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SELECT SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_comment, c_address, c_phone, c_custkey, c_name, c_acctbal, n_name FROM customer, orders, lineitem, nation WHERE o_orderdate < DATE 1 + INTERVAL '3' MONTH AND c_nationkey = n_nationkey AND c_custkey = o_custkey AND l_returnflag = 'R' AND o_orderdate >= DATE 1 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 Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v, badges As b Where c.Score = 0 And p.Id = c.PostId And p.Id = ph.PostId And p.Id = v.PostId And pl.LinkTypeId = 1 And b.UserId = c.UserId And p.Id = pl.RelatedPostId | stats |
SELECT p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_brand, p_type FROM partsupp, part WHERE p_brand <> 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 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 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE mc.note NOT LIKE '%(USA)%' AND rt.role = 'actress' AND ci.note LIKE '%(voice: English version)%' AND t.id = mc.movie_id AND t.production_year > 1990 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND k.keyword = 'anime' AND mk.movie_id = ci.movie_id AND ci.person_id = an.person_id AND ct.id = mc.company_type_id AND n.gender = 'f' AND ci.movie_id = mc.movie_id AND an.person_id = n.id AND mc.note LIKE '%(Japan)%' AND t.id = ci.movie_id AND cn.id = mc.company_id AND mk.movie_id = mc.movie_id AND cn.country_code = '[jp]' AND n.id = ci.person_id AND ci.role_id = rt.id | job |
Select supp_nation, cust_nation, l_year, Sum(volume) As revenue From ( Select n1.n_name As supp_nation, n2.n_name As cust_nation, EXTRACT(YEAR From l_shipdate) As l_year, l_extendedprice * (1 - l_discount) As volume From supplier, lineitem, orders, customer, nation n1, nation n2 Where ( (n1.n_name = 1 And n2.n_name = 1) Or (n1.n_name = 1 And n2.n_name = 1) ) AND c_nationkey = n2.n_nationkey AND o_orderkey = l_orderkey AND c_custkey = o_custkey 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 Group By supp_nation, cust_nation, l_year Order By supp_nation, cust_nation, l_year | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND it.info = 'top 250 rank' | job |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE l_orderkey = o_orderkey AND l_suppkey = s_suppkey AND s_nationkey = n_nationkey AND c_nationkey = s_nationkey AND o_orderdate >= DATE 1 AND r_name = 1 AND n_regionkey = r_regionkey AND c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR GROUP BY n_name ORDER BY revenue DESC | tpch |
Select c_salutation, c_last_name, cnt, ss_ticket_number, c_preferred_cust_flag, c_first_name From ( Select ss_ticket_number, ss_customer_sk, Count(*) As cnt From store_sales Join date_dim On ss_sold_date_sk = d_date_sk Join store On ss_store_sk = s_store_sk Join household_demographics On ss_hdemo_sk = hd_demo_sk Where (d_dom 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) > 1.56 And d_year = ANY(ARRAY[2000, 2000, 2003]) And s_county In ('Williamson County', 'Washington County', 'Placer County') Group By ss_ticket_number, ss_customer_sk ) As dn Join customer On ss_customer_sk = c_customer_sk Where cnt Between 15 And 20 Order By c_last_name, c_first_name, c_salutation, cnt Desc Limit 100; | tpcds |
SELECT SUM(volume) AS revenue, supp_nation, cust_nation, l_year 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 o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND c_custkey = o_custkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_nationkey = n1.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year LIMIT 500; | tpch |
SELECT COUNT(1) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE p.ViewCount >= 0 AND u.Id = p.OwnerUserId AND p.Id = v.PostId AND p.Score <= 192 AND u.Id = b.UserId AND p.Id = ph.PostId AND p.Id = c.PostId | stats |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note LIKE '%(voice)%' AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cn.country_code = '[ru]' AND rt.id = ci.role_id AND ci.note LIKE '%(uncredited)%' AND t.id = mc.movie_id AND rt.role = 'actor' AND t.id = ci.movie_id AND t.production_year > 2005 AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_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 it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND it.id = mi_idx.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi_idx.movie_id AND t.id = mc.movie_id | job |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND t.id = mc.movie_id AND ci.movie_id = t.id AND n1.name LIKE '%Yo%' AND cn.country_code = '[jp]' AND mc.note LIKE '%(Japan)%' AND n1.name NOT LIKE '%Yu%' AND n1.id = ci.person_id AND an1.person_id = ci.person_id AND ci.role_id = rt.id AND mc.note NOT LIKE '%(USA)%' AND an1.person_id = n1.id AND ci.note = '(voice: English version)' AND rt.role = 'actress' | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'top 250 rank' AND t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' | 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 cn.id = mc.company_id AND t.id = mk.movie_id AND mc.movie_id = t.id AND k.keyword ='character-name-in-title' AND cn.country_code ='[nl]' AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id | job |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE an.person_id = n.id AND mk.keyword_id = k.id AND mc.company_id = cn.id AND mc.movie_id = mk.movie_id AND ci.movie_id = t.id AND t.episode_nr >= 50 AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND k.keyword = 'character-name-in-title' AND an.person_id = ci.person_id AND t.episode_nr < 100 AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND t.id = mc.movie_id LIMIT 20; | job |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE p_type = 1 ) AS all_nations AND c_nationkey = n1.n_nationkey AND o_custkey = c_custkey AND l_orderkey = o_orderkey AND r_name = 1 AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_nationkey = n2.n_nationkey AND n1.n_regionkey = r_regionkey AND p_partkey = l_partkey AND s_suppkey = l_suppkey GROUP BY o_year ORDER BY o_year | tpch |
Select COUNT(1) From comments As c, posts As p, postLinks As pl Where p.Id = pl.PostId AND p.CreationDate >= '2010-07-23 07:27:31'::timestamp AND p.CreationDate <= '2014-09-09 01:43:00'::timestamp AND p.CommentCount <= 18 AND c.UserId = p.OwnerUserId | stats |
SELECT n_name, s_address, s_comment, s_phone, s_acctbal, p_mfgr, p_partkey, s_name FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE t.id = mc.movie_id AND ci.person_id = an.person_id AND mc.note LIKE '%(USA)%' AND chn.id = ci.person_role_id AND n.gender = 'f' AND mi.movie_id = ci.movie_id AND cn.country_code = '[us]' AND mi.movie_id = mc.movie_id AND n.id = ci.person_id AND an.person_id = n.id AND t.id = mi.movie_id AND ci.movie_id = mc.movie_id AND t.production_year > 2000 AND ci.role_id = rt.id AND it.info = 'release dates' AND it.id = mi.info_type_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND rt.role = 'actress' AND t.id = ci.movie_id AND cn.id = mc.company_id | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey != l1.l_suppkey ) AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey != l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND o_orderkey = l1.l_orderkey AND s_suppkey = l1.l_suppkey AND l1.l_receiptdate > l1.l_commitdate AND n_name = 1 AND s_nationkey = n_nationkey AND o_orderstatus = 'F' GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT SUM(cs_quantity) AS catalog_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, s_store_name, i_item_id, SUM(ss_quantity) AS store_sales_quantity, i_item_desc, 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 d1.d_moy = 3 AND d1.d_year = 2001 AND d2.d_moy BETWEEN 3 AND 3 + 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 3 AND 3 + 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(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 >= 50 AND mk.keyword_id = k.id AND mc.company_id = cn.id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND an.person_id = n.id AND t.id = mc.movie_id AND ci.movie_id = t.id AND ci.movie_id = mc.movie_id AND mc.movie_id = mk.movie_id AND t.episode_nr < 100 AND k.keyword = 'character-name-in-title' AND cn.country_code = '[us]' AND t.id = mk.movie_id AND an.person_id = ci.person_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 = mc.movie_id AND at.movie_id = mi.movie_id AND it1.id = mi_idx.info_type_id AND mi_idx.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND mi_idx.info < '3.5' AND at.title LIKE '%Champion%' AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND kt.kind = 'movie' AND it1.info = 'rating' AND it2.info = 'release dates' AND t.id = mi_idx.movie_id AND t.id = mi.movie_id AND t.production_year > 2000 AND mi.movie_id = mi_idx.movie_id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND at.movie_id = mc.movie_id AND mi.info LIKE 'USA:%200%' AND t.id = at.movie_id AND cn.country_code = '[us]' | job |
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 >= 98 AND ss_list_price <= 98 + 10 OR ss_coupon_amt BETWEEN 2733 AND 2733 + 1000 OR ss_wholesale_cost BETWEEN 77 AND 77 + 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_list_price BETWEEN 18 AND 18 + 10 OR ss_coupon_amt BETWEEN 510 AND 510 + 1000 OR ss_wholesale_cost BETWEEN 78 AND 78 + 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 AND (ss_list_price BETWEEN 71 AND 71 + 10 OR ss_coupon_amt BETWEEN 1905 AND 1905 + 1000 OR ss_wholesale_cost BETWEEN 61 AND 61 + 20) ) AS b3 AND ss_quantity BETWEEN 0 AND 5 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 n.id = ci.person_id AND mc.company_id = cn.id AND t.id = mc.movie_id AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND t.episode_nr < 100 AND k.keyword = 'character-name-in-title' AND mc.movie_id = mk.movie_id AND t.episode_nr >= 50 AND t.id = mk.movie_id AND an.person_id = ci.person_id AND cn.country_code = '[us]' AND ci.movie_id = t.id AND mk.keyword_id = k.id AND ci.movie_id = mk.movie_id | job |
SELECT i_item_id, AVG(cs_quantity) AS agg1, AVG(cs_list_price) AS agg2, AVG(cs_sales_price) AS agg4, AVG(cs_coupon_amt) AS agg3 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 = 1999 AND cd_gender = 'M' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
select cust_nation, l_year, supp_nation, 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 ( (n1.n_name = 1 and n2.n_name = 1) or (n1.n_name = 1 and n2.n_name = 1) ) and s_suppkey = l_suppkey and s_nationkey = n1.n_nationkey and c_custkey = o_custkey and c_nationkey = n2.n_nationkey and l_shipdate between DATE '1995-01-01' and DATE '1996-12-31' ) as shipping and o_orderkey = l_orderkey group by supp_nation, cust_nation, l_year order by supp_nation, cust_nation, l_year | 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 s_nationkey = n_nationkey AND p_partkey = l_partkey AND ps_partkey = l_partkey AND o_orderkey = l_orderkey AND p_name LIKE 1 ) AS profit AND ps_suppkey = l_suppkey AND s_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, AVG(sr_return_quantity) AS store_returns_quantityave, AVG(cs_quantity) AS catalog_sales_quantityave, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, AVG(ss_quantity) AS store_sales_quantityave, i_item_id, i_item_desc, s_state FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '1999Q2' AND d2.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') AND d3.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state; | tpcds |
SELECT c_preferred_cust_flag, c_salutation, cnt, c_first_name, c_last_name, 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 hd_vehicle_count > 0 AND d_dom BETWEEN 1 AND 2 AND d_year = ANY(ARRAY[1999, 2002, 2001]) AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND s_county IN ('Williamson County', 'Jefferson County', 'Jackson County', 'Champaign County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.id = ci.person_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.production_year > 2010 AND n.name LIKE '%Downey%Robert%' AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' LIMIT 50; | job |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE chn.id = ci.person_role_id AND cn.id = mc.company_id AND cn.country_code = '[ru]' AND t.production_year > 2005 AND ci.note LIKE '%(voice)%' AND ct.id = mc.company_type_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND rt.id = ci.role_id AND t.id = mc.movie_id AND rt.role = 'actor' AND ci.note LIKE '%(uncredited)%' | job |
WITH _q AS ( SELECT c_last_name, c_salutation, ss_ticket_number, c_first_name, c_preferred_cust_flag, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(1) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE hd_vehicle_count > 0 AND d_year IN (1999, 2000, 2003) AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') AND d_dom BETWEEN 1 AND 2 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 ) SELECT * FROM _q; | tpcds |
SELECT STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, i_item_id, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(ss_quantity) AS store_sales_quantityave, s_state, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, i_item_desc, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, COUNT(sr_return_quantity) AS store_returns_quantitycount FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '2000Q1' AND d2.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') AND d3.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
WITH _q AS ( SELECT SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM lineitem, part WHERE ( p_partkey = l_partkey AND p_brand = 1 AND p_container IN ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG') AND l_quantity BETWEEN 1 AND 1 + 10 AND p_size BETWEEN 1 AND 5 AND l_shipmode IN ('AIR', 'AIR REG') AND l_shipinstruct = 'DELIVER IN PERSON' ) OR ( p_partkey = l_partkey AND p_brand = 1 AND p_container IN ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK') AND l_quantity >= 1 AND l_quantity <= 1 + 10 AND p_size BETWEEN 1 AND 10 AND l_shipmode IN ('AIR', 'AIR REG') AND l_shipinstruct = 'DELIVER IN PERSON' ) OR ( p_partkey = l_partkey AND p_brand = 1 AND p_container IN ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG') AND l_quantity >= 1 AND l_quantity <= 1 + 10 AND p_size BETWEEN 1 AND 15 AND l_shipmode IN ('AIR', 'AIR REG') AND l_shipinstruct = 'DELIVER IN PERSON' ) LIMIT 50 ) SELECT * FROM _q; | tpch |
SELECT c_custkey, c_phone, c_address, n_name, c_comment, c_acctbal, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_name FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT 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 s_nationkey = n2.n_nationkey AND l_orderkey = o_orderkey AND c_nationkey = n1.n_nationkey AND r_name = 1 AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND o_custkey = c_custkey AND p_type = 1 ) AS all_nations AND n1.n_regionkey = r_regionkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND it.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id AND it.info = 'top 250 rank' AND t.id = mc.movie_id | job |
Select l_shipmode, Sum( Case When o_orderpriority = '1-URGENT' Or o_orderpriority = '2-HIGH' Then 1 Else 0 End ) As high_line_count, Sum( Case When o_orderpriority <> '1-URGENT' And o_orderpriority <> '2-HIGH' Then 1 Else 0 End ) As low_line_count From orders, lineitem Where o_orderkey = l_orderkey And l_receiptdate < DATE 1 + INTERVAL '1' YEAR And l_shipdate < l_commitdate And l_commitdate < l_receiptdate And l_receiptdate >= DATE 1 And l_shipmode In (1, 1) Group By l_shipmode Order By l_shipmode | tpch |
SELECT SUM(l_quantity), o_orderkey, c_custkey, o_orderdate, o_totalprice, c_name FROM customer, orders, lineitem WHERE o_orderkey IN ( SELECT l_orderkey FROM lineitem GROUP BY l_orderkey HAVING SUM(l_quantity) > 1 ) AND c_custkey = o_custkey AND o_orderkey = l_orderkey GROUP BY c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice ORDER BY o_totalprice DESC, o_orderdate LIMIT 100 | tpch |
SELECT 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 ( (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 c_custkey = o_custkey AND s_nationkey = n1.n_nationkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_suppkey = l_suppkey AND c_nationkey = n2.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count, l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count FROM orders, lineitem WHERE o_orderkey = l_orderkey AND l_shipmode IN (1, 1) AND l_commitdate < l_receiptdate AND l_shipdate < l_commitdate AND l_receiptdate >= DATE 1 AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 100; | tpch |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.id = ci.movie_id AND t.id = mk.movie_id AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2010 AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND k.keyword = 'marvel-cinematic-universe' | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE l1.l_receiptdate > l1.l_commitdate AND o_orderkey = l1.l_orderkey AND n_name = 1 AND s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND 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 n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE c_custkey = o_custkey AND r_name = 1 AND c_nationkey = s_nationkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND l_suppkey = s_suppkey AND l_orderkey = o_orderkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey GROUP BY n_name ORDER BY revenue DESC | 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 ci.person_id = n.id AND it.id = pi.info_type_id AND pi.person_id = ci.person_id AND t.production_year BETWEEN 1980 AND 1995 AND ml.linked_movie_id = t.id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND an.person_id = ci.person_id AND pi.person_id = an.person_id AND n.id = an.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND an.name LIKE '%a%' AND n.id = pi.person_id AND pi.note = 'Volker Boehm' AND lt.link = 'features' AND it.info = 'mini biography' AND t.id = ci.movie_id AND lt.id = ml.link_type_id AND ci.movie_id = ml.linked_movie_id | job |
select l_shipmode, sum( case when o_orderpriority = '1-URGENT' or o_orderpriority = '2-HIGH' then 1 else 0 end ) as high_line_count, sum( case when o_orderpriority <> '1-URGENT' and o_orderpriority <> '2-HIGH' then 1 else 0 end ) as low_line_count from orders, lineitem where 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 AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR group by l_shipmode order by l_shipmode | 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 mi.movie_id = mi_idx.movie_id AND mk.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND mk.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND cn.country_code <> '[us]' AND t.id = mi_idx.movie_id AND it1.info = 'countries' AND k.id = mk.keyword_id AND t.production_year > 2008 AND t.id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND kt.kind IN ('movie', 'episode') AND t.id = mc.movie_id AND cn.id = mc.company_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mc.note LIKE '%(200%)%' AND it2.info = 'rating' AND mi.movie_id = mc.movie_id AND it1.id = mi.info_type_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND it2.id = mi_idx.info_type_id AND mi_idx.info < '7.0' AND mc.note NOT LIKE '%(USA)%' LIMIT 20; | job |
SELECT COUNT(*) FROM comments AS c, postHistory AS ph, badges AS b, votes AS v, users AS u WHERE b.UserId = ph.UserId AND v.UserId = c.UserId AND ph.UserId = v.UserId AND ph.PostHistoryTypeId = 12 AND u.Id = b.UserId AND u.UpVotes = 0 LIMIT 100; | 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 asc, c_count asc | 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 t.production_year BETWEEN 1980 AND 1995 AND n.id = an.person_id AND ci.movie_id = ml.linked_movie_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND ci.person_id = n.id AND pi.note = 'Volker Boehm' AND ml.linked_movie_id = t.id AND pi.person_id = an.person_id AND lt.link = 'features' AND it.info = 'mini biography' AND an.person_id = ci.person_id AND t.id = ci.movie_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND an.name LIKE '%a%' AND it.id = pi.info_type_id AND pi.person_id = ci.person_id AND n.id = pi.person_id AND lt.id = ml.link_type_id | job |
select count(*) from comments as c, posts as p, votes as v, users as u where c.Score = 0 AND u.Id = c.UserId AND p.Score >= 0 AND u.Id = p.OwnerUserId AND p.ViewCount >= 0 AND u.Id = v.UserId | 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 = mc.movie_id AND t.episode_nr < 100 AND cn.country_code = '[us]' AND ci.movie_id = mc.movie_id AND an.person_id = ci.person_id AND mc.movie_id = mk.movie_id AND ci.movie_id = t.id AND ci.movie_id = mk.movie_id AND k.keyword = 'character-name-in-title' AND t.episode_nr >= 50 AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.company_id = cn.id AND an.person_id = n.id AND n.id = ci.person_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_shipdate < l_commitdate and l_receiptdate < DATE 1 + INTERVAL '1' YEAR and o_orderkey = l_orderkey and l_receiptdate >= DATE 1 and l_shipmode in (1, 1) and l_commitdate < l_receiptdate group by l_shipmode order by l_shipmode | tpch |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND k.id = mk.keyword_id AND t.id = mi.movie_id AND k.keyword Like '%sequel%' AND t.production_year > 2010 AND mi.info In ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') | job |
select min(chn.name) as uncredited_voiced_character, min(t.title) as russian_movie from char_name as chn, cast_info as ci, company_name as cn, company_type as ct, movie_companies as mc, role_type as rt, title as t where cn.country_code = '[ru]' and t.id = mc.movie_id and ci.note like '%(voice)%' and cn.id = mc.company_id and rt.role = 'actor' and ci.movie_id = mc.movie_id and ci.note like '%(uncredited)%' and t.id = ci.movie_id and t.production_year > 2005 and rt.id = ci.role_id and ct.id = mc.company_type_id and chn.id = ci.person_role_id | job |
SELECT extended_price, list_price, ss_ticket_number, ca_city, c_first_name, extended_tax, bought_city, c_last_name FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 6 OR hd_vehicle_count = 2) AND d_year IN (2001, 2000, 2002) AND s_city IN ('Five Points', 'Springfield') AND d_dow IN (6, 0) 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 AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, i_item_desc, AVG(sr_return_quantity) AS store_returns_quantityave, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, s_state, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, i_item_id, COUNT(ss_quantity) AS store_sales_quantitycount, COUNT(sr_return_quantity) AS store_returns_quantitycount, COUNT(cs_quantity) AS catalog_sales_quantitycount FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '2001Q1' AND d2.d_quarter_name IN ('2001Q1', '2000Q2', '1999Q3') AND d3.d_quarter_name IN ('2001Q1', '2000Q2', '1999Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
select MAX(chn.name) as uncredited_voiced_character, MAX(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 cn.id = mc.company_id and t.production_year > 2005 and cn.country_code = '[ru]' and ct.id = mc.company_type_id and t.id = ci.movie_id and ci.note like '%(uncredited)%' and ci.note like '%(voice)%' and rt.role = 'actor' and rt.id = ci.role_id and chn.id = ci.person_role_id and t.id = mc.movie_id | job |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where mk.movie_id = mi.movie_id AND mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.id = mi.movie_id AND k.keyword like '%sequel%' AND t.production_year > 2005 AND t.id = mk.movie_id AND k.id = mk.keyword_id | job |
Select c_last_name, c_first_name, ca_city, bought_city, ss_ticket_number, extended_price, extended_tax, list_price From ( Select ss_ticket_number, ss_customer_sk, ca_city As bought_city, Sum(ss_ext_sales_price) As extended_price, Sum(ss_ext_list_price) As list_price, Sum(ss_ext_tax) As extended_tax From store_sales 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 INNER JOIN customer_address On ss_addr_sk = ca_address_sk Where (hd_dep_count = 6 Or hd_vehicle_count = 2) AND s_city In ('Five Points', 'Springfield') AND d_year In (2001, 2000, 2002) AND d_dow In (6, 0) Group By ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) As dn INNER JOIN customer On ss_customer_sk = c_customer_sk INNER 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 i_item_id, AVG(cs_list_price) AS agg2, AVG(cs_quantity) AS agg1, AVG(cs_sales_price) AS agg4, AVG(cs_coupon_amt) AS agg3 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 cd_gender = 'F' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND d_year = 1999 AND cd_marital_status = 'S' AND cd_education_status = 'Advanced Degree' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT COUNT(*) FROM comments AS c, posts AS p, votes AS v, users AS u WHERE p.ViewCount >= 0 AND u.Id = c.UserId AND u.Id = p.OwnerUserId AND p.Score >= 0 AND u.Id = v.UserId AND c.Score = 0 LIMIT 100; | 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 ca_state IN ('TX', 'WA', 'FL') AND ca_country = 'United States' AND ( (hd_dep_count = 0 AND hd_vehicle_count <= 1) OR (hd_dep_count = 3 AND hd_vehicle_count <= 4) OR (hd_dep_count = 6 AND hd_vehicle_count <= 4) ) AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price BETWEEN 83 AND 135) OR (cd_marital_status = 'S' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 84 AND 125) OR (cd_marital_status = 'D' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 126 AND 196) ) AND d_year = 1999 AND s_market_id = 4 | tpcds |
SELECT list_price, bought_city, c_first_name, ss_ticket_number, ca_city, extended_tax, c_last_name, 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 = 2) AND d_dow IN (6, 0) AND d_year IN (2001, 2001, 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 MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE cn.id = mc.company_id AND n.gender = 'f' AND n.id = ci.person_id AND it.info = 'release dates' AND rt.role = 'actress' AND it.id = mi.info_type_id AND t.production_year > 2000 AND ci.role_id = rt.id AND cn.country_code = '[us]' AND t.id = ci.movie_id AND chn.id = ci.person_role_id AND mi.movie_id = mc.movie_id AND t.id = mi.movie_id AND ci.movie_id = mc.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = mc.movie_id AND mi.movie_id = ci.movie_id AND ci.person_id = an.person_id AND mc.note LIKE '%(USA)%' AND an.person_id = n.id | job |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND t.id = mc.movie_id AND mk.keyword_id = k.id AND t.episode_nr < 100 AND ci.movie_id = mc.movie_id AND ci.movie_id = t.id AND k.keyword = 'character-name-in-title' AND t.episode_nr >= 50 AND mc.company_id = cn.id AND ci.movie_id = mk.movie_id AND an.person_id = ci.person_id AND mc.movie_id = mk.movie_id AND n.id = ci.person_id AND an.person_id = n.id AND t.id = mk.movie_id | job |
SELECT c_custkey, o_orderkey, SUM(l_quantity), o_orderdate, c_name, o_totalprice FROM customer, orders, lineitem WHERE o_orderkey IN ( SELECT l_orderkey FROM lineitem GROUP BY l_orderkey HAVING SUM(l_quantity) > 1 ) AND c_custkey = o_custkey AND o_orderkey = l_orderkey GROUP BY c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice ORDER BY o_totalprice ASC, o_orderdate LIMIT 100 | tpch |
Select Min(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 it.id = mi_idx.info_type_id AND t.production_year BETWEEN 2000 AND 2005 AND mi_idx.info > '8.0' AND t.id = mi_idx.movie_id AND it.info ='rating' 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 k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND n.id = ci.person_id AND n.name LIKE '%Hemsworth%Chris%' AND t.production_year > 2010 AND t.id = mk.movie_id AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id | job |
select min(n.name) as voicing_actress, min(t.title) as voiced_movie from aka_name as an, char_name as chn, cast_info as ci, company_name as cn, info_type as it, movie_companies as mc, movie_info as mi, name as n, role_type as rt, title as t where t.id = mi.movie_id AND an.person_id = n.id AND t.id = ci.movie_id AND ci.role_id = rt.id AND cn.id = mc.company_id AND t.production_year > 2000 AND it.info = 'release dates' AND rt.role = 'actress' AND mi.movie_id = ci.movie_id AND t.id = mc.movie_id AND mc.note like '%(USA)%' AND n.gender = 'f' AND ci.note in ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.movie_id = mc.movie_id AND it.id = mi.info_type_id AND chn.id = ci.person_role_id AND ci.person_id = an.person_id AND n.id = ci.person_id AND cn.country_code = '[us]' AND mi.movie_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 k.keyword = 'anime' AND mc.note LIKE '%(Japan)%' AND t.id = mk.movie_id AND mc.note NOT LIKE '%(USA)%' AND an.person_id = n.id AND t.production_year > 1990 AND mk.movie_id = ci.movie_id AND k.id = mk.keyword_id AND rt.role = 'actress' AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND ci.note LIKE '%(voice: English version)%' AND cn.id = mc.company_id AND mk.movie_id = mc.movie_id AND t.id = ci.movie_id AND n.gender = 'f' AND cn.country_code = '[jp]' AND n.id = ci.person_id AND ci.person_id = an.person_id AND ci.role_id = rt.id | job |
SELECT cc_call_center_id AS call_center, SUM(cr_net_loss) AS returns_loss, cc_manager AS manager, cc_name AS call_center_name FROM call_center JOIN catalog_returns ON cr_call_center_sk = cc_call_center_sk JOIN date_dim ON cr_returned_date_sk = d_date_sk JOIN customer ON cr_returning_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN customer_demographics ON cr_returning_cdemo_sk = cd_demo_sk JOIN household_demographics ON cr_returning_hdemo_sk = hd_demo_sk WHERE d_moy = 12 AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree') OR (hd_buy_potential LIKE '1001-5000%' AND ca_gmt_offset = -5) ) AND ca_gmt_offset = -5 AND d_year = 2001 GROUP BY cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status ORDER BY returns_loss DESC LIMIT 100; | tpcds |
SELECT MIN(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 it.info = 'bottom 10 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi.movie_id AND ct.kind = 'production companies' AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND it.id = mi.info_type_id | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND mk.keyword_id = k.id AND mc.movie_id = t.id AND k.keyword ='character-name-IN-title' AND t.id = mk.movie_id AND cn.country_code ='[sm]' | job |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE r_name = 1 AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND l_suppkey = s_suppkey AND n_regionkey = r_regionkey AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND s_nationkey = n_nationkey AND c_nationkey = s_nationkey AND o_orderdate >= DATE 1 GROUP BY n_name ORDER BY revenue DESC | tpch |
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_commitdate < l_receiptdate AND o_orderkey = l_orderkey AND l_shipdate < l_commitdate AND l_shipmode IN (1, 1) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
with _q as ( select o_year, sum( case when nation = 1 then volume else 0 end ) / sum(volume) as mkt_share from ( select EXTRACT(YEAR from o_orderdate) as o_year, l_extendedprice * (1 - l_discount) as volume, n2.n_name as nation from part, supplier, lineitem, orders, customer, nation n1, nation n2, region where p_partkey = l_partkey and s_suppkey = l_suppkey and l_orderkey = o_orderkey and o_custkey = c_custkey and c_nationkey = n1.n_nationkey and n1.n_regionkey = r_regionkey and r_name = 1 and s_nationkey = n2.n_nationkey and o_orderdate between DATE '1995-01-01' and DATE '1996-12-31' and p_type = 1 ) as all_nations group by o_year order by o_year ) select * from _q; | tpch |
SELECT cnt, c_first_name, ss_ticket_number, c_last_name, c_salutation, c_preferred_cust_flag FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) 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_year = ANY(ARRAY[2001, 2001, 2001]) AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') AND d_dom BETWEEN 1 AND 2 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 count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, badges as b, users as u where b.UserId = u.Id and pl.LinkTypeId = 1 and p.Score <= 40 and c.UserId = u.Id and p.Id = c.PostId and p.Id = pl.RelatedPostId and p.Id = ph.PostId and p.Id = v.PostId | stats |
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.id = pi.info_type_id AND pi.note = 'Volker Boehm' AND n.id = pi.person_id AND t.production_year BETWEEN 1980 AND 1995 AND ci.person_id = n.id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND lt.link = 'features' AND t.id = ci.movie_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND it.info = 'mini biography' AND an.person_id = ci.person_id AND pi.person_id = ci.person_id AND an.name LIKE '%a%' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND n.id = an.person_id AND pi.person_id = an.person_id AND ci.movie_id = ml.linked_movie_id | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mk.keyword_id = k.id AND cn.country_code ='[de]' AND k.keyword ='character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id | job |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE l_orderkey = o_orderkey AND n_regionkey = r_regionkey AND c_custkey = o_custkey AND c_nationkey = s_nationkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND s_nationkey = n_nationkey AND o_orderdate >= DATE 1 AND r_name = 1 AND l_suppkey = s_suppkey GROUP BY n_name ORDER BY revenue DESC | tpch |
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 s_nationkey = n2.n_nationkey AND l_orderkey = o_orderkey AND s_suppkey = l_suppkey AND r_name = 1 AND c_nationkey = n1.n_nationkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND n1.n_regionkey = r_regionkey AND p_partkey = l_partkey AND o_custkey = c_custkey AND p_type = 1 ) AS all_nations GROUP BY o_year ORDER BY o_year | tpch |
select p_brand, p_type, p_size, count(distinct ps_suppkey) as supplier_cnt from partsupp, part where ps_suppkey not in ( select s_suppkey from supplier where s_comment like '%Customer%Complaints%' ) AND p_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) group by p_brand, p_type, p_size order by supplier_cnt desc, p_brand, p_type, p_size | tpch |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE n.id = ci.person_id AND cn.country_code = '[jp]' AND ci.note LIKE '%(voice: English version)%' AND k.keyword = 'anime' AND t.id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND mc.note NOT LIKE '%(USA)%' AND ci.movie_id = mc.movie_id AND an.person_id = n.id AND rt.role = 'actress' AND t.id = ci.movie_id AND ci.person_id = an.person_id AND t.id = mk.movie_id AND t.production_year > 1990 AND ct.id = mc.company_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id AND mk.movie_id = ci.movie_id AND ci.role_id = rt.id AND mk.movie_id = mc.movie_id AND n.gender = 'f' | job |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE ci.role_id = rt.id AND n1.name LIKE '%Yo%' AND ci.movie_id = mc.movie_id AND ci.note = '(voice: English version)' AND mc.note LIKE '%(Japan)%' AND an1.person_id = ci.person_id AND cn.country_code = '[jp]' AND rt.role = 'actress' AND mc.note NOT LIKE '%(USA)%' AND n1.name NOT LIKE '%Yu%' AND n1.id = ci.person_id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = t.id AND an1.person_id = n1.id | job |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE chn.id = ci.person_role_id AND rt.role = 'actress' AND an.person_id = n.id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND n.gender = 'f' AND it.info = 'release dates' AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND mi.movie_id = mc.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = mi.movie_id AND t.id = ci.movie_id AND ci.role_id = rt.id AND ci.person_id = an.person_id AND t.production_year > 2000 AND n.id = ci.person_id AND t.id = mc.movie_id AND it.id = mi.info_type_id AND mc.note LIKE '%(USA)%' | job |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE r_name = 1 AND p_type LIKE 1 AND s_suppkey = ps_suppkey AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_partkey = ps_partkey AND p_size = 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey 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 it.info = 'release dates' AND mi.note LIKE '%internet%' AND t.id = mk.movie_id AND mi.info LIKE 'USA:% 199%' AND k.id = mk.keyword_id AND cn.country_code = '[us]' AND ml.movie_id = mc.movie_id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND mk.movie_id = mc.movie_id AND it.id = mi.info_type_id AND t.id = ml.movie_id AND cn.id = mc.company_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND t.production_year > 1950 AND lt.id = ml.link_type_id AND t.id = mc.movie_id AND ml.movie_id = mi.movie_id AND mc.note LIKE '%(USA)%' AND lt.link LIKE '%follow%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') | job |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(1) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_dom BETWEEN 1 AND 2 AND d_year IN (2001, 2001, 2001) AND hd_vehicle_count > 0 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
Select Sum(amount) As sum_profit, o_year, nation From ( Select n_name As nation, EXTRACT(YEAR From o_orderdate) As o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity As amount From part, supplier, lineitem, partsupp, orders, nation Where ps_suppkey = l_suppkey AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey AND ps_partkey = l_partkey AND p_name Like 1 ) As profit Group By nation, o_year Order By nation, o_year Desc | tpch |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE n.gender = 'f' AND an.person_id = n.id AND mc.note LIKE '%(Japan)%' AND k.keyword = 'anime' AND rt.role = 'actress' AND k.id = mk.keyword_id AND ci.person_id = an.person_id AND t.id = mk.movie_id AND cn.id = mc.company_id AND t.id = ci.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = ci.movie_id AND t.production_year > 1990 AND ct.id = mc.company_type_id AND n.id = ci.person_id AND ci.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND ci.note LIKE '%(voice: English version)%' AND ci.role_id = rt.id AND t.id = mc.movie_id AND cn.country_code = '[jp]' LIMIT 100; | job |
SELECT SUM(l_extendedprice) / 7.0 AS avg_yearly FROM lineitem, part WHERE p_partkey = l_partkey AND p_brand = 1 AND p_container = 1 AND l_quantity < ( SELECT 0.2 * AVG(l_quantity) FROM lineitem WHERE l_partkey = p_partkey ) LIMIT 20; | tpch |
SELECT ss_ticket_number, list_price, extended_tax, c_first_name, extended_price, ca_city, c_last_name, bought_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 s_city IN ('Five Points', 'Springfield') AND d_year IN (2001, 2000, 2002) AND d_dow IN (6, 0) AND (hd_dep_count = 6 OR hd_vehicle_count = 2) 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(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 t.id = mk.movie_id AND k.keyword ='character-name-In-title' AND cn.country_code ='[nl]' AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = t.id AND cn.id = mc.company_id | job |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v where c.Score = 0 AND p.Id = pl.PostId AND pl.LinkTypeId = 1 AND p.FavoriteCount >= 0 AND p.Id = c.PostId AND p.Id = ph.PostId AND p.Id = v.PostId | stats |
select l_orderkey, sum(l_extendedprice * (1 - l_discount)) as revenue, o_orderdate, o_shippriority from customer, orders, lineitem where c_custkey = o_custkey AND c_mktsegment = 1 AND l_shipdate > DATE 1 AND o_orderdate < DATE 1 AND l_orderkey = o_orderkey group by l_orderkey, o_orderdate, o_shippriority order by revenue ASC, o_orderdate limit 10 | tpch |
Select c_count, Count(*) As custdist From ( Select c_custkey, Count(o_orderkey) As c_count From customer LEFT INNER 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 20; | tpch |
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