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SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE t.id = ml.movie_id AND it.id = mi.info_type_id AND ml.movie_id = mi.movie_id AND cn.country_code = '[us]' AND ml.movie_id = mk.movie_id AND t.production_year > 1950 AND t.id = mk.movie_id AND k.id = mk.keyword_id AND it.info = 'release dates' AND mk.movie_id = mc.movie_id AND mi.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND lt.link LIKE '%follow%' AND ml.movie_id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mi.note LIKE '%internet%' AND lt.id = ml.link_type_id AND mc.note LIKE '%(USA)%' AND t.id = mc.movie_id AND mi.info LIKE 'USA:% 199%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') | job |
Select l_orderkey, Sum(l_extendedprice * (1 - l_discount)) As revenue, o_orderdate, o_shippriority From customer, orders, lineitem Where l_shipdate > DATE 1 AND c_custkey = o_custkey AND c_mktsegment = 1 AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 Group By l_orderkey, o_orderdate, o_shippriority Order By revenue Desc, o_orderdate Limit 10 | tpch |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE s_nationkey = n1.n_nationkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND c_custkey = o_custkey AND o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND c_nationkey = n2.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, movie_info_idx AS mi_idx, title AS t WHERE t.production_year <= 2005 AND t.production_year >= 2000 AND t.id = mi_idx.movie_id AND mi_idx.info > '8.0' AND it.id = mi_idx.info_type_id AND it.info ='rating' | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE b.UserId = u.Id AND p.Id = pl.RelatedPostId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 AND c.UserId = u.Id AND p.Id = v.PostId AND p.Score <= 40 AND p.Id = c.PostId | stats |
SELECT bought_city, c_last_name, extended_price, list_price, c_first_name, ca_city, ss_ticket_number, extended_tax FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk INNER JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 5 OR hd_vehicle_count = 2) AND d_dow IN (6, 0) AND d_year IN (2001, 2001, 2001) AND s_city IN ('Clinton', 'Glendale') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn INNER JOIN customer ON ss_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT SUM(cr_net_loss) AS returns_loss, cc_call_center_id AS call_center, cc_manager AS manager, cc_name AS call_center_name FROM call_center INNER JOIN catalog_returns ON cr_call_center_sk = cc_call_center_sk INNER JOIN date_dim ON cr_returned_date_sk = d_date_sk INNER JOIN customer ON cr_returning_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = ca_address_sk INNER JOIN customer_demographics ON cr_returning_cdemo_sk = cd_demo_sk INNER JOIN household_demographics ON cr_returning_hdemo_sk = hd_demo_sk WHERE ca_gmt_offset = -5 AND d_year = 2001 AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree') OR (hd_buy_potential LIKE '1001-5000%' AND ca_gmt_offset = -5) ) AND d_moy = 12 GROUP BY cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status ORDER BY returns_loss DESC LIMIT 100; | tpcds |
select count(*) from comments as c, posts as p, users as u where c.CreationDate >= '2010-08-05 00:36:02'::timestamp and p.FavoriteCount >= 0 and c.UserId = u.Id and p.CommentCount >= 0 and u.Id = p.OwnerUserId and p.ViewCount >= 0 | stats |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE p.Id = v.PostId AND pl.LinkTypeId = 1 AND p.Id = ph.PostId AND c.UserId = u.Id AND p.Id = c.PostId AND p.Id = pl.RelatedPostId AND p.Score <= 40 AND b.UserId = u.Id | stats |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword = 'marvel-cinematic-universe' AND k.id = mk.keyword_id AND t.production_year > 2010 AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND n.id = ci.person_id AND n.name LIKE '%Hemsworth%Chris%' | job |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE ml.linked_movie_id = t.id AND an.name LIKE '%a%' AND pi.person_id = an.person_id AND n.id = pi.person_id AND lt.id = ml.link_type_id AND ci.person_id = n.id AND it.id = pi.info_type_id AND it.info = 'mini biography' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND lt.link = 'features' AND t.id = ci.movie_id AND pi.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND t.production_year BETWEEN 1980 AND 1995 AND pi.note = 'Volker Boehm' AND n.id = an.person_id AND an.person_id = ci.person_id | job |
SELECT c_last_name, cnt, c_salutation, c_first_name, c_preferred_cust_flag, ss_ticket_number FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.37 AND d_year IN (2001, 2002, 2003) AND s_county IN ('Bronz County', 'Barrow County', 'Jackson County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = ph.PostId AND p.Id = pl.PostId AND c.Score = 0 AND p.FavoriteCount >= 0 AND p.Id = v.PostId AND pl.LinkTypeId = 1 AND p.Id = c.PostId LIMIT 10; | stats |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND n_regionkey = r_regionkey AND p_size = 1 AND p_type LIKE 1 AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND r_name = 1 AND p_partkey = ps_partkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
Select Min(t.title) As american_movie From company_type As ct, info_type As it, movie_companies As mc, movie_info As mi, title As t Where mc.movie_id = mi.movie_id And ct.kind = 'production companies' And (mc.note Like '%(co-production)%' Or mc.note Like '%(presents)%') And it.id = mi.info_type_id And mc.note Not Like '%(As Metro-Goldwyn-Mayer Pictures)%' And t.id = mc.movie_id And it.info = 'bottom 10 rank' And ct.id = mc.company_type_id And t.id = mi.movie_id | job |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE c_nationkey = n1.n_nationkey AND n1.n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND s_nationkey = n2.n_nationkey AND o_custkey = c_custkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_suppkey = l_suppkey AND p_type = 1 ) AS all_nations AND p_partkey = l_partkey AND r_name = 1 GROUP BY o_year ORDER BY o_year | tpch |
SELECT AVG(cs_quantity) AS agg1, i_item_id, AVG(cs_coupon_amt) AS agg3, AVG(cs_sales_price) AS agg4, AVG(cs_list_price) AS agg2 FROM catalog_sales JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk JOIN item ON cs_item_sk = i_item_sk JOIN promotion ON cs_promo_sk = p_promo_sk WHERE (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'F' AND cd_marital_status = 'S' AND d_year = 1999 AND cd_education_status = 'Advanced Degree' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, badges as b where p.Id = pl.RelatedPostId AND b.UserId = c.UserId AND p.Id = ph.PostId AND p.Id = v.PostId AND c.Score = 0 AND p.Id = c.PostId AND pl.LinkTypeId = 1 | stats |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND c_nationkey = n2.n_nationkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND s_nationkey = n1.n_nationkey AND c_custkey = o_custkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
Select Min(k.keyword) As movie_keyword, Min(n.name) As actor_name, Min(t.title) As marvel_movie From cast_info As ci, keyword As k, movie_keyword As mk, name As n, title As t Where t.id = mk.movie_id And k.id = mk.keyword_id And t.production_year > 2010 And k.keyword = 'marvel-cinematic-universe' And t.id = ci.movie_id And ci.movie_id = mk.movie_id And n.name Like '%Hemsworth%Chris%' And n.id = ci.person_id | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.id = ci.person_id AND n.name LIKE '%Hemsworth%Chris%' AND k.id = mk.keyword_id AND t.id = ci.movie_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id | job |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE s_suppkey = ps_suppkey AND r_name = 1 AND n_regionkey = r_regionkey AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_partkey = ps_partkey AND s_nationkey = n_nationkey AND p_type LIKE 1 AND p_size = 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.id = mk.movie_id AND k.id = mk.keyword_id AND k.keyword LIKE '%sequel%' AND mk.movie_id = mi.movie_id AND t.production_year > 2005 LIMIT 1000; | job |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE ci.role_id = rt.id AND mk.movie_id = ci.movie_id AND ci.person_id = an.person_id AND mc.note NOT LIKE '%(USA)%' AND ct.id = mc.company_type_id AND ci.movie_id = mc.movie_id AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND cn.country_code = '[jp]' AND t.id = mc.movie_id AND k.keyword = 'anime' AND ci.note LIKE '%(voice: English version)%' AND an.person_id = n.id AND rt.role = 'actress' AND cn.id = mc.company_id AND t.production_year > 1990 AND t.id = ci.movie_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND n.gender = 'f' | job |
WITH _q AS ( SELECT COUNT(1) FROM posts AS p, tags AS t WHERE p.Id = t.ExcerptPostId AND p.CommentCount >= 0 LIMIT 10 ) SELECT * FROM _q; | stats |
Select Min(mi_idx.info) As rating, Min(t.title) As movie_title From info_type As it, movie_info_idx As mi_idx, title As t Where t.production_year <= 2005 AND it.info ='rating' AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND t.production_year >= 2000 AND mi_idx.info > '8.0' | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.id = ci.movie_id AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND n.name LIKE '%Hemsworth%Chris%' | job |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE s_nationkey = n2.n_nationkey AND p_type = 1 ) AS all_nations AND n1.n_regionkey = r_regionkey AND c_nationkey = n1.n_nationkey AND l_orderkey = o_orderkey AND o_custkey = c_custkey AND p_partkey = l_partkey AND r_name = 1 AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_suppkey = l_suppkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT c_first_name, extended_price, list_price, ss_ticket_number, ca_city, c_last_name, extended_tax, bought_city FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE d_year IN (1999, 2002, 2003) AND d_dow IN (6, 0) AND (hd_dep_count = 5 OR hd_vehicle_count = 0) AND s_city IN ('Clinton', 'Oak Grove') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
WITH _q AS ( SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE it.id = mi_idx.info_type_id ) SELECT * FROM _q AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'top 250 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' | job |
SELECT s_name, total_revenue, s_phone, s_address, s_suppkey FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) ORDER BY s_suppkey LIMIT 500; | tpch |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND k.keyword ='character-name-in-title' AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND cn.country_code ='[sm]' LIMIT 50; | job |
WITH year_total AS ( SELECT 's' AS sale_type, d_year AS dyear, c_preferred_cust_flag AS customer_preferred_cust_flag, c_customer_id AS customer_id, c_login AS customer_login, c_birth_country AS customer_birth_country, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_first_name AS customer_first_name, c_email_address AS customer_email_address, c_last_name AS customer_last_name FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2000 AND 2000 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2000 AND t_s_secyear.dyear = 2000 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
SELECT c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_comment FROM customer, orders, lineitem, nation WHERE l_orderkey = o_orderkey AND c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND c_nationkey = n_nationkey AND l_returnflag = 'R' AND o_orderdate >= DATE 1 GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue ASC LIMIT 20 | tpch |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.AnswerCount >= 0 AND p.Id = pl.PostId AND p.Id = ph.PostId AND p.Id = c.PostId AND p.PostTypeId = 1 AND u.Id = p.OwnerUserId AND p.Id = v.PostId | stats |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE it.info = 'release dates' AND mi.movie_id = ci.movie_id AND chn.id = ci.person_role_id AND mc.note LIKE '%(USA)%' AND an.person_id = n.id AND t.id = mi.movie_id AND t.id = ci.movie_id AND n.gender = 'f' AND ci.movie_id = mc.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND rt.role = 'actress' AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND n.id = ci.person_id AND it.id = mi.info_type_id AND ci.person_id = an.person_id AND t.id = mc.movie_id AND cn.country_code = '[us]' AND ci.role_id = rt.id AND t.production_year > 2000 | job |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE s_suppkey = ps_suppkey AND p_partkey = ps_partkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND p_type LIKE 1 AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_size = 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note LIKE '%(uncredited)%' AND ci.note LIKE '%(voice)%' AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND cn.id = mc.company_id AND t.production_year > 2005 AND cn.country_code = '[ru]' AND rt.role = 'actor' AND chn.id = ci.person_role_id AND ct.id = mc.company_type_id AND rt.id = ci.role_id AND t.id = mc.movie_id | job |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(1) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE hd_vehicle_count > 0 AND d_year IN (1999, 2001, 2002) AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND d_dom BETWEEN 1 AND 2 AND s_county IN ('Williamson County', 'Daviess County', 'Oglethorpe County', 'Maricopa County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count FROM orders, lineitem WHERE l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate AND o_orderkey = l_orderkey AND l_shipdate < l_commitdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE n_regionkey = r_regionkey AND l_suppkey = s_suppkey AND s_nationkey = n_nationkey AND r_name = 1 AND c_custkey = o_custkey AND o_orderdate >= DATE 1 AND c_nationkey = s_nationkey AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority != '1-URGENT' AND o_orderpriority != '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE o_orderkey = l_orderkey AND l_shipmode = ANY(ARRAY[1, 1]) AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate AND l_shipdate < l_commitdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT MIN(t.title) AS japanese_movie_dubbed, MIN(an1.name) AS actress_pseudonym FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE an1.person_id = n1.id AND ci.movie_id = t.id AND t.id = mc.movie_id AND rt.role = 'actress' AND ci.note = '(voice: English version)' AND mc.company_id = cn.id AND cn.country_code = '[jp]' AND mc.note NOT LIKE '%(USA)%' AND ci.role_id = rt.id AND n1.name LIKE '%Yo%' AND n1.name NOT LIKE '%Yu%' AND mc.note LIKE '%(Japan)%' AND n1.id = ci.person_id AND ci.movie_id = mc.movie_id AND an1.person_id = ci.person_id | job |
SELECT total_revenue, s_address, s_name, s_suppkey, s_phone FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) ORDER BY s_suppkey | tpch |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE mi.movie_id = miidx.movie_id AND cn.country_code = '[de]' AND mi.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND it.info = 'rating' AND mi.movie_id = t.id AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND miidx.movie_id = t.id AND miidx.movie_id = mc.movie_id AND kt.kind = 'movie' AND it2.info = 'release dates' AND cn.id = mc.company_id AND it.id = miidx.info_type_id LIMIT 1000; | job |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND c_nationkey = n1.n_nationkey AND p_type = 1 ) AS all_nations AND s_nationkey = n2.n_nationkey AND s_suppkey = l_suppkey AND l_orderkey = o_orderkey AND p_partkey = l_partkey AND o_custkey = c_custkey AND r_name = 1 AND n1.n_regionkey = r_regionkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT SUM(l_quantity), c_custkey, o_orderkey, o_orderdate, c_name, o_totalprice FROM customer, orders, lineitem WHERE o_orderkey IN ( SELECT l_orderkey FROM lineitem GROUP BY l_orderkey HAVING SUM(l_quantity) > 1 ) AND c_custkey = o_custkey AND o_orderkey = l_orderkey GROUP BY c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice ORDER BY o_totalprice DESC, o_orderdate LIMIT 100 | tpch |
SELECT COUNT(1) FROM comments AS c, posts AS p, users AS u WHERE c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND p.ViewCount >= 0 AND p.FavoriteCount >= 0 AND u.Id = p.OwnerUserId AND p.CommentCount >= 0 AND c.UserId = u.Id LIMIT 200; | stats |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE c_nationkey = n1.n_nationkey AND p_type = 1 ) AS all_nations AND p_partkey = l_partkey AND o_custkey = c_custkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_suppkey = l_suppkey AND s_nationkey = n2.n_nationkey AND r_name = 1 AND l_orderkey = o_orderkey AND n1.n_regionkey = r_regionkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND ct.kind = 'production companies' AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id | job |
Select o_orderdate, c_name, Sum(l_quantity), c_custkey, o_orderkey, o_totalprice From customer, orders, lineitem Where o_orderkey In ( Select l_orderkey From lineitem Group By l_orderkey Having Sum(l_quantity) > 1 ) And c_custkey = o_custkey And o_orderkey = l_orderkey Group By c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice Order By o_totalprice Desc, o_orderdate Limit 100 | tpch |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE rt.role = 'actress' AND ct.id = mc.company_type_id AND t.production_year > 1990 AND t.id = mk.movie_id AND t.id = ci.movie_id AND k.keyword = 'anime' AND cn.id = mc.company_id AND ci.movie_id = mc.movie_id AND ci.note LIKE '%(voice: English version)%' AND an.person_id = n.id AND n.id = ci.person_id AND cn.country_code = '[jp]' AND mc.note LIKE '%(Japan)%' AND mk.movie_id = ci.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.id = mc.movie_id AND mk.movie_id = mc.movie_id AND ci.role_id = rt.id AND k.id = mk.keyword_id AND n.gender = 'f' AND ci.person_id = an.person_id | job |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, users as u where u.Id = p.OwnerUserId AND p.AnswerCount >= 0 AND p.Id = ph.PostId AND p.Id = pl.PostId AND p.PostTypeId = 1 AND p.Id = v.PostId AND p.Id = c.PostId | stats |
select min(t.title) as movie_title from company_name as cn, keyword as k, movie_companies as mc, movie_keyword as mk, title as t where mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = t.id AND k.keyword ='character-name-in-title' AND t.id = mk.movie_id AND cn.country_code ='[nl]' AND cn.id = mc.company_id | job |
SELECT c_count, COUNT(DISTINCT c_count) AS custdist FROM ( SELECT c_custkey, COUNT(o_orderkey) AS c_count FROM customer LEFT OUTER JOIN orders ON c_custkey = o_custkey AND o_comment NOT LIKE 1 GROUP BY c_custkey ) AS c_orders GROUP BY c_count ORDER BY custdist DESC, c_count DESC | tpch |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.id = mc.company_id AND mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND mk.keyword_id = k.id AND cn.country_code ='[de]' AND t.id = mk.movie_id AND k.keyword ='character-name-in-title' LIMIT 200; | job |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND l_suppkey = s_suppkey AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND l_orderkey = o_orderkey AND r_name = 1 AND c_nationkey = s_nationkey AND o_orderdate >= DATE 1 GROUP BY n_name ORDER BY revenue ASC LIMIT 50; | tpch |
SELECT ss_ticket_number, c_last_name, c_preferred_cust_flag, c_salutation, cnt, c_first_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_year IN (2000, 2000, 2003) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.56 AND hd_vehicle_count > 0 AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND s_county IN ('Williamson County', 'Washington County', 'Placer County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl WHERE p.CreationDate >= '2010-07-23 07:27:31'::timestamp AND p.Id = pl.PostId AND p.CommentCount <= 18 AND p.CreationDate <= '2014-09-09 01:43:00'::timestamp AND c.UserId = p.OwnerUserId; | stats |
SELECT c_custkey, c_name, SUM(l_quantity), o_orderdate, o_totalprice, o_orderkey FROM customer, orders, lineitem WHERE o_orderkey IN ( SELECT l_orderkey FROM lineitem GROUP BY l_orderkey HAVING SUM(l_quantity) > 1 ) AND c_custkey = o_custkey AND o_orderkey = l_orderkey GROUP BY c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice ORDER BY o_totalprice DESC, o_orderdate LIMIT 100 | tpch |
WITH _q AS ( SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword LIKE '%sequel%' AND k.id = mk.keyword_id ) SELECT * FROM _q AND t.id = mk.movie_id AND t.id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.production_year > 2000 AND mk.movie_id = mi.movie_id | job |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND pi.note = 'Volker Boehm' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ci.movie_id = ml.linked_movie_id AND n.id = an.person_id AND pi.person_id = an.person_id AND t.id = ci.movie_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.production_year BETWEEN 1980 AND 1995 AND ml.linked_movie_id = t.id AND pi.person_id = ci.person_id AND it.id = pi.info_type_id AND lt.id = ml.link_type_id AND an.person_id = ci.person_id AND it.info = 'mini biography' | job |
Select s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment From part, supplier, partsupp, nation, region Where s_suppkey = ps_suppkey And p_type Like 1 And p_partkey = ps_partkey And ps_supplycost = ( Select Min(ps_supplycost) From partsupp, supplier, nation, region Where p_partkey = ps_partkey And s_suppkey = ps_suppkey And s_nationkey = n_nationkey And n_regionkey = r_regionkey And r_name = 1 ) And r_name = 1 And s_nationkey = n_nationkey And n_regionkey = r_regionkey And p_size = 1 Order By s_acctbal Desc, n_name, s_name, p_partkey Limit 100 | tpch |
SELECT COUNT(sr_return_quantity) AS store_returns_quantitycount, s_state, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, i_item_desc, AVG(ss_quantity) AS store_sales_quantityave, i_item_id FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '2001Q1' AND d2.d_quarter_name IN ('2001Q1', '2000Q2', '1999Q3') AND d3.d_quarter_name IN ('2001Q1', '2000Q2', '1999Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT COUNT(*) AS count_order, SUM(l_extendedprice) AS sum_base_price, l_returnflag, l_linestatus, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_discount) AS avg_disc, AVG(l_quantity) AS avg_qty, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_extendedprice) AS avg_price FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE t.id = mc.movie_id AND n1.name NOT LIKE '%Yu%' AND ci.note = '(voice: English version)' AND ci.role_id = rt.id AND rt.role = 'actress' AND n1.name LIKE '%Yo%' AND mc.note LIKE '%(Japan)%' AND ci.movie_id = mc.movie_id AND cn.country_code = '[jp]' AND ci.movie_id = t.id AND mc.note NOT LIKE '%(USA)%' AND an1.person_id = ci.person_id AND n1.id = ci.person_id AND an1.person_id = n1.id AND mc.company_id = cn.id | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE o_orderstatus = 'F' AND n_name = 1 AND l1.l_receiptdate > l1.l_commitdate AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND s_nationkey = n_nationkey AND o_orderkey = l1.l_orderkey AND s_suppkey = l1.l_suppkey AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT AVG(cs_quantity) AS catalog_sales_quantityave, AVG(ss_quantity) AS store_sales_quantityave, i_item_id, COUNT(ss_quantity) AS store_sales_quantitycount, i_item_desc, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, AVG(sr_return_quantity) AS store_returns_quantityave, s_state FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '2000Q1' AND d2.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') AND d3.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
Select Max(mi.info) As release_date, Max(miidx.info) As rating, Max(t.title) As german_movie From company_name As cn, company_type As ct, info_type As it, info_type As it2, kind_type As kt, movie_companies As mc, movie_info As mi, movie_info_idx As miidx, title As t Where mc.movie_id = t.id And it.info = 'rating' And mi.movie_id = t.id And it.id = miidx.info_type_id And it2.id = mi.info_type_id And mi.movie_id = miidx.movie_id And cn.country_code = '[de]' And miidx.movie_id = t.id And ct.id = mc.company_type_id And mi.movie_id = mc.movie_id And miidx.movie_id = mc.movie_id And kt.kind = 'movie' And ct.kind = 'production companies' And kt.id = t.kind_id And it2.info = 'release dates' And cn.id = mc.company_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b WHERE p.Id = pl.RelatedPostId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 AND b.UserId = c.UserId AND p.Id = v.PostId AND c.Score = 0 AND p.Id = c.PostId LIMIT 20; | stats |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE it2.id = mi.info_type_id AND cn.country_code = '[de]' AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND ct.kind = 'production companies' AND miidx.movie_id = t.id AND miidx.movie_id = mc.movie_id AND it2.info = 'release dates' AND it.id = miidx.info_type_id AND ct.id = mc.company_type_id AND mc.movie_id = t.id AND mi.movie_id = t.id AND kt.id = t.kind_id AND it.info = 'rating' AND mi.movie_id = miidx.movie_id AND kt.kind = 'movie' | job |
SELECT s_store_name, s_store_id, i_item_desc, SUM(cs_quantity) AS catalog_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, SUM(ss_quantity) AS store_sales_quantity, i_item_id FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_moy = 3 AND d1.d_year = 2001 AND d2.d_moy BETWEEN 3 AND 3 + 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 3 AND 3 + 3 AND d3.d_year = 2001 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT i_manufact_id, SUM(ss_ext_sales_price) AS ext_price, i_brand AS brand, i_brand_id AS brand_id, i_manufact FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE d_moy = 12 AND d_year = 1999 AND i_manager_id = 3 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) GROUP BY i_brand, i_brand_id, i_manufact_id, i_manufact ORDER BY ext_price DESC, brand, brand_id, i_manufact_id, i_manufact; | tpcds |
select min(t.title) as russian_movie, min(chn.name) as uncredited_voiced_character from char_name as chn, cast_info as ci, company_name as cn, company_type as ct, movie_companies as mc, role_type as rt, title as t where ci.note like '%(voice)%' AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND cn.country_code = '[ru]' AND t.id = ci.movie_id AND rt.id = ci.role_id AND ci.note like '%(uncredited)%' AND t.id = mc.movie_id AND rt.role = 'actor' AND t.production_year > 2005 | job |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE t.id = ci.movie_id AND pi.person_id = an.person_id AND an.name LIKE '%a%' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND it.info = 'mini biography' AND pi.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id AND lt.link = 'features' AND ci.person_id = n.id AND pi.note = 'Volker Boehm' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND n.id = pi.person_id AND lt.id = ml.link_type_id AND ml.linked_movie_id = t.id AND it.id = pi.info_type_id AND n.id = an.person_id AND t.production_year BETWEEN 1980 AND 1995 AND an.person_id = ci.person_id | job |
select i_manufact, sum(ss_ext_sales_price) as ext_price, i_brand_id as brand_id, i_manufact_id, i_brand as brand from date_dim join store_sales on d_date_sk = ss_sold_date_sk join item on ss_item_sk = i_item_sk join customer on ss_customer_sk = c_customer_sk join customer_address on c_current_addr_sk = ca_address_sk join store on ss_store_sk = s_store_sk where i_manager_id = 77 AND d_year = 2002 AND d_moy = 11 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) group by i_brand, i_brand_id, i_manufact_id, i_manufact order by ext_price ASC, brand, brand_id, i_manufact_id, i_manufact limit 100; | tpcds |
WITH year_total AS ( SELECT c_customer_id AS customer_id, c_login AS customer_login, c_birth_country AS customer_birth_country, c_preferred_cust_flag AS customer_preferred_cust_flag, c_email_address AS customer_email_address, c_last_name AS customer_last_name, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, 's' AS sale_type, d_year AS dyear, c_first_name AS customer_first_name FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
SELECT MAX(ss_net_profit) AS store_sales_profit, i_item_id, i_item_desc, s_store_id, MAX(sr_net_loss) AS store_returns_loss, s_store_name, MAX(cs_net_profit) AS catalog_sales_profit FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 2 AND 8 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 2 AND 8 + 3 AND d3.d_year = 2002 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE p_name LIKE 1 ) AS profit AND s_nationkey = n_nationkey AND ps_partkey = l_partkey AND p_partkey = l_partkey AND s_suppkey = l_suppkey AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT ss_ticket_number, cnt, c_salutation, c_last_name, c_first_name, c_preferred_cust_flag FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_year IN (2001, 2002, 2003) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.37 AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND s_county IN ('Bronz County', 'Barrow County', 'Jackson County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
SELECT AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, i_item_id, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, s_state, i_item_desc, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(sr_return_quantity) AS store_returns_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, COUNT(ss_quantity) AS store_sales_quantitycount, COUNT(cs_quantity) AS catalog_sales_quantitycount FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '2000Q1' AND d2.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') AND d3.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_linestatus, COUNT(*) AS count_order, l_returnflag, SUM(l_extendedprice) AS sum_base_price, AVG(l_extendedprice) AS avg_price, AVG(l_discount) AS avg_disc, AVG(l_quantity) AS avg_qty FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
Select s_phone, s_suppkey, s_name, total_revenue, s_address From supplier, revenue0 Where s_suppkey = supplier_no And total_revenue = ( Select Max(total_revenue) From revenue0 ) Order By s_suppkey | tpch |
WITH _q AS ( select l_returnflag, l_linestatus, sum(l_quantity) as sum_qty, sum(l_extendedprice) as sum_base_price, sum(l_extendedprice * (1 - l_discount)) as sum_disc_price, sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) as sum_charge, avg(l_quantity) as avg_qty, avg(l_extendedprice) as avg_price, avg(l_discount) as avg_disc, count(*) as count_order from lineitem where l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY group by l_returnflag, l_linestatus order by l_returnflag, l_linestatus ) SELECT * FROM _q; | tpch |
SELECT c_first_name, ss_ticket_number, c_last_name, bought_city, extended_price, ca_city, extended_tax, list_price FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 5 OR hd_vehicle_count = 0) AND d_dow IN (6, 0) AND d_year IN (2000, 2002, 2001) AND s_city IN ('Clinton', 'Oak Grove') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE mi.movie_id = mc.movie_id AND it1.info = 'rating' AND at.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND t.id = at.movie_id AND t.id = mi_idx.movie_id AND at.movie_id = mi_idx.movie_id AND at.title LIKE '%Champion%' AND t.production_year > 2000 AND it1.id = mi_idx.info_type_id AND mi_idx.info < '3.5' AND mi.info LIKE 'USA:%200%' AND cn.id = mc.company_id AND t.id = mi.movie_id AND mi_idx.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND kt.kind = 'movie' AND cn.country_code = '[us]' AND it2.info = 'release dates' AND t.id = mc.movie_id AND at.movie_id = mi.movie_id AND kt.id = t.kind_id | job |
Select p_brand, p_type, p_size, Count(Distinct ps_suppkey) As supplier_cnt From partsupp, part Where p_type Not Like 1 And p_partkey = ps_partkey And p_brand != 1 And ps_suppkey Not In ( Select s_suppkey From supplier Where s_comment Like '%Customer%Complaints%' ) And p_size In (1, 1, 1, 1, 1, 1, 1, 1) Group By p_brand, p_type, p_size Order By supplier_cnt Desc, p_brand, p_type, p_size | tpch |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE hd_vehicle_count > 0 AND s_county IN ('Williamson County', 'Barrow County', 'Placer County') AND d_year IN (2001, 2000, 2002) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.85 AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
Select Min(t.title) As movie_title From company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, title As t Where cn.country_code ='[nl]' AND cn.id = mc.company_id AND t.id = mk.movie_id AND mc.movie_id = t.id AND mk.keyword_id = k.id AND k.keyword ='character-name-In-title' AND mc.movie_id = mk.movie_id | job |
SELECT o_year, nation, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE p_partkey = l_partkey AND ps_partkey = l_partkey AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey AND s_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE ps_partkey = l_partkey AND s_suppkey = l_suppkey AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND p_partkey = l_partkey AND s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year ASC | tpch |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE t.id = mi.movie_id AND ci.person_id = an.person_id AND t.id = mc.movie_id AND it.id = mi.info_type_id AND ci.movie_id = mc.movie_id AND mi.movie_id = ci.movie_id AND t.id = ci.movie_id AND t.production_year > 2000 AND mc.note LIKE '%(USA)%' AND n.gender = 'f' AND cn.id = mc.company_id AND cn.country_code = '[us]' AND chn.id = ci.person_role_id AND n.id = ci.person_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND rt.role = 'actress' AND an.person_id = n.id AND it.info = 'release dates' AND ci.role_id = rt.id AND mi.movie_id = mc.movie_id | job |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where mk.movie_id = mi.movie_id and mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') and t.id = mi.movie_id and t.production_year > 2000 and t.id = mk.movie_id and k.id = mk.keyword_id and k.keyword like '%sequel%' | job |
select min(an.name) as cool_actor_pseudonym, min(t.title) as series_named_after_char from aka_name as an, cast_info as ci, company_name as cn, keyword as k, movie_companies as mc, movie_keyword as mk, name as n, title as t where an.person_id = ci.person_id AND ci.movie_id = mk.movie_id AND mk.keyword_id = k.id AND t.episode_nr >= 50 AND cn.country_code = '[us]' AND t.id = mc.movie_id AND t.episode_nr < 100 AND k.keyword = 'character-name-in-title' AND ci.movie_id = t.id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND an.person_id = n.id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND n.id = ci.person_id | job |
SELECT i_item_desc, SUM(cs_quantity) AS catalog_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, SUM(ss_quantity) AS store_sales_quantity, s_store_name, s_store_id, i_item_id FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_moy = 5 AND d1.d_year = 2000 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d2.d_year = 2000 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d3.d_year = 2000 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE p.Id = v.PostId AND b.UserId = u.Id AND p.Id = ph.PostId AND pl.LinkTypeId = 1 AND p.Id = c.PostId AND c.UserId = u.Id AND p.Id = pl.RelatedPostId AND p.Score <= 40 | stats |
SELECT c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_comment FROM customer, orders, lineitem, nation WHERE o_orderdate < DATE 1 + INTERVAL '3' MONTH AND c_custkey = o_custkey AND o_orderdate >= DATE 1 AND l_orderkey = o_orderkey AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC; | tpch |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE ci.person_id = n.id AND t.id = ci.movie_id AND t.production_year BETWEEN 1980 AND 1995 AND n.id = an.person_id AND an.person_id = ci.person_id AND lt.id = ml.link_type_id AND ci.movie_id = ml.linked_movie_id AND pi.note = 'Volker Boehm' AND it.id = pi.info_type_id AND n.id = pi.person_id AND lt.link = 'features' AND pi.person_id = ci.person_id AND it.info = 'mini biography' AND ml.linked_movie_id = t.id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND an.name LIKE '%a%' AND pi.person_id = an.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' | job |
Select Min(mi.info) As release_date, Min(miidx.info) As rating, Min(t.title) As german_movie From company_name As cn, company_type As ct, info_type As it, info_type As it2, kind_type As kt, movie_companies As mc, movie_info As mi, movie_info_idx As miidx, title As t Where cn.country_code = '[de]' And miidx.movie_id = t.id And it.id = miidx.info_type_id And miidx.movie_id = mc.movie_id And it2.info = 'release dates' And mc.movie_id = t.id And ct.id = mc.company_type_id And mi.movie_id = mc.movie_id And kt.kind = 'movie' And mi.movie_id = t.id And ct.kind = 'production companies' And it2.id = mi.info_type_id And kt.id = t.kind_id And mi.movie_id = miidx.movie_id And cn.id = mc.company_id And it.info = 'rating' | job |
select count(*) from comments as c, posts as p, votes as v, users as u where u.Id = v.UserId and p.Score >= 0 and u.Id = c.UserId and p.ViewCount >= 0 and u.Id = p.OwnerUserId and c.Score = 0 limit 10; | stats |
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