text stringlengths 84 1.49k | benchmark stringclasses 4
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SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND o_orderstatus = 'F' AND l1.l_receiptdate > l1.l_commitdate AND n_name = 1 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 ) AND o_orderkey = l1.l_orderkey AND s_nationkey = n_nationkey AND s_suppkey = l1.l_suppkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | 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 lt.id = ml.link_type_id AND it.info = 'mini biography' AND pi.person_id = an.person_id AND n.id = an.person_id AND t.id = ci.movie_id AND it.id = pi.info_type_id AND an.person_id = ci.person_id AND an.name LIKE '%a%' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND pi.note = 'Volker Boehm' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ci.person_id = n.id AND pi.person_id = ci.person_id AND t.production_year BETWEEN 1980 AND 1995 AND n.id = pi.person_id AND ci.movie_id = ml.linked_movie_id AND ml.linked_movie_id = t.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 r_name = 1 AND l_orderkey = o_orderkey AND s_suppkey = l_suppkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND o_custkey = c_custkey AND p_partkey = l_partkey AND n1.n_regionkey = r_regionkey AND p_type = 1 ) AS all_nations AND c_nationkey = n1.n_nationkey AND s_nationkey = n2.n_nationkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE n_name = 1 AND l1.l_receiptdate > l1.l_commitdate AND s_nationkey = n_nationkey 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 ) AND o_orderstatus = 'F' AND o_orderkey = l1.l_orderkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | 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 pi.person_id = ci.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND an.person_id = ci.person_id AND n.name_pcode_cf >= 'A' AND n.name_pcode_cf <= 'F' AND t.id = ci.movie_id AND an.name LIKE '%a%' AND ci.person_id = n.id AND pi.note = 'Volker Boehm' AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND lt.link = 'features' AND it.info = 'mini biography' AND ci.movie_id = ml.linked_movie_id AND n.id = pi.person_id AND ml.linked_movie_id = t.id AND t.production_year BETWEEN 1980 AND 1995 AND n.id = an.person_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 s_suppkey = l_suppkey AND p_type = 1 ) AS all_nations AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_nationkey = n2.n_nationkey AND n1.n_regionkey = r_regionkey AND c_nationkey = n1.n_nationkey AND r_name = 1 AND o_custkey = c_custkey AND l_orderkey = o_orderkey AND p_partkey = l_partkey 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 it.info = 'top 250 rank' AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
with _q as ( 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_commitdate < l_receiptdate and l_shipdate < l_commitdate and l_receiptdate >= DATE 1 and l_receiptdate < DATE 1 + INTERVAL '1' YEAR group by l_shipmode order by l_shipmode ) select * from _q; | 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 mc.note not like '%(USA)%' AND mc.company_id = cn.id AND n1.name like '%Yo%' AND an1.person_id = ci.person_id AND cn.country_code = '[jp]' AND n1.name not like '%Yu%' AND ci.movie_id = mc.movie_id AND mc.note like '%(Japan)%' AND t.id = mc.movie_id AND ci.role_id = rt.id AND n1.id = ci.person_id AND an1.person_id = n1.id AND ci.note = '(voice: English version)' AND rt.role = 'actress' AND ci.movie_id = t.id | 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 k.keyword = 'character-name-in-title' AND n.id = ci.person_id AND an.person_id = ci.person_id AND cn.country_code = '[us]' AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND t.id = mk.movie_id AND mc.company_id = cn.id AND mk.keyword_id = k.id AND ci.movie_id = mk.movie_id AND ci.movie_id = t.id AND t.episode_nr >= 50 AND mc.movie_id = mk.movie_id AND an.person_id = n.id AND t.episode_nr < 100 | job |
SELECT p_size, p_brand, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_type FROM partsupp, part WHERE p_partkey = ps_partkey AND p_brand != 1 AND p_type NOT LIKE 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt ASC, p_brand, p_type, p_size | 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 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 s_nationkey = n1.n_nationkey AND o_orderkey = l_orderkey AND c_custkey = o_custkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_suppkey = l_suppkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT c_preferred_cust_flag, c_salutation, c_last_name, ss_ticket_number, c_first_name, 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 d_dom BETWEEN 1 AND 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND d_year IN (2001, 2000, 2003) AND s_county IN ('Franklin County', 'Jefferson 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 ASC LIMIT 1000; | tpcds |
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_dom >= 1 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND d_year IN (1999, 2002, 2001) AND d_dom <= 2 AND s_county IN ('Williamson County', 'Jefferson County', 'Jackson County', 'Champaign 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 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 t.id = mc.movie_id AND ci.movie_id = mk.movie_id AND mk.keyword_id = k.id AND k.keyword = 'character-name-in-title' AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND ci.movie_id = t.id AND an.person_id = ci.person_id AND n.id = ci.person_id AND mc.company_id = cn.id AND t.episode_nr < 100 AND cn.country_code = '[us]' AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND t.episode_nr >= 50 | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.Id = pl.PostId AND p.Id = ph.PostId AND p.AnswerCount >= 0 AND u.Id = p.OwnerUserId AND p.PostTypeId = 1 AND p.Id = c.PostId AND p.Id = v.PostId | stats |
Select Sum(cr_net_loss) As returns_loss, cc_name As call_center_name, cc_manager As manager, cc_call_center_id As call_center From call_center Join catalog_returns On cr_call_center_sk = cc_call_center_sk Join date_dim On cr_returned_date_sk = d_date_sk Join customer On cr_returning_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join customer_demographics On cr_returning_cdemo_sk = cd_demo_sk Join household_demographics On cr_returning_hdemo_sk = hd_demo_sk Where d_year = 1999 And d_moy = 11 And ( (cd_marital_status = 'S' And cd_education_status = 'Advanced Degree') Or (hd_buy_potential Like '0-500%' And ca_gmt_offset = -5) ) And ca_gmt_offset = -5 Group By cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status Order By returns_loss Asc Limit 100; | tpcds |
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 ct.id = mc.company_type_id AND it.id = mi_idx.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'countries' AND mc.movie_id = mi_idx.movie_id AND it1.id = mi.info_type_id AND ct.id = mc.company_type_id AND mk.movie_id = mc.movie_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.id = mk.movie_id AND cn.id = mc.company_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND t.id = mi_idx.movie_id AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND cn.country_code != '[us]' AND it2.info = 'rating' AND t.production_year > 2008 AND mi_idx.info < '7.0' AND mk.movie_id = mi_idx.movie_id AND kt.kind IN ('movie', 'episode') AND k.id = mk.keyword_id AND mi.movie_id = mc.movie_id AND kt.id = t.kind_id AND it2.id = mi_idx.info_type_id AND mc.note LIKE '%(200%)%' | job |
SELECT p_type, p_brand, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_partkey = ps_partkey AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_type NOT LIKE 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_brand <> 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
Select Min(t.title) As movie_title, Min(mc.note) As production_note, 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 And t.id = mi_idx.movie_id And it.info = 'top 250 rank' And ct.kind = 'production companies' And (mc.note Like '%(co-production)%' Or mc.note Like '%(presents)%') And mc.movie_id = mi_idx.movie_id And ct.id = mc.company_type_id And t.id = mc.movie_id And mc.note Not Like '%(As Metro-Goldwyn-Mayer Pictures)%' | 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 k.keyword = 'anime' AND mk.movie_id = ci.movie_id AND cn.country_code = '[jp]' AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND ci.person_id = an.person_id AND mc.note LIKE '%(Japan)%' AND k.id = mk.keyword_id AND ci.movie_id = mc.movie_id AND t.id = mk.movie_id AND t.production_year > 1990 AND an.person_id = n.id AND ci.role_id = rt.id AND t.id = ci.movie_id AND cn.id = mc.company_id AND n.id = ci.person_id AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = mc.movie_id AND ci.note LIKE '%(voice: English version)%' AND n.gender = 'f' AND rt.role = 'actress' | 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 cn.country_code = '[jp]' AND k.keyword = 'anime' AND rt.role = 'actress' AND t.id = mk.movie_id AND n.id = ci.person_id AND n.gender = 'f' AND t.id = mc.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND t.production_year > 1990 AND mc.note NOT LIKE '%(USA)%' AND ci.role_id = rt.id AND an.person_id = n.id AND ci.note LIKE '%(voice: English version)%' AND ci.person_id = an.person_id AND t.id = ci.movie_id AND ct.id = mc.company_type_id AND mc.note LIKE '%(Japan)%' AND mk.movie_id = ci.movie_id AND cn.id = mc.company_id AND ci.movie_id = mc.movie_id | job |
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 o_orderkey = l_orderkey AND s_suppkey = l_suppkey 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 c_custkey = o_custkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT c_comment, c_acctbal, c_custkey, c_name, n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_address, c_phone FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH 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 LIMIT 20 | tpch |
SELECT SUM(l_extendedprice * l_discount) AS revenue FROM lineitem WHERE l_shipdate < DATE 1 + INTERVAL '1' YEAR AND l_quantity < 1 AND l_shipdate >= DATE 1 AND l_discount BETWEEN 1 - 0.01 AND 1 + 0.01 | tpch |
SELECT c_acctbal, n_name, c_address, c_custkey, c_phone, c_name, c_comment, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH 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 ASC LIMIT 20 | tpch |
select ca_zip, sum(cs_sales_price) from catalog_sales INNER JOIN customer on cs_bill_customer_sk = c_customer_sk INNER JOIN customer_address on c_current_addr_sk = ca_address_sk INNER JOIN date_dim on cs_sold_date_sk = d_date_sk where d_year = 2000 and (SUBSTR(ca_zip, 1, 5) in ( '85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792' ) or ca_state in ('TX', 'NY', 'FL') or cs_sales_price > 378) and d_qoy = 4 group by ca_zip order by ca_zip limit 100; | tpcds |
Select Max(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 k.id = mk.keyword_id And t.id = mk.movie_id And t.production_year > 2010 And k.keyword Like '%sequel%' And t.id = mi.movie_id And mi.info In ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') | job |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE c.UserId = u.Id AND b.UserId = u.Id AND pl.LinkTypeId = 1 AND p.Id = ph.PostId AND p.Id = pl.RelatedPostId AND p.Id = c.PostId AND p.Id = v.PostId AND p.Score <= 40 | stats |
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 t.id = mc.movie_id AND it1.id = mi_idx.info_type_id AND t.id = mi.movie_id AND mi.info LIKE 'USA:%200%' AND mi.movie_id = mi_idx.movie_id AND kt.kind = 'movie' AND at.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND at.movie_id = mi.movie_id AND t.production_year > 2000 AND it1.info = 'rating' AND mi_idx.info < '3.5' AND it2.id = mi.info_type_id AND mi_idx.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND it2.info = 'release dates' AND at.title LIKE '%Champion%' AND cn.country_code = '[us]' AND t.id = mi_idx.movie_id AND kt.id = t.kind_id AND t.id = at.movie_id AND cn.id = mc.company_id | job |
WITH year_total AS ( SELECT c_email_address AS customer_email_address, c_login AS customer_login, c_birth_country AS customer_birth_country, d_year AS dyear, 's' AS sale_type, c_last_name AS customer_last_name, c_first_name AS customer_first_name, c_customer_id AS customer_id, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_preferred_cust_flag AS customer_preferred_cust_flag FROM customer INNER JOIN store_sales ON c_customer_sk = ss_customer_sk INNER 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 INNER 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 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 n.gender = 'f' AND ci.note like '%(voice: English version)%' AND t.id = mc.movie_id AND mc.note like '%(Japan)%' AND ci.role_id = rt.id AND mk.movie_id = ci.movie_id AND k.id = mk.keyword_id AND n.id = ci.person_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND ci.person_id = an.person_id AND rt.role = 'actress' AND t.production_year > 1990 AND mc.note not like '%(USA)%' AND mk.movie_id = mc.movie_id AND an.person_id = n.id AND t.id = mk.movie_id AND k.keyword = 'anime' AND cn.country_code = '[jp]' AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id | job |
WITH _q AS ( 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 ) SELECT * FROM _q AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND k.id = mk.keyword_id AND n.name LIKE '%Hemsworth%Chris%' AND t.production_year > 2010 AND t.id = mk.movie_id | job |
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 l_commitdate < l_receiptdate And l_shipmode In (1, 1) And o_orderkey = l_orderkey And l_shipdate < l_commitdate And l_receiptdate >= DATE 1 And l_receiptdate < DATE 1 + INTERVAL '1' YEAR Group By l_shipmode Order By l_shipmode | tpch |
SELECT i_item_desc, i_current_price, i_item_id FROM item JOIN inventory ON i_item_sk = inv_item_sk JOIN date_dim ON d_date_sk = inv_date_sk JOIN store_sales ON ss_item_sk = i_item_sk WHERE i_manufact_id = ANY(ARRAY[427, 128, 154, 9]) AND i_current_price BETWEEN 80 AND 80 + 30 AND inv_quantity_on_hand BETWEEN 100 AND 500 AND d_date BETWEEN CAST('2002-01-23' AS DATE) AND (CAST('2002-01-23' AS DATE) + INTERVAL '60 days') GROUP BY i_item_id, i_item_desc, i_current_price ORDER BY i_item_id LIMIT 100; | tpcds |
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 t.id = mc.movie_id AND it.id = mi.info_type_id AND it.info = 'bottom 10 rank' AND mc.movie_id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi.movie_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.name LIKE '%Downey%Robert%' AND t.id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND k.id = mk.keyword_id AND n.id = ci.person_id AND t.production_year > 2010 AND ci.movie_id = mk.movie_id AND t.id = ci.movie_id | job |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE t.production_year > 2008 AND mc.note LIKE '%(200%)%' AND it1.info = 'countries' AND it2.id = mi_idx.info_type_id AND cn.id = mc.company_id AND kt.id = t.kind_id AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND k.id = mk.keyword_id AND mi.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND kt.kind IN ('movie', 'episode') AND t.id = mi_idx.movie_id AND cn.country_code != '[us]' AND ct.id = mc.company_type_id AND t.id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND it1.id = mi.info_type_id AND it2.info = 'rating' AND mi_idx.info < '7.0' AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id | 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 pl.LinkTypeId = 1 AND p.Id = ph.PostId AND c.UserId = u.Id AND p.Id = c.PostId AND p.Id = v.PostId AND p.Score <= 40 AND p.Id = pl.RelatedPostId | stats |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, postHistory AS ph, badges AS b, votes AS v, users AS u WHERE ph.PostHistoryTypeId = 12 AND u.UpVotes = 0 ) SELECT * FROM _q AND b.UserId = ph.UserId AND v.UserId = c.UserId AND ph.UserId = v.UserId AND u.Id = b.UserId LIMIT 500; | 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 s_suppkey = l_suppkey AND c_custkey = o_custkey AND c_nationkey = n2.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 o_orderkey = l_orderkey AND s_nationkey = n1.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
select sum(l_extendedprice * (1 - l_discount)) as sum_disc_price, l_returnflag, avg(l_discount) as avg_disc, l_linestatus, sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) as sum_charge, count(*) as count_order, sum(l_extendedprice) as sum_base_price, sum(l_quantity) as sum_qty, avg(l_extendedprice) as avg_price, 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 |
WITH year_total AS ( SELECT c_customer_id AS customer_id, c_first_name AS customer_first_name, c_preferred_cust_flag AS customer_preferred_cust_flag, c_email_address AS customer_email_address, c_login AS customer_login, c_last_name AS customer_last_name, 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, d_year AS dyear, 's' AS sale_type 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 i_item_id, i_item_desc, s_store_id, s_store_name, Max(ss_net_profit) As store_sales_profit, Max(sr_net_loss) As store_returns_loss, 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_year = 2001 AND d3.d_year = 2001 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 2 AND 8 + 3 AND d1.d_moy BETWEEN 2 AND 8 AND d2.d_moy BETWEEN 2 AND 8 + 3 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 AVG(cs_list_price) AS agg2, AVG(cs_sales_price) AS agg4, AVG(cs_quantity) AS agg1, AVG(cs_coupon_amt) AS agg3, i_item_id 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 cd_education_status = 'Advanced Degree' AND cd_marital_status = 'S' AND cd_gender = 'M' AND d_year = 2002 AND (p_channel_email = 'N' OR p_channel_event = 'N') GROUP BY i_item_id ORDER BY i_item_id 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.id = mc.company_id AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mk.movie_id AND mc.movie_id = t.id AND k.keyword ='character-name-IN-title' AND cn.country_code ='[de]' | job |
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 l_commitdate < l_receiptdate And o_orderkey = l_orderkey And l_receiptdate < DATE 1 + INTERVAL '1' YEAR And l_receiptdate >= DATE 1 And l_shipdate < l_commitdate And l_shipmode In (1, 1) Group By l_shipmode Order By l_shipmode | 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 t.id = mc.movie_id AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND t.id = mi.movie_id AND it.info = 'bottom 10 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi.info_type_id | job |
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 o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) 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 LIMIT 10; | tpch |
SELECT n_name, c_phone, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_comment, c_name, c_custkey, c_address, c_acctbal FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH 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 LIMIT 20 | tpch |
SELECT MIN(t.title) AS german_movie, MIN(mi.info) AS release_date, MIN(miidx.info) AS rating 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 mc.movie_id = t.id AND miidx.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND kt.kind = 'movie' AND ct.kind = 'production companies' AND it2.id = mi.info_type_id AND mi.movie_id = t.id AND kt.id = t.kind_id AND miidx.movie_id = t.id AND it2.info = 'release dates' AND ct.id = mc.company_type_id AND mi.movie_id = miidx.movie_id AND cn.id = mc.company_id AND it.info = 'rating' AND it.id = miidx.info_type_id | job |
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 ct.id = mc.company_type_id AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id 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 it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND t.id = mi_idx.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 n.id = pi.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND an.person_id = ci.person_id AND t.production_year BETWEEN 1980 AND 1995 AND it.info = 'mini biography' AND pi.person_id = an.person_id AND lt.link = 'features' AND n.id = an.person_id AND it.id = pi.info_type_id AND ci.person_id = n.id AND lt.id = ml.link_type_id AND pi.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND t.id = ci.movie_id AND pi.note = 'Volker Boehm' AND ml.linked_movie_id = t.id LIMIT 50; | job |
SELECT SUM(sr_return_quantity) AS store_returns_quantity, i_item_desc, SUM(ss_quantity) AS store_sales_quantity, SUM(cs_quantity) AS catalog_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 = 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 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 t.id = mi.movie_id AND k.id = mk.keyword_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.production_year > 2000 AND t.id = mk.movie_id AND k.keyword LIKE '%sequel%' | job |
SELECT s_phone, s_name, s_address, total_revenue, s_suppkey FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) ORDER BY s_suppkey LIMIT 1000; | tpch |
SELECT MIN(t.title) AS northamerican_movie, MIN(mi_idx.info) AS rating 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 = mi_idx.movie_id AND t.id = mi_idx.movie_id AND cn.country_code = '[us]' AND it1.id = mi_idx.info_type_id AND t.production_year > 2000 AND at.movie_id = mc.movie_id AND at.movie_id = mi.movie_id AND it2.id = mi.info_type_id AND cn.id = mc.company_id AND at.title LIKE '%Champion%' AND at.movie_id = mi_idx.movie_id AND it2.info = 'release dates' AND mi.info LIKE 'USA:%200%' AND t.id = mc.movie_id AND kt.id = t.kind_id AND mi_idx.info < '3.5' AND kt.kind = 'movie' AND it1.info = 'rating' AND t.id = at.movie_id AND t.id = mi.movie_id AND mi_idx.movie_id = mc.movie_id AND mi.movie_id = mc.movie_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 t.production_year > 2010 AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' AND n.name LIKE '%Hemsworth%Chris%' AND t.id = mk.movie_id AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id | job |
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_idx.info < '3.5' AND t.id = mc.movie_id AND it1.info = 'rating' AND at.movie_id = mi.movie_id AND t.id = mi_idx.movie_id AND cn.id = mc.company_id AND t.id = mi.movie_id AND at.movie_id = mc.movie_id AND at.title LIKE '%Champion%' AND mi.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND t.production_year > 2000 AND at.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND kt.kind = 'movie' AND t.id = at.movie_id AND mi_idx.movie_id = mc.movie_id AND kt.id = t.kind_id AND it2.info = 'release dates' AND cn.country_code = '[us]' AND it1.id = mi_idx.info_type_id AND mi.info LIKE 'USA:%200%' | job |
WITH _q AS ( SELECT COUNT(1) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE p.Id = c.PostId AND p.ViewCount >= 0 ) SELECT * FROM _q AND u.Id = b.UserId AND u.Id = p.OwnerUserId AND p.Id = ph.PostId AND p.Id = v.PostId AND p.Score <= 192 | stats |
SELECT i_item_id, AVG(cs_quantity) AS agg1, AVG(cs_sales_price) AS agg4, AVG(cs_list_price) AS agg2, AVG(cs_coupon_amt) AS agg3 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 cd_gender = 'M' AND cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND d_year = 1999 GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT item.i_brand AS brand, dt.d_year, SUM(ss_ext_sales_price) AS sum_agg, item.i_brand_id AS brand_id FROM date_dim AS dt JOIN store_sales ON dt.d_date_sk = store_sales.ss_sold_date_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE item.i_manufact_id = 266 AND dt.d_moy = 12 GROUP BY dt.d_year, item.i_brand, item.i_brand_id ORDER BY dt.d_year, sum_agg DESC, brand_id LIMIT 100; | tpcds |
SELECT extended_price, ss_ticket_number, extended_tax, bought_city, ca_city, list_price, c_first_name, c_last_name 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 = 6 OR hd_vehicle_count = 2) AND d_dow IN (6, 0) AND d_year IN (2001, 2000, 2002) AND s_city IN ('Five Points', 'Springfield') 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 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_partkey = l_partkey AND o_custkey = c_custkey AND l_orderkey = o_orderkey AND n1.n_regionkey = r_regionkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_suppkey = l_suppkey AND r_name = 1 AND p_type = 1 ) AS all_nations AND c_nationkey = n1.n_nationkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT c_custkey, SUM(l_quantity), c_name, o_orderkey, o_orderdate, 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(t.production_year) AS movie_year, MIN(t.title) AS movie_title, MIN(mc.note) AS production_note FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE it.info = 'top 250 rank' AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
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 t.id = mi.movie_id AND at.movie_id = mc.movie_id AND mi_idx.movie_id = mc.movie_id AND kt.id = t.kind_id AND it2.info = 'release dates' AND at.title like '%Champion%' AND it1.info = 'rating' AND t.production_year > 2000 AND t.id = mc.movie_id AND it2.id = mi.info_type_id AND cn.id = mc.company_id AND mi.movie_id = mi_idx.movie_id AND at.movie_id = mi.movie_id AND t.id = mi_idx.movie_id AND mi_idx.info < '3.5' AND cn.country_code = '[us]' AND t.id = at.movie_id AND it1.id = mi_idx.info_type_id AND kt.kind = 'movie' AND at.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.info like 'USA:%200%' | job |
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 p_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND ps_suppkey = l_suppkey AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | 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 cn.country_code = '[ru]' AND t.id = ci.movie_id AND rt.role = 'actor' AND ci.note LIKE '%(voice)%' AND chn.id = ci.person_role_id AND cn.id = mc.company_id AND rt.id = ci.role_id AND t.id = mc.movie_id AND ci.note LIKE '%(uncredited)%' AND t.production_year > 2005 AND ci.movie_id = mc.movie_id AND ct.id = mc.company_type_id | job |
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 = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND k.keyword ='character-name-IN-title' AND cn.id = mc.company_id AND cn.country_code ='[sm]' | job |
select ps_partkey, sum(ps_supplycost * ps_availqty) as VALUE from partsupp, supplier, nation where ps_suppkey = s_suppkey and s_nationkey = n_nationkey and n_name = 1 group by ps_partkey having sum(ps_supplycost * ps_availqty) > ( select sum(ps_supplycost * ps_availqty) * 1 from partsupp, supplier, nation where ps_suppkey = s_suppkey and s_nationkey = n_nationkey and n_name = 1 ) order by VALUE desc limit 200; | 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 lt.id = ml.link_type_id AND it.id = pi.info_type_id AND an.name LIKE '%a%' AND ml.linked_movie_id = t.id AND pi.person_id = ci.person_id AND t.id = ci.movie_id AND it.info = 'mini biography' AND an.person_id = ci.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND t.production_year BETWEEN 1980 AND 1995 AND lt.link = 'features' AND pi.note = 'Volker Boehm' AND n.id = pi.person_id AND ci.person_id = n.id AND pi.person_id = an.person_id AND ci.movie_id = ml.linked_movie_id AND n.id = an.person_id | job |
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 t.production_year > 2000 AND cn.country_code = '[us]' AND at.movie_id = mc.movie_id AND it2.info = 'release dates' AND t.id = mi_idx.movie_id AND t.id = mi.movie_id AND mi.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND t.id = mc.movie_id AND kt.id = t.kind_id AND mi.info LIKE 'USA:%200%' AND at.title LIKE '%Champion%' AND mi_idx.info < '3.5' AND kt.kind = 'movie' AND at.movie_id = mi.movie_id AND t.id = at.movie_id AND mi_idx.movie_id = mc.movie_id AND it1.info = 'rating' AND cn.id = mc.company_id AND mi.movie_id = mi_idx.movie_id AND it1.id = mi_idx.info_type_id AND at.movie_id = mi_idx.movie_id | job |
select count(*) from comments as c, postHistory as ph, badges as b, votes as v, users as u where ph.PostHistoryTypeId = 12 AND u.UpVotes = 0 AND u.Id = b.UserId AND b.UserId = ph.UserId AND v.UserId = c.UserId AND ph.UserId = v.UserId | 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 n.id = ci.person_id AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND t.id = ci.movie_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND k.id = mk.keyword_id LIMIT 100; | job |
SELECT l_orderkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, o_shippriority FROM customer, orders, lineitem WHERE l_orderkey = o_orderkey AND c_custkey = o_custkey AND o_orderdate < DATE 1 AND l_shipdate > DATE 1 AND c_mktsegment = 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue ASC, o_orderdate; | tpch |
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 ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND t.episode_nr < 100 AND an.person_id = n.id AND an.person_id = ci.person_id AND mk.keyword_id = k.id AND n.id = ci.person_id AND t.id = mc.movie_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND k.keyword = 'character-name-in-title' AND mc.movie_id = mk.movie_id AND mc.company_id = cn.id AND t.episode_nr >= 50 AND cn.country_code = '[us]' LIMIT 10; | job |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE o_orderdate >= DATE 1 AND r_name = 1 AND s_nationkey = n_nationkey AND l_orderkey = o_orderkey AND l_suppkey = s_suppkey AND c_nationkey = s_nationkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND c_custkey = o_custkey AND n_regionkey = r_regionkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100, promotions, total FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE s_gmt_offset = -6 AND d_year = 2002 AND d_year = 2002 AND i_category = 'Jewelry' AND s_gmt_offset = -6 AND i_category = 'Jewelry' AND ca_gmt_offset = -6 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_moy = 12 ) AS all_sales AND d_moy = 12 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -6 ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN promotion ON ss_promo_sk = p_promo_sk INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN customer ON ss_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = ca_address_sk INNER JOIN item ON ss_item_sk = i_item_sk WHERE s_gmt_offset = -5 AND ca_gmt_offset = -5 AND d_year = 2001 AND d_moy = 8 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN customer ON ss_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = ca_address_sk INNER JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -5 AND d_year = 2001 AND d_moy = 8 ) AS all_sales AND i_category = 'Jewelry' AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND i_category = 'Jewelry' AND s_gmt_offset = -5 ORDER BY promotions, total 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_returnflag = 'R' AND c_custkey = o_custkey AND c_nationkey = n_nationkey AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH 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 i_item_id, Avg(ss_quantity) As agg1, Avg(ss_list_price) As agg2, Avg(ss_coupon_amt) As agg3, Avg(ss_sales_price) As agg4 From store_sales Join customer_demographics On ss_cdemo_sk = cd_demo_sk Join date_dim On ss_sold_date_sk = d_date_sk Join item On ss_item_sk = i_item_sk Join promotion On ss_promo_sk = p_promo_sk Where d_year = 2002 And (p_channel_email = 'N' Or p_channel_event = 'N') And cd_gender = 'M' And cd_education_status = 'Unknown' And cd_marital_status = 'D' Group By i_item_id Order By i_item_id Limit 100; | tpcds |
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 t.id = mc.movie_id AND t.id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'bottom 10 rank' AND ct.id = mc.company_type_id AND it.id = mi.info_type_id | 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 it.info = 'rating' AND miidx.movie_id = t.id AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND it2.id = mi.info_type_id AND it2.info = 'release dates' AND it.id = miidx.info_type_id AND mi.movie_id = t.id AND cn.country_code = '[de]' AND miidx.movie_id = mc.movie_id AND mi.movie_id = miidx.movie_id AND kt.id = t.kind_id AND ct.kind = 'production companies' AND kt.kind = 'movie' AND ct.id = mc.company_type_id AND mc.movie_id = t.id | job |
SELECT extended_tax, ca_city, ss_ticket_number, bought_city, list_price, c_first_name, c_last_name, extended_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 = 4 OR hd_vehicle_count = 4) AND d_dow IN (6, 0) AND d_year IN (2001, 2000, 2001) AND s_city IN ('Clinton', 'Glendale') 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 i_item_id, avg(cs_quantity) as agg1, avg(cs_list_price) as agg2, avg(cs_coupon_amt) as agg3, avg(cs_sales_price) as agg4 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 d_year = 2002 AND (p_channel_email = 'N' or p_channel_event = 'N') AND cd_education_status = 'Advanced Degree' AND cd_marital_status = 'S' AND cd_gender = 'M' group by i_item_id order by i_item_id limit 100; | tpcds |
SELECT AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(sr_return_quantity) AS store_returns_quantitycount, i_item_desc, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, i_item_id, AVG(ss_quantity) AS store_sales_quantityave, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, s_state, COUNT(cs_quantity) AS catalog_sales_quantitycount, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev 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 l_orderkey, Sum(l_extendedprice * (1 - l_discount)) As revenue, o_orderdate, o_shippriority From customer, orders, lineitem Where c_mktsegment = 1 AND c_custkey = o_custkey AND l_shipdate > DATE 1 AND o_orderdate < DATE 1 AND l_orderkey = o_orderkey Group By l_orderkey, o_orderdate, o_shippriority Order By revenue Desc, o_orderdate Limit 10 | tpch |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE t.id = mi_idx.movie_id AND t.id = mi.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.country_code != '[us]' AND kt.kind IN ('movie', 'episode') AND kt.id = t.kind_id AND it2.info = 'rating' AND mk.movie_id = mi_idx.movie_id AND t.id = mk.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND mi.movie_id = mc.movie_id AND t.production_year > 2008 AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(200%)%' AND it1.info = 'countries' AND mi_idx.info < '7.0' AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND it2.id = mi_idx.info_type_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mk.movie_id = mc.movie_id | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE o_orderkey = l1.l_orderkey AND s_nationkey = n_nationkey AND n_name = 1 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 ) AND o_orderstatus = 'F' 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_suppkey = l1.l_suppkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | 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.production_year > 2010 AND n.id = ci.person_id AND n.name LIKE '%Hemsworth%Chris%' AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND t.id = mk.movie_id AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE n_name = 1 AND s_nationkey = n_nationkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND o_orderstatus = 'F' 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 ) AND o_orderkey = l1.l_orderkey AND l1.l_receiptdate > l1.l_commitdate AND s_suppkey = l1.l_suppkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT i_brand AS brand, i_manufact_id, i_manufact, SUM(ss_ext_sales_price) AS ext_price, i_brand_id AS brand_id 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_year = 2002 AND d_moy = 11 AND i_manager_id = 77 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 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.id = mc.company_id AND t.id = mk.movie_id AND cn.country_code ='[sm]' 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 | job |
SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_type NOT LIKE 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_brand <> 1 AND p_partkey = ps_partkey GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year, MIN(mc.note) AS production_note 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 AND ct.kind = 'production companies' AND t.id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id | job |
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 s_nationkey = n_nationkey AND p_name LIKE 1 ) AS profit AND o_orderkey = l_orderkey AND p_partkey = l_partkey AND ps_suppkey = l_suppkey AND ps_partkey = l_partkey AND s_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year ASC | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE c_custkey = o_custkey AND r_name = 1 AND l_suppkey = s_suppkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND o_orderdate >= DATE 1 AND c_nationkey = s_nationkey AND l_orderkey = o_orderkey GROUP BY n_name 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 n.name_pcode_cf BETWEEN 'A' AND 'F' AND an.name LIKE '%a%' AND pi.note = 'Volker Boehm' AND it.info = 'mini biography' AND ml.linked_movie_id = t.id AND pi.person_id = ci.person_id AND n.id = an.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND lt.id = ml.link_type_id AND t.production_year BETWEEN 1980 AND 1995 AND lt.link = 'features' AND t.id = ci.movie_id AND n.id = pi.person_id AND pi.person_id = an.person_id AND it.id = pi.info_type_id AND ci.movie_id = ml.linked_movie_id AND an.person_id = ci.person_id AND ci.person_id = n.id | job |
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