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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 (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' AND it.info = 'top 250 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
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 pi.note = 'Volker Boehm' AND it.info = 'mini biography' AND t.id = ci.movie_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND t.production_year BETWEEN 1980 AND 1995 AND pi.person_id = an.person_id AND it.id = pi.info_type_id AND n.id = pi.person_id AND n.id = an.person_id AND pi.person_id = ci.person_id AND lt.id = ml.link_type_id AND lt.link = 'features' AND an.name LIKE '%a%' AND ci.movie_id = ml.linked_movie_id AND ml.linked_movie_id = t.id AND ci.person_id = n.id AND an.person_id = ci.person_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 s_nationkey = n_nationkey AND p_type LIKE 1 AND r_name = 1 AND n_regionkey = r_regionkey AND s_suppkey = ps_suppkey AND p_size = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_partkey = ps_partkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_suppkey = l1.l_suppkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND l1.l_receiptdate > l1.l_commitdate AND o_orderkey = l1.l_orderkey AND s_nationkey = n_nationkey AND n_name = 1 AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND o_orderstatus = 'F' GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.FavoriteCount >= 0 AND p.Id = c.PostId AND c.Score = 0 AND p.Id = v.PostId AND p.Id = pl.PostId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 ) SELECT * FROM _q | stats |
select cnt, ss_ticket_number, c_last_name, c_preferred_cust_flag, c_salutation, c_first_name from ( select ss_ticket_number, ss_customer_sk, count(*) as cnt from store_sales join date_dim on ss_sold_date_sk = d_date_sk join store on ss_store_sk = s_store_sk join household_demographics on ss_hdemo_sk = hd_demo_sk where d_dom >= 1 and d_dom <= 2 and (hd_buy_potential = '1001-5000' or hd_buy_potential = '5001-10000') and hd_vehicle_count > 0 and d_year in (1999, 2000, 2003) and s_county in ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') group by ss_ticket_number, ss_customer_sk ) as dj join customer on ss_customer_sk = c_customer_sk where cnt between 1 and 5 order by cnt desc limit 1000; | tpcds |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE mc.company_id = cn.id AND n1.id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = t.id AND cn.country_code = '[jp]' AND mc.note LIKE '%(Japan)%' AND n1.name NOT LIKE '%Yu%' AND rt.role = 'actress' AND ci.role_id = rt.id AND n1.name LIKE '%Yo%' AND mc.note NOT LIKE '%(USA)%' AND an1.person_id = n1.id AND an1.person_id = ci.person_id AND ci.note = '(voice: English version)' AND t.id = mc.movie_id | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mi.movie_id AND k.keyword LIKE '%sequel%' AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 | 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 ci.movie_id = mk.movie_id AND t.production_year > 2010 AND t.id = ci.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND t.id = mk.movie_id AND n.id = ci.person_id AND k.keyword = 'marvel-cinematic-universe' 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 t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND t.production_year > 2010 AND n.id = ci.person_id AND k.keyword = 'marvel-cinematic-universe' AND k.id = mk.keyword_id AND n.name LIKE '%Downey%Robert%' | job |
SELECT i_current_price, i_item_id, i_item_desc FROM item JOIN inventory ON i_item_sk = inv_item_sk JOIN date_dim ON d_date_sk = inv_date_sk JOIN catalog_sales ON cs_item_sk = i_item_sk WHERE i_current_price BETWEEN 83 AND 83 + 30 AND d_date BETWEEN CAST('2002-01-23' AS DATE) AND (CAST('2002-01-23' AS DATE) + INTERVAL '60 days') AND i_manufact_id IN (325, 323, 405, 311) AND inv_quantity_on_hand BETWEEN 100 AND 500 GROUP BY i_item_id, i_item_desc, i_current_price ORDER BY i_item_id; | 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_suppkey = l_suppkey AND ps_suppkey = l_suppkey AND ps_partkey = l_partkey AND p_partkey = l_partkey AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey AND p_name LIKE 1 ) AS profit GROUP BY nation, o_year ORDER BY nation, o_year ASC LIMIT 10; | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND it.info = 'top 250 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
SELECT SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share, o_year FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE p_type = 1 ) AS all_nations AND s_nationkey = n2.n_nationkey AND s_suppkey = l_suppkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_partkey = l_partkey AND o_custkey = c_custkey AND r_name = 1 AND n1.n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND c_nationkey = n1.n_nationkey GROUP BY o_year ORDER BY o_year | 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 ci.movie_id = t.id AND mc.movie_id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND k.keyword = 'character-name-in-title' AND ci.movie_id = mk.movie_id AND t.episode_nr < 100 AND mk.keyword_id = k.id AND an.person_id = n.id AND cn.country_code = '[us]' AND mc.company_id = cn.id AND an.person_id = ci.person_id AND t.episode_nr >= 50 AND n.id = ci.person_id | job |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE kt.id = t.kind_id AND cn.country_code != '[us]' AND it1.info = 'countries' AND mk.movie_id = mi_idx.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it2.id = mi_idx.info_type_id AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND it2.info = 'rating' AND mk.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(USA)%' AND kt.kind IN ('movie', 'episode') AND t.id = mi_idx.movie_id AND t.production_year > 2008 AND mi.movie_id = mi_idx.movie_id AND mi_idx.info < '7.0' AND t.id = mk.movie_id AND mc.note LIKE '%(200%)%' AND cn.id = mc.company_id AND k.id = mk.keyword_id AND t.id = mc.movie_id AND mi.movie_id = mc.movie_id AND k.keyword = ANY(ARRAY['murder', 'murder-in-title', 'blood', 'violence']) AND it1.id = mi.info_type_id AND ct.id = mc.company_type_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 s_suppkey = ps_suppkey AND p_partkey = ps_partkey AND p_size = 1 AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND p_type LIKE 1 AND ps_supplycost = ( SELECT MAX(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND 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 rt.role = 'actress' AND mc.note NOT LIKE '%(USA)%' AND ci.note LIKE '%(voice: English version)%' AND t.id = ci.movie_id AND n.id = ci.person_id AND ci.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND k.id = mk.keyword_id AND mk.movie_id = ci.movie_id AND k.keyword = 'anime' AND an.person_id = n.id AND mc.note LIKE '%(Japan)%' AND cn.country_code = '[jp]' AND n.gender = 'f' AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND t.production_year > 1990 AND t.id = mc.movie_id AND ci.role_id = rt.id AND ci.person_id = an.person_id AND t.id = mk.movie_id | job |
SELECT COUNT(1) FROM comments AS c, postHistory AS ph, votes AS v, users AS u WHERE u.UpVotes <= 123 AND u.Id = v.UserId AND ph.UserId = c.UserId AND u.DownVotes >= 0 AND u.Views >= 0 AND v.UserId = ph.UserId | 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.Id = v.PostId AND p.Id = pl.RelatedPostId AND p.Id = ph.PostId AND b.UserId = u.Id AND p.Id = c.PostId AND p.Score <= 40 AND c.UserId = u.Id AND pl.LinkTypeId = 1 | stats |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE c_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey AND s_nationkey = n2.n_nationkey AND o_custkey = c_custkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_type = 1 ) AS all_nations AND r_name = 1 AND n1.n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND p_partkey = l_partkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT dt.d_year, item.i_brand AS brand, item.i_brand_id AS brand_id, SUM(ss_ext_sales_price) AS ext_price 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 = 11 AND dt.d_moy = 12 AND dt.d_year = 2001 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 100.00 * Sum( Case When p_type Like 'PROMO%' Then l_extendedprice * (1 - l_discount) Else 0 End ) / Sum(l_extendedprice * (1 - l_discount)) As promo_revenue From lineitem, part Where l_partkey = p_partkey AND l_shipdate < DATE 1 + INTERVAL '1' MONTH AND l_shipdate >= DATE 1 LIMIT 200; | 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.name LIKE '%Downey%Robert%' AND k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 AND n.id = ci.person_id AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND t.id = ci.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 chn.id = ci.person_role_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND ci.note LIKE '%(voice)%' AND cn.country_code = '[ru]' AND t.id = ci.movie_id AND ci.note LIKE '%(uncredited)%' AND rt.id = ci.role_id AND ci.movie_id = mc.movie_id AND t.production_year > 2005 AND rt.role = 'actor' | job |
SELECT s_suppkey, total_revenue, s_phone, s_address, s_name FROM supplier, revenue0 WHERE total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) AND s_suppkey = supplier_no ORDER BY s_suppkey 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 k.keyword LIKE '%sequel%' AND t.production_year > 2000 AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.id = mk.keyword_id AND t.id = mi.movie_id | job |
SELECT s_address, n_name, s_acctbal, p_partkey, s_comment, s_name, s_phone, p_mfgr FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT p_mfgr, s_address, s_phone, s_acctbal, n_name, s_name, p_partkey, s_comment FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_type LIKE 1 AND n_regionkey = r_regionkey AND p_size = 1 AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MAX(k.keyword) AS movie_keyword, MAX(n.name) AS actor_name, MAX(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.name LIKE '%Hemsworth%Chris%' AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND n.id = ci.person_id AND t.id = ci.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 p_partkey = l_partkey AND s_nationkey = n_nationkey AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey AND ps_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND s_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
select min(mc.note) as production_note, min(t.title) as movie_title, min(t.production_year) as movie_year from company_type as ct, info_type as it, movie_companies as mc, movie_info_idx as mi_idx, title as t where mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' 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 it.info = 'top 250 rank' AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE p.Id = c.PostId AND p.Id = ph.PostId AND b.UserId = u.Id AND p.Score <= 40 AND pl.LinkTypeId = 1 AND c.UserId = u.Id AND p.Id = pl.RelatedPostId AND p.Id = v.PostId | stats |
select sum(l_extendedprice * l_discount) as revenue from lineitem where l_quantity < 1 AND l_shipdate < DATE 1 + INTERVAL '1' YEAR AND l_shipdate >= DATE 1 AND l_discount BETWEEN 1 - 0.01 AND 1 + 0.01 | tpch |
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 ) LIMIT 500; | tpch |
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 mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
SELECT MAX(t.title) AS series_named_after_char, MAX(an.name) AS cool_actor_pseudonym FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'character-name-in-title' AND t.episode_nr >= 50 AND t.episode_nr < 100 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id LIMIT 1000; | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE p.Id = ph.PostId AND p.Id = c.PostId AND b.UserId = u.Id AND pl.LinkTypeId = 1 AND p.Id = v.PostId AND p.Id = pl.RelatedPostId AND c.UserId = u.Id AND p.Score <= 40 | stats |
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 it2.id = mi.info_type_id AND ct.kind = 'production companies' AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND kt.id = t.kind_id AND cn.country_code = '[de]' AND mi.movie_id = t.id AND miidx.movie_id = t.id AND it.info = 'rating' AND mc.movie_id = t.id AND cn.id = mc.company_id AND miidx.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND kt.kind = 'movie' AND ct.id = mc.company_type_id AND it2.info = 'release dates' | job |
SELECT SUM(cs_quantity) AS catalog_sales_quantity, s_store_id, SUM(ss_quantity) AS store_sales_quantity, i_item_desc, s_store_name, i_item_id, SUM(sr_return_quantity) AS store_returns_quantity FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_moy = 5 AND d1.d_year = 2000 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d2.d_year = 2000 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d3.d_year = 2000 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
Select Min(t.title) As movie_title From company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, title As t Where cn.country_code ='[de]' 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 mc.movie_id = mk.movie_id AND k.keyword ='character-name-In-title' | job |
SELECT SUM(l_quantity) AS sum_qty, AVG(l_extendedprice) AS avg_price, l_returnflag, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_quantity) AS avg_qty, l_linestatus, SUM(l_extendedprice) AS sum_base_price, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_discount) AS avg_disc FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
Select n_name, Sum(l_extendedprice * (1 - l_discount)) As revenue From customer, orders, lineitem, supplier, nation, region Where l_orderkey = o_orderkey And c_nationkey = s_nationkey And c_custkey = o_custkey And o_orderdate >= DATE 1 And o_orderdate < DATE 1 + INTERVAL '1' YEAR And s_nationkey = n_nationkey And r_name = 1 And l_suppkey = s_suppkey And n_regionkey = r_regionkey Group By n_name Order By revenue Desc | tpch |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE s_county IN ('Williamson County', 'Washington County', 'Placer County') AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.56 AND d_year IN (2000, 2000, 2003) AND hd_vehicle_count > 0 AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt ASC LIMIT 100; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE it.id = mi.info_type_id AND it.info = 'bottom 10 rank' AND ct.id = mc.company_type_id AND mc.movie_id = mi.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND t.id = mi.movie_id AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
SELECT SUM(amount) AS sum_profit, o_year, nation FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE p_name LIKE 1 ) AS profit AND s_suppkey = l_suppkey AND ps_suppkey = l_suppkey AND ps_partkey = l_partkey AND p_partkey = l_partkey AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword LIKE '%sequel%' AND t.production_year > 2010 AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mk.movie_id AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id LIMIT 20; | 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 t.id = mk.movie_id AND cn.id = mc.company_id AND k.keyword ='character-name-In-title' AND cn.country_code ='[nl]' AND mk.keyword_id = k.id AND mc.movie_id = t.id | job |
Select Min(lt.link) As link_type, Min(t.title) As western_sequel, Min(cn.name) As from_company From company_name As cn, company_type As ct, info_type As it, keyword As k, link_type As lt, movie_companies As mc, movie_info As mi, movie_keyword As mk, movie_link As ml, title As t Where mi.note Like '%internet%' AND t.production_year > 1950 AND t.id = mc.movie_id AND mc.note Not Like '%(As Metro-Goldwyn-Mayer Pictures)%' AND ml.movie_id = mi.movie_id AND mi.movie_id = t.id AND cn.country_code = '[us]' AND k.id = mk.keyword_id AND t.id = mk.movie_id AND it.id = mi.info_type_id AND lt.link Like '%follow%' AND it.info = 'release dates' AND cn.id = mc.company_id AND mc.note Like '%(USA)%' AND k.keyword In ('sequel', 'revenge', 'based-On-novel') AND ml.movie_id = mk.movie_id AND lt.id = ml.link_type_id AND ml.movie_id = mc.movie_id AND t.id = ml.movie_id AND ct.id = mc.company_type_id AND mi.info Like 'USA:% 199%' AND mk.movie_id = mc.movie_id | job |
Select cntrycode, Count(*) As numcust, Sum(c_acctbal) As totacctbal From ( Select SUBSTRING(c_phone From 1 FOR 2) As cntrycode, c_acctbal From customer Where Not Exists ( Select * From orders Where o_custkey = c_custkey ) ) As custsale AND SUBSTRING(c_phone From 1 FOR 2) In (1, 1, 1, 1, 1, 1, 1) AND c_acctbal > ( Select Avg(c_acctbal) From customer Where c_acctbal > 0.00 And SUBSTRING(c_phone From 1 FOR 2) In (1, 1, 1, 1, 1, 1, 1) ) Group By cntrycode Order By cntrycode | tpch |
select count(*) from postHistory as ph, posts as p, votes as v, badges as b, users as u, comments as c where p.Id = ph.PostId AND p.Score <= 192 AND u.Id = b.UserId AND p.Id = c.PostId AND p.Id = v.PostId AND u.Id = p.OwnerUserId AND p.ViewCount >= 0 | stats |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND n_name = 1 AND o_orderstatus = 'F' AND s_suppkey = l1.l_suppkey AND o_orderkey = l1.l_orderkey AND l1.l_receiptdate > l1.l_commitdate 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 EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT AVG(cs_list_price) AS agg2, AVG(cs_sales_price) AS agg4, AVG(cs_coupon_amt) AS agg3, i_item_id, AVG(cs_quantity) AS agg1 FROM catalog_sales JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk JOIN item ON cs_item_sk = i_item_sk JOIN promotion ON cs_promo_sk = p_promo_sk WHERE (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = '4 yr Degree' AND cd_marital_status = 'S' AND d_year = 2000 AND cd_gender = 'M' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE 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 = ANY(ARRAY[1, 1, 1, 1, 1, 1, 1, 1]) AND p_partkey = ps_partkey GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT s_phone, n_name, s_acctbal, p_partkey, s_name, p_mfgr, s_comment, s_address FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
select sum(ss_ext_sales_price) as ext_price, i_brand as brand, 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 = 33 and d_moy = 11 and d_year = 2001 group by i_brand, i_brand_id order by ext_price asc, brand_id limit 100; | 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 at.movie_id = mi.movie_id AND kt.id = t.kind_id AND mi_idx.movie_id = mc.movie_id AND t.production_year > 2000 AND t.id = mi.movie_id AND cn.id = mc.company_id AND t.id = mc.movie_id AND it2.info = 'release dates' AND t.id = at.movie_id AND at.movie_id = mi_idx.movie_id AND it1.info = 'rating' AND it1.id = mi_idx.info_type_id AND mi.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND kt.kind = 'movie' AND mi_idx.info < '3.5' AND at.movie_id = mc.movie_id AND cn.country_code = '[us]' AND at.title LIKE '%Champion%' AND mi.info LIKE 'USA:%200%' AND mi.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE at.movie_id = mi.movie_id AND it1.id = mi_idx.info_type_id AND t.production_year > 2000 AND cn.country_code = '[us]' AND mi.movie_id = mc.movie_id AND at.title LIKE '%Champion%' AND t.id = mi_idx.movie_id AND cn.id = mc.company_id AND mi_idx.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND at.movie_id = mc.movie_id AND t.id = mc.movie_id AND t.id = at.movie_id AND mi.movie_id = mi_idx.movie_id AND it2.info = 'release dates' AND t.id = mi.movie_id AND kt.id = t.kind_id AND mi.info LIKE 'USA:%200%' AND it1.info = 'rating' AND mi_idx.info < '3.5' AND kt.kind = 'movie' AND it2.id = mi.info_type_id | job |
SELECT MIN(t.title) AS japanese_anime_movie, MIN(an.name) AS acress_pseudonym 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.role_id = rt.id AND ci.movie_id = mc.movie_id AND n.gender = 'f' AND an.person_id = n.id AND k.id = mk.keyword_id AND n.id = ci.person_id AND k.keyword = 'anime' AND mk.movie_id = ci.movie_id AND mc.note NOT LIKE '%(USA)%' AND ci.person_id = an.person_id AND t.id = ci.movie_id AND t.id = mc.movie_id AND cn.country_code = '[jp]' AND mc.note LIKE '%(Japan)%' AND cn.id = mc.company_id AND t.production_year > 1990 AND ci.note LIKE '%(voice: English version)%' AND rt.role = 'actress' AND mk.movie_id = mc.movie_id AND t.id = mk.movie_id AND ct.id = mc.company_type_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 ct.id = mc.company_type_id AND mc.note LIKE '%(Japan)%' AND n.id = ci.person_id AND t.id = mk.movie_id AND n.gender = 'f' AND ci.movie_id = mc.movie_id AND k.id = mk.keyword_id AND k.keyword = 'anime' AND an.person_id = n.id AND cn.id = mc.company_id AND cn.country_code = '[jp]' AND mk.movie_id = ci.movie_id AND mk.movie_id = mc.movie_id AND t.production_year > 1990 AND rt.role = 'actress' AND mc.note NOT LIKE '%(USA)%' AND ci.person_id = an.person_id AND t.id = mc.movie_id AND ci.role_id = rt.id AND t.id = ci.movie_id | job |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND t.id = mc.movie_id AND an.person_id = ci.person_id AND an.person_id = n.id AND k.keyword = 'character-name-in-title' AND t.episode_nr >= 50 AND mk.keyword_id = k.id AND t.episode_nr < 100 AND mc.company_id = cn.id AND t.id = mk.movie_id AND n.id = ci.person_id AND mc.movie_id = mk.movie_id AND ci.movie_id = t.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id | job |
Select Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v, badges As b Where p.Id = ph.PostId AND pl.LinkTypeId = 1 AND c.Score = 0 AND p.Id = pl.RelatedPostId AND p.Id = c.PostId AND b.UserId = c.UserId AND p.Id = v.PostId | stats |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE mc.note LIKE '%(Japan)%' AND cn.country_code = '[jp]' AND t.id = mc.movie_id AND ci.movie_id = t.id AND n1.name NOT LIKE '%Yu%' AND mc.note NOT LIKE '%(USA)%' AND an1.person_id = n1.id AND n1.name LIKE '%Yo%' AND rt.role = 'actress' AND ci.role_id = rt.id AND n1.id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.note = '(voice: English version)' AND mc.company_id = cn.id AND an1.person_id = ci.person_id | job |
SELECT i_brand_id AS brand_id, i_manufact, SUM(ss_ext_sales_price) AS ext_price, i_brand AS brand, i_manufact_id FROM date_dim INNER JOIN store_sales ON d_date_sk = ss_sold_date_sk INNER JOIN item ON ss_item_sk = i_item_sk INNER JOIN customer ON ss_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = ca_address_sk INNER JOIN store ON ss_store_sk = s_store_sk WHERE d_moy = 12 AND d_year = 1999 AND i_manager_id = 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 i_brand_id AS brand_id, i_brand AS brand, i_manufact_id, i_manufact, 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_year = 1999 AND d_moy = 12 AND substr(ca_zip, 1, 5) != substr(s_zip, 1, 5) AND i_manager_id = 3 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; | tpcds |
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 d2.d_moy BETWEEN 2 AND 2 + 3 AND d3.d_year = 2001 AND d3.d_moy BETWEEN 2 AND 2 + 3 AND d1.d_moy = 2 AND d2.d_year = 2001 AND d1.d_year = 2001 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT MIN(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 = mc.movie_id AND kt.kind IN ('movie', 'episode') AND k.keyword = ANY(ARRAY['murder', 'murder-in-title', 'blood', 'violence']) AND mc.note LIKE '%(200%)%' AND mi_idx.info < '7.0' AND it1.id = mi.info_type_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND it2.info = 'rating' AND k.id = mk.keyword_id AND t.id = mi.movie_id AND cn.id = mc.company_id AND t.production_year > 2008 AND t.id = mk.movie_id AND it2.id = mi_idx.info_type_id AND mi.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = mi_idx.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it1.info = 'countries' AND cn.country_code != '[us]' | job |
Select Min(mi.info) As release_date, Min(t.title) As german_movie, Min(miidx.info) As rating From company_name As cn, company_type As ct, info_type As it, info_type As it2, kind_type As kt, movie_companies As mc, movie_info As mi, movie_info_idx As miidx, title As t Where it2.id = mi.info_type_id AND it2.info = 'release dates' AND mc.movie_id = t.id AND kt.id = t.kind_id AND mi.movie_id = miidx.movie_id AND it.info = 'rating' AND kt.kind = 'movie' AND mi.movie_id = t.id AND miidx.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND it.id = miidx.info_type_id AND ct.kind = 'production companies' AND cn.country_code = '[de]' | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE b.UserId = u.Id AND p.Score <= 40 AND p.Id = ph.PostId AND c.UserId = u.Id AND p.Id = v.PostId AND p.Id = pl.RelatedPostId AND pl.LinkTypeId = 1 AND p.Id = c.PostId | stats |
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_partkey = l_partkey AND s_suppkey = l_suppkey AND s_nationkey = n_nationkey AND p_name LIKE 1 ) AS profit AND ps_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 |
WITH _q AS ( Select c_last_name, c_first_name, ca_city, bought_city, ss_ticket_number, extended_price, extended_tax, 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 = 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 ) SELECT * FROM _q; | 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 r_name = 1 And p_type = 1 ) As all_nations And o_orderdate Between DATE '1995-01-01' And DATE '1996-12-31' And o_custkey = c_custkey And p_partkey = l_partkey And n1.n_regionkey = r_regionkey And c_nationkey = n1.n_nationkey And s_suppkey = l_suppkey And l_orderkey = o_orderkey And s_nationkey = n2.n_nationkey Group By o_year Order By o_year | tpch |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE d_moy = 5 ) AS all_sales AND i_category = 'Home' AND d_year = 2002 AND s_gmt_offset = -6 AND d_year = 2002 AND i_category = 'Home' AND ca_gmt_offset = -6 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -6 AND d_moy = 5 ) 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 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_partkey = l_partkey AND p_partkey = l_partkey AND ps_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND s_suppkey = l_suppkey AND s_nationkey = n_nationkey AND o_orderkey = l_orderkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
WITH _q AS ( SELECT cntrycode, COUNT(*) AS numcust, SUM(c_acctbal) AS totacctbal FROM ( SELECT SUBSTRING(c_phone FROM 1 FOR 2) AS cntrycode, c_acctbal FROM customer WHERE c_acctbal > ( SELECT AVG(c_acctbal) FROM customer WHERE c_acctbal > 0.00 AND SUBSTRING(c_phone FROM 1 FOR 2) IN (1, 1, 1, 1, 1, 1, 1) ) AND SUBSTRING(c_phone FROM 1 FOR 2) IN (1, 1, 1, 1, 1, 1, 1) AND NOT EXISTS ( SELECT * FROM orders WHERE o_custkey = c_custkey ) ) AS custsale GROUP BY cntrycode ORDER BY cntrycode ) SELECT * FROM _q LIMIT 10; | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = pl.PostId AND p.Id = v.PostId AND pl.LinkTypeId = 1 AND p.Id = c.PostId AND c.Score = 0 AND p.FavoriteCount >= 0 AND p.Id = ph.PostId LIMIT 50; | stats |
select cc_manager as manager, sum(cr_net_loss) as returns_loss, cc_name as call_center_name, cc_call_center_id as call_center from call_center join catalog_returns on cr_call_center_sk = cc_call_center_sk join date_dim on cr_returned_date_sk = d_date_sk join customer on cr_returning_customer_sk = c_customer_sk join customer_address on c_current_addr_sk = ca_address_sk join customer_demographics on cr_returning_cdemo_sk = cd_demo_sk join household_demographics on cr_returning_hdemo_sk = hd_demo_sk where ( (cd_marital_status = 'S' and cd_education_status = '4 yr Degree') or (hd_buy_potential like '501-1000%' and ca_gmt_offset = -5) ) AND ca_gmt_offset = -5 AND d_moy = 11 AND d_year = 2001 group by cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status order by returns_loss desc limit 100; | tpcds |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE it.info = 'rating' AND mc.movie_id = t.id AND it2.info = 'release dates' AND cn.id = mc.company_id AND kt.id = t.kind_id AND it2.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id AND cn.country_code = '[de]' AND it.id = miidx.info_type_id AND miidx.movie_id = t.id AND mi.movie_id = t.id AND ct.kind = 'production companies' AND kt.kind = 'movie' AND ct.id = mc.company_type_id AND mi.movie_id = miidx.movie_id | job |
SELECT s_comment, n_name, s_address, s_acctbal, s_name, p_partkey, s_phone, p_mfgr FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MAX(cs_net_profit) AS catalog_sales_profit, i_item_desc, i_item_id, s_store_name, MAX(ss_net_profit) AS store_sales_profit, MAX(sr_net_loss) AS store_returns_loss, 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 >= 3 AND d1.d_moy <= 7 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 3 AND 7 + 3 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 3 AND 7 + 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 |
WITH year_total AS ( SELECT SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_first_name AS customer_first_name, c_last_name AS customer_last_name, 's' AS sale_type, c_email_address AS customer_email_address, c_preferred_cust_flag AS customer_preferred_cust_flag, d_year AS dyear, c_login AS customer_login, c_customer_id AS customer_id, c_birth_country AS customer_birth_country FROM customer INNER JOIN store_sales ON c_customer_sk = ss_customer_sk INNER 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 INNER 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 cnt, c_salutation, ss_ticket_number, c_preferred_cust_flag, c_last_name, c_first_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(1) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_dom BETWEEN 1 AND 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND d_year IN (1999, 2001, 2002) 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 100.00 * Sum( Case When p_type Like 'PROMO%' Then l_extendedprice * (1 - l_discount) Else 0 End ) / Sum(l_extendedprice * (1 - l_discount)) As promo_revenue From lineitem, part Where l_partkey = p_partkey And l_shipdate >= DATE 1 And l_shipdate < DATE 1 + INTERVAL '1' MONTH Limit 100; | tpch |
SELECT s_comment, s_phone, s_acctbal, s_address, s_name, p_mfgr, p_partkey, 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 MAX(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.id = mk.keyword_id AND t.production_year > 2005 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND k.keyword LIKE '%sequel%' | 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 = mc.movie_id AND ci.movie_id = t.id AND mc.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND t.episode_nr < 100 AND ci.movie_id = mk.movie_id AND mc.company_id = cn.id AND n.id = ci.person_id AND an.person_id = ci.person_id AND cn.country_code = '[us]' AND t.id = mk.movie_id AND t.episode_nr >= 50 AND mk.keyword_id = k.id AND an.person_id = n.id AND k.keyword = 'character-name-in-title' | job |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.FavoriteCount >= 0 AND c.Score = 0 AND pl.LinkTypeId = 1 AND p.Id = pl.PostId AND p.Id = c.PostId ) SELECT * FROM _q AND p.Id = ph.PostId AND p.Id = v.PostId | stats |
SELECT s_comment, s_phone, n_name, s_address, p_mfgr, s_acctbal, p_partkey, s_name FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b WHERE p.Id = c.PostId AND p.Id = ph.PostId AND p.Id = pl.RelatedPostId AND p.Id = v.PostId AND c.Score = 0 AND b.UserId = c.UserId AND pl.LinkTypeId = 1 ) SELECT * FROM _q; | stats |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_suppkey = l1.l_suppkey AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND l1.l_receiptdate > l1.l_commitdate AND n_name = 1 AND o_orderstatus = 'F' AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND s_nationkey = n_nationkey AND o_orderkey = l1.l_orderkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
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 pi.person_id = an.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND an.name LIKE '%a%' AND it.id = pi.info_type_id AND t.id = ci.movie_id AND t.production_year BETWEEN 1980 AND 1995 AND n.id = pi.person_id AND an.person_id = ci.person_id AND pi.note = 'Volker Boehm' AND pi.person_id = ci.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND n.id = an.person_id AND ci.person_id = n.id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.info = 'mini biography' AND ci.movie_id = ml.linked_movie_id AND lt.link = 'features' | job |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE k.id = mk.keyword_id AND ct.id = mc.company_type_id AND t.id = ml.movie_id AND mi.info LIKE 'USA:% 199%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND ml.movie_id = mk.movie_id AND t.id = mc.movie_id AND lt.link LIKE '%follow%' AND it.id = mi.info_type_id AND mi.note LIKE '%internet%' AND mk.movie_id = mc.movie_id AND cn.id = mc.company_id AND cn.country_code = '[us]' AND t.id = mk.movie_id AND t.production_year > 1950 AND mc.note LIKE '%(USA)%' AND it.info = 'release dates' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND lt.id = ml.link_type_id AND mi.movie_id = t.id AND ml.movie_id = mi.movie_id AND ml.movie_id = mc.movie_id | job |
select min(cn.name) as from_company, min(lt.link) as link_type, min(t.title) as western_sequel from company_name as cn, company_type as ct, info_type as it, keyword as k, link_type as lt, movie_companies as mc, movie_info as mi, movie_keyword as mk, movie_link as ml, title as t where ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND it.info = 'release dates' AND mi.note like '%internet%' AND mi.info like 'USA:% 199%' AND t.id = ml.movie_id AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi.info_type_id AND mi.movie_id = t.id AND k.id = mk.keyword_id AND t.production_year > 1950 AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND lt.id = ml.link_type_id AND k.keyword in ('sequel', 'revenge', 'based-on-novel') AND lt.link like '%follow%' AND cn.country_code = '[us]' AND cn.id = mc.company_id AND mc.note like '%(USA)%' | 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 AND l_shipmode IN (1, 1) AND o_orderkey = l_orderkey AND l_shipdate < l_commitdate AND l_commitdate < l_receiptdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice, SUM(l_quantity) 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(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE it.info = 'bottom 10 rank' AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi.movie_id AND it.id = mi.info_type_id AND t.id = mc.movie_id | 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 mk.movie_id = mc.movie_id And k.id = mk.keyword_id And t.id = mi.movie_id And k.keyword In ('murder', 'murder-In-title', 'blood', 'violence') And mi.movie_id = mc.movie_id And mi_idx.info < '7.0' And cn.id = mc.company_id And it2.info = 'rating' And t.id = mc.movie_id And mc.movie_id = mi_idx.movie_id And it1.info = 'countries' And mk.movie_id = mi_idx.movie_id And mc.note Like '%(200%)%' And mk.movie_id = mi.movie_id And ct.id = mc.company_type_id And kt.kind In ('movie', 'episode') And t.production_year > 2008 And kt.id = t.kind_id And mc.note Not Like '%(USA)%' And it2.id = mi_idx.info_type_id And mi.info In ('Germany', 'German', 'USA', 'American') And mi.movie_id = mi_idx.movie_id And t.id = mi_idx.movie_id And cn.country_code != '[us]' And it1.id = mi.info_type_id And t.id = mk.movie_id | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE it2.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND it1.id = mi_idx.info_type_id AND mi.movie_id = mi_idx.movie_id AND t.production_year > 2000 AND at.title LIKE '%Champion%' AND t.id = mi_idx.movie_id AND kt.kind = 'movie' AND mi.info LIKE 'USA:%200%' AND t.id = mc.movie_id AND kt.id = t.kind_id AND at.movie_id = mc.movie_id AND t.id = at.movie_id AND mi_idx.info < '3.5' AND cn.id = mc.company_id AND at.movie_id = mi.movie_id AND t.id = mi.movie_id AND it1.info = 'rating' AND cn.country_code = '[us]' AND it2.info = 'release dates' AND mi_idx.movie_id = mc.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 = mk.movie_id And t.id = mk.movie_id And k.keyword ='character-name-In-title' And mk.keyword_id = k.id And mc.movie_id = t.id And cn.country_code ='[de]' And cn.id = mc.company_id | job |
SELECT cc_manager AS manager, cc_name AS call_center_name, cc_call_center_id AS call_center, SUM(cr_net_loss) AS returns_loss FROM call_center JOIN catalog_returns ON cr_call_center_sk = cc_call_center_sk JOIN date_dim ON cr_returned_date_sk = d_date_sk JOIN customer ON cr_returning_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN customer_demographics ON cr_returning_cdemo_sk = cd_demo_sk JOIN household_demographics ON cr_returning_hdemo_sk = hd_demo_sk WHERE ( (cd_marital_status = 'S' AND cd_education_status = 'Advanced Degree') OR (hd_buy_potential LIKE '0-500%' AND ca_gmt_offset = -5) ) AND ca_gmt_offset = -5 AND d_moy = 11 AND d_year = 1999 GROUP BY cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status ORDER BY returns_loss DESC LIMIT 100; | tpcds |
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