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SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_shipdate < l_commitdate AND l_receiptdate >= DATE 1 AND l_shipmode IN (1, 1) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND o_orderkey = l_orderkey AND l_commitdate < l_receiptdate GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 100; | 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.Id = c.PostId AND p.Score <= 40 AND pl.LinkTypeId = 1 AND c.UserId = u.Id AND p.Id = pl.RelatedPostId | stats |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND d_dom >= 1 AND d_dom <= 2 AND d_year IN (1999, 2001, 2002) AND s_county IN ('Williamson County', 'Daviess County', 'Oglethorpe County', 'Maricopa County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt ASC LIMIT 1000; | tpcds |
WITH _q AS ( SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[us]' AND mk.movie_id = mi.movie_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND mc.note NOT LIKE '%(USA)%' AND kt.kind IN ('movie', 'episode') AND t.production_year > 2008 AND mi.movie_id = mi_idx.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND cn.id = mc.company_id AND mc.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi_idx.info < '7.0' AND it2.info = 'rating' AND mi.movie_id = mc.movie_id AND kt.id = t.kind_id AND t.id = mi.movie_id AND it1.id = mi.info_type_id AND mk.movie_id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND it1.info = 'countries' AND t.id = mc.movie_id AND mc.note LIKE '%(200%)%' AND ct.id = mc.company_type_id ) SELECT * FROM _q; | job |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_receiptdate >= DATE 1 AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_commitdate < l_receiptdate AND l_shipmode = ANY(ARRAY[1, 1]) AND o_orderkey = l_orderkey AND l_shipdate < l_commitdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND it.info = 'top 250 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi_idx.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' | job |
Select ss_ticket_number, c_preferred_cust_flag, c_salutation, c_last_name, c_first_name, cnt From ( Select ss_ticket_number, ss_customer_sk, Count(*) As cnt From store_sales Join date_dim On ss_sold_date_sk = d_date_sk Join store On ss_store_sk = s_store_sk Join household_demographics On ss_hdemo_sk = hd_demo_sk Where (d_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 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(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE kt.kind IN ('movie', 'episode') AND cn.id = mc.company_id AND mc.note NOT LIKE '%(USA)%' AND mc.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND t.id = mc.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND mi_idx.info < '7.0' AND mi.movie_id = mc.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mi_idx.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND ct.id = mc.company_type_id AND mk.movie_id = mc.movie_id AND it2.info = 'rating' AND it2.id = mi_idx.info_type_id AND it1.id = mi.info_type_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mc.note LIKE '%(200%)%' AND t.id = mi_idx.movie_id AND it1.info = 'countries' AND cn.country_code != '[us]' AND t.id = mi.movie_id AND t.production_year > 2008 AND mi.movie_id = mi_idx.movie_id | job |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND t.id = ci.movie_id AND pi.person_id = ci.person_id AND lt.id = ml.link_type_id AND n.id = pi.person_id AND pi.note = 'Volker Boehm' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.person_id = an.person_id AND ml.linked_movie_id = t.id AND lt.link = 'features' AND an.name LIKE '%a%' AND n.id = an.person_id AND ci.person_id = n.id AND t.production_year BETWEEN 1980 AND 1995 AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id AND it.id = pi.info_type_id AND it.info = 'mini biography' | 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.id = mk.keyword_id AND n.name LIKE '%Hemsworth%Chris%' AND t.id = mk.movie_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND n.id = ci.person_id AND t.id = ci.movie_id | job |
WITH _q AS ( SELECT s_store_name, i_item_desc, i_item_id, s_store_id, SUM(cs_quantity) AS catalog_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, 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 d3.d_moy BETWEEN 10 AND 10 + 3 AND d2.d_year = 2000 AND d1.d_year = 2000 AND d3.d_year = 2000 AND d2.d_moy BETWEEN 10 AND 10 + 3 AND d1.d_moy = 10 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 ) SELECT * FROM _q; | tpcds |
SELECT SUM(ss_ext_sales_price) AS ext_price, i_manufact, i_manufact_id, i_brand AS brand, i_brand_id AS brand_id FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE d_moy = 12 AND d_year = 1999 AND i_manager_id = 47 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) GROUP BY i_brand, i_brand_id, i_manufact_id, i_manufact ORDER BY ext_price DESC, brand, brand_id, i_manufact_id, i_manufact LIMIT 100; | tpcds |
SELECT p_size, p_type, p_brand, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_partkey = ps_partkey AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_brand <> 1 AND p_type NOT LIKE 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
select i_manufact_id, i_brand as brand, i_manufact, i_brand_id as brand_id, sum(ss_ext_sales_price) as ext_price from date_dim join store_sales on d_date_sk = ss_sold_date_sk join item on ss_item_sk = i_item_sk join customer on ss_customer_sk = c_customer_sk join customer_address on c_current_addr_sk = ca_address_sk join store on ss_store_sk = s_store_sk where d_moy = 12 and d_year = 1999 and i_manager_id = 3 and substr(ca_zip, 1, 5) != substr(s_zip, 1, 5) group by i_brand, i_brand_id, i_manufact_id, i_manufact order by ext_price desc, brand, brand_id, i_manufact_id, i_manufact limit 100; | tpcds |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, MIN(ss_net_profit) AS store_sales_profit, MIN(sr_net_loss) AS store_returns_loss, MIN(cs_net_profit) AS catalog_sales_profit FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d2.d_year = 2002 AND d3.d_year = 2002 AND d1.d_moy BETWEEN 3 AND 7 AND d1.d_year = 2002 AND d3.d_moy BETWEEN 3 AND 7 + 3 AND d2.d_moy BETWEEN 3 AND 7 + 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 SUM(cs_quantity) AS catalog_sales_quantity, s_store_name, i_item_id, i_item_desc, SUM(sr_return_quantity) AS store_returns_quantity, SUM(ss_quantity) AS store_sales_quantity, s_store_id 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 d2.d_year = 2000 AND d3.d_year = 2000 AND d1.d_moy = 5 AND d2.d_moy >= 5 AND d2.d_moy <= 5 + 3 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d1.d_year = 2000 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT 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_orderkey = o_orderkey AND c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH 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 i_item_id, s_store_id, MAX(ss_net_profit) AS store_sales_profit, MAX(cs_net_profit) AS catalog_sales_profit, MAX(sr_net_loss) AS store_returns_loss, i_item_desc, s_store_name FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 2 AND 8 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 2 AND 8 + 3 AND d3.d_year = 2002 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
select l_shipmode, sum( case when o_orderpriority = '1-URGENT' or o_orderpriority = '2-HIGH' then 1 else 0 end ) as high_line_count, sum( case when o_orderpriority <> '1-URGENT' and o_orderpriority <> '2-HIGH' then 1 else 0 end ) as low_line_count from orders, lineitem where o_orderkey = l_orderkey AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode in (1, 1) AND l_shipdate < l_commitdate group by l_shipmode order by l_shipmode | 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 p.Id = c.PostId AND b.UserId = u.Id AND p.Id = pl.RelatedPostId AND p.Score <= 40 AND c.UserId = u.Id AND pl.LinkTypeId = 1 AND p.Id = v.PostId | stats |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.movie_id AND n.name LIKE '%Downey%Robert%' AND n.id = ci.person_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 | 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 mk.keyword_id = k.id and mc.movie_id = mk.movie_id and cn.country_code ='[de]' and mc.movie_id = t.id and cn.id = mc.company_id and k.keyword ='character-name-in-title' and t.id = mk.movie_id | job |
SELECT MIN(t.production_year) AS movie_year, MIN(t.title) AS movie_title, 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 ct.kind = 'production companies' AND it.info = 'top 250 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id LIMIT 200; | job |
SELECT MIN(t.title) AS japanese_anime_movie, MIN(an.name) AS acress_pseudonym FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[jp]' AND mc.note LIKE '%(Japan)%' AND ct.id = mc.company_type_id AND n.gender = 'f' AND cn.id = mc.company_id AND ci.role_id = rt.id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND k.keyword = 'anime' AND t.production_year > 1990 AND an.person_id = n.id AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.id = mk.movie_id AND ci.note LIKE '%(voice: English version)%' AND mk.movie_id = ci.movie_id AND k.id = mk.keyword_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.person_id = an.person_id | job |
WITH _q AS ( SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND t.production_year > 2005 AND t.id = mi.movie_id AND k.keyword LIKE '%sequel%' AND k.id = mk.keyword_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND mk.movie_id = mi.movie_id ) SELECT * FROM _q; | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND at.title LIKE '%Champion%' AND mi_idx.info < '3.5' AND t.id = at.movie_id AND t.id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND mi_idx.movie_id = mc.movie_id AND t.id = mi.movie_id AND it2.info = 'release dates' AND it1.id = mi_idx.info_type_id AND it2.id = mi.info_type_id AND cn.id = mc.company_id AND kt.kind = 'movie' AND at.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND t.id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND at.movie_id = mi.movie_id AND t.production_year > 2000 AND it1.info = 'rating' | job |
Select ss_ticket_number, c_last_name, c_salutation, c_first_name, c_preferred_cust_flag, 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 d_year In (2001, 2002, 2003) And s_county In ('Bronz County', 'Barrow County', 'Jackson County') And (d_dom Between 1 And 3 Or d_dom Between 25 And 28) And (Case When hd_vehicle_count > 0 Then hd_dep_count / hd_vehicle_count Else NULL End) > 1.37 And hd_vehicle_count > 0 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(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.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.person_id = ci.person_id AND n.id = an.person_id AND ml.linked_movie_id = t.id AND ci.person_id = n.id AND ci.movie_id = ml.linked_movie_id AND an.name like '%a%' AND it.info = 'mini biography' AND n.id = pi.person_id AND it.id = pi.info_type_id AND t.production_year BETWEEN 1980 AND 1995 AND (n.gender = 'm' or (n.gender = 'f' and n.name like 'B%')) AND lt.id = ml.link_type_id AND pi.note = 'Volker Boehm' AND an.person_id = ci.person_id AND t.id = ci.movie_id AND pi.person_id = an.person_id | job |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, votes AS v WHERE p.Score >= -3 AND p.Id = c.PostId AND c.CreationDate >= '2010-08-02 23:52:10'::timestamp AND pl.PostId = v.PostId AND v.VoteTypeId = 2 AND c.PostId = pl.PostId LIMIT 50; | stats |
select count(*) from postHistory as ph, posts as p, votes as v, badges as b, users as u, comments as c where p.Id = ph.PostId and p.Id = c.PostId and p.ViewCount >= 0 and p.Id = v.PostId and u.Id = b.UserId and u.Id = p.OwnerUserId and p.Score <= 192 limit 20; | stats |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE rt.role = 'actress' AND mk.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND cn.country_code = '[jp]' AND k.keyword = 'anime' AND n.gender = 'f' AND ci.movie_id = mc.movie_id AND ci.person_id = an.person_id AND ci.note LIKE '%(voice: English version)%' AND n.id = ci.person_id AND an.person_id = n.id AND mc.note LIKE '%(Japan)%' AND t.id = mk.movie_id AND t.production_year > 1990 AND cn.id = mc.company_id AND t.id = mc.movie_id AND mk.movie_id = ci.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.id = ci.movie_id AND ci.role_id = rt.id AND k.id = mk.keyword_id | job |
WITH _q AS ( SELECT * FROM ( SELECT AVG(ss_list_price) AS b1_lp, COUNT(ss_list_price) AS b1_cnt, COUNT(DISTINCT ss_list_price) AS b1_cntd FROM store_sales WHERE (ss_list_price BETWEEN 84 AND 84 + 10 OR ss_coupon_amt BETWEEN 1190 AND 1190 + 1000 OR ss_wholesale_cost BETWEEN 65 AND 65 + 20) ) AS b3 AND (ss_list_price BETWEEN 100 AND 100 + 10 OR ss_coupon_amt BETWEEN 2901 AND 2901 + 1000 OR ss_wholesale_cost BETWEEN 33 AND 33 + 20) ) AS b2, ( SELECT AVG(ss_list_price) AS b3_lp, COUNT(ss_list_price) AS b3_cnt, COUNT(DISTINCT ss_list_price) AS b3_cntd FROM store_sales WHERE ss_quantity BETWEEN 11 AND 15 AND ss_quantity BETWEEN 0 AND 5 AND (ss_list_price BETWEEN 16 AND 16 + 10 OR ss_coupon_amt BETWEEN 665 AND 665 + 1000 OR ss_wholesale_cost BETWEEN 67 AND 67 + 20) ) AS b1, ( SELECT AVG(ss_list_price) AS b2_lp, COUNT(ss_list_price) AS b2_cnt, COUNT(DISTINCT ss_list_price) AS b2_cntd FROM store_sales WHERE ss_quantity BETWEEN 6 AND 10 LIMIT 100 ) SELECT * FROM _q; | tpcds |
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.keyword = 'marvel-cinematic-universe' AND n.name LIKE '%Hemsworth%Chris%' AND t.production_year > 2010 AND ci.movie_id = mk.movie_id AND t.id = ci.movie_id AND k.id = mk.keyword_id AND n.id = ci.person_id AND t.id = mk.movie_id | job |
WITH year_total AS ( SELECT c_birth_country AS customer_birth_country, c_last_name AS customer_last_name, 's' AS sale_type, d_year AS dyear, c_preferred_cust_flag AS customer_preferred_cust_flag, c_first_name AS customer_first_name, c_email_address AS customer_email_address, c_login AS customer_login, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_customer_id AS customer_id 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 AVG(ss_quantity) AS agg1, AVG(ss_coupon_amt) AS agg3, i_item_id, AVG(ss_list_price) AS agg2, AVG(ss_sales_price) AS agg4 FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE cd_marital_status = 'W' AND cd_gender = 'F' AND cd_education_status = 'Advanced Degree' AND d_year = 2000 AND (p_channel_email = 'N' OR p_channel_event = 'N') GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, posts AS p, votes AS v, users AS u WHERE u.Id = p.OwnerUserId AND p.Score >= 0 AND u.Id = v.UserId AND u.Id = c.UserId AND p.ViewCount >= 0 AND c.Score = 0 ) SELECT * FROM _q; | stats |
select p_brand, p_type, p_size, count(distinct ps_suppkey) as supplier_cnt from partsupp, part where p_partkey = ps_partkey and p_brand <> 1 and p_type not like 1 and p_size in (1, 1, 1, 1, 1, 1, 1, 1) and ps_suppkey not in ( select s_suppkey from supplier where s_comment like '%Customer%Complaints%' ) group by p_brand, p_type, p_size order by supplier_cnt desc, p_brand, p_type, p_size limit 10; | tpch |
SELECT c_salutation, cnt, c_first_name, c_last_name, c_preferred_cust_flag, ss_ticket_number FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_dom BETWEEN 1 AND 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND d_year IN (2001, 2000, 2003) AND s_county IN ('Franklin County', 'Jefferson County', 'Oglethorpe County', 'Maricopa County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT c_last_name, ca_city, bought_city, list_price, extended_tax, c_first_name, ss_ticket_number, extended_price FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 5 OR hd_vehicle_count = 0) AND d_dow IN (6, 0) AND d_year IN (2000, 2002, 2001) 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(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE ci.movie_id = mc.movie_id AND ci.movie_id = t.id AND mc.company_id = cn.id AND k.keyword = 'character-name-in-title' AND mc.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND t.episode_nr >= 50 AND t.episode_nr < 100 AND an.person_id = n.id AND t.id = mc.movie_id AND n.id = ci.person_id AND t.id = mk.movie_id AND an.person_id = ci.person_id AND cn.country_code = '[us]' AND mk.keyword_id = k.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 an.name like '%a%' and it.info = 'mini biography' and lt.link = 'features' and n.name_pcode_cf between 'A' and 'F' and (n.gender = 'm' or (n.gender = 'f' and n.name like 'B%')) and pi.note = 'Volker Boehm' and t.production_year between 1980 and 1995 and n.id = an.person_id and n.id = pi.person_id and ci.person_id = n.id and t.id = ci.movie_id and ml.linked_movie_id = t.id and lt.id = ml.link_type_id and it.id = pi.info_type_id and pi.person_id = an.person_id and pi.person_id = ci.person_id and an.person_id = ci.person_id and ci.movie_id = ml.linked_movie_id LIMIT 10; | 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 mc.note NOT LIKE '%(USA)%' AND ci.role_id = rt.id AND mc.note LIKE '%(Japan)%' AND t.production_year > 1990 AND k.id = mk.keyword_id AND ci.movie_id = mc.movie_id AND t.id = ci.movie_id AND mk.movie_id = ci.movie_id AND an.person_id = n.id AND k.keyword = 'anime' AND ci.person_id = an.person_id AND ci.note LIKE '%(voice: English version)%' AND rt.role = 'actress' AND n.gender = 'f' AND mk.movie_id = mc.movie_id AND t.id = mk.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cn.country_code = '[jp]' AND t.id = mc.movie_id | job |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE ci.note LIKE '%(voice: English version)%' AND ci.person_id = an.person_id AND ci.movie_id = mc.movie_id AND cn.id = mc.company_id AND t.id = mk.movie_id AND an.person_id = n.id AND n.gender = 'f' AND cn.country_code = '[jp]' AND ci.role_id = rt.id AND t.production_year > 1990 AND mk.movie_id = ci.movie_id AND ct.id = mc.company_type_id AND mc.note LIKE '%(Japan)%' AND mk.movie_id = mc.movie_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND k.id = mk.keyword_id AND t.id = ci.movie_id AND k.keyword = 'anime' AND n.id = ci.person_id AND rt.role = 'actress' | job |
SELECT SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, o_shippriority, l_orderkey FROM customer, orders, lineitem WHERE l_orderkey = o_orderkey AND o_orderdate < DATE 1 AND l_shipdate > DATE 1 AND c_custkey = o_custkey AND c_mktsegment = 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | tpch |
SELECT 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.id = mc.company_id AND t.id = mk.movie_id AND cn.country_code ='[nl]' AND mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND mk.keyword_id = k.id AND k.keyword ='character-name-in-title' LIMIT 50; | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.AnswerCount >= 0 AND u.Id = p.OwnerUserId AND p.Id = pl.PostId AND p.PostTypeId = 1 AND p.Id = v.PostId 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 an.person_id = ci.person_id AND an.person_id = n.id AND t.id = mk.movie_id AND ci.movie_id = t.id AND ci.movie_id = mk.movie_id AND t.episode_nr < 100 AND cn.country_code = '[us]' AND n.id = ci.person_id AND mc.movie_id = mk.movie_id AND k.keyword = 'character-name-in-title' AND mk.keyword_id = k.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND t.episode_nr >= 50 | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, votes AS v WHERE p.Score >= -3 AND v.VoteTypeId = 2 AND p.Id = c.PostId AND c.CreationDate >= '2010-08-02 23:52:10'::timestamp AND c.PostId = pl.PostId AND pl.PostId = v.PostId LIMIT 500; | stats |
SELECT AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE s_market_id = 8 AND ( (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_state IN ('TX', 'WA', 'FL') 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 ca_country = 'United States' LIMIT 1000; | tpcds |
select a.ca_state as state, count(*) as cnt from customer_address as a join customer as c on a.ca_address_sk = c.c_current_addr_sk join store_sales as s on c.c_customer_sk = s.ss_customer_sk join date_dim as d on s.ss_sold_date_sk = d.d_date_sk join item as i on s.ss_item_sk = i.i_item_sk where d.d_month_seq = ( select distinct d_month_seq from date_dim where d_year = 2001 and d_moy = 5 ) and i.i_current_price > 1.2 * ( select avg(j.i_current_price) from item as j where j.i_category = i.i_category ) group by a.ca_state having count(*) >= 10 order by cnt, state; | 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 = t.id AND it.id = miidx.info_type_id AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND miidx.movie_id = t.id AND cn.country_code = '[de]' AND mi.movie_id = miidx.movie_id AND ct.id = mc.company_type_id AND it2.info = 'release dates' AND ct.kind = 'production companies' AND mc.movie_id = t.id AND kt.id = t.kind_id AND miidx.movie_id = mc.movie_id AND it.info = 'rating' AND kt.kind = 'movie' | job |
SELECT c_address, c_acctbal, n_name, c_phone, c_name, c_comment, c_custkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, nation WHERE o_orderdate >= DATE 1 AND l_returnflag = 'R' AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_orderkey = o_orderkey 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 n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE n_regionkey = r_regionkey AND l_suppkey = s_suppkey AND s_nationkey = n_nationkey AND c_nationkey = s_nationkey AND c_custkey = o_custkey AND r_name = 1 AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND o_orderdate >= DATE 1 AND l_orderkey = o_orderkey GROUP BY n_name ORDER BY revenue ASC | tpch |
SELECT AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, s_state, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, i_item_id, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(sr_return_quantity) AS store_returns_quantitycount, COUNT(cs_quantity) AS catalog_sales_quantitycount, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(cs_quantity) AS catalog_sales_quantityave, i_item_desc FROM store_sales INNER JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number INNER JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk INNER JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk INNER JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk INNER JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN item ON ss_item_sk = i_item_sk WHERE d2.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') AND d3.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') AND d1.d_quarter_name = '2000Q1' GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state; | tpcds |
SELECT c_first_name, c_preferred_cust_flag, cnt, c_salutation, c_last_name, ss_ticket_number 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) > 1.79 AND d_year IN (2000, 2002, 2003) AND s_county IN ('Bronz County', 'Daviess County', 'Maricopa 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 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.id = mc.company_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND cn.country_code ='[sm]' | job |
select i_item_id, i_item_desc, max(ss_net_profit) as store_sales_profit, s_store_id, max(cs_net_profit) as catalog_sales_profit, max(sr_net_loss) as store_returns_loss, s_store_name from store_sales join store_returns on store_sales.ss_customer_sk = store_returns.sr_customer_sk and store_sales.ss_item_sk = store_returns.sr_item_sk and store_sales.ss_ticket_number = store_returns.sr_ticket_number join catalog_sales on store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk and store_returns.sr_item_sk = catalog_sales.cs_item_sk join date_dim as d1 on store_sales.ss_sold_date_sk = d1.d_date_sk join date_dim as d2 on store_returns.sr_returned_date_sk = d2.d_date_sk join date_dim as d3 on catalog_sales.cs_sold_date_sk = d3.d_date_sk join store on store_sales.ss_store_sk = store.s_store_sk join item on store_sales.ss_item_sk = item.i_item_sk where d1.d_moy between 2 and 8 and d1.d_year = 2001 and d2.d_moy between 2 and 8 + 3 and d2.d_year = 2001 and d3.d_moy between 2 and 8 + 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 i_brand_id As brand_id, i_brand As brand, Sum(ss_ext_sales_price) As ext_price, i_manufact_id, i_manufact From date_dim Join store_sales On d_date_sk = ss_sold_date_sk Join item On ss_item_sk = i_item_sk Join customer On ss_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join store On ss_store_sk = s_store_sk Where d_year = 1999 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND i_manager_id = 47 AND d_moy = 12 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 AVG(cs_coupon_amt) AS agg3, AVG(cs_sales_price) AS agg4, i_item_id, AVG(cs_quantity) AS agg1, AVG(cs_list_price) AS agg2 FROM catalog_sales JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk JOIN item ON cs_item_sk = i_item_sk JOIN promotion ON cs_promo_sk = p_promo_sk WHERE d_year = 2002 AND cd_gender = 'M' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = 'Advanced Degree' AND cd_marital_status = 'S' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT SUM(ps_supplycost * ps_availqty) AS VALUE, ps_partkey FROM partsupp, supplier, nation WHERE n_name = 1 AND ps_suppkey = s_suppkey AND s_nationkey = n_nationkey GROUP BY ps_partkey HAVING SUM(ps_supplycost * ps_availqty) > ( SELECT SUM(ps_supplycost * ps_availqty) * 1 FROM partsupp, supplier, nation WHERE ps_suppkey = s_suppkey AND s_nationkey = n_nationkey AND n_name = 1 ) ORDER BY VALUE ASC LIMIT 20; | tpch |
select s_name, count(*) as numwait from supplier, lineitem l1, orders, nation where not exists ( select * from lineitem l3 where l3.l_orderkey = l1.l_orderkey and l3.l_suppkey <> l1.l_suppkey and l3.l_receiptdate > l3.l_commitdate ) AND o_orderstatus = 'F' AND s_suppkey = l1.l_suppkey AND n_name = 1 AND o_orderkey = l1.l_orderkey AND l1.l_receiptdate > l1.l_commitdate AND s_nationkey = n_nationkey AND exists ( select * from lineitem l2 where l2.l_orderkey = l1.l_orderkey and l2.l_suppkey <> l1.l_suppkey ) group by s_name order by numwait desc, 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 ct.id = mc.company_type_id AND mi.movie_id = t.id AND k.id = mk.keyword_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mi.info LIKE 'USA:% 199%' AND it.info = 'release dates' AND ml.movie_id = mk.movie_id AND t.id = mc.movie_id AND it.id = mi.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mk.movie_id AND cn.country_code = '[us]' AND cn.id = mc.company_id AND t.id = ml.movie_id AND mc.note LIKE '%(USA)%' AND ml.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mc.movie_id AND t.production_year > 1950 AND lt.id = ml.link_type_id AND mi.note LIKE '%internet%' AND lt.link LIKE '%follow%' | 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 c_nationkey = n2.n_nationkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND o_orderkey = l_orderkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_suppkey = l_suppkey 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 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 mk.movie_id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.keyword LIKE '%sequel%' AND t.id = mk.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 LIMIT 100; | job |
SELECT c_first_name, c_last_name, c_preferred_cust_flag, c_salutation, ss_ticket_number, cnt 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 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND d_year IN (1999, 2002, 2001) AND s_county IN ('Williamson County', 'Jefferson County', 'Jackson County', 'Champaign County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj INNER JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT AVG(l_extendedprice) AS avg_price, l_returnflag, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_extendedprice) AS sum_base_price, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_quantity) AS sum_qty, AVG(l_quantity) AS avg_qty, 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 p_brand, p_type, p_size, Count(Distinct ps_suppkey) As supplier_cnt From partsupp, part Where p_partkey = ps_partkey AND p_brand <> 1 AND p_type Not Like 1 AND p_size In (1, 1, 1, 1, 1, 1, 1, 1) AND ps_suppkey Not In ( Select s_suppkey From supplier Where s_comment Like '%Customer%Complaints%' ) Group By p_brand, p_type, p_size Order By supplier_cnt ASC, p_brand, p_type, p_size | tpch |
SELECT SUM(l_extendedprice) / 7.0 AS avg_yearly FROM lineitem, part WHERE p_partkey = l_partkey AND l_quantity < ( SELECT 0.2 * AVG(l_quantity) FROM lineitem WHERE l_partkey = p_partkey ) AND p_brand = 1 AND p_container = 1 LIMIT 100; | 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_suppkey = l_suppkey AND o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND ps_partkey = l_partkey AND p_partkey = l_partkey AND s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year ASC | tpch |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.production_year > 2000 AND t.id = mi.movie_id AND k.id = mk.keyword_id AND k.keyword LIKE '%sequel%' AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id | job |
Select Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v, badges As b, users As u Where p.Id = c.PostId And pl.LinkTypeId = 1 And p.Id = v.PostId And c.UserId = u.Id And p.Id = pl.RelatedPostId And p.Score <= 40 And p.Id = ph.PostId And b.UserId = u.Id Limit 10; | stats |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, MAX(ss_net_profit) AS store_sales_profit, MAX(sr_net_loss) AS store_returns_loss, MAX(cs_net_profit) AS catalog_sales_profit FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 2 AND 8 AND d1.d_year = 2001 AND d3.d_moy BETWEEN 2 AND 8 + 3 AND d3.d_year = 2001 AND d2.d_year = 2001 AND d2.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 Max(sr_net_loss) As store_returns_loss, s_store_name, i_item_id, i_item_desc, Max(ss_net_profit) As store_sales_profit, Max(cs_net_profit) As catalog_sales_profit, s_store_id From store_sales Join store_returns On store_sales.ss_customer_sk = store_returns.sr_customer_sk And store_sales.ss_item_sk = store_returns.sr_item_sk And store_sales.ss_ticket_number = store_returns.sr_ticket_number Join catalog_sales On store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk And store_returns.sr_item_sk = catalog_sales.cs_item_sk Join date_dim As d1 On store_sales.ss_sold_date_sk = d1.d_date_sk Join date_dim As d2 On store_returns.sr_returned_date_sk = d2.d_date_sk Join date_dim As d3 On catalog_sales.cs_sold_date_sk = d3.d_date_sk Join store On store_sales.ss_store_sk = store.s_store_sk Join item On store_sales.ss_item_sk = item.i_item_sk Where d3.d_moy BETWEEN 5 AND 5 + 3 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d1.d_moy BETWEEN 5 AND 5 AND d2.d_year = 2002 AND d1.d_year = 2002 AND d3.d_year = 2002 Group By i_item_id, i_item_desc, s_store_id, s_store_name Order By i_item_id, i_item_desc, s_store_id, s_store_name Limit 100; | tpcds |
WITH _q AS ( SELECT i_item_id, i_item_desc, i_current_price FROM item JOIN inventory ON i_item_sk = inv_item_sk JOIN date_dim ON d_date_sk = inv_date_sk JOIN store_sales ON ss_item_sk = i_item_sk WHERE i_current_price BETWEEN 80 AND 80 + 30 AND d_date BETWEEN CAST('2002-01-23' AS DATE) AND (CAST('2002-01-23' AS DATE) + INTERVAL '60 days') AND i_manufact_id IN (427, 128, 154, 9) AND inv_quantity_on_hand BETWEEN 100 AND 500 GROUP BY i_item_id, i_item_desc, i_current_price ORDER BY i_item_id LIMIT 100 ) SELECT * FROM _q; | tpcds |
SELECT n_name, c_comment, c_acctbal, c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_phone, c_address FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_returnflag = 'R' AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND o_orderdate >= DATE 1 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 MAX(sr_net_loss) AS store_returns_loss, MAX(cs_net_profit) AS catalog_sales_profit, i_item_id, MAX(ss_net_profit) AS store_sales_profit, s_store_id, i_item_desc, s_store_name FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d2.d_moy BETWEEN 2 AND 8 + 3 AND d1.d_moy BETWEEN 2 AND 8 AND d2.d_year = 2001 AND d3.d_year = 2001 AND d3.d_moy BETWEEN 2 AND 8 + 3 AND d1.d_year = 2001 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT MIN(cn.name) AS 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 mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND mi.movie_id = t.id AND it.info = 'release dates' AND lt.id = ml.link_type_id AND mc.note LIKE '%(USA)%' AND t.id = ml.movie_id AND cn.id = mc.company_id AND mi.note LIKE '%internet%' AND t.id = mk.movie_id AND ml.movie_id = mc.movie_id AND lt.link LIKE '%follow%' AND ml.movie_id = mk.movie_id AND ml.movie_id = mi.movie_id AND mi.info LIKE 'USA:% 199%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND cn.country_code = '[us]' AND k.id = mk.keyword_id AND t.production_year > 1950 AND t.id = mc.movie_id AND it.id = mi.info_type_id AND mk.movie_id = mc.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_returnflag = 'R' AND c_custkey = o_custkey AND c_nationkey = n_nationkey 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 total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100, promotions FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE s_gmt_offset = -6 AND i_category = 'Home' AND d_year = 2002 AND d_year = 2002 AND s_gmt_offset = -6 AND d_moy = 5 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -6 AND ca_gmt_offset = -6 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND i_category = 'Home' AND d_moy = 5 ) AS all_sales ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT AVG(ss_quantity) AS agg1, AVG(ss_list_price) AS agg2, AVG(ss_coupon_amt) AS agg3, i_item_id, AVG(ss_sales_price) AS agg4 FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE cd_gender = 'M' AND d_year = 2002 AND cd_marital_status = 'D' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = '4 yr Degree' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT s_name, s_comment, s_address, n_name, p_partkey, s_acctbal, p_mfgr, s_phone FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(an.name) AS 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.episode_nr < 100 AND ci.movie_id = mk.movie_id AND t.id = mc.movie_id AND t.episode_nr >= 50 AND k.keyword = 'character-name-in-title' AND mc.movie_id = mk.movie_id AND cn.country_code = '[us]' AND an.person_id = ci.person_id AND mk.keyword_id = k.id AND t.id = mk.movie_id AND ci.movie_id = t.id AND mc.company_id = cn.id AND n.id = ci.person_id AND ci.movie_id = mc.movie_id AND an.person_id = n.id | job |
SELECT c_preferred_cust_flag, cnt, ss_ticket_number, c_last_name, c_first_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 (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND d_year IN (1999, 2001, 2002) AND s_county IN ('Williamson County', 'Daviess County', 'Oglethorpe County', 'Maricopa County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT MIN(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 mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND cn.id = mc.company_id AND k.id = mk.keyword_id AND t.id = ml.movie_id AND ml.movie_id = mk.movie_id AND ct.id = mc.company_type_id AND ml.movie_id = mi.movie_id AND it.id = mi.info_type_id AND it.info = 'release dates' AND k.keyword IN ('sequel', 'revenge', 'based-ON-novel') AND mi.info LIKE 'USA:% 199%' AND mi.movie_id = t.id AND ml.movie_id = mc.movie_id AND t.production_year > 1950 AND t.id = mk.movie_id AND mi.note LIKE '%internet%' AND mc.note LIKE '%(USA)%' AND mk.movie_id = mc.movie_id AND lt.id = ml.link_type_id AND lt.link LIKE '%follow%' | 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 ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND t.id = mk.movie_id AND n.id = ci.person_id AND t.id = ci.movie_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.id = mc.company_type_id AND it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' | job |
WITH year_total AS ( SELECT c_last_name AS customer_last_name, c_first_name AS customer_first_name, c_birth_country AS customer_birth_country, c_email_address AS customer_email_address, 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, d_year AS dyear, c_preferred_cust_flag AS customer_preferred_cust_flag, 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 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 = t.id AND kt.id = t.kind_id AND it.id = miidx.info_type_id AND ct.id = mc.company_type_id AND it2.info = 'release dates' AND mi.movie_id = mc.movie_id AND cn.country_code = '[de]' AND kt.kind = 'movie' AND it2.id = mi.info_type_id AND mi.movie_id = t.id AND ct.kind = 'production companies' AND it.info = 'rating' AND mi.movie_id = miidx.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.id AND miidx.movie_id = mc.movie_id | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE t.id = mi.movie_id AND kt.kind = 'movie' AND cn.id = mc.company_id AND at.movie_id = mi.movie_id AND t.id = mi_idx.movie_id AND mi_idx.info < '3.5' AND t.id = mc.movie_id AND it1.info = 'rating' AND kt.id = t.kind_id AND it2.id = mi.info_type_id AND at.movie_id = mc.movie_id AND cn.country_code = '[us]' AND mi.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND at.movie_id = mi_idx.movie_id AND mi_idx.movie_id = mc.movie_id AND it2.info = 'release dates' AND t.production_year > 2000 AND it1.id = mi_idx.info_type_id AND t.id = at.movie_id AND at.title LIKE '%Champion%' AND mi.info LIKE 'USA:%200%' | job |
select p_brand, p_type, p_size, count(distinct ps_suppkey) as supplier_cnt from partsupp, part where p_brand <> 1 AND p_type not like 1 AND p_size in (1, 1, 1, 1, 1, 1, 1, 1) AND p_partkey = ps_partkey AND ps_suppkey not in ( select s_suppkey from supplier where s_comment like '%Customer%Complaints%' ) 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 it.info = 'mini biography' AND n.id = pi.person_id AND lt.link = 'features' AND an.name LIKE '%a%' AND it.id = pi.info_type_id AND t.production_year BETWEEN 1980 AND 1995 AND ci.person_id = n.id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND n.id = an.person_id AND pi.person_id = ci.person_id AND t.id = ci.movie_id AND pi.person_id = an.person_id AND ci.movie_id = ml.linked_movie_id AND an.person_id = ci.person_id LIMIT 50; | 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 o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_partkey = l_partkey AND o_custkey = c_custkey AND p_type = 1 ) AS all_nations AND r_name = 1 AND l_orderkey = o_orderkey AND c_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey AND n1.n_regionkey = r_regionkey AND s_nationkey = n2.n_nationkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100, promotions FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE d_moy = 12 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -6 AND i_category = 'Jewelry' AND d_year = 2002 AND d_year = 2002 AND s_gmt_offset = -6 AND d_moy = 12 ) AS all_sales AND ca_gmt_offset = -6 AND s_gmt_offset = -6 AND i_category = 'Jewelry' AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') ORDER BY promotions, total LIMIT 100; | tpcds |
Select i_item_id, Avg(ss_quantity) As agg1, Avg(ss_list_price) As agg2, Avg(ss_coupon_amt) As agg3, Avg(ss_sales_price) As agg4 From store_sales Join customer_demographics On ss_cdemo_sk = cd_demo_sk Join date_dim On ss_sold_date_sk = d_date_sk Join item On ss_item_sk = i_item_sk Join promotion On ss_promo_sk = p_promo_sk Where cd_marital_status = 'D' And cd_education_status = 'Unknown' And d_year = 2002 And cd_gender = 'M' And (p_channel_email = 'N' Or p_channel_event = 'N') Group By i_item_id Order By i_item_id; | 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 ci.movie_id = mc.movie_id AND rt.role = 'actor' AND rt.id = ci.role_id AND ci.note LIKE '%(uncredited)%' AND cn.id = mc.company_id AND chn.id = ci.person_role_id AND ct.id = mc.company_type_id AND t.id = ci.movie_id AND t.id = mc.movie_id AND cn.country_code = '[ru]' AND ci.note LIKE '%(voice)%' AND t.production_year > 2005 | job |
SELECT MIN(t.production_year) AS movie_year, MIN(mc.note) AS production_note, MIN(t.title) AS movie_title 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.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'top 250 rank' AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND it.id = mi_idx.info_type_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 s_nationkey = n_nationkey AND ps_partkey = l_partkey AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey AND s_suppkey = l_suppkey AND p_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.Id = v.PostId AND p.Id = ph.PostId AND u.Id = p.OwnerUserId AND p.Id = c.PostId AND p.Id = pl.PostId AND p.AnswerCount >= 0 AND p.PostTypeId = 1 | stats |
SELECT i_item_desc, i_current_price, i_item_id FROM item JOIN inventory ON i_item_sk = inv_item_sk JOIN date_dim ON d_date_sk = inv_date_sk JOIN catalog_sales ON cs_item_sk = i_item_sk WHERE i_manufact_id IN (325, 323, 405, 311) AND inv_quantity_on_hand BETWEEN 100 AND 500 AND i_current_price BETWEEN 83 AND 83 + 30 AND d_date BETWEEN CAST('2002-01-23' AS DATE) AND (CAST('2002-01-23' AS DATE) + INTERVAL '60 days') GROUP BY i_item_id, i_item_desc, i_current_price ORDER BY i_item_id LIMIT 100; | tpcds |
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