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SELECT MAX(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.production_year > 2000 AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND k.keyword LIKE '%sequel%' AND t.id = mk.movie_id | job |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE o_orderkey = l_orderkey AND p_partkey = l_partkey AND s_nationkey = n_nationkey AND ps_suppkey = l_suppkey AND ps_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 MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE t.production_year > 2000 AND t.id = at.movie_id AND at.title LIKE '%Champion%' AND mi.movie_id = mc.movie_id AND it2.info = 'release dates' AND mi.movie_id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND mi_idx.movie_id = mc.movie_id AND cn.country_code = '[us]' AND mi_idx.info < '3.5' AND it1.info = 'rating' AND cn.id = mc.company_id AND t.id = mi_idx.movie_id AND at.movie_id = mi_idx.movie_id AND it1.id = mi_idx.info_type_id AND it2.id = mi.info_type_id AND t.id = mi.movie_id AND t.id = mc.movie_id AND at.movie_id = mi.movie_id AND at.movie_id = mc.movie_id AND kt.kind = 'movie' AND kt.id = t.kind_id | job |
SELECT c_salutation, cnt, c_last_name, c_first_name, c_preferred_cust_flag, ss_ticket_number FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(1) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (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 LIMIT 100; | tpcds |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where k.id = mk.keyword_id AND t.production_year > 2010 AND mk.movie_id = mi.movie_id AND k.keyword Like '%sequel%' AND t.id = mk.movie_id AND mi.info In ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mi.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.keyword LIKE '%sequel%' AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.production_year > 2010 ) SELECT * FROM _q; | job |
SELECT MIN(t.title) AS series_named_after_char, MIN(an.name) AS cool_actor_pseudonym 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 mk.keyword_id = k.id AND mc.company_id = cn.id AND an.person_id = n.id AND an.person_id = ci.person_id AND t.id = mk.movie_id AND cn.country_code = '[us]' AND t.id = mc.movie_id AND t.episode_nr < 100 AND n.id = ci.person_id AND ci.movie_id = mc.movie_id AND mc.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND t.episode_nr >= 50 AND k.keyword = 'character-name-in-title' AND ci.movie_id = t.id | job |
SELECT STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, AVG(ss_quantity) AS store_sales_quantityave, COUNT(ss_quantity) AS store_sales_quantitycount, i_item_id, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, i_item_desc, s_state, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, AVG(cs_quantity) AS catalog_sales_quantityave, COUNT(sr_return_quantity) AS store_returns_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 = '1999Q1' AND d2.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') AND d3.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') 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(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.movie_id = mc.movie_id AND mi.movie_id = ci.movie_id AND t.production_year > 2000 AND mi.movie_id = mc.movie_id AND cn.country_code = '[us]' AND chn.id = ci.person_role_id AND t.id = mi.movie_id AND rt.role = 'actress' AND an.person_id = n.id AND it.info = 'release dates' AND t.id = mc.movie_id AND it.id = mi.info_type_id AND mc.note LIKE '%(USA)%' AND n.gender = 'f' AND ci.role_id = rt.id AND cn.id = mc.company_id AND t.id = ci.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.person_id = an.person_id AND n.id = ci.person_id LIMIT 500; | job |
SELECT p_partkey, n_name, s_address, s_name, s_comment, s_acctbal, s_phone, p_mfgr 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(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.id = mc.company_id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND cn.country_code ='[de]' AND mk.keyword_id = k.id AND mc.movie_id = t.id | job |
Select Count(*) From comments As c, postHistory As ph, votes As v, users As u Where v.UserId = ph.UserId And ph.UserId = c.UserId And u.DownVotes >= 0 And u.Views >= 0 And u.Id = v.UserId And u.UpVotes <= 123 | stats |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE p.Id = pl.RelatedPostId AND c.UserId = u.Id AND b.UserId = u.Id AND p.Id = v.PostId AND p.Id = c.PostId AND p.Id = ph.PostId AND p.Score <= 40 AND pl.LinkTypeId = 1 | stats |
SELECT SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share, o_year 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 p_partkey = l_partkey AND s_nationkey = n2.n_nationkey AND p_type = 1 ) AS all_nations AND c_nationkey = n1.n_nationkey AND o_custkey = c_custkey AND l_orderkey = o_orderkey AND s_suppkey = l_suppkey AND r_name = 1 AND n1.n_regionkey = r_regionkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' GROUP BY o_year ORDER BY o_year | tpch |
SELECT CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100, promotions, total FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND i_category = 'Jewelry' AND s_gmt_offset = -5 AND s_gmt_offset = -5 AND d_moy = 8 ) AS all_sales AND d_year = 2001 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 = -5 AND ca_gmt_offset = -5 AND d_year = 2001 AND i_category = 'Jewelry' ORDER BY promotions, total LIMIT 100; | tpcds |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, users as u where u.Id = p.OwnerUserId and p.AnswerCount >= 0 and p.Id = ph.PostId and p.Id = c.PostId and p.Id = v.PostId and p.PostTypeId = 1 and p.Id = pl.PostId | stats |
Select Count(*) From postHistory As ph, posts As p, votes As v, badges As b, users As u, comments As c Where p.Id = c.PostId AND p.ViewCount >= 0 AND p.Id = ph.PostId AND u.Id = p.OwnerUserId AND u.Id = b.UserId AND p.Score <= 192 AND p.Id = v.PostId | stats |
SELECT SUM(cs_quantity) AS catalog_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, SUM(ss_quantity) AS store_sales_quantity, s_store_name, s_store_id, i_item_desc, i_item_id FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_moy = 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 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 (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) > 1.56 AND s_county IN ('Williamson County', 'Washington County', 'Placer County') AND d_year IN (2000, 2000, 2003) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') 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 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 ci.note = '(voice: English version)' AND mc.note NOT LIKE '%(USA)%' AND mc.company_id = cn.id AND n1.id = ci.person_id AND an1.person_id = ci.person_id AND an1.person_id = n1.id AND ci.role_id = rt.id AND ci.movie_id = t.id AND rt.role = 'actress' AND t.id = mc.movie_id AND cn.country_code = '[jp]' AND n1.name NOT LIKE '%Yu%' AND ci.movie_id = mc.movie_id | job |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE cn.country_code = '[ru]' AND rt.role = 'actor' AND ci.note LIKE '%(uncredited)%' AND chn.id = ci.person_role_id AND ci.note LIKE '%(voice)%' AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ci.movie_id = mc.movie_id AND t.id = ci.movie_id AND t.production_year > 2005 | job |
SELECT COUNT(1) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE u.Id = p.OwnerUserId AND p.Id = ph.PostId AND p.ViewCount >= 0 AND p.Id = c.PostId AND u.Id = b.UserId AND p.Score <= 192 AND p.Id = v.PostId | stats |
SELECT MIN(t.title) AS western_violent_movie, MIN(mi_idx.info) AS rating, MIN(cn.name) AS movie_company 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 mc.movie_id = mi_idx.movie_id AND kt.kind IN ('movie', 'episode') AND cn.country_code != '[us]' AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND it1.id = mi.info_type_id AND t.id = mk.movie_id AND it1.info = 'countries' AND t.production_year > 2008 AND k.id = mk.keyword_id AND mc.note LIKE '%(200%)%' AND t.id = mi.movie_id AND it2.info = 'rating' AND kt.id = t.kind_id AND it2.id = mi_idx.info_type_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mi_idx.info < '7.0' AND ct.id = mc.company_type_id AND mi.movie_id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mi.movie_id = mc.movie_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND cn.id = mc.company_id AND t.id = mi_idx.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.id = mk.keyword_id AND t.id = mk.movie_id AND k.keyword LIKE '%sequel%' AND t.production_year > 2000 AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id LIMIT 10; | job |
SELECT i_item_id, s_store_id, MAX(cs_net_profit) AS catalog_sales_profit, s_store_name, i_item_desc, MAX(ss_net_profit) AS store_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 d3.d_moy BETWEEN 2 AND 8 + 3 AND d1.d_year = 2001 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2001 AND d3.d_year = 2001 AND d1.d_moy BETWEEN 2 AND 8 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.Id = c.PostId AND p.AnswerCount >= 0 AND p.PostTypeId = 1 AND p.Id = v.PostId AND p.Id = pl.PostId AND p.Id = ph.PostId AND u.Id = p.OwnerUserId | 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 o_custkey = c_custkey AND p_type = 1 ) AS all_nations AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND s_nationkey = n2.n_nationkey AND r_name = 1 AND n1.n_regionkey = r_regionkey AND c_nationkey = n1.n_nationkey AND l_orderkey = o_orderkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.id = mc.company_type_id AND t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' 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_idx.movie_id AND it.info = 'top 250 rank' | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND cn.country_code ='[sm]' AND mk.keyword_id = k.id AND cn.id = mc.company_id AND k.keyword ='character-name-in-title' LIMIT 500; | job |
SELECT i_item_id, AVG(cs_quantity) AS agg1, AVG(cs_sales_price) AS agg4, AVG(cs_list_price) AS agg2, AVG(cs_coupon_amt) AS agg3 FROM catalog_sales JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk JOIN item ON cs_item_sk = i_item_sk JOIN promotion ON cs_promo_sk = p_promo_sk WHERE cd_gender = 'M' AND cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND d_year = 1999 AND (p_channel_email = 'N' OR p_channel_event = 'N') GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, AVG(ss_quantity) AS store_sales_quantityave, i_item_desc, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, s_state, i_item_id, AVG(cs_quantity) AS catalog_sales_quantityave, AVG(sr_return_quantity) AS store_returns_quantityave, COUNT(sr_return_quantity) AS store_returns_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 avg(cs_sales_price) as agg4, avg(cs_list_price) as agg2, i_item_id, avg(cs_coupon_amt) as agg3, 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 cd_gender = 'M' and cd_marital_status = 'S' and cd_education_status = 'Advanced Degree' 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 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 d_moy = 8 ) AS all_sales AND ca_gmt_offset = -7 AND d_year = 1998 AND s_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 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 i_category = 'Music' AND d_year = 1998 ORDER BY promotions, total LIMIT 100; | tpcds |
Select Count(*) From comments As c, posts As p, votes As v, users As u Where u.Id = p.OwnerUserId And u.Id = c.UserId And u.Id = v.UserId And p.Score >= 0 And c.Score = 0 And p.ViewCount >= 0 | stats |
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 n.id = ci.person_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND t.production_year > 2010 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND n.name LIKE '%Downey%Robert%' AND k.keyword = 'marvel-cinematic-universe' | 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 = c.PostId AND p.Id = ph.PostId AND p.Id = v.PostId AND u.Id = p.OwnerUserId AND p.Id = pl.PostId AND p.PostTypeId = 1 AND p.AnswerCount >= 0 | stats |
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_partkey = l_partkey AND s_suppkey = l_suppkey AND ps_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND s_nationkey = n_nationkey AND ps_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year ASC | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b WHERE p.Id = pl.RelatedPostId AND p.Id = v.PostId AND p.Id = c.PostId AND b.UserId = c.UserId AND c.Score = 0 AND pl.LinkTypeId = 1 AND p.Id = ph.PostId LIMIT 10; | stats |
SELECT COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, i_item_id, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, s_state, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, i_item_desc, COUNT(sr_return_quantity) AS store_returns_quantitycount FROM store_sales INNER JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number INNER JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk INNER JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk INNER JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk INNER JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER 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 extended_tax, list_price, bought_city, ca_city, extended_price, ss_ticket_number, c_last_name, c_first_name FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 5 OR hd_vehicle_count = 2) AND d_dow IN (6, 0) AND d_year IN (2001, 2001, 2001) AND s_city IN ('Clinton', 'Glendale') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, movie_info_idx AS mi_idx, title AS t WHERE it.info ='rating' AND t.production_year BETWEEN 2000 AND 2010 AND mi_idx.info > '7.0' AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id | job |
SELECT s_name, s_address, total_revenue, s_suppkey, s_phone FROM supplier, revenue0 WHERE total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) AND s_suppkey = supplier_no ORDER BY s_suppkey | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE l_suppkey = s_suppkey AND o_orderdate >= DATE 1 AND r_name = 1 AND c_nationkey = s_nationkey AND n_regionkey = r_regionkey AND c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND s_nationkey = n_nationkey AND l_orderkey = o_orderkey GROUP BY n_name ORDER BY revenue DESC | tpch |
select min(t.title) as movie_title from company_name as cn, keyword as k, movie_companies as mc, movie_keyword as mk, title as t where t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND cn.country_code ='[de]' AND mc.movie_id = t.id AND mk.keyword_id = k.id AND k.keyword ='character-name-in-title' AND cn.id = mc.company_id LIMIT 200; | job |
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 mc.note LIKE '%(USA)%' AND mi.movie_id = ci.movie_id AND mi.movie_id = mc.movie_id AND t.id = mc.movie_id AND an.person_id = n.id AND it.id = mi.info_type_id AND ci.role_id = rt.id AND it.info = 'release dates' AND t.production_year > 2000 AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = mi.movie_id AND rt.role = 'actress' AND n.id = ci.person_id AND cn.id = mc.company_id AND n.gender = 'f' AND cn.country_code = '[us]' AND t.id = ci.movie_id AND ci.movie_id = mc.movie_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 mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi_idx.movie_id | job |
Select c_salutation, cnt, c_preferred_cust_flag, c_first_name, 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 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) > 1.57 And d_year In (2000, 2002, 2001) And s_county In ('Franklin County', 'Daviess County', 'Jackson County') Group By ss_ticket_number, ss_customer_sk ) As dn Join customer On ss_customer_sk = c_customer_sk Where cnt Between 15 And 20 Order By c_last_name, c_first_name, c_salutation, cnt Desc Limit 100; | tpcds |
SELECT COUNT(1) FROM comments AS c, votes AS v, badges AS b, users AS u WHERE u.CreationDate >= '2010-07-20 01:27:29'::timestamp AND u.Id = c.UserId AND c.Score = 1 AND u.Id = v.UserId AND u.Id = b.UserId LIMIT 10; | stats |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE lt.id = ml.link_type_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.note = 'Volker Boehm' AND ml.linked_movie_id = t.id AND pi.person_id = ci.person_id AND t.id = ci.movie_id AND it.info = 'mini biography' AND an.person_id = ci.person_id AND n.id = an.person_id AND t.production_year BETWEEN 1980 AND 1995 AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND ci.person_id = n.id AND pi.person_id = an.person_id AND an.name LIKE '%a%' AND ci.movie_id = ml.linked_movie_id AND n.id = pi.person_id AND it.id = pi.info_type_id AND lt.link = 'features' | job |
select n_name, s_phone, s_acctbal, s_name, p_partkey, s_comment, s_address, p_mfgr from part, supplier, partsupp, nation, region where r_name = 1 AND p_partkey = ps_partkey AND s_nationkey = n_nationkey 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 n_regionkey = r_regionkey AND s_suppkey = ps_suppkey AND p_type like 1 AND p_size = 1 order by s_acctbal desc, n_name, s_name, p_partkey limit 100 | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND r_name = 1 AND l_suppkey = s_suppkey AND c_custkey = o_custkey AND c_nationkey = s_nationkey AND n_regionkey = r_regionkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND s_nationkey = n_nationkey GROUP BY n_name ORDER BY revenue DESC | tpch |
Select Min(k.keyword) As movie_keyword, Min(n.name) As actor_name, Min(t.title) As marvel_movie From cast_info As ci, keyword As k, movie_keyword As mk, name As n, title As t Where t.id = mk.movie_id And ci.movie_id = mk.movie_id And t.production_year > 2010 And t.id = ci.movie_id And k.keyword = 'marvel-cinematic-universe' And n.name Like '%Downey%Robert%' And k.id = mk.keyword_id And n.id = ci.person_id | job |
SELECT SUM(ss_quantity) AS store_sales_quantity, s_store_name, i_item_id, SUM(cs_quantity) AS catalog_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, i_item_desc, s_store_id FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_moy = 10 AND d3.d_year = 2000 AND d3.d_moy BETWEEN 10 AND 10 + 3 AND d2.d_year = 2000 AND d1.d_year = 2000 AND d2.d_moy BETWEEN 10 AND 10 + 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 nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE p_partkey = l_partkey AND ps_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND ps_partkey = l_partkey AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey AND s_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
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 n_regionkey = r_regionkey AND ps_supplycost = ( select min(ps_supplycost) from partsupp, supplier, nation, region where p_partkey = ps_partkey and s_suppkey = ps_suppkey and s_nationkey = n_nationkey and n_regionkey = r_regionkey and r_name = 1 ) AND r_name = 1 AND s_nationkey = n_nationkey AND p_type like 1 AND p_size = 1 AND s_suppkey = ps_suppkey order by s_acctbal desc, n_name, s_name, p_partkey limit 100 | tpch |
Select i_item_id, i_item_desc, s_state, Count(ss_quantity) As store_sales_quantitycount, Avg(ss_quantity) As store_sales_quantityave, STDDEV_SAMP(ss_quantity) As store_sales_quantitystdev, STDDEV_SAMP(ss_quantity) / Avg(ss_quantity) As store_sales_quantitycov, Count(sr_return_quantity) As store_returns_quantitycount, Avg(sr_return_quantity) As store_returns_quantityave, STDDEV_SAMP(sr_return_quantity) As store_returns_quantitystdev, STDDEV_SAMP(sr_return_quantity) / Avg(sr_return_quantity) As store_returns_quantitycov, Count(cs_quantity) As catalog_sales_quantitycount, Avg(cs_quantity) As catalog_sales_quantityave, STDDEV_SAMP(cs_quantity) / Avg(cs_quantity) As catalog_sales_quantitycov From store_sales INNER JOIN store_returns On ss_customer_sk = sr_customer_sk And ss_item_sk = sr_item_sk And ss_ticket_number = sr_ticket_number INNER JOIN catalog_sales On sr_customer_sk = cs_bill_customer_sk And sr_item_sk = cs_item_sk INNER JOIN date_dim As d1 On d1.d_date_sk = ss_sold_date_sk INNER JOIN date_dim As d2 On sr_returned_date_sk = d2.d_date_sk INNER JOIN date_dim As d3 On cs_sold_date_sk = d3.d_date_sk INNER JOIN store On ss_store_sk = s_store_sk INNER JOIN item On ss_item_sk = i_item_sk Where d1.d_quarter_name = '1999Q1' And d3.d_quarter_name In ('1999Q1', '2002Q2', '1999Q4') And d2.d_quarter_name In ('1999Q1', '2002Q2', '1999Q4') 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 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 cn.country_code ='[nl]' AND cn.id = mc.company_id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND k.keyword ='character-name-IN-title' AND mc.movie_id = mk.movie_id | job |
SELECT i_brand_id AS brand_id, SUM(ss_ext_sales_price) AS ext_price, i_brand AS brand FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk WHERE i_manager_id = 13 AND d_year = 2001 AND d_moy = 12 GROUP BY i_brand, i_brand_id ORDER BY ext_price DESC, brand_id LIMIT 1000; | tpcds |
SELECT c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_comment FROM customer, orders, lineitem, nation WHERE l_orderkey = o_orderkey AND c_nationkey = n_nationkey AND c_custkey = o_custkey AND l_returnflag = 'R' AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND o_orderdate >= DATE 1 GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | 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 o_custkey = c_custkey AND n1.n_regionkey = r_regionkey AND p_partkey = l_partkey AND s_nationkey = n2.n_nationkey AND c_nationkey = n1.n_nationkey AND p_type = 1 ) AS all_nations AND r_name = 1 AND s_suppkey = l_suppkey AND l_orderkey = o_orderkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' GROUP BY o_year ORDER BY o_year | tpch |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE s_suppkey = l_suppkey AND c_custkey = o_custkey AND o_orderkey = l_orderkey 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) ) GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS 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 it1.id = mi_idx.info_type_id AND mi.movie_id = mi_idx.movie_id AND cn.id = mc.company_id AND mi_idx.info < '3.5' AND at.movie_id = mi.movie_id AND mi_idx.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND at.movie_id = mc.movie_id AND it1.info = 'rating' AND kt.kind = 'movie' AND at.title LIKE '%Champion%' AND t.id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND t.id = mi.movie_id AND t.production_year > 2000 AND cn.country_code = '[us]' AND kt.id = t.kind_id AND it2.info = 'release dates' AND t.id = at.movie_id AND mi.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND t.id = mc.movie_id | job |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) 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_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.56 AND (d_dom >= 1 AND d_dom <= 3 OR d_dom >= 25 AND d_dom <= 28) AND d_year IN (2000, 2000, 2003) AND s_county IN ('Williamson County', 'Washington County', 'Placer 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 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 d_year In (2001, 2002, 2003) And (d_dom Between 1 And 3 Or d_dom Between 25 And 28) 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 (hd_buy_potential = '>10000' Or hd_buy_potential = 'Unknown') And s_county In ('Bronz County', 'Barrow County', 'Jackson County') Group By ss_ticket_number, ss_customer_sk ) As dn Join customer On ss_customer_sk = c_customer_sk Where cnt Between 15 And 20 Order By c_last_name, c_first_name, c_salutation, cnt Desc Limit 100; | tpcds |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE c_nationkey = n1.n_nationkey AND l_orderkey = o_orderkey AND r_name = 1 AND p_type = 1 ) AS all_nations AND n1.n_regionkey = r_regionkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_partkey = l_partkey AND o_custkey = c_custkey AND s_nationkey = n2.n_nationkey AND s_suppkey = l_suppkey GROUP BY o_year ORDER BY o_year | tpch |
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_moy between 2 and 2 + 3 and d1.d_moy = 2 and d2.d_moy between 2 and 2 + 3 and d2.d_year = 2001 and d3.d_year = 2001 and d1.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 c_address, c_comment, c_custkey, n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_name, c_phone, c_acctbal FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT 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 s_nationkey = n_nationkey AND r_name = 1 AND s_suppkey = ps_suppkey AND p_size = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND n_regionkey = r_regionkey AND p_type LIKE 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND k.keyword ='character-name-IN-title' AND cn.country_code ='[de]' AND mk.keyword_id = k.id AND cn.id = mc.company_id LIMIT 1000; | 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 t.id = mk.movie_id AND t.production_year > 2010 AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.keyword LIKE '%sequel%' AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id LIMIT 200; | 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 ct.id = mc.company_type_id AND ct.kind = 'production companies' AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
WITH _q AS ( 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 p_partkey = l_partkey AND p_type = 1 ) AS all_nations AND n1.n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND s_nationkey = n2.n_nationkey AND c_nationkey = n1.n_nationkey AND o_custkey = c_custkey AND r_name = 1 AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_suppkey = l_suppkey GROUP BY o_year ORDER BY o_year ) SELECT * FROM _q; | tpch |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE p.Id = ph.PostId AND p.ViewCount >= 0 AND p.Score <= 192 AND p.Id = v.PostId AND p.Id = c.PostId AND u.Id = p.OwnerUserId AND u.Id = b.UserId LIMIT 50; | stats |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE t.id = mi.movie_id AND kt.kind = 'movie' AND it2.info = 'release dates' AND it2.id = mi.info_type_id AND t.id = at.movie_id AND t.production_year > 2000 AND at.movie_id = mi.movie_id AND it1.id = mi_idx.info_type_id AND mi.info LIKE 'USA:%200%' AND mi_idx.info < '3.5' AND t.id = mc.movie_id AND mi_idx.movie_id = mc.movie_id AND kt.id = t.kind_id AND mi.movie_id = mc.movie_id AND t.id = mi_idx.movie_id AND it1.info = 'rating' AND at.title LIKE '%Champion%' AND cn.id = mc.company_id AND at.movie_id = mc.movie_id AND cn.country_code = '[us]' AND mi.movie_id = mi_idx.movie_id AND at.movie_id = mi_idx.movie_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, votes AS v, users AS u WHERE p.ViewCount >= 0 AND u.Id = c.UserId AND u.Id = p.OwnerUserId AND p.Score >= 0 AND u.Id = v.UserId AND c.Score = 0 | 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 ct.id = mc.company_type_id AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'bottom 10 rank' AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi.info_type_id | job |
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 chn.id = ci.person_role_id AND cn.id = mc.company_id AND t.id = mc.movie_id AND ci.note LIKE '%(uncredited)%' AND cn.country_code = '[ru]' AND rt.role = 'actor' AND ct.id = mc.company_type_id AND ci.movie_id = mc.movie_id AND t.production_year > 2005 AND ci.note LIKE '%(voice)%' AND rt.id = ci.role_id AND t.id = ci.movie_id LIMIT 50; | 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 t.id = mk.movie_id AND k.keyword ='character-name-in-title' AND mk.keyword_id = k.id AND cn.country_code ='[de]' AND mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND cn.id = mc.company_id LIMIT 20; | 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 ( (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 AND s_suppkey = l_suppkey AND s_nationkey = n1.n_nationkey AND o_orderkey = l_orderkey AND c_custkey = o_custkey AND c_nationkey = n2.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE t.episode_nr < 100 AND t.episode_nr >= 50 AND t.id = mk.movie_id AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND n.id = ci.person_id AND an.person_id = ci.person_id AND mc.movie_id = mk.movie_id AND ci.movie_id = t.id AND an.person_id = n.id AND ci.movie_id = mk.movie_id AND mk.keyword_id = k.id AND cn.country_code = '[us]' AND k.keyword = 'character-name-in-title' AND mc.company_id = cn.id | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = t.id AND t.id = mk.movie_id AND cn.id = mc.company_id AND cn.country_code ='[nl]' AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND k.keyword ='character-name-in-title' LIMIT 500; | job |
SELECT SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share, o_year 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 p_partkey = l_partkey AND c_nationkey = n1.n_nationkey AND n1.n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND s_suppkey = l_suppkey AND s_nationkey = n2.n_nationkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND r_name = 1 AND o_custkey = c_custkey AND p_type = 1 ) AS all_nations GROUP BY o_year ORDER BY o_year | tpch |
SELECT o_shippriority, l_orderkey, o_orderdate, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem WHERE c_custkey = o_custkey AND l_shipdate > DATE 1 AND c_mktsegment = 1 AND o_orderdate < DATE 1 AND l_orderkey = o_orderkey GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | tpch |
SELECT MIN(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 ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND t.episode_nr >= 50 AND t.episode_nr < 100 AND k.keyword = 'character-name-IN-title' AND t.id = mc.movie_id AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND mk.keyword_id = k.id AND mc.company_id = cn.id AND an.person_id = n.id AND mc.movie_id = mk.movie_id AND an.person_id = ci.person_id AND ci.movie_id = t.id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postHistory AS ph, votes AS v, users AS u WHERE p.AnswerCount >= 0 AND u.Id = c.UserId AND c.UserId = p.OwnerUserId AND p.Score <= 13 AND p.OwnerUserId = ph.UserId AND ph.UserId = v.UserId | stats |
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 l1.l_receiptdate > l1.l_commitdate AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND s_nationkey = n_nationkey AND n_name = 1 AND s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' AND o_orderkey = l1.l_orderkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
select sum(sr_return_quantity) as store_returns_quantity, sum(ss_quantity) as store_sales_quantity, sum(cs_quantity) as catalog_sales_quantity, i_item_desc, i_item_id, s_store_name, s_store_id from store_sales join store_returns on ss_customer_sk = sr_customer_sk and ss_item_sk = sr_item_sk and ss_ticket_number = sr_ticket_number join catalog_sales on sr_customer_sk = cs_bill_customer_sk and sr_item_sk = cs_item_sk join date_dim as d1 on ss_sold_date_sk = d1.d_date_sk join date_dim as d2 on sr_returned_date_sk = d2.d_date_sk join date_dim as d3 on cs_sold_date_sk = d3.d_date_sk join store on ss_store_sk = s_store_sk join item on ss_item_sk = i_item_sk where d1.d_moy = 3 and d1.d_year = 2001 and d2.d_moy between 3 and 3 + 3 and d2.d_year = 2001 and d3.d_moy between 3 and 3 + 3 and d3.d_year = 2001 group by i_item_id, i_item_desc, s_store_id, s_store_name order by i_item_id, i_item_desc, s_store_id, s_store_name limit 100; | tpcds |
SELECT MIN(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 an1.person_id = ci.person_id AND n1.name NOT LIKE '%Yu%' AND ci.movie_id = mc.movie_id AND ci.movie_id = t.id AND n1.name LIKE '%Yo%' AND rt.role = 'actress' AND cn.country_code = '[jp]' AND mc.note LIKE '%(Japan)%' AND n1.id = ci.person_id AND ci.note = '(voice: English version)' AND mc.company_id = cn.id AND ci.role_id = rt.id AND an1.person_id = n1.id AND mc.note NOT LIKE '%(USA)%' AND t.id = mc.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 cn.id = mc.company_id AND miidx.movie_id = t.id AND it2.id = mi.info_type_id AND it2.info = 'release dates' AND miidx.movie_id = mc.movie_id AND it.info = 'rating' AND ct.id = mc.company_type_id AND it.id = miidx.info_type_id AND mi.movie_id = t.id AND kt.kind = 'movie' AND mi.movie_id = miidx.movie_id AND cn.country_code = '[de]' AND mc.movie_id = t.id AND kt.id = t.kind_id AND ct.kind = 'production companies' AND mi.movie_id = mc.movie_id | job |
Select dt.d_year, Sum(ss_ext_sales_price) As ext_price, item.i_brand_id As brand_id, item.i_brand As brand From date_dim As dt Join store_sales On dt.d_date_sk = store_sales.ss_sold_date_sk Join item On store_sales.ss_item_sk = item.i_item_sk Where dt.d_moy = 11 And item.i_manager_id = 67 And dt.d_year = 1999 Group By dt.d_year, item.i_brand, item.i_brand_id Order By dt.d_year, ext_price Asc, brand_id Limit 100; | tpcds |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE l_orderkey = o_orderkey AND r_name = 1 AND n_regionkey = r_regionkey AND c_nationkey = s_nationkey AND c_custkey = o_custkey AND l_suppkey = s_suppkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND s_nationkey = n_nationkey AND o_orderdate >= DATE 1 GROUP BY n_name ORDER BY revenue ASC | tpch |
Select c_name, o_totalprice, c_custkey, o_orderkey, o_orderdate, 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 Desc, o_orderdate Limit 100 | tpch |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE p.Id = v.PostId AND p.Score <= 192 AND p.ViewCount >= 0 AND u.Id = p.OwnerUserId AND p.Id = c.PostId AND p.Id = ph.PostId AND u.Id = b.UserId | stats |
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 mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.id = mk.keyword_id AND t.production_year > 2000 AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND k.keyword LIKE '%sequel%' LIMIT 500; | job |
SELECT i_item_desc, SUM(cs_quantity) AS catalog_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, s_store_id, SUM(ss_quantity) AS store_sales_quantity, i_item_id, 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 d2.d_year = 2001 AND d3.d_moy BETWEEN 3 AND 3 + 3 AND d2.d_moy BETWEEN 3 AND 3 + 3 AND d3.d_year = 2001 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 min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where k.keyword like '%sequel%' and t.production_year > 2005 and mk.movie_id = mi.movie_id and t.id = mk.movie_id and mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') and t.id = mi.movie_id and k.id = mk.keyword_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, votes AS v WHERE v.VoteTypeId = 2 AND p.Id = c.PostId AND pl.PostId = v.PostId AND c.PostId = pl.PostId AND p.Score >= -3 AND c.CreationDate >= '2010-08-02 23:52:10'::timestamp LIMIT 1000; | stats |
SELECT MIN(t.title) AS marvel_movie, MIN(n.name) AS actor_name, MIN(k.keyword) AS movie_keyword 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.id = ci.person_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND n.name LIKE '%Hemsworth%Chris%' AND t.id = mk.movie_id LIMIT 20; | 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 mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND cn.country_code ='[sm]' AND k.keyword ='character-name-IN-title' AND mk.keyword_id = k.id | job |
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_partkey = ps_partkey AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) 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 |
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