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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 mc.movie_id = mk.movie_id And t.id = mk.movie_id And mc.movie_id = t.id And mk.keyword_id = k.id And k.keyword ='character-name-In-title' And cn.id = mc.company_id And cn.country_code ='[sm]' | 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 t.production_year > 2010 AND n.name LIKE '%Hemsworth%Chris%' AND k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND n.id = ci.person_id LIMIT 20; | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND t.production_year > 2000 AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND k.id = mk.keyword_id AND k.keyword LIKE '%sequel%' AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') | job |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE d_moy = 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 = -5 AND i_category = 'Jewelry' AND i_category = 'Jewelry' AND d_year = 2001 AND d_moy = 8 ) AS all_sales AND d_year = 2001 AND s_gmt_offset = -5 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND ca_gmt_offset = -5 AND s_gmt_offset = -5 ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT COUNT(*) FROM comments AS c, votes AS v, badges AS b, users AS u WHERE c.Score = 1 AND u.CreationDate >= '2010-07-20 01:27:29'::timestamp AND u.Id = v.UserId AND u.Id = b.UserId AND u.Id = c.UserId LIMIT 20; | stats |
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 kt.kind = 'movie' AND cn.id = mc.company_id AND it1.info = 'rating' AND at.movie_id = mc.movie_id AND mi.info LIKE 'USA:%200%' AND at.movie_id = mi.movie_id AND t.id = mi.movie_id AND mi_idx.movie_id = mc.movie_id AND t.id = mc.movie_id AND kt.id = t.kind_id AND it2.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND it1.id = mi_idx.info_type_id AND at.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND t.production_year > 2000 AND cn.country_code = '[us]' AND t.id = at.movie_id AND it2.info = 'release dates' AND at.title LIKE '%Champion%' AND mi_idx.info < '3.5' | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.id = mk.keyword_id AND t.production_year > 2010 AND t.id = ci.movie_id AND n.id = ci.person_id AND n.name LIKE '%Downey%Robert%' AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id | job |
SELECT s_address, s_acctbal, s_comment, s_name, p_partkey, s_phone, n_name, p_mfgr FROM part, supplier, partsupp, nation, region WHERE p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND s_suppkey = ps_suppkey AND r_name = 1 AND p_partkey = ps_partkey AND p_size = 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 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE r_name = 1 AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND c_nationkey = s_nationkey AND l_orderkey = o_orderkey AND c_custkey = o_custkey AND l_suppkey = s_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey GROUP BY n_name ORDER BY revenue ASC | tpch |
SELECT i_brand AS brand, i_brand_id AS brand_id, SUM(ss_ext_sales_price) AS ext_price, i_manufact_id, i_manufact FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE d_moy = 12 AND d_year = 1999 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND i_manager_id = 47 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 SUM(l_extendedprice * (1 - l_discount)) AS revenue, l_orderkey, o_orderdate, o_shippriority FROM customer, orders, lineitem WHERE c_mktsegment = 1 AND c_custkey = o_custkey AND l_shipdate > DATE 1 AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | 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 ci.movie_id = ml.linked_movie_id AND lt.id = ml.link_type_id AND t.id = ci.movie_id AND it.info = 'mini biography' AND n.id = pi.person_id AND t.production_year BETWEEN 1980 AND 1995 AND an.name LIKE '%a%' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.note = 'Volker Boehm' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND an.person_id = ci.person_id AND ml.linked_movie_id = t.id AND n.id = an.person_id AND pi.person_id = an.person_id AND ci.person_id = n.id AND lt.link = 'features' AND it.id = pi.info_type_id AND pi.person_id = ci.person_id | job |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE cn.id = mc.company_id AND cn.country_code = '[ru]' AND rt.id = ci.role_id AND ci.note LIKE '%(uncredited)%' AND chn.id = ci.person_role_id AND t.production_year > 2005 AND ci.note LIKE '%(voice)%' AND t.id = ci.movie_id AND rt.role = 'actor' AND ci.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id | job |
Select Count(*) From comments As c, postHistory As ph, badges As b, votes As v, users As u Where u.Id = b.UserId AND v.UserId = c.UserId AND ph.UserId = v.UserId AND b.UserId = ph.UserId AND ph.PostHistoryTypeId = 12 AND u.UpVotes = 0 | stats |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_shipdate < l_commitdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_commitdate < l_receiptdate AND l_shipmode IN (1, 1) AND l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey GROUP BY l_shipmode ORDER BY l_shipmode | 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.id = mk.keyword_id and t.production_year > 2005 and t.id = mk.movie_id and mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') and k.keyword like '%sequel%' and mk.movie_id = mi.movie_id and t.id = mi.movie_id | 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.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND an.person_id = ci.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ml.linked_movie_id = t.id AND pi.person_id = ci.person_id AND pi.note = 'Volker Boehm' AND it.id = pi.info_type_id AND t.production_year BETWEEN 1980 AND 1995 AND ci.person_id = n.id AND ci.movie_id = ml.linked_movie_id AND n.id = pi.person_id AND lt.id = ml.link_type_id AND lt.link = 'features' AND an.name LIKE '%a%' AND pi.person_id = an.person_id AND n.id = an.person_id AND t.id = ci.movie_id AND it.info = 'mini biography' | job |
WITH _q AS ( SELECT AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ca_state IN ('TX', 'GA', 'FL') AND d_year = 2001 AND s_market_id = 8 AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price BETWEEN 90 AND 128) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 81 AND 149) OR (cd_marital_status = 'W' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 138 AND 187) ) AND ca_country = 'United States' AND ( (hd_dep_count = 2 AND hd_vehicle_count <= 4) OR (hd_dep_count = 4 AND hd_vehicle_count <= 5) OR (hd_dep_count = 5 AND hd_vehicle_count <= 6) ) ) SELECT * FROM _q; | tpcds |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, MAX(ss_net_profit) AS store_sales_profit, MAX(sr_net_loss) AS store_returns_loss, MAX(cs_net_profit) AS catalog_sales_profit FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d3.d_moy >= 5 AND d3.d_moy <= 5 + 3 AND d1.d_moy BETWEEN 5 AND 5 AND d2.d_year = 2002 AND d1.d_year = 2002 AND d3.d_year = 2002 AND d2.d_moy BETWEEN 5 AND 5 + 3 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE mc.movie_id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi.info_type_id AND t.id = mi.movie_id AND t.id = mc.movie_id AND it.info = 'bottom 10 rank' AND ct.id = mc.company_type_id LIMIT 500; | job |
SELECT SUM(l_extendedprice) AS sum_base_price, l_returnflag, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_quantity) AS sum_qty, COUNT(1) AS count_order, AVG(l_extendedprice) AS avg_price, AVG(l_discount) AS avg_disc, l_linestatus, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_quantity) AS avg_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 s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_suppkey = l1.l_suppkey 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 o_orderkey = l1.l_orderkey AND s_nationkey = n_nationkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND o_orderstatus = 'F' AND n_name = 1 GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie, MIN(cn.name) AS movie_company 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.production_year > 2008 AND it1.id = mi.info_type_id AND t.id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND it2.info = 'rating' AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND cn.country_code != '[us]' AND t.id = mc.movie_id AND mk.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(USA)%' AND cn.id = mc.company_id AND kt.kind IN ('movie', 'episode') AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-IN-title', 'blood', 'violence') AND k.id = mk.keyword_id AND mi_idx.info < '7.0' AND it2.id = mi_idx.info_type_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mc.note LIKE '%(200%)%' AND mk.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND kt.id = t.kind_id AND it1.info = 'countries' | job |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND mc.movie_id = mi.movie_id AND t.id = mi.movie_id AND t.id = mc.movie_id AND it.info = 'bottom 10 rank' | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.AnswerCount >= 0 AND p.Id = v.PostId AND p.PostTypeId = 1 AND p.Id = c.PostId AND p.Id = ph.PostId AND p.Id = pl.PostId AND u.Id = p.OwnerUserId | 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.company_id = cn.id AND ci.movie_id = t.id AND ci.note = '(voice: English version)' AND ci.movie_id = mc.movie_id AND cn.country_code = '[jp]' AND rt.role = 'actress' AND mc.note NOT LIKE '%(USA)%' AND an1.person_id = n1.id AND an1.person_id = ci.person_id AND n1.name LIKE '%Yo%' AND n1.id = ci.person_id AND mc.note LIKE '%(Japan)%' AND ci.role_id = rt.id AND t.id = mc.movie_id AND n1.name NOT LIKE '%Yu%' | 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 it.info = 'top 250 rank' AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi_idx.info_type_id AND ct.kind = 'production companies' AND ct.id = mc.company_type_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 mc.note LIKE '%(200%)%' AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND t.id = mi_idx.movie_id AND mk.movie_id = mi_idx.movie_id AND kt.kind IN ('movie', 'episode') AND t.id = mk.movie_id AND t.id = mi.movie_id AND it1.info = 'countries' AND it2.id = mi_idx.info_type_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND it2.info = 'rating' AND kt.id = t.kind_id AND mk.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND mc.note NOT LIKE '%(USA)%' AND mi_idx.info < '7.0' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND t.production_year > 2008 AND cn.country_code != '[us]' AND mi.movie_id = mi_idx.movie_id | job |
select o_year, nation, 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 desc LIMIT 10; | 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 mc.movie_id = t.id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND cn.country_code ='[de]' AND cn.id = mc.company_id AND k.keyword ='character-name-in-title' AND t.id = mk.movie_id | job |
WITH _q AS ( SELECT COUNT(*) FROM badges AS b, users AS u, posts AS p WHERE p.PostTypeId = 1 AND u.Reputation >= 1 AND u.Id = b.UserId ) SELECT * FROM _q AND u.Id = p.OwnerUserId | stats |
SELECT SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count, l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count FROM orders, lineitem WHERE l_commitdate < l_receiptdate AND l_receiptdate >= DATE 1 AND l_shipmode IN (1, 1) AND l_shipdate < l_commitdate AND o_orderkey = l_orderkey AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
select c_count, count(*) as custdist from ( select c_custkey, count(o_orderkey) as c_count from customer left outer join orders on c_custkey = o_custkey and o_comment not like 1 group by c_custkey ) as c_orders group by c_count order by custdist asc, c_count asc LIMIT 20; | tpch |
SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_partkey = ps_partkey AND p_brand != 1 AND p_type NOT LIKE 1 AND p_size = ANY(ARRAY[1, 1, 1, 1, 1, 1, 1, 1]) AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'top 250 rank' AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.Id = ph.PostId AND p.AnswerCount >= 0 AND p.PostTypeId = 1 AND p.Id = pl.PostId AND p.Id = c.PostId AND u.Id = p.OwnerUserId AND p.Id = v.PostId | stats |
Select promotions, total, CAST(promotions As DECIMAL(15, 4)) / CAST(total As DECIMAL(15, 4)) * 100 From ( Select Sum(ss_ext_sales_price) As promotions From store_sales Join store On ss_store_sk = s_store_sk Join promotion On ss_promo_sk = p_promo_sk Join date_dim On ss_sold_date_sk = d_date_sk Join customer On ss_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join item On ss_item_sk = i_item_sk Where d_moy = 12 ) As all_sales AND i_category = 'Jewelry' AND ca_gmt_offset = -6 AND d_year = 2002 AND (p_channel_dmail = 'Y' Or p_channel_email = 'Y' Or p_channel_tv = 'Y') AND d_moy = 12 ) As promotional_sales, ( Select Sum(ss_ext_sales_price) As total From store_sales Join store On ss_store_sk = s_store_sk Join date_dim On ss_sold_date_sk = d_date_sk Join customer On ss_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join item On ss_item_sk = i_item_sk Where ca_gmt_offset = -6 AND i_category = 'Jewelry' AND d_year = 2002 AND s_gmt_offset = -6 AND s_gmt_offset = -6 Order By promotions, total 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 cn.country_code = '[us]' AND at.movie_id = mc.movie_id AND t.id = mc.movie_id AND at.title LIKE '%Champion%' AND it2.info = 'release dates' AND t.id = at.movie_id AND mi.info LIKE 'USA:%200%' AND mi_idx.info < '3.5' AND mi_idx.movie_id = mc.movie_id AND t.production_year > 2000 AND at.movie_id = mi_idx.movie_id AND kt.kind = 'movie' AND at.movie_id = mi.movie_id AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND t.id = mi_idx.movie_id AND kt.id = t.kind_id AND t.id = mi.movie_id AND it1.info = 'rating' AND mi.movie_id = mi_idx.movie_id AND it2.id = mi.info_type_id AND it1.id = mi_idx.info_type_id | job |
WITH _q AS ( SELECT i_item_id, i_item_desc, i_current_price FROM item JOIN inventory ON i_item_sk = inv_item_sk JOIN date_dim ON d_date_sk = inv_date_sk JOIN catalog_sales ON cs_item_sk = i_item_sk WHERE i_manufact_id = ANY(ARRAY[325, 323, 405, 311]) AND i_current_price BETWEEN 83 AND 83 + 30 AND inv_quantity_on_hand BETWEEN 100 AND 500 AND d_date BETWEEN CAST('2002-01-23' AS DATE) AND (CAST('2002-01-23' AS DATE) + INTERVAL '60 days') GROUP BY i_item_id, i_item_desc, i_current_price ORDER BY i_item_id LIMIT 100 ) SELECT * FROM _q; | tpcds |
WITH _q AS ( select s_address, total_revenue, s_suppkey, s_phone, s_name from supplier, revenue0 where s_suppkey = supplier_no and total_revenue = ( select max(total_revenue) from revenue0 ) order by s_suppkey ) SELECT * FROM _q; | tpch |
SELECT COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_size, p_brand, p_type 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 IN (1, 1, 1, 1, 1, 1, 1, 1) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT MIN(k.keyword) AS movie_keyword, MIN(t.title) AS marvel_movie, MIN(n.name) AS actor_name FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.id = ci.person_id AND t.id = ci.movie_id AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2010 | 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(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 >= 1 AND d_dom <= 2 AND d_year IN (2001, 2000, 2003) AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND s_county IN ('Franklin County', 'Jefferson County', 'Oglethorpe County', 'Maricopa County') AND hd_vehicle_count > 0 GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost), AVG(ss_quantity) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE s_market_id = 4 AND d_year = 1999 AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price BETWEEN 83 AND 135) OR (cd_marital_status = 'S' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 84 AND 125) OR (cd_marital_status = 'D' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 126 AND 196) ) AND ( (hd_dep_count = 0 AND hd_vehicle_count <= 1) OR (hd_dep_count = 3 AND hd_vehicle_count <= 4) OR (hd_dep_count = 6 AND hd_vehicle_count <= 4) ) AND ca_country = 'United States' AND ca_state = ANY(ARRAY['TX', 'WA', 'FL']); | 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.Id = c.PostId AND b.UserId = u.Id AND c.UserId = u.Id AND pl.LinkTypeId = 1 AND p.Id = pl.RelatedPostId AND p.Id = ph.PostId AND p.Score <= 40 AND p.Id = v.PostId | stats |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, votes AS v WHERE v.VoteTypeId = 2 AND c.PostId = pl.PostId AND pl.PostId = v.PostId AND p.Score >= -3 AND p.Id = c.PostId AND c.CreationDate >= '2010-08-02 23:52:10'::timestamp LIMIT 1000; | stats |
select p_brand, p_type, p_size, count(distinct ps_suppkey) as supplier_cnt from partsupp, part where 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) AND p_brand <> 1 AND p_type not like 1 group by p_brand, p_type, p_size order by supplier_cnt desc, p_brand, p_type, p_size | 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 t.id = mi.movie_id AND it.id = mi.info_type_id AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.info = 'bottom 10 rank' | job |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_nationkey = n1.n_nationkey AND c_nationkey = n2.n_nationkey AND c_custkey = o_custkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE rt.id = ci.role_id AND ci.note LIKE '%(uncredited)%' AND chn.id = ci.person_role_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND ct.id = mc.company_type_id AND t.production_year > 2005 AND cn.country_code = '[ru]' AND cn.id = mc.company_id AND rt.role = 'actor' AND ci.movie_id = mc.movie_id AND ci.note LIKE '%(voice)%' | job |
WITH _q AS ( SELECT COUNT(*) FROM postHistory AS ph, posts AS p, users AS u, badges AS b WHERE p.Score >= -7 AND ph.UserId = u.Id AND ph.PostHistoryTypeId = 3 AND u.Id = b.UserId AND u.Reputation >= 1 AND p.OwnerUserId = u.Id LIMIT 50 ) SELECT * FROM _q; | stats |
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 ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND mi.movie_id = ci.movie_id AND t.id = mi.movie_id AND cn.id = mc.company_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND cn.country_code = '[us]' AND ci.person_id = an.person_id AND mc.note LIKE '%(USA)%' AND it.id = mi.info_type_id AND ci.role_id = rt.id AND t.id = mc.movie_id AND chn.id = ci.person_role_id AND t.production_year > 2000 AND it.info = 'release dates' AND n.gender = 'f' AND an.person_id = n.id AND mi.movie_id = mc.movie_id AND n.id = ci.person_id | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword LIKE '%sequel%' AND t.id = mi.movie_id AND t.production_year > 2010 AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') | job |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where k.id = mk.keyword_id AND mi.info in ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.production_year > 2010 AND mk.movie_id = mi.movie_id AND k.keyword like '%sequel%' AND t.id = mi.movie_id AND t.id = mk.movie_id | 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 o_orderkey = l_orderkey AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) AND l_commitdate < l_receiptdate AND l_receiptdate >= DATE 1 AND l_shipdate < l_commitdate GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 1000; | tpch |
WITH _q AS ( 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 ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' AND n.name LIKE '%Downey%Robert%' AND n.id = ci.person_id ) SELECT * FROM _q | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = t.id AND mk.keyword_id = k.id AND cn.country_code ='[de]' AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND k.keyword ='character-name-in-title' AND t.id = mk.movie_id LIMIT 200; | job |
SELECT c_custkey, c_comment, c_phone, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, c_address, n_name FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT MIN(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 mk.movie_id = mc.movie_id AND t.id = ml.movie_id AND lt.link LIKE '%follow%' AND t.production_year > 1950 AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mi.info LIKE 'USA:% 199%' AND lt.id = ml.link_type_id AND ct.id = mc.company_type_id AND ml.movie_id = mk.movie_id AND mi.note LIKE '%internet%' AND ml.movie_id = mi.movie_id AND mi.movie_id = t.id AND k.id = mk.keyword_id AND it.info = 'release dates' AND it.id = mi.info_type_id AND t.id = mc.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND cn.country_code = '[us]' AND mc.note LIKE '%(USA)%' AND t.id = mk.movie_id AND ml.movie_id = mc.movie_id AND cn.id = mc.company_id | job |
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 = v.PostId AND p.Id = c.PostId AND c.Score = 0 AND p.Id = pl.PostId AND pl.LinkTypeId = 1 AND p.Id = ph.PostId | stats |
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 mk.movie_id = mi.movie_id AND k.keyword like '%sequel%' AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.production_year > 2005 | job |
Select c_custkey, c_name, Sum(l_extendedprice * (1 - l_discount)) As revenue, c_acctbal, n_name, c_address, c_phone, c_comment From customer, orders, lineitem, nation Where l_orderkey = o_orderkey AND c_nationkey = n_nationkey AND c_custkey = o_custkey AND l_returnflag = 'R' AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND o_orderdate >= DATE 1 Group By c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment Order By revenue Desc Limit 20 | tpch |
SELECT MIN(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.id = ci.movie_id AND n.id = ci.person_id AND t.production_year > 2010 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id | job |
SELECT AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE s_market_id = 8 AND ca_country = 'United States' AND ca_state IN ('TX', 'WA', 'FL') AND d_year = 2002 AND ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price >= 89 AND ss_sales_price <= 113) OR (cd_marital_status = 'M' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 53 AND 128) OR (cd_marital_status = 'D' AND cd_education_status = 'Advanced Degree' AND ss_sales_price BETWEEN 110 AND 166) ) AND ( (hd_dep_count = 1 AND hd_vehicle_count <= 4) OR (hd_dep_count = 3 AND hd_vehicle_count <= 4) OR (hd_dep_count = 6 AND hd_vehicle_count <= 3) ) | tpcds |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE ci.note LIKE '%(voice: English version)%' AND ci.movie_id = mc.movie_id AND n.gender = 'f' AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.production_year > 1990 AND mk.movie_id = ci.movie_id AND an.person_id = n.id AND mk.movie_id = mc.movie_id AND k.keyword = 'anime' AND ct.id = mc.company_type_id AND ci.role_id = rt.id AND n.id = ci.person_id AND rt.role = 'actress' AND cn.id = mc.company_id AND cn.country_code = '[jp]' AND ci.person_id = an.person_id AND mc.note LIKE '%(Japan)%' | job |
SELECT AVG(l_discount) AS avg_disc, l_linestatus, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice) AS sum_base_price, COUNT(*) AS count_order, AVG(l_quantity) AS avg_qty, SUM(l_quantity) AS sum_qty, l_returnflag, 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 LIMIT 500; | tpch |
Select Count(*) From postHistory As ph, posts As p, votes As v, badges As b, users As u, comments As c Where p.ViewCount >= 0 And p.Score <= 192 And p.Id = v.PostId And p.Id = c.PostId And p.Id = ph.PostId And u.Id = p.OwnerUserId And u.Id = b.UserId | stats |
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 mk.movie_id = mi.movie_id AND t.production_year > 2005 AND k.id = mk.keyword_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND k.keyword LIKE '%sequel%' AND t.id = mk.movie_id AND t.id = mi.movie_id ) SELECT * FROM _q; | 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 it2.id = mi.info_type_id AND cn.country_code = '[us]' AND mi.movie_id = mc.movie_id AND t.id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND it2.info = 'release dates' AND t.production_year > 2000 AND t.id = at.movie_id AND mi_idx.movie_id = mc.movie_id AND at.title LIKE '%Champion%' AND mi.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND it1.id = mi_idx.info_type_id AND kt.kind = 'movie' AND cn.id = mc.company_id AND at.movie_id = mc.movie_id AND t.id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND mi_idx.info < '3.5' AND t.id = mi.movie_id AND it1.info = 'rating' | job |
SELECT o_orderpriority, COUNT(*) AS order_count FROM orders WHERE EXISTS ( SELECT * FROM lineitem WHERE l_orderkey = o_orderkey AND l_commitdate < l_receiptdate ) AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH GROUP BY o_orderpriority ORDER BY o_orderpriority LIMIT 20; | tpch |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE mi.info LIKE 'USA:% 199%' AND cn.id = mc.company_id AND cn.country_code = '[us]' AND mc.note LIKE '%(USA)%' AND it.info = 'release dates' AND lt.id = ml.link_type_id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND mi.note LIKE '%internet%' AND ml.movie_id = mc.movie_id AND lt.link LIKE '%follow%' AND t.id = ml.movie_id AND it.id = mi.info_type_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND mk.movie_id = mc.movie_id AND t.id = mk.movie_id AND ct.id = mc.company_type_id AND k.keyword = ANY(ARRAY['sequel', 'revenge', 'based-ON-novel']) AND k.id = mk.keyword_id AND t.production_year > 1950 AND ml.movie_id = mi.movie_id AND t.id = mc.movie_id | job |
Select p_size, p_brand, p_type, Count(Distinct ps_suppkey) As supplier_cnt From partsupp, part Where p_brand <> 1 And p_partkey = ps_partkey And p_size In (1, 1, 1, 1, 1, 1, 1, 1) And ps_suppkey Not In ( Select s_suppkey From supplier Where s_comment Like '%Customer%Complaints%' ) 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 SUM(ss_ext_sales_price) AS ext_price, i_brand_id AS brand_id, i_brand AS brand FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk WHERE d_year = 2001 AND i_manager_id = 13 AND d_moy = 12 GROUP BY i_brand, i_brand_id ORDER BY ext_price ASC, brand_id LIMIT 100; | tpcds |
Select l_orderkey, Sum(l_extendedprice * (1 - l_discount)) As revenue, o_orderdate, o_shippriority From customer, orders, lineitem Where o_orderdate < DATE 1 AND c_custkey = o_custkey AND c_mktsegment = 1 AND l_shipdate > DATE 1 AND l_orderkey = o_orderkey Group By l_orderkey, o_orderdate, o_shippriority Order By revenue Desc, o_orderdate Limit 10 | tpch |
SELECT c_first_name, cnt, c_salutation, c_preferred_cust_flag, ss_ticket_number, c_last_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_dom >= 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 (2001, 2000, 2003) AND s_county IN ('Franklin County', 'Jefferson County', 'Oglethorpe County', 'Maricopa County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | 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.id = mk.movie_id AND k.keyword LIKE '%sequel%' AND mk.movie_id = mi.movie_id AND t.production_year > 2000 AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mi.movie_id | job |
WITH _q AS ( SELECT AVG(sr_return_quantity) AS store_returns_quantityave, AVG(ss_quantity) AS store_sales_quantityave, i_item_id, AVG(cs_quantity) AS catalog_sales_quantityave, COUNT(ss_quantity) AS store_sales_quantitycount, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, s_state, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, i_item_desc FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '1999Q1' AND d2.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') AND d3.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100 ) SELECT * FROM _q; | 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.Id = ph.PostId AND pl.LinkTypeId = 1 AND c.UserId = u.Id AND p.Score <= 40 AND p.Id = c.PostId AND p.Id = v.PostId AND b.UserId = u.Id AND p.Id = pl.RelatedPostId LIMIT 50; | stats |
SELECT p_brand, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_size, p_type FROM partsupp, part WHERE p_partkey = ps_partkey AND p_type NOT LIKE 1 AND p_brand <> 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_shippriority, l_orderkey, o_orderdate FROM customer, orders, lineitem WHERE l_orderkey = o_orderkey AND o_orderdate < DATE 1 AND l_shipdate > DATE 1 AND c_custkey = o_custkey AND c_mktsegment = 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | tpch |
SELECT COUNT(*) FROM comments AS c, postHistory AS ph, badges AS b, votes AS v, users AS u WHERE u.UpVotes = 0 AND v.UserId = c.UserId AND u.Id = b.UserId AND b.UserId = ph.UserId AND ph.PostHistoryTypeId = 12 AND ph.UserId = v.UserId | stats |
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 = mc.movie_id AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' | 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_shipdate < l_commitdate AND o_orderkey = l_orderkey AND l_shipmode IN (1, 1) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate 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 c_custkey = o_custkey AND n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND c_nationkey = s_nationkey AND r_name = 1 AND s_nationkey = n_nationkey AND l_suppkey = s_suppkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_type NOT LIKE 1 AND p_brand <> 1 AND p_partkey = ps_partkey AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
Select 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 ='[nl]' AND mk.keyword_id = k.id AND t.id = mk.movie_id AND cn.id = mc.company_id AND k.keyword ='character-name-In-title' AND mc.movie_id = t.id | job |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE ci.movie_id = mc.movie_id AND ci.movie_id = t.id AND ci.note = '(voice: English version)' AND an1.person_id = n1.id AND t.id = mc.movie_id AND n1.id = ci.person_id AND rt.role = 'actress' AND mc.company_id = cn.id AND cn.country_code = '[jp]' AND ci.role_id = rt.id AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(Japan)%' AND n1.name LIKE '%Yo%' AND an1.person_id = ci.person_id AND n1.name NOT LIKE '%Yu%' | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE mk.movie_id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mk.movie_id AND t.production_year > 2000 AND k.id = mk.keyword_id AND t.id = mi.movie_id AND k.keyword LIKE '%sequel%' | job |
SELECT SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count, l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count FROM orders, lineitem WHERE l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) AND l_commitdate < l_receiptdate AND l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey AND l_shipdate < l_commitdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND n.id = pi.person_id AND an.person_id = ci.person_id 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 an.name LIKE '%a%' AND pi.person_id = an.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ci.person_id = n.id AND pi.note = 'Volker Boehm' AND n.id = an.person_id AND pi.person_id = ci.person_id AND t.id = ci.movie_id AND lt.link = 'features' AND it.info = 'mini biography' AND t.production_year BETWEEN 1980 AND 1995 | job |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where t.id = mi.movie_id AND k.keyword Like '%sequel%' AND t.production_year > 2010 AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND mi.info In ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.id = mk.keyword_id | job |
SELECT o_totalprice, c_name, o_orderdate, SUM(l_quantity), c_custkey, o_orderkey 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 COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.AnswerCount >= 0 AND p.Id = ph.PostId AND u.Id = p.OwnerUserId AND p.Id = pl.PostId AND p.Id = c.PostId AND p.Id = v.PostId AND p.PostTypeId = 1 | stats |
SELECT ca_city, c_first_name, ss_ticket_number, bought_city, extended_price, c_last_name, 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; | tpcds |
With ss As ( Select i_manufact_id, Sum(ss_ext_sales_price) As total_sales From store_sales Join date_dim On ss_sold_date_sk = d_date_sk Join customer_address On ss_addr_sk = ca_address_sk Join item On ss_item_sk = i_item_sk Where ca_gmt_offset = -5 AND i_category In ('Electronics') AND d_moy = 2 AND d_year = 2000 Group By i_manufact_id ), cs As ( Select i_manufact_id, Sum(cs_ext_sales_price) As total_sales From catalog_sales Join date_dim On cs_sold_date_sk = d_date_sk Join customer_address On cs_bill_addr_sk = ca_address_sk Join item On cs_item_sk = i_item_sk Where d_year = 2000 And d_moy = 2 And i_category In ('Electronics') And ca_gmt_offset = -5 Group By i_manufact_id ), ws As ( Select i_manufact_id, Sum(ws_ext_sales_price) As total_sales From web_sales Join date_dim On ws_sold_date_sk = d_date_sk Join customer_address On ws_bill_addr_sk = ca_address_sk Join item On ws_item_sk = i_item_sk Where d_year = 2000 And d_moy = 2 And i_category In ('Electronics') And ca_gmt_offset = -5 Group By i_manufact_id ) Select i_manufact_id, Sum(total_sales) As total_sales From ( Select * From ss Union All Select * From cs Union All Select * From ws ) As tmp Group By i_manufact_id Order By total_sales Desc Limit 100; | tpcds |
SELECT 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_shipmode = ANY(ARRAY[1, 1]) AND o_orderkey = l_orderkey AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT c_first_name, c_last_name, c_salutation, ss_ticket_number, cnt, c_preferred_cust_flag FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(1) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_dom BETWEEN 1 AND 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 MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.id = ci.person_id AND t.production_year > 2010 AND n.name LIKE '%Downey%Robert%' AND k.id = mk.keyword_id AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.id = mk.keyword_id AND mi.info = ANY(ARRAY['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.keyword LIKE '%sequel%' AND t.production_year > 2010 | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND it.info = 'top 250 rank' AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND t.id = mc.movie_id | job |
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