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SELECT i_item_id, AVG(cs_quantity) AS agg1, AVG(cs_list_price) AS agg2, AVG(cs_coupon_amt) AS agg3, AVG(cs_sales_price) AS agg4 FROM catalog_sales INNER JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk INNER JOIN date_dim ON cs_sold_date_sk = d_date_sk INNER JOIN item ON cs_item_sk = i_item_sk INNER JOIN promotion ON cs_promo_sk = p_promo_sk WHERE d_year = 1999 AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = '2 yr Degree' AND cd_marital_status = 'S' AND cd_gender = 'M' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE o_orderstatus = 'F' AND o_orderkey = l1.l_orderkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND s_nationkey = n_nationkey AND n_name = 1 AND l1.l_receiptdate > l1.l_commitdate AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND s_suppkey = l1.l_suppkey GROUP BY s_name ORDER BY numwait DESC, s_name 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 mi.movie_id = ci.movie_id and ci.person_id = an.person_id and t.production_year > 2000 and it.info = 'release dates' and ci.note in ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') and ci.movie_id = mc.movie_id and cn.country_code = '[us]' and rt.role = 'actress' and n.id = ci.person_id and chn.id = ci.person_role_id and t.id = mi.movie_id and ci.role_id = rt.id and mc.note like '%(USA)%' and n.gender = 'f' and t.id = ci.movie_id and mi.movie_id = mc.movie_id and cn.id = mc.company_id and t.id = mc.movie_id and an.person_id = n.id and it.id = mi.info_type_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 t.id = mk.movie_id AND k.id = mk.keyword_id AND k.keyword LIKE '%sequel%' AND t.production_year > 2005 AND t.id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') LIMIT 500; | job |
Select Min(t.title) As american_movie From company_type As ct, info_type As it, movie_companies As mc, movie_info As mi, title As t Where it.id = mi.info_type_id AND t.id = mc.movie_id AND it.info = 'bottom 10 rank' AND mc.note Not Like '%(As Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi.movie_id AND ct.id = mc.company_type_id AND mc.movie_id = mi.movie_id AND (mc.note Like '%(co-production)%' Or mc.note Like '%(presents)%') AND ct.kind = 'production companies' | job |
WITH _q AS ( SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE k.keyword ='character-name-in-title' AND cn.id = mc.company_id AND cn.country_code ='[nl]' AND mk.keyword_id = k.id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id ) SELECT * FROM _q; | 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_custkey = o_custkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND o_orderkey = l_orderkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND s_suppkey = l_suppkey AND c_nationkey = n2.n_nationkey AND s_nationkey = n1.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
Select Count(*) From comments As c, votes As v, badges As b, users As u Where u.Id = b.UserId And u.Id = c.UserId And c.Score = 1 And u.Id = v.UserId And u.CreationDate >= '2010-07-20 01:27:29'::timestamp | stats |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE mi_idx.info < '3.5' AND kt.kind = 'movie' AND mi.movie_id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND t.production_year > 2000 AND kt.id = t.kind_id AND t.id = mc.movie_id AND at.movie_id = mi.movie_id AND mi.movie_id = mc.movie_id AND t.id = mi.movie_id AND at.movie_id = mc.movie_id AND at.title LIKE '%Champion%' AND cn.id = mc.company_id AND at.movie_id = mi_idx.movie_id AND cn.country_code = '[us]' AND t.id = mi_idx.movie_id AND t.id = at.movie_id AND it2.info = 'release dates' AND it1.id = mi_idx.info_type_id AND mi_idx.movie_id = mc.movie_id AND it1.info = 'rating' AND it2.id = mi.info_type_id | job |
with customer_total_return as ( select sr_customer_sk as ctr_customer_sk, sr_store_sk as ctr_store_sk, sum(sr_return_amt) as ctr_total_return from store_returns INNER JOIN date_dim on sr_returned_date_sk = d_date_sk where d_year = 2001 group by sr_customer_sk, sr_store_sk ) select c_customer_id from customer_total_return as ctr1 INNER JOIN store on s_store_sk = ctr1.ctr_store_sk INNER JOIN customer on c_customer_sk = ctr1.ctr_customer_sk where ctr1.ctr_total_return > ( select avg(ctr_total_return) * 1.2 from customer_total_return as ctr2 where ctr1.ctr_store_sk = ctr2.ctr_store_sk ) and s_state = 'WA' order by c_customer_id; | tpcds |
SELECT MIN(lt.link) AS link_type, MIN(cn.name) AS from_company, 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 it.info = 'release dates' AND lt.link LIKE '%follow%' AND mc.note LIKE '%(USA)%' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mi.note LIKE '%internet%' AND mi.info LIKE 'USA:% 199%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND t.production_year > 1950 AND lt.id = ml.link_type_id AND ml.movie_id = mi.movie_id AND t.id = ml.movie_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = t.id AND t.id = mk.movie_id AND t.id = mc.movie_id AND it.id = mi.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id LIMIT 20; | job |
WITH year_total AS ( SELECT c_customer_id AS customer_id, c_first_name AS customer_first_name, c_birth_country AS customer_birth_country, c_email_address AS customer_email_address, c_last_name AS customer_last_name, 's' AS sale_type, c_login AS customer_login, d_year AS dyear, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_preferred_cust_flag AS customer_preferred_cust_flag 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 2000 AND 2000 + 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 = 2000 AND t_s_secyear.dyear = 2000 + 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(t.title) As american_movie From company_type As ct, info_type As it, movie_companies As mc, movie_info As mi, title As t Where ct.id = mc.company_type_id And it.info = 'bottom 10 rank' And mc.movie_id = mi.movie_id And it.id = mi.info_type_id And t.id = mi.movie_id And (mc.note Like '%(co-production)%' Or mc.note Like '%(presents)%') And t.id = mc.movie_id And ct.kind = 'production companies' And mc.note Not Like '%(As Metro-Goldwyn-Mayer Pictures)%' | job |
select s_name, COUNT(1) as numwait from supplier, lineitem l1, orders, nation where s_suppkey = l1.l_suppkey and o_orderkey = l1.l_orderkey and o_orderstatus = 'F' and l1.l_receiptdate > l1.l_commitdate and 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 s_nationkey = n_nationkey and n_name = 1 group by s_name order by numwait desc, s_name limit 100 | tpch |
SELECT c_comment, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_address, n_name, c_custkey, c_phone, c_acctbal, 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; | tpch |
SELECT MAX(t.title) AS western_violent_movie, MAX(cn.name) AS movie_company, MAX(mi_idx.info) AS rating 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.info IN ('Germany', 'German', 'USA', 'American') AND t.production_year > 2008 AND mi.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND t.id = mi.movie_id AND it2.info = 'rating' AND k.id = mk.keyword_id AND t.id = mk.movie_id AND kt.id = t.kind_id AND mc.note LIKE '%(200%)%' AND it1.id = mi.info_type_id AND mi.movie_id = mi_idx.movie_id AND it2.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = mi.movie_id AND kt.kind IN ('movie', 'episode') AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mi_idx.info < '7.0' AND mk.movie_id = mc.movie_id AND it1.info = 'countries' AND mc.movie_id = mi_idx.movie_id AND mk.movie_id = mi_idx.movie_id AND cn.country_code <> '[us]' AND t.id = mc.movie_id AND t.id = mi_idx.movie_id | job |
SELECT c_custkey, c_name, SUM(l_quantity), o_orderdate, o_orderkey, 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 DESC, o_orderdate; | tpch |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND mc.movie_id = mi.movie_id AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi.info_type_id AND it.info = 'bottom 10 rank' AND t.id = mi.movie_id | job |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi.movie_id AND t.id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id AND it.info = 'bottom 10 rank' AND it.id = mi.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 p_partkey = l_partkey AND ps_partkey = l_partkey AND ps_suppkey = l_suppkey AND s_suppkey = l_suppkey AND o_orderkey = l_orderkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | 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 it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND ct.id = mc.company_type_id | 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 s_nationkey = n1.n_nationkey and c_custkey = o_custkey and 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 l_shipdate between DATE '1995-01-01' and DATE '1996-12-31' ) as shipping and s_suppkey = l_suppkey and o_orderkey = l_orderkey group by supp_nation, cust_nation, l_year order by supp_nation, cust_nation, l_year | tpch |
Select Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v, users As u Where p.PostTypeId = 1 AND p.Id = c.PostId AND p.AnswerCount >= 0 AND u.Id = p.OwnerUserId AND p.Id = ph.PostId AND p.Id = v.PostId AND p.Id = pl.PostId | stats |
With year_total As ( Select 's' As sale_type, c_preferred_cust_flag As customer_preferred_cust_flag, c_birth_country As customer_birth_country, 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, c_last_name As customer_last_name, d_year As dyear, c_email_address As customer_email_address, c_login As customer_login, c_first_name As customer_first_name 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 2000 And 2000 + 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 = 2000 And t_s_secyear.dyear = 2000 + 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; | 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 an.person_id = n.id AND k.keyword = 'character-name-in-title' AND cn.country_code = '[us]' AND t.id = mk.movie_id AND ci.movie_id = t.id AND an.person_id = ci.person_id AND t.episode_nr < 100 AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id AND t.episode_nr >= 50 AND mc.company_id = cn.id AND mk.keyword_id = k.id AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND n.id = ci.person_id | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND t.id = ci.movie_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 AND n.name LIKE '%Downey%Robert%' | job |
select i_item_id, avg(cs_quantity) as agg1, avg(cs_list_price) as agg2, avg(cs_coupon_amt) as agg3, avg(cs_sales_price) as agg4 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 (p_channel_email = 'N' or p_channel_event = 'N') AND cd_marital_status = 'S' AND cd_education_status = 'Advanced Degree' AND cd_gender = 'F' AND d_year = 1999 group by i_item_id order by i_item_id limit 100; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE it.info = 'bottom 10 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi.info_type_id AND mc.movie_id = mi.movie_id | job |
SELECT i_item_id, AVG(ss_quantity) AS agg1, AVG(ss_list_price) AS agg2, AVG(ss_sales_price) AS agg4, AVG(ss_coupon_amt) AS agg3 FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE d_year = 2002 AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'M' AND cd_marital_status = 'D' AND cd_education_status = '4 yr Degree' GROUP BY i_item_id ORDER BY i_item_id 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 an.person_id = n.id AND cn.country_code = '[us]' AND n.id = ci.person_id AND ci.person_id = an.person_id AND cn.id = mc.company_id AND mi.movie_id = ci.movie_id AND t.id = ci.movie_id AND rt.role = 'actress' AND t.id = mc.movie_id AND it.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND n.gender = 'f' AND it.info = 'release dates' AND t.production_year > 2000 AND ci.role_id = rt.id AND mc.note LIKE '%(USA)%' AND chn.id = ci.person_role_id AND ci.movie_id = mc.movie_id AND t.id = mi.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') | job |
SELECT ss_ticket_number, ca_city, c_first_name, bought_city, extended_tax, extended_price, c_last_name, list_price FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE s_city IN ('Clinton', 'Glendale') AND (hd_dep_count = 5 OR hd_vehicle_count = 2) AND d_dow = ANY(ARRAY[6, 0]) AND d_year IN (2001, 2001, 2001) 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 i_item_id, s_store_id, MAX(sr_net_loss) AS store_returns_loss, MAX(ss_net_profit) AS store_sales_profit, MAX(cs_net_profit) AS catalog_sales_profit, s_store_name, i_item_desc FROM store_sales INNER JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number INNER JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk INNER JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk INNER JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk INNER JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk INNER JOIN store ON store_sales.ss_store_sk = store.s_store_sk INNER JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d3.d_moy BETWEEN 5 AND 5 + 3 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d1.d_year = 2002 AND d1.d_moy BETWEEN 5 AND 5 AND d2.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 |
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 an1.person_id = n1.id AND ci.role_id = rt.id AND an1.person_id = ci.person_id AND t.id = mc.movie_id AND n1.name NOT LIKE '%Yu%' AND rt.role = 'actress' AND n1.name LIKE '%Yo%' AND ci.movie_id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND mc.note NOT LIKE '%(USA)%' AND ci.movie_id = t.id AND ci.note = '(voice: English version)' AND mc.company_id = cn.id AND cn.country_code = '[jp]' AND n1.id = ci.person_id | job |
Select Count(1) From comments As c, posts As p, votes As v Where v.VoteTypeId = 2 And c.PostId = p.Id And p.Id = v.PostId And c.Score = 0 Limit 20; | 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 n.id = ci.person_id AND k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2010 AND t.id = ci.movie_id AND t.id = mk.movie_id | job |
SELECT SUM(cs_quantity) AS catalog_sales_quantity, s_store_name, SUM(sr_return_quantity) AS store_returns_quantity, SUM(ss_quantity) AS store_sales_quantity, s_store_id, i_item_id, i_item_desc FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON 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 n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE o_orderdate < DATE 1 + INTERVAL '1' YEAR AND l_suppkey = s_suppkey AND n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND c_nationkey = s_nationkey AND s_nationkey = n_nationkey AND o_orderdate >= DATE 1 AND r_name = 1 AND c_custkey = o_custkey GROUP BY n_name ORDER BY revenue DESC LIMIT 200; | 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 = mk.movie_id AND k.keyword Like '%sequel%' AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German']) AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND t.production_year > 2010 AND k.id = mk.keyword_id | job |
SELECT COUNT(*) FROM comments AS c, postHistory AS ph, votes AS v, users AS u WHERE u.Id = v.UserId AND u.UpVotes <= 123 AND ph.UserId = c.UserId AND u.Views >= 0 AND v.UserId = ph.UserId AND u.DownVotes >= 0 LIMIT 500; | stats |
SELECT i_item_desc, s_store_name, i_item_id, MIN(ss_net_profit) AS store_sales_profit, MIN(cs_net_profit) AS catalog_sales_profit, s_store_id, MIN(sr_net_loss) AS store_returns_loss 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 5 AND 5 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 5 AND 5 + 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 MAX(cn.name) AS from_company, MAX(lt.link) AS link_type, MAX(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE t.id = mk.movie_id AND k.id = mk.keyword_id AND it.info = 'release dates' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND it.id = mi.info_type_id AND ml.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ml.movie_id = mi.movie_id AND lt.link LIKE '%follow%' AND t.id = mc.movie_id AND lt.id = ml.link_type_id AND t.production_year > 1950 AND mi.info LIKE 'USA:% 199%' AND mi.note LIKE '%internet%' AND mi.movie_id = t.id AND cn.country_code = '[us]' AND ml.movie_id = mk.movie_id AND ct.id = mc.company_type_id AND mk.movie_id = mc.movie_id AND t.id = ml.movie_id AND cn.id = mc.company_id | 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 it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE b.UserId = u.Id AND p.Score <= 40 AND p.Id = v.PostId AND pl.LinkTypeId = 1 AND p.Id = c.PostId AND p.Id = ph.PostId AND p.Id = pl.RelatedPostId AND c.UserId = u.Id | stats |
SELECT STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(ss_quantity) AS store_sales_quantitycount, i_item_desc, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, s_state, AVG(ss_quantity) AS store_sales_quantityave, AVG(sr_return_quantity) AS store_returns_quantityave, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, i_item_id, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, AVG(cs_quantity) AS catalog_sales_quantityave FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '1999Q2' AND d2.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') AND d3.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_type NOT LIKE 1 AND p_brand != 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_partkey = ps_partkey GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size LIMIT 500; | tpch |
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 it2.id = mi.info_type_id AND it.id = miidx.info_type_id AND cn.country_code = '[de]' AND miidx.movie_id = mc.movie_id AND ct.kind = 'production companies' AND it2.info = 'release dates' AND mi.movie_id = mc.movie_id AND mc.movie_id = t.id AND it.info = 'rating' AND cn.id = mc.company_id AND mi.movie_id = t.id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND kt.kind = 'movie' AND kt.id = t.kind_id AND mi.movie_id = miidx.movie_id LIMIT 100; | job |
SELECT c_address, c_name, c_custkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue, n_name, c_phone, c_acctbal, c_comment 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 ASC LIMIT 20 | tpch |
SELECT i_item_id, MIN(cs_net_profit) AS catalog_sales_profit, s_store_id, s_store_name, i_item_desc, MIN(ss_net_profit) AS store_sales_profit, MIN(sr_net_loss) AS store_returns_loss 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 5 AND 5 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 5 AND 5 + 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 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 rt.role = 'actress' AND n1.id = ci.person_id AND ci.role_id = rt.id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND mc.note LIKE '%(Japan)%' AND n1.name LIKE '%Yo%' AND an1.person_id = n1.id AND ci.movie_id = t.id AND cn.country_code = '[jp]' AND ci.note = '(voice: English version)' AND n1.name NOT LIKE '%Yu%' AND an1.person_id = ci.person_id AND mc.note NOT LIKE '%(USA)%' AND t.id = mc.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 t.production_year BETWEEN 1980 AND 1995 AND pi.person_id = an.person_id AND n.id = pi.person_id AND t.id = ci.movie_id AND an.person_id = ci.person_id AND it.id = pi.info_type_id AND pi.person_id = ci.person_id AND lt.link = 'features' AND ci.person_id = n.id AND it.info = 'mini biography' AND ci.movie_id = ml.linked_movie_id AND an.name LIKE '%a%' AND n.id = an.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND lt.id = ml.link_type_id AND pi.note = 'Volker Boehm' AND ml.linked_movie_id = t.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 n.id = ci.person_id AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND t.id = mk.movie_id AND mk.keyword_id = k.id AND an.person_id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mk.movie_id AND k.keyword = 'character-name-in-title' AND mc.company_id = cn.id AND t.episode_nr >= 50 AND mc.movie_id = mk.movie_id AND t.episode_nr < 100 AND an.person_id = n.id | job |
select i_item_id, i_current_price, i_item_desc from item join inventory on i_item_sk = inv_item_sk join date_dim on d_date_sk = inv_date_sk join catalog_sales on cs_item_sk = i_item_sk where i_manufact_id in (27, 394, 425, 158) AND d_date BETWEEN CAST('2000-05-01' as DATE) AND (CAST('2000-05-01' as DATE) + INTERVAL '60 days') AND i_current_price BETWEEN 75 AND 75 + 30 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; | 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 = mc.movie_id AND kt.kind = 'movie' AND miidx.movie_id = t.id AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND kt.id = t.kind_id AND ct.kind = 'production companies' AND it2.info = 'release dates' AND mi.movie_id = miidx.movie_id AND it.info = 'rating' AND it2.id = mi.info_type_id AND cn.country_code = '[de]' AND mi.movie_id = t.id AND it.id = miidx.info_type_id AND ct.id = mc.company_type_id AND mc.movie_id = t.id | job |
SELECT AVG(cs_quantity) AS catalog_sales_quantityave, AVG(ss_quantity) AS store_sales_quantityave, i_item_id, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, i_item_desc, s_state, AVG(sr_return_quantity) AS store_returns_quantityave, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(ss_quantity) AS store_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 = '1999Q1' AND d2.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') AND d3.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state; | tpcds |
select count(*) from posts as p, postLinks as pl, users as u where u.CreationDate <= '2014-09-12 07:12:16'::timestamp and p.Id = pl.PostId and p.OwnerUserId = u.Id and p.CommentCount <= 17 LIMIT 500; | stats |
select n_name, sum(l_extendedprice * (1 - l_discount)) as revenue from customer, orders, lineitem, supplier, nation, region where n_regionkey = r_regionkey AND c_nationkey = s_nationkey AND s_nationkey = n_nationkey AND c_custkey = o_custkey AND o_orderdate >= DATE 1 AND l_orderkey = o_orderkey AND l_suppkey = s_suppkey AND r_name = 1 AND o_orderdate < DATE 1 + INTERVAL '1' YEAR group by n_name order by revenue 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 t.production_year > 1990 and ci.note like '%(voice: English version)%' and k.id = mk.keyword_id and mk.movie_id = ci.movie_id and mc.note not like '%(USA)%' and rt.role = 'actress' and ci.movie_id = mc.movie_id and t.id = mc.movie_id and n.gender = 'f' and cn.id = mc.company_id and ci.role_id = rt.id and cn.country_code = '[jp]' and mc.note like '%(Japan)%' and ct.id = mc.company_type_id and an.person_id = n.id and n.id = ci.person_id and k.keyword = 'anime' and t.id = mk.movie_id and mk.movie_id = mc.movie_id and ci.person_id = an.person_id and t.id = ci.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 t.id = mi.movie_id and t.production_year > 2000 and mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German']) and k.keyword like '%sequel%' and k.id = mk.keyword_id and t.id = mk.movie_id and mk.movie_id = mi.movie_id | job |
WITH year_total AS ( SELECT 's' AS sale_type, c_customer_id AS customer_id, c_email_address AS customer_email_address, c_first_name AS customer_first_name, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_preferred_cust_flag AS customer_preferred_cust_flag, c_last_name AS customer_last_name, c_login AS customer_login, c_birth_country AS customer_birth_country, d_year AS dyear 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(cs_sales_price) AS agg4, AVG(cs_quantity) AS agg1, AVG(cs_list_price) AS agg2, AVG(cs_coupon_amt) AS agg3, i_item_id 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 (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_marital_status = 'S' AND cd_gender = 'F' AND cd_education_status = 'Advanced Degree' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT p_type, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_brand, p_size FROM partsupp, part WHERE ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_type NOT LIKE 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_partkey = ps_partkey AND p_brand <> 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size LIMIT 1000; | tpch |
SELECT c_salutation, c_preferred_cust_flag, c_first_name, c_last_name, ss_ticket_number, cnt 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 (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND d_dom >= 1 AND d_dom <= 2 AND d_year IN (1999, 2000, 2003) AND s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') AND hd_vehicle_count > 0 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 MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.id = mk.keyword_id AND t.production_year > 2000 AND t.id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.keyword LIKE '%sequel%' AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id LIMIT 100; | job |
SELECT c_comment, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_phone, c_address, n_name, c_acctbal, c_custkey, 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 count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v where p.FavoriteCount >= 0 and p.Id = c.PostId and p.Id = v.PostId and p.Id = pl.PostId and pl.LinkTypeId = 1 and c.Score = 0 and p.Id = ph.PostId | stats |
SELECT MAX(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = t.id AND k.keyword ='character-name-in-title' AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND cn.id = mc.company_id AND cn.country_code ='[sm]' AND t.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 ci.movie_id = mc.movie_id AND n.id = ci.person_id AND cn.country_code = '[us]' AND an.person_id = n.id AND ci.movie_id = mk.movie_id AND mc.company_id = cn.id AND mc.movie_id = mk.movie_id AND t.episode_nr >= 50 AND k.keyword = 'character-name-in-title' AND t.episode_nr < 100 AND mk.keyword_id = k.id AND an.person_id = ci.person_id AND t.id = mk.movie_id AND ci.movie_id = t.id AND t.id = mc.movie_id | job |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE t.id = mc.movie_id AND cn.country_code = '[ru]' AND rt.role = 'actor' AND t.id = ci.movie_id AND cn.id = mc.company_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND ci.movie_id = mc.movie_id AND t.production_year > 2005 AND ct.id = mc.company_type_id AND ci.note LIKE '%(voice)%' AND ci.note LIKE '%(uncredited)%' | job |
with _q as ( 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.info ='rating' and mi_idx.info > '7.0' and it.id = mi_idx.info_type_id and t.production_year between 2000 and 2010 and t.id = mi_idx.movie_id ) select * from _q; | 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 n.id = ci.person_id AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND t.id = ci.movie_id AND t.production_year > 2010 AND t.id = mk.movie_id | job |
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 s_suppkey = l_suppkey AND o_orderkey = l_orderkey AND c_custkey = o_custkey AND s_nationkey = n1.n_nationkey AND 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 l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year LIMIT 500; | tpch |
select s_suppkey, s_address, total_revenue, s_phone, s_name from supplier, revenue0 where s_suppkey = supplier_no and total_revenue = ( select max(total_revenue) from revenue0 ) order by s_suppkey limit 10; | 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 o_orderkey = l_orderkey AND l_shipdate < l_commitdate AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode In (1, 1) Group By l_shipmode Order By l_shipmode | tpch |
WITH year_total AS ( SELECT c_last_name AS customer_last_name, c_first_name AS customer_first_name, 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_email_address AS customer_email_address, c_customer_id AS customer_id, c_birth_country AS customer_birth_country, 's' AS sale_type, c_preferred_cust_flag AS customer_preferred_cust_flag, d_year AS dyear 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(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 it.info = 'release dates' AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND cn.country_code = '[us]' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND n.gender = 'f' AND ci.person_id = an.person_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND t.id = mi.movie_id AND t.id = mc.movie_id AND rt.role = 'actress' AND n.id = ci.person_id AND ci.role_id = rt.id AND t.production_year > 2000 AND an.person_id = n.id AND it.id = mi.info_type_id AND cn.id = mc.company_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 ps_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND s_nationkey = n_nationkey AND s_suppkey = l_suppkey AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey AND p_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
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 mi.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND it.id = miidx.info_type_id AND kt.kind = 'movie' AND mi.movie_id = t.id AND miidx.movie_id = mc.movie_id AND cn.id = mc.company_id AND ct.kind = 'production companies' AND cn.country_code = '[de]' AND mi.movie_id = miidx.movie_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND it.info = 'rating' AND it2.id = mi.info_type_id AND it2.info = 'release dates' | 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 chn.id = ci.person_role_id AND t.production_year > 2005 AND t.id = mc.movie_id AND ci.note LIKE '%(voice)%' AND cn.id = mc.company_id AND t.id = ci.movie_id AND ci.note LIKE '%(uncredited)%' AND rt.role = 'actor' AND ct.id = mc.company_type_id AND ci.movie_id = mc.movie_id AND rt.id = ci.role_id | job |
Select Min(t.title) As biography_movie, Min(n.name) As of_person From aka_name As an, cast_info As ci, info_type As it, link_type As lt, movie_link As ml, name As n, person_info As pi, title As t Where n.id = an.person_id And t.production_year Between 1980 And 1995 And ml.linked_movie_id = t.id And it.info = 'mini biography' And lt.link = 'features' And t.id = ci.movie_id And ci.movie_id = ml.linked_movie_id And pi.person_id = an.person_id And an.name Like '%a%' And n.name_pcode_cf Between 'A' And 'F' And an.person_id = ci.person_id And pi.note = 'Volker Boehm' And pi.person_id = ci.person_id And it.id = pi.info_type_id And (n.gender = 'm' Or (n.gender = 'f' And n.name Like 'B%')) And ci.person_id = n.id And lt.id = ml.link_type_id And n.id = pi.person_id | job |
with customer_total_return as ( select sr_store_sk as ctr_store_sk, sum(sr_return_amt) as ctr_total_return, sr_customer_sk as ctr_customer_sk from store_returns inner join date_dim on sr_returned_date_sk = d_date_sk where d_year = 1998 group by sr_customer_sk, sr_store_sk ) select c_customer_id from customer_total_return as ctr1 inner join store on s_store_sk = ctr1.ctr_store_sk inner join customer on c_customer_sk = ctr1.ctr_customer_sk where ctr1.ctr_total_return > ( select avg(ctr_total_return) * 1.2 from customer_total_return as ctr2 where ctr1.ctr_store_sk = ctr2.ctr_store_sk ) and s_state = 'TX' order by c_customer_id; | tpcds |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mi.movie_id AND t.id = mk.movie_id AND t.production_year > 2005 AND mk.movie_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') LIMIT 50; | job |
Select p_brand, p_type, p_size, Count(Distinct ps_suppkey) As supplier_cnt From partsupp, part Where p_size In (1, 1, 1, 1, 1, 1, 1, 1) AND ps_suppkey Not In ( Select s_suppkey From supplier Where s_comment Like '%Customer%Complaints%' ) AND p_type Not Like 1 AND p_partkey = ps_partkey AND p_brand <> 1 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 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 mi.movie_id = mc.movie_id AND t.production_year > 2000 AND t.id = ci.movie_id AND chn.id = ci.person_role_id AND t.id = mi.movie_id AND mc.note LIKE '%(USA)%' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND it.info = 'release dates' AND rt.role = 'actress' AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND mi.movie_id = ci.movie_id AND t.id = mc.movie_id AND ci.role_id = rt.id AND cn.id = mc.company_id AND ci.person_id = an.person_id AND n.gender = 'f' AND n.id = ci.person_id AND it.id = mi.info_type_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 mi.movie_id = ci.movie_id AND mi.movie_id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND t.id = ci.movie_id AND ci.person_id = an.person_id AND t.id = mc.movie_id AND it.info = 'release dates' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND cn.id = mc.company_id AND ci.role_id = rt.id AND it.id = mi.info_type_id AND cn.country_code = '[us]' AND t.id = mi.movie_id AND n.gender = 'f' AND rt.role = 'actress' AND t.production_year > 2000 AND chn.id = ci.person_role_id AND an.person_id = n.id AND n.id = ci.person_id | job |
Select Min(t.title) As movie_title From company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, title As t Where mc.movie_id = t.id And mk.keyword_id = k.id And mc.movie_id = mk.movie_id And cn.country_code ='[nl]' And cn.id = mc.company_id And k.keyword ='character-name-In-title' And t.id = mk.movie_id | job |
Select Min(t.title) As american_movie From company_type As ct, info_type As it, movie_companies As mc, movie_info As mi, title As t Where (mc.note Like '%(co-production)%' Or mc.note Like '%(presents)%') AND mc.note Not Like '%(As Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi.movie_id AND t.id = mi.movie_id AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND it.id = mi.info_type_id AND t.id = mc.movie_id AND it.info = 'bottom 10 rank' | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND k.keyword LIKE '%sequel%' AND t.production_year > 2010 AND t.id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id LIMIT 1000; | 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.person_id = an.person_id AND mk.movie_id = ci.movie_id AND cn.country_code = '[jp]' AND mc.note LIKE '%(Japan)%' AND n.gender = 'f' AND t.id = mk.movie_id AND t.production_year > 1990 AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND an.person_id = n.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND ci.role_id = rt.id AND cn.id = mc.company_id AND mc.note NOT LIKE '%(USA)%' AND rt.role = 'actress' AND ci.note LIKE '%(voice: English version)%' AND ci.movie_id = mc.movie_id AND k.keyword = 'anime' AND k.id = mk.keyword_id AND t.id = ci.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_commitdate < l_receiptdate AND l_shipdate < l_commitdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) AND l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT MIN(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 = at.movie_id AND cn.country_code = '[us]' AND cn.id = mc.company_id AND t.production_year > 2000 AND mi.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND at.movie_id = mc.movie_id AND kt.kind = 'movie' AND t.id = mc.movie_id AND kt.id = t.kind_id AND it2.info = 'release dates' AND mi_idx.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND at.movie_id = mi.movie_id AND it2.id = mi.info_type_id AND mi.info LIKE 'USA:%200%' AND it1.id = mi_idx.info_type_id AND at.title LIKE '%Champion%' AND it1.info = 'rating' AND t.id = mi.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.info < '3.5' | job |
SELECT MIN(mi_idx.info) AS rating, MIN(cn.name) AS movie_company, 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 mk.movie_id = mc.movie_id AND t.id = mk.movie_id AND mc.note LIKE '%(200%)%' AND kt.kind IN ('movie', 'episode') AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND t.id = mc.movie_id AND mk.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mi.movie_id = mc.movie_id AND it1.info = 'countries' AND kt.id = t.kind_id AND cn.id = mc.company_id AND mi.movie_id = mi_idx.movie_id AND it1.id = mi.info_type_id AND mi_idx.info < '7.0' AND t.production_year > 2008 AND mc.movie_id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND it2.info = 'rating' AND t.id = mi.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.id = mi_idx.movie_id AND cn.country_code != '[us]' | job |
SELECT AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ca_state IN ('TX', 'WA', 'FL') AND ca_country = 'United States' AND ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price >= 89 AND ss_sales_price <= 113) OR (cd_marital_status = 'M' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 53 AND 128) OR (cd_marital_status = 'D' AND cd_education_status = 'Advanced Degree' AND ss_sales_price BETWEEN 110 AND 166) ) AND ( (hd_dep_count = 1 AND hd_vehicle_count <= 4) OR (hd_dep_count = 3 AND hd_vehicle_count <= 4) OR (hd_dep_count = 6 AND hd_vehicle_count <= 3) ) AND s_market_id = 8 AND d_year = 2002 | tpcds |
SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_brand <> 1 AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_partkey = ps_partkey AND p_type NOT LIKE 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size LIMIT 50; | tpch |
Select Sum(l_extendedprice * l_discount) As revenue From lineitem Where l_shipdate >= DATE 1 And l_shipdate < DATE 1 + INTERVAL '1' YEAR And l_discount Between 1 - 0.01 And 1 + 0.01 And l_quantity < 1 LIMIT 1000; | tpch |
SELECT o_shippriority, l_orderkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate FROM customer, orders, lineitem WHERE l_orderkey = o_orderkey AND o_orderdate < DATE 1 AND c_mktsegment = 1 AND l_shipdate > DATE 1 AND c_custkey = o_custkey GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | tpch |
select c_name, o_orderkey, c_custkey, o_orderdate, o_totalprice, sum(l_quantity) 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 s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND 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_size = 1 AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND p_type LIKE 1 AND r_name = 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
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 d_year = 1999 AND cd_education_status = 'Advanced Degree' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'F' AND cd_marital_status = 'S' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE it.id = mi.info_type_id AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi.movie_id AND t.id = mc.movie_id AND ct.kind = 'production companies' AND t.id = mi.movie_id AND it.info = 'bottom 10 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
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