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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.id = mk.movie_id AND t.id = mi.movie_id AND t.production_year > 2000 AND k.keyword Like '%sequel%' AND mk.movie_id = mi.movie_id AND mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') | job |
SELECT ps_partkey, SUM(ps_supplycost * ps_availqty) AS VALUE FROM partsupp, supplier, nation WHERE ps_suppkey = s_suppkey AND s_nationkey = n_nationkey AND n_name = 1 GROUP BY ps_partkey HAVING SUM(ps_supplycost * ps_availqty) > ( SELECT SUM(ps_supplycost * ps_availqty) * 1 FROM partsupp, supplier, nation WHERE ps_suppkey = s_suppkey AND s_nationkey = n_nationkey AND n_name = 1 ) ORDER BY VALUE ASC LIMIT 1000; | tpch |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count, 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 l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) AND o_orderkey = l_orderkey AND l_shipdate < l_commitdate AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, l_orderkey, o_shippriority FROM customer, orders, lineitem WHERE c_mktsegment = 1 AND l_shipdate > DATE 1 AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | tpch |
SELECT MIN(t.title) AS western_sequel, MIN(lt.link) AS link_type, MIN(cn.name) AS from_company 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 mi.movie_id = t.id AND t.id = mc.movie_id AND t.production_year > 1950 AND t.id = mk.movie_id AND ml.movie_id = mi.movie_id AND it.id = mi.info_type_id AND it.info = 'release dates' AND mi.info LIKE 'USA:% 199%' AND mc.note LIKE '%(USA)%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mi.note LIKE '%internet%' AND lt.link LIKE '%follow%' AND mk.movie_id = mc.movie_id AND cn.id = mc.company_id AND ml.movie_id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ml.movie_id = mk.movie_id AND ct.id = mc.company_type_id AND k.id = mk.keyword_id AND lt.id = ml.link_type_id AND t.id = ml.movie_id AND cn.country_code = '[us]' | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.movie_id = mi_idx.movie_id AND t.id = mc.movie_id 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 mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id | job |
with year_total as ( select 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_email_address as customer_email_address, c_preferred_cust_flag as customer_preferred_cust_flag, 's' as sale_type, c_birth_country as customer_birth_country, c_last_name as customer_last_name, c_login as customer_login, c_first_name as customer_first_name, c_customer_id as customer_id from customer join store_sales on c_customer_sk = ss_customer_sk join date_dim on ss_sold_date_sk = d_date_sk where d_year between 2002 and 2002 + 1 group by c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) select t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address from year_total as t_s_firstyear join year_total as t_s_secyear on t_s_firstyear.customer_id = t_s_secyear.customer_id where t_s_firstyear.sale_type = 's' and t_s_secyear.sale_type = 's' and t_s_firstyear.dyear = 2002 and t_s_secyear.dyear = 2002 + 1 and t_s_firstyear.year_total > 0 and case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else NULL end > 1.0 order by t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address limit 100; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE mc.movie_id = mi.movie_id AND it.id = mi.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'bottom 10 rank' AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi.movie_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND o_orderkey = l1.l_orderkey AND n_name = 1 AND s_suppkey = l1.l_suppkey 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 EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND o_orderstatus = 'F' GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | 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 k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND t.id = mi.movie_id AND kt.id = t.kind_id AND t.id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND it1.id = mi.info_type_id AND t.production_year > 2008 AND kt.kind IN ('movie', 'episode') AND t.id = mi_idx.movie_id AND it2.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(USA)%' AND cn.country_code != '[us]' AND t.id = mk.movie_id AND it2.info = 'rating' AND mk.movie_id = mi_idx.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it1.info = 'countries' AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND mc.note LIKE '%(200%)%' AND mc.movie_id = mi_idx.movie_id AND mi_idx.info < '7.0' AND mk.movie_id = mi.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') | job |
SELECT MIN(t.title) AS movie_title, MIN(mi_idx.info) AS rating FROM info_type AS it, movie_info_idx AS mi_idx, title AS t WHERE t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND it.info ='rating' AND mi_idx.info > '8.0' AND t.production_year BETWEEN 2000 AND 2005 LIMIT 200; | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE p.Id = ph.PostId AND p.Id = c.PostId AND b.UserId = u.Id AND p.Id = v.PostId AND p.Id = pl.RelatedPostId AND c.UserId = u.Id AND p.Score <= 40 AND pl.LinkTypeId = 1 | stats |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(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_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND d_year IN (2000, 2002, 2003) AND s_county IN ('Bronz County', 'Daviess County', 'Maricopa County') AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.79 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 ASC LIMIT 100; | tpcds |
select count(*) from comments as c, posts as p, postLinks as pl, votes as v where c.CreationDate >= '2010-08-02 23:52:10'::timestamp and p.Id = c.PostId and p.Score >= -3 and c.PostId = pl.PostId and pl.PostId = v.PostId and v.VoteTypeId = 2 limit 200; | stats |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = t.id AND mk.keyword_id = k.id AND k.keyword ='character-name-IN-title' AND cn.id = mc.company_id AND cn.country_code ='[de]' AND mc.movie_id = mk.movie_id AND t.id = mk.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 rt.role = 'actor' AND rt.id = ci.role_id AND ci.note LIKE '%(voice)%' AND t.id = mc.movie_id AND t.id = ci.movie_id AND ct.id = mc.company_type_id AND t.production_year > 2005 AND chn.id = ci.person_role_id AND ci.movie_id = mc.movie_id AND cn.country_code = '[ru]' AND ci.note LIKE '%(uncredited)%' AND cn.id = mc.company_id | job |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where k.keyword Like '%sequel%' And t.production_year > 2000 And mk.movie_id = mi.movie_id And t.id = mi.movie_id And mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') And k.id = mk.keyword_id And t.id = mk.movie_id | job |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count, 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 l_shipmode IN (1, 1) AND l_shipdate < l_commitdate AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate AND o_orderkey = l_orderkey AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT extended_price, c_first_name, list_price, bought_city, extended_tax, ca_city, c_last_name, ss_ticket_number 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 s_city IN ('Clinton', 'Oak Grove') AND (hd_dep_count = 5 OR hd_vehicle_count = 0) AND d_year IN (1999, 2002, 2003) 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 s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE n_name = 1 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 ) AND s_suppkey = l1.l_suppkey AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND o_orderstatus = 'F' AND o_orderkey = l1.l_orderkey AND l1.l_receiptdate > l1.l_commitdate GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, postHistory AS ph, users AS u WHERE u.Reputation >= 1 AND u.Id = c.UserId ) SELECT * FROM _q AND c.UserId = ph.UserId AND u.UpVotes <= 27 | 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 pi.note = 'Volker Boehm' AND ci.person_id = n.id AND ml.linked_movie_id = t.id AND t.production_year BETWEEN 1980 AND 1995 AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND it.info = 'mini biography' AND ci.movie_id = ml.linked_movie_id AND n.id = an.person_id AND t.id = ci.movie_id AND lt.id = ml.link_type_id AND lt.link = 'features' AND n.id = pi.person_id AND it.id = pi.info_type_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.name LIKE '%a%' AND an.person_id = ci.person_id | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND ct.id = mc.company_type_id AND it.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id AND it.info = 'top 250 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
Select Min(cn.name) As movie_company, Min(mi_idx.info) As rating, Min(t.title) As western_violent_movie From company_name As cn, company_type As ct, info_type As it1, info_type As it2, keyword As k, kind_type As kt, movie_companies As mc, movie_info As mi, movie_info_idx As mi_idx, movie_keyword As mk, title As t Where it1.id = mi.info_type_id AND mi.info In ('Germany', 'German', 'USA', 'American') AND it2.id = mi_idx.info_type_id AND cn.id = mc.company_id AND mc.note Not Like '%(USA)%' AND mk.movie_id = mi_idx.movie_id AND it1.info = 'countries' AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND mk.movie_id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND mi_idx.info < '7.0' AND cn.country_code != '[us]' AND k.keyword In ('murder', 'murder-In-title', 'blood', 'violence') AND mi.movie_id = mc.movie_id AND t.id = mi.movie_id AND mc.note Like '%(200%)%' AND t.production_year > 2008 AND kt.kind In ('movie', 'episode') AND it2.info = 'rating' AND t.id = mi_idx.movie_id AND kt.id = t.kind_id AND k.id = mk.keyword_id AND t.id = mk.movie_id | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE it1.info = 'rating' AND at.movie_id = mi.movie_id AND it1.id = mi_idx.info_type_id AND t.id = mc.movie_id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND t.id = mi_idx.movie_id AND it2.info = 'release dates' AND mi_idx.movie_id = mc.movie_id AND mi.info LIKE 'USA:%200%' AND t.production_year > 2000 AND t.id = mi.movie_id AND at.title LIKE '%Champion%' AND mi.movie_id = mi_idx.movie_id AND at.movie_id = mi_idx.movie_id AND cn.country_code = '[us]' AND at.movie_id = mc.movie_id AND t.id = at.movie_id AND cn.id = mc.company_id AND kt.kind = 'movie' AND mi.movie_id = mc.movie_id AND mi_idx.info < '3.5' | job |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN promotion ON ss_promo_sk = p_promo_sk INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN customer ON ss_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = ca_address_sk INNER JOIN item ON ss_item_sk = i_item_sk WHERE s_gmt_offset = -7 AND s_gmt_offset = -7 AND i_category = 'Electronics' AND d_year = 1998 AND ca_gmt_offset = -7 AND i_category = 'Electronics' AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_moy = 9 ) AS all_sales AND d_moy = 9 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN customer ON ss_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = ca_address_sk INNER JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -7 AND d_year = 1998 ORDER BY promotions, total LIMIT 100; | tpcds |
Select Min(an.name) As acress_pseudonym, Min(t.title) As japanese_anime_movie From aka_name As an, cast_info As ci, company_name As cn, company_type As ct, keyword As k, movie_companies As mc, movie_keyword As mk, name As n, role_type As rt, title As t Where k.id = mk.keyword_id AND t.id = ci.movie_id AND n.id = ci.person_id AND cn.country_code = '[jp]' AND n.gender = 'f' AND rt.role = 'actress' AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND mc.note Like '%(Japan)%' AND t.id = mc.movie_id AND an.person_id = n.id AND t.production_year > 1990 AND ci.person_id = an.person_id AND ci.movie_id = mc.movie_id AND ci.note Like '%(voice: English version)%' AND mk.movie_id = mc.movie_id AND t.id = mk.movie_id AND k.keyword = 'anime' AND mk.movie_id = ci.movie_id AND ci.role_id = rt.id AND mc.note Not Like '%(USA)%' | job |
SELECT MIN(t.title) AS movie_title, MIN(mc.note) AS production_note, 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 t.id = mc.movie_id AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.id = mk.keyword_id AND n.id = ci.person_id AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND t.production_year > 2010 AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' | 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.country_code ='[sm]' AND mc.movie_id = mk.movie_id AND k.keyword ='character-name-in-title' AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = t.id AND cn.id = mc.company_id | job |
SELECT c_custkey, o_orderkey, SUM(l_quantity), o_totalprice, o_orderdate, 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 min(mi_idx.info) as rating, min(t.title) as northamerican_movie from aka_title as at, company_name as cn, info_type as it1, info_type as it2, kind_type as kt, movie_companies as mc, movie_info as mi, movie_info_idx as mi_idx, title as t where kt.id = t.kind_id AND it1.id = mi_idx.info_type_id AND mi_idx.info < '3.5' AND it2.info = 'release dates' AND cn.id = mc.company_id AND t.id = at.movie_id AND mi_idx.movie_id = mc.movie_id AND at.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND cn.country_code = '[us]' AND at.title like '%Champion%' AND mi.info like 'USA:%200%' AND kt.kind = 'movie' AND t.id = mi.movie_id AND t.production_year > 2000 AND at.movie_id = mi.movie_id AND it1.info = 'rating' AND t.id = mc.movie_id AND it2.id = mi.info_type_id AND t.id = mi_idx.movie_id | job |
select avg(cs_coupon_amt) as agg3, i_item_id, avg(cs_quantity) as agg1, avg(cs_list_price) as agg2, 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 cd_education_status = '2 yr Degree' and (p_channel_email = 'N' or p_channel_event = 'N') and cd_marital_status = 'S' and d_year = 1999 and cd_gender = 'M' group by i_item_id order by i_item_id limit 100; | tpcds |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.keyword LIKE '%sequel%' AND t.production_year > 2010 AND k.id = mk.keyword_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 cn.country_code ='[de]' AND mc.movie_id = t.id AND k.keyword ='character-name-in-title' AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND mk.keyword_id = k.id | job |
Select Sum(sr_return_quantity) As store_returns_quantity, i_item_desc, s_store_id, i_item_id, Sum(cs_quantity) As catalog_sales_quantity, s_store_name, Sum(ss_quantity) As store_sales_quantity From store_sales Join store_returns On ss_customer_sk = sr_customer_sk And ss_item_sk = sr_item_sk And ss_ticket_number = sr_ticket_number Join catalog_sales On sr_customer_sk = cs_bill_customer_sk And sr_item_sk = cs_item_sk Join date_dim As d1 On ss_sold_date_sk = d1.d_date_sk Join date_dim As d2 On sr_returned_date_sk = d2.d_date_sk Join date_dim As d3 On cs_sold_date_sk = d3.d_date_sk Join store On ss_store_sk = s_store_sk Join item On ss_item_sk = i_item_sk Where d1.d_moy = 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 SUM(l_quantity) AS sum_qty, l_linestatus, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_discount) AS avg_disc, l_returnflag, AVG(l_quantity) AS avg_qty, AVG(l_extendedprice) AS avg_price, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_extendedprice) AS sum_base_price FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
Select Count(1) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v, badges As b Where p.Id = c.PostId And b.UserId = c.UserId And p.Id = v.PostId And p.Id = ph.PostId And pl.LinkTypeId = 1 And p.Id = pl.RelatedPostId And c.Score = 0 | 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 t.id = mc.movie_id AND cn.country_code = '[ru]' AND cn.id = mc.company_id AND ci.note LIKE '%(uncredited)%' AND rt.role = 'actor' AND chn.id = ci.person_role_id AND ci.note LIKE '%(voice)%' AND t.production_year > 2005 AND ct.id = mc.company_type_id AND rt.id = ci.role_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id LIMIT 200; | job |
SELECT cc_manager AS manager, cc_name AS call_center_name, cc_call_center_id AS call_center, SUM(cr_net_loss) AS returns_loss 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 ca_gmt_offset = -5 AND d_year = 2001 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 d_moy = 12 GROUP BY cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status ORDER BY returns_loss ASC 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 n1.name NOT LIKE '%Yu%' AND an1.person_id = ci.person_id AND mc.company_id = cn.id AND an1.person_id = n1.id AND mc.note NOT LIKE '%(USA)%' AND n1.name LIKE '%Yo%' AND rt.role = 'actress' AND cn.country_code = '[jp]' AND ci.role_id = rt.id AND ci.movie_id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND ci.movie_id = t.id AND n1.id = ci.person_id AND ci.note = '(voice: English version)' 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 ci.person_id = n.id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND n.id = an.person_id AND lt.id = ml.link_type_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id AND pi.note = 'Volker Boehm' AND pi.person_id = ci.person_id AND ml.linked_movie_id = t.id AND pi.person_id = an.person_id AND an.name LIKE '%a%' AND n.id = pi.person_id AND it.id = pi.info_type_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND t.production_year BETWEEN 1980 AND 1995 AND it.info = 'mini biography' AND lt.link = 'features' AND t.id = ci.movie_id | 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 AND l_suppkey = s_suppkey AND s_nationkey = n_nationkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND c_custkey = o_custkey AND c_nationkey = s_nationkey AND l_orderkey = o_orderkey AND n_regionkey = r_regionkey 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 p_partkey = l_partkey AND o_custkey = c_custkey AND r_name = 1 AND l_orderkey = o_orderkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_type = 1 ) As all_nations AND s_suppkey = l_suppkey AND c_nationkey = n1.n_nationkey AND n1.n_regionkey = r_regionkey AND s_nationkey = n2.n_nationkey Group By o_year Order By o_year | 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 k.id = mk.keyword_id AND k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 AND n.name LIKE '%Hemsworth%Chris%' AND t.id = mk.movie_id AND t.id = ci.movie_id AND n.id = ci.person_id AND ci.movie_id = mk.movie_id | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' AND ct.kind = 'production companies' AND it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi_idx.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 t.id = mk.movie_id AND t.id = mi.movie_id AND k.id = mk.keyword_id AND t.production_year > 2005 AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German']) AND mk.movie_id = mi.movie_id AND k.keyword LIKE '%sequel%' | 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 p_size = 1 AND p_partkey = ps_partkey AND p_type LIKE 1 AND s_nationkey = n_nationkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND s_suppkey = ps_suppkey 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 ml.movie_id = mk.movie_id AND t.production_year > 1950 AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND ml.movie_id = mc.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND k.id = mk.keyword_id AND cn.country_code = '[us]' AND mi.note LIKE '%internet%' AND mi.info LIKE 'USA:% 199%' AND mk.movie_id = mc.movie_id AND t.id = ml.movie_id AND lt.id = ml.link_type_id AND it.info = 'release dates' AND t.id = mk.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND cn.id = mc.company_id AND mi.movie_id = t.id AND ml.movie_id = mi.movie_id AND lt.link LIKE '%follow%' AND it.id = mi.info_type_id AND mc.note LIKE '%(USA)%' | 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 = ci.movie_id AND ci.note LIKE '%(voice)%' AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND ci.movie_id = mc.movie_id AND ci.note LIKE '%(uncredited)%' AND t.id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND t.production_year > 2005 AND rt.role = 'actor' | 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 p_type NOT LIKE 1 AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_brand <> 1 AND p_partkey = ps_partkey GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size LIMIT 10; | tpch |
WITH year_total AS ( SELECT c_login AS customer_login, c_customer_id AS customer_id, 's' AS sale_type, c_last_name AS customer_last_name, c_email_address AS customer_email_address, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_first_name AS customer_first_name, d_year AS dyear, c_birth_country AS customer_birth_country, 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 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_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_brand <> 1 AND p_type NOT LIKE 1 AND p_partkey = ps_partkey GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt ASC, p_brand, p_type, p_size | tpch |
SELECT MIN(t.title) AS western_sequel, MIN(cn.name) AS from_company, MIN(lt.link) AS link_type 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.id = mi.info_type_id AND ml.movie_id = mi.movie_id AND t.id = mc.movie_id AND cn.country_code = '[us]' AND mi.info LIKE 'USA:% 199%' AND t.id = mk.movie_id AND mc.note LIKE '%(USA)%' AND mk.movie_id = mc.movie_id AND t.id = ml.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND lt.link LIKE '%follow%' AND k.id = mk.keyword_id AND lt.id = ml.link_type_id AND ml.movie_id = mc.movie_id AND t.production_year > 1950 AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ml.movie_id = mk.movie_id AND ct.id = mc.company_type_id AND mi.movie_id = t.id AND cn.id = mc.company_id AND mi.note LIKE '%internet%' AND it.info = 'release dates' | job |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE ct.id = mc.company_type_id AND t.id = mk.movie_id AND mc.movie_id = mi_idx.movie_id AND cn.country_code != '[us]' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND it2.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(USA)%' AND t.production_year > 2008 AND it2.info = 'rating' AND it1.info = 'countries' AND kt.id = t.kind_id AND t.id = mc.movie_id AND it1.id = mi.info_type_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mc.note LIKE '%(200%)%' AND t.id = mi.movie_id AND k.id = mk.keyword_id AND kt.kind IN ('movie', 'episode') AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND mi_idx.info < '7.0' | job |
select c_first_name, c_last_name, ss_ticket_number, c_preferred_cust_flag, cnt, c_salutation from ( select ss_ticket_number, ss_customer_sk, count(*) as cnt from store_sales join date_dim on ss_sold_date_sk = d_date_sk join store on ss_store_sk = s_store_sk join household_demographics on ss_hdemo_sk = hd_demo_sk where d_dom between 1 and 2 and (hd_buy_potential = '1001-5000' or hd_buy_potential = '5001-10000') and hd_vehicle_count > 0 and d_year in (2001, 2000, 2003) and s_county in ('Franklin County', 'Jefferson County', 'Oglethorpe County', 'Maricopa County') group by ss_ticket_number, ss_customer_sk ) as dj join customer on ss_customer_sk = c_customer_sk where cnt between 1 and 5 order by cnt desc limit 1000; | tpcds |
select i_item_id, i_item_desc, i_current_price from item join inventory on i_item_sk = inv_item_sk join date_dim on d_date_sk = inv_date_sk join catalog_sales on cs_item_sk = i_item_sk where d_date BETWEEN CAST('2002-01-23' as DATE) AND (CAST('2002-01-23' as DATE) + INTERVAL '60 days') AND i_manufact_id in (325, 323, 405, 311) AND i_current_price BETWEEN 83 AND 83 + 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; | tpcds |
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_suppkey = l_suppkey AND ps_suppkey = l_suppkey AND 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 GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE mc.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 mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND it.info = 'bottom 10 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') LIMIT 500; | job |
select i_item_id, i_item_desc, s_store_id, s_store_name, sum(ss_quantity) as store_sales_quantity, sum(sr_return_quantity) as store_returns_quantity, sum(cs_quantity) as catalog_sales_quantity from store_sales join store_returns on ss_customer_sk = sr_customer_sk and ss_item_sk = sr_item_sk and ss_ticket_number = sr_ticket_number join catalog_sales on sr_customer_sk = cs_bill_customer_sk and sr_item_sk = cs_item_sk join date_dim as d1 on ss_sold_date_sk = d1.d_date_sk join date_dim as d2 on sr_returned_date_sk = d2.d_date_sk join date_dim as d3 on cs_sold_date_sk = d3.d_date_sk join store on ss_store_sk = s_store_sk join item on ss_item_sk = i_item_sk where d2.d_year = 2001 and d2.d_moy between 3 and 3 + 3 and d3.d_moy between 3 and 3 + 3 and d1.d_year = 2001 and d1.d_moy = 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 |
WITH year_total AS ( SELECT c_last_name AS customer_last_name, d_year AS dyear, c_customer_id AS customer_id, c_preferred_cust_flag AS customer_preferred_cust_flag, c_birth_country AS customer_birth_country, 's' AS sale_type, c_login AS customer_login, c_first_name AS customer_first_name, c_email_address AS customer_email_address, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total 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(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where t.id = mk.movie_id and t.id = mi.movie_id and k.keyword like '%sequel%' and mk.movie_id = mi.movie_id and k.id = mk.keyword_id and mi.info in ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') and t.production_year > 2010 | job |
SELECT MAX(ss_net_profit) AS store_sales_profit, MAX(sr_net_loss) AS store_returns_loss, s_store_name, s_store_id, MAX(cs_net_profit) AS catalog_sales_profit, i_item_id, 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 d1.d_moy BETWEEN 2 AND 8 AND d1.d_year = 2001 AND d2.d_year = 2001 AND d3.d_year = 2001 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d3.d_moy BETWEEN 2 AND 8 + 3 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT MIN(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 t.id = mc.movie_id AND it.info = 'bottom 10 rank' AND t.id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND 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 | 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 s_market_id = 8 AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price >= 90 AND ss_sales_price <= 128) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 81 AND 149) OR (cd_marital_status = 'W' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 138 AND 187) ) AND d_year = 2001 AND ca_country = 'United States' AND ca_state IN ('TX', 'GA', 'FL') AND ( (hd_dep_count = 2 AND hd_vehicle_count <= 4) OR (hd_dep_count = 4 AND hd_vehicle_count <= 5) OR (hd_dep_count = 5 AND hd_vehicle_count <= 6) ) | tpcds |
SELECT c_last_name, extended_price, extended_tax, list_price, c_first_name, ss_ticket_number, ca_city, 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 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 d_dow IN (6, 0) AND d_year IN (2001, 2000, 2002) AND s_city IN ('Five Points', 'Springfield') 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 COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE pl.LinkTypeId = 1 AND p.FavoriteCount >= 0 AND p.Id = pl.PostId AND p.Id = v.PostId AND c.Score = 0 AND p.Id = c.PostId AND p.Id = ph.PostId LIMIT 1000; | stats |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_suppkey = l1.l_suppkey AND l1.l_receiptdate > l1.l_commitdate AND o_orderstatus = 'F' 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 o_orderkey = l1.l_orderkey AND n_name = 1 AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) GROUP BY s_name ORDER BY numwait ASC, s_name LIMIT 100 | tpch |
SELECT SUM(l_extendedprice * l_discount) AS revenue FROM lineitem WHERE l_quantity < 1 AND l_shipdate >= DATE 1 AND l_shipdate < DATE 1 + INTERVAL '1' YEAR AND l_discount BETWEEN 1 - 0.01 AND 1 + 0.01 LIMIT 1000; | tpch |
SELECT i_item_id, s_store_name, i_item_desc, 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 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(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND k.keyword ='character-name-in-title' AND cn.country_code ='[de]' | 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 ct.id = mc.company_type_id AND ci.note LIKE '%(uncredited)%' AND rt.role = 'actor' AND t.production_year > 2005 AND rt.id = ci.role_id AND ci.movie_id = mc.movie_id AND ci.note LIKE '%(voice)%' AND cn.id = mc.company_id AND t.id = mc.movie_id AND cn.country_code = '[ru]' AND t.id = ci.movie_id AND chn.id = ci.person_role_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 c_custkey = o_custkey AND s_suppkey = l_suppkey AND o_orderkey = l_orderkey 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 | 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 it2.id = mi.info_type_id AND kt.kind = 'movie' AND at.movie_id = mi.movie_id AND mi.info LIKE 'USA:%200%' AND cn.country_code = '[us]' AND at.movie_id = mc.movie_id AND mi_idx.movie_id = mc.movie_id AND it1.id = mi_idx.info_type_id AND t.id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND t.id = at.movie_id AND at.title LIKE '%Champion%' AND t.id = mi_idx.movie_id AND mi_idx.info < '3.5' AND kt.id = t.kind_id AND it2.info = 'release dates' AND it1.info = 'rating' AND at.movie_id = mi_idx.movie_id AND t.production_year > 2000 AND t.id = mi.movie_id | job |
SELECT c_custkey, c_phone, n_name, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, c_address, c_comment FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_returnflag = 'R' AND c_nationkey = n_nationkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH 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 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 t.id = mi_idx.movie_id AND t.id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND it1.info = 'countries' AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND t.production_year > 2008 AND it1.id = mi.info_type_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND mi_idx.info < '7.0' AND cn.id = mc.company_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it2.id = mi_idx.info_type_id AND mk.movie_id = mc.movie_id AND kt.kind IN ('movie', 'episode') AND cn.country_code != '[us]' AND t.id = mk.movie_id AND it2.info = 'rating' AND kt.id = t.kind_id AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(200%)%' AND ct.id = mc.company_type_id AND t.id = mc.movie_id | job |
Select i_item_id, i_item_desc, i_current_price From item Join inventory On i_item_sk = inv_item_sk Join date_dim On d_date_sk = inv_date_sk Join store_sales On ss_item_sk = i_item_sk Where i_manufact_id In (438, 38, 405, 276) AND d_date BETWEEN CAST('2002-01-23' As DATE) AND (CAST('2002-01-23' As DATE) + INTERVAL '60 days') AND inv_quantity_on_hand BETWEEN 100 AND 500 AND i_current_price BETWEEN 91 AND 91 + 30 Group By i_item_id, i_item_desc, i_current_price Order By i_item_id Limit 100; | tpcds |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE p.Score <= 192 AND p.Id = ph.PostId AND p.ViewCount >= 0 AND p.Id = c.PostId AND p.Id = v.PostId AND u.Id = p.OwnerUserId AND u.Id = b.UserId LIMIT 200; | stats |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE mi.movie_id = miidx.movie_id AND it2.info = 'release dates' AND mi.movie_id = mc.movie_id AND it.info = 'rating' AND kt.kind = 'movie' AND miidx.movie_id = t.id AND ct.id = mc.company_type_id AND mi.movie_id = t.id AND ct.kind = 'production companies' AND cn.country_code = '[de]' AND mc.movie_id = t.id AND miidx.movie_id = mc.movie_id AND kt.id = t.kind_id AND it.id = miidx.info_type_id AND it2.id = mi.info_type_id AND cn.id = mc.company_id | job |
SELECT l_orderkey, o_orderdate, o_shippriority, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem WHERE c_mktsegment = 1 AND o_orderdate < DATE 1 AND l_shipdate > DATE 1 AND c_custkey = o_custkey AND l_orderkey = o_orderkey GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue ASC, o_orderdate LIMIT 10 | tpch |
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 ml.movie_id = mi.movie_id AND ml.movie_id = mc.movie_id AND lt.link LIKE '%follow%' AND mc.note LIKE '%(USA)%' AND t.production_year > 1950 AND ct.id = mc.company_type_id AND cn.country_code = '[us]' AND t.id = mc.movie_id AND t.id = mk.movie_id AND cn.id = mc.company_id AND lt.id = ml.link_type_id AND it.info = 'release dates' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ml.movie_id = mk.movie_id AND mi.info LIKE 'USA:% 199%' AND mi.movie_id = t.id AND t.id = ml.movie_id AND mi.note LIKE '%internet%' AND mk.movie_id = mc.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND k.id = mk.keyword_id AND it.id = mi.info_type_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 k.keyword = 'marvel-cinematic-universe' AND k.id = mk.keyword_id AND t.production_year > 2010 AND ci.movie_id = mk.movie_id AND t.id = ci.movie_id AND n.id = ci.person_id AND n.name LIKE '%Downey%Robert%' AND t.id = mk.movie_id | 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 n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND r_name = 1 AND s_suppkey = ps_suppkey AND p_size = 1 AND p_partkey = ps_partkey 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_type LIKE 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE ps_partkey = l_partkey AND s_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND o_orderkey = l_orderkey AND p_partkey = l_partkey AND s_nationkey = n_nationkey AND ps_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, badges as b where p.Id = v.PostId and b.UserId = c.UserId and pl.LinkTypeId = 1 and c.Score = 0 and p.Id = pl.RelatedPostId and p.Id = ph.PostId and p.Id = c.PostId | stats |
SELECT ss_ticket_number, c_first_name, c_last_name, c_salutation, cnt, c_preferred_cust_flag FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_dom BETWEEN 1 AND 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND d_year IN (2001, 2001, 2001) 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 AVG(l_discount) AS avg_disc, COUNT(*) AS count_order, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice) AS sum_base_price, AVG(l_quantity) AS avg_qty, l_returnflag, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_linestatus, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_extendedprice) AS avg_price FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
WITH year_total AS ( SELECT 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_login AS customer_login, 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, c_last_name AS customer_last_name, 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 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(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 ct.id = mc.company_type_id AND mi.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND t.id = mi.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mi_idx.info < '7.0' AND kt.id = t.kind_id AND it1.info = 'countries' AND t.id = mi_idx.movie_id AND mc.note LIKE '%(200%)%' AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND t.production_year > 2008 AND t.id = mc.movie_id AND kt.kind IN ('movie', 'episode') AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND it2.id = mi_idx.info_type_id AND cn.country_code != '[us]' AND mc.note NOT LIKE '%(USA)%' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mc.movie_id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND it2.info = 'rating' AND it1.id = mi.info_type_id | job |
Select Avg(cs_sales_price) As agg4, i_item_id, Avg(cs_list_price) As agg2, Avg(cs_quantity) As agg1, 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 = 'M' And cd_marital_status = 'W' And cd_education_status = 'Advanced Degree' And (p_channel_email = 'N' Or p_channel_event = 'N') And d_year = 2000 Group By i_item_id Order By i_item_id Limit 100; | 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 p.Id = v.PostId and c.UserId = u.Id and b.UserId = u.Id and p.Id = ph.PostId and p.Id = c.PostId and pl.LinkTypeId = 1 and p.Id = pl.RelatedPostId and p.Score <= 40 | stats |
SELECT i_item_id, SUM(ss_quantity) AS store_sales_quantity, i_item_desc, SUM(cs_quantity) AS catalog_sales_quantity, s_store_id, SUM(sr_return_quantity) AS store_returns_quantity, s_store_name 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 = 5 AND d2.d_year = 2000 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d3.d_year = 2000 AND d1.d_year = 2000 AND d2.d_moy BETWEEN 5 AND 5 + 3 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT MIN(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 mk.movie_id = mi.movie_id AND k.keyword LIKE '%sequel%' AND t.production_year > 2010 AND t.id = mk.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mi.movie_id LIMIT 200; | job |
SELECT AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE d_year = 2001 AND ca_state IN ('TX', 'GA', 'FL') AND s_market_id = 8 AND ca_country = 'United States' AND ( (hd_dep_count = 2 AND hd_vehicle_count <= 4) OR (hd_dep_count = 4 AND hd_vehicle_count <= 5) OR (hd_dep_count = 5 AND hd_vehicle_count <= 6) ) AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price BETWEEN 90 AND 128) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 81 AND 149) OR (cd_marital_status = 'W' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 138 AND 187) ) LIMIT 500; | tpcds |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v where p.Id = pl.PostId AND pl.LinkTypeId = 1 AND p.Id = c.PostId AND c.Score = 0 AND p.FavoriteCount >= 0 AND p.Id = v.PostId AND p.Id = ph.PostId | stats |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE o_orderkey = l_orderkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND 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 c_custkey = o_custkey AND s_suppkey = l_suppkey 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, votes AS v WHERE c.CreationDate >= '2010-08-02 23:52:10'::timestamp AND p.Id = c.PostId AND pl.PostId = v.PostId AND c.PostId = pl.PostId AND p.Score >= -3 AND v.VoteTypeId = 2 | 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 mc.company_id = cn.id AND an.person_id = n.id AND ci.movie_id = t.id AND cn.country_code = '[us]' AND n.id = ci.person_id AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND an.person_id = ci.person_id AND t.episode_nr < 100 AND t.id = mc.movie_id AND k.keyword = 'character-name-in-title' AND ci.movie_id = mk.movie_id AND t.episode_nr >= 50 AND mk.keyword_id = k.id AND ci.movie_id = mc.movie_id LIMIT 200; | job |
Select p_brand, p_type, p_size, Count(Distinct ps_suppkey) As supplier_cnt From partsupp, part Where p_type Not Like 1 And p_partkey = ps_partkey And p_brand <> 1 And ps_suppkey Not In ( Select s_suppkey From supplier Where s_comment Like '%Customer%Complaints%' ) And p_size In (1, 1, 1, 1, 1, 1, 1, 1) Group By p_brand, p_type, p_size Order By supplier_cnt Desc, p_brand, p_type, p_size | tpch |
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