PlannerIMDB — JOB-14A

SELECT MIN(mi_idx.info) AS rating,
       MIN(t.title) AS northern_dark_movie
FROM job.info_type AS it1,
     job.info_type AS it2,
     job.keyword AS k,
     job.kind_type AS kt,
     job.movie_info AS mi,
     job.movie_info_idx AS mi_idx,
     job.movie_keyword AS mk,
     job.title AS t
WHERE it1.info = 'countries'
  AND it2.info = 'rating'
  AND k.keyword IN ('murder',
                    'murder-in-title',
                    'blood',
                    'violence')
  AND kt.kind = 'movie'
  AND mi.info IN ('Sweden',
                  'Norway',
                  'Germany',
                  'Denmark',
                  'Swedish',
                  'Denish',
                  'Norwegian',
                  'German',
                  'USA',
                  'American')
  AND mi_idx.info < '8.5'
  AND t.production_year > 2010
  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 mk.movie_id = mi.movie_id
  AND mk.movie_id = mi_idx.movie_id
  AND mi.movie_id = mi_idx.movie_id
  AND k.id = mk.keyword_id
  AND it1.id = mi.info_type_id
  AND it2.id = mi_idx.info_type_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
4,526,933
4.5M
Rank
Estimation Error
Est Err
4,532,326
4.5M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
81,437
81K
Rank
Estimation Error
Est Err
761
761
Rank
Estimation Error
Est Err
0
Rank
Native storage
Estimation Error
Est Err
21,223,123
21M
Rank
Estimation Error
Est Err
8,660,405
8.7M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
17,635,189
18M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
0
Rank
Native storage
Estimation Error
Est Err
6,337,528
6.3M
Rank
Estimation Error
Est Err
6,461,895
6.5M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
1,423,194
1.4M
Rank
Estimation Error
Est Err
762
762
Rank
Estimation Error
Est Err
707,231
707K
Rank
Apache Iceberg
Estimation Error
Est Err
8,691,642
8.7M
Rank
Estimation Error
Est Err
8,888,302
8.9M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
4,510,342
4.5M
Rank
Estimation Error
Est Err
771
771
Rank
Estimation Error
Est Err
6,844,440
6.8M
Rank
Native storage
Estimation Error
Est Err
1,642,405
1.6M
Rank
Estimation Error
Est Err
1,970,147
2M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
2,047,693
2M
Rank
Estimation Error
Est Err
761
761
Rank
Estimation Error
Est Err
0
Rank
Native storage
Estimation Error
Est Err
79,616
80K
Rank
Estimation Error
Est Err
79,615
80K
Rank
Estimation Error
Est Err
83,339
83K
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
84,979
85K
Rank
Estimation Error
Est Err
761
761
Rank
Estimation Error
Est Err
0
Rank
Native storage
Estimation Error
Est Err
198,303
198K
Rank
Estimation Error
Est Err
198,299
198K
Rank
Estimation Error
Est Err
257,692
258K
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
235,390
235K
Rank
Estimation Error
Est Err
761
761
Rank
Estimation Error
Est Err
0
Rank
Apache Iceberg
Estimation Error
Est Err
103,900
104K
Rank
Estimation Error
Est Err
4,710
4.7K
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
105,966
106K
Rank
Estimation Error
Est Err
777
777
Rank
Estimation Error
Est Err
103,382
103K
Rank

Actual Query Plans

Query Plan per Engine ?
Query Plan
Native storage
Estimate    Actual  Operator
       1         1  AGGREGATE min, min
       1       761  INNER JOIN HASH ON id = info_type_id53
       1         1  │└TABLE SCAN info_type WHERE info = rating
       2       761  INNER JOIN HASH ON movie_id44 = movie_id52
       2      1281  │└INNER JOIN HASH ON id6 = info_type_id
       1         1   │└TABLE SCAN info_type WHERE info = countries
      12      1391   INNER JOIN HASH ON movie_id = movie_id44
       5      1966   │└INNER JOIN HASH ON id11 = kind_id
       1         1    │└TABLE SCAN kind_type WHERE kind = movie
      20      2046    INNER JOIN HASH ON id28 = movie_id
     129     37091    │└INNER JOIN HASH ON id16 = keyword_id
       4         3     │└TABLE SCAN keyword WHERE keyword IN(blood,murder,murder - in - title,violence)
 4523930   4523930     TABLE SCAN movie_keyword
  365420      1513    TABLE SCAN title WHERE production_year >= 2011
  608496      1001   TABLE SCAN movie_info WHERE info BETWEEN American AND USA AND info46 IN(American,Denish,Denmark,German,Germany,Norway,Norwegian,Sweden,Swedish,USA)
 1342299       483  TABLE SCAN movie_info_idx WHERE info < 8.5
Native storage
Estimate    Actual  Operator
       -         1  PROJECT a1 AS rating, a2 AS northern_dark_movie
       -         1  AGGREGATE MIN(info) AS a1, MIN(title) AS a2
       -         0  PROJECT info, title
       -         0  PROJECT info, title
       -         0  INNER JOIN HASH ON tuple(PROJECTION_696.movie_id,PROJECTION_696.movie_id,PROJECTION_696.movie_id,PROJECTION_696.movie_id) = tuple(PROJECTION_675.movie_id,PROJECTION_675.movie_id,PROJECTION_675.id,PROJECTION_675.id)
       -    164339  │└PROJECT movie_id AS movie_id_right, id, title
       -    164339   PROJECT movie_id, title, id
       -    164339   INNER JOIN HASH ON PROJECTION_681.kind_id = PROJECTION_678.id
       -         1   │└PROJECT id AS id_right
       -         1    PROJECT id
       -         1    TABLE SCAN kind_type WHERE kind = 'movie'
       -    299534   PROJECT kind_id, movie_id, title, id_left
       -    299534   PROJECT movie_id, title, id, kind_id
       -    299534   INNER JOIN HASH ON PROJECTION_687.keyword_id = PROJECTION_684.id
       -    134170   │└PROJECT id AS id_right
       -    134170    PROJECT id
       -    134170    TABLE SCAN keyword WHERE TRUE
       -    299534   PROJECT keyword_id, movie_id, title, id AS id_left, kind_id
       -    299534   PROJECT movie_id, keyword_id, title, id, kind_id
       -    299534   INNER JOIN HASH ON PROJECTION_693.movie_id = PROJECTION_690.id
       -    391666   │└PROJECT id, title, kind_id
       -    391666    PROJECT id, title, kind_id
       -    391666    TABLE SCAN title WHERE production_year > 2010
       -   4523930   PROJECT movie_id, keyword_id
       -   4523930   PROJECT movie_id, keyword_id
       -   4523930   TABLE SCAN movie_keyword
       -    420182  PROJECT movie_id AS movie_id_left, movie_id AS movie_id_left_2, info
       -    420182  PROJECT movie_id, info, movie_id
       -    420182  INNER JOIN HASH ON PROJECTION_708.movie_id = PROJECTION_699.movie_id
       -   1325361  │└PROJECT movie_id AS movie_id_right
       -   1325361   PROJECT movie_id
       -   1325361   INNER JOIN HASH ON PROJECTION_705.id = PROJECTION_702.info_type_id
       -  14835720   │└PROJECT info_type_id, movie_id
       -  14835720    PROJECT info_type_id, movie_id
       -  14835720    TABLE SCAN movie_info WHERE TRUE
       -         1   PROJECT id
       -         1   PROJECT id
       -         1   TABLE SCAN info_type WHERE info = 'countries'
       -    454230  PROJECT movie_id AS movie_id_left, info
       -    454230  PROJECT info, movie_id
       -    454230  INNER JOIN HASH ON PROJECTION_714.info_type_id = PROJECTION_711.id
       -         1  │└PROJECT id
       -         1   PROJECT id
       -         1   TABLE SCAN info_type WHERE info = 'rating'
       -   1337634  PROJECT info_type_id, info, movie_id
       -   1337634  PROJECT movie_id, info, info_type_id
       -   1337634  TABLE SCAN movie_info_idx WHERE info < '8.5'
Native storage
Estimate    Actual  Operator
       -         1  AGGREGATE MIN(#0), MIN(#1)
       1       761  PROJECT info, title
       1       761  INNER JOIN HASH ON id = keyword_id
       5     75669  │└INNER JOIN HASH ON movie_id = movie_id
       3      8746   │└INNER JOIN HASH ON info_type_id = id
       2         1    │└FILTER id <= 110
       2         1     TABLE SCAN info_type WHERE info = 'countries'
     169      8746    INNER JOIN HASH ON movie_id = movie_id
     142     17272    │└INNER JOIN HASH ON kind_id = id
       1         1     │└TABLE SCAN kind_type WHERE kind = 'movie'
     994     17272     INNER JOIN HASH ON id = movie_id
    4885    454230     │└INNER JOIN HASH ON info_type_id = id
       2         1      │└FILTER id >= 99
       2         1       TABLE SCAN info_type WHERE info = 'rating'
  276007    454230      TABLE SCAN movie_info_idx WHERE info < '8.5'
  505662     17561     FILTER id BETWEEN 2 AND 2525793
  505662     17562     TABLE SCAN title WHERE production_year > 2010
 2967144    435112    FILTER movie_id BETWEEN 2 AND 2525793
 2967144    435119    FILTER IN ...
14835720    944605    INNER JOIN HASH ON info = #0
       0        10    │└SCAN MATERIALISED
14835720    944605    TABLE SCAN movie_info WHERE info IN('Sweden','Norway','Germany','Denmark','Swedish','Denish','Norwegian','German','USA','American')
 4523930     91860   TABLE SCAN movie_keyword WHERE movie_id <= 2525793
   26834         3  FILTER (keyword = 'murder') OR (keyword = 'murder-in-title') OR (keyword = 'blood') OR (keyword = 'violence')
  134170    134135  TABLE SCAN keyword WHERE keyword IN('murder','murder-in-title','blood','violence')
Apache Iceberg
Estimate    Actual  Operator
       1         1  PROJECT rating, northern_dark_movie
       1         1  AGGREGATE MIN(info), MIN(title)
   28246        10  DISTRIBUTE GATHER
   28246        10  AGGREGATE MIN(info), MIN(title)
   28246       761  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'
   98863       917  INNER JOIN HASH ON movie_id = id AND movie_id = id AND movie_id = id
   98863     20967  │└DISTRIBUTE GATHER
   98863     20967   INNER JOIN HASH ON id = keyword_id
   26834         3   │└DISTRIBUTE GATHER
   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')
  494319   2302523   INNER JOIN HASH ON movie_id = movie_id AND movie_id = movie_id
  276007    213239   │└DISTRIBUTE HASH ON movie_id, movie_id
  276007    213239    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'
  276007    629486    PROJECT movie_id, movie_id, info_type_id, info
  276007    629486    INNER JOIN HASH ON movie_id = movie_id
  276007   1337634    │└DISTRIBUTE HASH ON movie_id
  276007   1337634     FILTER info < '8.5'
 1380035   1380035     TABLE SCAN movie_info_idx WHERE (info < '8.5') AND (((info_type_id >= 101) AND (info_type_id <= 101)) AND info_type_id IN 101)
  620402    614251    DISTRIBUTE HASH ON movie_id
  620402    614251    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'
 2967144    614251    FILTER info IN('Sweden','Norway','Germany','Denmark','Swedish','Denish','Norwegian','German','USA','American')
14835720   1355825    TABLE SCAN movie_info WHERE (info IN('Sweden','Norway','Germany','Denmark','Swedish','Denish','Norwegian','German','USA','American') AND (((info_type_id >= 8) AND (info_type_id <= 8)) AND info_type_id IN 8)) AND CASE MOD(HASH_REPARTITION movie_id,10) WHEN 0 THEN (((movie_id >= 67) AND (movie_id <= 2525666)) AND TRUE) WHEN 1 THEN (((movie_id >= 63) AND (movie_id <= 2525670)) AND TRUE) WHEN 2 THEN (((movie_id >= 24) AND (movie_id <= 2525791)) AND TRUE) WHEN 3 THEN ((...
 4523930   4523930   DISTRIBUTE HASH ON movie_id, movie_id
 4523930   4523930   TABLE SCAN movie_keyword WHERE CASE MOD(HASH_REPARTITION(movie_id,movie_id),10) WHEN 1 THEN ((((movie_id >= 57) AND (movie_id <= 2525790)) AND ((movie_id >= 57) AND (movie_id <= 2525790))) AND TRUE) WHEN 3 THEN ((((movie_id >= 51) AND (movie_id <= 2525784)) AND ((movie_id >= 51) AND (movie_id <= 2525784))) AND TRUE) WHEN 5 THEN ((((movie_id >= 52) AND (movie_id <= 2525792)) AND ((movie_id >= 52) AND (movie_id <= 2525792))) AND TRUE) WHEN 7 THEN ((((movie_id >= 24) AND ...
  162535    187709  FILTER production_year > 2010
 2528312   1297449  TABLE SCAN title WHERE ((production_year > 2010) AND (((((id >= 581) AND (id <= 2525471)) AND ((id >= 581) AND (id <= 2525471))) AND ((id >= 581) AND (id <= 2525471))) AND TRUE)) AND (((kind_id >= 1) AND (kind_id <= 1)) AND kind_id IN 1)
Native storage
Estimate    Actual  Operator
       1         1  AGGREGATE MIN(mi_idx.info), MIN(t.title)
       1         1  DISTRIBUTE GATHER
       1         1  AGGREGATE MIN(mi_idx.info), MIN(t.title)
     579       761  INNER JOIN HASH ON mi.movie_id = mk.movie_id
     579     37091  │└DISTRIBUTE GATHER
     579     37091   INNER JOIN HASH ON mk.keyword_id = k.id
     579         3   │└DISTRIBUTE GATHER
       7         3    TABLE SCAN keyword WHERE k.keyword IN('murder','murder-in-title','blood','violence')
 4520000   4519843   TABLE SCAN movie_keyword
     579      8746  INNER JOIN HASH ON mi_idx.info_type_id = it2.id
     579         1  │└DISTRIBUTE GATHER
 2530000         1   TABLE SCAN info_type WHERE it2.info = 'rating'
     579     25839  INNER JOIN HASH ON mi.movie_id = mi_idx.movie_id
     579     55882  │└DISTRIBUTE GATHER
     186     55882   INNER JOIN HASH ON t.kind_id = kt.id
     186         1   │└DISTRIBUTE GATHER
 1380000         1    TABLE SCAN kind_type WHERE kt.kind = 'movie'
     186     89788   INNER JOIN HASH ON mi.movie_id = t.id
     186    614251   │└DISTRIBUTE GATHER
     176    614251    INNER JOIN HASH ON it1.id = mi.info_type_id
     176         1    │└DISTRIBUTE GATHER
     113         1     TABLE SCAN info_type WHERE it1.info = 'countries'
14800000    626978    TABLE SCAN movie_info WHERE mi.info IN('Sweden','Norway','Germany','Denmark','Swedish','Denish','Norwegian','German','USA','American')
     113    375531   TABLE SCAN title WHERE (t.production_year IS NOT NULL) AND (t.production_year > 2010L)
  134000    815170  TABLE SCAN movie_info_idx WHERE mi_idx.info < '8.5'
Native storage
Estimate    Actual  Operator
       1         1  AGGREGATE MIN(info as info) AS Expr1016, MIN(title as title) AS Expr1017
       1       761  FILTER info as info = 'rating'
       1      2255  INNER JOIN LOOP ON Bmk1002 = Bmk1002
       1      2255  │└TABLE SEEK info_type AS it2
       1      2255  INNER JOIN LOOP ON mi_idx.info_type_id = it2.id
       1      2255  │└TABLE SEEK info_type AS it2
       1      2255  INNER JOIN LOOP ON t.id = mi_idx.movie_id
       2      2255  │└TABLE SEEK movie_info_idx AS mi_idx WHERE info as info < '8.5'
       1      1281  FILTER kind as kind = 'movie'
       2      1614  INNER JOIN LOOP ON Bmk1006 = Bmk1006
       1      1614  │└TABLE SEEK kind_type AS kt
       2      1614  INNER JOIN LOOP ON t.kind_id = kt.id
       1      1614  │└TABLE SEEK kind_type AS kt
       2      1614  INNER JOIN LOOP ON Bmk1014 = Bmk1014
       0      1614  │└TABLE SEEK title AS t WHERE production_year as production_year > 2010
      13     23916  PROJECT BmkToPage Bmk1014 AS Expr1243
      13     23916  INNER JOIN LOOP ON mk.movie_id = t.id
       1     23916  │└TABLE SEEK title AS t
      13     23916  FILTER info as info = 'American' OR 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' OR info as info = 'USA'
     308     44297  INNER JOIN LOOP ON mi.movie_id = mi.movie_id AND Uniq1009 = Uniq1009
       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 m30
       1         1   TABLE SCAN info_type AS it1 WHERE info as info = 'countries'
     362     37091  INNER JOIN LOOP ON Bmk1012 = Bmk1012
       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'
Apache Iceberg
Estimate    Actual  Operator
       1         ∞  PROJECT min AS rating, min_36 AS northern_dark_movie
       1         1  AGGREGATE MIN(min_37) AS min, MIN(min_38) AS min_36
       -        16  DISTRIBUTE GATHER
       -        16  AGGREGATE MIN(info_21) AS min_37, MIN(title) AS min_38
       -       761  INNER JOIN HASH ON kind_id = id_9
       7         1  │└DISTRIBUTE GATHER
       7         1   PROJECT id AS id_9
       7         1   FILTER kind = 'movie'
       7         1   TABLE SCAN kind_type
       -       777  INNER JOIN HASH ON movie_id = id_31
  159036    100553  │└DISTRIBUTE HASH ON id_31
  159036    100553   PROJECT id AS id_31, title, kind_id
  159036    100553   FILTER production_year > 2010
  159036    100553   TABLE SCAN title
       -       777  INNER JOIN HASH ON keyword_id = id_5
  134170         3  │└DISTRIBUTE GATHER
  134170         3   PROJECT id AS id_5
  134170         3   FILTER keyword IN('blood','murder','murder-in-title','violence')
  134170         3   TABLE SCAN keyword
       -       777  INNER JOIN HASH ON movie_id = movie_id_27
 4523930      1987  │└DISTRIBUTE HASH ON movie_id_27
 4523930      1987   PROJECT movie_id AS movie_id_27, keyword_id
 4523930      1987   TABLE SCAN movie_keyword
       -       534  INNER JOIN HASH ON info_type_id_20 = id_0
     113         1  │└DISTRIBUTE GATHER
     113         1   PROJECT id AS id_0
     113         1   FILTER info = 'rating'
     113         1   TABLE SCAN info_type
       -       534  INNER JOIN HASH ON movie_id = movie_id_19
 1380035       820  │└DISTRIBUTE HASH ON movie_id_19
 1380035       820   PROJECT movie_id AS movie_id_19, info_type_id AS info_type_id_20, info AS info_21
 1380035       820   FILTER info < '8.5'
 1380035       820   TABLE SCAN movie_info_idx
       -       534  INNER JOIN HASH ON info_type_id = id
     113         1  │└DISTRIBUTE GATHER
     113         1   FILTER info = 'countries'
     113         1   TABLE SCAN info_type
13352148       534  FILTER info IN('American','Denish','Denmark','German','Germany','Norway','Norwegian','Sweden','Swedish','USA')
13352148       534  TABLE SCAN movie_info
Native storage
Estimate    Actual  Operator
       1         1  AGGREGATE MIN(info), MIN(title)
       1       761  INNER JOIN LOOP ON id = info_type_id
       1       878  │└INNER JOIN LOOP ON movie_id = movie_id AND movie_id = id AND (movie_id = id)
       1      1147   │└INNER JOIN LOOP ON id = info_type_id
       9      3403    │└INNER JOIN LOOP ON movie_id = movie_id AND movie_id = id AND (movie_id = id)
       3      1966     │└INNER JOIN LOOP ON keyword IN('murder','murder-in-title','blood','violence') AND id = kind_id AND (id = kind_id)
       1         1      │└TABLE SCAN kind_type AS kt WHERE kt.kind = 'movie'
      21      2582      INNER JOIN LOOP ON 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 title AS t WHERE t.production_year > 2010
    5898      3401     TABLE SEEK movie_info_idx AS mi_idx WHERE mi_idx.info < '8.5'
       4         4    TABLE SEEK info_type AS it2 WHERE it2.info = 'rating'
    2294      1147   TABLE SEEK movie_info AS mi WHERE mi.info IN('Sweden','Norway','Germany','Denmark','Swedish','Denish','Norwegian','German','USA','American')
     878       878  TABLE SEEK info_type AS it1 WHERE it1.info = 'countries'