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SELECT o_totalprice, SUM(l_quantity), c_name, o_orderkey, c_custkey, o_orderdate FROM customer, orders, lineitem WHERE o_orderkey IN ( SELECT l_orderkey FROM lineitem GROUP BY l_orderkey HAVING SUM(l_quantity) > 1 ) AND c_custkey = o_custkey AND o_orderkey = l_orderkey GROUP BY c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice ORDER BY o_totalprice DESC, o_orderdate; | tpch |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE n1.id = ci.person_id AND rt.role = 'actress' AND cn.country_code = '[jp]' AND mc.company_id = cn.id AND ci.movie_id = t.id AND an1.person_id = ci.person_id AND n1.name LIKE '%Yo%' AND ci.movie_id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND an1.person_id = n1.id AND ci.note = '(voice: English version)' AND ci.role_id = rt.id AND mc.note NOT LIKE '%(USA)%' AND n1.name NOT LIKE '%Yu%' AND t.id = mc.movie_id | job |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE t.id = mi.movie_id AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'bottom 10 rank' AND it.id = mi.info_type_id AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND mc.movie_id = mi.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 t.id = mi.movie_id AND k.keyword like '%sequel%' AND t.id = mk.movie_id AND mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND mk.movie_id = mi.movie_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 t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND n.name Like '%Downey%Robert%' AND t.id = mk.movie_id AND n.id = ci.person_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' | job |
SELECT cc_call_center_id AS call_center, cc_manager AS manager, cc_name AS call_center_name, 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_moy = 12 AND ca_gmt_offset = -6 AND ( (cd_marital_status = 'S' AND cd_education_status = '4 yr Degree') OR (hd_buy_potential LIKE '1001-5000%' AND ca_gmt_offset = -6) ) AND d_year = 1999 GROUP BY cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status ORDER BY returns_loss DESC LIMIT 100; | tpcds |
WITH year_total AS ( SELECT d_year AS dyear, c_login AS customer_login, 's' AS sale_type, c_first_name AS customer_first_name, c_email_address AS customer_email_address, c_birth_country AS customer_birth_country, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_customer_id AS customer_id, c_last_name AS customer_last_name, c_preferred_cust_flag AS customer_preferred_cust_flag 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 LIMIT 100; | tpcds |
Select o_year, Sum( Case When nation = 1 Then volume Else 0 End ) / Sum(volume) As mkt_share From ( Select EXTRACT(YEAR From o_orderdate) As o_year, l_extendedprice * (1 - l_discount) As volume, n2.n_name As nation From part, supplier, lineitem, orders, customer, nation n1, nation n2, region Where o_custkey = c_custkey AND c_nationkey = n1.n_nationkey AND r_name = 1 AND p_type = 1 ) As all_nations AND n1.n_regionkey = r_regionkey AND s_suppkey = l_suppkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_nationkey = n2.n_nationkey AND l_orderkey = o_orderkey AND p_partkey = l_partkey Group By o_year Order By o_year | tpch |
SELECT AVG(cs_list_price) AS agg2, AVG(cs_coupon_amt) AS agg3, AVG(cs_sales_price) AS agg4, i_item_id, 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 d_year = 1999 AND cd_marital_status = 'S' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'F' AND cd_education_status = 'Advanced Degree' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT COUNT(*) AS count_order, AVG(l_quantity) AS avg_qty, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_extendedprice) AS sum_base_price, AVG(l_extendedprice) AS avg_price, AVG(l_discount) AS avg_disc, l_returnflag, l_linestatus, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_shipdate < l_commitdate AND l_receiptdate >= DATE 1 AND l_shipmode IN (1, 1) AND l_commitdate < l_receiptdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND o_orderkey = l_orderkey GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
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 = 12 ) AS all_sales AND s_gmt_offset = -6 AND ca_gmt_offset = -6 AND d_year = 2002 AND d_year = 2002 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_moy = 12 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -6 AND i_category = 'Jewelry' AND i_category = 'Jewelry' AND s_gmt_offset = -6 ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND p_type LIKE 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_partkey = ps_partkey AND p_size = 1 AND s_suppkey = ps_suppkey AND r_name = 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE lt.id = ml.link_type_id AND it.id = pi.info_type_id AND n.id = an.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.person_id = an.person_id AND an.name LIKE '%a%' AND lt.link = 'features' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND t.production_year BETWEEN 1980 AND 1995 AND ci.person_id = n.id AND pi.note = 'Volker Boehm' AND pi.person_id = ci.person_id AND ml.linked_movie_id = t.id AND ci.movie_id = ml.linked_movie_id AND n.id = pi.person_id AND t.id = ci.movie_id AND it.info = 'mini biography' AND an.person_id = ci.person_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 mi_idx.info > '7.0' and it.info ='rating' and t.id = mi_idx.movie_id and t.production_year >= 2000 and t.production_year <= 2010 and it.id = mi_idx.info_type_id limit 200; | 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 d_year IN (2000, 2002, 2001) AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.57 AND hd_vehicle_count > 0 AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND s_county IN ('Franklin County', 'Daviess County', 'Jackson County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
Select Min(t.title) As movie_title, Min(mi_idx.info) As rating From info_type As it, movie_info_idx As mi_idx, title As t Where t.production_year BETWEEN 2000 AND 2010 AND it.info ='rating' AND it.id = mi_idx.info_type_id AND mi_idx.info > '7.0' AND t.id = mi_idx.movie_id | job |
SELECT s_store_name, i_item_id, i_item_desc, s_store_id, SUM(sr_return_quantity) AS store_returns_quantity, SUM(cs_quantity) AS catalog_sales_quantity, SUM(ss_quantity) AS store_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 = 2 AND d1.d_year = 2001 AND d2.d_moy BETWEEN 2 AND 2 + 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 2 AND 2 + 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 |
WITH _q AS ( select count(*) from comments as c, postHistory as ph, votes as v, users as u where u.Views >= 0 AND ph.UserId = c.UserId AND v.UserId = ph.UserId AND u.DownVotes >= 0 ) SELECT * FROM _q AND u.Id = v.UserId AND u.UpVotes <= 123 | stats |
WITH year_total AS ( SELECT c_login AS customer_login, c_birth_country AS customer_birth_country, 's' AS sale_type, c_email_address AS customer_email_address, d_year AS dyear, c_last_name AS customer_last_name, c_preferred_cust_flag AS customer_preferred_cust_flag, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_customer_id AS customer_id, c_first_name AS customer_first_name 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 LIMIT 100; | tpcds |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE k.keyword ='character-name-IN-title' AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND cn.country_code ='[nl]' LIMIT 50; | job |
select extended_price, ca_city, c_first_name, c_last_name, extended_tax, bought_city, list_price, ss_ticket_number 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 Count(*) From comments As c, postHistory As ph, badges As b, votes As v, users As u Where ph.PostHistoryTypeId = 12 And u.Id = b.UserId And ph.UserId = v.UserId And u.UpVotes = 0 And v.UserId = c.UserId And b.UserId = ph.UserId Limit 200; | stats |
SELECT s_store_id, s_store_name, SUM(ss_quantity) AS store_sales_quantity, i_item_desc, SUM(sr_return_quantity) AS store_returns_quantity, i_item_id, SUM(cs_quantity) AS catalog_sales_quantity FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d3.d_moy BETWEEN 3 AND 3 + 3 AND d2.d_year = 2001 AND d1.d_moy = 3 AND d3.d_year = 2001 AND d1.d_year = 2001 AND d2.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 COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = pl.PostId AND p.Id = v.PostId AND c.Score = 0 AND p.FavoriteCount >= 0 AND p.Id = c.PostId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 LIMIT 50; | 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 ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND k.id = mk.keyword_id AND cn.id = mc.company_id AND it.info = 'release dates' AND t.production_year > 1950 AND ml.movie_id = mi.movie_id AND ml.movie_id = mk.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND ct.id = mc.company_type_id AND t.id = ml.movie_id AND t.id = mk.movie_id AND cn.country_code = '[us]' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND lt.link LIKE '%follow%' AND lt.id = ml.link_type_id 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 t.id = mc.movie_id | job |
SELECT SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, l_shipmode, 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 AND 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_commitdate < l_receiptdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE pi.note = 'Volker Boehm' AND ci.person_id = n.id AND n.id = pi.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND n.id = an.person_id AND t.id = ci.movie_id AND it.id = pi.info_type_id AND lt.id = ml.link_type_id AND ci.movie_id = ml.linked_movie_id AND t.production_year BETWEEN 1980 AND 1995 AND pi.person_id = ci.person_id AND an.name LIKE '%a%' AND ml.linked_movie_id = t.id AND an.person_id = ci.person_id AND pi.person_id = an.person_id AND lt.link = 'features' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND it.info = 'mini biography' | job |
SELECT p_brand, p_type, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_size FROM partsupp, part WHERE p_partkey = ps_partkey AND p_brand <> 1 AND p_type NOT LIKE 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 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) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt ASC, p_brand, p_type, p_size | 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 t.production_year > 2000 AND it.id = mi.info_type_id AND mi.movie_id = ci.movie_id AND n.gender = 'f' AND it.info = 'release dates' AND t.id = mc.movie_id AND mc.note LIKE '%(USA)%' AND chn.id = ci.person_role_id AND mi.movie_id = mc.movie_id AND an.person_id = n.id AND cn.id = mc.company_id AND cn.country_code = '[us]' AND rt.role = 'actress' AND n.id = ci.person_id AND ci.movie_id = mc.movie_id AND t.id = mi.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.person_id = an.person_id AND ci.role_id = rt.id | job |
with year_total as ( select c_birth_country as customer_birth_country, c_login as customer_login, d_year as dyear, c_email_address as customer_email_address, c_customer_id as customer_id, 's' as sale_type, c_preferred_cust_flag as customer_preferred_cust_flag, c_last_name as customer_last_name, c_first_name as customer_first_name, 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 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 mk.movie_id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND it2.id = mi_idx.info_type_id AND mi.movie_id = mi_idx.movie_id AND mc.note LIKE '%(200%)%' AND cn.country_code != '[us]' AND ct.id = mc.company_type_id AND t.id = mi.movie_id AND it1.id = mi.info_type_id AND k.keyword IN ('murder', 'murder-IN-title', 'blood', 'violence') AND it2.info = 'rating' AND t.id = mc.movie_id AND kt.kind IN ('movie', 'episode') AND k.id = mk.keyword_id AND t.id = mi_idx.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.production_year > 2008 AND mk.movie_id = mc.movie_id AND it1.info = 'countries' AND mc.movie_id = mi_idx.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mi_idx.info < '7.0' AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND kt.id = t.kind_id AND t.id = mk.movie_id | job |
SELECT i_item_id, s_store_id, SUM(ss_quantity) AS store_sales_quantity, s_store_name, SUM(sr_return_quantity) AS store_returns_quantity, i_item_desc, 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 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 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 s_nationkey = n_nationkey AND ps_partkey = l_partkey AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND ps_suppkey = l_suppkey AND o_orderkey = l_orderkey GROUP BY nation, o_year ORDER BY nation, o_year DESC LIMIT 100; | tpch |
SELECT AVG(ss_quantity), AVG(ss_ext_wholesale_cost), AVG(ss_ext_sales_price), 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 d_year = 1999 AND s_market_id = 4 AND ca_state IN ('TX', 'WA', 'FL') AND ca_country = 'United States' AND ( (hd_dep_count = 0 AND hd_vehicle_count <= 1) OR (hd_dep_count = 3 AND hd_vehicle_count <= 4) OR (hd_dep_count = 6 AND hd_vehicle_count <= 4) ) AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price BETWEEN 83 AND 135) OR (cd_marital_status = 'S' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 84 AND 125) OR (cd_marital_status = 'D' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 126 AND 196) ) | tpcds |
Select Min(mi_idx.info) As rating, Min(t.title) As northamerican_movie From aka_title As at, company_name As cn, info_type As it1, info_type As it2, kind_type As kt, movie_companies As mc, movie_info As mi, movie_info_idx As mi_idx, title As t Where mi.movie_id = mi_idx.movie_id AND at.movie_id = mi_idx.movie_id AND cn.id = mc.company_id AND mi_idx.info < '3.5' AND it2.id = mi.info_type_id AND it2.info = 'release dates' AND it1.id = mi_idx.info_type_id AND t.id = mi.movie_id AND mi_idx.movie_id = mc.movie_id AND kt.id = t.kind_id AND t.id = mi_idx.movie_id AND cn.country_code = '[us]' AND kt.kind = 'movie' AND t.production_year > 2000 AND mi.info Like 'USA:%200%' AND at.title Like '%Champion%' AND at.movie_id = mi.movie_id AND t.id = at.movie_id AND t.id = mc.movie_id AND at.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND it1.info = 'rating' | job |
WITH year_total AS ( SELECT 's' AS sale_type, c_last_name AS customer_last_name, c_customer_id AS customer_id, c_birth_country AS customer_birth_country, d_year AS dyear, c_preferred_cust_flag AS customer_preferred_cust_flag, c_first_name AS customer_first_name, c_email_address AS customer_email_address, c_login AS customer_login, 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 2000 AND 2000 + 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 = 2000 AND t_s_secyear.dyear = 2000 + 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 LIMIT 100; | tpcds |
SELECT AVG(cs_sales_price) AS agg4, AVG(cs_coupon_amt) AS agg3, i_item_id, AVG(cs_quantity) AS agg1, AVG(cs_list_price) AS agg2 FROM catalog_sales JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk JOIN item ON cs_item_sk = i_item_sk JOIN promotion ON cs_promo_sk = p_promo_sk WHERE cd_marital_status = 'S' AND cd_gender = 'M' AND d_year = 2000 AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = '4 yr Degree' GROUP BY i_item_id ORDER BY i_item_id; | tpcds |
SELECT total, promotions, 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 = 'Electronics' AND i_category = 'Electronics' AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -7 AND d_year = 1998 AND d_moy = 9 ) AS all_sales AND s_gmt_offset = -7 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 d_year = 1998 ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE o_orderstatus = 'F' AND s_suppkey = l1.l_suppkey 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_orderkey = l1.l_orderkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND s_nationkey = n_nationkey AND l1.l_receiptdate > l1.l_commitdate AND n_name = 1 GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE rt.role = 'actress' AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.note = '(voice: English version)' AND mc.note LIKE '%(Japan)%' AND mc.note NOT LIKE '%(USA)%' AND ci.role_id = rt.id AND ci.movie_id = mc.movie_id AND n1.name NOT LIKE '%Yu%' AND an1.person_id = ci.person_id AND an1.person_id = n1.id AND mc.company_id = cn.id AND n1.name LIKE '%Yo%' AND cn.country_code = '[jp]' AND n1.id = ci.person_id | job |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE chn.id = ci.person_role_id AND mi.movie_id = mc.movie_id AND it.id = mi.info_type_id AND cn.country_code = '[us]' AND an.person_id = n.id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = ci.movie_id AND t.production_year > 2000 AND n.gender = 'f' AND t.id = mi.movie_id AND ci.role_id = rt.id AND cn.id = mc.company_id AND it.info = 'release dates' AND ci.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND mi.movie_id = ci.movie_id AND ci.person_id = an.person_id AND t.id = mc.movie_id AND rt.role = 'actress' AND n.id = ci.person_id | job |
SELECT i_brand AS brand, i_manufact, i_brand_id AS brand_id, SUM(ss_ext_sales_price) AS ext_price, i_manufact_id FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND i_manager_id = 73 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 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 k.keyword ='character-name-In-title' And t.id = mk.movie_id And mc.movie_id = t.id And cn.id = mc.company_id And mk.keyword_id = k.id And mc.movie_id = mk.movie_id | job |
select l_orderkey, sum(l_extendedprice * (1 - l_discount)) as revenue, o_orderdate, o_shippriority from customer, orders, lineitem where l_orderkey = o_orderkey and l_shipdate > DATE 1 and o_orderdate < DATE 1 and c_mktsegment = 1 and c_custkey = o_custkey 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.id = mc.company_id AND mc.movie_id = t.id AND mk.keyword_id = k.id AND cn.country_code ='[sm]' AND t.id = mk.movie_id AND k.keyword ='character-name-IN-title' AND mc.movie_id = mk.movie_id | job |
WITH _q AS ( SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE it.id = pi.info_type_id AND lt.link = 'features' AND pi.note = 'Volker Boehm' AND t.id = ci.movie_id AND lt.id = ml.link_type_id AND ci.person_id = n.id AND t.production_year BETWEEN 1980 AND 1995 AND an.person_id = ci.person_id AND an.name LIKE '%a%' AND ml.linked_movie_id = t.id AND n.id = an.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND ci.movie_id = ml.linked_movie_id ) SELECT * FROM _q AND pi.person_id = an.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND n.id = pi.person_id AND pi.person_id = ci.person_id AND it.info = 'mini biography' | job |
SELECT SUM(ss_ext_sales_price) AS sum_agg, item.i_brand AS brand, dt.d_year, item.i_brand_id AS brand_id 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 item.i_manufact_id = 691 AND dt.d_moy = 12 GROUP BY dt.d_year, item.i_brand, item.i_brand_id ORDER BY dt.d_year, sum_agg DESC, brand_id; | tpcds |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND ci.movie_id = ml.linked_movie_id AND t.id = ci.movie_id AND pi.person_id = ci.person_id AND lt.link = 'features' AND ml.linked_movie_id = t.id AND an.name LIKE '%a%' AND pi.person_id = an.person_id AND an.person_id = ci.person_id AND ci.person_id = n.id AND pi.note = 'Volker Boehm' AND n.id = an.person_id AND n.id = pi.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND t.production_year BETWEEN 1980 AND 1995 AND it.id = pi.info_type_id AND it.info = 'mini biography' AND lt.id = ml.link_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 = mk.movie_id AND cn.country_code ='[de]' AND cn.id = mc.company_id AND mc.movie_id = t.id AND mk.keyword_id = k.id AND k.keyword ='character-name-IN-title' AND t.id = mk.movie_id | job |
select i_brand_id as brand_id, i_brand as brand, sum(ss_ext_sales_price) as ext_price from date_dim join store_sales on d_date_sk = ss_sold_date_sk join item on ss_item_sk = i_item_sk where i_manager_id = 97 AND d_year = 2000 AND d_moy = 11 group by i_brand, i_brand_id order by ext_price asc, brand_id limit 100; | tpcds |
SELECT s_acctbal, s_address, n_name, s_comment, p_mfgr, s_phone, 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 SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, o_shippriority, l_orderkey FROM customer, orders, lineitem WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND c_mktsegment = 1 AND l_shipdate > DATE 1 AND o_orderdate < DATE 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | tpch |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE n_regionkey = r_regionkey AND p_partkey = ps_partkey AND s_nationkey = n_nationkey AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_size = 1 AND p_type LIKE 1 AND s_suppkey = ps_suppkey AND r_name = 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
WITH year_total AS ( SELECT d_year AS dyear, c_email_address AS customer_email_address, c_last_name AS customer_last_name, c_first_name AS customer_first_name, c_customer_id AS customer_id, c_preferred_cust_flag AS customer_preferred_cust_flag, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_login AS customer_login, c_birth_country AS customer_birth_country, 's' AS sale_type 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 LIMIT 50; | tpcds |
SELECT item.i_brand AS brand, dt.d_year, SUM(ss_ext_sales_price) AS ext_price, item.i_brand_id AS brand_id FROM date_dim AS dt INNER JOIN store_sales ON dt.d_date_sk = store_sales.ss_sold_date_sk INNER JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE dt.d_moy = 11 AND dt.d_year = 2000 AND item.i_manager_id = 69 GROUP BY dt.d_year, item.i_brand, item.i_brand_id ORDER BY dt.d_year, ext_price DESC, brand_id 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 mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mk.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND mk.movie_id = mi.movie_id AND k.keyword LIKE '%sequel%' AND t.id = mi.movie_id LIMIT 200; | job |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_commitdate < l_receiptdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipdate < l_commitdate AND o_orderkey = l_orderkey AND l_shipmode IN (1, 1) AND l_receiptdate >= DATE 1 GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
WITH _q AS ( SELECT COUNT(*) FROM votes AS v, posts AS p, badges AS b, users AS u WHERE u.Id = b.UserId ) SELECT * FROM _q AND p.Score <= 22 AND p.Id = v.PostId AND u.Reputation >= 1 AND u.Id = p.OwnerUserId | stats |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, movie_info_idx AS mi_idx, title AS t WHERE it.id = mi_idx.info_type_id AND t.production_year BETWEEN 2000 AND 2010 AND it.info ='rating' AND mi_idx.info > '7.0' AND t.id = mi_idx.movie_id LIMIT 500; | job |
Select s_name, s_address From supplier, nation Where s_suppkey In ( Select ps_suppkey From partsupp Where ps_partkey In ( Select p_partkey From part Where p_name Like 1 ) And ps_availqty > ( Select 0.5 * Sum(l_quantity) From lineitem Where l_partkey = ps_partkey And l_suppkey = ps_suppkey And l_shipdate >= DATE 1 And l_shipdate < DATE 1 + INTERVAL '1' YEAR ) ) AND n_name = 1 AND s_nationkey = n_nationkey Order By s_name | tpch |
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 = -7 AND ca_gmt_offset = -7 AND d_year = 1998 AND s_gmt_offset = -7 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 d_moy = 9 ) AS all_sales AND i_category = 'Electronics' AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_year = 1998 AND i_category = 'Electronics' ORDER BY promotions, total LIMIT 100; | tpcds |
select max(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 mk.movie_id = mi.movie_id and t.id = mk.movie_id and k.keyword like '%sequel%' and t.production_year > 2005 and t.id = mi.movie_id and mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') | job |
select sum(l_extendedprice * (1 - l_discount)) as sum_disc_price, avg(l_extendedprice) as avg_price, l_linestatus, avg(l_discount) as avg_disc, l_returnflag, avg(l_quantity) as avg_qty, sum(l_extendedprice) as sum_base_price, sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) as sum_charge, sum(l_quantity) as sum_qty, 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 c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt from ( select ss_ticket_number, ss_customer_sk, count(*) as cnt from store_sales join date_dim on ss_sold_date_sk = d_date_sk join store on ss_store_sk = s_store_sk join household_demographics on ss_hdemo_sk = hd_demo_sk where d_dom BETWEEN 1 AND 2 AND d_year in (1999, 2002, 2001) 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 hd_vehicle_count > 0 group by ss_ticket_number, ss_customer_sk ) as dj join customer on ss_customer_sk = c_customer_sk where cnt between 1 and 5 order by cnt desc limit 1000; | tpcds |
SELECT total_revenue, s_name, s_suppkey, s_address, s_phone FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) ORDER BY s_suppkey LIMIT 200; | 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 t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
WITH _q AS ( Select c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt From ( Select ss_ticket_number, ss_customer_sk, Count(*) As cnt From store_sales Join date_dim On ss_sold_date_sk = d_date_sk Join store On ss_store_sk = s_store_sk Join household_demographics On ss_hdemo_sk = hd_demo_sk Where d_dom Between 1 And 2 And (hd_buy_potential = '1001-5000' Or hd_buy_potential = '5001-10000') And hd_vehicle_count > 0 And d_year In (2001, 2000, 2003) And s_county In ('Franklin County', 'Jefferson County', 'Oglethorpe County', 'Maricopa County') Group By ss_ticket_number, ss_customer_sk ) As dj Join customer On ss_customer_sk = c_customer_sk Where cnt Between 1 And 5 Order By cnt Desc Limit 1000 ) SELECT * FROM _q; | 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 ct.id = mc.company_type_id AND miidx.movie_id = mc.movie_id AND it.info = 'rating' AND mi.movie_id = miidx.movie_id AND mi.movie_id = t.id AND mi.movie_id = mc.movie_id AND kt.id = t.kind_id AND it.id = miidx.info_type_id AND kt.kind = 'movie' AND it2.id = mi.info_type_id AND miidx.movie_id = t.id AND cn.country_code = '[de]' AND ct.kind = 'production companies' AND cn.id = mc.company_id AND it2.info = 'release dates' AND mc.movie_id = t.id | job |
SELECT c_last_name, ss_ticket_number, c_salutation, c_first_name, cnt, c_preferred_cust_flag FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(1) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.85 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 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 SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, l_shipmode, 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_shipdate < l_commitdate AND o_orderkey = l_orderkey AND l_receiptdate >= DATE 1 AND l_shipmode IN (1, 1) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE ci.movie_id = mk.movie_id AND n.id = ci.person_id AND t.episode_nr < 100 AND t.id = mk.movie_id AND ci.movie_id = t.id AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND an.person_id = n.id AND t.episode_nr >= 50 AND mc.company_id = cn.id AND k.keyword = 'character-name-in-title' AND an.person_id = ci.person_id AND t.id = mc.movie_id | job |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE r_name = 1 AND ps_supplycost = ( SELECT MAX(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 n_regionkey = r_regionkey AND p_partkey = ps_partkey AND s_nationkey = n_nationkey AND s_suppkey = ps_suppkey AND p_type LIKE 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where t.id = mk.movie_id and t.id = mi.movie_id and k.id = mk.keyword_id and k.keyword like '%sequel%' and mk.movie_id = mi.movie_id and t.production_year > 2000 and mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') | 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 n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND r_name = 1 AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND l_suppkey = s_suppkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR GROUP BY n_name ORDER BY revenue DESC | tpch |
Select c_name, o_totalprice, Sum(l_quantity), o_orderkey, o_orderdate, c_custkey From customer, orders, lineitem Where o_orderkey In ( Select l_orderkey From lineitem Group By l_orderkey Having Sum(l_quantity) > 1 ) And c_custkey = o_custkey And o_orderkey = l_orderkey Group By c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice Order By o_totalprice Desc, o_orderdate Limit 100 | tpch |
SELECT MIN(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 it.info = 'bottom 10 rank' AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi.movie_id AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND t.id = mi.movie_id | job |
SELECT i_manufact, i_brand_id AS brand_id, SUM(ss_ext_sales_price) AS ext_price, i_manufact_id, i_brand AS brand FROM date_dim 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 i_manager_id = 3 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 |
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 mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND an.person_id = n.id AND ci.person_id = an.person_id AND t.production_year > 2000 AND mc.note LIKE '%(USA)%' AND chn.id = ci.person_role_id AND ci.movie_id = mc.movie_id AND t.id = ci.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = mi.movie_id AND n.gender = 'f' AND rt.role = 'actress' AND n.id = ci.person_id AND t.id = mc.movie_id AND it.id = mi.info_type_id AND ci.role_id = rt.id AND mi.movie_id = mc.movie_id AND it.info = 'release dates' AND cn.country_code = '[us]' | 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 ci.movie_id = mk.movie_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND t.id = ci.movie_id AND n.name LIKE '%Downey%Robert%' AND t.id = mk.movie_id AND t.production_year > 2010 | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND ct.kind = 'production companies' AND t.id = mc.movie_id AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE it2.info = 'release dates' AND at.title LIKE '%Champion%' AND mi.movie_id = mi_idx.movie_id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND t.id = mi.movie_id AND kt.kind = 'movie' AND mi_idx.movie_id = mc.movie_id AND t.id = mc.movie_id AND mi.movie_id = mc.movie_id AND cn.country_code = '[us]' AND at.movie_id = mc.movie_id AND t.production_year > 2000 AND mi_idx.info < '3.5' AND mi.info LIKE 'USA:%200%' AND at.movie_id = mi.movie_id AND at.movie_id = mi_idx.movie_id AND it1.info = 'rating' AND t.id = mi_idx.movie_id AND t.id = at.movie_id AND it1.id = mi_idx.info_type_id AND cn.id = mc.company_id | job |
SELECT AVG(sr_return_quantity) AS store_returns_quantityave, i_item_desc, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(sr_return_quantity) AS store_returns_quantitycount, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, i_item_id, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, s_state, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '1999Q1' AND d2.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') AND d3.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
Select Min(an1.name) As actress_pseudonym, Min(t.title) As japanese_movie_dubbed From aka_name As an1, cast_info As ci, company_name As cn, movie_companies As mc, name As n1, role_type As rt, title As t Where mc.note Not Like '%(USA)%' AND cn.country_code = '[jp]' AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.note = '(voice: English version)' AND n1.name Like '%Yo%' AND n1.id = ci.person_id AND t.id = mc.movie_id AND ci.role_id = rt.id AND an1.person_id = n1.id AND an1.person_id = ci.person_id AND rt.role = 'actress' AND ci.movie_id = t.id AND n1.name Not Like '%Yu%' AND mc.note Like '%(Japan)%' LIMIT 10; | job |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE o_orderdate < DATE 1 + INTERVAL '1' YEAR AND c_custkey = o_custkey AND r_name = 1 AND s_nationkey = n_nationkey AND c_nationkey = s_nationkey AND l_suppkey = s_suppkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND n_regionkey = r_regionkey GROUP BY n_name ORDER BY revenue DESC LIMIT 1000; | 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 k.keyword = 'marvel-cinematic-universe' AND n.name LIKE '%Downey%Robert%' AND t.id = mk.movie_id AND k.id = mk.keyword_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND t.production_year > 2010 AND n.id = ci.person_id | job |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE c.UserId = u.Id AND p.Id = c.PostId AND p.Id = v.PostId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 AND p.Id = pl.RelatedPostId AND b.UserId = u.Id AND p.Score <= 40 | stats |
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.production_year BETWEEN 2000 AND 2010 AND it.info ='rating' AND t.id = mi_idx.movie_id AND mi_idx.info > '7.0' AND it.id = mi_idx.info_type_id LIMIT 100; | job |
SELECT MAX(ss_net_profit) AS store_sales_profit, MAX(sr_net_loss) AS store_returns_loss, MAX(cs_net_profit) AS catalog_sales_profit, i_item_id, i_item_desc, s_store_id, s_store_name FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d3.d_year = 2002 AND d1.d_year = 2002 AND d2.d_year = 2002 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d1.d_moy BETWEEN 5 AND 5 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(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 = mi.movie_id AND ci.role_id = rt.id AND an.person_id = n.id AND mi.movie_id = mc.movie_id AND t.production_year > 2000 AND it.id = mi.info_type_id AND chn.id = ci.person_role_id AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND cn.country_code = '[us]' AND n.id = ci.person_id AND t.id = ci.movie_id AND rt.role = 'actress' AND mc.note Like '%(USA)%' AND cn.id = mc.company_id AND it.info = 'release dates' AND ci.note In ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.person_id = an.person_id AND mi.movie_id = ci.movie_id AND n.gender = 'f' | job |
WITH year_total AS ( SELECT c_customer_id AS customer_id, c_first_name AS customer_first_name, 's' AS sale_type, c_preferred_cust_flag AS customer_preferred_cust_flag, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, d_year AS dyear, c_email_address AS customer_email_address, c_login AS customer_login, c_last_name AS customer_last_name, c_birth_country AS customer_birth_country 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 n_name, c_comment, c_phone, c_acctbal, c_name, c_address, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_custkey FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
Select s_store_id, s_store_name, Sum(ss_quantity) As store_sales_quantity, Sum(cs_quantity) As catalog_sales_quantity, i_item_desc, Sum(sr_return_quantity) As store_returns_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 = 5 And d1.d_year = 2000 And d2.d_moy Between 5 And 5 + 3 And d2.d_year = 2000 And d3.d_moy Between 5 And 5 + 3 And d3.d_year = 2000 Group By i_item_id, i_item_desc, s_store_id, s_store_name Order By i_item_id, i_item_desc, s_store_id, s_store_name Limit 100; | tpcds |
SELECT MIN(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 rt.id = ci.role_id 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 ci.note LIKE '%(uncredited)%' AND rt.role = 'actor' AND t.id = ci.movie_id AND chn.id = ci.person_role_id AND cn.country_code = '[ru]' AND cn.id = mc.company_id AND t.id = mc.movie_id | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND t.id = mc.movie_id AND it.info = 'top 250 rank' AND t.id = mi_idx.movie_id AND 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 | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE it2.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND t.id = mi.movie_id AND mi.info LIKE 'USA:%200%' AND kt.kind = 'movie' AND at.title LIKE '%Champion%' AND at.movie_id = mi.movie_id AND t.id = mi_idx.movie_id AND t.production_year > 2000 AND mi_idx.info < '3.5' AND at.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND mi_idx.movie_id = mc.movie_id AND kt.id = t.kind_id AND mi.movie_id = mi_idx.movie_id AND cn.id = mc.company_id AND it2.info = 'release dates' AND t.id = at.movie_id AND cn.country_code = '[us]' AND t.id = mc.movie_id AND it1.info = 'rating' AND it1.id = mi_idx.info_type_id | job |
SELECT MIN(t.title) AS russian_movie, MIN(chn.name) AS uncredited_voiced_character 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 rt.role = 'actor' AND ct.id = mc.company_type_id AND rt.id = ci.role_id AND ci.note LIKE '%(voice)%' AND t.production_year > 2005 AND t.id = mc.movie_id AND ci.note LIKE '%(uncredited)%' AND chn.id = ci.person_role_id AND t.id = ci.movie_id AND cn.country_code = '[ru]' | job |
SELECT p_brand, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_type, p_size FROM partsupp, part WHERE p_size = ANY(ARRAY[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 AND p_brand <> 1 AND p_partkey = ps_partkey GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
WITH year_total AS ( SELECT d_year AS dyear, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_birth_country AS customer_birth_country, c_customer_id AS customer_id, c_first_name AS customer_first_name, c_last_name AS customer_last_name, c_login AS customer_login, 's' AS sale_type, c_email_address AS customer_email_address, c_preferred_cust_flag AS customer_preferred_cust_flag 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 2000 AND 2000 + 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 = 2000 AND t_s_secyear.dyear = 2000 + 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 LIMIT 100; | tpcds |
SELECT SUM(ss_ext_sales_price) AS ext_price, i_manufact_id, i_brand_id AS brand_id, i_brand AS brand, i_manufact FROM date_dim INNER JOIN store_sales ON d_date_sk = ss_sold_date_sk INNER JOIN item ON ss_item_sk = i_item_sk INNER JOIN customer ON ss_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = ca_address_sk INNER JOIN store ON ss_store_sk = s_store_sk WHERE d_moy = 11 AND d_year = 2002 AND i_manager_id = 77 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) GROUP BY i_brand, i_brand_id, i_manufact_id, i_manufact ORDER BY ext_price DESC, brand, brand_id, i_manufact_id, i_manufact LIMIT 100; | tpcds |
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