PlannerIMDB — JOB-21C

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',
                  'English')
  AND t.production_year BETWEEN 1950 AND 2010
  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
4,554,107
4.6M
Rank
Estimation Error
Est Err
4,558,116
4.6M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
25,804
26K
Rank
Estimation Error
Est Err
1,874
1.9K
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
8,615,644
8.6M
Rank
Estimation Error
Est Err
9,367,314
9.4M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
1,914,740
1.9M
Rank
Estimation Error
Est Err
1,875
1.9K
Rank
Estimation Error
Est Err
1,003,643
1M
Rank
Apache Iceberg
Estimation Error
Est Err
17,379,116
17M
Rank
Estimation Error
Est Err
9,909,824
9.9M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
2,145,473
2.1M
Rank
Estimation Error
Est Err
1,884
1.9K
Rank
Estimation Error
Est Err
598,883
599K
Rank
Native storage
Estimation Error
Est Err
753
753
Rank
Estimation Error
Est Err
4,712
4.7K
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
5,348
5.3K
Rank
Estimation Error
Est Err
1,874
1.9K
Rank
Estimation Error
Est Err
0
Rank
Native storage
Estimation Error
Est Err
48,391
48K
Rank
Estimation Error
Est Err
48,389
48K
Rank
Estimation Error
Est Err
48,890
49K
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
48,587
49K
Rank
Estimation Error
Est Err
1,874
1.9K
Rank
Estimation Error
Est Err
0
Rank
Native storage
Estimation Error
Est Err
56,529
57K
Rank
Estimation Error
Est Err
56,528
57K
Rank
Estimation Error
Est Err
56,529
57K
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
66,822
67K
Rank
Estimation Error
Est Err
1,874
1.9K
Rank
Estimation Error
Est Err
0
Rank
Apache Iceberg
Estimation Error
Est Err
1,951,102
2M
Rank
Estimation Error
Est Err
5,992
6K
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
1,953,203
2M
Rank
Estimation Error
Est Err
1,890
1.9K
Rank
Estimation Error
Est Err
1,951,092
2M
Rank

Actual Query Plans

Query Plan per Engine ?
Query Plan
Native storage
Estimate    Actual  Operator
       1         1  AGGREGATE min, min, min
       1      1874  INNER JOIN HASH ON movie_id46 = movie_id64
       1       402  │└INNER JOIN HASH ON company_type_id = id
       1         1   │└TABLE SCAN company_type WHERE kind = production companies
       1       422   INNER JOIN HASH ON company_id = id53
       1      1021   │└INNER JOIN HASH ON id30 = movie_id46
       1       199    │└INNER JOIN HASH ON id30 = movie_id
       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
 1923393        29     TABLE SCAN title WHERE production_year BETWEEN 1950 AND 2010
 1203251        91    TABLE SCAN movie_companies WHERE note IS NULL
   51405        13   TABLE SCAN company_name WHERE name LIKE '%Film%' OR name LIKE '%Warner%' AND country_code <> pl
  898256        43  TABLE SCAN movie_info WHERE info BETWEEN Denish AND Swedish AND info IN(Denish,Denmark,English,German,Germany,Norway,Norwegian,Sweden,Swedish)
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_2244.__lhs_const = PROJECTION_2241.__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_2250.__lhs_const = PROJECTION_2247.__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_2256.__lhs_const = PROJECTION_2253.__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_2262.__lhs_const = PROJECTION_2259.__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_2268.__lhs_const = PROJECTION_2265.__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_2274.__lhs_const = PROJECTION_2271.__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      1874  PROJECT name, link, title
       0      1874  INNER JOIN HASH ON movie_id = movie_id
       0       402  │└INNER JOIN HASH ON id = company_type_id
       0       422   │└INNER JOIN HASH ON id = company_id
       0      1021    │└INNER JOIN HASH ON movie_id = movie_id
       0       199     │└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        37      FILTER id BETWEEN 2 AND 186175
  505662        38      TABLE SCAN title WHERE production_year >= 1950 AND production_year <= 2010
  521825        94     FILTER movie_id <= 186175
  521825        94     TABLE SCAN movie_companies WHERE note IS NULL
   46999        13    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        43  FILTER movie_id BETWEEN 2 AND 186175
 2967144        43  FILTER IN ...
14835720       263  INNER JOIN HASH ON info = #0
       0         9  │└SCAN MATERIALISED
14835720       263  TABLE SCAN movie_info WHERE info IN('Sweden','Norway','Germany','Denmark','Swedish','Denish','Norwegian','German','English')
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      1874  INNER JOIN HASH ON movie_id = id AND movie_id = id AND movie_id = id AND movie_id = id
    6313      1874  │└DISTRIBUTE GATHER
    6313      1874   PROJECT name, movie_id, movie_id, movie_id, movie_id, link
    6313      1874   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      1894   INNER JOIN HASH ON movie_id = movie_id AND movie_id = movie_id AND movie_id = movie_id
   26834      2227   │└DISTRIBUTE GATHER
   26834      2227    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   1463641    INNER JOIN HASH ON movie_id = movie_id AND movie_id = movie_id
   61285    158021    │└DISTRIBUTE GATHER
   61285    158021     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    936223     FILTER info IN('Sweden','Norway','Germany','Denmark','Swedish','Denish','Norwegian','German','English')
14835720   9042947     TABLE SCAN movie_info WHERE info IN('Sweden','Norway','Germany','Denmark','Swedish','Denish','Norwegian','German','English') AND (((movie_id >= 50) AND (movie_id <= 2525744)) AND TRUE)
 4523930   4523930    TABLE SCAN movie_keyword WHERE ((((movie_id >= 50) AND (movie_id <= 2525744)) AND ((movie_id >= 50) AND (movie_id <= 2525744))) 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))
 1101622   1531729  FILTER (production_year >= 1950) AND (production_year <= 2010)
 2528312   2036792  TABLE SCAN title WHERE ((production_year >= 1950) AND (production_year <= 2010)) 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      1874  INNER JOIN HASH ON mk.movie_id = mc.movie_id
     886       199  │└DISTRIBUTE GATHER
     886       199   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       248   INNER JOIN HASH ON mk.movie_id = ml.movie_id
     199      8370   │└DISTRIBUTE GATHER
      75      8370    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   1894760    TABLE SCAN title WHERE (t.production_year IS NOT NULL) AND (t.production_year >= 1950L) AND (t.production_year <= 2010L)
  134000     25911   TABLE SCAN movie_link
     886    158021  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    788965  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    788965  INNER JOIN HASH ON mc.movie_id = mi.movie_id
     192    936223  │└DISTRIBUTE GATHER
   30000    936223   TABLE SCAN movie_info WHERE mi.info IN('Sweden','Norway','Germany','Denmark','Swedish','Denish','Norwegian','German','English')
       4   1190608  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
       5      1874  INNER JOIN LOOP ON Bmk1016 = Bmk1016
       0      1874  │└TABLE SEEK title AS t WHERE production_year as production_year >= 1950 AND production_year as production_year <= 2010
       7      1874  PROJECT BmkToPage Bmk1016 AS Expr1071
       7      1874  INNER JOIN LOOP ON ml.movie_id = t.id
       1      1874  │└TABLE SEEK title AS t
       7      1874  FILTER (name as name LIKE '%Film%' OR name as name LIKE '%Warner%') AND country_code as country_code <> 'pl'
       7      4395  INNER JOIN LOOP ON Bmk1000 = Bmk1000
       1      4395  │└TABLE SEEK company_name AS cn
       7      4395  INNER JOIN LOOP ON mc.company_id = cn.id
       1      4395  │└TABLE SEEK company_name AS cn
       7      4395  FILTER kind as kind = 'production companies'
      15      4602  INNER JOIN LOOP ON Bmk1002 = Bmk1002
       1      4602  │└TABLE SEEK company_type AS ct
      15      4602  INNER JOIN LOOP ON mc.company_type_id = ct.id
       1      4602  │└TABLE SEEK company_type AS ct
      15      4602  FILTER note as note IS NULL
      32      6100  INNER JOIN LOOP ON Bmk1008 = Bmk1008
       1      6100  │└TABLE SEEK movie_companies AS mc
      32      6100  PROJECT BmkToPage Bmk1008 AS Expr1069
      32      6100  INNER JOIN LOOP ON ml.movie_id = mc.movie_id
       9      6100  │└TABLE SEEK movie_companies AS mc
       3       746  INNER JOIN LOOP ON ml.movie_id = mi.movie_id
       3       746  │└TABLE SEEK movie_info AS mi WHERE info as info = 'Denish' OR info as info = 'Denmark' OR info as info = 'English' 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
       -      1874  INNER JOIN HASH ON movie_id = id_32
 1060238   1900368  │└DISTRIBUTE HASH ON id_32
 1060238   1900368   PROJECT id AS id_32, title
 1060238   1900368   FILTER production_year BETWEEN 1950 AND 2010
 1060238   1900368   TABLE SCAN title
       -      1874  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
       -      1874  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
       -       106  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
       -       106  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
       -       106  INNER JOIN HASH ON movie_id = movie_id_17
13352148        57  │└DISTRIBUTE HASH ON movie_id_17
13352148        57   PROJECT movie_id AS movie_id_17
13352148        57   FILTER info IN('Denish','Denmark','English','German','Germany','Norway','Norwegian','Sweden','Swedish')
13352148        57   TABLE SCAN movie_info
       -        26  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
       -        26  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        26  FILTER note IS NULL
 1271989        26  TABLE SCAN movie_companies
Native storage
Estimate    Actual  Operator
       1         1  AGGREGATE MIN(name), MIN(link), MIN(title)
       1      1874  INNER JOIN LOOP ON id = movie_id AND movie_id = id AND (movie_id = id)
       1      1874  │└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'
    1206      1873   TABLE SEEK movie_info AS mi WHERE mi.info IN('Sweden','Norway','Germany','Denmark','Swedish','Denish','Norwegian','German','English')
    1874      1874  TABLE SEEK title AS t WHERE (t.production_year >= 1950) AND (t.production_year <= 2010)