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select dt.d_year, sum(ss_ext_sales_price) as sum_agg, item.i_brand_id as brand_id, item.i_brand as brand from date_dim as dt join store_sales on dt.d_date_sk = store_sales.ss_sold_date_sk join item on store_sales.ss_item_sk = item.i_item_sk where item.i_manufact_id = 266 and dt.d_moy = 12 group by dt.d_year, item.i_brand, item.i_brand_id order by dt.d_year, sum_agg desc, brand_id limit 100; | tpcds |
WITH year_total AS ( SELECT 's' AS sale_type, c_preferred_cust_flag AS customer_preferred_cust_flag, d_year AS dyear, 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_email_address AS customer_email_address, c_birth_country AS customer_birth_country, c_last_name AS customer_last_name, c_login AS customer_login, 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 |
WITH _q AS ( Select MAX(t.title) As western_sequel, MAX(lt.link) As link_type, MAX(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 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 ) SELECT * FROM _q; | 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.production_year > 2005 AND k.keyword LIKE '%sequel%' AND t.id = mi.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German']) | job |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE an.person_id = ci.person_id AND an.person_id = n.id AND ci.movie_id = t.id AND t.episode_nr >= 50 AND mk.keyword_id = k.id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND k.keyword = 'character-name-in-title' AND t.episode_nr < 100 AND t.id = mk.movie_id AND t.id = mc.movie_id AND n.id = ci.person_id AND cn.country_code = '[us]' LIMIT 100; | job |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND o_custkey = c_custkey AND n1.n_regionkey = r_regionkey AND r_name = 1 AND s_nationkey = n2.n_nationkey AND p_type = 1 ) AS all_nations AND p_partkey = l_partkey AND l_orderkey = o_orderkey AND s_suppkey = l_suppkey AND c_nationkey = n1.n_nationkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'top 250 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id | job |
SELECT SUM(cs_quantity) AS catalog_sales_quantity, SUM(ss_quantity) AS store_sales_quantity, i_item_desc, s_store_id, i_item_id, s_store_name, SUM(sr_return_quantity) AS store_returns_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_moy BETWEEN 3 AND 3 + 3 AND d3.d_moy BETWEEN 3 AND 3 + 3 AND d1.d_year = 2001 AND d3.d_year = 2001 AND d2.d_year = 2001 AND d1.d_moy = 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 |
WITH _q AS ( SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE hd_vehicle_count > 0 AND d_year = ANY(ARRAY[2001, 2000, 2002]) AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND s_county IN ('Williamson County', 'Barrow County', 'Placer County') AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.85 AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100 ) SELECT * FROM _q; | tpcds |
WITH _q AS ( SELECT AVG(ss_quantity) AS agg1, AVG(ss_list_price) AS agg2, i_item_id, 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 cd_gender = 'M' AND cd_marital_status = 'D' AND cd_education_status = 'Primary' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND d_year = 2001 GROUP BY i_item_id ORDER BY i_item_id LIMIT 100 ) SELECT * FROM _q; | tpcds |
select l_orderkey, sum(l_extendedprice * (1 - l_discount)) as revenue, o_orderdate, o_shippriority from customer, orders, lineitem where o_orderdate < DATE 1 and l_orderkey = o_orderkey and l_shipdate > DATE 1 and c_custkey = o_custkey and c_mktsegment = 1 group by l_orderkey, o_orderdate, o_shippriority order by revenue ASC, o_orderdate limit 10 | tpch |
select supp_nation, cust_nation, l_year, sum(volume) as revenue from ( select n1.n_name as supp_nation, n2.n_name as cust_nation, EXTRACT(YEAR from l_shipdate) as l_year, l_extendedprice * (1 - l_discount) as volume from supplier, lineitem, orders, customer, nation n1, nation n2 where s_suppkey = l_suppkey and o_orderkey = l_orderkey and c_custkey = o_custkey and ( (n1.n_name = 1 and n2.n_name = 1) or (n1.n_name = 1 and n2.n_name = 1) ) and l_shipdate between DATE '1995-01-01' and DATE '1996-12-31' ) as shipping and 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 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.production_year > 2008 AND mk.movie_id = mi.movie_id AND cn.country_code != '[us]' AND kt.kind In ('movie', 'episode') AND it1.info = 'countries' AND kt.id = t.kind_id AND it1.id = mi.info_type_id AND mc.note Like '%(200%)%' AND mi_idx.info < '7.0' AND it2.info = 'rating' AND t.id = mi.movie_id AND cn.id = mc.company_id AND k.keyword In ('murder', 'murder-In-title', 'blood', 'violence') AND ct.id = mc.company_type_id AND mc.note Not Like '%(USA)%' AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND it2.id = mi_idx.info_type_id AND mi.movie_id = mc.movie_id AND mi.info In ('Germany', 'German', 'USA', 'American') | 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_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_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 LIMIT 200; | 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.id = mc.movie_id AND n.gender = 'f' AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND mc.note LIKE '%(Japan)%' AND rt.role = 'actress' AND mc.note NOT LIKE '%(USA)%' AND k.keyword = 'anime' AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = ci.movie_id AND cn.country_code = '[jp]' AND ci.note LIKE '%(voice: English version)%' AND k.id = mk.keyword_id AND ci.role_id = rt.id AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.person_id = an.person_id AND t.production_year > 1990 AND t.id = ci.movie_id | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND ct.kind = 'production companies' | 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 ci.person_id = an.person_id AND ci.movie_id = mc.movie_id AND it.info = 'release dates' AND mi.movie_id = mc.movie_id AND n.id = ci.person_id AND t.id = mc.movie_id AND t.id = mi.movie_id AND ci.role_id = rt.id AND cn.country_code = '[us]' AND mi.movie_id = ci.movie_id AND t.production_year > 2000 AND t.id = ci.movie_id AND an.person_id = n.id AND rt.role = 'actress' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND cn.id = mc.company_id AND mc.note LIKE '%(USA)%' AND n.gender = 'f' AND it.id = mi.info_type_id AND chn.id = ci.person_role_id | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND k.keyword ='character-name-IN-title' AND mk.keyword_id = k.id AND mc.movie_id = t.id AND t.id = mk.movie_id AND cn.country_code ='[nl]' | job |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE mc.movie_id = mk.movie_id AND k.keyword = 'character-name-in-title' AND ci.movie_id = mc.movie_id AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND t.episode_nr >= 50 AND cn.country_code = '[us]' AND n.id = ci.person_id AND an.person_id = ci.person_id AND mk.keyword_id = k.id AND t.episode_nr < 100 AND ci.movie_id = t.id AND t.id = mc.movie_id AND an.person_id = n.id AND mc.company_id = cn.id | job |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE it.info = 'release dates' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.note LIKE '%(USA)%' AND ml.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND lt.link LIKE '%follow%' AND t.id = mk.movie_id AND cn.id = mc.company_id AND ct.id = mc.company_type_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 k.id = mk.keyword_id AND t.id = mc.movie_id AND t.id = ml.movie_id AND it.id = mi.info_type_id AND t.production_year > 1950 AND lt.id = ml.link_type_id | job |
SELECT s_store_name, SUM(cs_quantity) AS catalog_sales_quantity, i_item_desc, s_store_id, SUM(ss_quantity) AS store_sales_quantity, i_item_id, SUM(sr_return_quantity) AS store_returns_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_moy BETWEEN 3 AND 3 + 3 AND d1.d_moy = 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 3 AND 3 + 3 AND d1.d_year = 2001 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 c_name, o_totalprice, sum(l_quantity), o_orderkey, o_orderdate, c_custkey 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 MAX(an.name) AS cool_actor_pseudonym, MAX(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE mc.movie_id = mk.movie_id AND n.id = ci.person_id AND an.person_id = ci.person_id AND cn.country_code = '[us]' AND t.episode_nr >= 50 AND ci.movie_id = mk.movie_id AND t.id = mc.movie_id AND t.id = mk.movie_id AND ci.movie_id = t.id AND an.person_id = n.id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND k.keyword = 'character-name-in-title' AND t.episode_nr < 100 AND mk.keyword_id = k.id LIMIT 50; | job |
SELECT s_address, s_phone, total_revenue, s_name, s_suppkey FROM supplier, revenue0 WHERE total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) AND s_suppkey = supplier_no ORDER BY s_suppkey | tpch |
Select n_name, Sum(l_extendedprice * (1 - l_discount)) As revenue From customer, orders, lineitem, supplier, nation, region Where l_suppkey = s_suppkey And c_nationkey = s_nationkey And c_custkey = o_custkey And n_regionkey = r_regionkey And o_orderdate >= DATE 1 And l_orderkey = o_orderkey And r_name = 1 And o_orderdate < DATE 1 + INTERVAL '1' YEAR And s_nationkey = n_nationkey Group By n_name Order By revenue Desc | tpch |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.Id = pl.PostId AND p.PostTypeId = 1 AND p.Id = c.PostId AND p.AnswerCount >= 0 ) SELECT * FROM _q AND u.Id = p.OwnerUserId AND p.Id = ph.PostId AND p.Id = v.PostId | stats |
WITH _q AS ( SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE mc.note LIKE '%(200%)%' AND t.production_year > 2008 AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND it1.info = 'countries' AND cn.country_code != '[us]' AND mk.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND ct.id = mc.company_type_id AND it2.id = mi_idx.info_type_id AND t.id = mi.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND t.id = mi_idx.movie_id AND it2.info = 'rating' AND mk.movie_id = mi.movie_id AND mi_idx.info < '7.0' AND mc.movie_id = mi_idx.movie_id AND it1.id = mi.info_type_id AND t.id = mc.movie_id AND k.id = mk.keyword_id AND mi.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND kt.kind IN ('movie', 'episode') AND t.id = mk.movie_id AND cn.id = mc.company_id ) SELECT * FROM _q; | job |
WITH _q AS ( SELECT i_item_id, AVG(ss_quantity) AS agg1, AVG(ss_list_price) AS agg2, AVG(ss_coupon_amt) AS agg3, AVG(ss_sales_price) AS agg4 FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE d_year = 2001 AND cd_gender = 'M' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = 'Primary' AND cd_marital_status = 'D' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100 ) SELECT * FROM _q; | tpcds |
SELECT COUNT(*) FROM comments AS c, posts AS p, users AS u WHERE p.FavoriteCount >= 0 AND c.UserId = u.Id AND u.Id = p.OwnerUserId AND p.CommentCount >= 0 AND c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND p.ViewCount >= 0 LIMIT 100; | stats |
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 n1.n_regionkey = r_regionkey AND o_custkey = c_custkey AND s_suppkey = l_suppkey AND r_name = 1 AND p_partkey = l_partkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND c_nationkey = n1.n_nationkey AND l_orderkey = o_orderkey AND s_nationkey = n2.n_nationkey AND p_type = 1 ) AS all_nations GROUP BY o_year ORDER BY o_year | 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 n_regionkey = r_regionkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND r_name = 1 AND 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 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mc.movie_id AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND it.info = 'top 250 rank' LIMIT 1000; | 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 it.info = 'bottom 10 rank' AND mc.movie_id = mi.movie_id AND t.id = mc.movie_id AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi.movie_id | job |
Select Min(an1.name) As actress_pseudonym, Min(t.title) As japanese_movie_dubbed From aka_name As an1, cast_info As ci, company_name As cn, movie_companies As mc, name As n1, role_type As rt, title As t Where t.id = mc.movie_id AND n1.name Not Like '%Yu%' AND ci.note = '(voice: English version)' AND n1.name Like '%Yo%' AND ci.movie_id = t.id AND mc.note Like '%(Japan)%' AND mc.company_id = cn.id AND rt.role = 'actress' AND n1.id = ci.person_id AND ci.role_id = rt.id AND ci.movie_id = mc.movie_id AND cn.country_code = '[jp]' AND mc.note Not Like '%(USA)%' AND an1.person_id = ci.person_id AND an1.person_id = n1.id | job |
Select p_partkey, s_phone, s_address, s_acctbal, s_comment, s_name, n_name, p_mfgr From part, supplier, partsupp, nation, region Where p_partkey = ps_partkey And s_suppkey = ps_suppkey And p_size = 1 And p_type Like 1 And s_nationkey = n_nationkey And n_regionkey = r_regionkey And r_name = 1 And ps_supplycost = ( Select Min(ps_supplycost) From partsupp, supplier, nation, region Where p_partkey = ps_partkey And s_suppkey = ps_suppkey And s_nationkey = n_nationkey And n_regionkey = r_regionkey And r_name = 1 ) Order By s_acctbal Desc, n_name, s_name, p_partkey Limit 100 | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi_idx.info_type_id AND ct.kind = 'production companies' | job |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE c_nationkey = n2.n_nationkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND o_orderkey = l_orderkey AND c_custkey = o_custkey AND s_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, MAX(ss_net_profit) AS store_sales_profit, MAX(sr_net_loss) AS store_returns_loss, MAX(cs_net_profit) AS catalog_sales_profit FROM store_sales 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 d2.d_moy BETWEEN 3 AND 7 + 3 AND d1.d_year = 2002 AND d3.d_moy BETWEEN 3 AND 7 + 3 AND d2.d_year = 2002 AND d3.d_year = 2002 AND d1.d_moy BETWEEN 3 AND 7 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 * from ( select avg(ss_list_price) as b1_lp, count(ss_list_price) as b1_cnt, count(distinct ss_list_price) as b1_cntd from store_sales where ss_quantity between 0 and 5 and (ss_list_price between 18 and 18 + 10 or ss_coupon_amt between 510 and 510 + 1000 or ss_wholesale_cost between 78 and 78 + 20) ) as b1, ( select avg(ss_list_price) as b2_lp, count(ss_list_price) as b2_cnt, count(distinct ss_list_price) as b2_cntd from store_sales where ss_quantity between 6 and 10 and (ss_list_price between 98 and 98 + 10 or ss_coupon_amt between 2733 and 2733 + 1000 or ss_wholesale_cost between 77 and 77 + 20) ) as b2, ( select avg(ss_list_price) as b3_lp, count(ss_list_price) as b3_cnt, count(distinct ss_list_price) as b3_cntd from store_sales where ss_quantity between 11 and 15 and (ss_list_price between 71 and 71 + 10 or ss_coupon_amt between 1905 and 1905 + 1000 or ss_wholesale_cost between 61 and 61 + 20) ) as b3 limit 100; | tpcds |
SELECT MIN(n.name) AS actor_name, MIN(k.keyword) AS movie_keyword, 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 n.id = ci.person_id AND t.id = mk.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND t.id = ci.movie_id | job |
SELECT SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share, o_year FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE s_suppkey = l_suppkey AND p_partkey = l_partkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_type = 1 ) AS all_nations AND s_nationkey = n2.n_nationkey AND o_custkey = c_custkey AND c_nationkey = n1.n_nationkey AND r_name = 1 AND n1.n_regionkey = r_regionkey AND l_orderkey = o_orderkey GROUP BY o_year ORDER BY o_year | tpch |
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 n1.name LIKE '%Yo%' AND an1.person_id = ci.person_id AND mc.company_id = cn.id AND mc.note NOT LIKE '%(USA)%' AND ci.role_id = rt.id AND cn.country_code = '[jp]' AND ci.note = '(voice: English version)' AND n1.id = ci.person_id AND an1.person_id = n1.id AND ci.movie_id = t.id AND mc.note LIKE '%(Japan)%' AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND rt.role = 'actress' | job |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE mc.movie_id = t.id AND ct.id = mc.company_type_id AND kt.id = t.kind_id AND mi.movie_id = mc.movie_id AND cn.country_code = '[de]' AND it.info = 'rating' AND cn.id = mc.company_id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND it2.id = mi.info_type_id AND it2.info = 'release dates' AND mi.movie_id = t.id AND miidx.movie_id = mc.movie_id AND miidx.movie_id = t.id AND ct.kind = 'production companies' AND kt.kind = 'movie' | job |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE s_gmt_offset = -5 AND ca_gmt_offset = -5 AND s_gmt_offset = -5 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_moy = 8 ) AS all_sales AND d_year = 2001 AND d_moy = 8 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -5 AND d_year = 2001 AND i_category = 'Jewelry' AND i_category = 'Jewelry' ORDER BY promotions, total LIMIT 100; | tpcds |
WITH _q AS ( SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.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 ) SELECT * FROM _q AND k.keyword LIKE '%sequel%' AND t.id = mk.movie_id | 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 INNER JOIN catalog_returns on cr_call_center_sk = cc_call_center_sk INNER JOIN date_dim on cr_returned_date_sk = d_date_sk INNER JOIN customer on cr_returning_customer_sk = c_customer_sk INNER JOIN customer_address on c_current_addr_sk = ca_address_sk INNER JOIN customer_demographics on cr_returning_cdemo_sk = cd_demo_sk INNER JOIN household_demographics on cr_returning_hdemo_sk = hd_demo_sk where d_year = 1999 and d_moy = 12 and ( (cd_marital_status = 'S' and cd_education_status = '4 yr Degree') or (hd_buy_potential like '1001-5000%' and ca_gmt_offset = -6) ) and ca_gmt_offset = -6 group by cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status order by returns_loss desc limit 100; | tpcds |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE pl.LinkTypeId = 1 AND p.Id = ph.PostId AND p.Id = c.PostId AND p.Id = v.PostId AND p.FavoriteCount >= 0 AND p.Id = pl.PostId AND c.Score = 0 | stats |
SELECT COUNT(*) FROM store_sales INNER JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk INNER JOIN time_dim ON ss_sold_time_sk = t_time_sk INNER JOIN store ON ss_store_sk = s_store_sk WHERE t_minute >= 43 AND s_store_name = 'ought' AND t_hour = 16 AND hd_dep_count = 4 ORDER BY COUNT(*) ASC 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 mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND k.id = mk.keyword_id AND t.production_year > 2000 AND k.keyword LIKE '%sequel%' AND t.id = mi.movie_id LIMIT 500; | 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.id = mk.keyword_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND k.keyword LIKE '%sequel%' AND mk.movie_id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.production_year > 2000 LIMIT 500; | job |
SELECT l_year, SUM(volume) AS revenue, supp_nation, cust_nation 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 10; | tpch |
SELECT l_orderkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, o_shippriority FROM customer, orders, lineitem WHERE l_shipdate > DATE 1 AND l_orderkey = o_orderkey AND c_mktsegment = 1 AND c_custkey = o_custkey 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 movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where t.production_year > 2005 AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND k.keyword Like '%sequel%' AND t.id = mi.movie_id AND t.id = mk.movie_id AND mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') | job |
select min(t.title) as movie_title from company_name as cn, keyword as k, movie_companies as mc, movie_keyword as mk, title as t where cn.id = mc.company_id and mc.movie_id = t.id and mk.keyword_id = k.id and mc.movie_id = mk.movie_id and k.keyword ='character-name-in-title' and cn.country_code ='[sm]' and t.id = mk.movie_id LIMIT 50; | job |
SELECT l_orderkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, o_shippriority FROM customer, orders, lineitem WHERE l_shipdate > DATE 1 AND l_orderkey = o_orderkey AND c_mktsegment = 1 AND o_orderdate < 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 promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE i_category = 'Music' AND d_moy = 8 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -7 AND i_category = 'Music' AND ca_gmt_offset = -7 AND d_year = 1998 AND d_moy = 8 ) AS all_sales AND s_gmt_offset = -7 AND d_year = 1998 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -7 ORDER BY promotions, total LIMIT 100; | tpcds |
select count(*) from comments as c, posts as p, postHistory as ph, votes as v, users as u where c.UserId = p.OwnerUserId and p.AnswerCount >= 0 and p.OwnerUserId = ph.UserId and ph.UserId = v.UserId and u.Id = c.UserId and p.Score <= 13 | stats |
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('2001-07-13' As DATE) And (CAST('2001-07-13' As DATE) + INTERVAL '60 days') And inv_quantity_on_hand Between 100 And 500 And i_manufact_id In (211, 362, 413, 88) And i_current_price Between 77 And 77 + 30 Group By i_item_id, i_item_desc, i_current_price Order By i_item_id Limit 100; | tpcds |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND k.keyword ='character-name-in-title' AND cn.id = mc.company_id AND cn.country_code ='[sm]' AND mc.movie_id = t.id AND t.id = mk.movie_id LIMIT 50; | job |
SELECT COUNT(*) AS count_order, l_returnflag, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_quantity) AS avg_qty, l_linestatus, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_discount) AS avg_disc, SUM(l_quantity) AS sum_qty, 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 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 it.id = miidx.info_type_id AND miidx.movie_id = mc.movie_id AND it.info = 'rating' AND cn.country_code = '[de]' AND ct.id = mc.company_type_id AND it2.id = mi.info_type_id AND it2.info = 'release dates' AND kt.kind = 'movie' AND mc.movie_id = t.id AND cn.id = mc.company_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = t.id AND miidx.movie_id = t.id AND ct.kind = 'production companies' AND mi.movie_id = mc.movie_id AND kt.id = t.kind_id | job |
SELECT p_type, p_brand, 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 p_brand <> 1 AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_partkey = ps_partkey GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT i_item_desc, s_store_name, MAX(ss_net_profit) AS store_sales_profit, MAX(sr_net_loss) AS store_returns_loss, i_item_id, MAX(cs_net_profit) AS catalog_sales_profit, s_store_id FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 2 AND 8 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 2 AND 8 + 3 AND d3.d_year = 2002 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
Select Min(t.title) As movie_title From company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, title As t Where mc.movie_id = mk.movie_id AND k.keyword ='character-name-In-title' AND t.id = mk.movie_id AND cn.country_code ='[nl]' AND mk.keyword_id = k.id AND mc.movie_id = t.id AND cn.id = mc.company_id | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE it.id = mi_idx.info_type_id AND it.info = 'top 250 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND t.id = mc.movie_id 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 p.Score <= 40 AND p.Id = v.PostId AND b.UserId = u.Id AND p.Id = ph.PostId AND p.Id = c.PostId AND pl.LinkTypeId = 1 AND c.UserId = u.Id AND p.Id = pl.RelatedPostId | stats |
WITH year_total AS ( SELECT c_first_name AS customer_first_name, c_last_name AS customer_last_name, 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_birth_country AS customer_birth_country, d_year AS dyear, c_customer_id AS customer_id, c_login AS customer_login, c_preferred_cust_flag AS customer_preferred_cust_flag, 's' AS sale_type 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 |
with year_total as ( select c_first_name as customer_first_name, c_preferred_cust_flag as customer_preferred_cust_flag, c_email_address as customer_email_address, c_login as customer_login, sum(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) as year_total, c_last_name as customer_last_name, c_customer_id as customer_id, 's' as sale_type, d_year as dyear, c_birth_country as customer_birth_country from customer INNER JOIN store_sales on c_customer_sk = ss_customer_sk INNER 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 INNER JOIN year_total as t_s_secyear on t_s_firstyear.customer_id = t_s_secyear.customer_id where t_s_firstyear.sale_type = 's' and t_s_secyear.sale_type = 's' and t_s_firstyear.dyear = 2002 and t_s_secyear.dyear = 2002 + 1 and t_s_firstyear.year_total > 0 and case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else NULL end > 1.0 order by t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address limit 100; | tpcds |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE ct.kind = 'production companies' AND it2.id = mi.info_type_id AND mc.movie_id = t.id AND it.info = 'rating' AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND cn.country_code = '[de]' AND mi.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND it2.info = 'release dates' AND miidx.movie_id = mc.movie_id AND kt.id = t.kind_id AND mi.movie_id = t.id AND cn.id = mc.company_id AND kt.kind = 'movie' AND miidx.movie_id = t.id | job |
select min(n.name) as of_person, min(t.title) as biography_movie from aka_name as an, cast_info as ci, info_type as it, link_type as lt, movie_link as ml, name as n, person_info as pi, title as t where an.name like '%a%' and it.info = 'mini biography' and lt.link = 'features' and n.name_pcode_cf >= 'A' AND n.name_pcode_cf <= 'F' and (n.gender = 'm' or (n.gender = 'f' and n.name like 'B%')) and pi.note = 'Volker Boehm' and t.production_year between 1980 and 1995 and n.id = an.person_id and n.id = pi.person_id and ci.person_id = n.id and t.id = ci.movie_id and ml.linked_movie_id = t.id and lt.id = ml.link_type_id and it.id = pi.info_type_id and pi.person_id = an.person_id and pi.person_id = ci.person_id and an.person_id = ci.person_id and ci.movie_id = ml.linked_movie_id limit 100; | job |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, MAX(ss_net_profit) AS store_sales_profit, MAX(sr_net_loss) AS store_returns_loss, MAX(cs_net_profit) AS catalog_sales_profit FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d3.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2001 AND d1.d_moy BETWEEN 2 AND 8 AND d1.d_year = 2001 AND d3.d_year = 2001 AND d2.d_moy BETWEEN 2 AND 8 + 3 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name; | 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 t.id = ci.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND mi.movie_id = mc.movie_id AND an.person_id = n.id AND cn.id = mc.company_id AND n.id = ci.person_id AND it.info = 'release dates' AND rt.role = 'actress' AND ci.role_id = rt.id AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND chn.id = ci.person_role_id AND t.id = mi.movie_id AND ci.person_id = an.person_id AND n.gender = 'f' AND mc.note LIKE '%(USA)%' AND t.production_year > 2000 AND t.id = mc.movie_id AND mi.movie_id = ci.movie_id AND it.id = mi.info_type_id | job |
SELECT MIN(t.title) AS japanese_movie_dubbed, MIN(an1.name) AS actress_pseudonym FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE ci.movie_id = t.id AND cn.country_code = '[jp]' AND mc.note NOT LIKE '%(USA)%' AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND ci.note = '(voice: English version)' AND ci.role_id = rt.id AND t.id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND mc.company_id = cn.id AND n1.name NOT LIKE '%Yu%' AND an1.person_id = ci.person_id AND n1.name LIKE '%Yo%' AND an1.person_id = n1.id AND n1.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 t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id | job |
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 k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mk.movie_id = mc.movie_id AND ml.movie_id = mk.movie_id AND mc.note LIKE '%(USA)%' AND ct.id = mc.company_type_id AND it.info = 'release dates' AND it.id = mi.info_type_id AND t.id = ml.movie_id AND t.id = mc.movie_id AND t.id = mk.movie_id AND mi.note LIKE '%internet%' AND mi.movie_id = t.id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.production_year > 1950 AND cn.country_code = '[us]' AND lt.link LIKE '%follow%' AND ml.movie_id = mi.movie_id AND mi.info LIKE 'USA:% 199%' AND k.id = mk.keyword_id AND ml.movie_id = mc.movie_id AND cn.id = mc.company_id AND lt.id = ml.link_type_id | job |
SELECT 100.00 * SUM( CASE WHEN p_type LIKE 'PROMO%' THEN l_extendedprice * (1 - l_discount) ELSE 0 END ) / SUM(l_extendedprice * (1 - l_discount)) AS promo_revenue FROM lineitem, part WHERE l_partkey = p_partkey AND l_shipdate < DATE 1 + INTERVAL '1' MONTH AND l_shipdate >= DATE 1 LIMIT 500; | tpch |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, MIN(ss_net_profit) AS store_sales_profit, MIN(sr_net_loss) AS store_returns_loss, MIN(cs_net_profit) AS catalog_sales_profit FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy >= 3 AND d1.d_moy <= 7 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 3 AND 7 + 3 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 3 AND 7 + 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 Avg(ss_sales_price) As agg4, i_item_id, Avg(ss_coupon_amt) As agg3, Avg(ss_quantity) As agg1, Avg(ss_list_price) As agg2 From store_sales Join customer_demographics On ss_cdemo_sk = cd_demo_sk Join date_dim On ss_sold_date_sk = d_date_sk Join item On ss_item_sk = i_item_sk Join promotion On ss_promo_sk = p_promo_sk Where cd_gender = 'M' And cd_marital_status = 'D' And cd_education_status = 'Unknown' And (p_channel_email = 'N' Or p_channel_event = 'N') And d_year = 2002 Group By i_item_id Order By i_item_id Limit 100; | tpcds |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 AND t.id = ci.movie_id AND n.id = ci.person_id AND n.name LIKE '%Hemsworth%Chris%' AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id | job |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.id = mi.info_type_id AND mk.movie_id = mi_idx.movie_id AND t.production_year > 2008 AND mi.info IN ('Germany', 'German', 'USA', 'American') AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mc.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND mc.note NOT LIKE '%(USA)%' AND mc.movie_id = mi_idx.movie_id AND mc.note LIKE '%(200%)%' AND k.id = mk.keyword_id AND mi.movie_id = mc.movie_id AND k.keyword IN ('murder', 'murder-IN-title', 'blood', 'violence') AND kt.id = t.kind_id AND kt.kind IN ('movie', 'episode') AND it1.info = 'countries' AND mi_idx.info < '7.0' AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mk.movie_id = mi.movie_id AND it2.id = mi_idx.info_type_id AND cn.country_code != '[us]' AND it2.info = 'rating' AND mi.movie_id = mi_idx.movie_id | 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 t.production_year BETWEEN 2000 AND 2005 AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id ) SELECT * FROM _q AND mi_idx.info > '8.0' | 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 o_orderkey = l_orderkey And l_shipdate Between DATE '1995-01-01' And DATE '1996-12-31' ) As shipping And ( (n1.n_name = 1 And n2.n_name = 1) Or (n1.n_name = 1 And n2.n_name = 1) ) And 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 n_name, sum(l_extendedprice * (1 - l_discount)) as revenue from customer, orders, lineitem, supplier, nation, region where c_nationkey = s_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND s_nationkey = n_nationkey AND l_suppkey = s_suppkey AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 group by n_name order by revenue desc | tpch |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE p_partkey = l_partkey AND s_nationkey = n_nationkey AND ps_partkey = l_partkey AND s_suppkey = l_suppkey AND ps_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND o_orderkey = l_orderkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
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 = ci.person_id AND ci.movie_id = t.id AND rt.role = 'actress' AND mc.note LIKE '%(Japan)%' AND ci.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND ci.role_id = rt.id AND ci.note = '(voice: English version)' AND mc.company_id = cn.id AND t.id = mc.movie_id AND n1.name NOT LIKE '%Yu%' AND n1.id = ci.person_id AND an1.person_id = n1.id AND n1.name LIKE '%Yo%' AND cn.country_code = '[jp]' | job |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE s_gmt_offset = -6 AND ca_gmt_offset = -6 AND d_year = 2002 AND d_moy = 5 ) AS all_sales AND d_moy = 5 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -6 AND s_gmt_offset = -6 AND i_category = 'Home' AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_year = 2002 AND i_category = 'Home' ORDER BY promotions, total LIMIT 100; | tpcds |
select p_brand, p_type, p_size, count(distinct ps_suppkey) as supplier_cnt from partsupp, part where p_partkey = ps_partkey and p_brand != 1 and p_type not like 1 and p_size in (1, 1, 1, 1, 1, 1, 1, 1) and ps_suppkey not in ( select s_suppkey from supplier where s_comment like '%Customer%Complaints%' ) group by p_brand, p_type, p_size order by supplier_cnt desc, p_brand, p_type, p_size limit 500; | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND t.id = mc.movie_id | job |
Select s_name, Count(*) As numwait From supplier, lineitem l1, orders, nation Where o_orderstatus = 'F' AND l1.l_receiptdate > l1.l_commitdate AND o_orderkey = l1.l_orderkey AND s_suppkey = l1.l_suppkey AND s_nationkey = n_nationkey AND n_name = 1 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 ) Group By s_name Order By numwait Desc, s_name 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 p_partkey = l_partkey AND s_nationkey = n_nationkey AND s_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey AND ps_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year ASC | tpch |
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.id = mc.company_id AND ci.movie_id = mc.movie_id AND rt.id = ci.role_id AND chn.id = ci.person_role_id AND ct.id = mc.company_type_id AND t.id = ci.movie_id AND ci.note LIKE '%(voice)%' AND ci.note LIKE '%(uncredited)%' AND cn.country_code = '[ru]' AND t.id = mc.movie_id AND rt.role = 'actor' AND t.production_year > 2005 | job |
with year_total as ( select 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, 's' as sale_type, d_year as dyear, c_customer_id as customer_id, c_login as customer_login, c_last_name as customer_last_name, c_preferred_cust_flag as customer_preferred_cust_flag, c_birth_country as customer_birth_country, c_email_address as customer_email_address 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 cnt, c_first_name, c_last_name, c_preferred_cust_flag, c_salutation, ss_ticket_number FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.56 AND d_year IN (2000, 2000, 2003) AND s_county IN ('Williamson County', 'Washington County', 'Placer County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn INNER JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword LIKE '%sequel%' AND k.id = mk.keyword_id AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND t.production_year > 2010 AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') LIMIT 500; | 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 at.movie_id = mc.movie_id AND it2.info = 'release dates' AND cn.country_code = '[us]' AND mi_idx.info < '3.5' AND t.id = mc.movie_id AND t.production_year > 2000 AND mi.movie_id = mc.movie_id AND mi.info LIKE 'USA:%200%' AND kt.kind = 'movie' AND kt.id = t.kind_id AND cn.id = mc.company_id AND it1.info = 'rating' AND at.movie_id = mi.movie_id AND t.id = at.movie_id AND it1.id = mi_idx.info_type_id AND at.title LIKE '%Champion%' AND it2.id = mi.info_type_id AND t.id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND at.movie_id = mi_idx.movie_id AND mi_idx.movie_id = mc.movie_id | job |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE p_partkey = l_partkey AND n1.n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND o_custkey = c_custkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_suppkey = l_suppkey AND p_type = 1 ) AS all_nations AND c_nationkey = n1.n_nationkey AND s_nationkey = n2.n_nationkey AND r_name = 1 GROUP BY o_year ORDER BY o_year | tpch |
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 = 1999 AND ( (cd_marital_status = 'S' and cd_education_status = '2 yr Degree' and ss_sales_price BETWEEN 83 AND 135) or (cd_marital_status = 'S' and cd_education_status = 'Secondary' and ss_sales_price BETWEEN 84 AND 125) or (cd_marital_status = 'D' and cd_education_status = 'College' and ss_sales_price BETWEEN 126 AND 196) ) AND ( (hd_dep_count = 0 and hd_vehicle_count <= 1) or (hd_dep_count = 3 and hd_vehicle_count <= 4) or (hd_dep_count = 6 and hd_vehicle_count <= 4) ) AND ca_state in ('TX', 'WA', 'FL') AND s_market_id = 4 AND ca_country = 'United States' | tpcds |
Select l_orderkey, Sum(l_extendedprice * (1 - l_discount)) As revenue, o_shippriority, o_orderdate From customer, orders, lineitem Where l_orderkey = o_orderkey AND c_mktsegment = 1 AND o_orderdate < DATE 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 s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment From part, supplier, partsupp, nation, region Where s_nationkey = n_nationkey AND s_suppkey = ps_suppkey AND r_name = 1 AND p_type Like 1 AND p_size = 1 AND ps_supplycost = ( Select Min(ps_supplycost) From partsupp, supplier, nation, region Where p_partkey = ps_partkey And s_suppkey = ps_suppkey And s_nationkey = n_nationkey And n_regionkey = r_regionkey And r_name = 1 ) AND p_partkey = ps_partkey AND n_regionkey = r_regionkey Order By s_acctbal Desc, n_name, s_name, p_partkey Limit 100 | tpch |
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_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_type Not Like 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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