text stringlengths 84 1.49k | benchmark stringclasses 4
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SELECT SUM(l_quantity) AS sum_qty, AVG(l_quantity) AS avg_qty, COUNT(1) AS count_order, AVG(l_discount) AS avg_disc, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_extendedprice) AS sum_base_price, l_linestatus, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_returnflag, AVG(l_extendedprice) AS avg_price FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
select c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt from ( select ss_ticket_number, ss_customer_sk, COUNT(1) as cnt from store_sales join date_dim on ss_sold_date_sk = d_date_sk join store on ss_store_sk = s_store_sk join household_demographics on ss_hdemo_sk = hd_demo_sk where d_dom >= 1 and d_dom <= 2 and (hd_buy_potential = '1001-5000' or hd_buy_potential = '5001-10000') and hd_vehicle_count > 0 and d_year in (2001, 2001, 2001) and s_county in ('Williamson County', 'Bronx County', 'Jackson 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 cc_name AS call_center_name, SUM(cr_net_loss) AS returns_loss, cc_call_center_id AS call_center, cc_manager AS manager FROM call_center INNER JOIN catalog_returns ON cr_call_center_sk = cc_call_center_sk INNER JOIN date_dim ON cr_returned_date_sk = d_date_sk INNER JOIN customer ON cr_returning_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = ca_address_sk INNER JOIN customer_demographics ON cr_returning_cdemo_sk = cd_demo_sk INNER JOIN household_demographics ON cr_returning_hdemo_sk = hd_demo_sk WHERE d_year = 2001 AND ca_gmt_offset = -5 AND ( (cd_marital_status = 'S' AND cd_education_status = '4 yr Degree') OR (hd_buy_potential LIKE '501-1000%' AND ca_gmt_offset = -5) ) AND d_moy = 11 GROUP BY cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status ORDER BY returns_loss DESC LIMIT 100; | tpcds |
SELECT 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_idx.info < '7.0' AND mc.movie_id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND cn.country_code != '[us]' AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(200%)%' AND it2.id = mi_idx.info_type_id AND kt.id = t.kind_id AND t.id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = mi.movie_id AND it1.info = 'countries' AND mi.movie_id = mc.movie_id AND it1.id = mi.info_type_id AND t.production_year > 2008 AND mi.movie_id = mi_idx.movie_id AND kt.kind IN ('movie', 'episode') AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it2.info = 'rating' AND t.id = mi_idx.movie_id AND t.id = mk.movie_id | job |
SELECT s_store_id, i_item_id, SUM(sr_return_quantity) AS store_returns_quantity, SUM(ss_quantity) AS store_sales_quantity, i_item_desc, 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 d2.d_moy >= 5 AND d2.d_moy <= 5 + 3 AND d2.d_year = 2000 AND d3.d_year = 2000 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d1.d_moy = 5 AND d1.d_year = 2000 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT COUNT(1) FROM comments AS c, badges AS b WHERE b.Date <= '2014-09-11 14:33:06'::timestamp AND c.UserId = b.UserId AND c.Score = 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 p_name LIKE 1 ) AS profit AND o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND s_nationkey = n_nationkey AND ps_suppkey = l_suppkey AND ps_partkey = l_partkey AND p_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year 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 cn.id = mc.company_id AND n.id = ci.person_id AND t.id = ci.movie_id AND ci.note LIKE '%(voice: English version)%' AND an.person_id = n.id AND k.id = mk.keyword_id AND mc.note LIKE '%(Japan)%' AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND ct.id = mc.company_type_id AND rt.role = 'actress' AND mk.movie_id = ci.movie_id AND ci.person_id = an.person_id AND cn.country_code = '[jp]' AND n.gender = 'f' AND mk.movie_id = mc.movie_id AND t.production_year > 1990 AND ci.role_id = rt.id AND t.id = mk.movie_id AND k.keyword = 'anime' AND ci.movie_id = mc.movie_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b WHERE p.Id = ph.PostId AND p.Id = c.PostId AND c.Score = 0 AND p.Id = pl.RelatedPostId AND p.Id = v.PostId AND pl.LinkTypeId = 1 AND b.UserId = c.UserId LIMIT 1000; | stats |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE t.id = mi.movie_id AND at.movie_id = mi.movie_id AND it2.info = 'release dates' AND cn.id = mc.company_id AND t.id = mi_idx.movie_id AND mi_idx.info < '3.5' AND mi.info LIKE 'USA:%200%' AND t.production_year > 2000 AND kt.kind = 'movie' AND it1.info = 'rating' AND mi.movie_id = mi_idx.movie_id AND it2.id = mi.info_type_id AND cn.country_code = '[us]' AND t.id = at.movie_id AND at.movie_id = mc.movie_id AND it1.id = mi_idx.info_type_id AND kt.id = t.kind_id AND at.title LIKE '%Champion%' AND mi_idx.movie_id = mc.movie_id AND t.id = mc.movie_id AND mi.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id | job |
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 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 d2.d_quarter_name = ANY(ARRAY['2000Q1', '1999Q3', '2002Q3']) And d3.d_quarter_name = ANY(ARRAY['2000Q1', '1999Q3', '2002Q3']) And d1.d_quarter_name = '2000Q1' 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(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 <= 2010 AND it.id = mi_idx.info_type_id AND mi_idx.info > '7.0' AND t.production_year >= 2000 AND t.id = mi_idx.movie_id | job |
WITH _q AS ( SELECT COUNT(1) FROM comments AS c, badges AS b, users AS u WHERE u.Id = c.UserId AND c.UserId = b.UserId AND c.Score = 0 AND u.UpVotes >= 0 LIMIT 1000 ) SELECT * FROM _q; | 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 n.id = an.person_id And pi.person_id = an.person_id And lt.id = ml.link_type_id And n.id = pi.person_id And ci.person_id = n.id And t.id = ci.movie_id And t.production_year Between 1980 And 1995 And an.name Like '%a%' And pi.note = 'Volker Boehm' And it.info = 'mini biography' And pi.person_id = ci.person_id And n.name_pcode_cf Between 'A' And 'F' And it.id = pi.info_type_id And ci.movie_id = ml.linked_movie_id And ml.linked_movie_id = t.id And lt.link = 'features' And (n.gender = 'm' Or (n.gender = 'f' And n.name Like 'B%')) And an.person_id = ci.person_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.id = mc.company_id AND t.id = ci.movie_id AND chn.id = ci.person_role_id AND t.production_year > 2005 AND ci.movie_id = mc.movie_id AND rt.id = ci.role_id AND ci.note LIKE '%(voice)%' AND cn.country_code = '[ru]' AND ct.id = mc.company_type_id AND rt.role = 'actor' AND ci.note LIKE '%(uncredited)%' AND t.id = mc.movie_id | job |
WITH _q AS ( Select cc_call_center_id As call_center, cc_name As call_center_name, cc_manager As manager, Sum(cr_net_loss) As returns_loss From call_center Join catalog_returns On cr_call_center_sk = cc_call_center_sk Join date_dim On cr_returned_date_sk = d_date_sk Join customer On cr_returning_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join customer_demographics On cr_returning_cdemo_sk = cd_demo_sk Join household_demographics On cr_returning_hdemo_sk = hd_demo_sk Where ca_gmt_offset = -6 And d_moy = 12 And ( (cd_marital_status = 'S' And cd_education_status = '4 yr Degree') Or (hd_buy_potential Like '1001-5000%' And ca_gmt_offset = -6) ) And d_year = 1999 Group By cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status Order By returns_loss Desc Limit 100 ) SELECT * FROM _q; | 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 (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND s_county IN ('Bronz County', 'Barrow County', 'Jackson County') AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.37 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 p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_partkey = ps_partkey AND p_brand <> 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_type NOT LIKE 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT MIN(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 it.id = mi.info_type_id AND ml.movie_id = mi.movie_id AND mc.note LIKE '%(USA)%' AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND ml.movie_id = mc.movie_id AND cn.country_code = '[us]' AND t.id = mc.movie_id AND mi.note LIKE '%internet%' AND lt.link LIKE '%follow%' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mk.movie_id AND it.info = 'release dates' AND t.id = ml.movie_id AND ml.movie_id = mk.movie_id AND mi.info LIKE 'USA:% 199%' AND t.production_year > 1950 AND ct.id = mc.company_type_id AND mi.movie_id = t.id AND cn.id = mc.company_id AND lt.id = ml.link_type_id | job |
select avg(cs_list_price) as agg2, avg(cs_sales_price) as agg4, i_item_id, avg(cs_quantity) as agg1, 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 d_year = 2002 and cd_gender = 'M' and cd_marital_status = 'S' and (p_channel_email = 'N' or p_channel_event = 'N') and cd_education_status = 'Advanced Degree' group by i_item_id order by i_item_id limit 100; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE it.id = mi.info_type_id AND mc.movie_id = mi.movie_id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi.movie_id AND it.info = 'bottom 10 rank' | 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 it.info = 'bottom 10 rank' AND t.id = mi.movie_id AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id AND it.id = mi.info_type_id AND mc.movie_id = mi.movie_id | job |
WITH _q AS ( Select COUNT(1) From comments As c, postHistory As ph, votes As v, users As u Where u.UpVotes <= 123 AND u.Views >= 0 AND v.UserId = ph.UserId AND u.Id = v.UserId AND u.DownVotes >= 0 AND ph.UserId = c.UserId ) SELECT * FROM _q; | stats |
SELECT MIN(cn.name) AS from_company, MIN(t.title) AS western_sequel, 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 cn.country_code = '[us]' AND it.info = 'release dates' AND lt.link LIKE '%follow%' AND mc.note LIKE '%(USA)%' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mi.note LIKE '%internet%' AND mi.info LIKE 'USA:% 199%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND t.production_year > 1950 AND lt.id = ml.link_type_id AND ml.movie_id = mi.movie_id AND t.id = ml.movie_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = t.id AND t.id = mk.movie_id AND t.id = mc.movie_id AND it.id = mi.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id LIMIT 500; | 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 s_nationkey = n_nationkey AND p_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND ps_suppkey = l_suppkey AND ps_partkey = l_partkey AND s_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year ASC | tpch |
SELECT MIN(t.title) AS voiced_movie, MIN(n.name) AS voicing_actress 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 rt.role = 'actress' AND chn.id = ci.person_role_id AND t.id = ci.movie_id AND ci.person_id = an.person_id AND it.id = mi.info_type_id AND t.id = mi.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND mi.movie_id = mc.movie_id AND an.person_id = n.id AND mi.movie_id = ci.movie_id AND t.id = mc.movie_id AND mc.note LIKE '%(USA)%' AND n.id = ci.person_id AND ci.movie_id = mc.movie_id AND t.production_year > 2000 AND cn.id = mc.company_id AND cn.country_code = '[us]' AND it.info = 'release dates' AND n.gender = 'f' AND ci.role_id = rt.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 p_partkey = l_partkey AND o_orderkey = l_orderkey AND p_name LIKE 1 ) AS profit AND s_suppkey = l_suppkey AND s_nationkey = n_nationkey AND ps_partkey = l_partkey AND ps_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year ASC | tpch |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE lt.id = ml.link_type_id AND pi.person_id = an.person_id AND n.id = an.person_id AND ci.movie_id = ml.linked_movie_id AND it.id = pi.info_type_id AND an.name LIKE '%a%' AND ml.linked_movie_id = t.id AND ci.person_id = n.id AND t.id = ci.movie_id AND it.info = 'mini biography' AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND t.production_year BETWEEN 1980 AND 1995 AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.note = 'Volker Boehm' AND n.id = pi.person_id | job |
SELECT SUM(sr_return_quantity) AS store_returns_quantity, i_item_desc, SUM(ss_quantity) AS store_sales_quantity, s_store_name, SUM(cs_quantity) AS catalog_sales_quantity, s_store_id, i_item_id 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 ss_sold_date_sk = d1.d_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_moy = 5 AND d1.d_year = 2000 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d2.d_year = 2000 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d3.d_year = 2000 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT 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 mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND cn.country_code ='[nl]' AND mc.movie_id = t.id AND k.keyword ='character-name-IN-title' | job |
SELECT MIN(t.production_year) AS movie_year, MIN(mc.note) AS production_note, 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 t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id | job |
Select p_brand, p_type, p_size, Count(Distinct ps_suppkey) As supplier_cnt From partsupp, part Where p_brand <> 1 AND ps_suppkey Not In ( Select s_suppkey From supplier Where s_comment Like '%Customer%Complaints%' ) AND p_size In (1, 1, 1, 1, 1, 1, 1, 1) AND p_partkey = ps_partkey AND p_type Not Like 1 Group By p_brand, p_type, p_size Order By supplier_cnt Desc, p_brand, p_type, p_size | tpch |
SELECT extended_price, ss_ticket_number, list_price, ca_city, extended_tax, c_last_name, c_first_name, bought_city FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (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 n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE r_name = 1 AND l_suppkey = s_suppkey AND l_orderkey = o_orderkey AND c_nationkey = s_nationkey AND s_nationkey = n_nationkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND o_orderdate >= DATE 1 AND n_regionkey = r_regionkey AND c_custkey = o_custkey GROUP BY n_name ORDER BY revenue DESC | tpch |
select n_name, sum(l_extendedprice * (1 - l_discount)) as revenue from customer, orders, lineitem, supplier, nation, region where o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND s_nationkey = n_nationkey AND c_custkey = o_custkey AND l_suppkey = s_suppkey AND r_name = 1 AND l_orderkey = o_orderkey AND c_nationkey = s_nationkey AND n_regionkey = r_regionkey group by n_name order by revenue desc | tpch |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE an1.person_id = n1.id AND ci.note = '(voice: English version)' AND t.id = mc.movie_id AND ci.role_id = rt.id AND mc.note LIKE '%(Japan)%' AND an1.person_id = ci.person_id AND rt.role = 'actress' AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = t.id AND mc.note NOT LIKE '%(USA)%' AND n1.name LIKE '%Yo%' AND n1.name NOT LIKE '%Yu%' AND n1.id = ci.person_id AND cn.country_code = '[jp]' | job |
Select o_orderkey, c_name, Sum(l_quantity), c_custkey, o_orderdate, o_totalprice From customer, orders, lineitem Where o_orderkey In ( Select l_orderkey From lineitem Group By l_orderkey Having Sum(l_quantity) > 1 ) And c_custkey = o_custkey And o_orderkey = l_orderkey Group By c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice Order By o_totalprice Asc, o_orderdate Limit 100 | tpch |
Select 100.00 * Sum( Case When p_type Like 'PROMO%' Then l_extendedprice * (1 - l_discount) Else 0 End ) / Sum(l_extendedprice * (1 - l_discount)) As promo_revenue From lineitem, part Where l_partkey = p_partkey AND l_shipdate >= DATE 1 AND l_shipdate < DATE 1 + INTERVAL '1' MONTH LIMIT 50; | tpch |
SELECT i_item_id, AVG(cs_quantity) AS agg1, AVG(cs_list_price) AS agg2, AVG(cs_coupon_amt) AS agg3, AVG(cs_sales_price) AS agg4 FROM catalog_sales JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk JOIN item ON cs_item_sk = i_item_sk JOIN promotion ON cs_promo_sk = p_promo_sk WHERE cd_education_status = 'Advanced Degree' AND cd_gender = 'F' AND cd_marital_status = 'S' 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 COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.Id = pl.PostId AND p.AnswerCount >= 0 AND p.Id = c.PostId AND p.PostTypeId = 1 AND p.Id = v.PostId AND u.Id = p.OwnerUserId AND p.Id = ph.PostId | stats |
SELECT MAX(t.title) AS japanese_anime_movie, MAX(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 an.person_id = n.id AND mc.note LIKE '%(Japan)%' AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = ci.movie_id AND t.id = ci.movie_id AND t.id = mc.movie_id AND n.id = ci.person_id AND ci.note LIKE '%(voice: English version)%' AND mk.movie_id = mc.movie_id AND ci.person_id = an.person_id AND t.id = mk.movie_id AND rt.role = 'actress' AND n.gender = 'f' AND ci.role_id = rt.id AND ct.id = mc.company_type_id AND ci.movie_id = mc.movie_id AND k.id = mk.keyword_id AND cn.country_code = '[jp]' AND t.production_year > 1990 AND k.keyword = 'anime' AND cn.id = mc.company_id | job |
WITH _q AS ( SELECT s_name, s_address FROM supplier, nation WHERE s_nationkey = n_nationkey AND s_suppkey IN ( SELECT ps_suppkey FROM partsupp WHERE ps_partkey IN ( SELECT p_partkey FROM part WHERE p_name LIKE 1 ) AND ps_availqty > ( SELECT 0.5 * SUM(l_quantity) FROM lineitem WHERE l_partkey = ps_partkey AND l_suppkey = ps_suppkey AND l_shipdate >= DATE 1 AND l_shipdate < DATE 1 + INTERVAL '1' YEAR ) ) AND n_name = 1 ORDER BY s_name ) SELECT * FROM _q LIMIT 50; | tpch |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v where p.Id = c.PostId AND p.Id = pl.PostId AND pl.LinkTypeId = 1 AND p.Id = v.PostId AND p.Id = ph.PostId AND p.FavoriteCount >= 0 AND c.Score = 0 | stats |
SELECT ss_ticket_number, extended_tax, c_first_name, c_last_name, ca_city, bought_city, list_price, extended_price FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 4 OR hd_vehicle_count = 4) AND d_dow IN (6, 0) AND d_year IN (2001, 2000, 2001) AND s_city IN ('Clinton', 'Glendale') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT o_orderkey, c_name, o_totalprice, c_custkey, 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 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.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE i_category = 'Jewelry' AND s_gmt_offset = -6 AND d_moy = 12 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -6 AND d_moy = 12 ) AS all_sales AND d_year = 2002 AND ca_gmt_offset = -6 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -6 AND d_year = 2002 AND i_category = 'Jewelry' ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT i_item_id, i_item_desc, i_current_price FROM item JOIN inventory ON i_item_sk = inv_item_sk JOIN date_dim ON d_date_sk = inv_date_sk JOIN store_sales ON ss_item_sk = i_item_sk WHERE i_current_price >= 73 AND d_date BETWEEN CAST('1998-01-15' AS DATE) AND (CAST('1998-01-15' AS DATE) + INTERVAL '60 days') AND i_current_price <= 73 + 30 AND inv_quantity_on_hand BETWEEN 100 AND 500 AND i_manufact_id IN (494, 188, 70, 301) GROUP BY i_item_id, i_item_desc, i_current_price ORDER BY i_item_id LIMIT 100; | tpcds |
Select cc_name As call_center_name, Sum(cr_net_loss) As returns_loss, cc_call_center_id As call_center, cc_manager As manager From call_center Join catalog_returns On cr_call_center_sk = cc_call_center_sk Join date_dim On cr_returned_date_sk = d_date_sk Join customer On cr_returning_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join customer_demographics On cr_returning_cdemo_sk = cd_demo_sk Join household_demographics On cr_returning_hdemo_sk = hd_demo_sk Where d_year = 2001 And d_moy = 12 And ( (cd_marital_status = 'S' And cd_education_status = '2 yr Degree') Or (hd_buy_potential Like '1001-5000%' And ca_gmt_offset = -5) ) And ca_gmt_offset = -5 Group By cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status Order By returns_loss Asc Limit 100; | tpcds |
SELECT s_name, s_phone, p_partkey, s_comment, s_address, n_name, p_mfgr, s_acctbal 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 biography_movie, MIN(n.name) AS of_person FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE pi.person_id = ci.person_id AND it.info = 'mini biography' AND pi.person_id = an.person_id AND ml.linked_movie_id = t.id AND an.person_id = ci.person_id AND an.name LIKE '%a%' AND lt.id = ml.link_type_id AND n.id = pi.person_id AND ci.person_id = n.id AND n.id = an.person_id AND pi.note = 'Volker Boehm' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND ci.movie_id = ml.linked_movie_id AND t.production_year BETWEEN 1980 AND 1995 AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND it.id = pi.info_type_id AND t.id = ci.movie_id | job |
SELECT STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, s_state, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, i_item_desc, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, AVG(ss_quantity) AS store_sales_quantityave, COUNT(sr_return_quantity) AS store_returns_quantitycount, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(cs_quantity) AS catalog_sales_quantityave, i_item_id, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov 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 d3.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') AND d2.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 i_item_id, i_item_desc, s_store_id, s_store_name, Max(ss_net_profit) As store_sales_profit, Max(sr_net_loss) As store_returns_loss, Max(cs_net_profit) As catalog_sales_profit From store_sales Join store_returns On store_sales.ss_customer_sk = store_returns.sr_customer_sk And store_sales.ss_item_sk = store_returns.sr_item_sk And store_sales.ss_ticket_number = store_returns.sr_ticket_number Join catalog_sales On store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk And store_returns.sr_item_sk = catalog_sales.cs_item_sk Join date_dim As d1 On store_sales.ss_sold_date_sk = d1.d_date_sk Join date_dim As d2 On store_returns.sr_returned_date_sk = d2.d_date_sk Join date_dim As d3 On catalog_sales.cs_sold_date_sk = d3.d_date_sk Join store On store_sales.ss_store_sk = store.s_store_sk Join item On store_sales.ss_item_sk = item.i_item_sk Where d3.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2002 AND d1.d_year = 2002 AND d3.d_year = 2002 AND d2.d_moy BETWEEN 2 AND 8 + 3 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 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 = '1001-5000' OR hd_buy_potential = '5001-10000') AND d_year IN (2001, 2001, 2001) AND s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') AND d_dom >= 1 AND d_dom <= 2 AND hd_vehicle_count > 0 GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt >= 1 AND cnt <= 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
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 miidx.movie_id = t.id AND mc.movie_id = t.id AND kt.kind = 'movie' AND mi.movie_id = mc.movie_id AND it.info = 'rating' AND it2.id = mi.info_type_id AND it.id = miidx.info_type_id AND cn.id = mc.company_id AND it2.info = 'release dates' AND kt.id = t.kind_id AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND mi.movie_id = t.id AND miidx.movie_id = mc.movie_id AND mi.movie_id = miidx.movie_id AND cn.country_code = '[de]' | job |
SELECT i_brand AS brand, i_manufact_id, i_manufact, SUM(ss_ext_sales_price) AS ext_price, i_brand_id AS brand_id FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE d_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 i_manufact, i_brand_id AS brand_id, SUM(ss_ext_sales_price) AS ext_price, i_manufact_id, i_brand AS brand FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE d_moy = 11 AND d_year = 1999 AND i_manager_id = 73 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 p_brand, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_type, p_size FROM partsupp, part WHERE p_brand <> 1 AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_type NOT LIKE 1 AND p_partkey = ps_partkey GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT 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 = c.PostId AND p.Id = ph.PostId AND b.UserId = u.Id AND c.UserId = u.Id AND pl.LinkTypeId = 1 AND p.Id = v.PostId AND p.Score <= 40 AND p.Id = pl.RelatedPostId LIMIT 500; | stats |
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 ( (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 s_market_id = 8 AND ca_country = 'United States' AND d_year = 2001 AND ca_state IN ('TX', 'GA', 'FL') AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price BETWEEN 90 AND 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) ) | tpcds |
Select i_item_id, i_item_desc, s_store_id, s_store_name, Sum(ss_quantity) As store_sales_quantity, Sum(sr_return_quantity) As store_returns_quantity, Sum(cs_quantity) As catalog_sales_quantity From store_sales Join store_returns On ss_customer_sk = sr_customer_sk And ss_item_sk = sr_item_sk And ss_ticket_number = sr_ticket_number Join catalog_sales On sr_customer_sk = cs_bill_customer_sk And sr_item_sk = cs_item_sk Join date_dim As d1 On ss_sold_date_sk = d1.d_date_sk Join date_dim As d2 On sr_returned_date_sk = d2.d_date_sk Join date_dim As d3 On cs_sold_date_sk = d3.d_date_sk Join store On ss_store_sk = s_store_sk Join item On ss_item_sk = i_item_sk Where d2.d_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 d3.d_year = 2000 And d1.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 n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE o_orderdate >= DATE 1 AND r_name = 1 AND c_custkey = o_custkey AND s_nationkey = n_nationkey AND c_nationkey = s_nationkey AND l_suppkey = s_suppkey AND n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR GROUP BY n_name ORDER BY revenue DESC | tpch |
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 n.id = ci.person_id AND an.person_id = ci.person_id AND t.id = mc.movie_id AND mc.company_id = cn.id AND mc.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = t.id AND an.person_id = n.id AND cn.country_code = '[us]' AND ci.movie_id = mc.movie_id AND k.keyword = 'character-name-IN-title' AND t.id = mk.movie_id AND t.episode_nr >= 50 AND t.episode_nr < 100 | job |
select min(t.title) as movie_title, min(mi_idx.info) as rating from info_type as it, movie_info_idx as mi_idx, title as t where mi_idx.info > '8.0' and t.production_year between 2000 and 2005 and it.id = mi_idx.info_type_id and t.id = mi_idx.movie_id and it.info ='rating' | 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 mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND k.keyword ='character-name-in-title' AND cn.id = mc.company_id AND cn.country_code ='[nl]' AND mc.movie_id = t.id AND t.id = mk.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 it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'top 250 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 ci.movie_id = mk.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 AND t.production_year > 2010 AND t.id = mk.movie_id AND t.id = ci.movie_id | job |
select min(an.name) as cool_actor_pseudonym, min(t.title) as series_named_after_char from aka_name as an, cast_info as ci, company_name as cn, keyword as k, movie_companies as mc, movie_keyword as mk, name as n, title as t where k.keyword = 'character-name-in-title' and t.id = mk.movie_id and an.person_id = n.id and ci.movie_id = mk.movie_id and t.id = mc.movie_id and mc.company_id = cn.id and n.id = ci.person_id and ci.movie_id = mc.movie_id and t.episode_nr < 100 and an.person_id = ci.person_id and mk.keyword_id = k.id and ci.movie_id = t.id and t.episode_nr >= 50 and mc.movie_id = mk.movie_id and cn.country_code = '[us]' limit 20; | 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.name LIKE '%a%' AND pi.person_id = ci.person_id AND it.id = pi.info_type_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND lt.link = 'features' AND it.info = 'mini biography' AND pi.note = 'Volker Boehm' AND ml.linked_movie_id = t.id AND an.person_id = ci.person_id AND lt.id = ml.link_type_id AND ci.person_id = n.id AND t.production_year BETWEEN 1980 AND 1995 AND n.id = pi.person_id AND pi.person_id = an.person_id AND t.id = ci.movie_id AND ci.movie_id = ml.linked_movie_id AND n.id = an.person_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 t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' | 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 l_returnflag = 'R' AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND o_orderdate >= DATE 1 AND c_nationkey = n_nationkey AND l_orderkey = o_orderkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS 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_idx.movie_id AND kt.id = t.kind_id AND t.id = mc.movie_id AND t.id = mi.movie_id AND at.movie_id = mi.movie_id AND cn.id = mc.company_id AND t.id = at.movie_id AND mi.movie_id = mi_idx.movie_id AND kt.kind = 'movie' AND it2.info = 'release dates' AND cn.country_code = '[us]' AND t.production_year > 2000 AND mi.info LIKE 'USA:%200%' AND it1.info = 'rating' AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mc.movie_id AND mi_idx.info < '3.5' AND at.title LIKE '%Champion%' AND it2.id = mi.info_type_id AND at.movie_id = mi_idx.movie_id AND at.movie_id = mc.movie_id AND it1.id = mi_idx.info_type_id LIMIT 100; | 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 n.id = ci.person_id AND t.id = mk.movie_id AND ci.movie_id = mc.movie_id AND an.person_id = ci.person_id AND mk.keyword_id = k.id AND cn.country_code = '[us]' AND an.person_id = n.id AND ci.movie_id = t.id AND k.keyword = 'character-name-in-title' AND t.id = mc.movie_id AND mc.company_id = cn.id AND t.episode_nr < 100 AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id AND t.episode_nr >= 50 | job |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE s_nationkey = n_nationkey AND o_orderkey = l_orderkey AND ps_partkey = l_partkey AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND ps_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT c_last_name, extended_tax, list_price, extended_price, ss_ticket_number, bought_city, ca_city, 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 = 0) AND d_dow IN (6, 0) AND d_year IN (2000, 2002, 2001) AND s_city IN ('Clinton', 'Oak Grove') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number; | tpcds |
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 = mk.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.note LIKE '%(USA)%' AND t.id = ml.movie_id AND ct.id = mc.company_type_id AND mi.movie_id = t.id AND mi.note LIKE '%internet%' AND ml.movie_id = mc.movie_id AND mi.info LIKE 'USA:% 199%' AND it.id = mi.info_type_id AND cn.id = mc.company_id AND it.info = 'release dates' AND t.id = mk.movie_id AND lt.id = ml.link_type_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND lt.link LIKE '%follow%' AND t.id = mc.movie_id AND k.id = mk.keyword_id AND t.production_year > 1950 AND cn.country_code = '[us]' | job |
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.name Like '%Hemsworth%Chris%' And k.id = mk.keyword_id And t.production_year > 2010 And ci.movie_id = mk.movie_id And n.id = ci.person_id And t.id = mk.movie_id And t.id = ci.movie_id And k.keyword = 'marvel-cinematic-universe' | job |
SELECT i_item_id, i_item_desc, i_current_price FROM item JOIN inventory ON i_item_sk = inv_item_sk JOIN date_dim ON d_date_sk = inv_date_sk JOIN store_sales ON ss_item_sk = i_item_sk WHERE inv_quantity_on_hand >= 100 AND i_current_price BETWEEN 73 AND 73 + 30 AND inv_quantity_on_hand <= 500 AND d_date BETWEEN CAST('1998-01-15' AS DATE) AND (CAST('1998-01-15' AS DATE) + INTERVAL '60 days') AND i_manufact_id IN (116, 70, 371, 438) GROUP BY i_item_id, i_item_desc, i_current_price 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_year = 1998 AND d_year = 1998 AND s_gmt_offset = -7 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND ca_gmt_offset = -7 AND i_category = 'Music' AND d_moy = 8 ) AS all_sales 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 s_gmt_offset = -7 ORDER BY promotions, total 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 kt.kind = 'movie' AND t.id = mi_idx.movie_id AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND at.movie_id = mi.movie_id AND t.id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND at.movie_id = mc.movie_id AND t.id = at.movie_id AND kt.id = t.kind_id AND mi_idx.movie_id = mc.movie_id AND t.id = mi.movie_id AND t.production_year > 2000 AND it1.info = 'rating' AND mi.info LIKE 'USA:%200%' AND at.title LIKE '%Champion%' AND mi.movie_id = mi_idx.movie_id AND cn.country_code = '[us]' AND it2.id = mi.info_type_id AND it1.id = mi_idx.info_type_id AND mi_idx.info < '3.5' AND it2.info = 'release dates' | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE t.id = mi.movie_id AND at.movie_id = mc.movie_id AND cn.id = mc.company_id AND it2.info = 'release dates' AND at.movie_id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND it1.info = 'rating' AND t.id = mi_idx.movie_id AND it2.id = mi.info_type_id AND at.movie_id = mi.movie_id AND mi.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND t.production_year > 2000 AND kt.kind = 'movie' AND mi.movie_id = mc.movie_id AND mi_idx.info < '3.5' AND t.id = at.movie_id AND kt.id = t.kind_id AND it1.id = mi_idx.info_type_id AND mi_idx.movie_id = mc.movie_id AND cn.country_code = '[us]' AND at.title LIKE '%Champion%' | job |
SELECT i_manufact, SUM(ss_ext_sales_price) AS ext_price, i_brand_id AS brand_id, i_brand AS brand, i_manufact_id FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND i_manager_id = 77 AND d_year = 2002 AND d_moy = 11 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 c_salutation, ss_ticket_number, c_preferred_cust_flag, c_last_name, 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 (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND d_dom BETWEEN 1 AND 2 AND s_county IN ('Williamson County', 'Daviess County', 'Oglethorpe County', 'Maricopa County') AND d_year IN (1999, 2001, 2002) AND hd_vehicle_count > 0 GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
select min(an.name) as acress_pseudonym, min(t.title) as japanese_anime_movie from aka_name as an, cast_info as ci, company_name as cn, company_type as ct, keyword as k, movie_companies as mc, movie_keyword as mk, name as n, role_type as rt, title as t where n.id = ci.person_id and mk.movie_id = mc.movie_id and mk.movie_id = ci.movie_id and ci.role_id = rt.id and rt.role = 'actress' and mc.note not like '%(USA)%' and t.id = mc.movie_id and ci.note like '%(voice: English version)%' and n.gender = 'f' and mc.note like '%(Japan)%' and ci.movie_id = mc.movie_id and t.production_year > 1990 and cn.country_code = '[jp]' and cn.id = mc.company_id and ci.person_id = an.person_id and t.id = mk.movie_id and k.keyword = 'anime' and ct.id = mc.company_type_id and an.person_id = n.id and t.id = ci.movie_id and k.id = mk.keyword_id limit 200; | job |
Select Min(an1.name) As actress_pseudonym, Min(t.title) As japanese_movie_dubbed From aka_name As an1, cast_info As ci, company_name As cn, movie_companies As mc, name As n1, role_type As rt, title As t Where ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note Like '%(Japan)%' AND an1.person_id = n1.id AND mc.company_id = cn.id AND n1.name Like '%Yo%' AND ci.movie_id = t.id AND n1.name Not Like '%Yu%' AND mc.note Not Like '%(USA)%' AND an1.person_id = ci.person_id AND ci.role_id = rt.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND n1.id = ci.person_id AND rt.role = 'actress' Limit 50; | 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 kt.id = t.kind_id AND it.id = miidx.info_type_id AND miidx.movie_id = mc.movie_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND it.info = 'rating' AND it2.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND kt.kind = 'movie' AND cn.country_code = '[de]' AND mc.movie_id = t.id AND it2.info = 'release dates' AND mi.movie_id = t.id AND ct.kind = 'production companies' AND miidx.movie_id = t.id AND mi.movie_id = miidx.movie_id | 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 it.info = 'release dates' AND t.production_year > 2000 AND cn.id = mc.company_id AND t.id = mc.movie_id AND rt.role = 'actress' AND ci.person_id = an.person_id AND n.id = ci.person_id AND cn.country_code = '[us]' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND mc.note LIKE '%(USA)%' AND n.gender = 'f' AND mi.movie_id = mc.movie_id AND mi.movie_id = ci.movie_id AND t.id = ci.movie_id AND an.person_id = n.id AND ci.role_id = rt.id AND ci.movie_id = mc.movie_id AND t.id = mi.movie_id AND it.id = mi.info_type_id AND chn.id = ci.person_role_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 ct.kind = 'production companies' AND mi.movie_id = mc.movie_id AND kt.kind = 'movie' AND it2.info = 'release dates' AND cn.country_code = '[de]' AND mi.movie_id = t.id AND cn.id = mc.company_id AND miidx.movie_id = mc.movie_id AND it.id = miidx.info_type_id AND mc.movie_id = t.id AND kt.id = t.kind_id AND it.info = 'rating' AND it2.id = mi.info_type_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND mi.movie_id = miidx.movie_id | job |
SELECT i_manufact, SUM(ss_ext_sales_price) AS ext_price, i_brand_id AS brand_id, i_manufact_id, i_brand AS brand FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND d_year = 1999 AND d_moy = 12 AND i_manager_id = 47 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 s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE n_regionkey = r_regionkey AND p_type LIKE 1 AND s_suppkey = ps_suppkey AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_partkey = ps_partkey AND r_name = 1 AND s_nationkey = n_nationkey AND p_size = 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
Select o_orderpriority, Count(*) As order_count From orders Where o_orderdate >= DATE 1 And o_orderdate < DATE 1 + INTERVAL '3' MONTH And Exists ( Select * From lineitem Where l_orderkey = o_orderkey And l_commitdate < l_receiptdate ) Group By o_orderpriority Order By o_orderpriority LIMIT 500; | tpch |
Select l_shipmode, Sum( Case When o_orderpriority = '1-URGENT' Or o_orderpriority = '2-HIGH' Then 1 Else 0 End ) As high_line_count, Sum( Case When o_orderpriority <> '1-URGENT' And o_orderpriority <> '2-HIGH' Then 1 Else 0 End ) As low_line_count From orders, lineitem Where o_orderkey = l_orderkey And l_receiptdate >= DATE 1 And l_receiptdate < DATE 1 + INTERVAL '1' YEAR And l_shipdate < l_commitdate And l_shipmode In (1, 1) And l_commitdate < l_receiptdate Group By l_shipmode Order By l_shipmode | 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 k.id = mk.keyword_id AND ml.movie_id = mi.movie_id AND it.id = mi.info_type_id AND lt.link LIKE '%follow%' AND t.id = mk.movie_id AND cn.country_code = '[us]' AND t.production_year > 1950 AND it.info = 'release dates' AND t.id = mc.movie_id AND mc.note LIKE '%(USA)%' AND t.id = ml.movie_id AND mi.info LIKE 'USA:% 199%' AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND ml.movie_id = mk.movie_id AND mi.note LIKE '%internet%' AND mk.movie_id = mc.movie_id AND lt.id = ml.link_type_id AND k.keyword IN ('sequel', 'revenge', 'based-ON-novel') AND ml.movie_id = mc.movie_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND mi.movie_id = t.id | job |
SELECT i_brand AS brand, i_manufact, i_manufact_id, SUM(ss_ext_sales_price) AS ext_price, i_brand_id AS brand_id FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE d_moy = 12 AND i_manager_id = 3 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND d_year = 1999 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 s_phone, s_name, s_acctbal, p_partkey, n_name, s_address, s_comment, 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 count(*) from comments as c, posts as p, postHistory as ph, votes as v, users as u where ph.UserId = v.UserId AND p.Score <= 13 AND c.UserId = p.OwnerUserId AND p.AnswerCount >= 0 AND u.Id = c.UserId AND p.OwnerUserId = ph.UserId | stats |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE n_name = 1 AND l1.l_receiptdate > l1.l_commitdate AND s_suppkey = l1.l_suppkey 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 ) AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND o_orderkey = l1.l_orderkey AND o_orderstatus = 'F' GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
Select Avg(cs_coupon_amt) As agg3, Avg(cs_sales_price) As agg4, i_item_id, Avg(cs_quantity) As agg1, Avg(cs_list_price) As agg2 From catalog_sales Join customer_demographics On cs_bill_cdemo_sk = cd_demo_sk Join date_dim On cs_sold_date_sk = d_date_sk Join item On cs_item_sk = i_item_sk Join promotion On cs_promo_sk = p_promo_sk Where cd_gender = 'M' And cd_marital_status = 'W' And cd_education_status = 'Advanced Degree' And (p_channel_email = 'N' Or p_channel_event = 'N') And d_year = 2000 Group By i_item_id Order By i_item_id Limit 100; | tpcds |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, posts AS p, votes AS v WHERE p.Id = v.PostId AND c.Score = 0 AND v.VoteTypeId = 2 AND c.PostId = p.Id ) SELECT * FROM _q; | 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 t.id = mk.movie_id AND n.id = ci.person_id AND ct.id = mc.company_type_id AND an.person_id = n.id AND ci.note LIKE '%(voice: English version)%' AND cn.country_code = '[jp]' AND t.production_year > 1990 AND ci.person_id = an.person_id AND mk.movie_id = ci.movie_id AND rt.role = 'actress' AND t.id = ci.movie_id AND ci.role_id = rt.id AND n.gender = 'f' AND cn.id = mc.company_id AND mk.movie_id = mc.movie_id AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND k.keyword = 'anime' AND k.id = mk.keyword_id AND mc.note NOT LIKE '%(USA)%' | job |
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