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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 mi_idx.info > '7.0' AND t.production_year BETWEEN 2000 AND 2010 AND it.info ='rating' AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id LIMIT 100; | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE 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 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_orderkey = l1.l_orderkey AND n_name = 1 AND l1.l_receiptdate > l1.l_commitdate AND s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' 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.id = ci.movie_id AND n.id = ci.person_id AND n.name LIKE '%Downey%Robert%' AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' | job |
select sum(case when (CAST(d_date as DATE) < CAST('1998-01-01' as DATE)) then cs_sales_price - COALESCE(cr_refunded_cash, 0) else 0 end) as sales_before, i_item_id, sum(case when (CAST(d_date as DATE) >= CAST('1998-01-01' as DATE)) then cs_sales_price - COALESCE(cr_refunded_cash, 0) else 0 end) as sales_after, w_state from catalog_sales left INNER JOIN catalog_returns on cs_order_number = cr_order_number and cs_item_sk = cr_item_sk INNER JOIN warehouse on cs_warehouse_sk = w_warehouse_sk INNER JOIN item on i_item_sk = cs_item_sk INNER JOIN date_dim on cs_sold_date_sk = d_date_sk where i_current_price BETWEEN 6.75 AND 6.75 + 1.49 AND d_date BETWEEN (CAST('1998-01-01' as DATE) - INTERVAL '30 days') AND (CAST('1998-01-01' as DATE) + INTERVAL '30 days') group by w_state, i_item_id order by w_state, i_item_id limit 100; | 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(*) 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 s_county IN ('Franklin County', 'Daviess County', 'Jackson County') AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.57 AND hd_vehicle_count > 0 AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND d_year IN (2000, 2002, 2001) 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(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 n.id = ci.person_id AND n.name LIKE '%Hemsworth%Chris%' AND ci.movie_id = mk.movie_id AND t.id = ci.movie_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' | job |
select i_item_id, i_item_desc, s_store_id, s_store_name, sum(ss_quantity) as store_sales_quantity, sum(sr_return_quantity) as store_returns_quantity, sum(cs_quantity) as catalog_sales_quantity 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 d2.d_moy between 3 and 3 + 3 and d3.d_year = 2001 and d2.d_year = 2001 and d3.d_moy between 3 and 3 + 3 and d1.d_year = 2001 and d1.d_moy = 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 s_phone, s_address, total_revenue, s_name, s_suppkey From supplier, revenue0 Where total_revenue = ( Select Max(total_revenue) From revenue0 ) AND s_suppkey = supplier_no Order By s_suppkey | tpch |
SELECT 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, l_shipmode FROM orders, lineitem WHERE l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND o_orderkey = l_orderkey AND l_receiptdate >= DATE 1 AND l_shipmode IN (1, 1) AND l_commitdate < l_receiptdate AND l_shipdate < l_commitdate GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 1000; | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = v.PostId AND pl.LinkTypeId = 1 AND p.Id = pl.PostId AND p.Id = c.PostId AND c.Score = 0 AND p.Id = ph.PostId AND p.FavoriteCount >= 0 | 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 cn.id = mc.company_id AND cn.country_code ='[sm]' 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 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 cd_gender = 'F' AND cd_education_status = 'Advanced Degree' AND cd_marital_status = 'W' AND d_year = 2000 AND (p_channel_email = 'N' or p_channel_event = 'N') group by i_item_id order by i_item_id limit 100; | tpcds |
WITH year_total AS ( SELECT 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_last_name AS customer_last_name, c_preferred_cust_flag AS customer_preferred_cust_flag, 's' AS sale_type, c_birth_country AS customer_birth_country, c_email_address AS customer_email_address, d_year AS dyear, c_login AS customer_login, c_customer_id AS customer_id 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; | 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 n.id = ci.person_id AND an.person_id = ci.person_id AND t.episode_nr >= 50 AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND k.keyword = 'character-name-in-title' AND mc.company_id = cn.id AND t.id = mk.movie_id AND t.episode_nr < 100 AND ci.movie_id = mc.movie_id AND ci.movie_id = t.id AND cn.country_code = '[us]' AND an.person_id = n.id AND t.id = mc.movie_id AND ci.movie_id = mk.movie_id | 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 mk.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND ci.person_id = an.person_id AND rt.role = 'actress' AND k.id = mk.keyword_id AND n.gender = 'f' AND ci.note LIKE '%(voice: English version)%' AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.id = mk.movie_id AND mk.movie_id = ci.movie_id AND t.id = ci.movie_id AND ci.role_id = rt.id AND cn.country_code = '[jp]' AND cn.id = mc.company_id AND mc.note LIKE '%(Japan)%' AND t.production_year > 1990 AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND n.id = ci.person_id AND k.keyword = 'anime' | 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.person_id = ci.person_id AND an.name LIKE '%a%' AND pi.person_id = an.person_id AND ml.linked_movie_id = t.id AND it.id = pi.info_type_id AND lt.link = 'features' AND n.id = pi.person_id AND ci.movie_id = ml.linked_movie_id AND pi.person_id = ci.person_id AND t.production_year BETWEEN 1980 AND 1995 AND t.id = ci.movie_id AND it.info = 'mini biography' AND pi.note = 'Volker Boehm' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND n.id = an.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND ci.person_id = n.id AND lt.id = ml.link_type_id | job |
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 = c.PostId AND c.Score = 0 AND p.Id = v.PostId AND pl.LinkTypeId = 1 AND p.FavoriteCount >= 0 AND p.Id = pl.PostId LIMIT 500; | stats |
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 it.id = mi.info_type_id AND t.id = mc.movie_id AND t.id = mi.movie_id AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi.movie_id AND it.info = 'bottom 10 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') LIMIT 500; | 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 k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND n.id = ci.person_id AND t.id = ci.movie_id AND n.name LIKE '%Downey%Robert%' AND ci.movie_id = mk.movie_id | job |
SELECT c_custkey, n_name, c_acctbal, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_name, c_comment, c_phone, c_address 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(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 t.production_year > 2010 AND t.id = ci.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND n.name like '%Hemsworth%Chris%' AND k.keyword = 'marvel-cinematic-universe' | job |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.Id = v.PostId AND p.Id = pl.PostId AND p.Id = c.PostId AND p.AnswerCount >= 0 AND p.Id = ph.PostId AND u.Id = p.OwnerUserId AND p.PostTypeId = 1 | stats |
SELECT SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_custkey, c_comment, c_acctbal, c_phone, c_address, c_name, n_name 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(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 it.id = mi_idx.info_type_id and t.production_year between 2000 and 2005 and t.id = mi_idx.movie_id and it.info ='rating' and mi_idx.info > '8.0' LIMIT 10; | job |
WITH year_total AS ( SELECT 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, c_birth_country AS customer_birth_country, c_login AS customer_login, c_email_address AS customer_email_address, c_last_name AS customer_last_name, c_first_name AS customer_first_name, d_year AS dyear, c_preferred_cust_flag AS customer_preferred_cust_flag, c_customer_id AS customer_id 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 >= 2002 AND d_year <= 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 o_year, SUM(amount) AS sum_profit, nation 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_suppkey = l_suppkey AND ps_partkey = l_partkey AND p_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND s_suppkey = l_suppkey AND s_nationkey = n_nationkey AND o_orderkey = l_orderkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT MIN(t.title) AS japanese_anime_movie, MIN(an.name) AS acress_pseudonym 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.person_id = an.person_id AND n.id = ci.person_id AND cn.country_code = '[jp]' AND k.id = mk.keyword_id 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 n.gender = 'f' AND k.keyword = 'anime' AND mc.note NOT LIKE '%(USA)%' AND t.production_year > 1990 AND rt.role = 'actress' AND t.id = mk.movie_id AND t.id = ci.movie_id AND an.person_id = n.id AND mk.movie_id = ci.movie_id AND ct.id = mc.company_type_id AND ci.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND cn.id = mc.company_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 t.id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND k.keyword LIKE '%sequel%' AND k.id = mk.keyword_id AND t.production_year > 2010 LIMIT 200; | job |
SELECT AVG(cs_quantity) AS agg1, AVG(cs_coupon_amt) AS agg3, AVG(cs_sales_price) AS agg4, i_item_id, 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 cd_gender = 'M' AND cd_education_status = 'Advanced Degree' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_marital_status = 'W' AND d_year = 2000 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 t.id = mk.movie_id and mk.keyword_id = k.id and mc.movie_id = t.id and mc.movie_id = mk.movie_id and cn.country_code ='[de]' and k.keyword ='character-name-in-title' | job |
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 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 = -7 AND d_year = 1998 AND d_moy = 8 ) 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 = -7 AND s_gmt_offset = -7 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND i_category = 'Music' AND i_category = 'Music' AND ca_gmt_offset = -7 AND d_moy = 8 ) AS all_sales AND d_year = 1998 ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT c_last_name, c_first_name, c_salutation, cnt, 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 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND d_year = ANY(ARRAY[2001, 2000, 2003]) AND s_county = ANY(ARRAY['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 DESC LIMIT 1000; | tpcds |
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 o_orderdate < DATE 1 and c_custkey = o_custkey and l_shipdate > DATE 1 and c_mktsegment = 1 group by l_orderkey, o_orderdate, o_shippriority order by revenue ASC, o_orderdate limit 10 | 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 t.production_year > 2005 AND ci.note LIKE '%(voice)%' AND ct.id = mc.company_type_id AND rt.role = 'actor' AND t.id = ci.movie_id AND t.id = mc.movie_id AND ci.note LIKE '%(uncredited)%' AND rt.id = ci.role_id AND cn.id = mc.company_id AND chn.id = ci.person_role_id AND ci.movie_id = mc.movie_id AND cn.country_code = '[ru]' | job |
SELECT s_phone, s_address, s_suppkey, s_name, total_revenue FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) ORDER BY s_suppkey 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 = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND k.keyword like '%sequel%' AND t.production_year > 2010 AND mi.info in ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mi.movie_id | job |
SELECT cc_name AS call_center_name, cc_call_center_id AS call_center, cc_manager AS manager, SUM(cr_net_loss) AS returns_loss 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 = 12 AND ( (cd_marital_status = 'S' AND cd_education_status = '4 yr Degree') OR (hd_buy_potential LIKE '1001-5000%' AND ca_gmt_offset = -6) ) AND ca_gmt_offset = -6 GROUP BY cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status ORDER BY returns_loss DESC; | 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 cn.country_code ='[sm]' AND t.id = mk.movie_id AND mk.keyword_id = k.id AND k.keyword ='character-name-in-title' AND mc.movie_id = t.id | job |
SELECT o_totalprice, o_orderkey, c_custkey, o_orderdate, c_name, SUM(l_quantity) 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 ASC, o_orderdate LIMIT 100 | tpch |
SELECT p_brand, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_type, p_size FROM partsupp, part WHERE p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_brand <> 1 AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_partkey = ps_partkey AND p_type NOT LIKE 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt ASC, p_brand, p_type, p_size | tpch |
SELECT o_shippriority, SUM(l_extendedprice * (1 - l_discount)) AS revenue, l_orderkey, o_orderdate FROM customer, orders, lineitem WHERE c_mktsegment = 1 AND l_orderkey = o_orderkey AND c_custkey = o_custkey AND o_orderdate < DATE 1 AND l_shipdate > DATE 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | tpch |
Select s_name, Count(1) As numwait From supplier, lineitem l1, orders, nation Where 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 ) And l1.l_receiptdate > l1.l_commitdate And s_suppkey = l1.l_suppkey And o_orderstatus = 'F' 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 s_nationkey = n_nationkey Group By s_name Order By numwait Desc, s_name Limit 100 | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE 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 s_suppkey = l1.l_suppkey AND o_orderkey = l1.l_orderkey AND l1.l_receiptdate > l1.l_commitdate AND s_nationkey = n_nationkey AND n_name = 1 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 c_salutation, cnt, c_first_name, c_preferred_cust_flag, c_last_name, 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 >= 1 AND d_dom <= 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) > 1.56 AND d_year IN (2000, 2000, 2003) 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 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 = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND it.info = 'bottom 10 rank' AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id | job |
SELECT SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count, l_shipmode, 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_shipmode IN (1, 1) AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND o_orderkey = l_orderkey AND l_shipdate < l_commitdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
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 mi.info LIKE 'USA:%200%' AND it1.info = 'rating' AND at.movie_id = mi_idx.movie_id AND at.title LIKE '%Champion%' AND t.id = mi.movie_id AND t.production_year > 2000 AND it1.id = mi_idx.info_type_id AND it2.info = 'release dates' AND cn.country_code = '[us]' AND t.id = mc.movie_id AND cn.id = mc.company_id AND t.id = at.movie_id AND mi_idx.movie_id = mc.movie_id AND kt.kind = 'movie' AND t.id = mi_idx.movie_id AND at.movie_id = mc.movie_id AND mi_idx.info < '3.5' AND kt.id = t.kind_id AND at.movie_id = mi.movie_id AND mi.movie_id = mi_idx.movie_id AND it2.id = mi.info_type_id | job |
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 it.info = 'bottom 10 rank' AND t.id = mi.movie_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi.movie_id AND t.id = mc.movie_id AND it.id = mi.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
Select cc_manager As manager, Sum(cr_net_loss) As returns_loss, cc_call_center_id As call_center, cc_name As call_center_name 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_moy = 11 AND ca_gmt_offset = -7 AND ( (cd_marital_status = 'M' And cd_education_status = '4 yr Degree') Or (hd_buy_potential Like '1001-5000%' And ca_gmt_offset = -7) ) AND d_year = 1999 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 l_orderkey, o_orderdate, SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_shippriority FROM customer, orders, lineitem WHERE l_orderkey = o_orderkey AND c_custkey = o_custkey AND l_shipdate > DATE 1 AND o_orderdate < DATE 1 AND c_mktsegment = 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | 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 o_orderkey = l_orderkey And s_nationkey = n_nationkey And ps_partkey = l_partkey And p_name Like 1 ) As profit And s_suppkey = l_suppkey And ps_suppkey = l_suppkey And p_partkey = l_partkey Group By nation, o_year Order By nation, o_year Desc | tpch |
SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_type NOT LIKE 1 AND p_brand <> 1 AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_partkey = ps_partkey GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt ASC, p_brand, p_type, p_size | 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.country_code ='[nl]' AND k.keyword ='character-name-in-title' AND mk.keyword_id = k.id AND cn.id = mc.company_id AND mc.movie_id = t.id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id | job |
SELECT MAX(k.keyword) AS movie_keyword, MAX(n.name) AS actor_name, MAX(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.id = mk.keyword_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND n.name LIKE '%Downey%Robert%' AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND n.id = ci.person_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 o_orderkey = l_orderkey AND p_name LIKE 1 ) AS profit AND ps_suppkey = l_suppkey AND p_partkey = l_partkey AND ps_partkey = l_partkey AND s_suppkey = l_suppkey AND s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
Select Avg(l_quantity) As avg_qty, l_returnflag, Avg(l_discount) As avg_disc, Sum(l_quantity) As sum_qty, Sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) As sum_charge, Avg(l_extendedprice) As avg_price, l_linestatus, Sum(l_extendedprice * (1 - l_discount)) As sum_disc_price, Sum(l_extendedprice) As sum_base_price, 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 | 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 n.gender = 'f' AND ci.movie_id = mc.movie_id AND t.production_year > 2000 AND it.id = mi.info_type_id AND n.id = ci.person_id AND cn.country_code = '[us]' AND ci.note in ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND cn.id = mc.company_id AND ci.role_id = rt.id AND mc.note like '%(USA)%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND an.person_id = n.id AND mi.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.role = 'actress' AND it.info = 'release dates' AND t.id = ci.movie_id AND mi.movie_id = ci.movie_id AND ci.person_id = an.person_id | job |
select ps_partkey, sum(ps_supplycost * ps_availqty) as VALUE from partsupp, supplier, nation where s_nationkey = n_nationkey and ps_suppkey = s_suppkey 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 | tpch |
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 at.movie_id = mi_idx.movie_id AND t.production_year > 2000 AND cn.id = mc.company_id AND t.id = at.movie_id AND at.movie_id = mc.movie_id AND cn.country_code = '[us]' AND it2.id = mi.info_type_id AND at.title LIKE '%Champion%' AND kt.id = t.kind_id AND kt.kind = 'movie' AND it2.info = 'release dates' AND t.id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND t.id = mc.movie_id AND mi.movie_id = mc.movie_id AND t.id = mi.movie_id AND mi_idx.info < '3.5' AND it1.info = 'rating' AND at.movie_id = mi.movie_id AND it1.id = mi_idx.info_type_id AND mi_idx.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id | 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 c_mktsegment = 1 AND o_orderdate < DATE 1 AND l_shipdate > DATE 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue ASC, o_orderdate LIMIT 10 | 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 l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode in (1, 1) AND l_shipdate < l_commitdate AND l_commitdate < l_receiptdate group by l_shipmode order by l_shipmode | 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 mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.id AND cn.country_code ='[de]' AND k.keyword ='character-name-in-title' AND mk.keyword_id = k.id | job |
Select cc_call_center_id As call_center, cc_manager As manager, Sum(cr_net_loss) As returns_loss, cc_name As call_center_name 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 ( (cd_marital_status = 'S' And cd_education_status = 'Advanced Degree') Or (hd_buy_potential Like '0-500%' And ca_gmt_offset = -5) ) And d_moy = 11 And d_year = 1999 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 Desc Limit 100; | tpcds |
SELECT s_acctbal, p_mfgr, s_name, n_name, s_comment, s_address, p_partkey, s_phone FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey 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 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
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 at.movie_id = mi_idx.movie_id AND it2.id = mi.info_type_id AND mi_idx.info < '3.5' AND t.id = mi.movie_id AND at.movie_id = mc.movie_id AND it1.info = 'rating' AND cn.id = mc.company_id AND it2.info = 'release dates' AND mi_idx.movie_id = mc.movie_id AND t.id = mi_idx.movie_id AND at.movie_id = mi.movie_id AND kt.kind = 'movie' AND mi.info LIKE 'USA:%200%' AND cn.country_code = '[us]' AND mi.movie_id = mc.movie_id AND t.production_year > 2000 AND t.id = at.movie_id AND it1.id = mi_idx.info_type_id AND kt.id = t.kind_id AND t.id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND at.title LIKE '%Champion%' | job |
Select Count(*) From comments As c, votes As v, users As u Where u.Id = c.UserId And u.Id = v.UserId And c.CreationDate >= '2010-08-10 17:55:45'::timestamp And u.Reputation >= 1 Limit 200; | stats |
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 mc.note NOT LIKE '%(USA)%' AND t.id = mk.movie_id AND k.id = mk.keyword_id AND mc.note LIKE '%(Japan)%' AND ci.movie_id = mc.movie_id AND cn.country_code = '[jp]' AND k.keyword = 'anime' AND ci.note LIKE '%(voice: English version)%' AND t.production_year > 1990 AND mk.movie_id = mc.movie_id AND n.gender = 'f' AND ci.person_id = an.person_id AND ci.role_id = rt.id AND t.id = mc.movie_id AND t.id = ci.movie_id AND cn.id = mc.company_id AND an.person_id = n.id AND rt.role = 'actress' AND mk.movie_id = ci.movie_id AND ct.id = mc.company_type_id AND n.id = ci.person_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_partkey = ps_partkey AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_brand <> 1 AND p_type NOT LIKE 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt ASC, p_brand, p_type, p_size | tpch |
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 mk.movie_id = mc.movie_id AND mi.info LIKE 'USA:% 199%' AND ml.movie_id = mc.movie_id AND cn.id = mc.company_id AND cn.country_code = '[us]' AND lt.link LIKE '%follow%' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mi.movie_id = t.id AND k.id = mk.keyword_id AND mc.note LIKE '%(USA)%' AND it.id = mi.info_type_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND lt.id = ml.link_type_id AND it.info = 'release dates' AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND t.id = ml.movie_id AND ml.movie_id = mi.movie_id AND ml.movie_id = mk.movie_id AND t.id = mk.movie_id AND t.production_year > 1950 AND mi.note LIKE '%internet%' | job |
WITH _q AS ( select s_store_name, sum(ss_net_profit) 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 ( select ca_zip from ( select SUBSTR(ca_zip, 1, 5) as ca_zip from customer_address where SUBSTR(ca_zip, 1, 5) in ( '68134', '25946', '35077', '93632', '24899' ) ) as v1 ) as v2 on SUBSTR(s_zip, 1, 5) = v2.ca_zip where d_qoy = 1 and d_year = 2002 group by s_store_name order by s_store_name limit 100 ) SELECT * FROM _q; | tpcds |
SELECT COUNT(*) AS custdist, c_count FROM ( SELECT c_custkey, COUNT(o_orderkey) AS c_count FROM customer LEFT INNER 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 ASC, c_count ASC LIMIT 100; | tpch |
WITH _q AS ( 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 k.keyword ='character-name-in-title' AND cn.country_code ='[nl]' AND cn.id = mc.company_id AND mk.keyword_id = k.id AND t.id = mk.movie_id AND mc.movie_id = t.id ) SELECT * FROM _q; | job |
SELECT MAX(cn.name) AS from_company, MAX(lt.link) AS link_type, MAX(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 ct.id = mc.company_type_id AND it.id = mi.info_type_id AND lt.link LIKE '%follow%' AND t.id = ml.movie_id AND cn.id = mc.company_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND ml.movie_id = mi.movie_id AND ml.movie_id = mk.movie_id AND t.production_year > 1950 AND it.info = 'release dates' AND mk.movie_id = mc.movie_id AND mi.note LIKE '%internet%' AND k.id = mk.keyword_id AND t.id = mc.movie_id AND mi.movie_id = t.id AND cn.country_code = '[us]' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND lt.id = ml.link_type_id AND t.id = mk.movie_id AND mi.info LIKE 'USA:% 199%' AND mc.note LIKE '%(USA)%' AND ml.movie_id = mc.movie_id | job |
SELECT l_year, cust_nation, SUM(volume) AS revenue, supp_nation 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_custkey = o_custkey AND o_orderkey = l_orderkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND c_nationkey = n2.n_nationkey AND s_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
WITH _q AS ( 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.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND it.info = 'bottom 10 rank' AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND t.id = mi.movie_id AND it.id = mi.info_type_id ) SELECT * FROM _q AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
select p_brand, p_type, p_size, count(distinct ps_suppkey) as supplier_cnt from partsupp, part where p_partkey = ps_partkey AND p_brand <> 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%' ) AND p_type not like 1 group by p_brand, p_type, p_size order by supplier_cnt desc, p_brand, p_type, p_size | tpch |
SELECT MIN(k.keyword) AS movie_keyword, MIN(t.title) AS marvel_movie, MIN(n.name) AS actor_name 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 n.name LIKE '%Hemsworth%Chris%' AND t.id = mk.movie_id AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND t.production_year > 2010 AND t.id = ci.movie_id AND n.id = ci.person_id | job |
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 lt.link LIKE '%follow%' AND ml.movie_id = mi.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND cn.id = mc.company_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mi.movie_id = t.id AND it.id = mi.info_type_id AND t.production_year > 1950 AND lt.id = ml.link_type_id AND t.id = mc.movie_id AND mc.note LIKE '%(USA)%' AND mk.movie_id = mc.movie_id AND it.info = 'release dates' AND mi.info LIKE 'USA:% 199%' AND t.id = mk.movie_id AND t.id = ml.movie_id AND cn.country_code = '[us]' AND mi.note LIKE '%internet%' AND ct.id = mc.company_type_id AND k.id = mk.keyword_id | 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.person_id = an.person_id AND an.person_id = n.id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND mk.movie_id = ci.movie_id AND mc.note Not Like '%(USA)%' AND rt.role = 'actress' AND cn.id = mc.company_id AND t.id = mk.movie_id AND n.gender = 'f' AND mk.movie_id = mc.movie_id AND ci.role_id = rt.id AND k.keyword = 'anime' AND mc.note Like '%(Japan)%' AND t.production_year > 1990 AND t.id = mc.movie_id AND k.id = mk.keyword_id AND cn.country_code = '[jp]' AND ci.note Like '%(voice: English version)%' AND n.id = ci.person_id AND ct.id = mc.company_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 c_custkey = o_custkey AND s_nationkey = n1.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 c_nationkey = n2.n_nationkey 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 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 l_orderkey = o_orderkey and o_custkey = c_custkey and s_suppkey = l_suppkey and o_orderdate between DATE '1995-01-01' and DATE '1996-12-31' and c_nationkey = n1.n_nationkey and p_partkey = l_partkey and r_name = 1 and n1.n_regionkey = r_regionkey and p_type = 1 ) as all_nations and s_nationkey = n2.n_nationkey group by o_year order by o_year | 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 Like '%(Japan)%' And n1.name Like '%Yo%' And mc.note Not Like '%(USA)%' And mc.company_id = cn.id And t.id = mc.movie_id And n1.id = ci.person_id And rt.role = 'actress' And ci.movie_id = mc.movie_id And ci.note = '(voice: English version)' And ci.role_id = rt.id And an1.person_id = n1.id And n1.name Not Like '%Yu%' And an1.person_id = ci.person_id And cn.country_code = '[jp]' And ci.movie_id = t.id Limit 20; | 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 t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
With _q As ( Select o_orderpriority, Count(*) As order_count From orders Where o_orderdate >= DATE 1 And o_orderdate < DATE 1 + INTERVAL '3' MONTH And Exists ( Select * From lineitem Where l_orderkey = o_orderkey And l_commitdate < l_receiptdate ) Group By o_orderpriority Order By o_orderpriority ) Select * From _q Limit 200; | tpch |
Select l_linestatus, Sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) As sum_charge, Count(*) As count_order, Sum(l_extendedprice * (1 - l_discount)) As sum_disc_price, Avg(l_quantity) As avg_qty, Avg(l_discount) As avg_disc, Sum(l_extendedprice) As sum_base_price, Avg(l_extendedprice) As avg_price, l_returnflag, Sum(l_quantity) As sum_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 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 d_year in (2001, 2000, 2003) and (hd_buy_potential = '1001-5000' or hd_buy_potential = '5001-10000') and d_dom between 1 and 2 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 desc limit 1000; | tpcds |
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 '%Hemsworth%Chris%' AND ci.movie_id = mk.movie_id AND t.production_year > 2010 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.id = ci.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_suppkey = l_suppkey AND c_custkey = o_custkey 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 l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND c_nationkey = n2.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
With _q As ( Select 100.00 * Sum( Case When p_type Like 'PROMO%' Then l_extendedprice * (1 - l_discount) Else 0 End ) / Sum(l_extendedprice * (1 - l_discount)) As promo_revenue From lineitem, part Where l_shipdate >= DATE 1 And l_shipdate < DATE 1 + INTERVAL '1' MONTH And l_partkey = p_partkey ) Select * From _q; | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.Id = v.PostId AND p.Id = c.PostId AND u.Id = p.OwnerUserId AND p.Id = pl.PostId AND p.Id = ph.PostId AND p.PostTypeId = 1 AND p.AnswerCount >= 0 LIMIT 1000; | 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 at.title LIKE '%Champion%' AND it2.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND at.movie_id = mc.movie_id AND at.movie_id = mi.movie_id AND it1.info = 'rating' AND mi_idx.movie_id = mc.movie_id AND t.id = mi.movie_id AND at.movie_id = mi_idx.movie_id AND kt.kind = 'movie' AND mi_idx.info < '3.5' AND mi.info LIKE 'USA:%200%' AND mi.movie_id = mi_idx.movie_id AND cn.country_code = '[us]' AND kt.id = t.kind_id AND t.id = at.movie_id AND t.id = mi_idx.movie_id AND it1.id = mi_idx.info_type_id AND cn.id = mc.company_id AND t.id = mc.movie_id AND t.production_year > 2000 AND it2.info = 'release dates' | job |
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 ci.role_id = rt.id AND mc.note LIKE '%(Japan)%' AND mc.note NOT LIKE '%(USA)%' AND mc.company_id = cn.id AND n1.name LIKE '%Yo%' AND n1.name NOT LIKE '%Yu%' AND cn.country_code = '[jp]' AND n1.id = ci.person_id AND an1.person_id = ci.person_id AND an1.person_id = n1.id AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND t.id = mc.movie_id AND ci.note = '(voice: English version)' AND ci.movie_id = t.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 mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id AND ct.kind = 'production companies' 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 (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
SELECT cust_nation, l_year, SUM(volume) AS revenue, supp_nation 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 o_orderkey = l_orderkey AND c_custkey = o_custkey AND s_nationkey = n1.n_nationkey 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 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 LIMIT 1000; | 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 mi.info In ('Germany', 'German', 'USA', 'American') AND mi.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND mc.note Not Like '%(USA)%' AND it2.info = 'rating' AND kt.id = t.kind_id AND cn.id = mc.company_id AND mi_idx.info < '7.0' AND mk.movie_id = mi_idx.movie_id AND it2.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND k.keyword In ('murder', 'murder-In-title', 'blood', 'violence') AND t.production_year > 2008 AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND cn.country_code != '[us]' AND mc.note Like '%(200%)%' AND it1.id = mi.info_type_id AND ct.id = mc.company_type_id AND kt.kind In ('movie', 'episode') AND mi.movie_id = mc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND it1.info = 'countries' | job |
SELECT 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, l_shipmode FROM orders, lineitem WHERE l_shipdate < l_commitdate AND l_commitdate < l_receiptdate AND l_shipmode IN (1, 1) AND l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT MAX(ss_net_profit) AS store_sales_profit, i_item_desc, s_store_id, s_store_name, i_item_id, MAX(cs_net_profit) AS catalog_sales_profit, MAX(sr_net_loss) AS store_returns_loss 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 = 2001 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 2 AND 8 + 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 company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, title As t Where k.keyword ='character-name-In-title' AND cn.country_code ='[sm]' AND t.id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id | job |
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 ci.movie_id = t.id AND an1.person_id = n1.id AND ci.note = '(voice: English version)' AND n1.name NOT LIKE '%Yu%' AND n1.name LIKE '%Yo%' AND t.id = mc.movie_id AND an1.person_id = ci.person_id AND mc.note LIKE '%(Japan)%' AND mc.company_id = cn.id AND ci.role_id = rt.id AND rt.role = 'actress' AND cn.country_code = '[jp]' AND ci.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND n1.id = ci.person_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postHistory AS ph, votes AS v, users AS u WHERE c.UserId = p.OwnerUserId AND ph.UserId = v.UserId AND p.Score <= 13 AND p.OwnerUserId = ph.UserId AND u.Id = c.UserId AND p.AnswerCount >= 0 | stats |
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