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select bought_city, c_last_name, ca_city, extended_price, list_price, c_first_name, ss_ticket_number, extended_tax 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 MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE it.info = 'bottom 10 rank' AND ct.id = mc.company_type_id AND t.id = mi.movie_id AND ct.kind = 'production companies' AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi.info_type_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 n.name LIKE '%Hemsworth%Chris%' AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 | 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 k.keyword ='character-name-in-title' AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.id AND cn.country_code ='[de]' AND mk.keyword_id = k.id | job |
SELECT MIN(t.title) AS german_movie, MIN(mi.info) AS release_date, MIN(miidx.info) AS rating 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 mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND it.id = miidx.info_type_id AND ct.kind = 'production companies' AND mi.movie_id = t.id AND miidx.movie_id = t.id AND it2.info = 'release dates' AND mi.movie_id = miidx.movie_id AND mc.movie_id = t.id AND ct.id = mc.company_type_id AND it2.id = mi.info_type_id AND kt.kind = 'movie' AND cn.country_code = '[de]' AND miidx.movie_id = mc.movie_id AND it.info = 'rating' | job |
SELECT ss_ticket_number, c_first_name, c_salutation, c_preferred_cust_flag, c_last_name, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_dom BETWEEN 1 AND 2 AND s_county IN ('Williamson County', 'Jefferson County', 'Jackson County', 'Champaign County') AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND d_year IN (1999, 2002, 2001) 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; | tpcds |
Select Count(*) From comments As c, posts As p, users As u Where c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND p.CommentCount >= 0 AND p.FavoriteCount >= 0 AND p.ViewCount >= 0 AND c.UserId = u.Id AND u.Id = p.OwnerUserId | stats |
select max(t.title) as american_movie from company_type as ct, info_type as it, movie_companies as mc, movie_info as mi, title as t where ct.id = mc.company_type_id and mc.movie_id = mi.movie_id and mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' and it.id = mi.info_type_id and (mc.note like '%(co-production)%' or mc.note like '%(presents)%') and ct.kind = 'production companies' and t.id = mi.movie_id and t.id = mc.movie_id and it.info = 'bottom 10 rank' | 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 ( (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 AND ca_gmt_offset = -6 AND d_moy = 12 GROUP BY cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status ORDER BY returns_loss ASC LIMIT 100 ) SELECT * FROM _q; | 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 t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND mi_idx.info < '3.5' AND it1.id = mi_idx.info_type_id AND it2.id = mi.info_type_id AND mi.info Like 'USA:%200%' AND kt.kind = 'movie' AND mi_idx.movie_id = mc.movie_id AND at.title Like '%Champion%' AND t.id = at.movie_id AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND at.movie_id = mc.movie_id AND t.production_year > 2000 AND cn.country_code = '[us]' AND it2.info = 'release dates' AND mi.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND at.movie_id = mi.movie_id AND it1.info = 'rating' | job |
SELECT cnt, c_salutation, ss_ticket_number, c_last_name, c_first_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 = ANY(ARRAY[1999, 2002, 2001]) AND s_county IN ('Williamson County', 'Jefferson County', 'Jackson County', 'Champaign County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT MIN(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 k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND cn.id = mc.company_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND t.production_year > 2008 AND k.id = mk.keyword_id AND mc.note LIKE '%(200%)%' AND it2.info = 'rating' AND cn.country_code != '[us]' AND mk.movie_id = mi.movie_id AND it2.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(USA)%' AND it1.info = 'countries' AND kt.kind IN ('movie', 'episode') AND it1.id = mi.info_type_id AND mi_idx.info < '7.0' AND t.id = mi.movie_id AND mk.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND mi.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND kt.id = t.kind_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.id = mc.company_id And t.id = mk.movie_id And k.keyword ='character-name-In-title' And mk.keyword_id = k.id And mc.movie_id = mk.movie_id And mc.movie_id = t.id And cn.country_code ='[de]' | job |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE n1.n_regionkey = r_regionkey AND r_name = 1 AND s_nationkey = n2.n_nationkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_type = 1 ) AS all_nations AND l_orderkey = o_orderkey AND c_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey AND o_custkey = c_custkey AND p_partkey = l_partkey GROUP BY o_year ORDER BY o_year LIMIT 500; | tpch |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.production_year > 2005 AND k.keyword LIKE '%sequel%' AND t.id = mi.movie_id | job |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE mi.movie_id = t.id AND it2.id = mi.info_type_id AND it.id = miidx.info_type_id AND cn.country_code = '[de]' AND kt.kind = 'movie' AND mi.movie_id = miidx.movie_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND cn.id = mc.company_id AND it2.info = 'release dates' AND kt.id = t.kind_id AND miidx.movie_id = mc.movie_id AND miidx.movie_id = t.id AND it.info = 'rating' AND mc.movie_id = t.id AND mi.movie_id = mc.movie_id | job |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE o_custkey = c_custkey AND r_name = 1 AND p_partkey = l_partkey AND p_type = 1 ) AS all_nations AND n1.n_regionkey = r_regionkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_nationkey = n2.n_nationkey AND c_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey AND l_orderkey = o_orderkey GROUP BY o_year ORDER BY o_year | tpch |
WITH year_total AS ( SELECT c_birth_country AS customer_birth_country, c_email_address AS customer_email_address, c_last_name AS customer_last_name, c_first_name AS customer_first_name, d_year AS dyear, c_preferred_cust_flag AS customer_preferred_cust_flag, c_login AS customer_login, c_customer_id AS customer_id, 's' AS sale_type, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address; | tpcds |
SELECT AVG(l_quantity) AS avg_qty, l_linestatus, COUNT(1) AS count_order, SUM(l_extendedprice) AS sum_base_price, l_returnflag, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_discount) AS avg_disc, 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 i_manufact, sum(ss_ext_sales_price) as ext_price, i_manufact_id, i_brand_id as brand_id, i_brand as brand from date_dim inner join store_sales on d_date_sk = ss_sold_date_sk inner join item on ss_item_sk = i_item_sk inner join customer on ss_customer_sk = c_customer_sk inner join customer_address on c_current_addr_sk = ca_address_sk inner join store on ss_store_sk = s_store_sk where d_moy = 12 and d_year = 1999 and i_manager_id = 3 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 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 o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND l_orderkey = o_orderkey AND c_custkey = o_custkey AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE s_nationkey = n_nationkey AND l_suppkey = s_suppkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND r_name = 1 AND n_regionkey = r_regionkey AND c_nationkey = s_nationkey AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT s_store_id, i_item_desc, SUM(cs_quantity) AS catalog_sales_quantity, SUM(ss_quantity) AS store_sales_quantity, i_item_id, SUM(sr_return_quantity) AS store_returns_quantity, s_store_name FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_moy = 3 AND d1.d_year = 2001 AND d2.d_moy BETWEEN 3 AND 3 + 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 3 AND 3 + 3 AND d3.d_year = 2001 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND n.name LIKE '%Downey%Robert%' | 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 n.id = ci.person_id AND t.id = mk.movie_id AND n.name like '%Hemsworth%Chris%' AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND k.id = mk.keyword_id AND t.production_year > 2010 | job |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND o_custkey = c_custkey AND l_orderkey = o_orderkey AND c_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey AND p_type = 1 ) AS all_nations AND n1.n_regionkey = r_regionkey AND r_name = 1 AND s_nationkey = n2.n_nationkey AND p_partkey = l_partkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT p_partkey, s_comment, s_address, s_acctbal, s_name, n_name, p_mfgr, s_phone FROM part, supplier, partsupp, nation, region WHERE s_suppkey = ps_suppkey AND p_size = 1 AND p_partkey = ps_partkey 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 ) AND p_type LIKE 1 AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT s_store_name, SUM(cs_quantity) AS catalog_sales_quantity, SUM(ss_quantity) AS store_sales_quantity, i_item_id, s_store_id, i_item_desc, SUM(sr_return_quantity) AS store_returns_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 = 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 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 ps_suppkey = l_suppkey AND s_nationkey = n_nationkey AND o_orderkey = l_orderkey AND s_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 c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_comment FROM customer, orders, lineitem, nation WHERE l_returnflag = 'R' AND c_nationkey = n_nationkey AND l_orderkey = o_orderkey AND c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND o_orderdate >= DATE 1 GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT 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.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_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 it.id = mi_idx.info_type_id AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND t.id = mc.movie_id | 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 t.production_year BETWEEN 2000 AND 2005 AND it.info ='rating' AND mi_idx.info > '8.0' LIMIT 20; | job |
SELECT i_brand AS brand, i_brand_id AS brand_id, i_manufact_id, SUM(ss_ext_sales_price) AS ext_price, i_manufact 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 i_manager_id = 12 AND d_year = 1999 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 |
WITH _q AS ( 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_gender = 'F' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = 'Advanced Degree' AND cd_marital_status = 'S' AND d_year = 1999 GROUP BY i_item_id ORDER BY i_item_id LIMIT 100 ) SELECT * FROM _q; | tpcds |
Select Count(*) From comments As c, posts As p, users As u Where c.UserId = u.Id And c.CreationDate >= '2010-08-05 00:36:02'::timestamp And p.CommentCount >= 0 And u.Id = p.OwnerUserId And p.FavoriteCount >= 0 And p.ViewCount >= 0 | stats |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE s_suppkey = l_suppkey AND s_nationkey = n2.n_nationkey AND p_type = 1 ) AS all_nations AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND r_name = 1 AND c_nationkey = n1.n_nationkey AND n1.n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND p_partkey = l_partkey AND o_custkey = c_custkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT ss_ticket_number, c_last_name, ca_city, list_price, c_first_name, bought_city, extended_price, extended_tax 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; | tpcds |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE s_suppkey = l_suppkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND c_custkey = o_custkey AND c_nationkey = n2.n_nationkey AND s_nationkey = n1.n_nationkey AND o_orderkey = l_orderkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT o_shippriority, SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, l_orderkey FROM customer, orders, lineitem WHERE c_custkey = o_custkey AND l_shipdate > DATE 1 AND o_orderdate < DATE 1 AND l_orderkey = o_orderkey AND c_mktsegment = 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, 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 t.id = mk.movie_id AND mk.movie_id = ci.movie_id AND t.production_year > 1990 AND ci.role_id = rt.id AND t.id = mc.movie_id AND n.gender = 'f' AND cn.id = mc.company_id AND k.id = mk.keyword_id AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND an.person_id = n.id AND t.id = ci.movie_id AND ci.note LIKE '%(voice: English version)%' AND n.id = ci.person_id AND ct.id = mc.company_type_id AND ci.person_id = an.person_id AND mc.note LIKE '%(Japan)%' AND cn.country_code = '[jp]' AND k.keyword = 'anime' AND mc.note NOT LIKE '%(USA)%' | job |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE p_type = 1 ) AS all_nations AND s_suppkey = l_suppkey AND s_nationkey = n2.n_nationkey AND p_partkey = l_partkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND n1.n_regionkey = r_regionkey AND r_name = 1 AND c_nationkey = n1.n_nationkey AND l_orderkey = o_orderkey AND o_custkey = c_custkey GROUP BY o_year ORDER BY o_year | tpch |
WITH _q AS ( SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.id = mc.company_id AND k.keyword ='character-name-in-title' AND cn.country_code ='[sm]' AND t.id = mk.movie_id AND mc.movie_id = t.id AND mc.movie_id = mk.movie_id ) SELECT * FROM _q AND mk.keyword_id = k.id LIMIT 200; | job |
SELECT p_brand, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_type FROM partsupp, part WHERE ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_partkey = ps_partkey AND p_brand <> 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) 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 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 catalog_sales On cs_item_sk = i_item_sk Where inv_quantity_on_hand BETWEEN 100 AND 500 AND i_current_price BETWEEN 75 AND 75 + 30 AND d_date BETWEEN CAST('2000-05-01' As DATE) AND (CAST('2000-05-01' As DATE) + INTERVAL '60 days') AND i_manufact_id In (27, 394, 425, 158) Group By i_item_id, i_item_desc, i_current_price Order By i_item_id Limit 100; | tpcds |
Select STDDEV_SAMP(ss_quantity) / Avg(ss_quantity) As store_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) / Avg(sr_return_quantity) As store_returns_quantitycov, Count(ss_quantity) As store_sales_quantitycount, Count(cs_quantity) As catalog_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) As store_returns_quantitystdev, Avg(cs_quantity) As catalog_sales_quantityave, Count(sr_return_quantity) As store_returns_quantitycount, Avg(sr_return_quantity) As store_returns_quantityave, STDDEV_SAMP(cs_quantity) / Avg(cs_quantity) As catalog_sales_quantitycov, Avg(ss_quantity) As store_sales_quantityave, s_state, i_item_id, STDDEV_SAMP(ss_quantity) As store_sales_quantitystdev, i_item_desc 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 In ('2001Q1', '2000Q2', '1999Q3') And d3.d_quarter_name In ('2001Q1', '2000Q2', '1999Q3') And d1.d_quarter_name = '2001Q1' Group By i_item_id, i_item_desc, s_state Order By i_item_id, i_item_desc, s_state Limit 100; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE it.info = 'bottom 10 rank' AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND t.id = mi.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi.movie_id AND it.id = mi.info_type_id AND t.id = mc.movie_id LIMIT 20; | 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_nationkey = n_nationkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND c_custkey = o_custkey AND o_orderdate >= DATE 1 AND l_orderkey = o_orderkey AND l_returnflag = 'R' GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
select avg(ss_sales_price) as agg4, avg(ss_quantity) as agg1, i_item_id, avg(ss_list_price) as agg2, avg(ss_coupon_amt) as agg3 from store_sales INNER JOIN customer_demographics on ss_cdemo_sk = cd_demo_sk INNER JOIN date_dim on ss_sold_date_sk = d_date_sk INNER JOIN item on ss_item_sk = i_item_sk INNER JOIN promotion on ss_promo_sk = p_promo_sk where cd_gender = 'M' and cd_marital_status = 'D' and cd_education_status = 'Primary' and (p_channel_email = 'N' or p_channel_event = 'N') and d_year = 2001 group by i_item_id order by i_item_id limit 100; | tpcds |
SELECT s_address, s_name, n_name, s_comment, s_phone, p_partkey, p_mfgr, s_acctbal FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_size = 1 AND p_type LIKE 1 AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND r_name = 1 AND s_suppkey = ps_suppkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
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 d_year = 2001 And d_moy = 11 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) ) 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 cntrycode, count(*) as numcust, sum(c_acctbal) as totacctbal from ( select SUBSTRING(c_phone from 1 FOR 2) as cntrycode, c_acctbal from customer where SUBSTRING(c_phone from 1 FOR 2) in (1, 1, 1, 1, 1, 1, 1) and not exists ( select * from orders where o_custkey = c_custkey ) ) as custsale and c_acctbal > ( select avg(c_acctbal) from customer where c_acctbal > 0.00 and SUBSTRING(c_phone from 1 FOR 2) in (1, 1, 1, 1, 1, 1, 1) ) group by cntrycode order by cntrycode LIMIT 500; | tpch |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE it.id = miidx.info_type_id AND it2.info = 'release dates' AND cn.id = mc.company_id AND mc.movie_id = t.id AND mi.movie_id = miidx.movie_id AND mi.movie_id = t.id AND it.info = 'rating' AND mi.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND miidx.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND kt.kind = 'movie' AND ct.kind = 'production companies' AND kt.id = t.kind_id AND cn.country_code = '[de]' AND miidx.movie_id = t.id | job |
SELECT p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_brand, p_type 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 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_shipdate < l_commitdate AND l_commitdate < l_receiptdate AND o_orderkey = l_orderkey AND l_receiptdate >= DATE 1 Group By l_shipmode Order By l_shipmode | tpch |
SELECT c_custkey, c_comment, c_phone, n_name, c_address, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_name, c_acctbal FROM customer, orders, lineitem, nation WHERE o_orderdate < DATE 1 + INTERVAL '3' MONTH AND o_orderdate >= DATE 1 AND l_orderkey = o_orderkey AND c_custkey = o_custkey AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT ss_ticket_number, c_last_name, c_salutation, c_preferred_cust_flag, c_first_name, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(1) AS cnt FROM store_sales INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.85 AND d_year IN (2001, 2000, 2002) AND s_county IN ('Williamson County', 'Barrow County', 'Placer County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn INNER 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 total_revenue, s_name, s_address, s_suppkey, s_phone FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) ORDER BY s_suppkey | tpch |
SELECT AVG(l_quantity) AS avg_qty, SUM(l_extendedprice) AS sum_base_price, AVG(l_discount) AS avg_disc, l_linestatus, AVG(l_extendedprice) AS avg_price, SUM(l_quantity) AS sum_qty, l_returnflag, COUNT(DISTINCT l_returnflag) AS count_order, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
Select a.ca_state As state, COUNT(DISTINCT a.ca_state) As cnt From customer_address As a Join customer As c On a.ca_address_sk = c.c_current_addr_sk Join store_sales As s On c.c_customer_sk = s.ss_customer_sk Join date_dim As d On s.ss_sold_date_sk = d.d_date_sk Join item As i On s.ss_item_sk = i.i_item_sk Where d.d_month_seq = ( Select Distinct d_month_seq From date_dim Where d_year = 2001 And d_moy = 6 ) And i.i_current_price > 1.2 * ( Select Avg(j.i_current_price) From item As j Where j.i_category = i.i_category ) Group By a.ca_state Having Count(*) >= 10 Order By cnt, state Limit 100; | tpcds |
Select item.i_brand As brand, Sum(ss_ext_sales_price) As sum_agg, item.i_brand_id As brand_id, dt.d_year From date_dim As dt Join store_sales On dt.d_date_sk = store_sales.ss_sold_date_sk Join item On store_sales.ss_item_sk = item.i_item_sk Where dt.d_moy = 12 And item.i_manufact_id = 599 Group By dt.d_year, item.i_brand, item.i_brand_id Order By dt.d_year, sum_agg Desc, brand_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 ct.id = mc.company_type_id AND rt.id = ci.role_id AND t.production_year > 2005 AND t.id = mc.movie_id AND ci.note LIKE '%(voice)%' AND rt.role = 'actor' AND ci.note LIKE '%(uncredited)%' AND ci.movie_id = mc.movie_id AND cn.country_code = '[ru]' AND cn.id = mc.company_id AND t.id = ci.movie_id AND chn.id = ci.person_role_id | job |
SELECT SUM(l_extendedprice) AS sum_base_price, l_linestatus, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_extendedprice) AS avg_price, COUNT(*) AS count_order, l_returnflag, AVG(l_discount) AS avg_disc 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_linestatus, AVG(l_discount) AS avg_disc, SUM(l_extendedprice) AS sum_base_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_quantity) AS avg_qty, AVG(l_extendedprice) AS avg_price, SUM(l_quantity) AS sum_qty, l_returnflag, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, COUNT(*) AS count_order FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword LIKE '%sequel%' AND t.id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.production_year > 2010 AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_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 i_category = 'Jewelry' AND d_moy = 8 ) AS all_sales AND ca_gmt_offset = -5 AND s_gmt_offset = -5 AND d_year = 2001 AND d_moy = 8 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -5 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND i_category = 'Jewelry' AND s_gmt_offset = -5 AND d_year = 2001 ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT c_phone, c_custkey, c_name, c_address, c_comment, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT ss_ticket_number, c_last_name, extended_price, list_price, bought_city, ca_city, c_first_name, extended_tax 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 MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mi.movie_id AND t.production_year > 2005 AND t.id = mk.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND k.keyword LIKE '%sequel%' LIMIT 50; | 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 ml.movie_id = mk.movie_id AND t.id = ml.movie_id AND it.info = 'release dates' AND mi.note LIKE '%internet%' AND it.id = mi.info_type_id AND mi.info LIKE 'USA:% 199%' AND mi.movie_id = t.id AND ml.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND k.id = mk.keyword_id AND t.production_year > 1950 AND lt.link LIKE '%follow%' AND cn.country_code = '[us]' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.note LIKE '%(USA)%' AND cn.id = mc.company_id AND ml.movie_id = mc.movie_id AND k.keyword = ANY(ARRAY['sequel', 'revenge', 'based-on-novel']) AND t.id = mk.movie_id AND lt.id = ml.link_type_id AND mk.movie_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 cn.country_code = '[us]' AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND t.id = ml.movie_id AND k.id = mk.keyword_id AND t.id = mc.movie_id AND lt.id = ml.link_type_id AND mc.note LIKE '%(USA)%' AND t.id = mk.movie_id AND ml.movie_id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mi.note LIKE '%internet%' AND it.info = 'release dates' AND ct.id = mc.company_type_id AND it.id = mi.info_type_id AND t.production_year > 1950 AND lt.link LIKE '%follow%' AND cn.id = mc.company_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mi.info LIKE 'USA:% 199%' | job |
select STDDEV_SAMP(sr_return_quantity) as store_returns_quantitystdev, avg(cs_quantity) as catalog_sales_quantityave, count(cs_quantity) as catalog_sales_quantitycount, i_item_desc, i_item_id, avg(ss_quantity) as store_sales_quantityave, STDDEV_SAMP(ss_quantity) / avg(ss_quantity) as store_sales_quantitycov, STDDEV_SAMP(ss_quantity) as store_sales_quantitystdev, count(ss_quantity) as store_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) / avg(sr_return_quantity) as store_returns_quantitycov, count(sr_return_quantity) as store_returns_quantitycount, s_state, STDDEV_SAMP(cs_quantity) / avg(cs_quantity) as catalog_sales_quantitycov, avg(sr_return_quantity) as store_returns_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 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.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND t.production_year > 2010 AND t.id = ci.movie_id AND t.id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND n.name LIKE '%Downey%Robert%' | job |
SELECT c_custkey, c_comment, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_name, c_acctbal, c_phone, n_name, c_address FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND t.id = ci.movie_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND n.id = ci.person_id AND n.name LIKE '%Hemsworth%Chris%' | job |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE it.info = 'bottom 10 rank' AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi.movie_id AND t.id = mc.movie_id AND ct.kind = 'production companies' | 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 ct.kind = 'production companies' AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi_idx.movie_id AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.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 ci.movie_id = t.id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND an.person_id = ci.person_id AND t.episode_nr < 100 AND t.id = mk.movie_id AND t.id = mc.movie_id AND mc.movie_id = mk.movie_id AND k.keyword = 'character-name-In-title' AND t.episode_nr >= 50 AND ci.movie_id = mc.movie_id AND an.person_id = n.id AND mk.keyword_id = k.id AND cn.country_code = '[us]' AND mc.company_id = cn.id | 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 catalog_sales ON cs_item_sk = i_item_sk WHERE inv_quantity_on_hand BETWEEN 100 AND 500 AND i_current_price >= 100 AND i_current_price <= 100 + 30 AND d_date BETWEEN CAST('2000-05-01' AS DATE) AND (CAST('2000-05-01' AS DATE) + INTERVAL '60 days') AND i_manufact_id IN (195, 412, 338, 267) GROUP BY i_item_id, i_item_desc, i_current_price ORDER BY i_item_id; | tpcds |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE ps_suppkey = l_suppkey AND ps_partkey = l_partkey AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND s_nationkey = n_nationkey AND o_orderkey = l_orderkey AND p_name LIKE 1 ) AS profit GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mk.keyword_id = k.id AND mc.movie_id = t.id AND k.keyword ='character-name-in-title' AND cn.country_code ='[sm]' AND cn.id = mc.company_id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id | job |
SELECT STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(cs_quantity) AS catalog_sales_quantityave, i_item_id, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, COUNT(ss_quantity) AS store_sales_quantitycount, COUNT(sr_return_quantity) AS store_returns_quantitycount, i_item_desc, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, s_state, STDDEV_SAMP(ss_quantity) AS store_sales_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 MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.id = ci.movie_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND n.name LIKE '%Downey%Robert%' AND ci.movie_id = mk.movie_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' | 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 ci.movie_id = mc.movie_id AND cn.id = mc.company_id AND t.id = ci.movie_id AND t.production_year > 2005 AND t.id = mc.movie_id AND rt.id = ci.role_id AND rt.role = 'actor' AND ci.note LIKE '%(voice)%' AND ci.note LIKE '%(uncredited)%' AND cn.country_code = '[ru]' AND chn.id = ci.person_role_id AND ct.id = mc.company_type_id | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = t.id AND mk.keyword_id = k.id AND k.keyword ='character-name-IN-title' AND cn.country_code ='[nl]' AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND t.id = mk.movie_id | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND o_orderkey = l1.l_orderkey 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 o_orderstatus = 'F' AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND s_suppkey = l1.l_suppkey AND l1.l_receiptdate > l1.l_commitdate GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_comment FROM customer, orders, lineitem, nation WHERE l_returnflag = 'R' AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND c_custkey = o_custkey AND o_orderdate >= DATE 1 AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE o_orderdate >= DATE 1 AND n_regionkey = r_regionkey AND c_nationkey = s_nationkey AND l_orderkey = o_orderkey AND r_name = 1 AND s_nationkey = n_nationkey AND c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND l_suppkey = s_suppkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE ci.movie_id = mk.movie_id AND n.name LIKE '%Downey%Robert%' AND t.id = ci.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND n.id = ci.person_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id | job |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE t.id = mi_idx.movie_id AND mi_idx.info < '7.0' AND kt.id = t.kind_id AND it1.info = 'countries' AND t.id = mi.movie_id AND ct.id = mc.company_type_id AND k.id = mk.keyword_id AND mc.movie_id = mi_idx.movie_id AND it1.id = mi.info_type_id AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND it2.info = 'rating' AND mi.movie_id = mi_idx.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND kt.kind IN ('movie', 'episode') AND mk.movie_id = mi.movie_id AND t.production_year > 2008 AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND t.id = mc.movie_id AND it2.id = mi_idx.info_type_id AND cn.id = mc.company_id AND mc.note LIKE '%(200%)%' AND t.id = mk.movie_id AND cn.country_code != '[us]' | job |
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 d_year = 2002 AND (p_channel_email = 'N' Or p_channel_event = 'N') AND cd_marital_status = 'S' AND cd_gender = 'M' AND cd_education_status = 'Advanced Degree' Group By i_item_id Order By i_item_id Limit 100; | tpcds |
SELECT SUM(sr_return_quantity) AS store_returns_quantity, s_store_name, s_store_id, i_item_desc, SUM(cs_quantity) AS catalog_sales_quantity, SUM(ss_quantity) AS store_sales_quantity, i_item_id FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_moy = 3 AND d1.d_year = 2001 AND d2.d_moy BETWEEN 3 AND 3 + 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 3 AND 3 + 3 AND d3.d_year = 2001 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT MIN(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 t.id = ci.movie_id AND mi.movie_id = mc.movie_id AND n.id = ci.person_id AND ci.person_id = an.person_id AND it.info = 'release dates' AND ci.movie_id = mc.movie_id AND t.production_year > 2000 AND mi.movie_id = ci.movie_id AND cn.country_code = '[us]' AND n.gender = 'f' AND it.id = mi.info_type_id AND rt.role = 'actress' AND ci.role_id = rt.id AND cn.id = mc.company_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = mi.movie_id AND chn.id = ci.person_role_id AND t.id = mc.movie_id AND mc.note LIKE '%(USA)%' AND an.person_id = n.id | job |
SELECT AVG(ss_quantity), SUM(ss_ext_wholesale_cost), AVG(ss_ext_sales_price), AVG(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 s_market_id = 10 AND d_year = 2002 AND ca_state IN ('OH', 'GA', 'NY') AND ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 78 AND 126) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 69 AND 117) OR (cd_marital_status = 'D' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 147 AND 164) ) AND ( (hd_dep_count = 3 AND hd_vehicle_count <= 3) OR (hd_dep_count = 2 AND hd_vehicle_count <= 2) OR (hd_dep_count = 4 AND hd_vehicle_count <= 5) ) AND ca_country = 'United States' | tpcds |
SELECT AVG(ss_quantity), SUM(ss_ext_wholesale_cost), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost) FROM store_sales INNER JOIN store ON s_store_sk = ss_store_sk INNER JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk INNER JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk INNER JOIN customer_address ON ca_address_sk = ss_addr_sk INNER JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ( (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 ( (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) ) AND ca_state IN ('TX', 'GA', 'FL') AND ca_country = 'United States' AND d_year = 2001 AND s_market_id = 8 | tpcds |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE d_moy = 8 ) AS all_sales AND ca_gmt_offset = -7 AND i_category = 'Music' AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -7 AND s_gmt_offset = -7 AND d_year = 1998 AND i_category = 'Music' AND d_year = 1998 AND d_moy = 8 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -7 ORDER BY promotions, total 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 = '>10000' Or hd_buy_potential = 'Unknown') AND (d_dom BETWEEN 1 AND 3 Or d_dom BETWEEN 25 AND 28) AND s_county = ANY(ARRAY['Bronz County', 'Daviess County', 'Maricopa County']) AND hd_vehicle_count > 0 AND (Case When hd_vehicle_count > 0 Then hd_dep_count / hd_vehicle_count Else NULL End) > 1.79 AND d_year In (2000, 2002, 2003) Group By ss_ticket_number, ss_customer_sk ) As dn Join customer On ss_customer_sk = c_customer_sk Where cnt Between 15 And 20 Order By c_last_name, c_first_name, c_salutation, cnt Desc Limit 100; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE it.id = mi.info_type_id AND t.id = mi.movie_id AND mc.movie_id = mi.movie_id AND it.info = 'bottom 10 rank' AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id | job |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it2.id = mi_idx.info_type_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mc.note LIKE '%(200%)%' AND t.id = mi_idx.movie_id AND cn.country_code != '[us]' AND ct.id = mc.company_type_id AND it1.info = 'countries' AND k.id = mk.keyword_id AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.production_year > 2008 AND it1.id = mi.info_type_id AND mi_idx.info < '7.0' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND kt.id = t.kind_id AND it2.info = 'rating' AND cn.id = mc.company_id AND t.id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-IN-title', 'blood', 'violence') AND t.id = mc.movie_id AND kt.kind IN ('movie', 'episode') | 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 cn.country_code = '[jp]' AND an1.person_id = n1.id AND n1.name NOT LIKE '%Yu%' AND ci.note = '(voice: English version)' AND rt.role = 'actress' AND mc.note LIKE '%(Japan)%' AND mc.company_id = cn.id AND ci.role_id = rt.id AND n1.id = ci.person_id AND an1.person_id = ci.person_id AND ci.movie_id = t.id AND mc.note NOT LIKE '%(USA)%' AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND n1.name LIKE '%Yo%' | job |
select total_revenue, s_name, s_suppkey, s_phone, s_address from supplier, revenue0 where s_suppkey = supplier_no and total_revenue = ( select max(total_revenue) from revenue0 ) order by s_suppkey | tpch |
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