+---------+-------------+------------------------+--------------------------+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| ID | #PLAN SPACE | DEFAULT EXECUTION TIME | BEST PLAN EXECUTION TIME | EFFECTIVENESS | BETTER OPTIMAL PLANS | ESTROW Q-ERROR | QUERY |
+---------+-------------+------------------------+--------------------------+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| 20a.sql | 79 | 2268.8ms ± 9% | 1955.2ms ± 3% | 98.7% | #47(86.2%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(t.title) AS complete_downey_ironman_movie FROM (((((((((complete_cast AS cc) JOIN comp_cast_type AS cct1) JOIN comp_cast_type AS cct2) JOIN char_name AS chn) JOIN cast_info AS ci) JOIN keyword AS k) JOIN kind_type AS kt) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE cct1.kind="cast" AND cct2.kind LIKE "%complete%" AND chn.name NOT LIKE "%Sherlock%" AND (chn.name LIKE "%Tony%Stark%" OR chn.name LIKE "%Iron%Man%") AND k.keyword IN ("superhero","sequel","second-part","marvel-comics","based-on-comic","tv-special","fight","violence") AND kt.kind="movie" AND t.production_year>1950 AND kt.id=t.kind_id AND t.id=mk.movie_id AND t.id=ci.movie_id AND t.id=cc.movie_id AND mk.movie_id=ci.movie_id AND mk.movie_id=cc.movie_id AND ci.movie_id=cc.movie_id AND chn.id=ci.person_role_id AND n.id=ci.person_id AND k.id=mk.keyword_id AND cct1.id=cc.subject_id AND cct2.id=cc.status_id |
| 20b.sql | 72 | 941.0ms ±13% | 941.0ms ±13% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(t.title) AS complete_downey_ironman_movie FROM (((((((((complete_cast AS cc) JOIN comp_cast_type AS cct1) JOIN comp_cast_type AS cct2) JOIN char_name AS chn) JOIN cast_info AS ci) JOIN keyword AS k) JOIN kind_type AS kt) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE cct1.kind="cast" AND cct2.kind LIKE "%complete%" AND chn.name NOT LIKE "%Sherlock%" AND (chn.name LIKE "%Tony%Stark%" OR chn.name LIKE "%Iron%Man%") AND k.keyword IN ("superhero","sequel","second-part","marvel-comics","based-on-comic","tv-special","fight","violence") AND kt.kind="movie" AND n.name LIKE "%Downey%Robert%" AND t.production_year>2000 AND kt.id=t.kind_id AND t.id=mk.movie_id AND t.id=ci.movie_id AND t.id=cc.movie_id AND mk.movie_id=ci.movie_id AND mk.movie_id=cc.movie_id AND ci.movie_id=cc.movie_id AND chn.id=ci.person_role_id AND n.id=ci.person_id AND k.id=mk.keyword_id AND cct1.id=cc.subject_id AND cct2.id=cc.status_id |
| 20c.sql | 77 | 905.2ms ± 7% | 905.2ms ± 7% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(n.name) AS cast_member,MIN(t.title) AS complete_dynamic_hero_movie FROM (((((((((complete_cast AS cc) JOIN comp_cast_type AS cct1) JOIN comp_cast_type AS cct2) JOIN char_name AS chn) JOIN cast_info AS ci) JOIN keyword AS k) JOIN kind_type AS kt) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE cct1.kind="cast" AND cct2.kind LIKE "%complete%" AND chn.name IS NOT NULL AND (chn.name LIKE "%man%" OR chn.name LIKE "%Man%") AND k.keyword IN ("superhero","marvel-comics","based-on-comic","tv-special","fight","violence","magnet","web","claw","laser") AND kt.kind="movie" AND t.production_year>2000 AND kt.id=t.kind_id AND t.id=mk.movie_id AND t.id=ci.movie_id AND t.id=cc.movie_id AND mk.movie_id=ci.movie_id AND mk.movie_id=cc.movie_id AND ci.movie_id=cc.movie_id AND chn.id=ci.person_role_id AND n.id=ci.person_id AND k.id=mk.keyword_id AND cct1.id=cc.subject_id AND cct2.id=cc.status_id |
| 21a.sql | 84 | 1964.5ms ±10% | 1574.5ms ± 3% | 85.7% | #57(80.1%),#59(81.5%),#63(80.6%),#64(81.3%),#65(81.2%),#66(83.4%),#67(83.3%),#68(84.3%),#69(83.4%),#70(84.5%),#71(82.6%),#72(80.9%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(cn.name) AS company_name,MIN(lt.link) AS link_type,MIN(t.title) AS western_follow_up FROM ((((((((company_name AS cn) JOIN company_type AS ct) JOIN keyword AS k) JOIN link_type AS lt) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN movie_link AS ml) JOIN 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 |
| 21b.sql | 84 | 1920.8ms ± 6% | 1497.5ms ± 8% | 85.7% | #57(83.0%),#59(80.2%),#60(80.3%),#63(82.1%),#64(82.8%),#65(78.0%),#66(83.1%),#67(81.4%),#68(82.2%),#70(82.7%),#71(80.9%),#72(82.4%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(cn.name) AS company_name,MIN(lt.link) AS link_type,MIN(t.title) AS german_follow_up FROM ((((((((company_name AS cn) JOIN company_type AS ct) JOIN keyword AS k) JOIN link_type AS lt) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN movie_link AS ml) JOIN 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 ("Germany","German") AND t.production_year BETWEEN 2000 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 |
| 21c.sql | 82 | 3044.8ms ± 4% | 2723.8ms ± 7% | 97.6% | #67(90.0%),#69(89.5%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(cn.name) AS company_name,MIN(lt.link) AS link_type,MIN(t.title) AS western_follow_up FROM ((((((((company_name AS cn) JOIN company_type AS ct) JOIN keyword AS k) JOIN link_type AS lt) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN movie_link AS ml) JOIN 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 |
| 23a.sql | 100 | 2407.2ms ± 2% | 1702.0ms ± 3% | 95.0% | #45(70.8%),#46(70.7%),#47(71.3%),#48(80.2%),#49(84.5%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(kt.kind) AS movie_kind,MIN(t.title) AS complete_us_internet_movie FROM ((((((((((complete_cast AS cc) JOIN comp_cast_type AS cct1) JOIN company_name AS cn) JOIN company_type AS ct) JOIN info_type AS it1) JOIN keyword AS k) JOIN kind_type AS kt) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN title AS t WHERE cct1.kind="complete+verified" AND cn.country_code="[us]" AND it1.info="release dates" AND kt.kind IN ("movie") AND mi.note LIKE "%internet%" AND mi.info IS NOT NULL AND (mi.info LIKE "USA:% 199%" OR mi.info LIKE "USA:% 200%") AND t.production_year>2000 AND kt.id=t.kind_id AND t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mc.movie_id AND t.id=cc.movie_id AND mk.movie_id=mi.movie_id AND mk.movie_id=mc.movie_id AND mk.movie_id=cc.movie_id AND mi.movie_id=mc.movie_id AND mi.movie_id=cc.movie_id AND mc.movie_id=cc.movie_id AND k.id=mk.keyword_id AND it1.id=mi.info_type_id AND cn.id=mc.company_id AND ct.id=mc.company_type_id AND cct1.id=cc.status_id |
| 23b.sql | 100 | 2399.0ms ± 4% | 1702.5ms ± 5% | 96.0% | #45(71.3%),#46(71.0%),#47(72.0%),#48(80.5%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(kt.kind) AS movie_kind,MIN(t.title) AS complete_nerdy_internet_movie FROM ((((((((((complete_cast AS cc) JOIN comp_cast_type AS cct1) JOIN company_name AS cn) JOIN company_type AS ct) JOIN info_type AS it1) JOIN keyword AS k) JOIN kind_type AS kt) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN title AS t WHERE cct1.kind="complete+verified" AND cn.country_code="[us]" AND it1.info="release dates" AND k.keyword IN ("nerd","loner","alienation","dignity") AND kt.kind IN ("movie") AND mi.note LIKE "%internet%" AND mi.info LIKE "USA:% 200%" AND t.production_year>2000 AND kt.id=t.kind_id AND t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mc.movie_id AND t.id=cc.movie_id AND mk.movie_id=mi.movie_id AND mk.movie_id=mc.movie_id AND mk.movie_id=cc.movie_id AND mi.movie_id=mc.movie_id AND mi.movie_id=cc.movie_id AND mc.movie_id=cc.movie_id AND k.id=mk.keyword_id AND it1.id=mi.info_type_id AND cn.id=mc.company_id AND ct.id=mc.company_type_id AND cct1.id=cc.status_id |
| 23c.sql | 100 | 2377.8ms ± 2% | 1717.0ms ± 5% | 96.0% | #45(73.5%),#46(73.0%),#47(72.2%),#48(80.0%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(kt.kind) AS movie_kind,MIN(t.title) AS complete_us_internet_movie FROM ((((((((((complete_cast AS cc) JOIN comp_cast_type AS cct1) JOIN company_name AS cn) JOIN company_type AS ct) JOIN info_type AS it1) JOIN keyword AS k) JOIN kind_type AS kt) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN title AS t WHERE cct1.kind="complete+verified" AND cn.country_code="[us]" AND it1.info="release dates" AND kt.kind IN ("movie","tv movie","video movie","video game") AND mi.note LIKE "%internet%" AND mi.info IS NOT NULL AND (mi.info LIKE "USA:% 199%" OR mi.info LIKE "USA:% 200%") AND t.production_year>1990 AND kt.id=t.kind_id AND t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mc.movie_id AND t.id=cc.movie_id AND mk.movie_id=mi.movie_id AND mk.movie_id=mc.movie_id AND mk.movie_id=cc.movie_id AND mi.movie_id=mc.movie_id AND mi.movie_id=cc.movie_id AND mc.movie_id=cc.movie_id AND k.id=mk.keyword_id AND it1.id=mi.info_type_id AND cn.id=mc.company_id AND ct.id=mc.company_type_id AND cct1.id=cc.status_id |
| 24a.sql | 100 | 7535.0ms ± 4% | 6477.2ms ± 6% | 80.0% | #59(88.8%),#60(89.0%),#61(87.5%),#62(87.2%),#63(86.8%),#64(87.2%),#65(87.7%),#66(86.0%),#68(88.0%),#69(87.8%),#70(87.3%),#71(87.2%),#72(87.5%),#73(88.8%),#74(88.4%),#75(88.1%),#79(87.2%),#80(88.0%),#83(88.9%),#84(89.0%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(chn.name) AS voiced_char_name,MIN(n.name) AS voicing_actress_name,MIN(t.title) AS voiced_action_movie_jap_eng FROM (((((((((((aka_name AS an) JOIN char_name AS chn) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN info_type AS it) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN name AS n) JOIN role_type AS rt) JOIN title AS t WHERE ci.note IN ("(voice)","(voice: Japanese version)","(voice) (uncredited)","(voice: English version)") AND cn.country_code="[us]" AND it.info="release dates" AND k.keyword IN ("hero","martial-arts","hand-to-hand-combat") AND mi.info IS NOT NULL AND (mi.info LIKE "Japan:%201%" OR mi.info LIKE "USA:%201%") AND n.gender="f" AND n.name LIKE "%An%" AND rt.role="actress" AND t.production_year>2010 AND t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND mc.movie_id=ci.movie_id AND mc.movie_id=mi.movie_id AND mc.movie_id=mk.movie_id AND mi.movie_id=ci.movie_id AND mi.movie_id=mk.movie_id AND ci.movie_id=mk.movie_id AND cn.id=mc.company_id AND it.id=mi.info_type_id AND n.id=ci.person_id AND rt.id=ci.role_id AND n.id=an.person_id AND ci.person_id=an.person_id AND chn.id=ci.person_role_id AND k.id=mk.keyword_id |
| 24b.sql | 100 | 39.5ms ±22% | 39.5ms ±22% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(chn.name) AS voiced_char_name,MIN(n.name) AS voicing_actress_name,MIN(t.title) AS kung_fu_panda FROM (((((((((((aka_name AS an) JOIN char_name AS chn) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN info_type AS it) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN name AS n) JOIN role_type AS rt) JOIN title AS t WHERE ci.note IN ("(voice)","(voice: Japanese version)","(voice) (uncredited)","(voice: English version)") AND cn.country_code="[us]" AND cn.name="DreamWorks Animation" AND it.info="release dates" AND k.keyword IN ("hero","martial-arts","hand-to-hand-combat","computer-animated-movie") AND mi.info IS NOT NULL AND (mi.info LIKE "Japan:%201%" OR mi.info LIKE "USA:%201%") AND n.gender="f" AND n.name LIKE "%An%" AND rt.role="actress" AND t.production_year>2010 AND t.title LIKE "Kung Fu Panda%" AND t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND mc.movie_id=ci.movie_id AND mc.movie_id=mi.movie_id AND mc.movie_id=mk.movie_id AND mi.movie_id=ci.movie_id AND mi.movie_id=mk.movie_id AND ci.movie_id=mk.movie_id AND cn.id=mc.company_id AND it.id=mi.info_type_id AND n.id=ci.person_id AND rt.id=ci.role_id AND n.id=an.person_id AND ci.person_id=an.person_id AND chn.id=ci.person_role_id AND k.id=mk.keyword_id |
| 27a.sql | 100 | 1915.0ms ±12% | 1410.8ms ± 8% | 93.0% | #94(74.4%),#95(77.4%),#96(73.9%),#97(75.1%),#98(74.5%),#99(73.7%),#100(76.8%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(cn.name) AS producing_company,MIN(lt.link) AS link_type,MIN(t.title) AS complete_western_sequel FROM (((((((((((complete_cast AS cc) JOIN comp_cast_type AS cct1) JOIN comp_cast_type AS cct2) JOIN company_name AS cn) JOIN company_type AS ct) JOIN keyword AS k) JOIN link_type AS lt) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN movie_link AS ml) JOIN title AS t WHERE cct1.kind IN ("cast","crew") AND cct2.kind="complete" AND 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","Germany","Swedish","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 t.id=cc.movie_id AND cct1.id=cc.subject_id AND cct2.id=cc.status_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 AND ml.movie_id=cc.movie_id AND mk.movie_id=cc.movie_id AND mc.movie_id=cc.movie_id AND mi.movie_id=cc.movie_id |
| 27b.sql | 100 | 1873.0ms ± 9% | 1278.8ms ± 7% | 95.0% | #95(80.9%),#96(79.1%),#98(80.4%),#99(80.1%),#100(68.3%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(cn.name) AS producing_company,MIN(lt.link) AS link_type,MIN(t.title) AS complete_western_sequel FROM (((((((((((complete_cast AS cc) JOIN comp_cast_type AS cct1) JOIN comp_cast_type AS cct2) JOIN company_name AS cn) JOIN company_type AS ct) JOIN keyword AS k) JOIN link_type AS lt) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN movie_link AS ml) JOIN title AS t WHERE cct1.kind IN ("cast","crew") AND cct2.kind="complete" AND 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","Germany","Swedish","German") AND t.production_year=1998 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 t.id=cc.movie_id AND cct1.id=cc.subject_id AND cct2.id=cc.status_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 AND ml.movie_id=cc.movie_id AND mk.movie_id=cc.movie_id AND mc.movie_id=cc.movie_id AND mi.movie_id=cc.movie_id |
| 27c.sql | 100 | 2687.8ms ± 3% | 2339.2ms ± 4% | 97.0% | #98(88.2%),#99(87.0%),#100(87.8%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(cn.name) AS producing_company,MIN(lt.link) AS link_type,MIN(t.title) AS complete_western_sequel FROM (((((((((((complete_cast AS cc) JOIN comp_cast_type AS cct1) JOIN comp_cast_type AS cct2) JOIN company_name AS cn) JOIN company_type AS ct) JOIN keyword AS k) JOIN link_type AS lt) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN movie_link AS ml) JOIN title AS t WHERE cct1.kind="cast" AND cct2.kind LIKE "complete%" AND 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 t.id=cc.movie_id AND cct1.id=cc.subject_id AND cct2.id=cc.status_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 AND ml.movie_id=cc.movie_id AND mk.movie_id=cc.movie_id AND mc.movie_id=cc.movie_id AND mi.movie_id=cc.movie_id |
| 29a.sql | 100 | 217.0ms ±35% | 217.0ms ±35% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(chn.name) AS voiced_char,MIN(n.name) AS voicing_actress,MIN(t.title) AS voiced_animation FROM ((((((((((((((((aka_name AS an) JOIN complete_cast AS cc) JOIN comp_cast_type AS cct1) JOIN comp_cast_type AS cct2) JOIN char_name AS chn) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN info_type AS it) JOIN info_type AS it3) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN name AS n) JOIN person_info AS pi) JOIN role_type AS rt) JOIN title AS t WHERE cct1.kind="cast" AND cct2.kind="complete+verified" AND chn.name="Queen" AND ci.note IN ("(voice)","(voice) (uncredited)","(voice: English version)") AND cn.country_code="[us]" AND it.info="release dates" AND it3.info="trivia" AND k.keyword="computer-animation" AND mi.info IS NOT NULL AND (mi.info LIKE "Japan:%200%" OR mi.info LIKE "USA:%200%") AND n.gender="f" AND n.name LIKE "%An%" AND rt.role="actress" AND t.title="Shrek 2" AND t.production_year BETWEEN 2000 AND 2010 AND t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND t.id=cc.movie_id AND mc.movie_id=ci.movie_id AND mc.movie_id=mi.movie_id AND mc.movie_id=mk.movie_id AND mc.movie_id=cc.movie_id AND mi.movie_id=ci.movie_id AND mi.movie_id=mk.movie_id AND mi.movie_id=cc.movie_id AND ci.movie_id=mk.movie_id AND ci.movie_id=cc.movie_id AND mk.movie_id=cc.movie_id AND cn.id=mc.company_id AND it.id=mi.info_type_id AND n.id=ci.person_id AND rt.id=ci.role_id AND n.id=an.person_id AND ci.person_id=an.person_id AND chn.id=ci.person_role_id AND n.id=pi.person_id AND ci.person_id=pi.person_id AND it3.id=pi.info_type_id AND k.id=mk.keyword_id AND cct1.id=cc.subject_id AND cct2.id=cc.status_id |
| 29b.sql | 100 | 32.5ms ±33% | 32.5ms ±33% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(chn.name) AS voiced_char,MIN(n.name) AS voicing_actress,MIN(t.title) AS voiced_animation FROM ((((((((((((((((aka_name AS an) JOIN complete_cast AS cc) JOIN comp_cast_type AS cct1) JOIN comp_cast_type AS cct2) JOIN char_name AS chn) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN info_type AS it) JOIN info_type AS it3) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN name AS n) JOIN person_info AS pi) JOIN role_type AS rt) JOIN title AS t WHERE cct1.kind="cast" AND cct2.kind="complete+verified" AND chn.name="Queen" AND ci.note IN ("(voice)","(voice) (uncredited)","(voice: English version)") AND cn.country_code="[us]" AND it.info="release dates" AND it3.info="height" AND k.keyword="computer-animation" AND mi.info LIKE "USA:%200%" AND n.gender="f" AND n.name LIKE "%An%" AND rt.role="actress" AND t.title="Shrek 2" AND t.production_year BETWEEN 2000 AND 2005 AND t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND t.id=cc.movie_id AND mc.movie_id=ci.movie_id AND mc.movie_id=mi.movie_id AND mc.movie_id=mk.movie_id AND mc.movie_id=cc.movie_id AND mi.movie_id=ci.movie_id AND mi.movie_id=mk.movie_id AND mi.movie_id=cc.movie_id AND ci.movie_id=mk.movie_id AND ci.movie_id=cc.movie_id AND mk.movie_id=cc.movie_id AND cn.id=mc.company_id AND it.id=mi.info_type_id AND n.id=ci.person_id AND rt.id=ci.role_id AND n.id=an.person_id AND ci.person_id=an.person_id AND chn.id=ci.person_role_id AND n.id=pi.person_id AND ci.person_id=pi.person_id AND it3.id=pi.info_type_id AND k.id=mk.keyword_id AND cct1.id=cc.subject_id AND cct2.id=cc.status_id |
| 29c.sql | 100 | 7863.2ms ± 2% | 1792.0ms ± 7% | 59.0% | #16(55.5%),#17(52.4%),#18(53.7%),#19(53.0%),#20(51.9%),#33(58.4%),#34(59.3%),#35(59.3%),#36(57.4%),#37(56.0%),#38(56.7%),#57(70.1%),#58(70.4%),#59(68.0%),#60(68.0%),#61(67.7%),#73(44.4%),#74(48.7%),#78(33.3%),#79(24.6%),#80(24.6%),#81(24.6%),#82(23.7%),#83(23.6%),#84(23.8%),#85(23.4%),#86(23.8%),#87(25.2%),#88(24.1%),#89(23.6%),#90(23.9%),#91(23.2%),#92(22.8%),#93(23.7%),#94(22.9%),#95(23.7%),#96(23.7%),#97(22.8%),#98(22.8%),#99(32.2%),#100(42.7%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(chn.name) AS voiced_char,MIN(n.name) AS voicing_actress,MIN(t.title) AS voiced_animation FROM ((((((((((((((((aka_name AS an) JOIN complete_cast AS cc) JOIN comp_cast_type AS cct1) JOIN comp_cast_type AS cct2) JOIN char_name AS chn) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN info_type AS it) JOIN info_type AS it3) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN name AS n) JOIN person_info AS pi) JOIN role_type AS rt) JOIN title AS t WHERE cct1.kind="cast" AND cct2.kind="complete+verified" AND ci.note IN ("(voice)","(voice: Japanese version)","(voice) (uncredited)","(voice: English version)") AND cn.country_code="[us]" AND it.info="release dates" AND it3.info="trivia" AND k.keyword="computer-animation" AND mi.info IS NOT NULL AND (mi.info LIKE "Japan:%200%" OR mi.info LIKE "USA:%200%") AND n.gender="f" AND n.name LIKE "%An%" AND rt.role="actress" AND t.production_year BETWEEN 2000 AND 2010 AND t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND t.id=cc.movie_id AND mc.movie_id=ci.movie_id AND mc.movie_id=mi.movie_id AND mc.movie_id=mk.movie_id AND mc.movie_id=cc.movie_id AND mi.movie_id=ci.movie_id AND mi.movie_id=mk.movie_id AND mi.movie_id=cc.movie_id AND ci.movie_id=mk.movie_id AND ci.movie_id=cc.movie_id AND mk.movie_id=cc.movie_id AND cn.id=mc.company_id AND it.id=mi.info_type_id AND n.id=ci.person_id AND rt.id=ci.role_id AND n.id=an.person_id AND ci.person_id=an.person_id AND chn.id=ci.person_role_id AND n.id=pi.person_id AND ci.person_id=pi.person_id AND it3.id=pi.info_type_id AND k.id=mk.keyword_id AND cct1.id=cc.subject_id AND cct2.id=cc.status_id |
| 2a.sql | 33 | 925.5ms ±13% | 925.5ms ±13% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(t.title) AS movie_title FROM ((((company_name AS cn) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN 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 |
| 2b.sql | 33 | 793.0ms ± 8% | 793.0ms ± 8% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(t.title) AS movie_title FROM ((((company_name AS cn) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN title AS t WHERE cn.country_code="[nl]" 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 |
| 2c.sql | 33 | 6.5ms ±33% | 6.5ms ±33% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(t.title) AS movie_title FROM ((((company_name AS cn) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN title AS t WHERE cn.country_code="[sm]" 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 |
| 2d.sql | 33 | 917.2ms ±13% | 917.2ms ±13% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(t.title) AS movie_title FROM ((((company_name AS cn) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN title AS t WHERE cn.country_code="[us]" 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 |
+---------+-------------+------------------------+--------------------------+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+---------+-------------+------------------------+--------------------------+---------------+----------------------------------------------------------------------------------------+--------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| ID | #PLAN SPACE | DEFAULT EXECUTION TIME | BEST PLAN EXECUTION TIME | EFFECTIVENESS | BETTER OPTIMAL PLANS | ESTROW Q-ERROR | QUERY |
+---------+-------------+------------------------+--------------------------+---------------+----------------------------------------------------------------------------------------+--------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| 32a.sql | 31 | 2.0ms ± 0% | 2.0ms ± 0% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(lt.link) AS link_type,MIN(t1.title) AS first_movie,MIN(t2.title) AS second_movie FROM (((((keyword AS k) JOIN link_type AS lt) JOIN movie_keyword AS mk) JOIN movie_link AS ml) JOIN title AS t1) JOIN title AS t2 WHERE k.keyword="10,000-mile-club" AND mk.keyword_id=k.id AND t1.id=mk.movie_id AND ml.movie_id=t1.id AND ml.linked_movie_id=t2.id AND lt.id=ml.link_type_id AND mk.movie_id=t1.id |
| 32b.sql | 38 | 15754.2ms ± 5% | 15754.2ms ± 5% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(lt.link) AS link_type,MIN(t1.title) AS first_movie,MIN(t2.title) AS second_movie FROM (((((keyword AS k) JOIN link_type AS lt) JOIN movie_keyword AS mk) JOIN movie_link AS ml) JOIN title AS t1) JOIN title AS t2 WHERE k.keyword="character-name-in-title" AND mk.keyword_id=k.id AND t1.id=mk.movie_id AND ml.movie_id=t1.id AND ml.linked_movie_id=t2.id AND lt.id=ml.link_type_id AND mk.movie_id=t1.id |
| 3a.sql | 28 | 926.2ms ± 6% | 926.2ms ± 6% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(t.title) AS movie_title FROM (((keyword AS k) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN title AS t WHERE k.keyword LIKE "%sequel%" AND mi.info IN ("Sweden","Norway","Germany","Denmark","Swedish","Denish","Norwegian","German") AND t.production_year>2005 AND t.id=mi.movie_id AND t.id=mk.movie_id AND mk.movie_id=mi.movie_id AND k.id=mk.keyword_id |
| 3b.sql | 28 | 66.2ms ±18% | 66.2ms ±18% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(t.title) AS movie_title FROM (((keyword AS k) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN title AS t WHERE k.keyword LIKE "%sequel%" AND mi.info IN ("Bulgaria") AND t.production_year>2010 AND t.id=mi.movie_id AND t.id=mk.movie_id AND mk.movie_id=mi.movie_id AND k.id=mk.keyword_id |
| 3c.sql | 27 | 2133.2ms ± 4% | 428.2ms ± 3% | 70.4% | #9(20.3%),#10(20.1%),#11(20.3%),#15(63.3%),#16(42.6%),#17(41.7%),#18(43.2%),#21(52.7%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(t.title) AS movie_title FROM (((keyword AS k) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN title AS t WHERE k.keyword LIKE "%sequel%" AND mi.info IN ("Sweden","Norway","Germany","Denmark","Swedish","Denish","Norwegian","German","USA","American") AND t.production_year>1990 AND t.id=mi.movie_id AND t.id=mk.movie_id AND mk.movie_id=mi.movie_id AND k.id=mk.keyword_id |
+---------+-------------+------------------------+--------------------------+---------------+----------------------------------------------------------------------------------------+--------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
+---------+-------------+------------------------+--------------------------+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| ID | #PLAN SPACE | DEFAULT EXECUTION TIME | BEST PLAN EXECUTION TIME | EFFECTIVENESS | BETTER OPTIMAL PLANS | ESTROW Q-ERROR | QUERY |
+---------+-------------+------------------------+--------------------------+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| 10a.sql | 53 | 5182.2ms ± 4% | 4549.2ms ± 6% | 94.3% | #22(89.7%),#23(87.8%),#26(88.9%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(chn.name) AS uncredited_voiced_character,MIN(t.title) AS russian_movie FROM ((((((char_name AS chn) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN company_type AS ct) JOIN movie_companies AS mc) JOIN role_type AS rt) JOIN title AS t WHERE ci.note LIKE "%(voice)%" AND ci.note LIKE "%(uncredited)%" AND cn.country_code="[ru]" AND rt.role="actor" AND t.production_year>2005 AND t.id=mc.movie_id AND t.id=ci.movie_id AND ci.movie_id=mc.movie_id AND chn.id=ci.person_role_id AND rt.id=ci.role_id AND cn.id=mc.company_id AND ct.id=mc.company_type_id |
| 11a.sql | 65 | 2467.2ms ± 8% | 2467.2ms ± 8% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(cn.name) AS from_company,MIN(lt.link) AS movie_link_type,MIN(t.title) AS non_polish_sequel_movie FROM (((((((company_name AS cn) JOIN company_type AS ct) JOIN keyword AS k) JOIN link_type AS lt) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN movie_link AS ml) JOIN 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 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 ml.movie_id=mk.movie_id AND ml.movie_id=mc.movie_id AND mk.movie_id=mc.movie_id |
| 11b.sql | 73 | 1478.2ms ±23% | 1478.2ms ±23% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(cn.name) AS from_company,MIN(lt.link) AS movie_link_type,MIN(t.title) AS sequel_movie FROM (((((((company_name AS cn) JOIN company_type AS ct) JOIN keyword AS k) JOIN link_type AS lt) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN movie_link AS ml) JOIN 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 "%follows%" AND mc.note IS NULL AND t.production_year=1998 AND t.title LIKE "%Money%" 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 ml.movie_id=mk.movie_id AND ml.movie_id=mc.movie_id AND mk.movie_id=mc.movie_id |
| 11c.sql | 62 | 21241.2ms ± 7% | 21241.2ms ± 7% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(cn.name) AS from_company,MIN(mc.note) AS production_note,MIN(t.title) AS movie_based_on_book FROM (((((((company_name AS cn) JOIN company_type AS ct) JOIN keyword AS k) JOIN link_type AS lt) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN movie_link AS ml) JOIN title AS t WHERE cn.country_code!="[pl]" AND (cn.name LIKE "20th Century Fox%" OR cn.name LIKE "Twentieth Century Fox%") AND ct.kind!="production companies" AND ct.kind IS NOT NULL AND k.keyword IN ("sequel","revenge","based-on-novel") AND mc.note IS NOT NULL AND t.production_year>1950 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 ml.movie_id=mk.movie_id AND ml.movie_id=mc.movie_id AND mk.movie_id=mc.movie_id |
| 15a.sql | 87 | 4204.5ms ±165% | 4204.5ms ±165% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(mi.info) AS release_date,MIN(t.title) AS internet_movie FROM ((((((((aka_title AS at) JOIN company_name AS cn) JOIN company_type AS ct) JOIN info_type AS it1) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN title AS t WHERE cn.country_code="[us]" AND it1.info="release dates" AND mc.note LIKE "%(200%)%" AND mc.note LIKE "%(worldwide)%" AND mi.note LIKE "%internet%" AND mi.info LIKE "USA:% 200%" AND t.production_year>2000 AND t.id=at.movie_id AND t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mc.movie_id AND mk.movie_id=mi.movie_id AND mk.movie_id=mc.movie_id AND mk.movie_id=at.movie_id AND mi.movie_id=mc.movie_id AND mi.movie_id=at.movie_id AND mc.movie_id=at.movie_id AND k.id=mk.keyword_id AND it1.id=mi.info_type_id AND cn.id=mc.company_id AND ct.id=mc.company_type_id |
| 15b.sql | 85 | 85.0ms ±30% | 85.0ms ±30% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(mi.info) AS release_date,MIN(t.title) AS youtube_movie FROM ((((((((aka_title AS at) JOIN company_name AS cn) JOIN company_type AS ct) JOIN info_type AS it1) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN title AS t WHERE cn.country_code="[us]" AND cn.name="YouTube" AND it1.info="release dates" AND mc.note LIKE "%(200%)%" AND mc.note LIKE "%(worldwide)%" AND mi.note LIKE "%internet%" AND mi.info LIKE "USA:% 200%" AND t.production_year BETWEEN 2005 AND 2010 AND t.id=at.movie_id AND t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mc.movie_id AND mk.movie_id=mi.movie_id AND mk.movie_id=mc.movie_id AND mk.movie_id=at.movie_id AND mi.movie_id=mc.movie_id AND mi.movie_id=at.movie_id AND mc.movie_id=at.movie_id AND k.id=mk.keyword_id AND it1.id=mi.info_type_id AND cn.id=mc.company_id AND ct.id=mc.company_type_id |
| 15c.sql | 87 | 3181.5ms ± 2% | 1711.5ms ± 2% | 60.9% | #40(54.6%),#41(53.9%),#42(53.8%),#43(60.0%),#44(66.5%),#45(77.4%),#46(76.7%),#47(75.5%),#48(75.9%),#49(77.0%),#50(76.6%),#51(76.2%),#52(74.9%),#53(75.6%),#54(75.9%),#55(75.7%),#56(81.9%),#58(83.6%),#59(76.5%),#60(76.5%),#61(81.4%),#62(83.7%),#63(84.6%),#64(83.8%),#65(84.6%),#66(85.3%),#67(83.9%),#68(84.1%),#69(83.6%),#70(84.3%),#71(85.2%),#72(84.3%),#73(84.7%),#74(83.7%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(mi.info) AS release_date,MIN(t.title) AS modern_american_internet_movie FROM ((((((((aka_title AS at) JOIN company_name AS cn) JOIN company_type AS ct) JOIN info_type AS it1) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN title AS t WHERE cn.country_code="[us]" AND it1.info="release dates" AND mi.note LIKE "%internet%" AND mi.info IS NOT NULL AND (mi.info LIKE "USA:% 199%" OR mi.info LIKE "USA:% 200%") AND t.production_year>1990 AND t.id=at.movie_id AND t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mc.movie_id AND mk.movie_id=mi.movie_id AND mk.movie_id=mc.movie_id AND mk.movie_id=at.movie_id AND mi.movie_id=mc.movie_id AND mi.movie_id=at.movie_id AND mc.movie_id=at.movie_id AND k.id=mk.keyword_id AND it1.id=mi.info_type_id AND cn.id=mc.company_id AND ct.id=mc.company_type_id |
| 15d.sql | 85 | 2600.2ms ± 3% | 2110.0ms ± 3% | 87.1% | #51(81.1%),#52(82.8%),#53(81.4%),#57(82.8%),#58(82.1%),#63(87.6%),#66(86.8%),#67(88.1%),#68(85.7%),#69(85.9%),#72(86.3%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(at.title) AS aka_title,MIN(t.title) AS internet_movie_title FROM ((((((((aka_title AS at) JOIN company_name AS cn) JOIN company_type AS ct) JOIN info_type AS it1) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN movie_keyword AS mk) JOIN title AS t WHERE cn.country_code="[us]" AND it1.info="release dates" AND mi.note LIKE "%internet%" AND t.production_year>1990 AND t.id=at.movie_id AND t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mc.movie_id AND mk.movie_id=mi.movie_id AND mk.movie_id=mc.movie_id AND mk.movie_id=at.movie_id AND mi.movie_id=mc.movie_id AND mi.movie_id=at.movie_id AND mc.movie_id=at.movie_id AND k.id=mk.keyword_id AND it1.id=mi.info_type_id AND cn.id=mc.company_id AND ct.id=mc.company_type_id |
| 16a.sql | 67 | 349.8ms ±159% | 349.8ms ±159% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(an.name) AS cool_actor_pseudonym,MIN(t.title) AS series_named_after_char FROM (((((((aka_name AS an) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE cn.country_code="[us]" AND k.keyword="character-name-in-title" AND t.episode_nr>=50 AND t.episode_nr<100 AND an.person_id=n.id AND n.id=ci.person_id AND ci.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_id=cn.id AND an.person_id=ci.person_id AND ci.movie_id=mc.movie_id AND ci.movie_id=mk.movie_id AND mc.movie_id=mk.movie_id |
| 16b.sql | 66 | 7869.5ms ± 5% | 4409.8ms ± 5% | 81.8% | #23(87.5%),#24(85.1%),#25(85.8%),#26(84.1%),#31(86.7%),#32(83.9%),#33(83.0%),#35(87.4%),#37(82.8%),#48(76.4%),#51(56.0%),#52(69.6%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(an.name) AS cool_actor_pseudonym,MIN(t.title) AS series_named_after_char FROM (((((((aka_name AS an) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE cn.country_code="[us]" AND k.keyword="character-name-in-title" AND an.person_id=n.id AND n.id=ci.person_id AND ci.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_id=cn.id AND an.person_id=ci.person_id AND ci.movie_id=mc.movie_id AND ci.movie_id=mk.movie_id AND mc.movie_id=mk.movie_id |
| 16c.sql | 67 | 1039.8ms ± 6% | 1039.8ms ± 6% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(an.name) AS cool_actor_pseudonym,MIN(t.title) AS series_named_after_char FROM (((((((aka_name AS an) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE cn.country_code="[us]" AND k.keyword="character-name-in-title" AND t.episode_nr<100 AND an.person_id=n.id AND n.id=ci.person_id AND ci.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_id=cn.id AND an.person_id=ci.person_id AND ci.movie_id=mc.movie_id AND ci.movie_id=mk.movie_id AND mc.movie_id=mk.movie_id |
| 16d.sql | 67 | 858.5ms ± 4% | 858.5ms ± 4% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(an.name) AS cool_actor_pseudonym,MIN(t.title) AS series_named_after_char FROM (((((((aka_name AS an) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE cn.country_code="[us]" AND k.keyword="character-name-in-title" AND t.episode_nr>=5 AND t.episode_nr<100 AND an.person_id=n.id AND n.id=ci.person_id AND ci.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_id=cn.id AND an.person_id=ci.person_id AND ci.movie_id=mc.movie_id AND ci.movie_id=mk.movie_id AND mc.movie_id=mk.movie_id |
| 17a.sql | 63 | 3673.0ms ± 5% | 2703.2ms ± 3% | 76.2% | #23(81.3%),#24(79.1%),#25(78.4%),#26(77.7%),#31(86.3%),#32(74.6%),#33(74.8%),#44(81.3%),#45(82.6%),#46(73.6%),#51(81.4%),#52(84.3%),#55(80.0%),#61(87.8%),#62(89.9%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(n.name) AS member_in_charnamed_american_movie,MIN(n.name) AS a1 FROM ((((((cast_info AS ci) JOIN company_name AS cn) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE cn.country_code="[us]" AND k.keyword="character-name-in-title" AND n.name LIKE "B%" AND n.id=ci.person_id AND ci.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_id=cn.id AND ci.movie_id=mc.movie_id AND ci.movie_id=mk.movie_id AND mc.movie_id=mk.movie_id |
| 17b.sql | 68 | 4042.8ms ± 8% | 4042.8ms ± 8% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(n.name) AS member_in_charnamed_movie,MIN(n.name) AS a1 FROM ((((((cast_info AS ci) JOIN company_name AS cn) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE k.keyword="character-name-in-title" AND n.name LIKE "Z%" AND n.id=ci.person_id AND ci.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_id=cn.id AND ci.movie_id=mc.movie_id AND ci.movie_id=mk.movie_id AND mc.movie_id=mk.movie_id |
| 17c.sql | 68 | 4002.0ms ± 4% | 4002.0ms ± 4% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(n.name) AS member_in_charnamed_movie,MIN(n.name) AS a1 FROM ((((((cast_info AS ci) JOIN company_name AS cn) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE k.keyword="character-name-in-title" AND n.name LIKE "X%" AND n.id=ci.person_id AND ci.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_id=cn.id AND ci.movie_id=mc.movie_id AND ci.movie_id=mk.movie_id AND mc.movie_id=mk.movie_id |
| 17d.sql | 67 | 5679.2ms ± 5% | 4079.8ms ± 8% | 85.1% | #24(88.7%),#25(88.2%),#31(89.9%),#32(84.0%),#33(84.8%),#44(89.8%),#46(86.8%),#60(88.8%),#65(75.5%),#66(71.8%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(n.name) AS member_in_charnamed_movie FROM ((((((cast_info AS ci) JOIN company_name AS cn) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE k.keyword="character-name-in-title" AND n.name LIKE "%Bert%" AND n.id=ci.person_id AND ci.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_id=cn.id AND ci.movie_id=mc.movie_id AND ci.movie_id=mk.movie_id AND mc.movie_id=mk.movie_id |
| 17e.sql | 62 | 3731.2ms ± 7% | 2920.5ms ± 4% | 80.6% | #23(86.7%),#24(83.0%),#25(81.4%),#26(82.2%),#32(79.9%),#33(78.5%),#44(83.7%),#45(86.2%),#46(78.3%),#51(84.6%),#52(87.3%),#55(82.6%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(n.name) AS member_in_charnamed_movie FROM ((((((cast_info AS ci) JOIN company_name AS cn) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE cn.country_code="[us]" AND k.keyword="character-name-in-title" AND n.id=ci.person_id AND ci.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_id=cn.id AND ci.movie_id=mc.movie_id AND ci.movie_id=mk.movie_id AND mc.movie_id=mk.movie_id |
| 17f.sql | 67 | 5949.2ms ± 5% | 4352.8ms ± 9% | 79.1% | #23(88.3%),#24(86.3%),#25(85.9%),#26(88.7%),#31(87.6%),#32(82.4%),#33(82.1%),#44(88.1%),#46(83.7%),#59(89.7%),#60(89.0%),#63(89.1%),#65(73.2%),#66(74.1%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(n.name) AS member_in_charnamed_movie FROM ((((((cast_info AS ci) JOIN company_name AS cn) JOIN keyword AS k) JOIN movie_companies AS mc) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE k.keyword="character-name-in-title" AND n.name LIKE "%B%" AND n.id=ci.person_id AND ci.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_id=cn.id AND ci.movie_id=mc.movie_id AND ci.movie_id=mk.movie_id AND mc.movie_id=mk.movie_id |
| 19a.sql | 83 | 7315.0ms ± 8% | 5936.2ms ± 1% | 94.0% | #29(82.7%),#30(82.3%),#31(81.2%),#32(83.5%),#33(83.0%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(n.name) AS voicing_actress,MIN(t.title) AS voiced_movie FROM (((((((((aka_name AS an) JOIN char_name AS chn) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN info_type AS it) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN name AS n) JOIN role_type AS rt) JOIN title AS t WHERE ci.note IN ("(voice)","(voice: Japanese version)","(voice) (uncredited)","(voice: English version)") AND cn.country_code="[us]" AND it.info="release dates" AND mc.note IS NOT NULL AND (mc.note LIKE "%(USA)%" OR mc.note LIKE "%(worldwide)%") AND mi.info IS NOT NULL AND (mi.info LIKE "Japan:%200%" OR mi.info LIKE "USA:%200%") AND n.gender="f" AND n.name LIKE "%Ang%" AND rt.role="actress" AND t.production_year BETWEEN 2005 AND 2009 AND t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND mc.movie_id=ci.movie_id AND mc.movie_id=mi.movie_id AND mi.movie_id=ci.movie_id AND cn.id=mc.company_id AND it.id=mi.info_type_id AND n.id=ci.person_id AND rt.id=ci.role_id AND n.id=an.person_id AND ci.person_id=an.person_id AND chn.id=ci.person_role_id |
| 19b.sql | 89 | 6522.0ms ± 5% | 1901.5ms ± 3% | 79.8% | #32(29.6%),#33(29.5%),#34(29.2%),#35(32.3%),#36(37.4%),#37(42.9%),#38(42.6%),#39(42.4%),#40(43.0%),#41(42.0%),#42(42.7%),#43(43.1%),#44(42.2%),#45(42.1%),#46(41.5%),#47(42.7%),#48(42.6%),#49(84.5%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(n.name) AS voicing_actress,MIN(t.title) AS kung_fu_panda FROM (((((((((aka_name AS an) JOIN char_name AS chn) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN info_type AS it) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN name AS n) JOIN role_type AS rt) JOIN title AS t WHERE ci.note="(voice)" AND cn.country_code="[us]" AND it.info="release dates" AND mc.note LIKE "%(200%)%" AND (mc.note LIKE "%(USA)%" OR mc.note LIKE "%(worldwide)%") AND mi.info IS NOT NULL AND (mi.info LIKE "Japan:%2007%" OR mi.info LIKE "USA:%2008%") AND n.gender="f" AND n.name LIKE "%Angel%" AND rt.role="actress" AND t.production_year BETWEEN 2007 AND 2008 AND t.title LIKE "%Kung%Fu%Panda%" AND t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND mc.movie_id=ci.movie_id AND mc.movie_id=mi.movie_id AND mi.movie_id=ci.movie_id AND cn.id=mc.company_id AND it.id=mi.info_type_id AND n.id=ci.person_id AND rt.id=ci.role_id AND n.id=an.person_id AND ci.person_id=an.person_id AND chn.id=ci.person_role_id |
| 19c.sql | 84 | 7108.8ms ± 4% | 6266.2ms ± 3% | 82.1% | #42(89.9%),#43(89.7%),#44(89.6%),#45(89.5%),#46(88.9%),#47(89.6%),#48(89.8%),#49(88.8%),#53(88.6%),#54(88.8%),#55(88.1%),#56(89.6%),#57(89.9%),#58(89.4%),#62(89.8%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(n.name) AS voicing_actress,MIN(t.title) AS jap_engl_voiced_movie FROM (((((((((aka_name AS an) JOIN char_name AS chn) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN info_type AS it) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN name AS n) JOIN role_type AS rt) JOIN title AS t WHERE ci.note IN ("(voice)","(voice: Japanese version)","(voice) (uncredited)","(voice: English version)") AND cn.country_code="[us]" AND it.info="release dates" AND mi.info IS NOT NULL AND (mi.info LIKE "Japan:%200%" OR mi.info LIKE "USA:%200%") AND n.gender="f" AND n.name LIKE "%An%" AND rt.role="actress" AND t.production_year>2000 AND t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND mc.movie_id=ci.movie_id AND mc.movie_id=mi.movie_id AND mi.movie_id=ci.movie_id AND cn.id=mc.company_id AND it.id=mi.info_type_id AND n.id=ci.person_id AND rt.id=ci.role_id AND n.id=an.person_id AND ci.person_id=an.person_id AND chn.id=ci.person_role_id |
| 19d.sql | 83 | 13492.5ms ± 3% | 13492.5ms ± 3% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(n.name) AS voicing_actress,MIN(t.title) AS jap_engl_voiced_movie FROM (((((((((aka_name AS an) JOIN char_name AS chn) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN info_type AS it) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN name AS n) JOIN role_type AS rt) JOIN title AS t WHERE ci.note IN ("(voice)","(voice: Japanese version)","(voice) (uncredited)","(voice: English version)") AND cn.country_code="[us]" AND it.info="release dates" AND n.gender="f" AND rt.role="actress" AND t.production_year>2000 AND t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND mc.movie_id=ci.movie_id AND mc.movie_id=mi.movie_id AND mi.movie_id=ci.movie_id AND cn.id=mc.company_id AND it.id=mi.info_type_id AND n.id=ci.person_id AND rt.id=ci.role_id AND n.id=an.person_id AND ci.person_id=an.person_id AND chn.id=ci.person_role_id |
+---------+-------------+------------------------+--------------------------+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
+--------+-------------+------------------------+--------------------------+---------------+---------------------------------------------------------------------------------------------------------------+--------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| ID | #PLAN SPACE | DEFAULT EXECUTION TIME | BEST PLAN EXECUTION TIME | EFFECTIVENESS | BETTER OPTIMAL PLANS | ESTROW Q-ERROR | QUERY |
+--------+-------------+------------------------+--------------------------+---------------+---------------------------------------------------------------------------------------------------------------+--------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| 5a.sql | 36 | 996.2ms ± 8% | 996.2ms ± 8% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(t.title) AS typical_european_movie FROM ((((company_type AS ct) JOIN info_type AS it) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN title AS t WHERE ct.kind="production companies" AND mc.note LIKE "%(theatrical)%" AND mc.note LIKE "%(France)%" AND mi.info IN ("Sweden","Norway","Germany","Denmark","Swedish","Denish","Norwegian","German") AND t.production_year>2005 AND t.id=mi.movie_id AND t.id=mc.movie_id AND mc.movie_id=mi.movie_id AND ct.id=mc.company_type_id AND it.id=mi.info_type_id |
| 5b.sql | 36 | 1064.2ms ±12% | 1064.2ms ±12% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(t.title) AS american_vhs_movie FROM ((((company_type AS ct) JOIN info_type AS it) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN title AS t WHERE ct.kind="production companies" AND mc.note LIKE "%(VHS)%" AND mc.note LIKE "%(USA)%" AND mc.note LIKE "%(1994)%" AND mi.info IN ("USA","America") AND t.production_year>2010 AND t.id=mi.movie_id AND t.id=mc.movie_id AND mc.movie_id=mi.movie_id AND ct.id=mc.company_type_id AND it.id=mi.info_type_id |
| 5c.sql | 36 | 1396.0ms ± 4% | 935.0ms ± 3% | 77.8% | #13(68.3%),#14(67.0%),#15(67.6%),#18(76.7%),#19(78.4%),#20(78.2%),#22(77.5%),#23(77.3%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(t.title) AS american_movie FROM ((((company_type AS ct) JOIN info_type AS it) JOIN movie_companies AS mc) JOIN movie_info AS mi) JOIN title AS t WHERE ct.kind="production companies" AND mc.note NOT LIKE "%(TV)%" AND mc.note LIKE "%(USA)%" AND mi.info IN ("Sweden","Norway","Germany","Denmark","Swedish","Denish","Norwegian","German","USA","American") AND t.production_year>1990 AND t.id=mi.movie_id AND t.id=mc.movie_id AND mc.movie_id=mi.movie_id AND ct.id=mc.company_type_id AND it.id=mi.info_type_id |
| 6a.sql | 33 | 48.0ms ±72% | 48.0ms ±72% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(k.keyword) AS movie_keyword,MIN(n.name) AS actor_name,MIN(t.title) AS marvel_movie FROM ((((cast_info AS ci) JOIN keyword AS k) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE k.keyword="marvel-cinematic-universe" AND n.name LIKE "%Downey%Robert%" AND t.production_year>2010 AND k.id=mk.keyword_id AND t.id=mk.movie_id AND t.id=ci.movie_id AND ci.movie_id=mk.movie_id AND n.id=ci.person_id |
| 6b.sql | 35 | 732.8ms ± 9% | 732.8ms ± 9% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(k.keyword) AS movie_keyword,MIN(n.name) AS actor_name,MIN(t.title) AS hero_movie FROM ((((cast_info AS ci) JOIN keyword AS k) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE k.keyword IN ("superhero","sequel","second-part","marvel-comics","based-on-comic","tv-special","fight","violence") AND n.name LIKE "%Downey%Robert%" AND t.production_year>2014 AND k.id=mk.keyword_id AND t.id=mk.movie_id AND t.id=ci.movie_id AND ci.movie_id=mk.movie_id AND n.id=ci.person_id |
| 6c.sql | 33 | 25.2ms ±36% | 25.2ms ±36% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(k.keyword) AS movie_keyword,MIN(n.name) AS actor_name,MIN(t.title) AS marvel_movie FROM ((((cast_info AS ci) JOIN keyword AS k) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE k.keyword="marvel-cinematic-universe" AND n.name LIKE "%Downey%Robert%" AND t.production_year>2014 AND k.id=mk.keyword_id AND t.id=mk.movie_id AND t.id=ci.movie_id AND ci.movie_id=mk.movie_id AND n.id=ci.person_id |
| 6d.sql | 35 | 2790.8ms ± 5% | 2178.0ms ± 8% | 77.1% | #10(84.6%),#11(80.8%),#12(83.8%),#17(88.3%),#18(80.1%),#19(80.9%),#22(88.2%),#24(78.0%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(k.keyword) AS movie_keyword,MIN(n.name) AS actor_name,MIN(t.title) AS hero_movie FROM ((((cast_info AS ci) JOIN keyword AS k) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE k.keyword IN ("superhero","sequel","second-part","marvel-comics","based-on-comic","tv-special","fight","violence") AND n.name LIKE "%Downey%Robert%" AND t.production_year>2000 AND k.id=mk.keyword_id AND t.id=mk.movie_id AND t.id=ci.movie_id AND ci.movie_id=mk.movie_id AND n.id=ci.person_id |
| 6e.sql | 33 | 38.5ms ± 3% | 38.5ms ± 3% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(k.keyword) AS movie_keyword,MIN(n.name) AS actor_name,MIN(t.title) AS marvel_movie FROM ((((cast_info AS ci) JOIN keyword AS k) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE k.keyword="marvel-cinematic-universe" AND n.name LIKE "%Downey%Robert%" AND t.production_year>2000 AND k.id=mk.keyword_id AND t.id=mk.movie_id AND t.id=ci.movie_id AND ci.movie_id=mk.movie_id AND n.id=ci.person_id |
| 6f.sql | 35 | 2781.5ms ± 2% | 2261.2ms ± 6% | 85.7% | #10(87.4%),#11(86.1%),#18(84.4%),#19(84.4%),#24(81.3%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(k.keyword) AS movie_keyword,MIN(n.name) AS actor_name,MIN(t.title) AS hero_movie FROM ((((cast_info AS ci) JOIN keyword AS k) JOIN movie_keyword AS mk) JOIN name AS n) JOIN title AS t WHERE k.keyword IN ("superhero","sequel","second-part","marvel-comics","based-on-comic","tv-special","fight","violence") AND t.production_year>2000 AND k.id=mk.keyword_id AND t.id=mk.movie_id AND t.id=ci.movie_id AND ci.movie_id=mk.movie_id AND n.id=ci.person_id |
| 7a.sql | 59 | 546.5ms ±48% | 546.5ms ±48% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(n.name) AS of_person,MIN(t.title) AS biography_movie FROM (((((((aka_name AS an) JOIN cast_info AS ci) JOIN info_type AS it) JOIN link_type AS lt) JOIN movie_link AS ml) JOIN name AS n) JOIN person_info AS pi) JOIN title AS t WHERE an.name LIKE "%a%" AND it.info="mini biography" AND lt.link="features" AND n.name_pcode_cf BETWEEN "A" AND "F" AND (n.gender="m" OR (n.gender="f" AND n.name LIKE "B%")) AND pi.note="Volker Boehm" AND t.production_year BETWEEN 1980 AND 1995 AND n.id=an.person_id AND n.id=pi.person_id AND ci.person_id=n.id AND t.id=ci.movie_id AND ml.linked_movie_id=t.id AND lt.id=ml.link_type_id AND it.id=pi.info_type_id AND pi.person_id=an.person_id AND pi.person_id=ci.person_id AND an.person_id=ci.person_id AND ci.movie_id=ml.linked_movie_id |
| 7b.sql | 67 | 435.2ms ±10% | 435.2ms ±10% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(n.name) AS of_person,MIN(t.title) AS biography_movie FROM (((((((aka_name AS an) JOIN cast_info AS ci) JOIN info_type AS it) JOIN link_type AS lt) JOIN movie_link AS ml) JOIN name AS n) JOIN person_info AS pi) JOIN title AS t WHERE an.name LIKE "%a%" AND it.info="mini biography" AND lt.link="features" AND n.name_pcode_cf LIKE "D%" AND n.gender="m" AND pi.note="Volker Boehm" AND t.production_year BETWEEN 1980 AND 1984 AND n.id=an.person_id AND n.id=pi.person_id AND ci.person_id=n.id AND t.id=ci.movie_id AND ml.linked_movie_id=t.id AND lt.id=ml.link_type_id AND it.id=pi.info_type_id AND pi.person_id=an.person_id AND pi.person_id=ci.person_id AND an.person_id=ci.person_id AND ci.movie_id=ml.linked_movie_id |
| 7c.sql | 59 | 8470.0ms ±14% | 8470.0ms ±14% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(n.name) AS cast_member_name,MIN(pi.info) AS cast_member_info FROM (((((((aka_name AS an) JOIN cast_info AS ci) JOIN info_type AS it) JOIN link_type AS lt) JOIN movie_link AS ml) JOIN name AS n) JOIN person_info AS pi) JOIN title AS t WHERE an.name IS NOT NULL AND (an.name LIKE "%a%" OR an.name LIKE "A%") AND it.info="mini biography" AND lt.link IN ("references","referenced in","features","featured in") AND n.name_pcode_cf BETWEEN "A" AND "F" AND (n.gender="m" OR (n.gender="f" AND n.name LIKE "A%")) AND pi.note IS NOT NULL AND t.production_year BETWEEN 1980 AND 2010 AND n.id=an.person_id AND n.id=pi.person_id AND ci.person_id=n.id AND t.id=ci.movie_id AND ml.linked_movie_id=t.id AND lt.id=ml.link_type_id AND it.id=pi.info_type_id AND pi.person_id=an.person_id AND pi.person_id=ci.person_id AND an.person_id=ci.person_id AND ci.movie_id=ml.linked_movie_id |
| 8a.sql | 60 | 4397.5ms ±13% | 3666.2ms ± 2% | 95.0% | #27(83.7%),#28(84.5%),#29(83.4%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(an1.name) AS actress_pseudonym,MIN(t.title) AS japanese_movie_dubbed FROM ((((((aka_name AS an1) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN movie_companies AS mc) JOIN name AS n1) JOIN role_type AS rt) JOIN title AS t WHERE ci.note="(voice: English version)" AND cn.country_code="[jp]" AND mc.note LIKE "%(Japan)%" AND mc.note NOT LIKE "%(USA)%" AND n1.name LIKE "%Yo%" AND n1.name NOT LIKE "%Yu%" AND rt.role="actress" AND an1.person_id=n1.id AND n1.id=ci.person_id AND ci.movie_id=t.id AND t.id=mc.movie_id AND mc.company_id=cn.id AND ci.role_id=rt.id AND an1.person_id=ci.person_id AND ci.movie_id=mc.movie_id |
| 8b.sql | 61 | 4405.8ms ± 5% | 3436.0ms ± 4% | 93.4% | #25(78.2%),#26(79.9%),#27(78.0%),#28(89.1%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(an.name) AS acress_pseudonym,MIN(t.title) AS japanese_anime_movie FROM ((((((aka_name AS an) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN movie_companies AS mc) JOIN name AS n) JOIN role_type AS rt) JOIN title AS t WHERE ci.note="(voice: English version)" AND cn.country_code="[jp]" AND mc.note LIKE "%(Japan)%" AND mc.note NOT LIKE "%(USA)%" AND (mc.note LIKE "%(2006)%" OR mc.note LIKE "%(2007)%") AND n.name LIKE "%Yo%" AND n.name NOT LIKE "%Yu%" AND rt.role="actress" AND t.production_year BETWEEN 2006 AND 2007 AND (t.title LIKE "One Piece%" OR t.title LIKE "Dragon Ball Z%") AND an.person_id=n.id AND n.id=ci.person_id AND ci.movie_id=t.id AND t.id=mc.movie_id AND mc.company_id=cn.id AND ci.role_id=rt.id AND an.person_id=ci.person_id AND ci.movie_id=mc.movie_id |
| 8c.sql | 63 | 7323.8ms ± 3% | 7323.8ms ± 3% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(a1.name) AS writer_pseudo_name,MIN(t.title) AS movie_title FROM ((((((aka_name AS a1) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN movie_companies AS mc) JOIN name AS n1) JOIN role_type AS rt) JOIN title AS t WHERE cn.country_code="[us]" AND rt.role="writer" AND a1.person_id=n1.id AND n1.id=ci.person_id AND ci.movie_id=t.id AND t.id=mc.movie_id AND mc.company_id=cn.id AND ci.role_id=rt.id AND a1.person_id=ci.person_id AND ci.movie_id=mc.movie_id |
| 8d.sql | 63 | 1695.5ms ± 4% | 1695.5ms ± 4% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(an1.name) AS costume_designer_pseudo,MIN(t.title) AS movie_with_costumes FROM ((((((aka_name AS an1) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN movie_companies AS mc) JOIN name AS n1) JOIN role_type AS rt) JOIN title AS t WHERE cn.country_code="[us]" AND rt.role="costume designer" AND an1.person_id=n1.id AND n1.id=ci.person_id AND ci.movie_id=t.id AND t.id=mc.movie_id AND mc.company_id=cn.id AND ci.role_id=rt.id AND an1.person_id=ci.person_id AND ci.movie_id=mc.movie_id |
| 9a.sql | 72 | 5011.2ms ± 5% | 3794.0ms ± 2% | 86.1% | #30(76.8%),#31(76.7%),#32(75.7%),#33(84.1%),#38(89.9%),#39(88.1%),#40(89.7%),#46(88.4%),#50(89.7%),#54(89.9%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(an.name) AS alternative_name,MIN(chn.name) AS character_name,MIN(t.title) AS movie FROM (((((((aka_name AS an) JOIN char_name AS chn) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN movie_companies AS mc) JOIN name AS n) JOIN role_type AS rt) JOIN title AS t WHERE ci.note IN ("(voice)","(voice: Japanese version)","(voice) (uncredited)","(voice: English version)") AND cn.country_code="[us]" AND mc.note IS NOT NULL AND (mc.note LIKE "%(USA)%" OR mc.note LIKE "%(worldwide)%") AND n.gender="f" AND n.name LIKE "%Ang%" AND rt.role="actress" AND t.production_year BETWEEN 2005 AND 2015 AND ci.movie_id=t.id AND t.id=mc.movie_id AND ci.movie_id=mc.movie_id AND mc.company_id=cn.id AND ci.role_id=rt.id AND n.id=ci.person_id AND chn.id=ci.person_role_id AND an.person_id=n.id AND an.person_id=ci.person_id |
| 9b.sql | 75 | 4628.2ms ± 4% | 3813.5ms ± 6% | 96.0% | #34(82.4%),#35(84.0%),#36(82.6%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(an.name) AS alternative_name,MIN(chn.name) AS voiced_character,MIN(n.name) AS voicing_actress,MIN(t.title) AS american_movie FROM (((((((aka_name AS an) JOIN char_name AS chn) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN movie_companies AS mc) JOIN name AS n) JOIN role_type AS rt) JOIN title AS t WHERE ci.note="(voice)" AND cn.country_code="[us]" AND mc.note LIKE "%(200%)%" AND (mc.note LIKE "%(USA)%" OR mc.note LIKE "%(worldwide)%") AND n.gender="f" AND n.name LIKE "%Angel%" AND rt.role="actress" AND t.production_year BETWEEN 2007 AND 2010 AND ci.movie_id=t.id AND t.id=mc.movie_id AND ci.movie_id=mc.movie_id AND mc.company_id=cn.id AND ci.role_id=rt.id AND n.id=ci.person_id AND chn.id=ci.person_role_id AND an.person_id=n.id AND an.person_id=ci.person_id |
| 9c.sql | 68 | 4877.0ms ± 6% | 3984.5ms ± 2% | 95.6% | #28(82.4%),#29(83.4%),#30(81.7%) | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(an.name) AS alternative_name,MIN(chn.name) AS voiced_character_name,MIN(n.name) AS voicing_actress,MIN(t.title) AS american_movie FROM (((((((aka_name AS an) JOIN char_name AS chn) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN movie_companies AS mc) JOIN name AS n) JOIN role_type AS rt) JOIN title AS t WHERE ci.note IN ("(voice)","(voice: Japanese version)","(voice) (uncredited)","(voice: English version)") AND cn.country_code="[us]" AND n.gender="f" AND n.name LIKE "%An%" AND rt.role="actress" AND ci.movie_id=t.id AND t.id=mc.movie_id AND ci.movie_id=mc.movie_id AND mc.company_id=cn.id AND ci.role_id=rt.id AND n.id=ci.person_id AND chn.id=ci.person_role_id AND an.person_id=n.id AND an.person_id=ci.person_id |
| 9d.sql | 68 | 6426.2ms ± 3% | 6426.2ms ± 3% | 100.0% | | count:0, median:NaN, 90th:NaN, 95th:NaN, max:NaN | SELECT MIN(an.name) AS alternative_name,MIN(chn.name) AS voiced_char_name,MIN(n.name) AS voicing_actress,MIN(t.title) AS american_movie FROM (((((((aka_name AS an) JOIN char_name AS chn) JOIN cast_info AS ci) JOIN company_name AS cn) JOIN movie_companies AS mc) JOIN name AS n) JOIN role_type AS rt) JOIN title AS t WHERE ci.note IN ("(voice)","(voice: Japanese version)","(voice) (uncredited)","(voice: English version)") AND cn.country_code="[us]" AND n.gender="f" AND rt.role="actress" AND ci.movie_id=t.id AND t.id=mc.movie_id AND ci.movie_id=mc.movie_id AND mc.company_id=cn.id AND ci.role_id=rt.id AND n.id=ci.person_id AND chn.id=ci.person_role_id AND an.person_id=n.id AND an.person_id=ci.person_id |
+--------+-------------+------------------------+--------------------------+---------------+---------------------------------------------------------------------------------------------------------------+--------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
Reproduce Steps
TiDB Server Configuration
Prepare IMDB:
Refer to https://github.com/gregrahn/join-order-benchmark#step-by-step-instructions
Run Horo:
Test Report
How to read the report:
ID: query id#PLAN SPACE: the plan space size of a queryDEFAULT EXECUTION TIME: the execution time of default plan, giving in the format of "Mean ±Diff", "Mean" is the mean value ofroundrounds, and "Diff" is the lower/upper bound of the mean valueBEST PLAN EXECUTION TIME: the execution time of the best planEFFECTIVENESS: the percent of the execution time of the default plan better than others on plan spaceBETTER OPTIMAL PLANS: gives the better plan, each item is giving in the format of "nth_plan id(<execution time> / <default execution time>)"QUERY: the query