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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 o_orderkey = l_orderkey AND l_shipdate < l_commitdate AND l_commitdate < l_receiptdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) AND l_receiptdate >= DATE 1 GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 50; | tpch |
Select o_orderkey, o_orderdate, c_custkey, o_totalprice, Sum(l_quantity), 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 MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German']) AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = mi.movie_id AND k.keyword LIKE '%sequel%' AND t.production_year > 2010 AND mk.movie_id = mi.movie_id | job |
With _q As ( Select i_item_id, Avg(ss_quantity) As agg1, Avg(ss_list_price) As agg2, Avg(ss_coupon_amt) As agg3, Avg(ss_sales_price) As agg4 From store_sales Join customer_demographics On ss_cdemo_sk = cd_demo_sk Join date_dim On ss_sold_date_sk = d_date_sk Join item On ss_item_sk = i_item_sk Join promotion On ss_promo_sk = p_promo_sk Where cd_education_status = '4 yr Degree' And (p_channel_email = 'N' Or p_channel_event = 'N') And cd_marital_status = 'D' And d_year = 2002 And cd_gender = 'M' Group By i_item_id Order By i_item_id Limit 100 ) Select * From _q; | tpcds |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE it2.info = 'release dates' AND kt.id = t.kind_id AND t.id = mi.movie_id AND mi_idx.info < '3.5' AND at.movie_id = mi.movie_id AND mi_idx.movie_id = mc.movie_id AND mi.info LIKE 'USA:%200%' AND cn.id = mc.company_id AND at.movie_id = mi_idx.movie_id AND cn.country_code = '[us]' AND kt.kind = 'movie' AND t.id = mc.movie_id AND t.id = at.movie_id AND mi.movie_id = mi_idx.movie_id AND at.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND t.id = mi_idx.movie_id AND at.title LIKE '%Champion%' AND t.production_year > 2000 AND it1.id = mi_idx.info_type_id AND mi.movie_id = mc.movie_id AND it1.info = 'rating' | job |
SELECT MIN(t.title) AS voiced_movie, MIN(n.name) AS voicing_actress FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE t.production_year > 2000 AND cn.country_code = '[us]' AND t.id = ci.movie_id AND ci.role_id = rt.id AND mi.movie_id = mc.movie_id AND t.id = mc.movie_id AND mi.movie_id = ci.movie_id AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND cn.id = mc.company_id AND chn.id = ci.person_role_id AND it.info = 'release dates' AND n.gender = 'f' AND t.id = mi.movie_id AND it.id = mi.info_type_id AND ci.person_id = an.person_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND n.id = ci.person_id AND an.person_id = n.id | job |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND s_county IN ('Bronz County', 'Daviess County', 'Maricopa County') AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.79 AND hd_vehicle_count > 0 AND d_year IN (2000, 2002, 2003) GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
SELECT 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 o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_type = 1 ) AS all_nations AND c_nationkey = n1.n_nationkey AND o_custkey = c_custkey AND s_suppkey = l_suppkey AND l_orderkey = o_orderkey AND r_name = 1 AND p_partkey = l_partkey AND n1.n_regionkey = r_regionkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postHistory AS ph, votes AS v, users AS u WHERE p.OwnerUserId = ph.UserId AND c.UserId = p.OwnerUserId AND ph.UserId = v.UserId AND p.AnswerCount >= 0 AND u.Id = c.UserId AND p.Score <= 13 LIMIT 50; | 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 t.id = ci.movie_id AND n.name LIKE '%Downey%Robert%' AND k.keyword = 'marvel-cinematic-universe' AND n.id = ci.person_id AND t.production_year > 2010 AND ci.movie_id = mk.movie_id AND t.id = mk.movie_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 t.id = mc.movie_id AND cn.id = mc.company_id AND rt.role = 'actor' AND t.production_year > 2005 AND ct.id = mc.company_type_id AND rt.id = ci.role_id AND cn.country_code = '[ru]' AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND ci.note LIKE '%(voice)%' AND ci.note LIKE '%(uncredited)%' | job |
SELECT cnt, c_preferred_cust_flag, ss_ticket_number, c_last_name, c_salutation, c_first_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.85 AND d_year IN (2001, 2000, 2002) AND s_county IN ('Williamson County', 'Barrow County', 'Placer County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn INNER JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
Select Count(*) From comments As c, posts As p, votes As v, users As u Where u.Id = c.UserId And u.Id = v.UserId And c.Score = 0 And p.ViewCount >= 0 And u.Id = p.OwnerUserId And p.Score >= 0 | stats |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE k.keyword ='character-name-in-title' AND t.id = mk.movie_id AND mc.movie_id = t.id AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND cn.country_code ='[nl]' AND cn.id = mc.company_id | job |
select i_brand_id as brand_id, i_brand as brand, sum(ss_ext_sales_price) as ext_price from date_dim inner join store_sales on d_date_sk = ss_sold_date_sk inner join item on ss_item_sk = i_item_sk where d_year = 2000 and d_moy = 11 and i_manager_id = 84 group by i_brand, i_brand_id order by ext_price asc, brand_id 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 o_orderkey = l_orderkey AND l_shipmode In (1, 1) AND l_commitdate < l_receiptdate AND l_shipdate < l_commitdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_receiptdate >= DATE 1 Group By l_shipmode Order By l_shipmode | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE o_orderdate < DATE 1 + INTERVAL '1' YEAR AND s_nationkey = n_nationkey AND o_orderdate >= DATE 1 AND r_name = 1 AND n_regionkey = r_regionkey AND l_suppkey = s_suppkey AND l_orderkey = o_orderkey AND c_nationkey = s_nationkey AND c_custkey = o_custkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE 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 n_name = 1 AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND l1.l_receiptdate > l1.l_commitdate AND o_orderstatus = 'F' GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE k.keyword ='character-name-IN-title' AND mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND mk.keyword_id = k.id AND t.id = mk.movie_id AND cn.country_code ='[de]' AND cn.id = mc.company_id | job |
Select Min(k.keyword) As movie_keyword, Min(n.name) As actor_name, Min(t.title) As marvel_movie From cast_info As ci, keyword As k, movie_keyword As mk, name As n, title As t Where t.production_year > 2010 AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' AND n.name Like '%Hemsworth%Chris%' AND t.id = mk.movie_id AND n.id = ci.person_id | job |
SELECT p_size, p_type, p_brand, 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_partkey = ps_partkey AND p_brand <> 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_type NOT LIKE 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT AVG(ss_quantity) AS agg1, AVG(ss_sales_price) AS agg4, AVG(ss_list_price) AS agg2, AVG(ss_coupon_amt) AS agg3, 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 d_year = 2002 AND cd_marital_status = 'D' AND cd_gender = 'M' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = '4 yr Degree' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT c_first_name, cnt, c_salutation, c_preferred_cust_flag, c_last_name, ss_ticket_number FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_year IN (1999, 2001, 2002) AND hd_vehicle_count > 0 AND d_dom BETWEEN 1 AND 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND s_county IN ('Williamson County', 'Daviess County', 'Oglethorpe County', 'Maricopa County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT l_orderkey, o_shippriority, SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate FROM customer, orders, lineitem WHERE o_orderdate < DATE 1 AND c_mktsegment = 1 AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND l_shipdate > DATE 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | 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 ( (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 l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_suppkey = l_suppkey AND o_orderkey = l_orderkey AND c_nationkey = n2.n_nationkey AND s_nationkey = n1.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | 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 n.id = pi.person_id AND an.name Like '%a%' AND ml.linked_movie_id = t.id AND lt.link = 'features' AND it.info = 'mini biography' AND (n.gender = 'm' Or (n.gender = 'f' And n.name Like 'B%')) AND it.id = pi.info_type_id AND ci.movie_id = ml.linked_movie_id AND t.production_year BETWEEN 1980 AND 1995 AND t.id = ci.movie_id AND ci.person_id = n.id AND lt.id = ml.link_type_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.person_id = an.person_id AND n.id = an.person_id AND pi.note = 'Volker Boehm' | job |
select c_first_name, c_preferred_cust_flag, c_salutation, ss_ticket_number, c_last_name, cnt from ( select ss_ticket_number, ss_customer_sk, count(*) as cnt from store_sales join date_dim on ss_sold_date_sk = d_date_sk join store on ss_store_sk = s_store_sk join household_demographics on ss_hdemo_sk = hd_demo_sk where d_year in (1999, 2000, 2003) and hd_vehicle_count > 0 and (hd_buy_potential = '1001-5000' or hd_buy_potential = '5001-10000') and s_county in ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') and d_dom between 1 and 2 group by ss_ticket_number, ss_customer_sk ) as dj join customer on ss_customer_sk = c_customer_sk where cnt between 1 and 5 order by cnt desc limit 1000; | tpcds |
select 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.Score <= 40 AND p.Id = v.PostId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 AND b.UserId = u.Id AND p.Id = pl.RelatedPostId AND p.Id = c.PostId AND c.UserId = u.Id | stats |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, users AS u, badges AS b WHERE ph.PostHistoryTypeId = 3 AND ph.UserId = u.Id AND p.Score >= -7 AND u.Id = b.UserId AND p.OwnerUserId = u.Id AND u.Reputation >= 1 LIMIT 1000; | stats |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.id = mc.company_type_id AND t.id = mi.movie_id AND it.id = mi.info_type_id AND ct.kind = 'production companies' 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.info = 'bottom 10 rank' AND mc.movie_id = mi.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 ci.note LIKE '%(voice: English version)%' AND ci.movie_id = mc.movie_id AND t.id = ci.movie_id AND mk.movie_id = ci.movie_id AND cn.id = mc.company_id AND t.production_year > 1990 AND cn.country_code = '[jp]' AND t.id = mk.movie_id AND rt.role = 'actress' AND mk.movie_id = mc.movie_id AND t.id = mc.movie_id AND k.keyword = 'anime' AND an.person_id = n.id AND n.id = ci.person_id AND ci.person_id = an.person_id AND n.gender = 'f' AND mc.note LIKE '%(Japan)%' AND mc.note NOT LIKE '%(USA)%' AND k.id = mk.keyword_id AND ct.id = mc.company_type_id AND ci.role_id = rt.id | job |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, posts AS p, users AS u WHERE p.FavoriteCount >= 0 ) SELECT * FROM _q AND u.Id = p.OwnerUserId AND p.CommentCount >= 0 AND c.UserId = u.Id AND c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND p.ViewCount >= 0 | stats |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE p.Score <= 192 AND p.Id = v.PostId AND p.Id = c.PostId AND u.Id = p.OwnerUserId AND p.Id = ph.PostId AND u.Id = b.UserId AND p.ViewCount >= 0 | stats |
Select Avg(ss_sales_price) As agg4, Avg(ss_coupon_amt) As agg3, Avg(ss_quantity) As agg1, i_item_id, Avg(ss_list_price) As agg2 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 = 'F' And cd_marital_status = 'W' And cd_education_status = 'Secondary' And (p_channel_email = 'N' Or p_channel_event = 'N') And d_year = 2000 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 mc.movie_id = mk.movie_id AND k.keyword ='character-name-In-title' AND cn.country_code ='[de]' AND mk.keyword_id = k.id AND cn.id = mc.company_id AND t.id = mk.movie_id AND mc.movie_id = t.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 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_suppkey = l_suppkey AND o_orderkey = l_orderkey AND s_nationkey = n1.n_nationkey AND c_nationkey = n2.n_nationkey AND c_custkey = o_custkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE p_partkey = l_partkey AND ps_suppkey = l_suppkey AND ps_partkey = l_partkey AND s_suppkey = l_suppkey AND s_nationkey = n_nationkey AND o_orderkey = l_orderkey AND p_name LIKE 1 ) AS profit GROUP BY nation, o_year ORDER BY nation, o_year ASC | tpch |
SELECT l_linestatus, COUNT(*) AS count_order, SUM(l_extendedprice) AS sum_base_price, AVG(l_quantity) AS avg_qty, AVG(l_extendedprice) AS avg_price, l_returnflag, AVG(l_discount) AS avg_disc, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge 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 n_name, sum(l_extendedprice * (1 - l_discount)) as revenue from customer, orders, lineitem, supplier, nation, region where c_nationkey = s_nationkey AND c_custkey = o_custkey AND s_nationkey = n_nationkey AND l_orderkey = o_orderkey AND r_name = 1 AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND o_orderdate >= DATE 1 AND n_regionkey = r_regionkey AND l_suppkey = s_suppkey group by n_name order by revenue desc | 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 it1.info = 'rating' AND mi.movie_id = mi_idx.movie_id AND it2.info = 'release dates' AND at.movie_id = mc.movie_id AND mi.info LIKE 'USA:%200%' AND kt.id = t.kind_id AND cn.country_code = '[us]' AND at.movie_id = mi.movie_id AND t.production_year > 2000 AND cn.id = mc.company_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND kt.kind = 'movie' AND at.title LIKE '%Champion%' AND it1.id = mi_idx.info_type_id AND mi_idx.info < '3.5' AND t.id = mi.movie_id AND at.movie_id = mi_idx.movie_id AND it2.id = mi.info_type_id AND t.id = at.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mc.movie_id | job |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') AND d_dom <= 2 AND d_year IN (2001, 2001, 2001) AND hd_vehicle_count > 0 AND d_dom >= 1 GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt >= 1 AND cnt <= 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE n1.id = ci.person_id AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(Japan)%' AND ci.role_id = rt.id AND an1.person_id = n1.id AND n1.name LIKE '%Yo%' AND ci.note = '(voice: English version)' AND ci.movie_id = t.id AND rt.role = 'actress' AND t.id = mc.movie_id AND n1.name NOT LIKE '%Yu%' AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND an1.person_id = ci.person_id AND cn.country_code = '[jp]' | job |
SELECT s_phone, s_suppkey, s_name, s_address, total_revenue FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MIN(total_revenue) FROM revenue0 ) ORDER BY s_suppkey | tpch |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE 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 r_name = 1 AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND p_type LIKE 1 AND p_partkey = ps_partkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, users AS u, badges AS b WHERE ph.PostHistoryTypeId = 3 AND ph.UserId = u.Id AND u.Id = b.UserId AND p.OwnerUserId = u.Id AND u.Reputation >= 1 AND p.Score >= -7 LIMIT 100; | stats |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE n_regionkey = r_regionkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND c_custkey = o_custkey AND s_nationkey = n_nationkey AND l_orderkey = o_orderkey AND c_nationkey = s_nationkey AND o_orderdate >= DATE 1 AND r_name = 1 AND l_suppkey = s_suppkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT p_brand, p_type, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_size FROM partsupp, part WHERE 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%' ) 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(an1.name) as actress_pseudonym, min(t.title) as japanese_movie_dubbed from aka_name as an1, cast_info as ci, company_name as cn, movie_companies as mc, name as n1, role_type as rt, title as t where rt.role = 'actress' AND ci.note = '(voice: English version)' AND n1.name not like '%Yu%' AND mc.note like '%(Japan)%' AND mc.note not like '%(USA)%' AND an1.person_id = n1.id AND mc.company_id = cn.id AND n1.name like '%Yo%' AND cn.country_code = '[jp]' AND ci.movie_id = mc.movie_id AND n1.id = ci.person_id AND ci.role_id = rt.id AND an1.person_id = ci.person_id AND t.id = mc.movie_id AND ci.movie_id = t.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 t.id = mk.movie_id AND t.id = mc.movie_id AND k.keyword = 'character-name-in-title' AND ci.movie_id = mk.movie_id AND mc.company_id = cn.id AND mk.keyword_id = k.id AND an.person_id = n.id AND ci.movie_id = t.id AND n.id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND mc.movie_id = mk.movie_id AND t.episode_nr < 100 AND t.episode_nr >= 50 AND cn.country_code = '[us]' | job |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE n.id = pi.person_id AND t.production_year BETWEEN 1980 AND 1995 AND ci.movie_id = ml.linked_movie_id AND pi.note = 'Volker Boehm' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND it.id = pi.info_type_id AND t.id = ci.movie_id AND an.name LIKE '%a%' AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND n.id = an.person_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND ci.person_id = n.id AND an.person_id = ci.person_id AND it.info = 'mini biography' AND lt.link = 'features' | job |
Select Min(k.keyword) As movie_keyword, Min(n.name) As actor_name, Min(t.title) As marvel_movie From cast_info As ci, keyword As k, movie_keyword As mk, name As n, title As t Where t.id = mk.movie_id And n.name Like '%Downey%Robert%' And t.id = ci.movie_id And ci.movie_id = mk.movie_id And n.id = ci.person_id And t.production_year > 2010 And k.keyword = 'marvel-cinematic-universe' And k.id = mk.keyword_id | job |
SELECT AVG(l_discount) AS avg_disc, l_linestatus, SUM(l_extendedprice) AS sum_base_price, AVG(l_quantity) AS avg_qty, COUNT(*) AS count_order, l_returnflag, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, 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 | tpch |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE ci.movie_id = t.id AND t.episode_nr < 100 AND mk.keyword_id = k.id AND ci.movie_id = mk.movie_id AND t.episode_nr >= 50 AND cn.country_code = '[us]' AND n.id = ci.person_id AND ci.movie_id = mc.movie_id AND an.person_id = ci.person_id AND k.keyword = 'character-name-in-title' AND mc.company_id = cn.id AND an.person_id = n.id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id | job |
select min(mi_idx.info) as rating, min(t.title) as northamerican_movie from aka_title as at, company_name as cn, info_type as it1, info_type as it2, kind_type as kt, movie_companies as mc, movie_info as mi, movie_info_idx as mi_idx, title as t where t.id = mi_idx.movie_id and cn.id = mc.company_id and at.movie_id = mi_idx.movie_id and it2.info = 'release dates' and t.id = at.movie_id and mi.movie_id = mi_idx.movie_id and mi_idx.info < '3.5' and it1.info = 'rating' and mi.movie_id = mc.movie_id and at.title like '%Champion%' and t.id = mi.movie_id and mi.info like 'USA:%200%' and kt.id = t.kind_id and it1.id = mi_idx.info_type_id and kt.kind = 'movie' and t.id = mc.movie_id and mi_idx.movie_id = mc.movie_id and it2.id = mi.info_type_id and at.movie_id = mi.movie_id and at.movie_id = mc.movie_id and t.production_year > 2000 and cn.country_code = '[us]' | 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 mc.note LIKE '%(Japan)%' AND t.id = mk.movie_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND n.gender = 'f' AND ci.note LIKE '%(voice: English version)%' AND cn.country_code = '[jp]' AND t.production_year > 1990 AND t.id = mc.movie_id AND t.id = ci.movie_id AND k.keyword = 'anime' AND ci.person_id = an.person_id AND ci.movie_id = mc.movie_id AND mk.movie_id = ci.movie_id AND ci.role_id = rt.id AND an.person_id = n.id AND rt.role = 'actress' AND mk.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND k.id = mk.keyword_id AND n.id = ci.person_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, votes AS v WHERE c.PostId = pl.PostId AND p.Id = c.PostId AND pl.PostId = v.PostId AND p.Score >= -3 AND v.VoteTypeId = 2 AND c.CreationDate >= '2010-08-02 23:52:10'::timestamp LIMIT 200; | stats |
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.Score <= 40 and p.Id = pl.RelatedPostId and b.UserId = u.Id and c.UserId = u.Id and p.Id = ph.PostId and pl.LinkTypeId = 1 and p.Id = v.PostId and p.Id = c.PostId | stats |
SELECT MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year, MIN(mc.note) AS production_note 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 it.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' AND t.id = mc.movie_id AND t.id = mi_idx.movie_id 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 | job |
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 ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_partkey = ps_partkey AND p_size = ANY(ARRAY[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 AVG(sr_return_quantity) AS store_returns_quantityave, AVG(cs_quantity) AS catalog_sales_quantityave, 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(ss_quantity) AS store_sales_quantitystdev, COUNT(ss_quantity) AS store_sales_quantitycount, i_item_desc, s_state, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_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', '2002Q2', '1999Q4') AND d3.d_quarter_name IN ('2001Q1', '2002Q2', '1999Q4') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
select l_shipmode, sum( case when o_orderpriority = '1-URGENT' or o_orderpriority = '2-HIGH' then 1 else 0 end ) as high_line_count, sum( case when o_orderpriority <> '1-URGENT' and o_orderpriority <> '2-HIGH' then 1 else 0 end ) as low_line_count from orders, lineitem where l_shipdate < l_commitdate and l_receiptdate >= DATE 1 and o_orderkey = l_orderkey and l_receiptdate < DATE 1 + INTERVAL '1' YEAR and l_shipmode in (1, 1) and l_commitdate < l_receiptdate group by l_shipmode order by l_shipmode | tpch |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE it.id = mi.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND ct.kind = 'production companies' AND it.info = 'bottom 10 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.movie_id = mi.movie_id AND t.id = mi.movie_id | job |
SELECT p_size, p_type, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_brand FROM partsupp, part WHERE p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_partkey = ps_partkey AND p_type NOT LIKE 1 AND p_brand <> 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT extended_tax, ss_ticket_number, c_first_name, c_last_name, list_price, bought_city, ca_city, extended_price FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (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; | tpcds |
SELECT SUM(l_quantity) AS sum_qty, AVG(l_quantity) AS avg_qty, l_linestatus, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_discount) AS avg_disc, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, l_returnflag, COUNT(*) AS count_order, SUM(l_extendedprice) AS sum_base_price, AVG(l_extendedprice) AS avg_price FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT MAX(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.id = mc.company_id AND mk.keyword_id = k.id AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND cn.country_code ='[de]' AND mc.movie_id = t.id AND k.keyword ='character-name-in-title' | job |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where t.production_year > 2000 and mk.movie_id = mi.movie_id and t.id = mk.movie_id and k.id = mk.keyword_id and mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German']) and t.id = mi.movie_id and k.keyword like '%sequel%' | job |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND t.id = mi.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND kt.id = t.kind_id AND it1.id = mi.info_type_id AND t.id = mc.movie_id AND t.production_year > 2008 AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND mi_idx.info < '7.0' AND mk.movie_id = mi.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND cn.country_code != '[us]' AND k.id = mk.keyword_id AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND kt.kind IN ('movie', 'episode') AND mk.movie_id = mi_idx.movie_id AND it1.info = 'countries' AND it2.info = 'rating' AND mc.note LIKE '%(200%)%' AND it2.id = mi_idx.info_type_id | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = mk.movie_id AND cn.country_code ='[sm]' AND k.keyword ='character-name-in-title' AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = t.id AND cn.id = mc.company_id LIMIT 100; | 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 t.id = mi.movie_id AND it2.info = 'release dates' AND kt.kind = 'movie' AND mi_idx.info < '3.5' AND at.movie_id = mi_idx.movie_id AND at.movie_id = mi.movie_id AND t.id = mi_idx.movie_id AND at.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND at.title LIKE '%Champion%' AND mi.info LIKE 'USA:%200%' AND mi_idx.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND t.id = mc.movie_id AND cn.id = mc.company_id AND cn.country_code = '[us]' AND t.id = at.movie_id AND it1.id = mi_idx.info_type_id AND it1.info = 'rating' AND t.production_year > 2000 AND kt.id = t.kind_id LIMIT 200; | job |
WITH _q AS ( 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 > 2010 AND t.id = mi.movie_id AND k.id = mk.keyword_id ) SELECT * FROM _q AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND k.keyword LIKE '%sequel%' LIMIT 50; | 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 cn.country_code != '[us]' AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = mi.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND kt.kind IN ('movie', 'episode') AND t.id = mc.movie_id AND k.id = mk.keyword_id AND mc.note LIKE '%(200%)%' AND cn.id = mc.company_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mc.movie_id = mi_idx.movie_id AND mi_idx.info < '7.0' AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = mi.movie_id AND it2.info = 'rating' AND it1.info = 'countries' AND it1.id = mi.info_type_id AND t.id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND t.production_year > 2008 AND it2.id = mi_idx.info_type_id AND mk.movie_id = mc.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id | job |
select s_address, p_mfgr, s_phone, n_name, p_partkey, s_comment, s_acctbal, s_name from part, supplier, partsupp, nation, region where p_partkey = ps_partkey and s_suppkey = ps_suppkey and p_size = 1 and p_type like 1 and s_nationkey = n_nationkey and n_regionkey = r_regionkey and r_name = 1 and ps_supplycost = ( select min(ps_supplycost) from partsupp, supplier, nation, region where p_partkey = ps_partkey and s_suppkey = ps_suppkey and s_nationkey = n_nationkey and n_regionkey = r_regionkey and r_name = 1 ) order by s_acctbal desc, n_name, s_name, p_partkey limit 100 | tpch |
SELECT MIN(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 mc.note NOT LIKE '%(USA)%' AND t.production_year > 1990 AND t.id = mk.movie_id AND ci.note LIKE '%(voice: English version)%' AND t.id = mc.movie_id AND mk.movie_id = ci.movie_id AND k.keyword = 'anime' AND an.person_id = n.id AND n.id = ci.person_id AND rt.role = 'actress' AND k.id = mk.keyword_id AND n.gender = 'f' AND ct.id = mc.company_type_id AND ci.role_id = rt.id AND ci.movie_id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND t.id = ci.movie_id AND cn.country_code = '[jp]' AND mk.movie_id = mc.movie_id AND cn.id = mc.company_id AND ci.person_id = an.person_id | job |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE s_gmt_offset = -7 AND d_moy = 8 ) AS all_sales AND d_year = 1998 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -7 AND i_category = 'Music' AND ca_gmt_offset = -7 AND d_year = 1998 AND d_moy = 8 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -7 AND i_category = 'Music' ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE t.id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND cn.country_code != '[us]' AND t.id = mi.movie_id AND mc.note LIKE '%(200%)%' AND mk.movie_id = mi.movie_id AND mi.movie_id = mi_idx.movie_id AND it1.id = mi.info_type_id AND t.production_year > 2008 AND ct.id = mc.company_type_id AND t.id = mk.movie_id AND it2.id = mi_idx.info_type_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND k.id = mk.keyword_id AND mk.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND mk.movie_id = mc.movie_id AND it1.info = 'countries' AND it2.info = 'rating' AND cn.id = mc.company_id AND mc.movie_id = mi_idx.movie_id AND mi_idx.info < '7.0' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND kt.kind IN ('movie', 'episode') | job |
SELECT AVG(cs_list_price) AS agg2, AVG(cs_coupon_amt) AS agg3, i_item_id, AVG(cs_quantity) AS agg1, 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 = 2000 AND cd_marital_status = 'W' AND cd_education_status = 'Advanced Degree' AND cd_gender = 'M' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
Select s_name, s_phone, total_revenue, s_suppkey, s_address From supplier, revenue0 Where s_suppkey = supplier_no AND total_revenue = ( Select MIN(total_revenue) From revenue0 ) Order By s_suppkey | tpch |
Select Min(an.name) As cool_actor_pseudonym, Min(t.title) As series_named_after_char From aka_name As an, cast_info As ci, company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, name As n, title As t Where t.id = mk.movie_id And t.episode_nr < 100 And an.person_id = ci.person_id And n.id = ci.person_id And k.keyword = 'character-name-In-title' And mc.company_id = cn.id And an.person_id = n.id And mc.movie_id = mk.movie_id And ci.movie_id = t.id And ci.movie_id = mc.movie_id And cn.country_code = '[us]' And ci.movie_id = mk.movie_id And t.id = mc.movie_id And t.episode_nr >= 50 And mk.keyword_id = k.id LIMIT 200; | job |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_commitdate < l_receiptdate AND l_shipdate < l_commitdate AND l_shipmode IN (1, 1) AND l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 200; | tpch |
select i_item_id, i_item_desc, s_store_id, s_store_name, sum(ss_quantity) as store_sales_quantity, sum(sr_return_quantity) as store_returns_quantity, sum(cs_quantity) as catalog_sales_quantity from store_sales inner join store_returns on ss_customer_sk = sr_customer_sk and ss_item_sk = sr_item_sk and ss_ticket_number = sr_ticket_number inner join catalog_sales on sr_customer_sk = cs_bill_customer_sk and sr_item_sk = cs_item_sk inner join date_dim as d1 on ss_sold_date_sk = d1.d_date_sk inner join date_dim as d2 on sr_returned_date_sk = d2.d_date_sk inner join date_dim as d3 on cs_sold_date_sk = d3.d_date_sk inner join store on ss_store_sk = s_store_sk inner join item on ss_item_sk = i_item_sk where d1.d_moy = 3 and d3.d_moy between 3 and 3 + 3 and d3.d_year = 2001 and d2.d_moy between 3 and 3 + 3 and d1.d_year = 2001 and d2.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 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 = v.PostId AND p.Id = ph.PostId AND c.Score = 0 AND p.Id = c.PostId AND b.UserId = c.UserId AND p.Id = pl.RelatedPostId | stats |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE n.id = ci.person_id AND ci.movie_id = mc.movie_id AND t.episode_nr >= 50 AND t.episode_nr < 100 AND t.id = mc.movie_id AND ci.movie_id = mk.movie_id AND mk.keyword_id = k.id AND k.keyword = 'character-name-in-title' AND an.person_id = n.id AND cn.country_code = '[us]' AND t.id = mk.movie_id AND ci.movie_id = t.id AND mc.movie_id = mk.movie_id AND an.person_id = ci.person_id AND mc.company_id = cn.id | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT MIN(t.title) AS movie_title, MIN(mc.note) AS production_note, 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.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 mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id | job |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE r_name = 1 AND s_nationkey = n_nationkey AND p_partkey = ps_partkey AND p_size = 1 AND s_suppkey = ps_suppkey AND n_regionkey = r_regionkey AND p_type LIKE 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'rating' AND miidx.movie_id = t.id AND it2.info = 'release dates' AND cn.country_code = '[de]' AND it.id = miidx.info_type_id AND kt.id = t.kind_id AND mi.movie_id = miidx.movie_id AND kt.kind = 'movie' AND ct.id = mc.company_type_id AND mi.movie_id = t.id AND cn.id = mc.company_id AND mc.movie_id = t.id AND miidx.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND mi.movie_id = mc.movie_id | job |
WITH _q AS ( 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 mc.note LIKE '%(USA)%' AND ci.role_id = rt.id AND n.id = ci.person_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND n.gender = 'f' AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND mi.movie_id = ci.movie_id AND t.id = mi.movie_id AND cn.country_code = '[us]' AND it.id = mi.info_type_id AND t.id = mc.movie_id AND cn.id = mc.company_id AND chn.id = ci.person_role_id AND t.production_year > 2000 AND t.id = ci.movie_id AND an.person_id = n.id AND it.info = 'release dates' AND ci.person_id = an.person_id AND mi.movie_id = mc.movie_id ) SELECT * FROM _q; | job |
select avg(cs_list_price) as agg2, avg(cs_coupon_amt) as agg3, avg(cs_sales_price) as agg4, avg(cs_quantity) as agg1, i_item_id from catalog_sales inner join customer_demographics on cs_bill_cdemo_sk = cd_demo_sk inner join date_dim on cs_sold_date_sk = d_date_sk inner join item on cs_item_sk = i_item_sk inner join promotion on cs_promo_sk = p_promo_sk where cd_gender = 'F' and cd_marital_status = 'S' and cd_education_status = 'Advanced Degree' and (p_channel_email = 'N' or p_channel_event = 'N') and d_year = 1999 group by i_item_id order by i_item_id 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 n.gender = 'f' AND mc.note LIKE '%(Japan)%' AND ci.person_id = an.person_id AND mk.movie_id = ci.movie_id AND t.id = ci.movie_id AND t.id = mc.movie_id AND cn.id = mc.company_id AND an.person_id = n.id AND ci.role_id = rt.id AND ci.movie_id = mc.movie_id AND t.id = mk.movie_id AND ct.id = mc.company_type_id AND ci.note LIKE '%(voice: English version)%' AND k.id = mk.keyword_id AND n.id = ci.person_id AND mc.note NOT LIKE '%(USA)%' AND rt.role = 'actress' AND mk.movie_id = mc.movie_id AND cn.country_code = '[jp]' AND k.keyword = 'anime' AND t.production_year > 1990 | job |
WITH _q AS ( 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.production_year > 2005 AND k.id = mk.keyword_id ) SELECT * FROM _q AND t.id = mk.movie_id AND t.id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', '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 n.id = ci.person_id AND mk.keyword_id = k.id AND an.person_id = n.id AND mc.movie_id = mk.movie_id AND cn.country_code = '[us]' AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND t.episode_nr < 100 AND mc.company_id = cn.id AND ci.movie_id = t.id AND k.keyword = 'character-name-in-title' AND an.person_id = ci.person_id AND t.episode_nr >= 50 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 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 = -6 AND s_gmt_offset = -6 AND d_moy = 12 ) AS all_sales AND ca_gmt_offset = -6 AND d_year = 2002 AND i_category = 'Jewelry' AND i_category = 'Jewelry' AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_year = 2002 AND d_moy = 12 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -6 ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT c_last_name, cnt, ss_ticket_number, c_first_name, c_salutation, c_preferred_cust_flag FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_year IN (1999, 2002, 2001) AND s_county IN ('Williamson County', 'Jefferson County', 'Jackson County', 'Champaign County') AND hd_vehicle_count > 0 AND d_dom BETWEEN 1 AND 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') 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 ASC LIMIT 1000; | 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 t.production_year > 2010 AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.keyword LIKE '%sequel%' AND t.id = mk.movie_id AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id LIMIT 200; | job |
SELECT p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_brand FROM partsupp, part WHERE p_brand <> 1 AND p_type NOT LIKE 1 AND p_partkey = ps_partkey AND 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) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt ASC, p_brand, p_type, p_size | tpch |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE p_size = 1 AND p_partkey = ps_partkey AND p_type LIKE 1 AND s_suppkey = ps_suppkey AND r_name = 1 AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT SUM(ss_ext_sales_price) AS ext_price, dt.d_year, item.i_brand AS brand, item.i_brand_id AS brand_id FROM date_dim AS dt INNER JOIN store_sales ON dt.d_date_sk = store_sales.ss_sold_date_sk INNER JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE item.i_manager_id = 67 AND dt.d_moy = 11 AND dt.d_year = 1999 GROUP BY dt.d_year, item.i_brand, item.i_brand_id ORDER BY dt.d_year, ext_price DESC, brand_id LIMIT 100; | tpcds |
SELECT MAX(t.title) AS russian_movie, MAX(chn.name) AS uncredited_voiced_character FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE t.id = ci.movie_id AND cn.id = mc.company_id AND t.id = mc.movie_id AND rt.role = 'actor' AND rt.id = ci.role_id AND ct.id = mc.company_type_id AND ci.movie_id = mc.movie_id AND cn.country_code = '[ru]' AND ci.note LIKE '%(voice)%' AND t.production_year > 2005 AND chn.id = ci.person_role_id AND ci.note LIKE '%(uncredited)%' | job |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND it.info = 'release dates' AND mi.movie_id = ci.movie_id AND t.production_year > 2000 AND n.id = ci.person_id AND mi.movie_id = mc.movie_id AND it.id = mi.info_type_id AND ci.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND cn.country_code = '[us]' AND n.gender = 'f' AND cn.id = mc.company_id AND an.person_id = n.id AND rt.role = 'actress' AND chn.id = ci.person_role_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.person_id = an.person_id AND ci.role_id = rt.id AND t.id = mi.movie_id | job |
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