PlannerIMDB — JOB-21A

SELECT MIN(cn.name) AS company_name,
       MIN(lt.link) AS link_type,
       MIN(t.title) AS western_follow_up
FROM job.company_name AS cn,
     job.company_type AS ct,
     job.keyword AS k,
     job.link_type AS lt,
     job.movie_companies AS mc,
     job.movie_info AS mi,
     job.movie_keyword AS mk,
     job.movie_link AS ml,
     job.title AS t
WHERE cn.country_code !='[pl]'
  AND (cn.name LIKE '%Film%'
       OR cn.name LIKE '%Warner%')
  AND ct.kind ='production companies'
  AND k.keyword ='sequel'
  AND lt.link LIKE '%follow%'
  AND mc.note IS NULL
  AND mi.info IN ('Sweden',
                  'Norway',
                  'Germany',
                  'Denmark',
                  'Swedish',
                  'Denish',
                  'Norwegian',
                  'German')
  AND t.production_year BETWEEN 1950 AND 2000
  AND lt.id = ml.link_type_id
  AND ml.movie_id = t.id
  AND t.id = mk.movie_id
  AND mk.keyword_id = k.id
  AND t.id = mc.movie_id
  AND mc.company_type_id = ct.id
  AND mc.company_id = cn.id
  AND mi.movie_id = t.id
  AND ml.movie_id = mk.movie_id
  AND ml.movie_id = mc.movie_id
  AND mk.movie_id = mc.movie_id
  AND ml.movie_id = mi.movie_id
  AND mk.movie_id = mi.movie_id
  AND mc.movie_id = mi.movie_id;

Engine Compare

Accuracy chart, rows processed ?
Scan
Scan
Seek
Seek
Join Probe
Join
Sort
Sort
Hash Build
Hash
Aggregate
Agg
Distribute
Dist
Native storage
Estimation Error
Est Err
4,554,025
4.6M
Rank
Estimation Error
Est Err
4,561,513
4.6M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
30,313
30K
Rank
Estimation Error
Est Err
1,410
1.4K
Rank
Estimation Error
Est Err
0
Rank
Native storage
Estimation Error
Est Err
24,896,277
25M
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
Native storage
Estimation Error
Est Err
6,845,256
6.8M
Rank
Estimation Error
Est Err
7,014,902
7M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
399,844
400K
Rank
Estimation Error
Est Err
1,411
1.4K
Rank
Estimation Error
Est Err
218,441
218K
Rank
Apache Iceberg
Estimation Error
Est Err
17,379,116
17M
Rank
Estimation Error
Est Err
7,314,644
7.3M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
1,126,170
1.1M
Rank
Estimation Error
Est Err
1,420
1.4K
Rank
Estimation Error
Est Err
501,150
501K
Rank
Native storage
Estimation Error
Est Err
679
679
Rank
Estimation Error
Est Err
3,655
3.7K
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
4,114
4.1K
Rank
Estimation Error
Est Err
1,410
1.4K
Rank
Estimation Error
Est Err
0
Rank
Native storage
Estimation Error
Est Err
48,276
48K
Rank
Estimation Error
Est Err
48,274
48K
Rank
Estimation Error
Est Err
48,775
49K
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
48,471
48K
Rank
Estimation Error
Est Err
1,410
1.4K
Rank
Estimation Error
Est Err
0
Rank
Native storage
Estimation Error
Est Err
43,496
43K
Rank
Estimation Error
Est Err
43,495
43K
Rank
Estimation Error
Est Err
43,663
44K
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
53,789
54K
Rank
Estimation Error
Est Err
1,410
1.4K
Rank
Estimation Error
Est Err
0
Rank
Apache Iceberg
Estimation Error
Est Err
961,295
961K
Rank
Estimation Error
Est Err
5,794
5.8K
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
963,337
963K
Rank
Estimation Error
Est Err
1,426
1.4K
Rank
Estimation Error
Est Err
961,288
961K
Rank

Actual Query Plans

Query Plan per Engine ?
Query Plan
Native storage
Estimate    Actual  Operator
       1         1  AGGREGATE min, min, min
       1      1410  INNER JOIN HASH ON company_type_id = id
       1         1  │└TABLE SCAN company_type WHERE kind = production companies
       1      1505  INNER JOIN HASH ON company_id = id61
       2      3124  │└INNER JOIN HASH ON movie_id54 = movie_id31
       1       517   │└INNER JOIN HASH ON movie_id31 = id38
       1       684    │└INNER JOIN HASH ON movie_id = movie_id31
       1       199     │└INNER JOIN HASH ON id6 = link_type_id
       2         2      │└TABLE SCAN link_type WHERE link LIKE '%follow%'
       2       251      INNER JOIN HASH ON movie_id24 = movie_id
      32     10544      │└INNER JOIN HASH ON keyword_id = id11
       1         1       │└TABLE SCAN keyword WHERE keyword = sequel
 4523930   4523930       TABLE SCAN movie_keyword
   29997     29997      TABLE SCAN movie_link
  101416        40     TABLE SCAN movie_info WHERE info BETWEEN Denish AND Swedish AND info IN(Denish,Denmark,German,Germany,Norway,Norwegian,Sweden,Swedish)
  886390         8    TABLE SCAN title WHERE production_year BETWEEN 1950 AND 2000
 1203251        38   TABLE SCAN movie_companies WHERE note IS NULL
   51405         8  TABLE SCAN company_name WHERE name LIKE '%Film%' OR name LIKE '%Warner%' AND country_code <> pl
Native storage
Estimate    Actual  Operator
       -         ∞  PROJECT a1 AS company_name, a2 AS link_type, a3 AS western_follow_up
       -         ∞  AGGREGATE MIN(name) AS a1, MIN(link) AS a2, MIN(title) AS a3
       -         ∞  PROJECT name, link, title
       -         ∞  FILTER 0
       -         ∞  PROJECT name, link, title
       -         ∞  INNER JOIN HASH ON TRUE
       -         0  │└PROJECT title
       -         0   FILTER 0
       -   2528312   PROJECT title
       -   2528312   TABLE SCAN title
       -         ∞  PROJECT name, link
       -         ∞  FILTER 0
       -         ∞  PROJECT name, link
       -         ∞  INNER JOIN HASH ON PROJECTION_2132.__lhs_const = PROJECTION_2129.__rhs_const
       -         ∞  │└PROJECT __rhs_const, id
       -     29997   PROJECT id
       -     29997   TABLE SCAN movie_link
       -         ∞  PROJECT __lhs_const, name, link
       -         ∞  PROJECT name, link
       -         ∞  INNER JOIN HASH ON PROJECTION_2138.__lhs_const = PROJECTION_2135.__rhs_const
       -         ∞  │└PROJECT __rhs_const, movie_id
       -   4523930   PROJECT movie_id
       -   4523930   TABLE SCAN movie_keyword
       -         ∞  PROJECT __lhs_const, name, link
       -         ∞  PROJECT name, link
       -         ∞  INNER JOIN HASH ON PROJECTION_2144.__lhs_const = PROJECTION_2141.__rhs_const
       -         ∞  │└PROJECT __rhs_const, info_type_id
       -  14835720   PROJECT info_type_id
       -  14835720   TABLE SCAN movie_info
       -         ∞  PROJECT __lhs_const, name, link
       -         ∞  PROJECT name, link
       -         ∞  INNER JOIN HASH ON PROJECTION_2150.__lhs_const = PROJECTION_2147.__rhs_const
       -         ∞  │└PROJECT __rhs_const, company_type_id
       -   2609129   PROJECT company_type_id
       -   2609129   TABLE SCAN movie_companies
       -         ∞  PROJECT __lhs_const, name, link
       -         ∞  PROJECT name, link
       -         ∞  INNER JOIN HASH ON PROJECTION_2156.__lhs_const = PROJECTION_2153.__rhs_const
       -         ∞  │└PROJECT __rhs_const, link
       -        18   PROJECT link
       -        18   TABLE SCAN link_type
       -         ∞  PROJECT __lhs_const, name
       -         ∞  PROJECT name
       -         ∞  INNER JOIN HASH ON PROJECTION_2162.__lhs_const = PROJECTION_2159.__rhs_const
       -         ∞  │└PROJECT __rhs_const, id
       -    134170   PROJECT id
       -    134170   TABLE SCAN keyword
       -         ∞  PROJECT __lhs_const, name
       -    939988  PROJECT name
       -    939988  INNER JOIN HASH ON TRUE
       -         4  │└PROJECT id
       -         4   PROJECT id
       -         4   TABLE SCAN company_type
       -    234997  PROJECT name
       -    234997  PROJECT name
       -    234997  TABLE SCAN company_name
Native storage
Estimate    Actual  Operator
       -         1  AGGREGATE MIN(#0), MIN(#1), MIN(#2)
       0      1410  PROJECT name, link, title
       0      1410  INNER JOIN HASH ON movie_id = movie_id
       0       310  │└INNER JOIN HASH ON id = company_type_id
       0       330   │└INNER JOIN HASH ON id = company_id
       0       705    │└INNER JOIN HASH ON movie_id = movie_id
       0       152     │└INNER JOIN HASH ON id = movie_id
       0       199      │└INNER JOIN HASH ON id = link_type_id
       0       251       │└INNER JOIN HASH ON movie_id = movie_id
      69        46        │└INNER JOIN HASH ON keyword_id = id
       2         1         │└TABLE SCAN keyword WHERE keyword = 'sequel'
 4523930        46         TABLE SCAN movie_keyword WHERE movie_id <= 186175
   29997       286        TABLE SCAN movie_link
       3         2       FILTER id <= 17
       3         2       TABLE SCAN link_type WHERE contains(link,'follow')
  505662        30      FILTER id BETWEEN 2 AND 186175
  505662        31      TABLE SCAN title WHERE production_year >= 1950 AND production_year <= 2000
  521825        76     FILTER movie_id <= 186175
  521825        76     TABLE SCAN movie_companies WHERE note IS NULL
   46999        11    TABLE SCAN company_name WHERE country_code != 'pl' AND (contains(name,'Film') OR contains(name,'Warner'))
       1         1   FILTER id <= 2
       1         1   TABLE SCAN company_type WHERE kind = 'production companies'
 2967144        31  FILTER movie_id BETWEEN 2 AND 186175
 2967144        31  FILTER IN ...
14835720       217  INNER JOIN HASH ON info = #0
       0         8  │└SCAN MATERIALISED
14835720       217  TABLE SCAN movie_info WHERE info IN('Sweden','Norway','Germany','Denmark','Swedish','Denish','Norwegian','German')
Apache Iceberg
Estimate    Actual  Operator
       1         1  PROJECT company_name, link_type, western_follow_up
       1         1  AGGREGATE MIN(name), MIN(link), MIN(title)
    6313        10  DISTRIBUTE GATHER
    6313        10  AGGREGATE MIN(name), MIN(link), MIN(title)
    6313      1410  INNER JOIN HASH ON movie_id = id AND movie_id = id AND movie_id = id AND movie_id = id
    6313      1816  │└DISTRIBUTE GATHER
    6313      1816   PROJECT name, movie_id, movie_id, movie_id, movie_id, link
    6313      1816   INNER JOIN HASH ON id = link_type_id
       4         2   │└DISTRIBUTE GATHER
       4         2    FILTER link LIKE '%follow%'
      18        18    DISTRIBUTE ROUND ROBIN
      18        18    TABLE SCAN link_type WHERE link LIKE '%follow%'
   26834      1816   INNER JOIN HASH ON movie_id = movie_id AND movie_id = movie_id AND movie_id = movie_id
   26834       952   │└DISTRIBUTE GATHER
   26834       952    INNER JOIN HASH ON id = keyword_id
   26834         1    │└DISTRIBUTE GATHER
   26834         1     FILTER keyword = 'sequel'
  134170    134170     DISTRIBUTE ROUND ROBIN
  134170    134170     TABLE SCAN keyword WHERE keyword = 'sequel'
  109759    446140    INNER JOIN HASH ON movie_id = movie_id AND movie_id = movie_id
   61285     61621    │└DISTRIBUTE GATHER
   61285     61621     INNER JOIN HASH ON movie_id = movie_id
   52183    224256     │└DISTRIBUTE GATHER
   52183    224256      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'
  104366    225118      INNER JOIN HASH ON id = company_id
   47000     48302      │└DISTRIBUTE GATHER
   47000     48302       FILTER (country_code <> 'pl') AND (name LIKE '%Film%' OR name LIKE '%Warner%')
  234997    234997       TABLE SCAN company_name WHERE (country_code <> 'pl') AND (name LIKE '%Film%' OR name LIKE '%Warner%')
  521826   1197292      FILTER note IS NULL
 2609129   1376261      TABLE SCAN movie_companies WHERE (note IS NULL AND (((company_id >= 9) AND (company_id <= 234994)) AND TRUE)) AND (((company_type_id >= 2) AND (company_type_id <= 2)) AND company_type_id IN 2)
 2967144    153897     FILTER info IN('Sweden','Norway','Germany','Denmark','Swedish','Denish','Norwegian','German')
14835720   9042947     TABLE SCAN movie_info WHERE info IN('Sweden','Norway','Germany','Denmark','Swedish','Denish','Norwegian','German') AND (((movie_id >= 50) AND (movie_id <= 2525744)) AND TRUE)
 4523930   4523930    TABLE SCAN movie_keyword WHERE ((((movie_id >= 870) AND (movie_id <= 2525727)) AND ((movie_id >= 870) AND (movie_id <= 2525727))) AND TRUE) AND (((keyword_id >= 398) AND (keyword_id <= 398)) AND keyword_id IN 398)
   29997     29997   DISTRIBUTE ROUND ROBIN
   29997     29997   TABLE SCAN movie_link WHERE (((((movie_id >= 31741) AND (movie_id <= 2525069)) AND ((movie_id >= 31741) AND (movie_id <= 2525069))) AND ((movie_id >= 31741) AND (movie_id <= 2525069))) AND TRUE) AND (((link_type_id >= 1) AND (link_type_id <= 2)) AND link_type_id IN(1,2))
  921028    736454  FILTER (production_year >= 1950) AND (production_year <= 2000)
 2528312   2036792  TABLE SCAN title WHERE ((production_year >= 1950) AND (production_year <= 2000)) AND ((((((id >= 31741) AND (id <= 138935)) AND ((id >= 31741) AND (id <= 138935))) AND ((id >= 31741) AND (id <= 138935))) AND ((id >= 31741) AND (id <= 138935))) AND struct(id,id,id,id) IN( < expr > , < expr > , < expr > , < expr > , < expr > , < expr > , < expr > , < expr > , < expr > , < expr > , < expr > , < expr > , < expr > , < expr > , < expr > , < expr > , < expr > , < expr > , < expr ...
Native storage
Estimate    Actual  Operator
       1         1  AGGREGATE MIN(cn.name), MIN(lt.link), MIN(t.title)
       1         1  DISTRIBUTE GATHER
       1         1  AGGREGATE MIN(cn.name), MIN(lt.link), MIN(t.title)
     886      1410  INNER JOIN HASH ON mk.movie_id = mc.movie_id
     886       152  │└DISTRIBUTE GATHER
     886       152   INNER JOIN HASH ON ml.link_type_id = lt.id
     886         2   │└DISTRIBUTE GATHER
 4520000         2    TABLE SCAN link_type WHERE contains(lt.link,'follow')
     199       196   INNER JOIN HASH ON mk.movie_id = ml.movie_id
     199      5541   │└DISTRIBUTE GATHER
      75      5541    INNER JOIN HASH ON mk.movie_id = t.id
      75     10544    │└DISTRIBUTE GATHER
      71     10544     INNER JOIN HASH ON mk.keyword_id = k.id
      71         1     │└DISTRIBUTE GATHER
14800000         1      TABLE SCAN keyword WHERE k.keyword = 'sequel'
      18   4519836     TABLE SCAN movie_keyword
  235000    906840    TABLE SCAN title WHERE (t.production_year IS NOT NULL) AND (t.production_year >= 1950L) AND (t.production_year <= 2000L)
  134000     25902   TABLE SCAN movie_link
     886     61621  INNER JOIN HASH ON mc.company_id = cn.id
     886     48302  │└DISTRIBUTE GATHER
 2530000     48302   TABLE SCAN company_name WHERE (cn.country_code IS NOT NULL) AND ( NOT (cn.country_code = 'pl')) AND (contains(cn.name,'Film') OR contains(cn.name,'Warner'))
     192    155016  INNER JOIN HASH ON mc.company_type_id = ct.id
     192         1  │└DISTRIBUTE GATHER
 2610000         1   TABLE SCAN company_type WHERE ct.kind = 'production companies'
     192    155016  INNER JOIN HASH ON mc.movie_id = mi.movie_id
     192    153897  │└DISTRIBUTE GATHER
   30000    153897   TABLE SCAN movie_info WHERE mi.info IN('Sweden','Norway','Germany','Denmark','Swedish','Denish','Norwegian','German')
       4   1190475  TABLE SCAN movie_companies WHERE mc.note IS NULL
Native storage
Estimate    Actual  Operator
       1         1  AGGREGATE MIN(name as name) AS Expr1018, MIN(link as link) AS Expr1019, MIN(title as title) AS Expr1020
       1      1410  FILTER (name as name LIKE '%Film%' OR name as name LIKE '%Warner%') AND country_code as country_code <> 'pl'
       2      3029  INNER JOIN LOOP ON Bmk1000 = Bmk1000
       1      3029  │└TABLE SEEK company_name AS cn
       2      3029  INNER JOIN LOOP ON mc.company_id = cn.id
       1      3029  │└TABLE SEEK company_name AS cn
       2      3029  FILTER kind as kind = 'production companies'
       4      3124  INNER JOIN LOOP ON Bmk1002 = Bmk1002
       1      3124  │└TABLE SEEK company_type AS ct
       4      3124  INNER JOIN LOOP ON mc.company_type_id = ct.id
       1      3124  │└TABLE SEEK company_type AS ct
       4      3124  FILTER note as note IS NULL
       9      3732  INNER JOIN LOOP ON Bmk1008 = Bmk1008
       1      3732  │└TABLE SEEK movie_companies AS mc
       9      3732  PROJECT BmkToPage Bmk1008 AS Expr1073
       9      3732  INNER JOIN LOOP ON t.id = mc.movie_id
       9      3732  │└TABLE SEEK movie_companies AS mc
       1       517  INNER JOIN LOOP ON Bmk1016 = Bmk1016
       1       517  │└TABLE SEEK title AS t WHERE production_year as production_year >= 1950 AND production_year as production_year <= 2000
       1       684  PROJECT BmkToPage Bmk1016 AS Expr1072
       1       684  INNER JOIN LOOP ON ml.movie_id = t.id
       1       684  │└TABLE SEEK title AS t
       1       684  INNER JOIN LOOP ON ml.movie_id = mi.movie_id
       1       684  │└TABLE SEEK movie_info AS mi WHERE info as info = 'Denish' 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'
       1       199  FILTER link as link LIKE '%follow%'
       7       251  INNER JOIN LOOP ON Bmk1006 = Bmk1006
       1       251  │└TABLE SEEK link_type AS lt
       7       251  INNER JOIN LOOP ON ml.link_type_id = lt.id
       1       251  │└TABLE SEEK link_type AS lt
       7       251  INNER JOIN HASH ON ml.movie_id = mk.movie_id
      90     10544  │└INNER JOIN LOOP ON Bmk1012 = Bmk1012
       1     10544   │└TABLE SEEK movie_keyword AS mk
      90     10544   INNER JOIN LOOP ON k.id = mk.keyword_id
      90     10544   │└TABLE SEEK movie_keyword AS mk
       1         1   TABLE SCAN keyword AS k WHERE keyword as keyword = 'sequel'
       2       250  TABLE SEEK movie_link AS ml WHERE BLOOM(movie_id as movie_id)
Apache Iceberg
Estimate    Actual  Operator
       1         ∞  PROJECT min AS company_name, min_39 AS link_type, min_40 AS western_follow_up
       1         1  AGGREGATE MIN(min_41) AS min, MIN(min_42) AS min_39, MIN(min_43) AS min_40
       -        16  DISTRIBUTE GATHER
       -        16  AGGREGATE MIN(name) AS min_41, MIN(link) AS min_42, MIN(title) AS min_43
       -      1410  INNER JOIN HASH ON movie_id = id_32
  883532    910581  │└DISTRIBUTE HASH ON id_32
  883532    910581   PROJECT id AS id_32, title
  883532    910581   FILTER production_year BETWEEN 1950 AND 2000
  883532    910581   TABLE SCAN title
       -      1816  INNER JOIN HASH ON link_type_id = id_8
      18         2  │└DISTRIBUTE GATHER
      18         2   PROJECT id AS id_8, link
      18         2   FILTER link LIKE '%follow%'
      18         2   TABLE SCAN link_type
       -      1816  INNER JOIN HASH ON movie_id = movie_id_28
   29997      2315  │└DISTRIBUTE GATHER
   29997      2315   PROJECT movie_id AS movie_id_28, link_type_id
   29997      2315   TABLE SCAN movie_link
       -       100  INNER JOIN HASH ON keyword_id = id_4
  134170         1  │└DISTRIBUTE GATHER
  134170         1   PROJECT id AS id_4
  134170         1   FILTER keyword = 'sequel'
  134170         1   TABLE SCAN keyword
       -       100  INNER JOIN HASH ON movie_id = movie_id_23
 4523930        30  │└DISTRIBUTE HASH ON movie_id_23
 4523930        30   PROJECT movie_id AS movie_id_23, keyword_id
 4523930        30   TABLE SCAN movie_keyword
       -       100  INNER JOIN HASH ON movie_id = movie_id_17
13352148        40  │└DISTRIBUTE HASH ON movie_id_17
13352148        40   PROJECT movie_id AS movie_id_17
13352148        40   FILTER info IN('Denish','Denmark','German','Germany','Norway','Norwegian','Sweden','Swedish')
13352148        40   TABLE SCAN movie_info
       -        23  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
       -        23  INNER JOIN HASH ON company_id = id
   94983     48302  │└DISTRIBUTE GATHER
   94983     48302   FILTER (country_code <> 'pl') AND ((name LIKE '%Film%') OR (name LIKE '%Warner%'))
   94983     48302   TABLE SCAN company_name
 1271989        23  FILTER note IS NULL
 1271989        23  TABLE SCAN movie_companies
Native storage
Estimate    Actual  Operator
       1         1  AGGREGATE MIN(name), MIN(link), MIN(title)
       1      1410  INNER JOIN LOOP ON id = movie_id AND movie_id = id AND (movie_id = id)
       1      1816  │└INNER JOIN LOOP ON movie_id = movie_id AND movie_id = movie_id AND (movie_id = movie_id)
       1       402   │└INNER JOIN LOOP ON id = company_type_id
       1       422    │└INNER JOIN LOOP ON id = company_id
       1      1021     │└INNER JOIN LOOP ON movie_id = movie_id AND movie_id = movie_id AND (movie_id = movie_id)
       1       199      │└INNER JOIN LOOP ON keyword = 'sequel' AND id = link_type_id AND (id = link_type_id)
       1         2       │└TABLE SCAN link_type AS lt WHERE lt.link LIKE '%follow%'
      20       502       INNER JOIN LOOP ON movie_id = movie_id
      68     21088       │└INNER JOIN LOOP ON keyword_id = id
       2         2        │└TABLE SEEK keyword AS k
     610     21088        TABLE SEEK movie_keyword AS mk
  105440     21088       TABLE SEEK movie_link AS ml
     398      1020      TABLE SEEK movie_companies AS mc WHERE mc.note IS NULL
    1021      1021     TABLE SEEK company_name AS cn WHERE (cn.country_code <> 'pl') AND ((cn.name LIKE '%Film%') OR (cn.name LIKE '%Warner%'))
     422       422    TABLE SEEK company_type AS ct WHERE ct.kind = 'production companies'
     402      1817   TABLE SEEK movie_info AS mi WHERE mi.info IN('Sweden','Norway','Germany','Denmark','Swedish','Denish','Norwegian','German')
    1816      1816  TABLE SEEK title AS t WHERE (t.production_year >= 1950) AND (t.production_year <= 2000)