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SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE at.movie_id = mc.movie_id AND kt.kind = 'movie' AND mi.info LIKE 'USA:%200%' AND t.id = mc.movie_id AND it2.info = 'release dates' AND it2.id = mi.info_type_id AND mi_idx.info < '3.5' AND t.id = at.movie_id AND t.production_year > 2000 AND at.title LIKE '%Champion%' AND t.id = mi.movie_id AND mi_idx.movie_id = mc.movie_id AND at.movie_id = mi.movie_id AND it1.id = mi_idx.info_type_id AND kt.id = t.kind_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND it1.info = 'rating' AND t.id = mi_idx.movie_id AND cn.country_code = '[us]' AND cn.id = mc.company_id AND at.movie_id = mi_idx.movie_id | job |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where t.production_year > 2000 AND k.id = mk.keyword_id AND mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.keyword like '%sequel%' AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id LIMIT 20; | job |
SELECT MAX(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code ='[sm]' AND k.keyword ='character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id LIMIT 10; | 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 mi.movie_id = mc.movie_id AND ci.role_id = rt.id AND t.production_year > 2000 AND n.id = ci.person_id AND cn.id = mc.company_id AND chn.id = ci.person_role_id AND mc.note LIKE '%(USA)%' AND rt.role = 'actress' AND n.gender = 'f' AND mi.movie_id = ci.movie_id AND it.id = mi.info_type_id AND ci.movie_id = mc.movie_id AND ci.person_id = an.person_id AND t.id = ci.movie_id AND t.id = mi.movie_id AND cn.country_code = '[us]' AND an.person_id = n.id AND t.id = mc.movie_id AND it.info = 'release dates' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') | job |
select i_brand_id as brand_id, i_brand as brand, sum(ss_ext_sales_price) as ext_price from date_dim INNER JOIN store_sales on d_date_sk = ss_sold_date_sk INNER JOIN item on ss_item_sk = i_item_sk where i_manager_id = 1 and d_moy = 11 and d_year = 2001 group by i_brand, i_brand_id order by ext_price desc, brand_id limit 100; | tpcds |
SELECT cust_nation, supp_nation, SUM(volume) AS revenue, l_year FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE c_nationkey = n2.n_nationkey AND s_suppkey = l_suppkey AND o_orderkey = l_orderkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND c_custkey = o_custkey AND s_nationkey = n1.n_nationkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
select c_last_name, ss_ticket_number, bought_city, list_price, ca_city, c_first_name, extended_tax, 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 s_city in ('Five Points', 'Springfield') and (hd_dep_count = 6 or hd_vehicle_count = 2) and d_dow in (6, 0) and d_year in (2001, 2000, 2002) group by ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) as dn join customer on ss_customer_sk = c_customer_sk join customer_address on c_current_addr_sk = customer_address.ca_address_sk where ca_city <> bought_city order by c_last_name, ss_ticket_number limit 100; | tpcds |
SELECT i_item_id, AVG(ss_quantity) AS agg1, AVG(ss_list_price) AS agg2, AVG(ss_coupon_amt) AS agg3, AVG(ss_sales_price) AS agg4 FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'M' AND cd_marital_status = 'D' AND d_year = 2001 AND cd_education_status = 'Primary' GROUP BY i_item_id ORDER BY i_item_id; | tpcds |
SELECT o_shippriority, SUM(l_extendedprice * (1 - l_discount)) AS revenue, l_orderkey, o_orderdate FROM customer, orders, lineitem WHERE l_shipdate > DATE 1 AND c_custkey = o_custkey 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 ASC, o_orderdate LIMIT 10 | 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 ci.person_id = an.person_id AND k.keyword = 'anime' AND n.id = ci.person_id AND ci.role_id = rt.id AND rt.role = 'actress' AND mc.note LIKE '%(Japan)%' AND k.id = mk.keyword_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND ci.note LIKE '%(voice: English version)%' AND cn.country_code = '[jp]' AND n.gender = 'f' AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = ci.movie_id AND mk.movie_id = mc.movie_id AND t.production_year > 1990 AND cn.id = mc.company_id | job |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where k.keyword Like '%sequel%' AND mk.movie_id = mi.movie_id AND mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND k.id = mk.keyword_id AND t.id = mi.movie_id AND t.production_year > 2005 AND t.id = mk.movie_id | job |
SELECT SUM(CASE WHEN (CAST(d_date AS DATE) >= CAST('1998-01-01' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_after, SUM(CASE WHEN (CAST(d_date AS DATE) < CAST('1998-01-01' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_before, i_item_id, w_state FROM catalog_sales LEFT OUTER JOIN catalog_returns ON cs_order_number = cr_order_number AND cs_item_sk = cr_item_sk JOIN warehouse ON cs_warehouse_sk = w_warehouse_sk JOIN item ON i_item_sk = cs_item_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk WHERE i_current_price BETWEEN 6.75 AND 6.75 + 1.49 AND d_date BETWEEN (CAST('1998-01-01' AS DATE) - INTERVAL '30 days') AND (CAST('1998-01-01' AS DATE) + INTERVAL '30 days') GROUP BY w_state, i_item_id ORDER BY w_state, i_item_id; | tpcds |
SELECT ca_city, list_price, extended_tax, extended_price, c_first_name, ss_ticket_number, bought_city, c_last_name FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 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 LIMIT 100; | tpcds |
select min(k.keyword) as movie_keyword, min(n.name) as actor_name, min(t.title) as marvel_movie from cast_info as ci, keyword as k, movie_keyword as mk, name as n, title as t where ci.movie_id = mk.movie_id and n.name like '%Hemsworth%Chris%' and k.id = mk.keyword_id and t.id = mk.movie_id and n.id = ci.person_id and t.id = ci.movie_id and k.keyword = 'marvel-cinematic-universe' and t.production_year > 2010 | 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 ct.id = mc.company_type_id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND t.id = ci.movie_id AND rt.id = ci.role_id AND chn.id = ci.person_role_id AND ci.note LIKE '%(voice)%' AND t.production_year > 2005 AND ci.note LIKE '%(uncredited)%' AND rt.role = 'actor' AND cn.country_code = '[ru]' | job |
Select o_orderdate, o_shippriority, l_orderkey, Sum(l_extendedprice * (1 - l_discount)) As revenue From customer, orders, lineitem Where l_orderkey = o_orderkey And o_orderdate < DATE 1 And l_shipdate > DATE 1 And c_custkey = o_custkey And c_mktsegment = 1 Group By l_orderkey, o_orderdate, o_shippriority Order By revenue Desc, o_orderdate Limit 10 | tpch |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.PostTypeId = 1 AND u.Id = p.OwnerUserId AND p.Id = c.PostId AND p.Id = pl.PostId AND p.AnswerCount >= 0 AND p.Id = v.PostId AND p.Id = ph.PostId | stats |
Select Min(t.title) As movie_title From company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, title As t Where mc.movie_id = mk.movie_id And cn.id = mc.company_id And k.keyword ='character-name-In-title' And mc.movie_id = t.id And mk.keyword_id = k.id And cn.country_code ='[nl]' And t.id = mk.movie_id | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.production_year > 2005 AND k.keyword LIKE '%sequel%' AND k.id = mk.keyword_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND t.id = mk.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_vehicle_count > 0 AND d_year IN (2000, 2002, 2003) AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND s_county IN ('Bronz County', 'Daviess County', 'Maricopa County') AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.79 GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt ASC LIMIT 100; | tpcds |
With _q As ( Select Count(*) From comments As c, votes As v, badges As b, users As u Where u.Id = c.UserId AND u.Id = v.UserId AND u.CreationDate >= '2010-07-20 01:27:29'::timestamp ) Select * From _q AND c.Score = 1 AND u.Id = b.UserId | stats |
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 mk.keyword_id = k.id AND n.id = ci.person_id AND mc.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND ci.movie_id = t.id AND ci.movie_id = mk.movie_id AND an.person_id = n.id AND t.episode_nr >= 50 AND t.id = mc.movie_id AND k.keyword = 'character-name-in-title' AND mc.company_id = cn.id AND cn.country_code = '[us]' AND an.person_id = ci.person_id AND t.id = mk.movie_id | 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 i_manager_id = 73 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND d_year = 1999 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_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_nationkey = n_nationkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_orderkey = o_orderkey AND l_returnflag = 'R' AND c_custkey = o_custkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
select l_shipmode, sum( case when o_orderpriority = '1-URGENT' or o_orderpriority = '2-HIGH' then 1 else 0 end ) as high_line_count, sum( case when o_orderpriority <> '1-URGENT' and o_orderpriority <> '2-HIGH' then 1 else 0 end ) as low_line_count from orders, lineitem where l_commitdate < l_receiptdate and l_receiptdate >= DATE 1 and l_shipmode in (1, 1) and o_orderkey = l_orderkey and l_shipdate < l_commitdate and l_receiptdate < DATE 1 + INTERVAL '1' YEAR group by l_shipmode order by l_shipmode | 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 it.info = 'top 250 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id | 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 d_year = 1998 AND s_gmt_offset = -7 AND i_category = 'Electronics' AND d_year = 1998 AND d_moy = 9 ) 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 ca_gmt_offset = -7 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_moy = 9 ) AS all_sales AND s_gmt_offset = -7 AND i_category = 'Electronics' ORDER BY promotions, total 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 ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND t.id = mk.movie_id AND it1.id = mi.info_type_id AND kt.id = t.kind_id AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND cn.country_code != '[us]' AND t.production_year > 2008 AND it1.info = 'countries' AND mc.note LIKE '%(200%)%' AND mc.note NOT LIKE '%(USA)%' AND it2.id = mi_idx.info_type_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND t.id = mi.movie_id AND kt.kind IN ('movie', 'episode') AND mi_idx.info < '7.0' AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it2.info = 'rating' AND mk.movie_id = mc.movie_id AND t.id = mc.movie_id AND k.id = mk.keyword_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') | job |
SELECT c_last_name, c_first_name, c_preferred_cust_flag, ss_ticket_number, c_salutation, 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 (1999, 2002, 2001) AND hd_vehicle_count > 0 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND s_county IN ('Williamson County', 'Jefferson County', 'Jackson County', 'Champaign County') AND d_dom BETWEEN 1 AND 2 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 i_item_id, s_state, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, COUNT(sr_return_quantity) AS store_returns_quantitycount, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, AVG(cs_quantity) AS catalog_sales_quantityave, COUNT(cs_quantity) AS catalog_sales_quantitycount, COUNT(ss_quantity) AS store_sales_quantitycount, i_item_desc, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '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 promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE s_gmt_offset = -5 AND d_year = 2001 AND i_category = 'Jewelry' AND i_category = 'Jewelry' AND s_gmt_offset = -5 AND d_year = 2001 AND d_moy = 8 ) AS all_sales AND ca_gmt_offset = -5 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') 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 ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE t.id = mc.movie_id AND ct.kind = 'production companies' AND t.id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND mc.movie_id = mi.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'bottom 10 rank' AND it.id = mi.info_type_id | job |
SELECT STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(ss_quantity) AS store_sales_quantityave, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, COUNT(sr_return_quantity) AS store_returns_quantitycount, i_item_id, i_item_desc, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, s_state, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev 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 d3.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') AND d1.d_quarter_name = '2000Q1' AND d2.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT 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 an.person_id = ci.person_id AND mc.company_id = cn.id AND mk.keyword_id = k.id AND ci.movie_id = t.id AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND t.episode_nr < 100 AND mc.movie_id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND t.episode_nr >= 50 AND an.person_id = n.id AND n.id = ci.person_id AND k.keyword = 'character-name-in-title' | job |
Select i_item_id, i_item_desc, i_current_price From item INNER JOIN inventory On i_item_sk = inv_item_sk INNER JOIN date_dim On d_date_sk = inv_date_sk INNER JOIN store_sales On ss_item_sk = i_item_sk Where i_manufact_id In (427, 128, 154, 9) AND d_date BETWEEN CAST('2002-01-23' As DATE) AND (CAST('2002-01-23' As DATE) + INTERVAL '60 days') AND i_current_price BETWEEN 80 AND 80 + 30 AND inv_quantity_on_hand BETWEEN 100 AND 500 Group By i_item_id, i_item_desc, i_current_price Order By i_item_id Limit 100; | tpcds |
SELECT COUNT(1) FROM badges AS b, users AS u, posts AS p WHERE p.PostTypeId = 1 AND u.Reputation >= 1 AND u.Id = p.OwnerUserId AND u.Id = b.UserId LIMIT 100; | stats |
SELECT MAX(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = mk.movie_id AND k.keyword ='character-name-in-title' AND cn.id = mc.company_id AND mk.keyword_id = k.id AND cn.country_code ='[sm]' AND t.id = mk.movie_id AND mc.movie_id = t.id LIMIT 1000; | job |
Select l_orderkey, o_orderdate, o_shippriority, 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(t.title) as movie_title from company_name as cn, keyword as k, movie_companies as mc, movie_keyword as mk, title as t where cn.country_code ='[nl]' AND mc.movie_id = t.id 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 MIN(t.title) AS japanese_movie_dubbed, MIN(an1.name) AS actress_pseudonym 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 cn.country_code = '[jp]' AND an1.person_id = n1.id AND an1.person_id = ci.person_id AND ci.movie_id = t.id AND ci.movie_id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND t.id = mc.movie_id AND n1.id = ci.person_id AND ci.role_id = rt.id AND ci.note = '(voice: English version)' AND n1.name LIKE '%Yo%' AND mc.note NOT LIKE '%(USA)%' AND rt.role = 'actress' AND mc.company_id = cn.id AND n1.name NOT LIKE '%Yu%' | job |
SELECT SUM(CASE WHEN (CAST(d_date AS DATE) < CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_before, i_item_id, SUM(CASE WHEN (CAST(d_date AS DATE) >= CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_after, w_state FROM catalog_sales LEFT OUTER JOIN catalog_returns ON cs_order_number = cr_order_number AND cs_item_sk = cr_item_sk JOIN warehouse ON cs_warehouse_sk = w_warehouse_sk JOIN item ON i_item_sk = cs_item_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk WHERE d_date BETWEEN (CAST('2000-03-11' AS DATE) - INTERVAL '30 days') AND (CAST('2000-03-11' AS DATE) + INTERVAL '30 days') AND i_current_price BETWEEN 68.67 AND 68.67 + 1.49 GROUP BY w_state, i_item_id ORDER BY w_state, i_item_id 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 ci.role_id = rt.id AND ci.person_id = an.person_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND an.person_id = n.id AND it.id = mi.info_type_id AND t.production_year > 2000 AND rt.role = 'actress' AND cn.country_code = '[us]' AND it.info = 'release dates' AND cn.id = mc.company_id AND n.id = ci.person_id AND t.id = mi.movie_id AND chn.id = ci.person_role_id AND mc.note LIKE '%(USA)%' AND n.gender = 'f' AND mi.movie_id = mc.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') | job |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, SUM(ss_quantity) AS store_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, SUM(cs_quantity) AS catalog_sales_quantity FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d2.d_moy >= 10 AND d3.d_moy BETWEEN 10 AND 10 + 3 AND d2.d_year = 2000 AND d1.d_moy = 10 AND d3.d_year = 2000 AND d2.d_moy <= 10 + 3 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(*) FROM comments AS c, posts AS p, votes AS v, users AS u WHERE u.Id = c.UserId AND c.Score = 0 AND p.ViewCount >= 0 AND p.Score >= 0 AND u.Id = v.UserId AND u.Id = p.OwnerUserId LIMIT 100; | stats |
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 it.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'top 250 rank' AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND ct.kind = 'production companies' | job |
Select Count(*) From comments As c, posts As p, postHistory As ph, votes As v, users As u Where p.Score <= 13 AND u.Id = c.UserId AND c.UserId = p.OwnerUserId AND p.AnswerCount >= 0 AND p.OwnerUserId = ph.UserId AND ph.UserId = v.UserId | stats |
select sum( case when o_orderpriority <> '1-URGENT' and o_orderpriority <> '2-HIGH' then 1 else 0 end ) as low_line_count, sum( case when o_orderpriority = '1-URGENT' or o_orderpriority = '2-HIGH' then 1 else 0 end ) as high_line_count, l_shipmode from orders, lineitem where o_orderkey = l_orderkey and l_shipmode in (1, 1) and l_commitdate < l_receiptdate and l_shipdate < l_commitdate and l_receiptdate >= DATE 1 and l_receiptdate < DATE 1 + INTERVAL '1' YEAR group by l_shipmode order by l_shipmode limit 1000; | tpch |
Select i_current_price, i_item_id, i_item_desc From item Join inventory On i_item_sk = inv_item_sk Join date_dim On d_date_sk = inv_date_sk Join store_sales On ss_item_sk = i_item_sk Where i_manufact_id In (427, 128, 154, 9) AND d_date BETWEEN CAST('2002-01-23' As DATE) AND (CAST('2002-01-23' As DATE) + INTERVAL '60 days') AND inv_quantity_on_hand BETWEEN 100 AND 500 AND i_current_price BETWEEN 80 AND 80 + 30 Group By i_item_id, i_item_desc, i_current_price Order By i_item_id Limit 100; | tpcds |
SELECT STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, COUNT(ss_quantity) AS store_sales_quantitycount, i_item_id, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, i_item_desc, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(cs_quantity) AS catalog_sales_quantityave, AVG(ss_quantity) AS store_sales_quantityave, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, s_state FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE 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 SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, l_shipmode FROM orders, lineitem WHERE l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipdate < l_commitdate AND l_commitdate < l_receiptdate AND l_shipmode IN (1, 1) GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE t.id = ci.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND mi.movie_id = ci.movie_id AND mc.note LIKE '%(USA)%' AND t.id = mc.movie_id AND ci.person_id = an.person_id AND n.gender = 'f' AND mi.movie_id = mc.movie_id AND rt.role = 'actress' AND cn.country_code = '[us]' AND it.info = 'release dates' AND an.person_id = n.id AND it.id = mi.info_type_id AND t.id = mi.movie_id AND cn.id = mc.company_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.movie_id = mc.movie_id AND ci.role_id = rt.id AND t.production_year > 2000 | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' | job |
WITH _q AS ( SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code ='[nl]' AND k.keyword ='character-name-in-title' AND mc.movie_id = mk.movie_id ) SELECT * FROM _q AND mc.movie_id = t.id AND cn.id = mc.company_id AND mk.keyword_id = k.id AND t.id = mk.movie_id | job |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE u.Id = b.UserId AND p.Id = ph.PostId AND p.Id = v.PostId AND u.Id = p.OwnerUserId AND p.ViewCount >= 0 AND p.Id = c.PostId AND p.Score <= 192 LIMIT 500; | stats |
select min(cn.name) as from_company, min(lt.link) as link_type, min(t.title) as western_sequel from company_name as cn, company_type as ct, info_type as it, keyword as k, link_type as lt, movie_companies as mc, movie_info as mi, movie_keyword as mk, movie_link as ml, title as t where lt.link like '%follow%' and t.id = ml.movie_id and mi.info like 'USA:% 199%' and mi.movie_id = t.id and ml.movie_id = mc.movie_id and mi.note like '%internet%' and t.id = mc.movie_id and mc.note like '%(USA)%' and t.production_year > 1950 and ct.id = mc.company_type_id and cn.country_code = '[us]' and ml.movie_id = mi.movie_id and cn.id = mc.company_id and t.id = mk.movie_id and lt.id = ml.link_type_id and k.id = mk.keyword_id and it.info = 'release dates' and it.id = mi.info_type_id and ml.movie_id = mk.movie_id and k.keyword = ANY(ARRAY['sequel', 'revenge', 'based-on-novel']) and mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' and mk.movie_id = mc.movie_id | job |
SELECT MAX(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 mk.keyword_id = k.id AND cn.country_code ='[sm]' AND mc.movie_id = t.id AND t.id = mk.movie_id AND cn.id = mc.company_id AND k.keyword ='character-name-in-title' LIMIT 500; | job |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE mc.note LIKE '%(USA)%' AND mi.note LIKE '%internet%' AND t.id = mk.movie_id AND mi.info LIKE 'USA:% 199%' AND ml.movie_id = mk.movie_id AND cn.id = mc.company_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mk.movie_id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND lt.link LIKE '%follow%' AND t.id = mc.movie_id AND k.id = mk.keyword_id AND cn.country_code = '[us]' AND ml.movie_id = mi.movie_id AND it.info = 'release dates' AND mi.movie_id = t.id AND t.id = ml.movie_id AND ml.movie_id = mc.movie_id AND t.production_year > 1950 AND lt.id = ml.link_type_id AND it.id = mi.info_type_id LIMIT 20; | job |
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 t.id = mi_idx.movie_id and it.id = mi_idx.info_type_id and mi_idx.info > '8.0' and it.info ='rating' and t.production_year between 2000 and 2005 | job |
select count(*) from comments as c, posts as p, users as u where u.Id = p.OwnerUserId AND c.UserId = u.Id AND p.CommentCount >= 0 AND c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND p.FavoriteCount >= 0 AND p.ViewCount >= 0 | stats |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE k.keyword ='character-name-IN-title' AND cn.country_code ='[sm]' AND mc.movie_id = t.id AND mk.keyword_id = k.id AND cn.id = mc.company_id AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id | job |
SELECT s_name, s_comment, p_mfgr, s_address, p_partkey, n_name, s_phone, 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 SUM(ss_ext_sales_price) AS ext_price, i_brand_id AS brand_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 WHERE i_manager_id = 33 AND d_moy = 11 AND d_year = 2001 GROUP BY i_brand, i_brand_id ORDER BY ext_price ASC, brand_id LIMIT 100; | 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 mc.movie_id = t.id AND it.info = 'rating' AND miidx.movie_id = mc.movie_id AND ct.kind = 'production companies' AND mi.movie_id = t.id AND it2.info = 'release dates' AND kt.id = t.kind_id AND kt.kind = 'movie' AND cn.id = mc.company_id AND it2.id = mi.info_type_id AND miidx.movie_id = t.id AND mi.movie_id = miidx.movie_id AND cn.country_code = '[de]' AND ct.id = mc.company_type_id AND mi.movie_id = mc.movie_id AND it.id = miidx.info_type_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 p_brand <> 1 AND NOT EXISTS (SELECT 1 FROM (SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%') AS _ne WHERE _ne.ps_suppkey = ps_suppkey) 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 nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE ps_suppkey = l_suppkey AND ps_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year DESC LIMIT 50; | tpch |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE c_custkey = o_custkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND c_nationkey = n2.n_nationkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND s_nationkey = n1.n_nationkey AND o_orderkey = l_orderkey AND s_suppkey = l_suppkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | 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 mk.movie_id = ci.movie_id AND t.id = mk.movie_id AND ct.id = mc.company_type_id AND ci.note LIKE '%(voice: English version)%' AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(Japan)%' AND n.id = ci.person_id AND t.id = ci.movie_id AND k.keyword = 'anime' AND rt.role = 'actress' AND k.id = mk.keyword_id AND ci.person_id = an.person_id AND n.gender = 'f' AND t.production_year > 1990 AND ci.role_id = rt.id AND mk.movie_id = mc.movie_id AND cn.country_code = '[jp]' AND cn.id = mc.company_id AND an.person_id = n.id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = v.PostId AND p.FavoriteCount >= 0 AND pl.LinkTypeId = 1 AND p.Id = pl.PostId AND c.Score = 0 AND p.Id = ph.PostId AND p.Id = c.PostId LIMIT 100; | stats |
SELECT i_item_id, AVG(cs_coupon_amt) AS agg3, AVG(cs_list_price) AS agg2, AVG(cs_sales_price) AS agg4, AVG(cs_quantity) AS agg1 FROM catalog_sales JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk JOIN item ON cs_item_sk = i_item_sk JOIN promotion ON cs_promo_sk = p_promo_sk WHERE (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'F' AND cd_education_status = 'Advanced Degree' AND d_year = 1999 AND cd_marital_status = 'S' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT s_phone, s_acctbal, s_comment, p_mfgr, n_name, s_address, p_partkey, s_name 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 mk.keyword_id = k.id AND cn.country_code ='[nl]' AND k.keyword ='character-name-in-title' AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND t.id = mk.movie_id AND mc.movie_id = t.id | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword = 'marvel-cinematic-universe' AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2010 AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND n.id = ci.person_id AND t.id = ci.movie_id AND k.id = mk.keyword_id | job |
SELECT STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, i_item_desc, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, COUNT(sr_return_quantity) AS store_returns_quantitycount, i_item_id, s_state, AVG(cs_quantity) AS catalog_sales_quantityave, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, AVG(ss_quantity) AS store_sales_quantityave 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 = '2001Q1' AND d2.d_quarter_name IN ('2001Q1', '2002Q2', '1999Q4') AND d3.d_quarter_name IN ('2001Q1', '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 c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt From ( Select ss_ticket_number, ss_customer_sk, Count(*) As cnt From store_sales Join date_dim On ss_sold_date_sk = d_date_sk Join store On ss_store_sk = s_store_sk Join household_demographics On ss_hdemo_sk = hd_demo_sk Where hd_vehicle_count > 0 And (d_dom Between 1 And 3 Or d_dom Between 25 And 28) And s_county In ('Williamson County', 'Washington County', 'Placer County') And (Case When hd_vehicle_count > 0 Then hd_dep_count / hd_vehicle_count Else NULL End) > 1.56 And (hd_buy_potential = '>10000' Or hd_buy_potential = 'Unknown') And d_year In (2000, 2000, 2003) 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(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 an.person_id = ci.person_id AND ci.movie_id = t.id AND k.keyword = 'character-name-in-title' AND t.episode_nr >= 50 AND t.id = mk.movie_id AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND mk.keyword_id = k.id AND ci.movie_id = mk.movie_id AND mc.company_id = cn.id AND mc.movie_id = mk.movie_id AND n.id = ci.person_id AND an.person_id = n.id AND t.episode_nr < 100 AND t.id = mc.movie_id | job |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE lt.id = ml.link_type_id AND t.id = mc.movie_id AND mi.info LIKE 'USA:% 199%' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.note LIKE '%(USA)%' AND mi.note LIKE '%internet%' AND mi.movie_id = t.id AND t.production_year > 1950 AND it.id = mi.info_type_id AND k.id = mk.keyword_id AND it.info = 'release dates' AND ml.movie_id = mi.movie_id AND ml.movie_id = mk.movie_id AND cn.country_code = '[us]' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mk.movie_id = mc.movie_id AND t.id = mk.movie_id AND lt.link LIKE '%follow%' AND ml.movie_id = mc.movie_id AND t.id = ml.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id | job |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, SUM(ss_quantity) AS store_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, SUM(cs_quantity) AS catalog_sales_quantity FROM store_sales 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 = 3 AND d2.d_year = 2001 AND d3.d_year = 2001 AND d2.d_moy BETWEEN 3 AND 3 + 3 AND d1.d_year = 2001 AND d3.d_moy BETWEEN 3 AND 3 + 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 extended_tax, ss_ticket_number, list_price, extended_price, c_last_name, c_first_name, ca_city, 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 d_dow IN (6, 0) AND (hd_dep_count = 4 OR hd_vehicle_count = 4) AND s_city IN ('Clinton', 'Glendale') AND d_year IN (2001, 2000, 2001) 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 MAX(cn.name) AS movie_company, MAX(mi_idx.info) AS rating, MAX(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE t.id = mc.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND kt.id = t.kind_id AND t.production_year > 2008 AND kt.kind IN ('movie', 'episode') AND t.id = mi.movie_id AND it1.info = 'countries' AND it2.id = mi_idx.info_type_id AND mi.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND mi.movie_id = mi_idx.movie_id AND it1.id = mi.info_type_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND cn.country_code != '[us]' AND t.id = mi_idx.movie_id AND it2.info = 'rating' AND mc.movie_id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mc.note LIKE '%(200%)%' AND mk.movie_id = mc.movie_id AND mi_idx.info < '7.0' AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND k.id = mk.keyword_id | job |
SELECT COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_size, p_type, p_brand FROM partsupp, part WHERE p_partkey = ps_partkey AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_type NOT LIKE 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_brand <> 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT AVG(l_quantity) AS avg_qty, l_linestatus, l_returnflag, SUM(l_extendedprice) AS sum_base_price, AVG(l_discount) AS avg_disc, AVG(l_extendedprice) AS avg_price, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_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 l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority != '1-URGENT' AND o_orderpriority != '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) AND o_orderkey = l_orderkey AND l_shipdate < l_commitdate AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, users AS u WHERE c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND p.ViewCount >= 0 AND c.UserId = u.Id AND p.FavoriteCount >= 0 AND u.Id = p.OwnerUserId AND p.CommentCount >= 0 LIMIT 200; | stats |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id | job |
SELECT s_name, s_address FROM supplier, nation WHERE s_nationkey = n_nationkey AND n_name = 1 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 ) ) ORDER BY s_name LIMIT 1000; | tpch |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate AND o_orderkey = l_orderkey AND l_shipdate < l_commitdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
select count(*) from comments as c, postHistory as ph, badges as b, votes as v, users as u where v.UserId = c.UserId AND ph.UserId = v.UserId AND ph.PostHistoryTypeId = 12 AND u.UpVotes = 0 AND b.UserId = ph.UserId AND u.Id = b.UserId | 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 mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND mc.movie_id = mi.movie_id AND it.id = mi.info_type_id AND it.info = 'bottom 10 rank' AND ct.kind = 'production companies' AND t.id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id | job |
Select n_name, Sum(l_extendedprice * (1 - l_discount)) As revenue From customer, orders, lineitem, supplier, nation, region Where o_orderdate >= DATE 1 AND c_nationkey = s_nationkey AND s_nationkey = n_nationkey AND l_suppkey = s_suppkey AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND c_custkey = o_custkey AND r_name = 1 AND n_regionkey = r_regionkey Group By n_name Order By revenue Desc | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND o_orderstatus = 'F' AND o_orderkey = l1.l_orderkey 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 n_name = 1 AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND s_suppkey = l1.l_suppkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.AnswerCount >= 0 AND u.Id = p.OwnerUserId AND p.Id = ph.PostId AND p.Id = c.PostId AND p.PostTypeId = 1 AND p.Id = pl.PostId AND p.Id = v.PostId | stats |
Select i_current_price, i_item_desc, i_item_id From item Join inventory On i_item_sk = inv_item_sk Join date_dim On d_date_sk = inv_date_sk Join catalog_sales On cs_item_sk = i_item_sk Where inv_quantity_on_hand BETWEEN 100 AND 500 AND i_manufact_id In (148, 455, 491, 85) AND i_current_price BETWEEN 95 AND 95 + 30 AND d_date BETWEEN CAST('2002-01-23' As DATE) AND (CAST('2002-01-23' As DATE) + INTERVAL '60 days') Group By i_item_id, i_item_desc, i_current_price Order By i_item_id Limit 100; | tpcds |
Select Min(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 ci.note Like '%(uncredited)%' AND t.id = mc.movie_id AND cn.country_code = '[ru]' AND ci.note Like '%(voice)%' AND t.production_year > 2005 AND ct.id = mc.company_type_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.role = 'actor' AND rt.id = ci.role_id AND cn.id = mc.company_id AND t.id = ci.movie_id | job |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.id = mk.movie_id AND t.production_year > 2005 AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND k.keyword like '%sequel%' | job |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, posts AS p, users AS u WHERE p.ViewCount >= 0 AND u.Id = p.OwnerUserId AND p.FavoriteCount >= 0 ) SELECT * FROM _q AND c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND c.UserId = u.Id AND p.CommentCount >= 0 | stats |
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 k.keyword like '%sequel%' and t.id = mk.movie_id and t.id = mi.movie_id and mk.movie_id = mi.movie_id and mi.info in ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') | job |
Select Avg(ss_quantity), Avg(ss_ext_sales_price), Avg(ss_ext_wholesale_cost), Sum(ss_ext_wholesale_cost) From store_sales Join store On s_store_sk = ss_store_sk Join customer_demographics On cd_demo_sk = ss_cdemo_sk Join household_demographics On hd_demo_sk = ss_hdemo_sk Join customer_address On ca_address_sk = ss_addr_sk Join date_dim On d_date_sk = ss_sold_date_sk Where ca_country = 'United States' AND ( (hd_dep_count = 2 And hd_vehicle_count <= 3) Or (hd_dep_count = 4 And hd_vehicle_count <= 3) Or (hd_dep_count = 5 And hd_vehicle_count <= 5) ) AND d_year = 2001 AND ca_state In ('TX', 'GA', 'NC') AND s_market_id = 9 AND ( (cd_marital_status = 'M' And cd_education_status = 'College' And ss_sales_price BETWEEN 77 AND 143) Or (cd_marital_status = 'M' And cd_education_status = 'Secondary' And ss_sales_price BETWEEN 99 AND 100) Or (cd_marital_status = 'W' And cd_education_status = 'College' And ss_sales_price BETWEEN 134 AND 179) ) | tpcds |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword = 'character-name-in-title' AND an.person_id = n.id AND n.id = ci.person_id AND mc.company_id = cn.id AND ci.movie_id = t.id AND t.episode_nr >= 50 AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mk.movie_id AND t.episode_nr < 100 AND t.id = mk.movie_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 cn.country_code ='[sm]' AND mk.keyword_id = k.id AND t.id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.id AND mc.movie_id = mk.movie_id AND k.keyword ='character-name-in-title' | job |
SELECT ss_ticket_number, c_first_name, cnt, c_salutation, c_last_name, c_preferred_cust_flag FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_dom BETWEEN 1 AND 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 |
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