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SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b WHERE pl.LinkTypeId = 1 AND p.Id = c.PostId AND p.Id = pl.RelatedPostId AND c.Score = 0 AND p.Id = v.PostId AND p.Id = ph.PostId AND b.UserId = c.UserId | stats |
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 l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND c_custkey = o_custkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND c_nationkey = n2.n_nationkey AND s_suppkey = l_suppkey 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 SUM(l_quantity) AS sum_qty, COUNT(*) AS count_order, l_returnflag, AVG(l_discount) AS avg_disc, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_extendedprice) AS avg_price, AVG(l_quantity) AS avg_qty, l_linestatus, SUM(l_extendedprice) AS sum_base_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 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 mi.note LIKE '%internet%' AND it.id = mi.info_type_id AND t.id = mc.movie_id AND t.production_year > 1950 AND mi.info LIKE 'USA:% 199%' AND mk.movie_id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND k.id = mk.keyword_id AND t.id = mk.movie_id AND it.info = 'release dates' AND mc.note LIKE '%(USA)%' AND ml.movie_id = mk.movie_id AND lt.id = ml.link_type_id AND cn.id = mc.company_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND lt.link LIKE '%follow%' AND ml.movie_id = mc.movie_id AND t.id = ml.movie_id AND mi.movie_id = t.id AND ct.id = mc.company_type_id AND ml.movie_id = mi.movie_id AND cn.country_code = '[us]' | 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.production_year > 1950 AND k.keyword IN ('sequel', 'revenge', 'based-ON-novel') AND t.id = ml.movie_id AND k.id = mk.keyword_id AND ml.movie_id = mi.movie_id AND it.id = mi.info_type_id AND cn.id = mc.company_id AND mi.note LIKE '%internet%' AND mc.note LIKE '%(USA)%' AND cn.country_code = '[us]' AND mi.info LIKE 'USA:% 199%' AND ml.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND mk.movie_id = mc.movie_id AND mi.movie_id = t.id AND t.id = mc.movie_id AND lt.id = ml.link_type_id AND t.id = mk.movie_id AND it.info = 'release dates' AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND lt.link LIKE '%follow%' | job |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND c_nationkey = n2.n_nationkey AND c_custkey = o_custkey AND s_nationkey = n1.n_nationkey AND o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT p_type, p_size, p_brand, COUNT(DISTINCT ps_suppkey) AS supplier_cnt 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 ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt ASC, p_brand, p_type, p_size | tpch |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE mi.note LIKE '%internet%' AND mk.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND it.id = mi.info_type_id AND t.id = mk.movie_id AND cn.id = mc.company_id AND cn.country_code = '[us]' AND mi.info LIKE 'USA:% 199%' AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND t.id = ml.movie_id AND it.info = 'release dates' AND ml.movie_id = mk.movie_id AND ml.movie_id = mi.movie_id AND lt.link LIKE '%follow%' AND k.id = mk.keyword_id AND t.production_year > 1950 AND lt.id = ml.link_type_id AND mi.movie_id = t.id AND ml.movie_id = mc.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 cn.country_code = '[us]' AND k.keyword = 'character-name-in-title' AND t.episode_nr >= 50 AND t.episode_nr < 100 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id LIMIT 100; | job |
select o_orderpriority, count(*) as order_count from orders where exists ( select * from lineitem where l_orderkey = o_orderkey and l_commitdate < l_receiptdate ) and o_orderdate >= DATE 1 and o_orderdate < DATE 1 + INTERVAL '3' MONTH group by o_orderpriority order by o_orderpriority limit 500; | tpch |
SELECT MAX(cn.name) AS from_company, MAX(lt.link) AS link_type, MAX(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 mi.note LIKE '%internet%' AND lt.id = ml.link_type_id AND ml.movie_id = mc.movie_id AND it.id = mi.info_type_id AND t.id = mk.movie_id AND cn.country_code = '[us]' AND mi.info LIKE 'USA:% 199%' AND ct.id = mc.company_type_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND lt.link LIKE '%follow%' AND t.production_year > 1950 AND mk.movie_id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'release dates' AND ml.movie_id = mk.movie_id AND mc.note LIKE '%(USA)%' AND t.id = mc.movie_id AND k.id = mk.keyword_id AND t.id = ml.movie_id AND cn.id = mc.company_id AND mi.movie_id = t.id AND ml.movie_id = mi.movie_id | 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 mc.note LIKE '%(Japan)%' AND an1.person_id = ci.person_id AND ci.movie_id = t.id AND ci.note = '(voice: English version)' AND an1.person_id = n1.id AND n1.name LIKE '%Yo%' AND mc.company_id = cn.id AND t.id = mc.movie_id AND n1.name NOT LIKE '%Yu%' AND mc.note NOT LIKE '%(USA)%' AND n1.id = ci.person_id AND ci.role_id = rt.id AND cn.country_code = '[jp]' AND rt.role = 'actress' AND ci.movie_id = mc.movie_id | job |
SELECT MAX(sr_net_loss) AS store_returns_loss, i_item_desc, i_item_id, s_store_id, MAX(ss_net_profit) AS store_sales_profit, s_store_name, MAX(cs_net_profit) AS catalog_sales_profit FROM store_sales INNER 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 INNER 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 INNER JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk INNER JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk INNER JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk INNER JOIN store ON store_sales.ss_store_sk = store.s_store_sk INNER JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 2 AND 8 AND d1.d_year = 2001 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 2 AND 8 + 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 k.id = mk.keyword_id AND t.id = mk.movie_id AND n.id = ci.person_id AND t.id = ci.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND t.production_year > 2010 AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' | 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.id = mk.keyword_id AND t.id = ci.movie_id AND t.production_year > 2010 AND n.id = ci.person_id AND t.id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND n.name LIKE '%Downey%Robert%' AND ci.movie_id = mk.movie_id | job |
Select s_name, Count(*) As numwait From supplier, lineitem l1, orders, nation Where l1.l_receiptdate > l1.l_commitdate AND n_name = 1 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 o_orderstatus = 'F' AND s_nationkey = n_nationkey Group By s_name Order By numwait Desc, s_name Limit 100 | tpch |
select min(mc.note) as production_note, min(t.title) as movie_title, min(t.production_year) as movie_year from company_type as ct, info_type as it, movie_companies as mc, movie_info_idx as mi_idx, title as t where ct.kind = 'production companies' and it.info = 'top 250 rank' and mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' and (mc.note like '%(co-production)%' or mc.note like '%(presents)%') and ct.id = mc.company_type_id and t.id = mc.movie_id and t.id = mi_idx.movie_id and mc.movie_id = mi_idx.movie_id and it.id = mi_idx.info_type_id limit 100; | 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_shipdate < l_commitdate AND o_orderkey = l_orderkey AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_receiptdate >= DATE 1 AND l_shipmode IN (1, 1) GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE n_name = 1 AND l1.l_receiptdate > l1.l_commitdate AND o_orderstatus = 'F' 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 s_nationkey = n_nationkey AND s_suppkey = l1.l_suppkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT COUNT(*) FROM store_sales INNER JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk INNER JOIN time_dim ON ss_sold_time_sk = t_time_sk INNER JOIN store ON ss_store_sk = s_store_sk WHERE t_minute >= 43 AND hd_dep_count = 4 AND s_store_name = 'ought' AND t_hour = 16 ORDER BY COUNT(*) DESC; | tpcds |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.PostTypeId = 1 AND p.Id = c.PostId AND p.Id = v.PostId AND p.Id = pl.PostId AND u.Id = p.OwnerUserId AND p.AnswerCount >= 0 AND p.Id = ph.PostId | stats |
SELECT cc_manager AS manager, SUM(cr_net_loss) AS returns_loss, cc_name AS call_center_name, cc_call_center_id AS call_center 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 '501-1000%' AND ca_gmt_offset = -5) ) AND ca_gmt_offset = -5 AND d_year = 2001 AND d_moy = 11 GROUP BY cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status ORDER BY returns_loss DESC LIMIT 100; | tpcds |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi_idx.info_type_id | job |
Select Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v Where p.Id = c.PostId And c.Score = 0 And pl.LinkTypeId = 1 And p.FavoriteCount >= 0 And p.Id = ph.PostId And p.Id = v.PostId And p.Id = pl.PostId | stats |
SELECT AVG(ss_coupon_amt) AS agg3, AVG(ss_list_price) AS agg2, AVG(ss_quantity) AS agg1, AVG(ss_sales_price) AS agg4, i_item_id FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE 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 MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND cn.country_code ='[nl]' AND t.id = mk.movie_id AND mc.movie_id = t.id AND k.keyword ='character-name-in-title' LIMIT 50; | 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 s_suppkey = l_suppkey AND p_type = 1 ) AS all_nations AND p_partkey = l_partkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND o_custkey = c_custkey AND n1.n_regionkey = r_regionkey AND c_nationkey = n1.n_nationkey AND s_nationkey = n2.n_nationkey AND r_name = 1 AND l_orderkey = o_orderkey GROUP BY o_year ORDER BY o_year | tpch |
WITH year_total AS ( SELECT c_email_address AS customer_email_address, c_customer_id AS customer_id, c_last_name AS customer_last_name, 's' AS sale_type, c_first_name AS customer_first_name, d_year AS dyear, c_login AS customer_login, 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_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 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; | tpcds |
SELECT MIN(t.title) AS japanese_movie_dubbed, MIN(an1.name) AS actress_pseudonym FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note LIKE '%(Japan)%' AND mc.note NOT LIKE '%(USA)%' AND n1.name LIKE '%Yo%' AND n1.name NOT LIKE '%Yu%' AND rt.role = 'actress' AND an1.person_id = n1.id AND n1.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an1.person_id = ci.person_id AND ci.movie_id = mc.movie_id LIMIT 20; | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.id = mk.keyword_id AND t.id = mi.movie_id AND t.production_year > 2005 AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German']) AND t.id = mk.movie_id AND k.keyword LIKE '%sequel%' AND mk.movie_id = mi.movie_id | job |
SELECT s_address, s_name, n_name, s_phone, p_partkey, s_comment, s_acctbal, p_mfgr FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT a.ca_state AS state, COUNT(1) 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 = 8 ) 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(1) >= 10 ORDER BY cnt, state LIMIT 50; | tpcds |
SELECT l_returnflag, AVG(l_discount) AS avg_disc, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, COUNT(*) AS count_order, SUM(l_extendedprice) AS sum_base_price, AVG(l_quantity) AS avg_qty, l_linestatus 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(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.company_id = cn.id AND ci.role_id = rt.id AND t.id = mc.movie_id AND ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND n1.id = ci.person_id AND an1.person_id = n1.id AND mc.note LIKE '%(Japan)%' AND ci.movie_id = mc.movie_id AND n1.name LIKE '%Yo%' AND n1.name NOT LIKE '%Yu%' AND ci.movie_id = t.id AND rt.role = 'actress' AND an1.person_id = ci.person_id AND mc.note NOT LIKE '%(USA)%' | job |
select l_orderkey, sum(l_extendedprice * (1 - l_discount)) as revenue, o_orderdate, o_shippriority from customer, orders, lineitem where c_custkey = o_custkey AND o_orderdate < DATE 1 AND l_orderkey = o_orderkey AND c_mktsegment = 1 AND l_shipdate > DATE 1 group by l_orderkey, o_orderdate, o_shippriority order by revenue asc, o_orderdate limit 10 | tpch |
SELECT SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, l_shipmode FROM orders, lineitem WHERE o_orderkey = l_orderkey AND l_receiptdate >= DATE 1 AND l_shipdate < l_commitdate AND l_commitdate < l_receiptdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) 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 ci.person_id = n.id AND it.id = pi.info_type_id AND lt.link = 'features' AND n.id = pi.person_id AND pi.note = 'Volker Boehm' AND n.id = an.person_id AND pi.person_id = an.person_id AND lt.id = ml.link_type_id AND it.info = 'mini biography' AND an.name LIKE '%a%' AND ml.linked_movie_id = t.id AND t.production_year BETWEEN 1980 AND 1995 AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ci.movie_id = ml.linked_movie_id AND t.id = ci.movie_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND pi.person_id = ci.person_id AND an.person_id = ci.person_id | job |
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.production_year > 1990 AND ci.role_id = rt.id AND an.person_id = n.id AND ci.note LIKE '%(voice: English version)%' AND mk.movie_id = ci.movie_id AND rt.role = 'actress' AND n.gender = 'f' AND ci.movie_id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND cn.country_code = '[jp]' AND mc.note NOT LIKE '%(USA)%' AND ct.id = mc.company_type_id AND mk.movie_id = mc.movie_id AND k.keyword = 'anime' AND cn.id = mc.company_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.person_id = an.person_id AND t.id = mc.movie_id AND k.id = mk.keyword_id AND n.id = ci.person_id | job |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE o_orderkey = l_orderkey AND c_nationkey = n2.n_nationkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND s_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey AND c_custkey = o_custkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE mi.info LIKE 'USA:% 199%' AND mi.note LIKE '%internet%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mk.movie_id = mc.movie_id AND ml.movie_id = mc.movie_id AND t.production_year > 1950 AND t.id = ml.movie_id AND it.id = mi.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'release dates' AND lt.link LIKE '%follow%' AND cn.country_code = '[us]' AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id AND ml.movie_id = mi.movie_id AND lt.id = ml.link_type_id AND mc.note LIKE '%(USA)%' AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND t.id = mk.movie_id LIMIT 10; | job |
SELECT i_item_id, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, AVG(cs_quantity) AS catalog_sales_quantityave, s_state, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, COUNT(sr_return_quantity) AS store_returns_quantitycount, i_item_desc, 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, AVG(ss_quantity) AS store_sales_quantityave FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d3.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') AND d2.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') AND d1.d_quarter_name = '2000Q1' GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE n_name = 1 AND o_orderkey = l1.l_orderkey AND s_nationkey = n_nationkey 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_orderstatus = 'F' AND l1.l_receiptdate > l1.l_commitdate AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) 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 ci.note = '(voice: English version)' and mc.note not like '%(USA)%' and n1.id = ci.person_id and n1.name not like '%Yu%' and mc.note like '%(Japan)%' and an1.person_id = ci.person_id and t.id = mc.movie_id and ci.movie_id = mc.movie_id and rt.role = 'actress' and n1.name like '%Yo%' and cn.country_code = '[jp]' and an1.person_id = n1.id and ci.role_id = rt.id and ci.movie_id = t.id and mc.company_id = cn.id | job |
SELECT c_comment, c_custkey, c_address, n_name, c_acctbal, c_name, c_phone, SUM(l_extendedprice * (1 - l_discount)) AS revenue 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(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE t.production_year > 2000 AND it1.id = mi_idx.info_type_id AND kt.id = t.kind_id AND mi.movie_id = mc.movie_id AND at.movie_id = mi.movie_id AND mi.info LIKE 'USA:%200%' AND it2.info = 'release dates' AND cn.id = mc.company_id AND t.id = at.movie_id AND at.movie_id = mc.movie_id AND mi_idx.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND it1.info = 'rating' AND at.title LIKE '%Champion%' AND t.id = mi_idx.movie_id AND it2.id = mi.info_type_id AND t.id = mi.movie_id AND mi_idx.info < '3.5' AND cn.country_code = '[us]' AND t.id = mc.movie_id AND kt.kind = 'movie' AND mi.movie_id = mi_idx.movie_id | job |
WITH year_total AS ( SELECT c_first_name AS customer_first_name, c_email_address AS customer_email_address, c_last_name AS customer_last_name, 's' AS sale_type, c_preferred_cust_flag AS customer_preferred_cust_flag, c_customer_id AS customer_id, d_year AS dyear, 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_login AS customer_login 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 marvel_movie, MIN(n.name) AS actor_name, MIN(k.keyword) AS movie_keyword FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.id = ci.person_id AND t.id = mk.movie_id AND t.production_year > 2010 AND k.id = mk.keyword_id AND n.name LIKE '%Hemsworth%Chris%' AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.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 kt.kind IN ('movie', 'episode') AND it2.info = 'rating' AND mi_idx.info < '7.0' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it1.info = 'countries' AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND mi.movie_id = mi_idx.movie_id AND t.production_year > 2008 AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND cn.country_code != '[us]' AND mc.note LIKE '%(200%)%' AND mc.note NOT LIKE '%(USA)%' AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND mk.movie_id = mc.movie_id AND t.id = mk.movie_id AND t.id = mi.movie_id AND kt.id = t.kind_id AND mk.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND k.keyword IN ('murder', 'murder-IN-title', 'blood', 'violence') AND mc.movie_id = mi_idx.movie_id | job |
SELECT MAX(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.production_year > 2010 AND t.id = mk.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.keyword LIKE '%sequel%' AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND k.id = mk.keyword_id | job |
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 u.Id = p.OwnerUserId And p.ViewCount >= 0 And p.FavoriteCount >= 0 And c.UserId = u.Id | stats |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE mk.movie_id = mc.movie_id AND ci.note LIKE '%(voice: English version)%' AND t.production_year > 1990 AND ci.role_id = rt.id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND k.id = mk.keyword_id AND mc.note LIKE '%(Japan)%' AND ci.person_id = an.person_id AND t.id = ci.movie_id AND n.gender = 'f' AND rt.role = 'actress' AND mk.movie_id = ci.movie_id AND t.id = mk.movie_id AND cn.id = mc.company_id AND k.keyword = 'anime' AND cn.country_code = '[jp]' AND ci.movie_id = mc.movie_id AND n.id = ci.person_id AND an.person_id = n.id AND mc.note NOT LIKE '%(USA)%' | job |
Select Count(*) From postHistory As ph, posts As p, users As u, badges As b Where p.OwnerUserId = u.Id And ph.PostHistoryTypeId = 3 And ph.UserId = u.Id And u.Reputation >= 1 And u.Id = b.UserId And p.Score >= -7 LIMIT 100; | stats |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND pi.person_id = an.person_id AND t.id = ci.movie_id AND lt.id = ml.link_type_id AND pi.note = 'Volker Boehm' AND an.person_id = ci.person_id AND n.id = an.person_id AND ci.person_id = n.id AND ml.linked_movie_id = t.id AND n.id = pi.person_id AND pi.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id AND it.id = pi.info_type_id AND n.name_pcode_cf >= 'A' AND lt.link = 'features' AND it.info = 'mini biography' AND t.production_year BETWEEN 1980 AND 1995 AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND n.name_pcode_cf <= 'F' | 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 t.id = mc.movie_id AND n1.id = ci.person_id AND mc.company_id = cn.id AND rt.role = 'actress' AND ci.movie_id = t.id AND cn.country_code = '[jp]' AND ci.note = '(voice: English version)' AND mc.note LIKE '%(Japan)%' AND mc.note NOT LIKE '%(USA)%' AND an1.person_id = ci.person_id AND n1.name NOT LIKE '%Yu%' AND ci.role_id = rt.id AND an1.person_id = n1.id AND n1.name LIKE '%Yo%' AND ci.movie_id = mc.movie_id | job |
select n_name, sum(l_extendedprice * (1 - l_discount)) as revenue from customer, orders, lineitem, supplier, nation, region where c_custkey = o_custkey and l_orderkey = o_orderkey and l_suppkey = s_suppkey and c_nationkey = s_nationkey and s_nationkey = n_nationkey and n_regionkey = r_regionkey and r_name = 1 and o_orderdate >= DATE 1 and o_orderdate < DATE 1 + INTERVAL '1' YEAR group by n_name order by revenue desc limit 200; | tpch |
SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_type NOT LIKE 1 AND p_brand != 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_partkey = ps_partkey AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, i_item_desc, COUNT(cs_quantity) AS catalog_sales_quantitycount, s_state, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, AVG(cs_quantity) AS catalog_sales_quantityave, i_item_id, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '2001Q1' AND d2.d_quarter_name IN ('2001Q1', '2000Q2', '1999Q3') AND d3.d_quarter_name IN ('2001Q1', '2000Q2', '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(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 k.keyword LIKE '%sequel%' AND mk.movie_id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.production_year > 2010 | job |
SELECT * FROM ( SELECT AVG(ss_list_price) AS b1_lp, COUNT(ss_list_price) AS b1_cnt, COUNT(DISTINCT ss_list_price) AS b1_cntd FROM store_sales WHERE ss_quantity <= 5 AND ss_quantity >= 0 AND (ss_list_price BETWEEN 45 AND 45 + 10 OR ss_coupon_amt BETWEEN 671 AND 671 + 1000 OR ss_wholesale_cost BETWEEN 93 AND 93 + 20) ) AS b1, ( SELECT AVG(ss_list_price) AS b2_lp, COUNT(ss_list_price) AS b2_cnt, COUNT(DISTINCT ss_list_price) AS b2_cntd FROM store_sales WHERE ss_quantity BETWEEN 6 AND 10 AND (ss_list_price BETWEEN 96 AND 96 + 10 OR ss_coupon_amt BETWEEN 2999 AND 2999 + 1000 OR ss_wholesale_cost BETWEEN 52 AND 52 + 20) ) AS b2, ( SELECT AVG(ss_list_price) AS b3_lp, COUNT(ss_list_price) AS b3_cnt, COUNT(DISTINCT ss_list_price) AS b3_cntd FROM store_sales WHERE ss_quantity BETWEEN 11 AND 15 AND (ss_list_price BETWEEN 70 AND 70 + 10 OR ss_coupon_amt BETWEEN 1715 AND 1715 + 1000 OR ss_wholesale_cost BETWEEN 64 AND 64 + 20) ) AS b3 LIMIT 100; | 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_nationkey = n1.n_nationkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND s_suppkey = l_suppkey AND c_nationkey = n2.n_nationkey AND c_custkey = o_custkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND o_orderkey = l_orderkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.id = mc.company_id AND an.person_id = n.id AND ci.role_id = rt.id AND k.keyword = 'anime' AND n.gender = 'f' AND rt.role = 'actress' AND mk.movie_id = mc.movie_id AND ci.person_id = an.person_id AND t.id = mk.movie_id AND cn.country_code = '[jp]' AND mc.note LIKE '%(Japan)%' AND t.id = ci.movie_id AND n.id = ci.person_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND ci.note LIKE '%(voice: English version)%' AND k.id = mk.keyword_id AND t.production_year > 1990 AND ci.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = ci.movie_id | job |
WITH year_total AS ( SELECT c_email_address AS customer_email_address, 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, 's' AS sale_type, c_login AS customer_login, c_first_name AS customer_first_name, c_last_name AS customer_last_name, c_preferred_cust_flag AS customer_preferred_cust_flag, c_birth_country AS customer_birth_country, c_customer_id AS customer_id 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 c_custkey, Sum(l_quantity), o_totalprice, o_orderdate, o_orderkey, c_name 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 s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND n_name = 1 AND o_orderkey = l1.l_orderkey 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 l1.l_receiptdate > l1.l_commitdate AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND o_orderstatus = 'F' GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
with year_total as ( select sum(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) as year_total, 's' as sale_type, c_birth_country as customer_birth_country, c_preferred_cust_flag as customer_preferred_cust_flag, c_first_name as customer_first_name, c_email_address as customer_email_address, c_last_name as customer_last_name, d_year as dyear, c_login as customer_login, c_customer_id as customer_id 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 dt.d_year, item.i_brand_id as brand_id, item.i_brand as brand, sum(ss_ext_sales_price) as sum_agg 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 asc, 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 k.keyword like '%sequel%' AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND t.production_year > 2010 AND t.id = mk.movie_id AND k.id = mk.keyword_id AND mi.info in ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') | 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 t.production_year > 1950 AND mi.info LIKE 'USA:% 199%' AND lt.id = ml.link_type_id AND mc.note LIKE '%(USA)%' AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'release dates' AND mi.note LIKE '%internet%' AND cn.country_code = '[us]' AND ml.movie_id = mi.movie_id AND mi.movie_id = t.id AND k.keyword IN ('sequel', 'revenge', 'based-ON-novel') AND k.id = mk.keyword_id AND cn.id = mc.company_id AND ml.movie_id = mk.movie_id AND t.id = mk.movie_id AND it.id = mi.info_type_id AND t.id = mc.movie_id AND ml.movie_id = mc.movie_id AND lt.link LIKE '%follow%' AND mk.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND t.id = ml.movie_id LIMIT 1000; | 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 it1.info = 'rating' AND at.movie_id = mi_idx.movie_id AND at.movie_id = mi.movie_id AND kt.id = t.kind_id AND mi.movie_id = mc.movie_id AND it1.id = mi_idx.info_type_id AND mi.movie_id = mi_idx.movie_id AND it2.id = mi.info_type_id AND kt.kind = 'movie' AND t.id = mi_idx.movie_id AND t.id = mi.movie_id AND at.movie_id = mc.movie_id AND mi_idx.info < '3.5' AND mi_idx.movie_id = mc.movie_id AND t.id = mc.movie_id AND at.title LIKE '%Champion%' AND t.production_year > 2000 AND t.id = at.movie_id AND cn.country_code = '[us]' AND cn.id = mc.company_id AND mi.info LIKE 'USA:%200%' AND it2.info = 'release dates' | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(t.title) AS marvel_movie, MIN(n.name) AS actor_name FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND n.id = ci.person_id AND n.name LIKE '%Downey%Robert%' | job |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE p_name LIKE 1 ) AS profit AND o_orderkey = l_orderkey AND ps_partkey = l_partkey AND p_partkey = l_partkey AND s_suppkey = l_suppkey AND ps_suppkey = l_suppkey AND s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT s_name, COUNT(DISTINCT s_name) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey 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_orderstatus = 'F' 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 n_name = 1 AND l1.l_receiptdate > l1.l_commitdate GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT dt.d_year, SUM(ss_ext_sales_price) AS sum_agg, item.i_brand AS brand, 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 ASC, brand_id 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 n.name LIKE '%Downey%Robert%' AND t.id = mk.movie_id AND t.production_year > 2010 AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' AND n.id = ci.person_id AND ci.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.info = 'mini biography' AND lt.id = ml.link_type_id AND t.production_year BETWEEN 1980 AND 1995 AND ci.person_id = n.id AND an.person_id = ci.person_id AND n.id = pi.person_id AND pi.person_id = ci.person_id AND lt.link = 'features' AND n.id = an.person_id AND ml.linked_movie_id = t.id AND it.id = pi.info_type_id AND t.id = ci.movie_id AND ci.movie_id = ml.linked_movie_id ) SELECT * FROM _q AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.person_id = an.person_id AND an.name LIKE '%a%' AND pi.note = 'Volker Boehm' | job |
Select Min(t.title) As movie_title From company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, title As t Where cn.country_code ='[nl]' AND t.id = mk.movie_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND mc.movie_id = mk.movie_id AND k.keyword ='character-name-In-title' AND mk.keyword_id = k.id | job |
SELECT c_first_name, c_salutation, cnt, ss_ticket_number, c_preferred_cust_flag, c_last_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (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 ASC LIMIT 100; | tpcds |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE an.person_id = ci.person_id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND cn.country_code = '[us]' AND n.id = ci.person_id AND an.person_id = n.id AND k.keyword = 'character-name-in-title' AND mk.keyword_id = k.id AND mc.company_id = cn.id AND t.episode_nr < 100 AND ci.movie_id = t.id AND ci.movie_id = mk.movie_id AND t.episode_nr >= 50 | job |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE d_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 i_category = 'Electronics' AND d_year = 1998 AND d_moy = 9 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -7 AND s_gmt_offset = -7 AND ca_gmt_offset = -7 AND s_gmt_offset = -7 AND d_year = 1998 ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE it.info = 'rating' AND it.id = miidx.info_type_id AND mi.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND mi.movie_id = t.id AND ct.kind = 'production companies' AND mc.movie_id = t.id AND miidx.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND it2.info = 'release dates' AND mi.movie_id = miidx.movie_id AND cn.id = mc.company_id AND cn.country_code = '[de]' AND kt.id = t.kind_id AND miidx.movie_id = t.id AND kt.kind = 'movie' | 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 k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND n.name like '%Downey%Robert%' AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id | job |
SELECT AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice) AS sum_base_price, SUM(l_quantity) AS sum_qty, COUNT(*) AS count_order, l_returnflag, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_linestatus, AVG(l_discount) AS avg_disc, 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 AVG(cs_list_price) AS agg2, i_item_id, AVG(cs_quantity) AS agg1, 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 = 1999 AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_marital_status = 'S' AND cd_education_status = 'Advanced Degree' AND cd_gender = 'F' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi.movie_id AND it.info = 'bottom 10 rank' AND t.id = mc.movie_id AND ct.kind = 'production companies' AND mc.movie_id = mi.movie_id AND it.id = mi.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_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.id = mi.movie_id and mk.movie_id = mi.movie_id and t.production_year > 2000 and k.keyword like '%sequel%' and t.id = mk.movie_id and mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') and k.id = mk.keyword_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.id = mk.movie_id AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND t.production_year > 2010 AND k.keyword LIKE '%sequel%' AND k.id = mk.keyword_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') | 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 mc.company_id = cn.id AND n.id = ci.person_id AND cn.country_code = '[us]' AND ci.movie_id = mk.movie_id AND an.person_id = n.id AND mk.keyword_id = k.id AND t.episode_nr >= 50 AND ci.movie_id = mc.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND k.keyword = 'character-name-in-title' AND t.episode_nr < 100 AND mc.movie_id = mk.movie_id AND an.person_id = ci.person_id AND ci.movie_id = t.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 p_size = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_type LIKE 1 AND n_regionkey = r_regionkey AND p_partkey = ps_partkey 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 c_first_name, ss_ticket_number, c_last_name, c_preferred_cust_flag, cnt, c_salutation FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_dom BETWEEN 1 AND 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND d_year IN (2001, 2001, 2001) AND s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
Select c_custkey, c_acctbal, n_name, Sum(l_extendedprice * (1 - l_discount)) As revenue, c_name, c_address, c_comment, c_phone From customer, orders, lineitem, nation Where l_returnflag = 'R' And c_custkey = o_custkey And o_orderdate >= DATE 1 And c_nationkey = n_nationkey And l_orderkey = o_orderkey And o_orderdate < DATE 1 + INTERVAL '3' MONTH 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 mc.movie_id = mi_idx.movie_id And it.info = 'top 250 rank' And mc.note Not Like '%(As Metro-Goldwyn-Mayer Pictures)%' And (mc.note Like '%(co-production)%' Or mc.note Like '%(presents)%') And t.id = mc.movie_id And it.id = mi_idx.info_type_id And ct.id = mc.company_type_id And t.id = mi_idx.movie_id And ct.kind = 'production companies' | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey != l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND s_suppkey = l1.l_suppkey AND n_name = 1 AND l1.l_receiptdate > l1.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 o_orderkey = l1.l_orderkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | 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 store_sales On ss_item_sk = i_item_sk Where d_date Between CAST('2002-01-23' As DATE) And (CAST('2002-01-23' As DATE) + INTERVAL '60 days') And i_current_price Between 80 And 80 + 30 And i_manufact_id In (427, 128, 154, 9) And inv_quantity_on_hand Between 100 And 500 Group By i_item_id, i_item_desc, i_current_price Order By i_item_id Limit 100; | tpcds |
select 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 mk.keyword_id = k.id and cn.country_code ='[sm]' and t.id = mk.movie_id and k.keyword ='character-name-in-title' and cn.id = mc.company_id and mc.movie_id = t.id | job |
SELECT COUNT(cs_quantity) AS catalog_sales_quantitycount, COUNT(sr_return_quantity) AS store_returns_quantitycount, s_state, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, i_item_desc, i_item_id, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, 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 = '2001Q1' AND d2.d_quarter_name IN ('2001Q1', '2000Q2', '1999Q3') AND d3.d_quarter_name IN ('2001Q1', '2000Q2', '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 Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v, users As u Where p.Id = v.PostId And p.AnswerCount >= 0 And p.Id = ph.PostId And u.Id = p.OwnerUserId And p.Id = pl.PostId And p.PostTypeId = 1 And p.Id = c.PostId Limit 200; | stats |
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 n.name LIKE '%Downey%Robert%' AND t.id = mk.movie_id AND t.production_year > 2010 AND n.id = ci.person_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE p.Id = c.PostId AND c.UserId = u.Id AND p.Id = pl.RelatedPostId AND p.Score <= 40 AND b.UserId = u.Id AND p.Id = v.PostId AND pl.LinkTypeId = 1 AND p.Id = ph.PostId | stats |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, MAX(ss_net_profit) AS store_sales_profit, MAX(sr_net_loss) AS store_returns_loss, MAX(cs_net_profit) AS catalog_sales_profit FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d3.d_year = 2002 AND d2.d_year = 2002 AND d2.d_moy >= 5 AND d2.d_moy <= 5 + 3 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d1.d_year = 2002 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(an.name) as acress_pseudonym, min(t.title) as japanese_anime_movie from aka_name as an, cast_info as ci, company_name as cn, company_type as ct, keyword as k, movie_companies as mc, movie_keyword as mk, name as n, role_type as rt, title as t where ci.note like '%(voice: English version)%' and t.production_year > 1990 and mc.note like '%(Japan)%' and ci.movie_id = mc.movie_id and t.id = mk.movie_id and cn.country_code = '[jp]' and t.id = mc.movie_id and t.id = ci.movie_id and n.gender = 'f' and cn.id = mc.company_id and ci.person_id = an.person_id and ci.role_id = rt.id and n.id = ci.person_id and mc.note not like '%(USA)%' and mk.movie_id = mc.movie_id and k.id = mk.keyword_id and an.person_id = n.id and k.keyword = 'anime' and rt.role = 'actress' and mk.movie_id = ci.movie_id and ct.id = mc.company_type_id limit 1000; | job |
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