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SELECT MAX(mc.note) AS production_note, MAX(t.title) AS movie_title, MAX(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 = mc.movie_id AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND it.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
with _q as ( select count(*) from comments as c, posts as p, postHistory as ph, votes as v, users as u where p.AnswerCount >= 0 ) select * from _q AND ph.UserId = v.UserId AND p.Score <= 13 AND u.Id = c.UserId AND c.UserId = p.OwnerUserId AND p.OwnerUserId = ph.UserId | stats |
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 n1.id = ci.person_id AND rt.role = 'actress' AND mc.note LIKE '%(Japan)%' AND mc.note NOT LIKE '%(USA)%' AND ci.movie_id = t.id AND n1.name LIKE '%Yo%' AND ci.role_id = rt.id AND cn.country_code = '[jp]' AND n1.name NOT LIKE '%Yu%' AND ci.movie_id = mc.movie_id AND ci.note = '(voice: English version)' AND an1.person_id = ci.person_id AND mc.company_id = cn.id AND t.id = mc.movie_id AND an1.person_id = n1.id | job |
SELECT c_last_name, c_salutation, ss_ticket_number, c_preferred_cust_flag, cnt, c_first_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.57 AND s_county IN ('Franklin County', 'Daviess County', 'Jackson County') AND hd_vehicle_count > 0 AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) 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 ASC LIMIT 100; | tpcds |
SELECT w_state, i_item_id, SUM(CASE WHEN (CAST(d_date AS DATE) < CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_before, SUM(CASE WHEN (CAST(d_date AS DATE) >= CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_after FROM catalog_sales LEFT JOIN catalog_returns ON cs_order_number = cr_order_number AND cs_item_sk = cr_item_sk JOIN warehouse ON cs_warehouse_sk = w_warehouse_sk JOIN item ON i_item_sk = cs_item_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk WHERE d_date BETWEEN (CAST('2000-03-11' AS DATE) - INTERVAL '30 days') AND (CAST('2000-03-11' AS DATE) + INTERVAL '30 days') AND i_current_price >= 89.17 AND i_current_price <= 89.17 + 1.49 GROUP BY w_state, i_item_id ORDER BY w_state, i_item_id; | 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 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 i_category = 'Home' AND d_year = 2002 AND s_gmt_offset = -6 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND i_category = 'Home' AND s_gmt_offset = -6 AND d_moy = 5 ) 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 AND ca_gmt_offset = -6 AND d_moy = 5 ) AS all_sales AND d_year = 2002 ORDER BY promotions, total; | tpcds |
SELECT i_brand_id AS brand_id, i_brand AS brand, i_manufact_id, i_manufact, SUM(ss_ext_sales_price) AS ext_price FROM date_dim INNER JOIN store_sales ON d_date_sk = ss_sold_date_sk INNER JOIN item ON ss_item_sk = i_item_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 store ON ss_store_sk = s_store_sk WHERE d_moy = 11 AND d_year = 1999 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND i_manager_id = 12 GROUP BY i_brand, i_brand_id, i_manufact_id, i_manufact ORDER BY ext_price ASC, brand, brand_id, i_manufact_id, i_manufact LIMIT 100; | tpcds |
SELECT AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ca_state IN ('TX', 'GA', 'FL') AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price >= 90 AND ss_sales_price <= 128) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 81 AND 149) OR (cd_marital_status = 'W' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 138 AND 187) ) AND ca_country = 'United States' AND ( (hd_dep_count = 2 AND hd_vehicle_count <= 4) OR (hd_dep_count = 4 AND hd_vehicle_count <= 5) OR (hd_dep_count = 5 AND hd_vehicle_count <= 6) ) AND d_year = 2001 AND s_market_id = 8 | tpcds |
SELECT i_manufact_id, i_brand AS brand, i_brand_id AS brand_id, i_manufact, SUM(ss_ext_sales_price) AS ext_price FROM date_dim INNER JOIN store_sales ON d_date_sk = ss_sold_date_sk INNER JOIN item ON ss_item_sk = i_item_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 store ON ss_store_sk = s_store_sk WHERE d_moy = 11 AND d_year = 1999 AND i_manager_id = 12 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(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.info LIKE 'USA:%200%' AND mi_idx.movie_id = mc.movie_id AND t.id = mi_idx.movie_id AND t.production_year > 2000 AND mi.movie_id = mc.movie_id AND cn.country_code = '[us]' AND it1.info = 'rating' AND t.id = mi.movie_id AND kt.id = t.kind_id AND at.title LIKE '%Champion%' AND it1.id = mi_idx.info_type_id AND kt.kind = 'movie' AND it2.info = 'release dates' AND at.movie_id = mi_idx.movie_id AND it2.id = mi.info_type_id AND at.movie_id = mc.movie_id AND cn.id = mc.company_id AND t.id = mc.movie_id AND at.movie_id = mi.movie_id AND mi.movie_id = mi_idx.movie_id AND t.id = at.movie_id AND mi_idx.info < '3.5' | 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 mi.movie_id = mc.movie_id AND t.id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND mi.movie_id = mi_idx.movie_id AND mc.note LIKE '%(200%)%' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it2.info = 'rating' AND kt.kind IN ('movie', 'episode') AND t.id = mk.movie_id AND mi_idx.info < '7.0' AND mc.note NOT LIKE '%(USA)%' AND kt.id = t.kind_id AND it1.id = mi.info_type_id AND cn.country_code != '[us]' AND mc.movie_id = mi_idx.movie_id AND t.production_year > 2008 AND mk.movie_id = mc.movie_id AND mk.movie_id = mi.movie_id AND it2.id = mi_idx.info_type_id AND t.id = mc.movie_id AND it1.info = 'countries' AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND t.id = mi.movie_id | job |
SELECT COUNT(*) FROM comments AS c, postHistory AS ph, badges AS b, votes AS v, users AS u WHERE u.UpVotes = 0 AND ph.UserId = v.UserId AND v.UserId = c.UserId AND ph.PostHistoryTypeId = 12 AND b.UserId = ph.UserId AND u.Id = b.UserId; | stats |
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 d3.d_year = 2000 AND d1.d_year = 2000 AND d1.d_moy = 5 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d2.d_year = 2000 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND l_orderkey = o_orderkey AND p_type = 1 ) AS all_nations AND n1.n_regionkey = r_regionkey AND o_custkey = c_custkey AND r_name = 1 AND s_nationkey = n2.n_nationkey AND c_nationkey = n1.n_nationkey GROUP BY o_year ORDER BY o_year | 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.note LIKE '%(voice: English version)%' AND t.id = ci.movie_id AND cn.id = mc.company_id AND t.id = mk.movie_id AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND t.production_year > 1990 AND k.keyword = 'anime' AND ci.person_id = an.person_id AND cn.country_code = '[jp]' AND n.gender = 'f' AND an.person_id = n.id AND mk.movie_id = ci.movie_id AND n.id = ci.person_id AND mc.note NOT LIKE '%(USA)%' AND ci.role_id = rt.id AND mk.movie_id = mc.movie_id AND t.id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND k.id = mk.keyword_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 (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND an.person_id = ci.person_id AND lt.link = 'features' AND t.production_year BETWEEN 1980 AND 1995 AND an.name LIKE '%a%' AND ml.linked_movie_id = t.id AND pi.note = 'Volker Boehm' AND it.id = pi.info_type_id AND n.id = an.person_id AND pi.person_id = ci.person_id AND it.info = 'mini biography' AND ci.person_id = n.id AND lt.id = ml.link_type_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND n.id = pi.person_id AND ci.movie_id = ml.linked_movie_id AND pi.person_id = an.person_id AND t.id = ci.movie_id | job |
SELECT AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, i_item_id, AVG(cs_quantity) AS catalog_sales_quantityave, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, i_item_desc, COUNT(cs_quantity) AS catalog_sales_quantitycount, COUNT(ss_quantity) AS store_sales_quantitycount, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, s_state FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d3.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') AND d2.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') AND d1.d_quarter_name = '1999Q1' GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state 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.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi.movie_id AND it.info = 'bottom 10 rank' AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND it.id = mi.info_type_id AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.movie_id = mi.movie_id | job |
SELECT c_preferred_cust_flag, ss_ticket_number, c_first_name, c_salutation, cnt, c_last_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.57 AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND d_year IN (2000, 2002, 2001) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND s_county IN ('Franklin County', 'Daviess County', 'Jackson County') AND hd_vehicle_count > 0 GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v where p.Id = ph.PostId and p.Id = v.PostId and p.Id = pl.PostId and pl.LinkTypeId = 1 and p.FavoriteCount >= 0 and c.Score = 0 and p.Id = c.PostId | stats |
SELECT COUNT(1) FROM comments AS c, postHistory AS ph, badges AS b, votes AS v, users AS u WHERE ph.PostHistoryTypeId = 12 AND v.UserId = c.UserId AND b.UserId = ph.UserId AND u.Id = b.UserId AND u.UpVotes = 0 AND ph.UserId = v.UserId LIMIT 20; | stats |
SELECT o_orderpriority, COUNT(*) AS order_count FROM orders WHERE o_orderdate < DATE 1 + INTERVAL '3' MONTH AND EXISTS ( SELECT * FROM lineitem WHERE l_orderkey = o_orderkey AND l_commitdate < l_receiptdate ) AND o_orderdate >= DATE 1 GROUP BY o_orderpriority ORDER BY o_orderpriority LIMIT 10; | tpch |
SELECT s_store_name, MAX(ss_net_profit) AS store_sales_profit, MAX(cs_net_profit) AS catalog_sales_profit, i_item_desc, MAX(sr_net_loss) AS store_returns_loss, i_item_id, s_store_id FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 2 AND 8 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 2 AND 8 + 3 AND d3.d_year = 2002 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
Select Avg(ss_list_price) As agg2, Avg(ss_coupon_amt) As agg3, Avg(ss_quantity) As agg1, Avg(ss_sales_price) As agg4, i_item_id 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 = 2000 AND (p_channel_email = 'N' Or p_channel_event = 'N') AND cd_education_status = 'Secondary' AND cd_gender = 'F' AND cd_marital_status = 'W' Group By i_item_id Order By i_item_id Limit 100; | tpcds |
select COUNT(1) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v where p.Id = pl.PostId and p.Id = v.PostId and p.Id = ph.PostId and p.Id = c.PostId and c.Score = 0 and p.FavoriteCount >= 0 and pl.LinkTypeId = 1 LIMIT 1000; | stats |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE r_name = 1 AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND c_custkey = o_custkey AND l_suppkey = s_suppkey AND o_orderdate >= DATE 1 AND c_nationkey = s_nationkey AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE ps_suppkey = l_suppkey AND ps_partkey = l_partkey AND s_nationkey = n_nationkey AND o_orderkey = l_orderkey AND p_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND s_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT AVG(cs_list_price) AS agg2, i_item_id, AVG(cs_coupon_amt) AS agg3, AVG(cs_quantity) AS agg1, 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 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 |
WITH _q AS ( SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.id = mk.keyword_id ) SELECT * FROM _q AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.keyword LIKE '%sequel%' AND t.production_year > 2010 AND t.id = mi.movie_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = v.PostId AND p.Id = pl.PostId AND p.Id = ph.PostId AND c.Score = 0 AND p.FavoriteCount >= 0 AND pl.LinkTypeId = 1 AND p.Id = c.PostId LIMIT 200; | 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 t.id = mk.movie_id AND k.keyword ='character-name-IN-title' AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND cn.id = mc.company_id AND cn.country_code ='[de]' AND mc.movie_id = t.id | 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 = ph.PostId AND p.Id = c.PostId AND p.AnswerCount >= 0 AND p.Id = v.PostId AND u.Id = p.OwnerUserId AND p.Id = pl.PostId AND p.PostTypeId = 1 | 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 k.keyword = 'anime' AND ci.person_id = an.person_id AND mc.note NOT LIKE '%(USA)%' AND ci.note LIKE '%(voice: English version)%' AND ci.role_id = rt.id AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND t.id = ci.movie_id AND k.id = mk.keyword_id AND n.id = ci.person_id AND cn.country_code = '[jp]' AND n.gender = 'f' AND mk.movie_id = ci.movie_id AND mc.note LIKE '%(Japan)%' AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND t.production_year > 1990 AND t.id = mk.movie_id AND t.id = mc.movie_id AND an.person_id = n.id AND mk.movie_id = mc.movie_id | job |
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 (SUBSTR(ca_zip, 1, 5) in ( '85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792' ) or ca_state in ('TX', 'WA', 'FL') or cs_sales_price > 457) and d_qoy = 1 and d_year = 2001 group by ca_zip order by ca_zip limit 100; | tpcds |
select w_state, i_item_id, sum(case when (CAST(d_date as DATE) < CAST('2000-03-11' as DATE)) then cs_sales_price - COALESCE(cr_refunded_cash, 0) else 0 end) as sales_before, sum(case when (CAST(d_date as DATE) >= CAST('2000-03-11' as DATE)) then cs_sales_price - COALESCE(cr_refunded_cash, 0) else 0 end) as sales_after from catalog_sales left join catalog_returns on cs_order_number = cr_order_number and cs_item_sk = cr_item_sk join warehouse on cs_warehouse_sk = w_warehouse_sk join item on i_item_sk = cs_item_sk join date_dim on cs_sold_date_sk = d_date_sk where d_date BETWEEN (CAST('2000-03-11' as DATE) - INTERVAL '30 days') AND (CAST('2000-03-11' as DATE) + INTERVAL '30 days') AND i_current_price BETWEEN 93.37 AND 93.37 + 1.49 group by w_state, i_item_id order by w_state, i_item_id; | tpcds |
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_shipmode IN (1, 1) 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_commitdate < l_receiptdate GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 10; | tpch |
SELECT cnt, c_first_name, ss_ticket_number, c_salutation, c_preferred_cust_flag, c_last_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_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 IN (1999, 2001, 2002) AND s_county IN ('Williamson County', 'Daviess County', 'Oglethorpe County', 'Maricopa County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE n_regionkey = r_regionkey AND c_custkey = o_custkey AND o_orderdate >= DATE 1 AND l_suppkey = s_suppkey AND r_name = 1 AND c_nationkey = s_nationkey AND s_nationkey = n_nationkey AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR GROUP BY n_name ORDER BY revenue DESC LIMIT 20; | tpch |
Select n_name, Sum(l_extendedprice * (1 - l_discount)) As revenue From customer, orders, lineitem, supplier, nation, region Where n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND c_nationkey = s_nationkey AND o_orderdate >= DATE 1 AND l_suppkey = s_suppkey AND r_name = 1 AND c_custkey = o_custkey AND s_nationkey = n_nationkey Group By n_name Order By revenue Desc | tpch |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE mc.note NOT LIKE '%(USA)%' AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.production_year > 1990 AND n.gender = 'f' AND k.keyword = 'anime' AND cn.country_code = '[jp]' AND n.id = ci.person_id AND ct.id = mc.company_type_id AND ci.note LIKE '%(voice: English version)%' AND rt.role = 'actress' AND mk.movie_id = ci.movie_id AND t.id = ci.movie_id AND k.id = mk.keyword_id AND ci.role_id = rt.id AND mk.movie_id = mc.movie_id AND ci.person_id = an.person_id AND mc.note LIKE '%(Japan)%' AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND cn.id = mc.company_id | job |
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 c_custkey = o_custkey AND o_orderdate >= DATE 1 AND l_orderkey = o_orderkey AND c_nationkey = n_nationkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' group by c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment order by revenue ASC limit 20 | 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 mk.movie_id = mi.movie_id AND mc.note NOT LIKE '%(USA)%' AND it1.info = 'countries' AND cn.id = mc.company_id AND mk.movie_id = mc.movie_id AND kt.kind IN ('movie', 'episode') AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mc.note LIKE '%(200%)%' AND cn.country_code != '[us]' AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mi.movie_id = mc.movie_id AND t.id = mc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND mi_idx.info < '7.0' AND t.id = mi_idx.movie_id AND it2.info = 'rating' AND ct.id = mc.company_type_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND t.production_year > 2008 AND it2.id = mi_idx.info_type_id AND mi.movie_id = mi_idx.movie_id AND kt.id = t.kind_id | job |
SELECT SUM(l_extendedprice) / 7.0 AS avg_yearly FROM lineitem, part WHERE p_brand = 1 AND p_partkey = l_partkey AND p_container = 1 AND l_quantity < ( SELECT 0.2 * AVG(l_quantity) FROM lineitem WHERE l_partkey = p_partkey ) LIMIT 500; | tpch |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = v.PostId AND p.Id = c.PostId AND p.Id = pl.PostId AND p.FavoriteCount >= 0 AND pl.LinkTypeId = 1 AND p.Id = ph.PostId AND c.Score = 0 | stats |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE n1.n_regionkey = r_regionkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_nationkey = n2.n_nationkey AND o_custkey = c_custkey AND c_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey AND r_name = 1 AND p_partkey = l_partkey AND p_type = 1 ) AS all_nations AND l_orderkey = o_orderkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT * FROM ( SELECT AVG(ss_list_price) AS b1_lp, COUNT(ss_list_price) AS b1_cnt, COUNT(DISTINCT ss_list_price) AS b1_cntd FROM store_sales WHERE ss_quantity >= 0 AND ss_quantity <= 5 AND (ss_list_price BETWEEN 18 AND 18 + 10 OR ss_coupon_amt BETWEEN 510 AND 510 + 1000 OR ss_wholesale_cost BETWEEN 78 AND 78 + 20) ) AS b1, ( SELECT AVG(ss_list_price) AS b2_lp, COUNT(ss_list_price) AS b2_cnt, COUNT(DISTINCT ss_list_price) AS b2_cntd FROM store_sales WHERE ss_quantity BETWEEN 6 AND 10 AND (ss_list_price BETWEEN 98 AND 98 + 10 OR ss_coupon_amt BETWEEN 2733 AND 2733 + 1000 OR ss_wholesale_cost BETWEEN 77 AND 77 + 20) ) AS b2, ( SELECT AVG(ss_list_price) AS b3_lp, COUNT(ss_list_price) AS b3_cnt, COUNT(DISTINCT ss_list_price) AS b3_cntd FROM store_sales WHERE ss_quantity BETWEEN 11 AND 15 AND (ss_list_price BETWEEN 71 AND 71 + 10 OR ss_coupon_amt BETWEEN 1905 AND 1905 + 1000 OR ss_wholesale_cost BETWEEN 61 AND 61 + 20) ) AS b3; | tpcds |
SELECT s_store_id, SUM(cs_quantity) AS catalog_sales_quantity, i_item_id, i_item_desc, SUM(ss_quantity) AS store_sales_quantity, s_store_name, SUM(sr_return_quantity) AS store_returns_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 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 SUM(l_extendedprice * (1 - l_discount)) AS revenue, n_name FROM customer, orders, lineitem, supplier, nation, region WHERE o_orderdate >= DATE 1 AND n_regionkey = r_regionkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND l_suppkey = s_suppkey AND r_name = 1 AND s_nationkey = n_nationkey AND c_nationkey = s_nationkey AND c_custkey = o_custkey AND l_orderkey = o_orderkey GROUP BY n_name ORDER BY revenue DESC | tpch |
Select c_last_name, c_first_name, ss_ticket_number, cnt, c_salutation, c_preferred_cust_flag From ( Select ss_ticket_number, ss_customer_sk, Count(*) As cnt From store_sales Join date_dim On ss_sold_date_sk = d_date_sk Join store On ss_store_sk = s_store_sk Join household_demographics On ss_hdemo_sk = hd_demo_sk Where (d_dom Between 1 And 3 Or d_dom Between 25 And 28) And (hd_buy_potential = '>10000' Or hd_buy_potential = 'Unknown') And hd_vehicle_count > 0 And (Case When hd_vehicle_count > 0 Then hd_dep_count / hd_vehicle_count Else NULL End) > 1.79 And d_year In (2000, 2002, 2003) And s_county In ('Bronz County', 'Daviess County', 'Maricopa 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; | tpcds |
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 p.Id = ph.PostId AND b.UserId = u.Id AND p.Id = v.PostId AND pl.LinkTypeId = 1 AND p.Id = c.PostId AND p.Score <= 40 AND p.Id = pl.RelatedPostId | stats |
select avg(ss_sales_price) as agg4, avg(ss_coupon_amt) as agg3, avg(ss_list_price) as agg2, i_item_id, avg(ss_quantity) as agg1 from store_sales inner join customer_demographics on ss_cdemo_sk = cd_demo_sk inner join date_dim on ss_sold_date_sk = d_date_sk inner join item on ss_item_sk = i_item_sk inner join promotion on ss_promo_sk = p_promo_sk where cd_gender = 'M' and cd_marital_status = 'D' and cd_education_status = 'Unknown' and (p_channel_email = 'N' or p_channel_event = 'N') and d_year = 2002 group by i_item_id order by i_item_id; | tpcds |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND s_nationkey = n_nationkey AND p_size = 1 AND p_type LIKE 1 AND s_suppkey = ps_suppkey AND p_partkey = ps_partkey AND r_name = 1 AND n_regionkey = r_regionkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | 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 ml.movie_id = mi.movie_id AND it.info = 'release dates' AND ct.id = mc.company_type_id AND ml.movie_id = mk.movie_id AND t.id = ml.movie_id AND it.id = mi.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND k.keyword = ANY(ARRAY['sequel', 'revenge', 'based-on-novel']) AND k.id = mk.keyword_id AND mi.note LIKE '%internet%' AND t.id = mk.movie_id AND cn.country_code = '[us]' AND t.id = mc.movie_id AND mk.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND mi.movie_id = t.id AND ml.movie_id = mc.movie_id AND lt.id = ml.link_type_id AND cn.id = mc.company_id AND lt.link LIKE '%follow%' AND mi.info LIKE 'USA:% 199%' AND t.production_year > 1950 | 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 cn.id = mc.company_id AND k.keyword ='character-name-in-title' AND mk.keyword_id = k.id AND mc.movie_id = t.id AND t.id = mk.movie_id AND cn.country_code ='[de]' AND mc.movie_id = mk.movie_id | job |
SELECT AVG(ss_quantity) AS store_sales_quantityave, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, i_item_id, COUNT(ss_quantity) AS store_sales_quantitycount, i_item_desc, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, s_state, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(cs_quantity) AS catalog_sales_quantitycount FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '1999Q2' AND d2.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') AND d3.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT 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 k.id = mk.keyword_id AND t.id = mk.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND t.production_year > 2010 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 s_suppkey = l_suppkey AND s_nationkey = n_nationkey AND ps_suppkey = l_suppkey AND o_orderkey = l_orderkey AND ps_partkey = l_partkey AND p_partkey = l_partkey AND p_name LIKE 1 ) AS profit GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT l_returnflag, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_extendedprice) AS avg_price, COUNT(*) AS count_order, SUM(l_quantity) AS sum_qty, AVG(l_discount) AS avg_disc, SUM(l_extendedprice) AS sum_base_price, AVG(l_quantity) AS avg_qty, l_linestatus, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge 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(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 = t.id AND ci.movie_id = mk.movie_id AND mc.company_id = cn.id AND cn.country_code = '[us]' AND mc.movie_id = mk.movie_id AND t.id = mc.movie_id AND k.keyword = 'character-name-in-title' AND t.episode_nr >= 50 AND t.episode_nr < 100 AND mk.keyword_id = k.id AND an.person_id = n.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND t.id = mk.movie_id AND n.id = ci.person_id | job |
select count(*) from comments as c, posts as p, postHistory as ph, votes as v, users as u where p.Score <= 13 and p.AnswerCount >= 0 and c.UserId = p.OwnerUserId and ph.UserId = v.UserId and p.OwnerUserId = ph.UserId and u.Id = c.UserId | stats |
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 ('Bronz County', 'Barrow County', 'Jackson County') AND d_year In (2001, 2002, 2003) AND hd_vehicle_count > 0 AND (Case When hd_vehicle_count > 0 Then hd_dep_count / hd_vehicle_count Else NULL End) > 1.37 AND (d_dom BETWEEN 1 AND 3 Or d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' Or hd_buy_potential = 'Unknown') Group By ss_ticket_number, ss_customer_sk ) As dn Join customer On ss_customer_sk = c_customer_sk Where cnt Between 15 And 20 Order By c_last_name, c_first_name, c_salutation, cnt Desc Limit 100; | tpcds |
select avg(cs_coupon_amt) as agg3, avg(cs_list_price) as agg2, i_item_id, avg(cs_sales_price) as agg4, avg(cs_quantity) as agg1 from catalog_sales join customer_demographics on cs_bill_cdemo_sk = cd_demo_sk join date_dim on cs_sold_date_sk = d_date_sk join item on cs_item_sk = i_item_sk join promotion on cs_promo_sk = p_promo_sk where (p_channel_email = 'N' or p_channel_event = 'N') AND d_year = 1999 AND cd_gender = 'F' AND cd_marital_status = 'S' AND cd_education_status = 'Advanced Degree' group by i_item_id order by i_item_id limit 100; | tpcds |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b WHERE pl.LinkTypeId = 1 AND p.Id = c.PostId AND p.Id = ph.PostId AND p.Id = v.PostId AND c.Score = 0 AND p.Id = pl.RelatedPostId AND b.UserId = c.UserId LIMIT 10; | stats |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND s_suppkey = l1.l_suppkey AND o_orderkey = l1.l_orderkey 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 n_name = 1 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 ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | 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 mc.note like '%(USA)%' AND ml.movie_id = mi.movie_id AND ml.movie_id = mk.movie_id AND mi.movie_id = t.id AND mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' AND k.id = mk.keyword_id AND mi.note like '%internet%' AND cn.id = mc.company_id AND cn.country_code = '[us]' AND mi.info like 'USA:% 199%' AND it.id = mi.info_type_id AND lt.link like '%follow%' AND t.production_year > 1950 AND t.id = mc.movie_id AND ml.movie_id = mc.movie_id AND it.info = 'release dates' AND mk.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND t.id = mk.movie_id AND lt.id = ml.link_type_id AND k.keyword in ('sequel', 'revenge', 'based-on-novel') AND t.id = ml.movie_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 mi.movie_id = miidx.movie_id AND ct.kind = 'production companies' AND mi.movie_id = t.id AND kt.id = t.kind_id AND mc.movie_id = t.id AND miidx.movie_id = t.id AND cn.country_code = '[de]' AND it2.info = 'release dates' AND it2.id = mi.info_type_id AND it.id = miidx.info_type_id AND kt.kind = 'movie' AND miidx.movie_id = mc.movie_id AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND ct.id = mc.company_type_id | job |
SELECT AVG(ss_quantity), AVG(ss_ext_wholesale_cost), AVG(ss_ext_sales_price), SUM(ss_ext_wholesale_cost) FROM store_sales INNER JOIN store ON s_store_sk = ss_store_sk INNER JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk INNER JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk INNER JOIN customer_address ON ca_address_sk = ss_addr_sk INNER JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 77 AND 143) OR (cd_marital_status = 'M' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 99 AND 100) OR (cd_marital_status = 'W' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 134 AND 179) ) AND ca_country = 'United States' AND d_year = 2001 AND ( (hd_dep_count = 2 AND hd_vehicle_count <= 3) OR (hd_dep_count = 4 AND hd_vehicle_count <= 3) OR (hd_dep_count = 5 AND hd_vehicle_count <= 5) ) AND s_market_id = 9 AND ca_state IN ('TX', 'GA', 'NC') | tpcds |
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 s_nationkey = n1.n_nationkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND c_nationkey = n2.n_nationkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND o_orderkey = l_orderkey AND c_custkey = o_custkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | 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 cd_education_status = 'Unknown' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'M' AND d_year = 2002 AND cd_marital_status = 'D' GROUP BY i_item_id ORDER BY i_item_id; | tpcds |
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 cn.country_code = '[us]' AND ci.role_id = rt.id AND t.production_year > 2000 AND chn.id = ci.person_role_id AND n.id = ci.person_id AND mc.note LIKE '%(USA)%' AND mi.movie_id = mc.movie_id AND t.id = ci.movie_id AND n.gender = 'f' AND mi.movie_id = ci.movie_id AND t.id = mc.movie_id AND ci.person_id = an.person_id AND an.person_id = n.id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.movie_id = mc.movie_id AND it.info = 'release dates' AND cn.id = mc.company_id AND t.id = mi.movie_id AND it.id = mi.info_type_id AND rt.role = 'actress' | 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 ci.movie_id = mk.movie_id AND t.production_year > 2010 AND n.name LIKE '%Downey%Robert%' AND k.keyword = 'marvel-cinematic-universe' AND k.id = mk.keyword_id AND t.id = ci.movie_id AND n.id = ci.person_id AND t.id = mk.movie_id | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.id = mk.keyword_id AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND k.keyword LIKE '%sequel%' AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.production_year > 2010 AND t.id = mk.movie_id LIMIT 500; | 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 cn.id = mc.company_id AND mi_idx.info < '3.5' AND t.id = mc.movie_id AND it2.id = mi.info_type_id AND mi_idx.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND t.production_year > 2000 AND t.id = mi_idx.movie_id AND at.movie_id = mi.movie_id AND kt.id = t.kind_id AND mi.info LIKE 'USA:%200%' AND kt.kind = 'movie' AND at.movie_id = mc.movie_id AND it1.info = 'rating' AND it2.info = 'release dates' AND it1.id = mi_idx.info_type_id AND t.id = mi.movie_id AND t.id = at.movie_id AND cn.country_code = '[us]' AND at.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND at.title LIKE '%Champion%' | job |
SELECT extended_tax, bought_city, c_first_name, c_last_name, extended_price, ss_ticket_number, ca_city, list_price FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 5 OR hd_vehicle_count = 0) AND d_dow IN (6, 0) AND d_year IN (1999, 2002, 2003) AND s_city IN ('Clinton', 'Oak Grove') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT MIN(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 ci.role_id = rt.id AND mi.movie_id = ci.movie_id AND t.id = ci.movie_id AND it.info = 'release dates' AND ci.person_id = an.person_id AND t.id = mi.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.movie_id = mc.movie_id AND t.production_year > 2000 AND an.person_id = n.id AND mi.movie_id = mc.movie_id AND n.id = ci.person_id AND mc.note LIKE '%(USA)%' AND chn.id = ci.person_role_id AND it.id = mi.info_type_id AND n.gender = 'f' AND cn.id = mc.company_id AND cn.country_code = '[us]' AND rt.role = 'actress' AND t.id = mc.movie_id LIMIT 50; | job |
WITH _q AS ( 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_suppkey = l_suppkey AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey AND ps_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND ps_suppkey = l_suppkey AND p_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC ) SELECT * FROM _q; | tpch |
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_orderkey = l1.l_orderkey AND s_suppkey = l1.l_suppkey AND n_name = 1 AND o_orderstatus = 'F' AND l1.l_receiptdate > l1.l_commitdate AND s_nationkey = n_nationkey AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT 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 ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND n.id = ci.person_id AND t.production_year > 2010 AND t.id = ci.movie_id AND k.id = mk.keyword_id | job |
SELECT MIN(mc.note) AS production_note, MIN(t.production_year) AS movie_year, MIN(t.title) AS movie_title 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 mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND ct.kind = 'production companies' AND t.id = mi_idx.movie_id AND it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi.movie_id AND mi.info in ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.production_year > 2010 AND k.id = mk.keyword_id AND k.keyword like '%sequel%' | job |
Select c_comment, n_name, c_acctbal, c_phone, c_custkey, c_address, c_name, 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 Desc Limit 20 | 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 n.id = ci.person_id AND cn.country_code = '[us]' AND an.person_id = n.id AND t.episode_nr < 100 AND ci.movie_id = mc.movie_id AND k.keyword = 'character-name-in-title' AND ci.movie_id = t.id AND mk.keyword_id = k.id AND mc.company_id = cn.id AND t.id = mc.movie_id AND an.person_id = ci.person_id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND t.episode_nr >= 50 | job |
SELECT SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_name, c_address, c_comment, n_name, c_acctbal, c_custkey, 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 MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.production_year > 2000 AND t.id = mk.movie_id AND k.id = mk.keyword_id AND k.keyword LIKE '%sequel%' AND mk.movie_id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mi.movie_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 mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND it.id = mi.info_type_id AND ct.kind = 'production companies' AND it.info = 'bottom 10 rank' | 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 k.id = mk.keyword_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND n.name like '%Downey%Robert%' AND n.id = ci.person_id AND t.id = mk.movie_id | job |
WITH _q AS ( Select cntrycode, Count(*) As numcust, Sum(c_acctbal) As totacctbal From ( Select SUBSTRING(c_phone From 1 FOR 2) As cntrycode, c_acctbal From customer Where c_acctbal > ( Select Avg(c_acctbal) From customer Where c_acctbal > 0.00 And SUBSTRING(c_phone From 1 FOR 2) In (1, 1, 1, 1, 1, 1, 1) ) And SUBSTRING(c_phone From 1 FOR 2) In (1, 1, 1, 1, 1, 1, 1) And Not Exists ( Select * From orders Where o_custkey = c_custkey ) ) As custsale Group By cntrycode Order By cntrycode ) SELECT * FROM _q; | tpch |
SELECT MIN(t.title) AS western_sequel, MIN(cn.name) AS from_company, MIN(lt.link) AS link_type 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 = mk.movie_id AND it.info = 'release dates' AND mk.movie_id = mc.movie_id AND t.id = mk.movie_id AND ct.id = mc.company_type_id AND lt.id = ml.link_type_id AND k.id = mk.keyword_id AND mc.note LIKE '%(USA)%' AND t.id = ml.movie_id AND cn.country_code = '[us]' AND mi.movie_id = t.id AND ml.movie_id = mi.movie_id AND t.production_year > 1950 AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND cn.id = mc.company_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND it.id = mi.info_type_id AND mi.info LIKE 'USA:% 199%' AND ml.movie_id = mc.movie_id AND mi.note LIKE '%internet%' AND t.id = mc.movie_id | job |
select sum(ss_ext_sales_price) as ext_price, i_manufact, i_manufact_id, i_brand_id as brand_id, i_brand as brand from date_dim INNER JOIN store_sales on d_date_sk = ss_sold_date_sk INNER JOIN item on ss_item_sk = i_item_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 store on ss_store_sk = s_store_sk where d_moy = 11 and d_year = 2002 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 Sum(l_extendedprice * (1 - l_discount)) As revenue, n_name From customer, orders, lineitem, supplier, nation, region Where c_custkey = o_custkey And l_orderkey = o_orderkey And l_suppkey = s_suppkey And c_nationkey = s_nationkey And s_nationkey = n_nationkey And n_regionkey = r_regionkey And r_name = 1 And o_orderdate >= DATE 1 And o_orderdate < DATE 1 + INTERVAL '1' YEAR Group By n_name Order By revenue Desc Limit 500; | tpch |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.production_year > 2000 AND k.keyword LIKE '%sequel%' AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German']) | 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 t.id = mc.movie_id AND it.info = 'bottom 10 rank' AND it.id = mi.info_type_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi.movie_id AND ct.kind = 'production companies' | job |
Select i_item_desc, i_item_id, Sum(ss_quantity) As store_sales_quantity, s_store_id, Sum(sr_return_quantity) As store_returns_quantity, Sum(cs_quantity) As catalog_sales_quantity, s_store_name 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 = 10 And d1.d_year = 2000 And d2.d_moy Between 10 And 10 + 3 And d2.d_year = 2000 And d3.d_moy Between 10 And 10 + 3 And d3.d_year = 2000 Group By i_item_id, i_item_desc, s_store_id, s_store_name Order By i_item_id, i_item_desc, s_store_id, s_store_name Limit 100; | tpcds |
SELECT i_brand_id AS brand_id, i_brand AS brand, i_manufact_id, i_manufact, SUM(ss_ext_sales_price) AS ext_price 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 substr(ca_zip, 1, 5) != substr(s_zip, 1, 5) AND d_moy = 12 AND d_year = 1999 AND i_manager_id = 3 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 mc.movie_id = t.id and mk.keyword_id = k.id and k.keyword ='character-name-in-title' and t.id = mk.movie_id and cn.country_code ='[nl]' and cn.id = mc.company_id and mc.movie_id = mk.movie_id | job |
WITH _q AS ( SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.id = mk.keyword_id AND k.keyword LIKE '%sequel%' AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.id = mi.movie_id AND t.production_year > 2005 AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id ) SELECT * FROM _q; | 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_shipdate < l_commitdate AND o_orderkey = l_orderkey AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode in (1, 1) AND l_commitdate < l_receiptdate AND l_receiptdate >= DATE 1 group by l_shipmode order by l_shipmode | tpch |
SELECT AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), AVG(ss_quantity), SUM(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ( (hd_dep_count = 1 AND hd_vehicle_count <= 4) OR (hd_dep_count = 3 AND hd_vehicle_count <= 4) OR (hd_dep_count = 6 AND hd_vehicle_count <= 3) ) AND ca_country = 'United States' AND ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 89 AND 113) OR (cd_marital_status = 'M' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 53 AND 128) OR (cd_marital_status = 'D' AND cd_education_status = 'Advanced Degree' AND ss_sales_price BETWEEN 110 AND 166) ) AND ca_state = ANY(ARRAY['TX', 'WA', 'FL']) AND d_year = 2002 AND s_market_id = 8 | tpcds |
Select Avg(ss_sales_price) As agg4, i_item_id, Avg(ss_list_price) As agg2, Avg(ss_coupon_amt) As agg3, Avg(ss_quantity) As agg1 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 = 'M' And cd_marital_status = 'D' And cd_education_status = 'Unknown' And (p_channel_email = 'N' Or p_channel_event = 'N') And d_year = 2002 Group By i_item_id Order By i_item_id Limit 100; | tpcds |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND s_suppkey = ps_suppkey AND p_type LIKE 1 AND r_name = 1 AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND p_size = 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
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