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SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE 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 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_nationkey = n_nationkey AND n_name = 1 AND o_orderkey = l1.l_orderkey AND s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' 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 it.id = mi_idx.info_type_id AND it.info = 'top 250 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id | job |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN promotion ON ss_promo_sk = p_promo_sk INNER JOIN date_dim ON ss_sold_date_sk = d_date_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 item ON ss_item_sk = i_item_sk WHERE 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 INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN date_dim ON ss_sold_date_sk = d_date_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 item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -7 AND s_gmt_offset = -7 AND ca_gmt_offset = -7 AND i_category = 'Electronics' AND d_moy = 9 ) AS all_sales AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_year = 1998 AND s_gmt_offset = -7 ORDER BY promotions, total 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 t.id = mk.movie_id AND cn.id = mc.company_id AND mk.keyword_id = k.id AND mc.movie_id = t.id AND cn.country_code ='[nl]' AND mc.movie_id = mk.movie_id AND k.keyword ='character-name-in-title' LIMIT 50; | job |
Select Min(t.title) As movie_title From company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, title As t Where mk.keyword_id = k.id And mc.movie_id = t.id And k.keyword ='character-name-In-title' And cn.country_code ='[sm]' And t.id = mk.movie_id And cn.id = mc.company_id And mc.movie_id = mk.movie_id LIMIT 10; | job |
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 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 d3.d_moy Between 3 And 7 + 3 And d1.d_moy Between 3 And 7 And d2.d_year = 2002 And d2.d_moy Between 3 And 7 + 3 And d1.d_year = 2002 And d3.d_year = 2002 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(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 t.id = mc.movie_id AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi_idx.info_type_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 mc.movie_id = mi_idx.movie_id | job |
select nation, o_year, sum(amount) as sum_profit from ( select n_name as nation, EXTRACT(YEAR from o_orderdate) as o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity as amount from part, supplier, lineitem, partsupp, orders, nation where ps_suppkey = l_suppkey AND s_suppkey = l_suppkey AND ps_partkey = l_partkey AND s_nationkey = n_nationkey AND o_orderkey = l_orderkey AND p_name like 1 ) as profit AND p_partkey = l_partkey group by nation, o_year order by nation, o_year desc | tpch |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority != '1-URGENT' AND o_orderpriority != '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND o_orderkey = l_orderkey AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate AND l_shipdate < l_commitdate AND l_shipmode IN (1, 1) GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 500; | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, users AS u WHERE p.ViewCount >= 0 AND p.FavoriteCount >= 0 AND c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND c.UserId = u.Id AND u.Id = p.OwnerUserId AND p.CommentCount >= 0 LIMIT 200; | 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 ct.id = mc.company_type_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND t.production_year > 1950 AND lt.link LIKE '%follow%' AND it.id = mi.info_type_id AND mi.note LIKE '%internet%' AND ml.movie_id = mk.movie_id AND mi.info LIKE 'USA:% 199%' AND k.id = mk.keyword_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND it.info = 'release dates' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND cn.country_code = '[us]' AND mi.movie_id = t.id AND lt.id = ml.link_type_id AND t.id = ml.movie_id AND mc.note LIKE '%(USA)%' AND cn.id = mc.company_id AND t.id = mk.movie_id AND ml.movie_id = mi.movie_id AND t.id = mc.movie_id | job |
select p_brand, p_type, p_size, count(distinct ps_suppkey) as supplier_cnt from partsupp, part where p_size in (1, 1, 1, 1, 1, 1, 1, 1) AND p_brand <> 1 AND p_partkey = ps_partkey AND ps_suppkey not in ( select s_suppkey from supplier where s_comment like '%Customer%Complaints%' ) AND p_type not like 1 group by p_brand, p_type, p_size order by supplier_cnt desc, p_brand, p_type, p_size | 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 n.id = ci.person_id AND t.production_year > 2010 AND n.name LIKE '%Downey%Robert%' AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND t.id = ci.movie_id | job |
Select i_manufact_id, i_brand_id As brand_id, i_manufact, 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 Join customer On ss_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join store On ss_store_sk = s_store_sk Where d_moy = 12 And d_year = 1999 And i_manager_id = 47 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 ps_partkey, SUM(ps_supplycost * ps_availqty) AS VALUE FROM partsupp, supplier, nation WHERE ps_suppkey = s_suppkey AND n_name = 1 AND s_nationkey = n_nationkey GROUP BY ps_partkey HAVING SUM(ps_supplycost * ps_availqty) > ( SELECT SUM(ps_supplycost * ps_availqty) * 1 FROM partsupp, supplier, nation WHERE ps_suppkey = s_suppkey AND s_nationkey = n_nationkey AND n_name = 1 ) ORDER BY VALUE DESC LIMIT 100; | tpch |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE 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 c_custkey = o_custkey AND s_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, s_state, i_item_id, COUNT(sr_return_quantity) AS store_returns_quantitycount, AVG(ss_quantity) AS store_sales_quantityave, i_item_desc, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(cs_quantity) AS catalog_sales_quantityave FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '1999Q2' AND d3.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') AND d2.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND it.id = mi_idx.info_type_id AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id 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)%' | job |
WITH year_total AS ( SELECT c_first_name AS customer_first_name, c_birth_country AS customer_birth_country, c_customer_id AS customer_id, c_last_name AS customer_last_name, 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, c_login AS customer_login, 's' AS sale_type, c_preferred_cust_flag AS customer_preferred_cust_flag, d_year AS dyear 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 biography_movie, MIN(n.name) AS of_person FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND ml.linked_movie_id = t.id AND pi.person_id = an.person_id AND t.production_year BETWEEN 1980 AND 1995 AND ci.movie_id = ml.linked_movie_id AND an.person_id = ci.person_id AND n.id = pi.person_id AND it.info = 'mini biography' AND t.id = ci.movie_id AND n.id = an.person_id AND an.name LIKE '%a%' AND it.id = pi.info_type_id AND lt.link = 'features' AND lt.id = ml.link_type_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.person_id = ci.person_id AND pi.note = 'Volker Boehm' AND ci.person_id = n.id | job |
SELECT p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_brand FROM partsupp, part WHERE p_type NOT LIKE 1 AND p_partkey = ps_partkey AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_brand <> 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 DESC, p_brand, p_type, p_size | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE r_name = 1 AND l_suppkey = s_suppkey AND c_custkey = o_custkey AND c_nationkey = s_nationkey AND n_regionkey = r_regionkey AND o_orderdate >= DATE 1 AND s_nationkey = n_nationkey AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT MAX(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 k.id = mk.keyword_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.production_year > 2005 AND k.keyword LIKE '%sequel%' AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id | job |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE p.Id = c.PostId AND p.ViewCount >= 0 AND p.Id = ph.PostId AND u.Id = b.UserId AND u.Id = p.OwnerUserId AND p.Id = v.PostId AND p.Score <= 192 | stats |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE u.Id = b.UserId AND p.Id = v.PostId AND p.Id = c.PostId AND p.ViewCount >= 0 AND u.Id = p.OwnerUserId AND p.Score <= 192 AND p.Id = ph.PostId | stats |
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 o_orderkey = l_orderkey AND l_commitdate < l_receiptdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_receiptdate >= DATE 1 AND l_shipmode = ANY(ARRAY[1, 1]) GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT extended_price, c_last_name, bought_city, list_price, c_first_name, ca_city, ss_ticket_number, extended_tax FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk INNER 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 (1999, 2002, 2003) AND s_city IN ('Clinton', 'Oak Grove') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn INNER JOIN customer ON ss_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.id = mk.keyword_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND t.id = ci.movie_id AND t.production_year > 2010 AND n.name LIKE '%Downey%Robert%' | job |
select sum(l_extendedprice) / 7.0 as avg_yearly from lineitem, part where p_container = 1 AND p_partkey = l_partkey AND p_brand = 1 AND l_quantity < ( select 0.2 * avg(l_quantity) from lineitem where l_partkey = p_partkey ) | tpch |
SELECT MIN(t.title) AS northamerican_movie, MIN(mi_idx.info) AS rating FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE kt.kind = 'movie' AND at.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND at.title LIKE '%Champion%' AND it2.info = 'release dates' AND t.id = at.movie_id AND mi_idx.info < '3.5' AND it1.info = 'rating' AND at.movie_id = mi.movie_id AND it1.id = mi_idx.info_type_id AND mi_idx.movie_id = mc.movie_id AND kt.id = t.kind_id AND cn.country_code = '[us]' AND t.id = mi_idx.movie_id AND t.production_year > 2000 AND mi.movie_id = mi_idx.movie_id AND cn.id = mc.company_id AND it2.id = mi.info_type_id AND mi.info LIKE 'USA:%200%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND at.movie_id = mi_idx.movie_id | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND cn.country_code ='[de]' AND k.keyword ='character-name-IN-title' AND mk.keyword_id = k.id AND cn.id = mc.company_id AND mc.movie_id = t.id | job |
Select Min(chn.name) As uncredited_voiced_character, Min(t.title) As russian_movie From char_name As chn, cast_info As ci, company_name As cn, company_type As ct, movie_companies As mc, role_type As rt, title As t Where cn.id = mc.company_id AND rt.role = 'actor' AND cn.country_code = '[ru]' AND ci.note Like '%(voice)%' AND chn.id = ci.person_role_id AND ci.movie_id = mc.movie_id AND ci.note Like '%(uncredited)%' AND rt.id = ci.role_id AND t.id = ci.movie_id AND ct.id = mc.company_type_id AND t.production_year > 2005 AND t.id = mc.movie_id | job |
SELECT l_linestatus, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice) AS sum_base_price, COUNT(*) AS count_order, AVG(l_extendedprice) AS avg_price, l_returnflag, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_discount) AS avg_disc, SUM(l_quantity) AS sum_qty FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus LIMIT 20; | tpch |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, MIN(ss_net_profit) AS store_sales_profit, MIN(sr_net_loss) AS store_returns_loss, MIN(cs_net_profit) AS catalog_sales_profit FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d3.d_moy BETWEEN 2 AND 8 + 3 AND d1.d_moy BETWEEN 2 AND 8 AND d3.d_year = 2002 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2002 AND d1.d_year = 2002 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(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE it.info = 'top 250 rank' AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id LIMIT 1000; | job |
SELECT c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_comment FROM customer, orders, lineitem, nation WHERE l_returnflag = 'R' AND c_nationkey = n_nationkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_orderkey = o_orderkey AND c_custkey = o_custkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE mi.movie_id = mc.movie_id AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND ci.person_id = an.person_id AND t.production_year > 2000 AND it.id = mi.info_type_id AND t.id = mi.movie_id AND mc.note LIKE '%(USA)%' AND n.id = ci.person_id AND n.gender = 'f' AND it.info = 'release dates' AND mi.movie_id = ci.movie_id AND t.id = ci.movie_id AND cn.country_code = '[us]' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND cn.id = mc.company_id AND t.id = mc.movie_id AND an.person_id = n.id AND ci.role_id = rt.id AND chn.id = ci.person_role_id | job |
SELECT MAX(sr_net_loss) AS store_returns_loss, MAX(ss_net_profit) AS store_sales_profit, s_store_id, i_item_id, s_store_name, MAX(cs_net_profit) AS catalog_sales_profit, i_item_desc 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 d1.d_moy BETWEEN 5 AND 5 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d3.d_year = 2002 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 AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales INNER JOIN store ON s_store_sk = ss_store_sk INNER JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk INNER JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk INNER JOIN customer_address ON ca_address_sk = ss_addr_sk INNER JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE s_market_id = 8 AND d_year = 2002 AND ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 89 AND 113) OR (cd_marital_status = 'M' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 53 AND 128) OR (cd_marital_status = 'D' AND cd_education_status = 'Advanced Degree' AND ss_sales_price BETWEEN 110 AND 166) ) AND ( (hd_dep_count = 1 AND hd_vehicle_count <= 4) OR (hd_dep_count = 3 AND hd_vehicle_count <= 4) OR (hd_dep_count = 6 AND hd_vehicle_count <= 3) ) AND ca_country = 'United States' AND ca_state IN ('TX', 'WA', 'FL') LIMIT 200; | tpcds |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE 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 o_orderstatus = 'F' AND l1.l_receiptdate > l1.l_commitdate AND s_suppkey = l1.l_suppkey AND n_name = 1 AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND o_orderkey = l1.l_orderkey 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 cn.country_code = '[jp]' AND rt.role = 'actress' AND an1.person_id = n1.id AND ci.movie_id = t.id AND mc.note NOT LIKE '%(USA)%' AND ci.role_id = rt.id AND n1.name LIKE '%Yo%' AND n1.name NOT LIKE '%Yu%' AND ci.note = '(voice: English version)' AND ci.movie_id = mc.movie_id AND n1.id = ci.person_id AND mc.note LIKE '%(Japan)%' AND an1.person_id = ci.person_id AND mc.company_id = cn.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 t.id = mc.movie_id AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND t.id = mi_idx.movie_id | job |
WITH _q AS ( 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_nationkey = n2.n_nationkey AND c_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey AND p_type = 1 ) As all_nations AND n1.n_regionkey = r_regionkey AND p_partkey = l_partkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND l_orderkey = o_orderkey AND r_name = 1 AND o_custkey = c_custkey Group By o_year Order By o_year ) SELECT * FROM _q; | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE c.Score = 0 AND p.Id = ph.PostId AND p.Id = pl.PostId AND p.Id = v.PostId AND pl.LinkTypeId = 1 AND p.Id = c.PostId AND p.FavoriteCount >= 0 | stats |
SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_size = ANY(ARRAY[1, 1, 1, 1, 1, 1, 1, 1]) AND p_type NOT LIKE 1 AND p_partkey = ps_partkey AND p_brand <> 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE p_partkey = l_partkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_nationkey = n2.n_nationkey AND o_custkey = c_custkey AND c_nationkey = n1.n_nationkey AND p_type = 1 ) AS all_nations AND l_orderkey = o_orderkey AND s_suppkey = l_suppkey AND r_name = 1 AND n1.n_regionkey = r_regionkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE n_name = 1 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_suppkey = l1.l_suppkey AND s_nationkey = n_nationkey AND l1.l_receiptdate > l1.l_commitdate AND o_orderkey = l1.l_orderkey 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 ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT MIN(t.title) AS western_sequel, MIN(cn.name) AS from_company, MIN(lt.link) AS link_type FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mk.movie_id = mc.movie_id AND t.id = mc.movie_id AND t.production_year > 1950 AND ml.movie_id = mk.movie_id AND it.id = mi.info_type_id AND lt.id = ml.link_type_id AND ml.movie_id = mc.movie_id AND cn.country_code = '[us]' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mi.movie_id = t.id AND cn.id = mc.company_id AND ml.movie_id = mi.movie_id AND t.id = ml.movie_id AND t.id = mk.movie_id AND ct.id = mc.company_type_id AND mi.info LIKE 'USA:% 199%' AND it.info = 'release dates' AND lt.link LIKE '%follow%' AND mc.note LIKE '%(USA)%' AND k.id = mk.keyword_id AND mi.note LIKE '%internet%' | job |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, badges as b where p.Id = ph.PostId AND p.Id = pl.RelatedPostId AND pl.LinkTypeId = 1 AND p.Id = v.PostId AND b.UserId = c.UserId AND p.Id = c.PostId AND c.Score = 0 | stats |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_suppkey = l1.l_suppkey AND o_orderkey = l1.l_orderkey 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 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 n_name = 1 AND s_nationkey = n_nationkey GROUP BY s_name ORDER BY numwait DESC, s_name; | 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 t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' AND it.id = mi_idx.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
WITH _q AS ( Select Count(*) From posts As p, tags As t Where p.CommentCount >= 0 ) SELECT * FROM _q AND p.Id = t.ExcerptPostId | stats |
SELECT i_brand AS brand, SUM(ss_ext_sales_price) AS ext_price, i_brand_id AS brand_id FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk WHERE i_manager_id = 1 AND d_moy = 11 AND d_year = 2001 GROUP BY i_brand, i_brand_id ORDER BY ext_price DESC, brand_id LIMIT 100; | tpcds |
SELECT 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 '%Hemsworth%Chris%' AND t.production_year > 2010 AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND n.id = ci.person_id AND t.id = ci.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 k.id = mk.keyword_id and n.id = ci.person_id and n.name like '%Hemsworth%Chris%' and k.keyword = 'marvel-cinematic-universe' and t.id = ci.movie_id and t.id = mk.movie_id and t.production_year > 2010 and ci.movie_id = mk.movie_id | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword LIKE '%sequel%' AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German']) AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.production_year > 2005 AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id | job |
SELECT o_orderkey, c_custkey, SUM(l_quantity), o_totalprice, c_name, 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 ASC, o_orderdate LIMIT 100 | 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 k.id = mk.keyword_id and n.id = ci.person_id and t.id = ci.movie_id and ci.movie_id = mk.movie_id and n.name like '%Downey%Robert%' and t.production_year > 2010 and t.id = mk.movie_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 mc.note NOT LIKE '%(USA)%' AND ci.role_id = rt.id AND ct.id = mc.company_type_id AND t.id = ci.movie_id AND cn.country_code = '[jp]' AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND mc.note LIKE '%(Japan)%' AND cn.id = mc.company_id AND an.person_id = n.id AND t.id = mc.movie_id AND n.gender = 'f' AND mk.movie_id = ci.movie_id AND ci.movie_id = mc.movie_id AND k.keyword = 'anime' AND rt.role = 'actress' AND ci.note LIKE '%(voice: English version)%' AND ci.person_id = an.person_id AND t.id = mk.movie_id AND k.id = mk.keyword_id | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.name LIKE '%Downey%Robert%' AND k.keyword = 'marvel-cinematic-universe' AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND t.id = ci.movie_id AND t.production_year > 2010 AND k.id = mk.keyword_id AND t.id = mk.movie_id | job |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where k.keyword Like '%sequel%' And t.production_year > 2010 And mk.movie_id = mi.movie_id And k.id = mk.keyword_id And t.id = mk.movie_id And mi.info In ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') And t.id = mi.movie_id | job |
SELECT i_item_desc, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, AVG(cs_quantity) AS catalog_sales_quantityave, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, s_state, i_item_id, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, COUNT(sr_return_quantity) AS store_returns_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 ('1999Q2', '2002Q2', '1999Q3') AND d1.d_quarter_name = '1999Q2' AND d2.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE mi.movie_id = ci.movie_id AND t.id = ci.movie_id AND mi.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND cn.id = mc.company_id AND it.id = mi.info_type_id AND t.id = mi.movie_id AND an.person_id = n.id AND ci.person_id = an.person_id AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND t.production_year > 2000 AND n.id = ci.person_id AND cn.country_code = '[us]' AND t.id = mc.movie_id AND it.info = 'release dates' AND ci.role_id = rt.id AND n.gender = 'f' AND chn.id = ci.person_role_id | job |
SELECT MIN(t.title) AS marvel_movie, MIN(k.keyword) AS movie_keyword, 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.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND n.name LIKE '%Downey%Robert%' AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mc.movie_id AND it.info = 'top 250 rank' AND ct.id = mc.company_type_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_idx.movie_id AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND ct.kind = 'production companies' | job |
SELECT c_first_name, extended_price, ca_city, bought_city, extended_tax, ss_ticket_number, c_last_name, list_price FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 4 OR hd_vehicle_count = 4) AND d_dow IN (6, 0) AND d_year IN (2001, 2000, 2001) AND s_city IN ('Clinton', 'Glendale') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
Select p_brand, p_type, p_size, Count(Distinct ps_suppkey) As supplier_cnt From partsupp, part Where p_partkey = ps_partkey AND p_type Not Like 1 AND ps_suppkey Not In ( Select s_suppkey From supplier Where s_comment Like '%Customer%Complaints%' ) AND p_brand <> 1 AND p_size In (1, 1, 1, 1, 1, 1, 1, 1) Group By p_brand, p_type, p_size Order By supplier_cnt Desc, p_brand, p_type, p_size | tpch |
Select i_item_id, i_item_desc, i_current_price From item Inner Join inventory On i_item_sk = inv_item_sk Inner Join date_dim On d_date_sk = inv_date_sk Inner Join store_sales On ss_item_sk = i_item_sk Where d_date Between CAST('2002-01-23' As DATE) And (CAST('2002-01-23' As DATE) + INTERVAL '60 days') And i_manufact_id In (427, 128, 154, 9) And inv_quantity_on_hand Between 100 And 500 And i_current_price Between 80 And 80 + 30 Group By i_item_id, i_item_desc, i_current_price Order By i_item_id Limit 100; | tpcds |
select ca_city, bought_city, c_last_name, ss_ticket_number, extended_price, list_price, c_first_name, extended_tax from ( select ss_ticket_number, ss_customer_sk, ca_city as bought_city, sum(ss_ext_sales_price) as extended_price, sum(ss_ext_list_price) as list_price, sum(ss_ext_tax) as extended_tax from store_sales join date_dim on ss_sold_date_sk = d_date_sk join store on ss_store_sk = s_store_sk join household_demographics on ss_hdemo_sk = hd_demo_sk join customer_address on ss_addr_sk = ca_address_sk where (hd_dep_count = 6 or hd_vehicle_count = 2) and d_dow in (6, 0) and d_year in (2001, 2000, 2002) and s_city in ('Five Points', 'Springfield') 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 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_commitdate < l_receiptdate AND l_receiptdate >= DATE 1 AND l_shipmode IN (1, 1) AND o_orderkey = l_orderkey AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE mi.movie_id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND it1.id = mi.info_type_id AND ct.id = mc.company_type_id AND mi_idx.info < '7.0' AND cn.country_code != '[us]' AND it1.info = 'countries' AND t.production_year > 2008 AND mi.movie_id = mc.movie_id AND mc.note LIKE '%(200%)%' AND kt.id = t.kind_id AND mk.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.id = mi_idx.movie_id AND kt.kind IN ('movie', 'episode') AND mk.movie_id = mc.movie_id AND it2.info = 'rating' AND t.id = mk.movie_id AND t.id = mi.movie_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND cn.id = mc.company_id | job |
SELECT AVG(l_extendedprice) AS avg_price, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_returnflag, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice) AS sum_base_price, AVG(l_discount) AS avg_disc, 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(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE k.keyword ='character-name-IN-title' AND cn.id = mc.company_id AND t.id = mk.movie_id AND cn.country_code ='[sm]' AND mc.movie_id = t.id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id | job |
with ss as ( select i_manufact_id, sum(ss_ext_sales_price) as total_sales from store_sales join date_dim on ss_sold_date_sk = d_date_sk join customer_address on ss_addr_sk = ca_address_sk join item on ss_item_sk = i_item_sk where d_moy = 2 AND i_category in ('Electronics') AND ca_gmt_offset = -5 AND d_year = 2000 group by i_manufact_id ), cs as ( select i_manufact_id, sum(cs_ext_sales_price) as total_sales from catalog_sales join date_dim on cs_sold_date_sk = d_date_sk join customer_address on cs_bill_addr_sk = ca_address_sk join item on cs_item_sk = i_item_sk where d_year = 2000 and d_moy = 2 and i_category in ('Electronics') and ca_gmt_offset = -5 group by i_manufact_id ), ws as ( select i_manufact_id, sum(ws_ext_sales_price) as total_sales from web_sales join date_dim on ws_sold_date_sk = d_date_sk join customer_address on ws_bill_addr_sk = ca_address_sk join item on ws_item_sk = i_item_sk where d_year = 2000 and d_moy = 2 and i_category in ('Electronics') and ca_gmt_offset = -5 group by i_manufact_id ) select i_manufact_id, sum(total_sales) as total_sales from ( select * from ss union all select * from cs union all select * from ws ) as tmp group by i_manufact_id order by total_sales desc limit 100; | tpcds |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE u.Id = b.UserId AND p.Id = ph.PostId AND p.ViewCount >= 0 AND p.Id = c.PostId AND p.Id = v.PostId AND p.Score <= 192 AND u.Id = p.OwnerUserId | stats |
SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_type NOT LIKE 1 AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_partkey = ps_partkey AND p_brand <> 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size LIMIT 10; | tpch |
SELECT o_orderkey, o_orderdate, SUM(l_quantity), c_custkey, o_totalprice, 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 ASC, o_orderdate LIMIT 100 | 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 n.gender = 'f' AND ci.role_id = rt.id AND mi.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND t.production_year > 2000 AND rt.role = 'actress' AND it.id = mi.info_type_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.movie_id = mc.movie_id AND it.info = 'release dates' AND n.id = ci.person_id AND t.id = mi.movie_id AND t.id = ci.movie_id AND t.id = mc.movie_id AND an.person_id = n.id AND mi.movie_id = ci.movie_id AND mc.note LIKE '%(USA)%' AND cn.country_code = '[us]' AND cn.id = mc.company_id AND ci.person_id = an.person_id | job |
SELECT c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_phone, c_address, c_comment, n_name, c_acctbal 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(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.production_year > 2005 AND t.id = mk.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND k.keyword LIKE '%sequel%' AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German']) | 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 s_nationkey = n_nationkey AND p_type LIKE 1 AND n_regionkey = r_regionkey AND p_size = 1 AND s_suppkey = ps_suppkey AND p_partkey = ps_partkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_partkey = ps_partkey AND p_brand <> 1 AND p_type NOT LIKE 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size LIMIT 100; | tpch |
SELECT MIN(t.title) AS marvel_movie, MIN(k.keyword) AS movie_keyword, 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 t.production_year > 2010 AND n.name LIKE '%Downey%Robert%' AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = t.id AND mk.keyword_id = k.id AND t.id = mk.movie_id AND cn.country_code ='[nl]' AND k.keyword ='character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = mk.movie_id LIMIT 1000; | job |
Select Sum(cr_net_loss) As returns_loss, cc_call_center_id As call_center, cc_manager As manager, cc_name As call_center_name From call_center Join catalog_returns On cr_call_center_sk = cc_call_center_sk Join date_dim On cr_returned_date_sk = d_date_sk Join customer On cr_returning_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join customer_demographics On cr_returning_cdemo_sk = cd_demo_sk Join household_demographics On cr_returning_hdemo_sk = hd_demo_sk Where d_year = 1999 And d_moy = 12 And ( (cd_marital_status = 'S' And cd_education_status = '4 yr Degree') Or (hd_buy_potential Like '1001-5000%' And ca_gmt_offset = -6) ) And ca_gmt_offset = -6 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 nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE s_nationkey = n_nationkey AND o_orderkey = l_orderkey AND p_name LIKE 1 ) AS profit AND p_partkey = l_partkey AND s_suppkey = l_suppkey AND ps_suppkey = l_suppkey AND ps_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT s_phone, s_comment, s_acctbal, s_address, p_partkey, s_name, p_mfgr, n_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 count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, badges as b, users as u where p.Id = c.PostId and p.Id = ph.PostId and b.UserId = u.Id and c.UserId = u.Id and p.Id = v.PostId and p.Id = pl.RelatedPostId and p.Score <= 40 and pl.LinkTypeId = 1 | 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 ci.movie_id = mk.movie_id AND n.id = ci.person_id AND t.id = ci.movie_id AND t.production_year > 2010 AND n.name LIKE '%Downey%Robert%' AND t.id = mk.movie_id AND k.id = mk.keyword_id AND k.keyword = 'marvel-cinematic-universe' | job |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b WHERE b.UserId = c.UserId AND p.Id = v.PostId AND p.Id = pl.RelatedPostId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 AND p.Id = c.PostId AND c.Score = 0 | stats |
SELECT ss_ticket_number, list_price, extended_tax, c_first_name, extended_price, ca_city, c_last_name, bought_city FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE d_year IN (2001, 2000, 2001) AND s_city IN ('Clinton', 'Glendale') AND d_dow IN (6, 0) AND (hd_dep_count = 4 OR hd_vehicle_count = 4) 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 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 d_moy = 8 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -7 AND s_gmt_offset = -7 AND d_moy = 8 ) AS all_sales AND i_category = 'Music' AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND i_category = 'Music' AND d_year = 1998 AND d_year = 1998 AND ca_gmt_offset = -7 ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT MIN(cs_net_profit) AS catalog_sales_profit, i_item_desc, MIN(sr_net_loss) AS store_returns_loss, i_item_id, MIN(ss_net_profit) AS store_sales_profit, s_store_name, s_store_id 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 d1.d_moy BETWEEN 3 AND 7 AND d1.d_year = 2002 AND d3.d_year = 2002 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 3 AND 7 + 3 AND d2.d_moy BETWEEN 3 AND 7 + 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 MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mi.movie_id AND t.id = mk.movie_id AND k.id = mk.keyword_id AND t.production_year > 2005 AND mk.movie_id = mi.movie_id AND k.keyword LIKE '%sequel%' AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') LIMIT 100; | job |
WITH _q AS ( SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = mk.movie_id ) SELECT * FROM _q AND k.keyword ='character-name-in-title' AND t.id = mk.movie_id AND mk.keyword_id = k.id AND cn.id = mc.company_id AND mc.movie_id = t.id AND cn.country_code ='[nl]' | 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 ps_partkey = l_partkey AND s_nationkey = n_nationkey AND ps_suppkey = l_suppkey AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND o_orderkey = l_orderkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
select sum(case when (CAST(d_date as DATE) >= CAST('1998-01-01' as DATE)) then cs_sales_price - COALESCE(cr_refunded_cash, 0) else 0 end) as sales_after, w_state, i_item_id, sum(case when (CAST(d_date as DATE) < CAST('1998-01-01' as DATE)) then cs_sales_price - COALESCE(cr_refunded_cash, 0) else 0 end) as sales_before from catalog_sales left join catalog_returns on cs_order_number = cr_order_number and cs_item_sk = cr_item_sk join warehouse on cs_warehouse_sk = w_warehouse_sk join item on i_item_sk = cs_item_sk join date_dim on cs_sold_date_sk = d_date_sk where i_current_price >= 6.75 and i_current_price <= 6.75 + 1.49 and d_date between (CAST('1998-01-01' as DATE) - INTERVAL '30 days') and (CAST('1998-01-01' as DATE) + INTERVAL '30 days') group by w_state, i_item_id order by w_state, i_item_id limit 100; | tpcds |
SELECT c_custkey, SUM(l_quantity), o_orderdate, c_name, o_orderkey, o_totalprice FROM customer, orders, lineitem WHERE o_orderkey IN ( SELECT l_orderkey FROM lineitem GROUP BY l_orderkey HAVING SUM(l_quantity) > 1 ) AND c_custkey = o_custkey AND o_orderkey = l_orderkey GROUP BY c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice ORDER BY o_totalprice DESC, o_orderdate LIMIT 100 | tpch |
Select cust_nation, l_year, supp_nation, Sum(volume) As revenue From ( Select n1.n_name As supp_nation, n2.n_name As cust_nation, EXTRACT(YEAR From l_shipdate) As l_year, l_extendedprice * (1 - l_discount) As volume From supplier, lineitem, orders, customer, nation n1, nation n2 Where c_custkey = o_custkey AND s_nationkey = n1.n_nationkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) As shipping AND c_nationkey = n2.n_nationkey AND o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND ( (n1.n_name = 1 And n2.n_name = 1) Or (n1.n_name = 1 And n2.n_name = 1) ) Group By supp_nation, cust_nation, l_year Order By supp_nation, cust_nation, l_year | tpch |
SELECT AVG(cs_coupon_amt) AS agg3, AVG(cs_quantity) AS agg1, i_item_id, AVG(cs_list_price) AS agg2, 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 (p_channel_email = 'N' OR p_channel_event = 'N') AND d_year = 2002 AND cd_education_status = 'Advanced Degree' AND cd_marital_status = 'S' AND cd_gender = 'M' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
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