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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 k.keyword ='character-name-In-title' AND cn.country_code ='[sm]' AND mk.keyword_id = k.id AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id | job |
SELECT p_brand, p_type, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_size FROM partsupp, part WHERE p_brand <> 1 AND p_type NOT LIKE 1 AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_partkey = ps_partkey AND p_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 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_suppkey = l_suppkey AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey AND p_partkey = l_partkey AND ps_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year DESC LIMIT 200; | 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 ='[sm]' AND cn.id = mc.company_id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = t.id AND k.keyword ='character-name-in-title' AND mc.movie_id = mk.movie_id | job |
Select Count(1) From comments As c, votes As v, users As u Where u.Id = c.UserId AND c.CreationDate >= '2010-08-10 17:55:45'::timestamp AND u.Id = v.UserId AND u.Reputation >= 1 | stats |
SELECT AVG(cs_list_price) AS agg2, i_item_id, AVG(cs_sales_price) AS agg4, AVG(cs_quantity) AS agg1, AVG(cs_coupon_amt) AS agg3 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 (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'M' AND d_year = 2000 AND cd_marital_status = 'W' AND cd_education_status = 'Advanced Degree' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
select min(k.keyword) as movie_keyword, min(n.name) as actor_name, min(t.title) as marvel_movie from cast_info as ci, keyword as k, movie_keyword as mk, name as n, title as t where n.name like '%Downey%Robert%' and n.id = ci.person_id and t.production_year > 2010 and ci.movie_id = mk.movie_id and k.id = mk.keyword_id and t.id = mk.movie_id and t.id = ci.movie_id and k.keyword = 'marvel-cinematic-universe' | job |
SELECT s_name, p_mfgr, s_address, s_phone, s_comment, s_acctbal, p_partkey, n_name FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT SUM(l_quantity) AS sum_qty, l_returnflag, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_extendedprice) AS sum_base_price, l_linestatus, AVG(l_quantity) AS avg_qty, AVG(l_discount) AS avg_disc, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT 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.title LIKE '%Champion%' AND kt.kind = 'movie' AND it1.id = mi_idx.info_type_id AND t.id = at.movie_id AND t.id = mi.movie_id AND at.movie_id = mi.movie_id AND kt.id = t.kind_id AND at.movie_id = mi_idx.movie_id AND cn.country_code = '[us]' AND mi.movie_id = mi_idx.movie_id AND t.production_year > 2000 AND mi.info LIKE 'USA:%200%' AND t.id = mc.movie_id AND it2.id = mi.info_type_id AND mi_idx.movie_id = mc.movie_id AND it1.info = 'rating' AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND at.movie_id = mc.movie_id AND it2.info = 'release dates' AND t.id = mi_idx.movie_id AND mi_idx.info < '3.5' | job |
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 k.id = mk.keyword_id AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND t.production_year > 2010 | 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 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.id = mi.info_type_id and mc.movie_id = mi.movie_id and ct.kind = 'production companies' and it.info = 'bottom 10 rank' and t.id = mi.movie_id and mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, votes AS v, users AS u WHERE u.Id = c.UserId AND u.Id = p.OwnerUserId AND p.Score >= 0 AND c.Score = 0 AND p.ViewCount >= 0 AND u.Id = v.UserId LIMIT 200; | stats |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE ps_partkey = l_partkey AND p_partkey = l_partkey AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey AND s_suppkey = l_suppkey AND ps_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit GROUP BY nation, o_year ORDER BY nation, o_year DESC | 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 mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND t.id = mi.movie_id AND it.info = 'bottom 10 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND mc.movie_id = mi.movie_id AND it.id = mi.info_type_id | job |
Select Sum(cs_quantity) As catalog_sales_quantity, s_store_name, Sum(sr_return_quantity) As store_returns_quantity, i_item_desc, i_item_id, s_store_id, Sum(ss_quantity) As store_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 d1.d_moy = 2 And d1.d_year = 2001 And d2.d_moy Between 2 And 2 + 3 And d2.d_year = 2001 And d3.d_moy Between 2 And 2 + 3 And d3.d_year = 2001 Group By i_item_id, i_item_desc, s_store_id, s_store_name Order By i_item_id, i_item_desc, s_store_id, s_store_name Limit 100; | tpcds |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE it1.id = mi_idx.info_type_id AND mi_idx.info < '3.5' AND t.production_year > 2000 AND it2.info = 'release dates' AND mi.movie_id = mi_idx.movie_id AND it2.id = mi.info_type_id AND mi_idx.movie_id = mc.movie_id AND mi.info LIKE 'USA:%200%' AND t.id = at.movie_id AND at.title LIKE '%Champion%' AND t.id = mi.movie_id AND cn.id = mc.company_id AND at.movie_id = mc.movie_id AND t.id = mc.movie_id AND cn.country_code = '[us]' AND kt.id = t.kind_id AND mi.movie_id = mc.movie_id AND kt.kind = 'movie' AND at.movie_id = mi_idx.movie_id AND at.movie_id = mi.movie_id AND it1.info = 'rating' AND t.id = mi_idx.movie_id | job |
WITH _q AS ( SELECT s_suppkey, total_revenue, s_phone, s_address, 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 s_name, s_address, s_phone, s_suppkey, total_revenue FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) ORDER BY s_suppkey LIMIT 500; | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE p.Id = ph.PostId AND b.UserId = u.Id AND p.Id = v.PostId AND p.Score <= 40 AND p.Id = c.PostId AND pl.LinkTypeId = 1 AND c.UserId = u.Id AND p.Id = pl.RelatedPostId | stats |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE miidx.movie_id = mc.movie_id AND kt.kind = 'movie' AND miidx.movie_id = t.id AND it.info = 'rating' AND ct.id = mc.company_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = t.id AND cn.country_code = '[de]' AND kt.id = t.kind_id AND ct.kind = 'production companies' AND it2.info = 'release dates' AND it2.id = mi.info_type_id AND cn.id = mc.company_id AND it.id = miidx.info_type_id AND mi.movie_id = mc.movie_id AND mc.movie_id = t.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 k.keyword ='character-name-In-title' And cn.country_code ='[sm]' And mc.movie_id = mk.movie_id And mc.movie_id = t.id And cn.id = mc.company_id And t.id = mk.movie_id And mk.keyword_id = k.id LIMIT 10; | job |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE r_name = 1 AND c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND n_regionkey = r_regionkey AND c_nationkey = s_nationkey AND s_nationkey = n_nationkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND l_suppkey = s_suppkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND p_type LIKE 1 AND s_nationkey = n_nationkey AND s_suppkey = ps_suppkey 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 ) AND p_size = 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT l_returnflag, AVG(l_quantity) AS avg_qty, AVG(l_discount) AS avg_disc, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_quantity) AS sum_qty, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, l_linestatus, SUM(l_extendedprice) AS sum_base_price FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT cnt, c_first_name, c_preferred_cust_flag, ss_ticket_number, c_last_name, c_salutation FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_dom BETWEEN 1 AND 2 AND s_county IN ('Williamson County', 'Jefferson County', 'Jackson County', 'Champaign County') AND d_year IN (1999, 2002, 2001) AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') 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 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 lt.id = ml.link_type_id AND lt.link = 'features' AND an.person_id = ci.person_id AND t.id = ci.movie_id AND it.id = pi.info_type_id AND it.info = 'mini biography' AND ci.person_id = n.id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.person_id = an.person_id AND ml.linked_movie_id = t.id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND pi.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id AND an.name LIKE '%a%' AND n.id = pi.person_id AND n.id = an.person_id AND t.production_year BETWEEN 1980 AND 1995 AND pi.note = 'Volker Boehm' LIMIT 200; | 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.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND n.name LIKE '%Downey%Robert%' AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id LIMIT 100; | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mc.movie_id AND t.id = mi_idx.movie_id AND it.info = 'top 250 rank' AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi_idx.info_type_id AND ct.kind = 'production companies' | job |
SELECT i_item_id, SUM(CASE WHEN (CAST(d_date AS DATE) >= CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_after, w_state, SUM(CASE WHEN (CAST(d_date AS DATE) < CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_before FROM catalog_sales LEFT JOIN catalog_returns ON cs_order_number = cr_order_number AND cs_item_sk = cr_item_sk JOIN warehouse ON cs_warehouse_sk = w_warehouse_sk JOIN item ON i_item_sk = cs_item_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk WHERE i_current_price BETWEEN 89.17 AND 89.17 + 1.49 AND d_date BETWEEN (CAST('2000-03-11' AS DATE) - INTERVAL '30 days') AND (CAST('2000-03-11' AS DATE) + INTERVAL '30 days') GROUP BY w_state, i_item_id ORDER BY w_state, i_item_id LIMIT 100; | tpcds |
select count(*) from postHistory as ph, posts as p, votes as v, badges as b, users as u, comments as c where u.Id = p.OwnerUserId AND p.Score <= 192 AND p.ViewCount >= 0 AND p.Id = ph.PostId AND p.Id = c.PostId AND u.Id = b.UserId AND p.Id = v.PostId limit 50; | stats |
WITH _q AS ( SELECT s_suppkey, s_name, s_address, s_phone, total_revenue FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) ORDER BY s_suppkey ) SELECT * FROM _q LIMIT 100; | 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 l_orderkey = o_orderkey AND c_custkey = o_custkey AND o_orderdate >= DATE 1 AND c_nationkey = n_nationkey AND l_returnflag = 'R' AND o_orderdate < DATE 1 + INTERVAL '3' MONTH GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
With year_total As ( Select c_first_name As customer_first_name, c_customer_id As customer_id, Sum(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) As year_total, 's' As sale_type, c_preferred_cust_flag As customer_preferred_cust_flag, c_last_name As customer_last_name, d_year As dyear, c_email_address As customer_email_address, c_birth_country As customer_birth_country, c_login As customer_login From customer Join store_sales On c_customer_sk = ss_customer_sk Join date_dim On ss_sold_date_sk = d_date_sk Where d_year Between 2002 And 2002 + 1 Group By c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) Select t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address From year_total As t_s_firstyear Join year_total As t_s_secyear On t_s_firstyear.customer_id = t_s_secyear.customer_id Where t_s_firstyear.sale_type = 's' And t_s_secyear.sale_type = 's' And t_s_firstyear.dyear = 2002 And t_s_secyear.dyear = 2002 + 1 And t_s_firstyear.year_total > 0 And Case When t_s_firstyear.year_total > 0 Then t_s_secyear.year_total / t_s_firstyear.year_total Else NULL End > 1.0 Order By t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address Limit 100; | tpcds |
SELECT i_brand_id AS brand_id, i_brand AS brand, SUM(ss_ext_sales_price) AS ext_price, i_manufact, i_manufact_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 d_year = 2002 AND i_manager_id = 77 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 MAX(n.name) AS of_person, MAX(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE n.id = an.person_id AND lt.id = ml.link_type_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND t.id = ci.movie_id AND pi.note = 'Volker Boehm' AND it.info = 'mini biography' AND it.id = pi.info_type_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND t.production_year BETWEEN 1980 AND 1995 AND n.id = pi.person_id AND pi.person_id = ci.person_id AND ci.person_id = n.id AND an.name LIKE '%a%' AND ml.linked_movie_id = t.id AND pi.person_id = an.person_id AND lt.link = 'features' AND ci.movie_id = ml.linked_movie_id AND an.person_id = ci.person_id | job |
SELECT p_mfgr, s_phone, s_name, s_address, s_acctbal, s_comment, n_name, p_partkey FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, postHistory AS ph, votes AS v, users AS u WHERE v.UserId = ph.UserId AND u.Id = v.UserId AND u.DownVotes >= 0 AND ph.UserId = c.UserId AND u.Views >= 0 AND u.UpVotes <= 123 ) SELECT * FROM _q | stats |
Select Min(t.title) As movie_title From company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, title As t Where k.keyword ='character-name-In-title' And mc.movie_id = t.id And t.id = mk.movie_id And mc.movie_id = mk.movie_id And cn.country_code ='[nl]' And cn.id = mc.company_id And mk.keyword_id = k.id | job |
WITH _q AS ( SELECT COUNT(*) FROM postHistory AS ph, posts AS p, users AS u, badges AS b WHERE p.Score >= -7 AND u.Reputation >= 1 ) SELECT * FROM _q AND ph.UserId = u.Id AND ph.PostHistoryTypeId = 3 AND u.Id = b.UserId AND p.OwnerUserId = u.Id | stats |
SELECT MIN(t.title) AS movie_title, MIN(mi_idx.info) AS rating FROM info_type AS it, movie_info_idx AS mi_idx, title AS t WHERE mi_idx.info > '8.0' AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND it.info ='rating' AND t.production_year BETWEEN 2000 AND 2005 LIMIT 1000; | job |
select count(*) from postHistory as ph, posts as p, votes as v, badges as b, users as u, comments as c where p.Id = v.PostId and p.Score <= 192 and u.Id = p.OwnerUserId and u.Id = b.UserId and p.ViewCount >= 0 and p.Id = ph.PostId and p.Id = c.PostId | stats |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE t.id = mk.movie_id AND t.episode_nr >= 50 AND ci.movie_id = mc.movie_id AND k.keyword = 'character-name-in-title' AND cn.country_code = '[us]' AND an.person_id = n.id AND mc.movie_id = mk.movie_id AND mc.company_id = cn.id AND n.id = ci.person_id AND t.episode_nr < 100 AND ci.movie_id = mk.movie_id AND an.person_id = ci.person_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND ci.movie_id = t.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 l_receiptdate < DATE 1 + INTERVAL '1' YEAR and l_shipmode in (1, 1) and l_shipdate < l_commitdate and l_commitdate < l_receiptdate and l_receiptdate >= DATE 1 and o_orderkey = l_orderkey group by l_shipmode order by l_shipmode | 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 an.person_id = n.id AND t.production_year > 2000 AND t.id = mi.movie_id AND cn.country_code = '[us]' AND ci.role_id = rt.id AND mi.movie_id = ci.movie_id AND rt.role = 'actress' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.person_id = an.person_id AND ci.movie_id = mc.movie_id AND it.info = 'release dates' AND t.id = mc.movie_id AND t.id = ci.movie_id AND chn.id = ci.person_role_id AND it.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND n.gender = 'f' AND n.id = ci.person_id AND mc.note LIKE '%(USA)%' AND cn.id = mc.company_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 ca_country = 'United States' AND ca_state IN ('TX', 'WA', 'FL') 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 s_market_id = 4 AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price >= 83 AND ss_sales_price <= 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 | tpcds |
SELECT SUM(l_quantity) AS sum_qty, COUNT(*) AS count_order, SUM(l_extendedprice) AS sum_base_price, AVG(l_discount) AS avg_disc, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_returnflag, AVG(l_extendedprice) AS avg_price, l_linestatus FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE ps_partkey = l_partkey AND s_suppkey = l_suppkey AND ps_suppkey = l_suppkey AND o_orderkey = l_orderkey AND p_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year ASC | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mc.movie_id AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'top 250 rank' AND ct.id = mc.company_type_id AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id | 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 miidx.movie_id = mc.movie_id And cn.country_code = '[de]' And cn.id = mc.company_id And miidx.movie_id = t.id And mi.movie_id = mc.movie_id And it2.id = mi.info_type_id And kt.id = t.kind_id And ct.id = mc.company_type_id And it.info = 'rating' And it.id = miidx.info_type_id And mi.movie_id = t.id And ct.kind = 'production companies' And mi.movie_id = miidx.movie_id And it2.info = 'release dates' And kt.kind = 'movie' And mc.movie_id = t.id | job |
SELECT MAX(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.id = mk.keyword_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.keyword LIKE '%sequel%' AND t.production_year > 2010 AND mk.movie_id = mi.movie_id | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword LIKE '%sequel%' AND mk.movie_id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.id = mk.movie_id AND k.id = mk.keyword_id AND t.id = mi.movie_id AND t.production_year > 2005 | 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 i_category = 'Jewelry' AND d_year = 2002 AND ca_gmt_offset = -6 AND s_gmt_offset = -6 AND i_category = 'Jewelry' 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 d_year = 2002 AND d_moy = 12 ) AS all_sales AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -6 ORDER BY promotions, total LIMIT 100; | tpcds |
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 mk.movie_id = mc.movie_id AND lt.link like '%follow%' AND mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' AND ml.movie_id = mi.movie_id AND it.id = mi.info_type_id AND mi.note like '%internet%' AND t.id = ml.movie_id AND mi.info like 'USA:% 199%' AND cn.country_code = '[us]' AND k.id = mk.keyword_id AND ml.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND k.keyword in ('sequel', 'revenge', 'based-on-novel') AND t.production_year > 1950 AND mc.note like '%(USA)%' AND t.id = mk.movie_id AND cn.id = mc.company_id AND it.info = 'release dates' AND ml.movie_id = mk.movie_id AND mi.movie_id = t.id | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = t.id AND cn.id = mc.company_id AND cn.country_code ='[sm]' AND mk.keyword_id = k.id AND t.id = mk.movie_id AND k.keyword ='character-name-in-title' AND mc.movie_id = mk.movie_id | job |
WITH _q AS ( SELECT SUM(l_extendedprice * l_discount) AS revenue FROM lineitem WHERE l_quantity < 1 ) SELECT * FROM _q AND l_discount BETWEEN 1 - 0.01 AND 1 + 0.01 AND l_shipdate >= DATE 1 AND l_shipdate < DATE 1 + INTERVAL '1' YEAR LIMIT 10; | tpch |
SELECT COUNT(1) FROM comments AS c, posts AS p, users AS u WHERE p.CommentCount >= 0 AND p.FavoriteCount >= 0 AND p.ViewCount >= 0 AND c.UserId = u.Id AND u.Id = p.OwnerUserId AND c.CreationDate >= '2010-08-05 00:36:02'::timestamp | stats |
Select Min(k.keyword) As movie_keyword, Min(n.name) As actor_name, Min(t.title) As marvel_movie From cast_info As ci, keyword As k, movie_keyword As mk, name As n, title As t Where ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND t.id = ci.movie_id AND n.id = ci.person_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND n.name Like '%Hemsworth%Chris%' AND t.id = mk.movie_id | 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 o_orderdate < DATE 1 + INTERVAL '3' MONTH And o_orderdate >= DATE 1 And l_orderkey = o_orderkey And l_returnflag = 'R' And c_nationkey = n_nationkey And c_custkey = o_custkey Group By c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment Order By revenue Desc Limit 20 | tpch |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, movie_info_idx AS mi_idx, title AS t WHERE mi_idx.info > '8.0' AND t.production_year <= 2005 AND t.id = mi_idx.movie_id AND it.info ='rating' AND it.id = mi_idx.info_type_id AND t.production_year >= 2000 LIMIT 1000; | 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.id = mc.company_type_id AND kt.kind = 'movie' AND mc.movie_id = t.id AND cn.id = mc.company_id AND it.id = miidx.info_type_id AND kt.id = t.kind_id AND it.info = 'rating' AND miidx.movie_id = t.id AND mi.movie_id = mc.movie_id AND mi.movie_id = miidx.movie_id AND miidx.movie_id = mc.movie_id AND it2.info = 'release dates' AND cn.country_code = '[de]' AND it2.id = mi.info_type_id AND mi.movie_id = t.id AND ct.kind = 'production companies' | job |
Select Count(*) From comments As c, posts As p, users As u Where p.CommentCount >= 0 AND c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND c.UserId = u.Id AND p.ViewCount >= 0 AND u.Id = p.OwnerUserId AND p.FavoriteCount >= 0 | stats |
select avg(l_extendedprice) as avg_price, sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) as sum_charge, l_returnflag, sum(l_extendedprice) as sum_base_price, sum(l_extendedprice * (1 - l_discount)) as sum_disc_price, avg(l_quantity) as avg_qty, count(*) as count_order, sum(l_quantity) as sum_qty, avg(l_discount) as avg_disc, l_linestatus from lineitem where l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY group by l_returnflag, l_linestatus order by l_returnflag, l_linestatus | tpch |
SELECT MIN(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.id = mc.company_type_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'top 250 rank' | job |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE ml.movie_id = mc.movie_id AND t.id = mc.movie_id AND ml.movie_id = mk.movie_id AND it.info = 'release dates' AND ml.movie_id = mi.movie_id AND t.id = ml.movie_id AND it.id = mi.info_type_id AND t.id = mk.movie_id AND k.id = mk.keyword_id AND mi.note LIKE '%internet%' AND lt.link LIKE '%follow%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mc.note LIKE '%(USA)%' AND mk.movie_id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND cn.country_code = '[us]' AND lt.id = ml.link_type_id AND mi.info LIKE 'USA:% 199%' AND cn.id = mc.company_id AND t.production_year > 1950 AND mi.movie_id = t.id AND ct.id = mc.company_type_id | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id | job |
Select Count(*) From postHistory As ph, posts As p, users As u, badges As b Where ph.UserId = u.Id AND p.OwnerUserId = u.Id AND p.Score >= -7 AND u.Reputation >= 1 AND u.Id = b.UserId AND ph.PostHistoryTypeId = 3 | stats |
select c_count, count(*) as custdist from ( select c_custkey, count(o_orderkey) as c_count from customer left 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 desc, c_count desc LIMIT 50; | tpch |
SELECT item.i_brand AS brand, dt.d_year, item.i_brand_id AS brand_id, SUM(ss_ext_sales_price) AS ext_price 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_manager_id = 11 AND dt.d_moy = 12 AND dt.d_year = 2001 GROUP BY dt.d_year, item.i_brand, item.i_brand_id ORDER BY dt.d_year, ext_price DESC, brand_id LIMIT 100; | tpcds |
SELECT AVG(l_discount) AS avg_disc, AVG(l_quantity) AS avg_qty, l_linestatus, SUM(l_quantity) AS sum_qty, l_returnflag, COUNT(*) AS count_order, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_extendedprice) AS sum_base_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT ss_ticket_number, list_price, c_first_name, c_last_name, bought_city, extended_tax, extended_price, 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 = 4 OR hd_vehicle_count = 4) AND d_dow IN (6, 0) AND d_year IN (2001, 2000, 2001) AND s_city IN ('Clinton', 'Glendale') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE s_gmt_offset = -7 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND ca_gmt_offset = -7 AND d_year = 1998 AND d_moy = 8 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -7 AND i_category = 'Music' AND d_year = 1998 AND s_gmt_offset = -7 AND i_category = 'Music' AND d_moy = 8 ) AS all_sales ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE p_type LIKE 1 AND s_nationkey = n_nationkey AND p_size = 1 AND n_regionkey = r_regionkey AND p_partkey = ps_partkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND s_suppkey = ps_suppkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT c_first_name, c_last_name, ss_ticket_number, c_salutation, cnt, c_preferred_cust_flag FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_dom <= 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND s_county IN ('Williamson County', 'Jefferson County', 'Jackson County', 'Champaign County') AND hd_vehicle_count > 0 AND d_year IN (1999, 2002, 2001) AND d_dom >= 1 GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, movie_info_idx AS mi_idx, title AS t WHERE mi_idx.info > '8.0' AND it.info ='rating' AND t.production_year >= 2000 AND t.production_year <= 2005 AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_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 k.id = mk.keyword_id AND kt.id = t.kind_id AND mi.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.id = mi_idx.movie_id AND cn.id = mc.company_id AND mk.movie_id = mc.movie_id AND cn.country_code != '[us]' AND it2.id = mi_idx.info_type_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND it2.info = 'rating' AND mi.movie_id = mc.movie_id AND t.id = mi.movie_id AND kt.kind IN ('movie', 'episode') AND mk.movie_id = mi.movie_id AND t.production_year > 2008 AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND mc.note LIKE '%(200%)%' AND it1.id = mi.info_type_id AND mk.movie_id = mi_idx.movie_id AND t.id = mk.movie_id AND mi_idx.info < '7.0' AND t.id = mc.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it1.info = 'countries' | job |
SELECT p_brand, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_type, p_size FROM partsupp, part WHERE p_type NOT LIKE 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%' ) AND p_brand <> 1 AND p_partkey = ps_partkey GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
Select 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 t.production_year Between 1980 And 1995 And it.id = pi.info_type_id And (n.gender = 'm' Or (n.gender = 'f' And n.name Like 'B%')) And t.id = ci.movie_id And an.person_id = ci.person_id And pi.person_id = an.person_id And lt.id = ml.link_type_id And an.name Like '%a%' And ml.linked_movie_id = t.id And pi.person_id = ci.person_id And ci.movie_id = ml.linked_movie_id And it.info = 'mini biography' And n.id = pi.person_id And n.name_pcode_cf Between 'A' And 'F' And ci.person_id = n.id And n.id = an.person_id And lt.link = 'features' | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 AND t.id = mk.movie_id AND k.id = mk.keyword_id AND n.name LIKE '%Downey%Robert%' AND t.id = ci.movie_id AND n.id = ci.person_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 it.info = 'mini biography' AND an.name LIKE '%a%' AND pi.note = 'Volker Boehm' AND ci.person_id = n.id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND t.production_year BETWEEN 1980 AND 1995 AND n.id = an.person_id AND pi.person_id = an.person_id AND ci.movie_id = ml.linked_movie_id AND n.id = pi.person_id AND pi.person_id = ci.person_id AND lt.id = ml.link_type_id AND ml.linked_movie_id = t.id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND an.person_id = ci.person_id AND t.id = ci.movie_id AND it.id = pi.info_type_id AND lt.link = 'features' | job |
select min(k.keyword) as movie_keyword, min(n.name) as actor_name, min(t.title) as marvel_movie from cast_info as ci, keyword as k, movie_keyword as mk, name as n, title as t where k.keyword = 'marvel-cinematic-universe' and t.id = mk.movie_id and k.id = mk.keyword_id and t.production_year > 2010 and n.name like '%Downey%Robert%' and n.id = ci.person_id and ci.movie_id = mk.movie_id and t.id = ci.movie_id | job |
Select l_returnflag, Sum(l_extendedprice) As sum_base_price, Count(*) As count_order, Avg(l_quantity) As avg_qty, l_linestatus, Avg(l_extendedprice) As avg_price, Sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) As sum_charge, Sum(l_quantity) As sum_qty, Avg(l_discount) As avg_disc, Sum(l_extendedprice * (1 - l_discount)) As sum_disc_price From lineitem Where l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY Group By l_returnflag, l_linestatus Order By l_returnflag, l_linestatus | tpch |
SELECT 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.movie_id = mi_idx.movie_id AND it2.info = 'rating' AND mi.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND it1.id = mi.info_type_id AND kt.id = t.kind_id AND mi_idx.info < '7.0' AND mc.note LIKE '%(200%)%' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mk.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.production_year > 2008 AND cn.country_code != '[us]' AND it1.info = 'countries' AND t.id = mk.movie_id AND mi.movie_id = mc.movie_id AND mk.movie_id = mi.movie_id AND it2.id = mi_idx.info_type_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND k.id = mk.keyword_id AND kt.kind IN ('movie', 'episode') AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi_idx.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.name_pcode_cf BETWEEN 'A' AND 'F' AND n.id = an.person_id AND ci.movie_id = ml.linked_movie_id AND ci.person_id = n.id AND lt.link = 'features' AND pi.note = 'Volker Boehm' AND it.info = 'mini biography' AND an.person_id = ci.person_id AND pi.person_id = ci.person_id AND n.id = pi.person_id AND lt.id = ml.link_type_id AND (n.gender = 'm' Or (n.gender = 'f' And n.name Like 'B%')) AND ml.linked_movie_id = t.id AND pi.person_id = an.person_id AND t.id = ci.movie_id AND an.name Like '%a%' AND it.id = pi.info_type_id AND t.production_year BETWEEN 1980 AND 1995 | job |
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 ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
select COUNT(1) from comments as c, posts as p, votes as v, users as u where u.Id = v.UserId AND p.Score >= 0 AND c.Score = 0 AND p.ViewCount >= 0 AND u.Id = p.OwnerUserId AND u.Id = c.UserId | 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 mi_idx.movie_id = mc.movie_id AND t.id = at.movie_id AND t.id = mc.movie_id AND kt.kind = 'movie' AND t.id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND it2.info = 'release dates' AND mi.movie_id = mc.movie_id AND at.movie_id = mi.movie_id AND it1.info = 'rating' AND it1.id = mi_idx.info_type_id AND mi_idx.info < '3.5' AND at.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND cn.country_code = '[us]' AND cn.id = mc.company_id AND t.production_year > 2000 AND t.id = mi.movie_id AND kt.id = t.kind_id AND it2.id = mi.info_type_id AND at.title LIKE '%Champion%' AND mi.info LIKE 'USA:%200%' | 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 ct.id = mc.company_type_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id | job |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE u.Id = b.UserId AND p.ViewCount >= 0 AND p.Id = ph.PostId AND p.Id = v.PostId AND p.Score <= 192 AND p.Id = c.PostId AND u.Id = p.OwnerUserId LIMIT 500; | stats |
Select Avg(l_quantity) As avg_qty, Count(*) As count_order, l_returnflag, Avg(l_extendedprice) As avg_price, Sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) As sum_charge, Sum(l_quantity) As sum_qty, Sum(l_extendedprice) As sum_base_price, Sum(l_extendedprice * (1 - l_discount)) As sum_disc_price, l_linestatus, 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 keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword LIKE '%sequel%' AND t.id = mk.movie_id AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German']) AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND t.production_year > 2000 AND k.id = mk.keyword_id | job |
SELECT AVG(ss_quantity) AS store_sales_quantityave, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, i_item_id, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, s_state, COUNT(sr_return_quantity) AS store_returns_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_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 d2.d_quarter_name IN ('2001Q1', '2002Q2', '1999Q4') AND d3.d_quarter_name IN ('2001Q1', '2002Q2', '1999Q4') AND d1.d_quarter_name = '2001Q1' 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 ct.kind = 'production companies' AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'bottom 10 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi.movie_id AND t.id = mc.movie_id | job |
Select i_item_id, i_item_desc, i_current_price From item INNER JOIN inventory On i_item_sk = inv_item_sk INNER JOIN date_dim On d_date_sk = inv_date_sk INNER JOIN store_sales On ss_item_sk = i_item_sk Where inv_quantity_on_hand BETWEEN 100 AND 500 AND i_manufact_id In (301, 227, 392, 436) AND d_date BETWEEN CAST('2002-01-23' As DATE) AND (CAST('2002-01-23' As DATE) + INTERVAL '60 days') AND i_current_price BETWEEN 93 AND 93 + 30 Group By i_item_id, i_item_desc, i_current_price Order By i_item_id Limit 100; | tpcds |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND hd_vehicle_count > 0 AND s_county IN ('Williamson County', 'Barrow County', 'Placer County') AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.85 AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND d_year IN (2001, 2000, 2002) 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 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 l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND c_custkey = o_custkey AND s_nationkey = n1.n_nationkey AND c_nationkey = n2.n_nationkey AND s_suppkey = l_suppkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT MAX(mc.note) AS production_note, MAX(t.title) AS movie_title, MAX(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 (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND it.info = 'top 250 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT 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 d_year = 2001 AND s_market_id = 9 AND ca_country = 'United States' AND ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 77 AND 143) OR (cd_marital_status = 'M' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 99 AND 100) OR (cd_marital_status = 'W' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 134 AND 179) ) AND ca_state IN ('TX', 'GA', 'NC') AND ( (hd_dep_count = 2 AND hd_vehicle_count <= 3) OR (hd_dep_count = 4 AND hd_vehicle_count <= 3) OR (hd_dep_count = 5 AND hd_vehicle_count <= 5) ) | 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 NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND ct.kind = 'production companies' AND it.id = mi.info_type_id AND it.info = 'bottom 10 rank' AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND cn.country_code = '[us]' AND k.keyword = 'character-name-in-title' AND mc.company_id = cn.id AND t.episode_nr < 100 AND t.episode_nr >= 50 AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND an.person_id = ci.person_id | job |
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