PlannerIMDB — JOB-13D

SELECT MIN(cn.name) AS producing_company,
       MIN(miidx.info) AS rating,
       MIN(t.title) AS movie
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 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
Native storage
Estimation Error
Est Err
21,438,043
21M
Rank
Estimation Error
Est Err
43,656,929
44M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
20,991,626
21M
Rank
Estimation Error
Est Err
670,390
670K
Rank
Estimation Error
Est Err
0
Rank
Native storage
Estimation Error
Est Err
21,353,200
21M
Rank
Estimation Error
Est Err
19,827,664
20M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
11,348,840
11M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
0
Rank
Native storage
Estimation Error
Est Err
7,294,671
7.3M
Rank
Estimation Error
Est Err
17,257,962
17M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
12,674,305
13M
Rank
Estimation Error
Est Err
670,391
670K
Rank
Estimation Error
Est Err
3,791,372
3.8M
Rank
Apache Iceberg
Estimation Error
Est Err
7,501,618
7.5M
Rank
Estimation Error
Est Err
15,101,172
15M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
9,907,777
9.9M
Rank
Estimation Error
Est Err
670,400
670K
Rank
Estimation Error
Est Err
8,934,907
8.9M
Rank
Native storage
Estimation Error
Est Err
2,379,706
2.4M
Rank
Estimation Error
Est Err
3,936,439
3.9M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
3,582,165
3.6M
Rank
Estimation Error
Est Err
670,390
670K
Rank
Estimation Error
Est Err
0
Rank
Native storage
Estimation Error
Est Err
7,231,575
7.2M
Rank
Estimation Error
Est Err
5,851,538
5.9M
Rank
Estimation Error
Est Err
12,781,885
13M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
6,198,064
6.2M
Rank
Estimation Error
Est Err
223,466
223K
Rank
Estimation Error
Est Err
0
Rank
Native storage
Estimation Error
Est Err
3,841,944
3.8M
Rank
Estimation Error
Est Err
3,291,977
3.3M
Rank
Estimation Error
Est Err
8,197,001
8.2M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
10,563,330
11M
Rank
Estimation Error
Est Err
670,400
670K
Rank
Estimation Error
Est Err
0
Rank
Apache Iceberg
Estimation Error
Est Err
5,686,928
5.7M
Rank
Estimation Error
Est Err
8,127,390
8.1M
Rank
Estimation Error
Est Err
0
0
Rank
Estimation Error
Est Err
9,833,586
9.8M
Rank
Estimation Error
Est Err
670,406
670K
Rank
Estimation Error
Est Err
5,611,649
5.6M
Rank

Actual Query Plans

Query Plan per Engine ?
Query Plan
Native storage
Estimate    Actual  Operator
       1         1  AGGREGATE min, min, min
  121829    670390  INNER JOIN HASH ON id = company_type_id
       1         1  │└TABLE SCAN company_type WHERE kind = production companies
  259200   2131169  INNER JOIN HASH ON id6 = company_id
   90648     84843  │└TABLE SCAN company_name WHERE country_code = us
  706200   8123586  INNER JOIN HASH ON movie_id63 = id39
   61930    724731  │└INNER JOIN HASH ON id16 = info_type_id56
       1         1   │└TABLE SCAN info_type WHERE info = rating
  286839   2184715   INNER JOIN HASH ON movie_id55 = id39
   38656   1083597   │└INNER JOIN HASH ON id21 = kind_id
       1         1    │└TABLE SCAN kind_type WHERE kind = movie
  153502   3036719    INNER JOIN HASH ON movie_id = id39
  131290   3036719    │└INNER JOIN HASH ON id26 = info_type_id
       1         1     │└TABLE SCAN info_type WHERE info = release dates
14835720  14835720     TABLE SCAN movie_info
 2528312   2528312    TABLE SCAN title
 1380035   1380035   TABLE SCAN movie_info_idx
 2609129   2609129  TABLE SCAN movie_companies
Native storage
Estimate    Actual  Operator
       -         1  PROJECT a1 AS producing_company, a2 AS rating, a3 AS movie
       -         1  AGGREGATE MIN(name) AS a1, MIN(info) AS a2, MIN(title) AS a3
       -         0  PROJECT name, info, title
       -         0  PROJECT name, info, title
       -         0  INNER JOIN HASH ON tuple(PROJECTION_643.movie_id,PROJECTION_643.movie_id,PROJECTION_643.movie_id,PROJECTION_643.movie_id) = tuple(PROJECTION_622.movie_id,PROJECTION_622.movie_id,PROJECTION_622.id,PROJECTION_622.id)
       -   1083597  │└PROJECT movie_id AS movie_id_right, id, title
       -   1083597   PROJECT movie_id, title, id
       -   1083597   INNER JOIN HASH ON PROJECTION_634.id = PROJECTION_625.movie_id
       -   3036719   │└PROJECT movie_id
       -   3036719    PROJECT movie_id
       -   3036719    INNER JOIN HASH ON PROJECTION_631.info_type_id = PROJECTION_628.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
       -    662825   PROJECT id, title
       -    662825   PROJECT title, id
       -    662825   INNER JOIN HASH ON PROJECTION_640.kind_id = PROJECTION_637.id
       -         1   │└PROJECT id AS id_right
       -         1    PROJECT id
       -         1    TABLE SCAN kind_type WHERE kind = 'movie'
       -   2528312   PROJECT kind_id, title, id AS id_left
       -   2528312   PROJECT title, id, kind_id
       -   2528312   TABLE SCAN title
       -         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_655.movie_id = PROJECTION_646.movie_id
       -    459925  │└PROJECT movie_id AS movie_id_right, info
       -    459925   PROJECT info, movie_id
       -    459925   INNER JOIN HASH ON PROJECTION_652.info_type_id = PROJECTION_649.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_661.company_type_id = PROJECTION_658.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_667.id = PROJECTION_664.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'
Native storage
Estimate    Actual  Operator
       -         1  AGGREGATE MIN(#0), MIN(#1), MIN(#2)
       0    670390  PROJECT name, info, title
       0    670390  INNER JOIN HASH ON info_type_id = id
       2         1  │└FILTER id <= 110
       2         1   TABLE SCAN info_type WHERE info = 'release dates'
      38    670390  INNER JOIN HASH ON movie_id = movie_id
       6     87293  │└INNER JOIN HASH ON kind_id = id
       1         1   │└TABLE SCAN kind_type WHERE kind = 'movie'
      45     87293   INNER JOIN HASH ON id = movie_id
      44    248554   │└INNER JOIN HASH ON info_type_id = id
       2         1    │└FILTER id >= 99
       2         1     TABLE SCAN info_type WHERE info = 'rating'
    2535    248554    INNER JOIN HASH ON movie_id = movie_id
    4563    552328    │└INNER JOIN HASH ON company_type_id = id
       1         1     │└FILTER id <= 2
       1         1      TABLE SCAN company_type WHERE kind = 'production companies'
   18253    552328     INNER JOIN HASH ON company_id = id
    1644     84843     │└TABLE SCAN company_name WHERE country_code = 'us'
 2609129   1334883     TABLE SCAN movie_companies
 1380035    187351    TABLE SCAN movie_info_idx WHERE movie_id <= 2525745
 2528312     65481   TABLE SCAN title WHERE id >= 2 AND id <= 2525745
14835720    707144  TABLE SCAN movie_info WHERE movie_id >= 2 AND movie_id <= 2525745
Apache Iceberg
Estimate    Actual  Operator
       1         1  PROJECT producing_company, rating, movie
       1         1  AGGREGATE MIN(name), MIN(info), MIN(title)
   91531        10  DISTRIBUTE GATHER
   91531        10  AGGREGATE MIN(name), MIN(info), MIN(title)
   91531    670390  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    815022  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...
 2528312   1297449  DISTRIBUTE HASH ON id, id, id
 2528312   1297449  TABLE SCAN title WHERE 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 (id <= 2523357))) AND ((id >= 24) AND (id <= 2523357))) AND TRUE) WHEN 3 TH...
Native storage
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    670390  INNER JOIN HASH ON mc.movie_id = miidx.movie_id
   39600    209880  │└DISTRIBUTE GATHER
  519000    209880   INNER JOIN HASH ON t.kind_id = kt.id
  519000         1   │└DISTRIBUTE GATHER
 2610000         1    TABLE SCAN kind_type WHERE kt.kind = 'movie'
  519000    303005   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   1116156   TABLE SCAN title
   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
Native storage
Estimate    Actual  Operator
       1         1  AGGREGATE MIN(partialagg1070) AS Expr1018, MIN(partialagg1071) AS Expr1019, MIN(partialagg1072) AS Expr1020
       5        10  AGGREGATE MIN(name as name) AS partialagg1070, MIN(info as info) AS partialagg1071, MIN(title as title) AS partialagg1072
   28118    670390  INNER JOIN HASH ON mc.company_type_id = ct.id
       1         1  │└FILTER kind as kind = 'production companies'
       4         4   INNER JOIN LOOP ON Bmk1002 = Bmk1002
       1         4   │└TABLE SEEK company_type AS ct
       4         4   TABLE SEEK company_type AS ct
   56236    670390  INNER JOIN HASH ON miidx.info_type_id = it.id
       1         1  │└FILTER info as info = 'rating'
     113       113   TABLE SCAN info_type AS it
   28118    670390  INNER JOIN HASH ON t.kind_id = kt.id
       1         1  │└FILTER kind as kind = 'movie'
       7         7   TABLE SCAN kind_type AS kt
   16870    670390  INNER JOIN HASH ON mc.company_id = cn.id
   84576     84843  │└TABLE SCAN company_name AS cn WHERE country_code as country_code = 'us'
   46910    670390  INNER JOIN HASH ON mc.movie_id = t.id
    4732    724731  │└INNER JOIN HASH ON miidx.movie_id = t.id
   21193   1083597   │└INNER JOIN HASH ON t.id = mi.movie_id
  211939   3036719    │└INNER JOIN HASH ON mi.info_type_id = it2.id
       1         1     │└FILTER info as info = 'release dates'
     113       113      TABLE SCAN info_type AS it2
  211939   3036719     TABLE SEEK movie_info AS mi
  252831    464891    TABLE SCAN title AS t WHERE BLOOM(id as id) AND BLOOM(kind_id as kind_id)
    1380    174349   TABLE SEEK movie_info_idx AS miidx WHERE BLOOM(movie_id as movie_id) AND BLOOM(info_type_id as info_type_id)
   26091     80901  TABLE SEEK movie_companies AS mc WHERE BLOOM(company_type_id as company_type_id) AND BLOOM(company_id as company_id) AND BLOOM(movie_id as movie_id)
Apache Iceberg
Estimate    Actual  Operator
       1         ∞  PROJECT min AS producing_company, min_43 AS rating, min_44 AS movie
       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
       -    670390  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
       -    675468  INNER JOIN HASH ON movie_id = id_37
 2528312    679504  │└DISTRIBUTE HASH ON id_37
 2528312    679504   PROJECT id AS id_37, title, kind_id
 2528312    679504   TABLE SCAN title
       -   1051802  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
       -   1051802  INNER JOIN HASH ON movie_id = movie_id_30
 1380035    459925  │└DISTRIBUTE HASH ON movie_id_30
 1380035    459925   PROJECT movie_id AS movie_id_30, info_type_id AS info_type_id_31, info AS info_32
 1380035    459925   TABLE SCAN movie_info_idx
       -   1355560  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
       -   1444051  INNER JOIN HASH ON movie_id = movie_id_23
14835720   3137317  │└DISTRIBUTE HASH ON movie_id_23
14835720   3137317   PROJECT movie_id AS movie_id_23, info_type_id
14835720   3137317   TABLE SCAN movie_info
       -    552328  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
       -    552328  INNER JOIN HASH ON id = company_id
 2609129   1334883  │└DISTRIBUTE HASH ON company_id
 2609129   1334883   TABLE SCAN movie_companies
  211497     75295  FILTER country_code = 'us'
  211497     75295  TABLE SCAN company_name
Native storage
Estimate    Actual  Operator
       1         1  AGGREGATE MIN(name), MIN(info), MIN(title)
       3         3  AGGREGATE PARTIAL MIN(name), PARTIAL MIN(info), PARTIAL MIN(title)
      94    223463  INNER JOIN HASH ON info_type_id = id
       3         3  │└TABLE SEEK info_type AS it2
   31719   4316583  INNER JOIN LOOP ON movie_id = id
    1014     87293  │└INNER JOIN LOOP ON id = company_id
     925    100870   │└INNER JOIN HASH ON company_type_id = id
       1         1    │└TABLE SCAN company_type AS ct WHERE ct.kind = 'production companies'
   11100    773084    INNER JOIN LOOP ON movie_id = id
     727     69960    │└INNER JOIN HASH ON kind_id = id
       1         1     │└TABLE SCAN kind_type AS kt WHERE kt.kind = 'movie'
   15267    459924     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
 1049400    772358    TABLE SEEK movie_companies AS mc
  302610    302610   TABLE SEEK company_name AS cn WHERE cn.country_code = 'us'
 3491720   4316638  TABLE SEEK movie_info AS mi