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Select Sum(l_extendedprice * l_discount) As revenue From lineitem Where l_discount BETWEEN 1 - 0.01 AND 1 + 0.01 AND l_quantity < 1 AND l_shipdate >= DATE 1 AND l_shipdate < DATE 1 + INTERVAL '1' YEAR Limit 50; | tpch |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE n_regionkey = r_regionkey AND p_type LIKE 1 AND r_name = 1 AND p_partkey = ps_partkey 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 s_nationkey = n_nationkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT extended_tax, c_first_name, extended_price, list_price, bought_city, c_last_name, ss_ticket_number, ca_city FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 5 OR hd_vehicle_count = 0) AND d_dow IN (6, 0) AND d_year IN (1999, 2002, 2003) AND s_city IN ('Clinton', 'Oak Grove') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT 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 k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.country_code != '[us]' AND kt.kind IN ('movie', 'episode') AND cn.id = mc.company_id AND it2.info = 'rating' AND mc.note LIKE '%(200%)%' AND ct.id = mc.company_type_id AND mi.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = mk.movie_id AND t.id = mi.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND it1.info = 'countries' AND kt.id = t.kind_id AND t.production_year > 2008 AND mc.note NOT LIKE '%(USA)%' AND it2.id = mi_idx.info_type_id AND mk.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND t.id = mi_idx.movie_id AND mi_idx.info < '7.0' AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id | job |
SELECT ss_ticket_number, cnt, c_salutation, c_last_name, c_preferred_cust_flag, c_first_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(1) AS cnt FROM store_sales INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.85 AND d_year IN (2001, 2000, 2002) AND s_county IN ('Williamson County', 'Barrow County', 'Placer County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn INNER JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
WITH _q AS ( select dt.d_year, item.i_brand_id as brand_id, item.i_brand as brand, sum(ss_ext_sales_price) as sum_agg from date_dim as dt join store_sales on dt.d_date_sk = store_sales.ss_sold_date_sk join item on store_sales.ss_item_sk = item.i_item_sk where item.i_manufact_id = 691 and dt.d_moy = 12 group by dt.d_year, item.i_brand, item.i_brand_id order by dt.d_year, sum_agg desc, brand_id limit 100 ) SELECT * FROM _q; | tpcds |
SELECT MIN(t.title) AS marvel_movie, MIN(n.name) AS actor_name, MIN(k.keyword) AS movie_keyword FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.id = ci.movie_id AND t.production_year > 2010 AND k.id = mk.keyword_id AND n.name LIKE '%Hemsworth%Chris%' AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id LIMIT 100; | job |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE ct.kind = 'production companies' AND ct.id = mc.company_type_id AND mi.movie_id = mc.movie_id AND cn.country_code = '[de]' AND it2.id = mi.info_type_id AND miidx.movie_id = mc.movie_id AND mi.movie_id = t.id AND mc.movie_id = t.id AND it2.info = 'release dates' AND miidx.movie_id = t.id AND kt.kind = 'movie' AND cn.id = mc.company_id AND mi.movie_id = miidx.movie_id AND it.id = miidx.info_type_id AND kt.id = t.kind_id AND it.info = 'rating' | job |
SELECT c_comment, c_phone, c_name, n_name, c_address, c_acctbal, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_custkey 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 o_orderdate, c_custkey, sum(l_quantity), o_totalprice, c_name, 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 desc, o_orderdate limit 100 | tpch |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND t.production_year > 2010 AND k.id = mk.keyword_id AND n.name LIKE '%Hemsworth%Chris%' AND k.keyword = 'marvel-cinematic-universe' | job |
SELECT COUNT(*) FROM comments AS c, postHistory AS ph, badges AS b, votes AS v, users AS u WHERE u.UpVotes = 0 AND ph.PostHistoryTypeId = 12 AND b.UserId = ph.UserId AND v.UserId = c.UserId AND ph.UserId = v.UserId AND u.Id = b.UserId LIMIT 10; | stats |
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 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 d3.d_moy BETWEEN 5 AND 5 + 3 AND d3.d_year = 2000 AND d2.d_year = 2000 AND d1.d_moy = 5 AND d1.d_year = 2000 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(mc.note) As production_note, Min(t.title) As movie_title, Min(t.production_year) As movie_year From company_type As ct, info_type As it, movie_companies As mc, movie_info_idx As mi_idx, title As t Where t.id = mc.movie_id And it.info = 'top 250 rank' And it.id = mi_idx.info_type_id And ct.id = mc.company_type_id And ct.kind = 'production companies' And t.id = mi_idx.movie_id And (mc.note Like '%(co-production)%' Or mc.note Like '%(presents)%') And mc.movie_id = mi_idx.movie_id And mc.note Not Like '%(As Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT AVG(ss_list_price) AS agg2, AVG(ss_sales_price) AS agg4, AVG(ss_coupon_amt) AS agg3, AVG(ss_quantity) AS agg1, i_item_id FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE cd_marital_status = 'D' AND cd_gender = 'M' AND d_year = 2001 AND cd_education_status = 'Primary' AND (p_channel_email = 'N' OR p_channel_event = 'N') GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT total_revenue, s_name, s_address, s_suppkey, s_phone FROM supplier, revenue0 WHERE total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) AND s_suppkey = supplier_no ORDER BY s_suppkey LIMIT 100; | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE l_suppkey = s_suppkey AND c_nationkey = s_nationkey AND r_name = 1 AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND o_orderdate >= DATE 1 AND c_custkey = o_custkey GROUP BY n_name ORDER BY revenue DESC | tpch |
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 store_sales on ss_item_sk = i_item_sk where i_current_price BETWEEN 91 AND 91 + 30 AND inv_quantity_on_hand BETWEEN 100 AND 500 AND i_manufact_id in (438, 38, 405, 276) 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; | 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 = mc.movie_id AND cn.country_code = '[us]' AND kt.id = t.kind_id AND mi.movie_id = mi_idx.movie_id AND it1.info = 'rating' AND t.id = mc.movie_id AND kt.kind = 'movie' AND it1.id = mi_idx.info_type_id AND cn.id = mc.company_id AND it2.info = 'release dates' AND mi_idx.movie_id = mc.movie_id AND mi.info LIKE 'USA:%200%' AND at.movie_id = mi_idx.movie_id AND at.title LIKE '%Champion%' AND t.id = mi_idx.movie_id AND t.id = at.movie_id AND mi_idx.info < '3.5' AND it2.id = mi.info_type_id AND t.production_year > 2000 AND mi.movie_id = mc.movie_id AND t.id = mi.movie_id AND at.movie_id = mi.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_name LIKE 1 ) AS profit AND ps_partkey = l_partkey AND s_nationkey = n_nationkey AND o_orderkey = l_orderkey AND p_partkey = l_partkey AND ps_suppkey = l_suppkey AND s_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year ASC | tpch |
select i_item_id, avg(ss_sales_price) as agg4, avg(ss_list_price) as agg2, avg(ss_coupon_amt) as agg3, avg(ss_quantity) as agg1 from store_sales join customer_demographics on ss_cdemo_sk = cd_demo_sk join date_dim on ss_sold_date_sk = d_date_sk join item on ss_item_sk = i_item_sk join promotion on ss_promo_sk = p_promo_sk where cd_gender = 'M' and cd_marital_status = 'D' and cd_education_status = '4 yr Degree' and (p_channel_email = 'N' or p_channel_event = 'N') and d_year = 2002 group by i_item_id order by i_item_id limit 100; | tpcds |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND it.id = mi_idx.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
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 s_suppkey = l_suppkey AND o_custkey = c_custkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_partkey = l_partkey AND l_orderkey = o_orderkey AND s_nationkey = n2.n_nationkey AND n1.n_regionkey = r_regionkey AND p_type = 1 ) AS all_nations AND c_nationkey = n1.n_nationkey GROUP BY o_year ORDER BY o_year LIMIT 100; | tpch |
Select Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v Where p.Id = ph.PostId And p.Id = pl.PostId And p.Id = c.PostId And c.Score = 0 And p.FavoriteCount >= 0 And pl.LinkTypeId = 1 And p.Id = v.PostId | stats |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code = '[us]' AND k.id = mk.keyword_id AND it.info = 'release dates' AND mc.note LIKE '%(USA)%' AND ml.movie_id = mi.movie_id AND lt.link LIKE '%follow%' AND ml.movie_id = mk.movie_id AND mi.note LIKE '%internet%' AND mi.movie_id = t.id AND t.id = ml.movie_id AND cn.id = mc.company_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND t.id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND lt.id = ml.link_type_id AND it.id = mi.info_type_id AND t.production_year > 1950 AND ct.id = mc.company_type_id AND mi.info LIKE 'USA:% 199%' | job |
SELECT c_first_name, c_preferred_cust_flag, cnt, ss_ticket_number, c_last_name, c_salutation FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.57 AND d_year IN (2000, 2002, 2001) AND s_county IN ('Franklin County', 'Daviess County', 'Jackson County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn INNER JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
SELECT s_name, p_partkey, s_address, s_comment, s_phone, n_name, s_acctbal, p_mfgr FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT 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 c_custkey = o_custkey AND c_nationkey = n2.n_nationkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND o_orderkey = l_orderkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND s_suppkey = l_suppkey AND s_nationkey = n1.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
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 c_nationkey = n_nationkey AND l_returnflag = 'R' AND o_orderdate >= DATE 1 AND c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_orderkey = o_orderkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT SUM(l_extendedprice) AS sum_base_price, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, COUNT(1) AS count_order, SUM(l_quantity) AS sum_qty, l_returnflag, l_linestatus, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_discount) AS avg_disc, AVG(l_extendedprice) AS avg_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_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE r_name = 1 AND p_size = 1 AND n_regionkey = r_regionkey 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 s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND p_type LIKE 1 AND p_partkey = ps_partkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE t.production_year > 1990 AND rt.role = 'actress' AND ci.note LIKE '%(voice: English version)%' AND mk.movie_id = mc.movie_id AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND n.id = ci.person_id AND cn.id = mc.company_id AND k.keyword = 'anime' AND t.id = ci.movie_id AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(Japan)%' AND n.gender = 'f' AND t.id = mk.movie_id AND an.person_id = n.id AND k.id = mk.keyword_id AND cn.country_code = '[jp]' AND mk.movie_id = ci.movie_id AND ct.id = mc.company_type_id AND ci.person_id = an.person_id AND ci.role_id = rt.id | job |
SELECT i_manufact, i_manufact_id, i_brand AS brand, SUM(ss_ext_sales_price) AS ext_price, i_brand_id AS brand_id FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk 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 i_manager_id = 12 AND d_year = 1999 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND d_moy = 11 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 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 ct.id = mc.company_type_id AND mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id AND it.info = 'top 250 rank' AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id | job |
select supp_nation, cust_nation, l_year, sum(volume) as revenue from ( select n1.n_name as supp_nation, n2.n_name as cust_nation, EXTRACT(YEAR from l_shipdate) as l_year, l_extendedprice * (1 - l_discount) as volume from supplier, lineitem, orders, customer, nation n1, nation n2 where l_shipdate between DATE '1995-01-01' and DATE '1996-12-31' ) as shipping and s_suppkey = l_suppkey and ( (n1.n_name = 1 and n2.n_name = 1) or (n1.n_name = 1 and n2.n_name = 1) ) and c_nationkey = n2.n_nationkey and o_orderkey = l_orderkey and s_nationkey = n1.n_nationkey and c_custkey = o_custkey group by supp_nation, cust_nation, l_year order by supp_nation, cust_nation, l_year | tpch |
SELECT p_partkey, s_address, s_comment, s_acctbal, s_name, n_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 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 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 ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_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 pi.note = 'Volker Boehm' and n.id = an.person_id and an.name like '%a%' and an.person_id = ci.person_id and lt.id = ml.link_type_id and it.id = pi.info_type_id and pi.person_id = ci.person_id and ml.linked_movie_id = t.id and n.id = pi.person_id and t.production_year between 1980 and 1995 and lt.link = 'features' and ci.movie_id = ml.linked_movie_id and t.id = ci.movie_id and (n.gender = 'm' or (n.gender = 'f' and n.name like 'B%')) and pi.person_id = an.person_id and n.name_pcode_cf between 'A' and 'F' and ci.person_id = n.id and it.info = 'mini biography' | job |
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 u.Id = p.OwnerUserId AND p.Id = c.PostId AND p.Id = ph.PostId AND p.Id = v.PostId AND u.Id = b.UserId AND p.Score <= 192 | 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 o_orderkey = l_orderkey AND ps_suppkey = l_suppkey AND s_nationkey = n_nationkey AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND ps_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year ASC | tpch |
WITH _q AS ( SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code ='[sm]' AND mc.movie_id = mk.movie_id ) SELECT * FROM _q AND cn.id = mc.company_id AND mk.keyword_id = k.id AND t.id = mk.movie_id AND k.keyword ='character-name-in-title' AND mc.movie_id = t.id | job |
SELECT i_item_id, AVG(cs_sales_price) AS agg4, AVG(cs_quantity) AS agg1, AVG(cs_coupon_amt) AS agg3, AVG(cs_list_price) AS agg2 FROM catalog_sales INNER JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk INNER JOIN date_dim ON cs_sold_date_sk = d_date_sk INNER JOIN item ON cs_item_sk = i_item_sk INNER JOIN promotion ON cs_promo_sk = p_promo_sk WHERE cd_marital_status = 'W' AND cd_education_status = 'Advanced Degree' AND d_year = 2000 AND cd_gender = 'M' AND (p_channel_email = 'N' OR p_channel_event = 'N') GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT p_brand, p_type, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_size FROM partsupp, part WHERE p_size = ANY(ARRAY[1, 1, 1, 1, 1, 1, 1, 1]) AND p_brand <> 1 AND p_type NOT LIKE 1 AND p_partkey = ps_partkey AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT s_state, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, i_item_desc, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, i_item_id, AVG(sr_return_quantity) AS store_returns_quantityave, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, COUNT(ss_quantity) AS store_sales_quantitycount, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(cs_quantity) AS catalog_sales_quantityave FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '2001Q1' AND d2.d_quarter_name IN ('2001Q1', '2000Q2', '1999Q3') AND d3.d_quarter_name IN ('2001Q1', '2000Q2', '1999Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT MIN(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 = ci.movie_id AND cn.id = mc.company_id AND ci.movie_id = mc.movie_id AND rt.id = ci.role_id AND t.production_year > 2005 AND ct.id = mc.company_type_id AND ci.note LIKE '%(uncredited)%' AND rt.role = 'actor' AND ci.note LIKE '%(voice)%' AND chn.id = ci.person_role_id AND t.id = mc.movie_id AND cn.country_code = '[ru]' | 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 o_orderdate < DATE 1 + INTERVAL '3' MONTH And c_custkey = o_custkey And c_nationkey = n_nationkey And o_orderdate >= DATE 1 And l_returnflag = 'R' 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(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 rt.role = 'actress' AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND k.keyword = 'anime' AND cn.country_code = '[jp]' AND ci.role_id = rt.id AND mk.movie_id = ci.movie_id AND ci.person_id = an.person_id AND an.person_id = n.id AND ct.id = mc.company_type_id AND t.id = ci.movie_id AND mc.note NOT LIKE '%(USA)%' AND n.gender = 'f' AND mk.movie_id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND n.id = ci.person_id AND k.id = mk.keyword_id AND cn.id = mc.company_id AND t.production_year > 1990 AND t.id = mk.movie_id | job |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where k.id = mk.keyword_id And t.production_year > 2000 And mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') And t.id = mk.movie_id And t.id = mi.movie_id And k.keyword Like '%sequel%' And mk.movie_id = mi.movie_id Limit 1000; | 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.production_year > 2005 and cn.country_code = '[ru]' and t.id = ci.movie_id and ct.id = mc.company_type_id and cn.id = mc.company_id and rt.id = ci.role_id and t.id = mc.movie_id and rt.role = 'actor' and ci.movie_id = mc.movie_id and ci.note like '%(uncredited)%' and ci.note like '%(voice)%' and chn.id = ci.person_role_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 k.id = mk.keyword_id And n.gender = 'f' And mk.movie_id = ci.movie_id And mc.note Not Like '%(USA)%' And cn.id = mc.company_id And t.id = mk.movie_id And mc.note Like '%(Japan)%' And t.id = ci.movie_id And ci.note Like '%(voice: English version)%' And ci.person_id = an.person_id And mk.movie_id = mc.movie_id And rt.role = 'actress' And ci.movie_id = mc.movie_id And an.person_id = n.id And cn.country_code = '[jp]' And ci.role_id = rt.id And n.id = ci.person_id And ct.id = mc.company_type_id And t.id = mc.movie_id And k.keyword = 'anime' And t.production_year > 1990 | job |
SELECT SUM(amount) AS sum_profit, nation, o_year 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 o_orderkey = l_orderkey 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 ps_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT SUM(l_extendedprice) AS sum_base_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_returnflag, l_linestatus, COUNT(*) AS count_order, AVG(l_quantity) AS avg_qty, AVG(l_extendedprice) AS avg_price, SUM(l_quantity) AS sum_qty, 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 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 cn.id = mc.company_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND cn.country_code ='[sm]' AND t.id = mk.movie_id AND k.keyword ='character-name-in-title' LIMIT 10; | job |
SELECT AVG(ss_list_price) AS agg2, AVG(ss_quantity) AS agg1, i_item_id, AVG(ss_sales_price) AS agg4, AVG(ss_coupon_amt) AS agg3 FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE cd_marital_status = 'D' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'M' AND d_year = 2002 AND cd_education_status = '4 yr Degree' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND it.id = mi.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.movie_id = mi.movie_id AND t.id = mi.movie_id AND it.info = 'bottom 10 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND t.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 cn.id = mc.company_id And cn.country_code ='[nl]' And mc.movie_id = t.id And t.id = mk.movie_id And k.keyword ='character-name-In-title' And mk.keyword_id = k.id | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE l1.l_receiptdate > l1.l_commitdate AND n_name = 1 AND o_orderkey = l1.l_orderkey AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND s_suppkey = l1.l_suppkey AND s_nationkey = n_nationkey AND o_orderstatus = 'F' GROUP BY s_name ORDER BY numwait DESC, s_name; | 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 cn.country_code ='[de]' And mc.movie_id = t.id And t.id = mk.movie_id And mk.keyword_id = k.id And k.keyword ='character-name-In-title' And cn.id = mc.company_id And mc.movie_id = mk.movie_id | job |
SELECT COUNT(ss_quantity) AS store_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(cs_quantity) AS catalog_sales_quantitycount, i_item_id, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(cs_quantity) AS catalog_sales_quantityave, s_state, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_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 = '2001Q1' AND d2.d_quarter_name IN ('2001Q1', '2002Q2', '1999Q4') AND d3.d_quarter_name IN ('2001Q1', '2002Q2', '1999Q4') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where t.production_year > 2005 and mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') and t.id = mk.movie_id and mk.movie_id = mi.movie_id and k.id = mk.keyword_id and k.keyword like '%sequel%' and t.id = mi.movie_id limit 50; | job |
select min(cn.name) as from_company, min(lt.link) as link_type, min(t.title) as western_sequel from company_name as cn, company_type as ct, info_type as it, keyword as k, link_type as lt, movie_companies as mc, movie_info as mi, movie_keyword as mk, movie_link as ml, title as t where t.id = mc.movie_id and lt.id = ml.link_type_id and k.id = mk.keyword_id and ml.movie_id = mk.movie_id and ml.movie_id = mc.movie_id and mi.note like '%internet%' and ml.movie_id = mi.movie_id and mc.note like '%(USA)%' and mi.info like 'USA:% 199%' and t.id = ml.movie_id and mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' and t.production_year > 1950 and cn.id = mc.company_id and it.id = mi.info_type_id and mi.movie_id = t.id and mk.movie_id = mc.movie_id and lt.link like '%follow%' and k.keyword = ANY(ARRAY['sequel', 'revenge', 'based-on-novel']) and it.info = 'release dates' and ct.id = mc.company_type_id and t.id = mk.movie_id and cn.country_code = '[us]' | 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 kt.id = t.kind_id AND at.movie_id = mi.movie_id AND it1.info = 'rating' AND t.id = mc.movie_id AND cn.id = mc.company_id AND at.title LIKE '%Champion%' AND at.movie_id = mc.movie_id AND t.id = mi.movie_id AND kt.kind = 'movie' AND mi_idx.info < '3.5' AND t.production_year > 2000 AND t.id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND mi_idx.movie_id = mc.movie_id AND mi.movie_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.id = mi_idx.info_type_id AND cn.country_code = '[us]' AND it2.id = mi.info_type_id AND mi.movie_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 mi_idx.info < '3.5' AND at.movie_id = mi.movie_id AND it2.id = mi.info_type_id AND kt.kind = 'movie' AND at.title LIKE '%Champion%' AND at.movie_id = mc.movie_id AND it2.info = 'release dates' AND cn.id = mc.company_id AND at.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND mi.movie_id = mc.movie_id AND t.id = mi_idx.movie_id AND t.id = at.movie_id AND cn.country_code = '[us]' AND it1.id = mi_idx.info_type_id AND kt.id = t.kind_id AND mi.movie_id = mi_idx.movie_id AND it1.info = 'rating' AND mi.info LIKE 'USA:%200%' AND t.production_year > 2000 AND mi_idx.movie_id = mc.movie_id AND t.id = mi.movie_id | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.name LIKE '%Downey%Robert%' AND k.keyword = 'marvel-cinematic-universe' AND k.id = mk.keyword_id AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.production_year > 2010 | 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 cn.country_code = '[jp]' AND mc.note NOT LIKE '%(USA)%' AND ci.role_id = rt.id AND n1.name NOT LIKE '%Yu%' AND mc.note LIKE '%(Japan)%' AND ci.note = '(voice: English version)' AND mc.company_id = cn.id AND an1.person_id = n1.id AND t.id = mc.movie_id AND rt.role = 'actress' AND n1.id = ci.person_id AND n1.name LIKE '%Yo%' AND an1.person_id = ci.person_id AND ci.movie_id = t.id LIMIT 100; | job |
Select Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v Where p.Id = v.PostId And p.FavoriteCount >= 0 And p.Id = c.PostId And c.Score = 0 And pl.LinkTypeId = 1 And p.Id = ph.PostId And p.Id = pl.PostId LIMIT 10; | stats |
With _q As ( Select o_year, Sum( Case When nation = 1 Then volume Else 0 End ) / Sum(volume) As mkt_share From ( Select EXTRACT(YEAR From o_orderdate) As o_year, l_extendedprice * (1 - l_discount) As volume, n2.n_name As nation From part, supplier, lineitem, orders, customer, nation n1, nation n2, region Where p_partkey = l_partkey And s_suppkey = l_suppkey And l_orderkey = o_orderkey And o_custkey = c_custkey And c_nationkey = n1.n_nationkey And n1.n_regionkey = r_regionkey And r_name = 1 And s_nationkey = n2.n_nationkey And o_orderdate Between DATE '1995-01-01' And DATE '1996-12-31' And p_type = 1 ) As all_nations Group By o_year Order By o_year ) Select * From _q LIMIT 1000; | tpch |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE s_nationkey = n_nationkey 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_partkey = ps_partkey AND p_size = 1 AND p_type LIKE 1 AND n_regionkey = r_regionkey AND s_suppkey = ps_suppkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
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 = 10 AND d_year = 2002 AND ca_country = 'United States' AND ( (hd_dep_count = 3 and hd_vehicle_count <= 3) or (hd_dep_count = 2 and hd_vehicle_count <= 2) or (hd_dep_count = 4 and hd_vehicle_count <= 5) ) AND ( (cd_marital_status = 'M' and cd_education_status = 'College' and ss_sales_price BETWEEN 78 AND 126) or (cd_marital_status = 'D' and cd_education_status = 'Primary' and ss_sales_price BETWEEN 69 AND 117) or (cd_marital_status = 'D' and cd_education_status = 'College' and ss_sales_price BETWEEN 147 AND 164) ) AND ca_state in ('OH', 'GA', 'NY') | 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 ct.id = mc.company_type_id and (mc.note like '%(co-production)%' or mc.note like '%(presents)%') and it.info = 'bottom 10 rank' and it.id = mi.info_type_id and t.id = mi.movie_id and mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' and ct.kind = 'production companies' and t.id = mc.movie_id | job |
Select COUNT(1) From comments As c, posts As p, postLinks As pl Where p.CreationDate >= '2010-07-23 07:27:31'::timestamp AND p.Id = pl.PostId AND p.CommentCount <= 18 AND p.CreationDate <= '2014-09-09 01:43:00'::timestamp AND c.UserId = p.OwnerUserId | stats |
select sum(ss_ext_wholesale_cost), avg(ss_ext_wholesale_cost), avg(ss_ext_sales_price), 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 = 8 and d_year = 2002 and ( (cd_marital_status = 'M' and cd_education_status = 'College' and ss_sales_price between 89 and 113) or (cd_marital_status = 'M' and cd_education_status = 'Secondary' and ss_sales_price between 53 and 128) or (cd_marital_status = 'D' and cd_education_status = 'Advanced Degree' and ss_sales_price between 110 and 166) ) and ( (hd_dep_count = 1 and hd_vehicle_count <= 4) or (hd_dep_count = 3 and hd_vehicle_count <= 4) or (hd_dep_count = 6 and hd_vehicle_count <= 3) ) and ca_country = 'United States' and ca_state in ('TX', 'WA', 'FL'); | tpcds |
select min(n.name) as voicing_actress, min(t.title) as voiced_movie from aka_name as an, char_name as chn, cast_info as ci, company_name as cn, info_type as it, movie_companies as mc, movie_info as mi, name as n, role_type as rt, title as t where an.person_id = n.id AND rt.role = 'actress' AND ci.role_id = rt.id AND mi.movie_id = ci.movie_id AND t.id = mc.movie_id AND ci.note in ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND chn.id = ci.person_role_id AND it.info = 'release dates' AND mc.note like '%(USA)%' AND ci.person_id = an.person_id AND n.gender = 'f' AND t.id = mi.movie_id AND it.id = mi.info_type_id AND t.production_year > 2000 AND cn.country_code = '[us]' AND t.id = ci.movie_id AND n.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 rt.role = 'actor' AND ci.note LIKE '%(uncredited)%' AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.country_code = '[ru]' AND chn.id = ci.person_role_id AND t.production_year > 2005 AND cn.id = mc.company_id AND rt.id = ci.role_id AND t.id = ci.movie_id AND ci.note LIKE '%(voice)%' | job |
select count(*) from posts as p, postLinks as pl, users as u where p.Id = pl.PostId and p.OwnerUserId = u.Id and p.CommentCount <= 17 and u.CreationDate <= '2014-09-12 07:12:16'::timestamp limit 20; | stats |
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 ct.id = mc.company_type_id AND ci.note LIKE '%(voice)%' AND chn.id = ci.person_role_id AND t.production_year > 2005 AND ci.note LIKE '%(uncredited)%' AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND rt.id = ci.role_id AND t.id = mc.movie_id AND cn.id = mc.company_id AND cn.country_code = '[ru]' AND rt.role = 'actor' | job |
SELECT s_address, s_name, total_revenue, s_suppkey, s_phone FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) ORDER BY s_suppkey LIMIT 20; | tpch |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND ci.role_id = rt.id AND it.id = mi.info_type_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = mc.movie_id AND an.person_id = n.id AND chn.id = ci.person_role_id AND ci.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND cn.id = mc.company_id AND it.info = 'release dates' AND rt.role = 'actress' AND mi.movie_id = ci.movie_id AND t.production_year > 2000 AND t.id = mi.movie_id AND mi.movie_id = mc.movie_id AND ci.person_id = an.person_id AND t.id = ci.movie_id AND n.gender = 'f' AND n.id = ci.person_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 ci.movie_id = mk.movie_id AND t.production_year > 2010 AND n.id = ci.person_id AND n.name Like '%Hemsworth%Chris%' AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND k.id = mk.keyword_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 n.id = ci.person_id AND ci.note LIKE '%(voice: English version)%' AND mc.note NOT LIKE '%(USA)%' AND ci.role_id = rt.id AND ct.id = mc.company_type_id AND k.id = mk.keyword_id AND mk.movie_id = ci.movie_id AND cn.country_code = '[jp]' AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND cn.id = mc.company_id AND an.person_id = n.id AND t.production_year > 1990 AND mk.movie_id = mc.movie_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.person_id = an.person_id AND n.gender = 'f' AND mc.note LIKE '%(Japan)%' AND t.id = mc.movie_id AND k.keyword = 'anime' | 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 it1.info = 'countries' AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = mi_idx.movie_id AND mi_idx.info < '7.0' AND mk.movie_id = mi.movie_id AND it1.id = mi.info_type_id AND mi.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND cn.id = mc.company_id AND mc.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND t.id = mi_idx.movie_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND mc.note LIKE '%(200%)%' AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND kt.kind IN ('movie', 'episode') AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND it2.info = 'rating' AND t.production_year > 2008 AND cn.country_code != '[us]' LIMIT 100; | job |
SELECT MAX(t.title) AS movie_title, MAX(mi_idx.info) AS rating FROM info_type AS it, movie_info_idx AS mi_idx, title AS t WHERE it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND it.info ='rating' AND mi_idx.info > '8.0' AND t.production_year BETWEEN 2000 AND 2005 | job |
Select s_store_name, s_store_id, Max(sr_net_loss) As store_returns_loss, i_item_id, i_item_desc, Max(ss_net_profit) As store_sales_profit, Max(cs_net_profit) As catalog_sales_profit From store_sales INNER JOIN store_returns On store_sales.ss_customer_sk = store_returns.sr_customer_sk And store_sales.ss_item_sk = store_returns.sr_item_sk And store_sales.ss_ticket_number = store_returns.sr_ticket_number INNER JOIN catalog_sales On store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk And store_returns.sr_item_sk = catalog_sales.cs_item_sk INNER JOIN date_dim As d1 On store_sales.ss_sold_date_sk = d1.d_date_sk INNER JOIN date_dim As d2 On store_returns.sr_returned_date_sk = d2.d_date_sk INNER JOIN date_dim As d3 On catalog_sales.cs_sold_date_sk = d3.d_date_sk INNER JOIN store On store_sales.ss_store_sk = store.s_store_sk INNER JOIN item On store_sales.ss_item_sk = item.i_item_sk Where d2.d_moy BETWEEN 2 AND 8 + 3 AND d1.d_year = 2001 AND d1.d_moy <= 8 AND d2.d_year = 2001 AND d3.d_year = 2001 AND d1.d_moy >= 2 AND d3.d_moy BETWEEN 2 AND 8 + 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(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 ci.note like '%(uncredited)%' and cn.id = mc.company_id and cn.country_code = '[ru]' and ct.id = mc.company_type_id and ci.movie_id = mc.movie_id and t.production_year > 2005 and t.id = ci.movie_id and rt.id = ci.role_id and ci.note like '%(voice)%' and rt.role = 'actor' | job |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE p_partkey = l_partkey AND l_orderkey = o_orderkey AND s_suppkey = l_suppkey AND o_custkey = c_custkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND r_name = 1 AND p_type = 1 ) AS all_nations AND c_nationkey = n1.n_nationkey AND s_nationkey = n2.n_nationkey AND n1.n_regionkey = r_regionkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT o_year, SUM(amount) AS sum_profit, 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 ps_suppkey = l_suppkey AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey AND s_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND ps_partkey = l_partkey AND p_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
Select Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v, badges As b Where p.Id = v.PostId And p.Id = pl.RelatedPostId And c.Score = 0 And p.Id = c.PostId And b.UserId = c.UserId And p.Id = ph.PostId And pl.LinkTypeId = 1 | 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 o_orderkey = l_orderkey AND l_shipmode = ANY(ARRAY[1, 1]) AND l_shipdate < l_commitdate AND l_receiptdate >= DATE 1 AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_commitdate < l_receiptdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT AVG(ss_quantity), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost), AVG(ss_ext_sales_price) 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 ( (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 d_year = 1999 AND ca_state IN ('TX', 'WA', 'FL') AND s_market_id = 4 AND ca_country = 'United States' 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) ) | 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 mi.movie_id = miidx.movie_id AND mc.movie_id = t.id AND cn.country_code = '[de]' AND mi.movie_id = t.id AND ct.id = mc.company_type_id AND it2.id = mi.info_type_id AND miidx.movie_id = mc.movie_id AND kt.id = t.kind_id AND it.id = miidx.info_type_id AND ct.kind = 'production companies' AND it.info = 'rating' AND miidx.movie_id = t.id AND kt.kind = 'movie' AND mi.movie_id = mc.movie_id AND it2.info = 'release dates' AND cn.id = mc.company_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 ci.note LIKE '%(uncredited)%' AND t.id = ci.movie_id AND ci.note LIKE '%(voice)%' AND cn.country_code = '[ru]' AND ct.id = mc.company_type_id AND t.production_year > 2005 AND ci.movie_id = mc.movie_id AND rt.role = 'actor' AND t.id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id | job |
SELECT STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, s_state, COUNT(ss_quantity) AS store_sales_quantitycount, i_item_desc, i_item_id, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, AVG(ss_quantity) AS store_sales_quantityave, COUNT(cs_quantity) AS catalog_sales_quantitycount FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '1999Q2' AND d2.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') AND d3.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT MIN(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 ct.id = mc.company_type_id AND t.id = mi.movie_id AND t.id = mc.movie_id AND ct.kind = 'production companies' AND it.info = 'bottom 10 rank' AND it.id = mi.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' | 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.id = mk.movie_id AND t.production_year > 2005 AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id LIMIT 1000; | job |
SELECT cnt, c_first_name, ss_ticket_number, c_last_name, c_salutation, 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 >= 1 AND d_dom <= 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.56 AND d_year IN (2000, 2000, 2003) AND s_county IN ('Williamson County', 'Washington County', 'Placer County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND it.info = 'top 250 rank' AND ct.kind = 'production companies' AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE t.id = mi.movie_id AND it.id = mi.info_type_id AND t.id = ci.movie_id AND t.production_year > 2000 AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND cn.country_code = '[us]' AND mc.note LIKE '%(USA)%' AND n.id = ci.person_id AND n.gender = 'f' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND cn.id = mc.company_id AND rt.role = 'actress' AND mi.movie_id = mc.movie_id AND an.person_id = n.id AND it.info = 'release dates' AND ci.role_id = rt.id AND t.id = mc.movie_id AND mi.movie_id = ci.movie_id AND ci.movie_id = mc.movie_id | job |
SELECT MAX(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 ct.id = mc.company_type_id AND t.id = mc.movie_id AND it.info = 'bottom 10 rank' AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi.movie_id | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND o_orderkey = l1.l_orderkey AND o_orderstatus = 'F' AND n_name = 1 AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND l1.l_receiptdate > l1.l_commitdate AND 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 ) GROUP BY s_name ORDER BY numwait ASC, s_name LIMIT 100 | 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 t.id = ml.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND lt.link LIKE '%follow%' AND t.id = mk.movie_id AND it.id = mi.info_type_id AND ml.movie_id = mc.movie_id AND t.production_year > 1950 AND mi.note LIKE '%internet%' AND ct.id = mc.company_type_id AND cn.country_code = '[us]' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.note LIKE '%(USA)%' AND it.info = 'release dates' AND ml.movie_id = mk.movie_id AND t.id = mc.movie_id AND mi.movie_id = t.id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND k.id = mk.keyword_id AND lt.id = ml.link_type_id AND cn.id = mc.company_id AND mi.info LIKE 'USA:% 199%' | job |
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