation Error Est Err 11,769,776 12M Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 2,272,205 2.3M Rank	Estimation Error Est Err 7,844 7.8K Rank	Estimation Error Est Err 7,352,164 7.4M Rank
Estimation Error Est Err 232,240 232K Rank		Estimation Error Est Err 233,060 233K Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 346,776 347K Rank	Estimation Error Est Err 7,834 7.8K Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 346,759 347K Rank	Estimation Error Est Err 346,759 347K Rank	Estimation Error Est Err 346,778 347K Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 346,778 347K Rank	Estimation Error Est Err 7,834 7.8K Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 397,975 398K Rank	Estimation Error Est Err 396,452 396K Rank	Estimation Error Est Err 404,286 404K Rank	Estimation Error Est Err 7,834 7.8K Rank	Estimation Error Est Err 545,004 545K Rank	Estimation Error Est Err 7,834 7.8K Rank	Estimation Error Est Err 0 Rank
Estimation Error Est Err 2,720,153 2.7M Rank		Estimation Error Est Err 31,336 31K Rank	Estimation Error Est Err 0 0 Rank	Estimation Error Est Err 2,726,473 2.7M Rank	Estimation Error Est Err 7,850 7.9K Rank	Estimation Error Est Err 2,718,656 2.7M Rank

Actual Query Plans

Query Plan per Engine ?
	Query Plan
	Estimate Actual Operator 1 1 AGGREGATE min 10 7834 INNER JOIN HASH ON movie_id14 = id31 8 7834 │└INNER JOIN HASH ON id21 = company_id 284 148552 │ │└INNER JOIN HASH ON movie_id14 = movie_id 32 41840 │ │ │└INNER JOIN HASH ON keyword_id = id 1 1 │ │ │ │└TABLE SCAN keyword WHERE keyword = character - name - in - title 4523930 4523930 │ │ │ TABLE SCAN movie_keyword 2609129 2609129 │ │ TABLE SCAN movie_companies 7343 2307 │ TABLE SCAN company_name WHERE country_code = de 2528312 2528312 TABLE SCAN title
	Estimate Actual Operator - 1 PROJECT a1 AS movie_title - 1 AGGREGATE MIN(title) AS a1 - 0 PROJECT title - 0 PROJECT title - 0 INNER JOIN HASH ON tuple(PROJECTION_4064.movie_id,PROJECTION_4064.id) = tuple(PROJECTION_4055.movie_id,PROJECTION_4055.movie_id) - 0 │└PROJECT movie_id AS movie_id_right - 0 │ PROJECT movie_id - 0 │ INNER JOIN HASH ON PROJECTION_4061.id = PROJECTION_4058.company_id - 2609129 │ │└PROJECT company_id, movie_id - 2609129 │ │ PROJECT company_id, movie_id - 2609129 │ │ TABLE SCAN movie_companies - 0 │ PROJECT id - 0 │ PROJECT id - 0 │ TABLE SCAN company_name WHERE country_code = 'de' - 41840 PROJECT movie_id AS movie_id_left, id, title - 41840 PROJECT movie_id, title, id - 41840 INNER JOIN HASH ON PROJECTION_4076.id = PROJECTION_4067.movie_id - 41840 │└PROJECT movie_id - 41840 │ PROJECT movie_id - 41840 │ INNER JOIN HASH ON PROJECTION_4073.keyword_id = PROJECTION_4070.id - 1 │ │└PROJECT id - 1 │ │ PROJECT id - 1 │ │ TABLE SCAN keyword WHERE keyword = 'character-name-in-title' - 4523930 │ PROJECT keyword_id, movie_id - 4523930 │ PROJECT movie_id, keyword_id - 4523930 │ TABLE SCAN movie_keyword - 2528312 PROJECT id, title - 2528312 PROJECT title, id - 2528312 TABLE SCAN title
	Estimate Actual Operator - 1 AGGREGATE MIN(#0) 0 7834 PROJECT title 0 7834 INNER JOIN HASH ON id = movie_id 0 7834 │└INNER JOIN HASH ON id = company_id 72 148552 │ │└INNER JOIN HASH ON movie_id = movie_id 69 41838 │ │ │└INNER JOIN HASH ON keyword_id = id 2 1 │ │ │ │└TABLE SCAN keyword WHERE keyword = 'character-name-in-title' 4523930 41838 │ │ │ TABLE SCAN movie_keyword WHERE movie_id <= 2525745 2609129 173613 │ │ TABLE SCAN movie_companies 1644 9775 │ TABLE SCAN company_name WHERE country_code = 'de' 2528312 7013 TABLE SCAN title WHERE id >= 2 AND id <= 2525745
	Estimate Actual Operator 1 1 PROJECT movie_title 1 1 AGGREGATE MIN(title) 186916 10 DISTRIBUTE GATHER 186916 10 AGGREGATE MIN(title) 186916 7834 INNER JOIN HASH ON movie_id = id AND movie_id = id 186916 7834 │└DISTRIBUTE HASH ON movie_id, movie_id 186916 7834 │ INNER JOIN HASH ON id = keyword_id 26834 1 │ │└DISTRIBUTE GATHER 26834 1 │ │ FILTER keyword = 'character-name-in-title' 134170 134170 │ │ DISTRIBUTE ROUND ROBIN 134170 134170 │ │ TABLE SCAN keyword WHERE keyword = 'character-name-in-title' 934584 2108405 │ INNER JOIN HASH ON movie_id = movie_id 521832 148132 │ │└DISTRIBUTE HASH ON movie_id 521832 148132 │ │ INNER JOIN HASH ON id = company_id 47000 9775 │ │ │└DISTRIBUTE GATHER 47000 9775 │ │ │ FILTER country_code = 'de' 234997 234997 │ │ │ TABLE SCAN company_name WHERE country_code = 'de' 2609129 2609129 │ │ TABLE SCAN movie_companies WHERE ((company_id >= 30) AND (company_id <= 234990)) AND TRUE 4523930 4523930 │ DISTRIBUTE HASH ON movie_id 4523930 4523930 │ TABLE SCAN movie_keyword WHERE CASE MOD(HASH_REPARTITION movie_id,10) WHEN 0 THEN (((movie_id >= 887) AND (movie_id <= 2525617)) AND TRUE) WHEN 1 THEN (((movie_id >= 619) AND (movie_id <= 2525504)) AND TRUE) WHEN 2 THEN (((movie_id >= 611) AND (movie_id <= 2525502)) AND TRUE) WHEN 3 THEN (((movie_id >= 677) AND (movie_id <= 2525483)) AND TRUE) WHEN 4 THEN (((movie_id >= 669) AND (movie_id <= 2525488)) AND TRUE) WHEN 5 THEN (((movie_id >= 819) AND (movie_id <= 2525499))... 2528312 2528312 DISTRIBUTE HASH ON id, id 2528312 2528312 TABLE SCAN title WHERE CASE MOD(HASH_REPARTITION(id,id),10) WHEN 1 THEN ((((id >= 11166) AND (id <= 2525432)) AND ((id >= 11166) AND (id <= 2525432))) AND TRUE) WHEN 3 THEN ((((id >= 11165) AND (id <= 2524553)) AND ((id >= 11165) AND (id <= 2524553))) AND TRUE) WHEN 5 THEN ((((id >= 37759) AND (id <= 2522949)) AND ((id >= 37759) AND (id <= 2522949))) AND TRUE) WHEN 7 THEN ((((id >= 37734) AND (id <= 2522095)) AND ((id >= 37734) AND (id <= 2522095))) AND TRUE) WHEN 9 THEN (...
	Estimate Actual Operator 1 1 AGGREGATE MIN(t.title) 1 1 DISTRIBUTE GATHER 1 1 AGGREGATE MIN(t.title) 199 7834 INNER JOIN HASH ON mc.company_id = cn.id 199 9775 │└DISTRIBUTE GATHER 4520000 9775 │ TABLE SCAN company_name WHERE (cn.country_code IS NOT NULL) AND (cn.country_code = 'de') 192 148299 INNER JOIN HASH ON mk.movie_id = mc.movie_id 192 41840 │└DISTRIBUTE GATHER 75 41840 │ INNER JOIN HASH ON mk.movie_id = t.id 75 41840 │ │└DISTRIBUTE GATHER 71 41840 │ │ INNER JOIN HASH ON mk.keyword_id = k.id 71 1 │ │ │└DISTRIBUTE GATHER 235000 1 │ │ │ TABLE SCAN keyword WHERE k.keyword = 'character-name-in-title' 2610000 4519861 │ │ TABLE SCAN movie_keyword 2530000 2520276 │ TABLE SCAN title 134000 2600941 TABLE SCAN movie_companies
	Estimate Actual Operator 1 1 AGGREGATE MIN(title as title) AS Expr1010 151 7834 INNER JOIN LOOP ON Bmk1008 = Bmk1008 1 7834 │└TABLE SEEK title AS t 151 7834 SORT Expr1019 151 7834 PROJECT BmkToPage Bmk1008 AS Expr1019 151 7834 INNER JOIN LOOP ON mk.movie_id = t.id 1 7834 │└TABLE SEEK title AS t 151 7834 INNER JOIN HASH ON cn.id = mc.company_id 899 148552 │└INNER JOIN LOOP ON Bmk1004 = Bmk1004 1 148552 │ │└TABLE SEEK movie_companies AS mc 899 148552 │ PROJECT BmkToPage Bmk1004 AS Expr1023 899 148552 │ INNER JOIN LOOP ON mk.movie_id = mc.movie_id 9 148552 │ │└TABLE SEEK movie_companies AS mc 90 41840 │ INNER JOIN LOOP ON Bmk1006 = Bmk1006 1 41840 │ │└TABLE SEEK movie_keyword AS mk 90 41840 │ INNER JOIN LOOP ON k.id = mk.keyword_id 90 41840 │ │└TABLE SEEK movie_keyword AS mk 1 1 │ TABLE SCAN keyword AS k WHERE keyword as keyword = 'character-name-in-title' 9828 1522 TABLE SCAN company_name AS cn WHERE (PROBE(Bitmap1025,id as id,N'IN ROW')) AND (country_code as country_code = 'de')
	Estimate Actual Operator 1 ∞ PROJECT min AS movie_title 1 1 AGGREGATE MIN(min_20) AS min - 16 DISTRIBUTE GATHER - 16 AGGREGATE MIN(title) AS min_20 - 7834 INNER JOIN HASH ON movie_id = id_13 2528312 2528312 │└DISTRIBUTE HASH ON id_13 2528312 2528312 │ PROJECT id AS id_13, title 2528312 2528312 │ TABLE SCAN title - 7834 INNER JOIN HASH ON keyword_id = id_0 134170 1 │└DISTRIBUTE GATHER 134170 1 │ PROJECT id AS id_0 134170 1 │ FILTER keyword = 'character-name-in-title' 134170 1 │ TABLE SCAN keyword - 7834 INNER JOIN HASH ON movie_id = movie_id_9 4523930 41840 │└DISTRIBUTE HASH ON movie_id_9 4523930 41840 │ PROJECT movie_id AS movie_id_9, keyword_id 4523930 41840 │ TABLE SCAN movie_keyword - 7834 INNER JOIN HASH ON id = company_id 2609129 148487 │└DISTRIBUTE HASH ON company_id 2609129 148487 │ TABLE SCAN movie_companies 211497 1513 FILTER country_code = 'de' 211497 1513 TABLE SCAN company_name
	Estimate Actual Operator 1 1 AGGREGATE MIN(title) 7 7834 INNER JOIN LOOP ON id = movie_id 7 7834 │└INNER JOIN LOOP ON id = company_id 173 148552 │ │└INNER JOIN LOOP ON movie_id = movie_id 34 41840 │ │ │└INNER JOIN LOOP ON keyword_id = id 1 1 │ │ │ │└TABLE SEEK keyword AS k 305 41840 │ │ │ TABLE SEEK movie_keyword AS mk 209200 148532 │ │ TABLE SEEK movie_companies AS mc 148552 148552 │ TABLE SEEK company_name AS cn WHERE cn.country_code = 'de' 7834 7834 TABLE SEEK title AS t