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select min(t.title) as movie_title from company_name as cn, keyword as k, movie_companies as mc, movie_keyword as mk, title as t where mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND mk.keyword_id = k.id AND cn.country_code ='[nl]' AND t.id = mk.movie_id AND mc.movie_id = t.id AND k.keyword ='character-name-in-title' | job |
select sum(l_extendedprice * (1 - l_discount)) as sum_disc_price, l_linestatus, sum(l_quantity) as sum_qty, l_returnflag, sum(l_extendedprice) as sum_base_price, avg(l_extendedprice) as avg_price, avg(l_discount) as avg_disc, sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) as sum_charge, avg(l_quantity) as avg_qty, count(*) as count_order 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 l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_shipdate < l_commitdate AND l_shipmode = ANY(ARRAY[1, 1]) AND o_orderkey = l_orderkey AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT ca_city, bought_city, list_price, c_last_name, extended_tax, c_first_name, extended_price, 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 JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 6 OR hd_vehicle_count = 2) AND d_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 JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
Select dt.d_year, item.i_brand_id As brand_id, item.i_brand As brand, Sum(ss_ext_sales_price) As sum_agg From date_dim As dt INNER JOIN store_sales On dt.d_date_sk = store_sales.ss_sold_date_sk INNER JOIN item On store_sales.ss_item_sk = item.i_item_sk Where item.i_manufact_id = 599 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; | tpcds |
SELECT MIN(t.title) AS voiced_movie, MIN(n.name) AS voicing_actress FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE chn.id = ci.person_role_id AND ci.person_id = an.person_id AND t.id = mi.movie_id AND mi.movie_id = ci.movie_id AND an.person_id = n.id AND t.id = ci.movie_id AND cn.id = mc.company_id AND t.id = mc.movie_id AND rt.role = 'actress' AND it.id = mi.info_type_id AND t.production_year > 2000 AND it.info = 'release dates' AND ci.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND cn.country_code = '[us]' AND n.gender = 'f' AND ci.role_id = rt.id AND n.id = ci.person_id AND mi.movie_id = mc.movie_id | job |
SELECT s_name, s_address FROM supplier, nation WHERE s_nationkey = n_nationkey AND s_suppkey IN ( SELECT ps_suppkey FROM partsupp WHERE ps_partkey IN ( SELECT p_partkey FROM part WHERE p_name LIKE 1 ) AND ps_availqty > ( SELECT 0.5 * SUM(l_quantity) FROM lineitem WHERE l_partkey = ps_partkey AND l_suppkey = ps_suppkey AND l_shipdate >= DATE 1 AND l_shipdate < DATE 1 + INTERVAL '1' YEAR ) ) AND n_name = 1 ORDER BY s_name LIMIT 50; | tpch |
Select Min(t.title) As movie_title From company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, title As t Where mk.keyword_id = k.id AND k.keyword ='character-name-In-title' AND mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND cn.country_code ='[nl]' AND t.id = mk.movie_id | job |
SELECT l_orderkey, o_orderdate, o_shippriority, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem WHERE o_orderdate < DATE 1 AND c_custkey = o_custkey AND l_shipdate > DATE 1 AND c_mktsegment = 1 AND l_orderkey = o_orderkey GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue ASC, o_orderdate LIMIT 10 | tpch |
Select c_count, Count(*) As custdist From ( Select c_custkey, Count(o_orderkey) As c_count From customer LEFT OUTER JOIN orders On c_custkey = o_custkey And o_comment Not Like 1 Group By c_custkey ) As c_orders Group By c_count Order By custdist Desc, c_count Desc | tpch |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND cn.country_code ='[de]' AND cn.id = mc.company_id AND mk.keyword_id = k.id AND k.keyword ='character-name-in-title' | 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 mi_idx.info > '8.0' AND it.info ='rating' AND t.production_year >= 2000 AND t.production_year <= 2005 AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = pl.PostId AND p.Id = v.PostId AND p.Id = c.PostId AND pl.LinkTypeId = 1 AND p.FavoriteCount >= 0 AND p.Id = ph.PostId AND c.Score = 0 | stats |
select count(*) as custdist, c_count from ( select c_custkey, count(o_orderkey) as c_count from customer left outer join orders on c_custkey = o_custkey and o_comment not like 1 group by c_custkey ) as c_orders group by c_count order by custdist desc, c_count desc LIMIT 200; | tpch |
select min(mc.note) as production_note, min(t.title) as movie_title, min(t.production_year) as movie_year from company_type as ct, info_type as it, movie_companies as mc, movie_info_idx as mi_idx, title as t where mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' and ct.id = mc.company_type_id and t.id = mi_idx.movie_id and ct.kind = 'production companies' and t.id = mc.movie_id and (mc.note like '%(co-production)%' or mc.note like '%(presents)%') and mc.movie_id = mi_idx.movie_id and it.id = mi_idx.info_type_id and it.info = 'top 250 rank' | job |
SELECT i_item_desc, AVG(cs_quantity) AS catalog_sales_quantityave, i_item_id, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, s_state, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, COUNT(sr_return_quantity) AS store_returns_quantitycount, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d2.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') AND d1.d_quarter_name = '2000Q1' AND d3.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
select min(t.title) as movie_title from company_name as cn, keyword as k, movie_companies as mc, movie_keyword as mk, title as t where t.id = mk.movie_id AND mc.movie_id = t.id AND k.keyword ='character-name-in-title' AND cn.country_code ='[de]' AND mk.keyword_id = k.id AND cn.id = mc.company_id AND mc.movie_id = mk.movie_id | job |
SELECT s_store_id, SUM(cs_quantity) AS catalog_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, i_item_desc, SUM(ss_quantity) AS store_sales_quantity, i_item_id, 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 d1.d_year = 2000 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d2.d_year = 2000 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d3.d_year = 2000 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT 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 it2.id = mi_idx.info_type_id AND mi_idx.info < '7.0' AND kt.kind IN ('movie', 'episode') AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND cn.country_code != '[us]' AND t.id = mk.movie_id AND t.production_year > 2008 AND cn.id = mc.company_id AND kt.id = t.kind_id AND mi.movie_id = mc.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND t.id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND it2.info = 'rating' AND mk.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mc.note LIKE '%(200%)%' AND ct.id = mc.company_type_id AND it1.info = 'countries' AND t.id = mc.movie_id | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE t.id = mc.movie_id AND at.movie_id = mc.movie_id AND kt.kind = 'movie' AND kt.id = t.kind_id AND t.id = mi.movie_id AND cn.country_code = '[us]' AND at.movie_id = mi.movie_id AND at.movie_id = mi_idx.movie_id AND t.production_year > 2000 AND mi_idx.movie_id = mc.movie_id AND at.title LIKE '%Champion%' AND cn.id = mc.company_id AND it1.id = mi_idx.info_type_id AND mi.movie_id = mi_idx.movie_id AND it1.info = 'rating' AND mi.info LIKE 'USA:%200%' AND t.id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.info < '3.5' AND it2.info = 'release dates' AND t.id = at.movie_id AND it2.id = mi.info_type_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 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_suppkey = l_suppkey AND p_type = 1 ) AS all_nations AND o_custkey = c_custkey AND n1.n_regionkey = r_regionkey AND s_nationkey = n2.n_nationkey AND r_name = 1 GROUP BY o_year ORDER BY o_year | tpch |
SELECT MAX(cn.name) AS from_company, MAX(lt.link) AS link_type, MAX(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE mi.info LIKE 'USA:% 199%' AND k.id = mk.keyword_id AND ml.movie_id = mk.movie_id AND lt.id = ml.link_type_id AND ml.movie_id = mi.movie_id AND it.info = 'release dates' AND it.id = mi.info_type_id AND mi.note LIKE '%internet%' AND mc.note LIKE '%(USA)%' AND cn.id = mc.company_id AND mk.movie_id = mc.movie_id AND t.id = mc.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mi.movie_id = t.id AND cn.country_code = '[us]' AND t.id = ml.movie_id AND lt.link LIKE '%follow%' AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.production_year > 1950 AND ml.movie_id = mc.movie_id AND t.id = mk.movie_id | job |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND n.id = ci.person_id AND t.id = mk.movie_id AND ci.movie_id = t.id AND ci.movie_id = mk.movie_id AND k.keyword = 'character-name-in-title' AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND mc.company_id = cn.id AND t.episode_nr >= 50 AND t.id = mc.movie_id AND t.episode_nr < 100 AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND an.person_id = n.id | job |
WITH _q AS ( SELECT i_item_desc, i_category, i_class, i_current_price, i_item_id, SUM(ss_ext_sales_price) AS itemrevenue, SUM(ss_ext_sales_price) * 100 / SUM(SUM(ss_ext_sales_price)) OVER (PARTITION BY i_class) AS revenueratio FROM store_sales JOIN item ON ss_item_sk = i_item_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE i_category = ANY(ARRAY['Jewelry', 'Shoes', 'Jewelry']) AND d_date BETWEEN CAST('2002-01-23' AS DATE) AND (CAST('2002-01-23' AS DATE) + INTERVAL '30 days') GROUP BY i_item_id, i_item_desc, i_category, i_class, i_current_price ORDER BY i_category, i_class, i_item_id, i_item_desc, revenueratio LIMIT 100 ) SELECT * FROM _q; | tpcds |
Select Min(n.name) As voicing_actress, Min(t.title) As voiced_movie From aka_name As an, char_name As chn, cast_info As ci, company_name As cn, info_type As it, movie_companies As mc, movie_info As mi, name As n, role_type As rt, title As t Where cn.country_code = '[us]' AND ci.role_id = rt.id AND ci.note In ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = ci.movie_id AND t.id = mc.movie_id AND mc.note Like '%(USA)%' AND mi.movie_id = ci.movie_id AND chn.id = ci.person_role_id AND it.info = 'release dates' AND it.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND n.gender = 'f' AND rt.role = 'actress' AND n.id = ci.person_id AND an.person_id = n.id AND t.production_year > 2000 AND ci.movie_id = mc.movie_id AND t.id = mi.movie_id AND cn.id = mc.company_id AND ci.person_id = an.person_id LIMIT 20; | 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_type LIKE 1 AND s_nationkey = n_nationkey AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_size = 1 AND n_regionkey = r_regionkey AND r_name = 1 AND p_partkey = ps_partkey AND s_suppkey = ps_suppkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE ci.movie_id = mc.movie_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND t.episode_nr < 100 AND an.person_id = ci.person_id AND t.id = mk.movie_id AND k.keyword = 'character-name-in-title' AND an.person_id = n.id AND t.episode_nr >= 50 AND mk.keyword_id = k.id AND n.id = ci.person_id AND mc.movie_id = mk.movie_id AND cn.country_code = '[us]' AND ci.movie_id = mk.movie_id AND mc.company_id = cn.id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.Id = c.PostId AND u.Id = p.OwnerUserId AND p.AnswerCount >= 0 AND p.PostTypeId = 1 AND p.Id = pl.PostId AND p.Id = ph.PostId AND p.Id = v.PostId | stats |
SELECT MIN(t.title) AS western_violent_movie, MIN(mi_idx.info) AS rating, MIN(cn.name) AS movie_company FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE kt.id = t.kind_id AND t.id = mi.movie_id AND cn.id = mc.company_id AND it2.info = 'rating' AND t.production_year > 2008 AND mi.movie_id = mc.movie_id AND k.keyword = ANY(ARRAY['murder', 'murder-in-title', 'blood', 'violence']) AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it1.info = 'countries' AND mi.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(USA)%' AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND mc.movie_id = mi_idx.movie_id AND mk.movie_id = mi_idx.movie_id AND cn.country_code != '[us]' AND mk.movie_id = mc.movie_id AND t.id = mc.movie_id AND it2.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND mc.note LIKE '%(200%)%' AND kt.kind IN ('movie', 'episode') AND mk.movie_id = mi.movie_id AND mi_idx.info < '7.0' AND t.id = mk.movie_id AND ct.id = mc.company_type_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 mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi_idx.info_type_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 ct.kind = 'production companies' AND mc.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 it.id = mi_idx.info_type_id AND t.production_year BETWEEN 2000 AND 2005 AND mi_idx.info > '8.0' AND t.id = mi_idx.movie_id ) SELECT * FROM _q; | job |
Select Count(1) 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 = v.PostId AND p.Id = ph.PostId AND c.Score = 0 AND p.Id = c.PostId AND p.FavoriteCount >= 0 | stats |
select avg(ss_list_price) as agg2, avg(ss_quantity) as agg1, i_item_id, avg(ss_coupon_amt) as agg3, avg(ss_sales_price) as agg4 from store_sales inner join customer_demographics on ss_cdemo_sk = cd_demo_sk inner join date_dim on ss_sold_date_sk = d_date_sk inner join item on ss_item_sk = i_item_sk inner 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 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_year = 2002 AND d1.d_year = 2002 AND d2.d_year = 2002 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d1.d_moy BETWEEN 5 AND 5 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 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 d_moy = 5 ) AS all_sales AND d_year = 2002 AND i_category = 'Home' AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND i_category = 'Home' AND s_gmt_offset = -6 AND ca_gmt_offset = -6 AND d_year = 2002 AND s_gmt_offset = -6 AND d_moy = 5 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -6 ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT c_first_name, bought_city, c_last_name, ca_city, list_price, extended_tax, extended_price, 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 JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE d_year IN (2000, 2002, 2001) AND s_city IN ('Clinton', 'Oak Grove') AND (hd_dep_count = 5 OR hd_vehicle_count = 0) AND d_dow IN (6, 0) GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE o_orderkey = l_orderkey AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) AND l_shipdate < l_commitdate GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 200; | tpch |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'character-name-IN-title' AND t.episode_nr >= 50 AND t.episode_nr < 100 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; | job |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where k.id = mk.keyword_id AND t.id = mi.movie_id AND t.production_year > 2010 AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND mi.info In ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.keyword Like '%sequel%' | job |
SELECT i_item_desc, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, i_item_id, s_state, AVG(ss_quantity) AS store_sales_quantityave, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, COUNT(cs_quantity) AS catalog_sales_quantitycount FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '1999Q2' AND d2.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') AND d3.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
Select 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 r_name = 1 And o_orderdate Between DATE '1995-01-01' And DATE '1996-12-31' And s_suppkey = l_suppkey And l_orderkey = o_orderkey And c_nationkey = n1.n_nationkey And n1.n_regionkey = r_regionkey And p_type = 1 ) As all_nations And o_custkey = c_custkey And s_nationkey = n2.n_nationkey Group By o_year Order By o_year | tpch |
SELECT COUNT(1) FROM comments AS c, postHistory AS ph, badges AS b, votes AS v, users AS u WHERE b.UserId = ph.UserId AND ph.UserId = v.UserId AND u.Id = b.UserId AND u.UpVotes = 0 AND v.UserId = c.UserId AND ph.PostHistoryTypeId = 12 | stats |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND it.info = 'bottom 10 rank' AND ct.kind = 'production companies' AND it.id = mi.info_type_id AND ct.id = mc.company_type_id AND t.id = mi.movie_id AND mc.movie_id = mi.movie_id | job |
SELECT SUM(ss_ext_sales_price) AS ext_price, i_manufact_id, i_brand AS brand, i_brand_id AS brand_id, i_manufact FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE i_manager_id = 12 AND d_year = 1999 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND d_moy = 11 GROUP BY i_brand, i_brand_id, i_manufact_id, i_manufact ORDER BY ext_price DESC, brand, brand_id, i_manufact_id, i_manufact LIMIT 100; | tpcds |
SELECT SUM(l_extendedprice * l_discount) AS revenue FROM lineitem WHERE l_quantity < 1 AND l_shipdate >= DATE 1 AND l_discount BETWEEN 1 - 0.01 AND 1 + 0.01 AND l_shipdate < DATE 1 + INTERVAL '1' YEAR LIMIT 100; | tpch |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE s_suppkey = l_suppkey AND p_partkey = l_partkey AND o_custkey = c_custkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND r_name = 1 AND s_nationkey = n2.n_nationkey AND n1.n_regionkey = r_regionkey AND c_nationkey = n1.n_nationkey AND l_orderkey = o_orderkey AND p_type = 1 ) AS all_nations GROUP BY o_year ORDER BY o_year | tpch |
SELECT MIN(t.title) AS voiced_movie, MIN(n.name) AS voicing_actress FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE mi.movie_id = mc.movie_id AND cn.country_code = '[us]' AND n.id = ci.person_id AND cn.id = mc.company_id AND t.id = mi.movie_id AND rt.role = 'actress' AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND ci.movie_id = mc.movie_id AND ci.role_id = rt.id AND t.id = mc.movie_id AND t.production_year > 2000 AND t.id = ci.movie_id AND n.gender = 'f' AND mc.note LIKE '%(USA)%' AND mi.movie_id = ci.movie_id AND it.id = mi.info_type_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND it.info = 'release dates' AND an.person_id = n.id | job |
SELECT o_orderkey, SUM(l_quantity), o_totalprice, c_custkey, c_name, o_orderdate 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(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE n.id = ci.person_id AND an.person_id = ci.person_id AND mc.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND k.keyword = 'character-name-in-title' AND mk.keyword_id = k.id AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND mc.company_id = cn.id AND t.episode_nr >= 50 AND an.person_id = n.id AND ci.movie_id = t.id AND t.id = mc.movie_id AND cn.country_code = '[us]' AND t.episode_nr < 100 | job |
select count(1) from comments as c, posts as p, users as u where u.Id = p.OwnerUserId AND p.ViewCount >= 0 AND c.UserId = u.Id AND p.FavoriteCount >= 0 AND c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND p.CommentCount >= 0 | stats |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, movie_info_idx AS mi_idx, title AS t WHERE it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND it.info ='rating' AND t.production_year <= 2010 AND t.production_year >= 2000 AND mi_idx.info > '7.0' | 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 l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_nationkey = n1.n_nationkey AND c_custkey = o_custkey AND c_nationkey = n2.n_nationkey AND o_orderkey = l_orderkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND s_suppkey = l_suppkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT i_current_price, i_item_id, i_item_desc FROM item JOIN inventory ON i_item_sk = inv_item_sk JOIN date_dim ON d_date_sk = inv_date_sk JOIN store_sales ON ss_item_sk = i_item_sk WHERE i_current_price BETWEEN 91 AND 91 + 30 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_manufact_id IN (438, 38, 405, 276) GROUP BY i_item_id, i_item_desc, i_current_price ORDER BY i_item_id LIMIT 100; | tpcds |
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 d1.d_year = 2001 AND d3.d_year = 2001 AND d1.d_moy = 3 AND d3.d_moy >= 3 AND d3.d_moy <= 3 + 3 AND d2.d_moy BETWEEN 3 AND 3 + 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(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.production_year > 2000 AND chn.id = ci.person_role_id AND ci.role_id = rt.id AND ci.movie_id = mc.movie_id AND n.gender = 'f' AND it.id = mi.info_type_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = mc.movie_id AND rt.role = 'actress' AND n.id = ci.person_id AND it.info = 'release dates' AND ci.person_id = an.person_id AND cn.id = mc.company_id AND mc.note LIKE '%(USA)%' AND t.id = mi.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = ci.movie_id AND an.person_id = n.id AND cn.country_code = '[us]' AND t.id = ci.movie_id | job |
SELECT l_linestatus, l_returnflag, AVG(l_extendedprice) AS avg_price, SUM(l_quantity) AS sum_qty, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice) AS sum_base_price, AVG(l_discount) AS avg_disc, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, COUNT(*) AS count_order 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 s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND p_size = 1 AND p_type LIKE 1 AND n_regionkey = r_regionkey AND r_name = 1 AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey 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 |
WITH year_total AS ( SELECT c_preferred_cust_flag AS customer_preferred_cust_flag, c_customer_id AS customer_id, d_year AS dyear, 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_login AS customer_login, 's' AS sale_type, c_first_name AS customer_first_name, 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 supp_nation, cust_nation, l_year, Sum(volume) As revenue From ( Select n1.n_name As supp_nation, n2.n_name As cust_nation, EXTRACT(YEAR From l_shipdate) As l_year, l_extendedprice * (1 - l_discount) As volume From supplier, lineitem, orders, customer, nation n1, nation n2 Where s_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey AND ( (n1.n_name = 1 And n2.n_name = 1) Or (n1.n_name = 1 And n2.n_name = 1) ) AND o_orderkey = l_orderkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) As shipping AND c_nationkey = n2.n_nationkey AND c_custkey = o_custkey Group By supp_nation, cust_nation, l_year Order By supp_nation, cust_nation, l_year | tpch |
SELECT AVG(ss_sales_price) AS agg4, AVG(ss_coupon_amt) AS agg3, AVG(ss_quantity) AS agg1, i_item_id, 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_marital_status = 'W' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'F' AND d_year = 2000 AND cd_education_status = 'Secondary' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE t.id = mk.movie_id AND k.keyword = 'character-name-in-title' AND mc.company_id = cn.id AND ci.movie_id = mk.movie_id AND ci.movie_id = t.id AND n.id = ci.person_id AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND t.episode_nr >= 50 AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND t.id = mc.movie_id AND t.episode_nr < 100 AND an.person_id = n.id | job |
Select Sum(cs_sales_price), ca_zip From catalog_sales Join customer On cs_bill_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join date_dim On cs_sold_date_sk = d_date_sk Where (SUBSTR(ca_zip, 1, 5) In ( '85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792' ) Or ca_state In ('CA', 'WA', 'NC') Or cs_sales_price > 339) And d_qoy = 3 And d_year = 2002 Group By ca_zip Order By ca_zip; | tpcds |
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 s_nationkey = n2.n_nationkey AND c_nationkey = n1.n_nationkey AND r_name = 1 AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND l_orderkey = o_orderkey AND o_custkey = c_custkey AND p_type = 1 ) AS all_nations AND s_suppkey = l_suppkey GROUP BY o_year ORDER BY o_year | 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 c.Score = 0 AND p.Id = c.PostId AND p.Id = pl.RelatedPostId AND b.UserId = c.UserId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 | stats |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE t.id = mi.movie_id AND ci.movie_id = mc.movie_id AND n.id = ci.person_id AND n.gender = 'f' AND cn.country_code = '[us]' AND mi.movie_id = mc.movie_id AND t.id = ci.movie_id AND t.production_year > 2000 AND rt.role = 'actress' AND t.id = mc.movie_id AND mi.movie_id = ci.movie_id AND an.person_id = n.id AND mc.note LIKE '%(USA)%' AND cn.id = mc.company_id AND chn.id = ci.person_role_id AND ci.role_id = rt.id AND ci.person_id = an.person_id AND it.info = 'release dates' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND it.id = mi.info_type_id | job |
Select Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v, badges As b Where p.Id = pl.RelatedPostId AND p.Id = c.PostId AND pl.LinkTypeId = 1 AND p.Id = v.PostId AND b.UserId = c.UserId AND p.Id = ph.PostId AND c.Score = 0 | stats |
select cc_manager as manager, cc_call_center_id as call_center, cc_name as call_center_name, 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 ( (cd_marital_status = 'S' and cd_education_status = '2 yr Degree') or (hd_buy_potential like '1001-5000%' and ca_gmt_offset = -5) ) and ca_gmt_offset = -5 and d_year = 2001 and d_moy = 12 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 c_last_name, ca_city, ss_ticket_number, extended_tax, list_price, c_first_name, extended_price, bought_city FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 5 OR hd_vehicle_count = 0) AND d_dow IN (6, 0) AND d_year IN (1999, 2002, 2003) AND s_city IN ('Clinton', 'Oak Grove') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.name LIKE '%Downey%Robert%' AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.production_year > 2010 AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND k.id = mk.keyword_id AND n.id = ci.person_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 ci.note LIKE '%(voice)%' AND cn.id = mc.company_id AND t.id = ci.movie_id AND ct.id = mc.company_type_id AND rt.role = 'actor' AND ci.movie_id = mc.movie_id AND cn.country_code = '[ru]' AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND t.id = mc.movie_id AND ci.note LIKE '%(uncredited)%' AND t.production_year > 2005 | job |
SELECT p_size, p_brand, p_type, 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 p_type NOT LIKE 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 | tpch |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = c.PostId AND p.Id = pl.PostId AND p.Id = v.PostId AND c.Score = 0 AND p.Id = ph.PostId AND pl.LinkTypeId = 1 AND p.FavoriteCount >= 0 ) SELECT * FROM _q; | stats |
SELECT ss_ticket_number, c_preferred_cust_flag, c_last_name, c_salutation, c_first_name, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_dom BETWEEN 1 AND 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND d_year IN (1999, 2001, 2002) AND s_county IN ('Williamson County', 'Daviess County', 'Oglethorpe County', 'Maricopa County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT SUM(l_quantity) AS sum_qty, COUNT(DISTINCT l_returnflag) AS count_order, l_linestatus, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_extendedprice) AS sum_base_price, l_returnflag, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_quantity) AS avg_qty, AVG(l_discount) AS avg_disc FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT 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.movie_id = mc.movie_id AND t.id = mc.movie_id AND an.person_id = n.id AND cn.id = mc.company_id AND chn.id = ci.person_role_id AND t.production_year > 2000 AND ci.role_id = rt.id AND it.id = mi.info_type_id AND mi.movie_id = ci.movie_id AND t.id = ci.movie_id AND n.id = ci.person_id AND ci.person_id = an.person_id AND mi.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND cn.country_code = '[us]' AND n.gender = 'f' AND rt.role = 'actress' AND it.info = 'release dates' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = mi.movie_id | job |
Select Sum(ss_ext_sales_price) As ext_price, i_brand As brand, i_brand_id As brand_id From date_dim Join store_sales On d_date_sk = ss_sold_date_sk Join item On ss_item_sk = i_item_sk Where d_year = 2001 And i_manager_id = 13 And d_moy = 12 Group By i_brand, i_brand_id Order By ext_price Desc, brand_id Limit 100; | tpcds |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE t.episode_nr >= 50 AND t.id = mk.movie_id AND t.episode_nr < 100 AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND ci.movie_id = t.id AND k.keyword = 'character-name-in-title' AND mc.company_id = cn.id AND mk.keyword_id = k.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND mc.movie_id = mk.movie_id AND an.person_id = n.id AND cn.country_code = '[us]' AND t.id = mc.movie_id | 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 = -7 AND i_category = 'Electronics' AND d_moy = 9 ) AS all_sales AND d_year = 1998 AND d_year = 1998 AND ca_gmt_offset = -7 AND d_moy = 9 ) 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 (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -7 AND i_category = 'Electronics' ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT c_last_name, c_first_name, ca_city, bought_city, ss_ticket_number, extended_price, extended_tax, list_price FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE d_year IN (2001, 2000, 2001) AND d_dow IN (6, 0) AND (hd_dep_count = 4 OR hd_vehicle_count = 4) AND s_city IN ('Clinton', 'Glendale') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city != bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[us]' AND t.id = mi_idx.movie_id AND t.production_year > 2008 AND t.id = mc.movie_id AND mi.movie_id = mc.movie_id AND mk.movie_id = mi.movie_id AND mc.note LIKE '%(200%)%' AND k.id = mk.keyword_id AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND it1.id = mi.info_type_id AND mk.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(USA)%' AND it2.info = 'rating' AND it2.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND cn.id = mc.company_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND kt.kind IN ('movie', 'episode') AND it1.info = 'countries' AND mi_idx.info < '7.0' AND mi.movie_id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-IN-title', 'blood', 'violence') LIMIT 500; | job |
select l_linestatus, sum(l_quantity) as sum_qty, avg(l_discount) as avg_disc, avg(l_quantity) as avg_qty, l_returnflag, sum(l_extendedprice * (1 - l_discount)) as sum_disc_price, sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) as sum_charge, count(*) as count_order, sum(l_extendedprice) as sum_base_price, 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 |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_receiptdate >= DATE 1 AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND o_orderkey = l_orderkey AND l_shipmode IN (1, 1) AND l_commitdate < l_receiptdate AND l_shipdate < l_commitdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
Select Count(*) As count_order, Sum(l_extendedprice * (1 - l_discount)) As sum_disc_price, Avg(l_extendedprice) As avg_price, Sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) As sum_charge, l_linestatus, Avg(l_quantity) As avg_qty, Sum(l_extendedprice) As sum_base_price, Avg(l_discount) As avg_disc, Sum(l_quantity) As sum_qty, l_returnflag 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 AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(sr_return_quantity) AS store_returns_quantitycount, s_state, i_item_desc, COUNT(ss_quantity) AS store_sales_quantitycount, i_item_id FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '2001Q1' AND d2.d_quarter_name IN ('2001Q1', '2002Q2', '1999Q4') AND d3.d_quarter_name IN ('2001Q1', '2002Q2', '1999Q4') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_comment FROM customer, orders, lineitem, nation WHERE l_returnflag = 'R' AND c_nationkey = n_nationkey AND o_orderdate >= DATE 1 AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND c_custkey = o_custkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE an.person_id = n.id AND cn.id = mc.company_id AND t.id = mi.movie_id AND rt.role = 'actress' AND t.production_year > 2000 AND mi.movie_id = mc.movie_id AND n.gender = 'f' AND ci.movie_id = mc.movie_id AND ci.role_id = rt.id AND mi.movie_id = ci.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = ci.movie_id AND it.info = 'release dates' AND chn.id = ci.person_role_id AND mc.note LIKE '%(USA)%' AND cn.country_code = '[us]' AND ci.person_id = an.person_id AND t.id = mc.movie_id AND n.id = ci.person_id AND it.id = mi.info_type_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 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 r_name = 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND p_size = 1 AND p_partkey = ps_partkey AND p_type LIKE 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | 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 t.production_year > 2005 AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND rt.role = 'actor' AND t.id = ci.movie_id AND chn.id = ci.person_role_id AND cn.country_code = '[ru]' AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND rt.id = ci.role_id AND ci.note LIKE '%(voice)%' AND ci.note LIKE '%(uncredited)%' | job |
SELECT w_state, SUM(CASE WHEN (CAST(d_date AS DATE) < CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_before, i_item_id, SUM(CASE WHEN (CAST(d_date AS DATE) >= CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_after FROM catalog_sales LEFT JOIN catalog_returns ON cs_order_number = cr_order_number AND cs_item_sk = cr_item_sk JOIN warehouse ON cs_warehouse_sk = w_warehouse_sk JOIN item ON i_item_sk = cs_item_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk WHERE i_current_price >= 93.37 AND d_date BETWEEN (CAST('2000-03-11' AS DATE) - INTERVAL '30 days') AND (CAST('2000-03-11' AS DATE) + INTERVAL '30 days') AND i_current_price <= 93.37 + 1.49 GROUP BY w_state, i_item_id ORDER BY w_state, i_item_id LIMIT 100; | tpcds |
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 s_suppkey = l_suppkey AND c_custkey = o_custkey AND c_nationkey = n2.n_nationkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_nationkey = n1.n_nationkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year LIMIT 200; | tpch |
select sum(l_extendedprice * (1 - l_discount)) as revenue, n_name from customer, orders, lineitem, supplier, nation, region where o_orderdate < DATE 1 + INTERVAL '1' YEAR AND r_name = 1 AND c_nationkey = s_nationkey AND n_regionkey = r_regionkey AND o_orderdate >= DATE 1 AND s_nationkey = n_nationkey AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND l_suppkey = s_suppkey group by n_name order by revenue desc | 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 d_year = 1998 AND ca_gmt_offset = -7 AND s_gmt_offset = -7 AND i_category = 'Music' AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_year = 1998 AND i_category = 'Music' AND s_gmt_offset = -7 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 d_moy = 8 ) AS all_sales ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE o_orderdate >= DATE 1 AND n_regionkey = r_regionkey AND c_nationkey = s_nationkey AND s_nationkey = n_nationkey AND l_suppkey = s_suppkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND r_name = 1 AND l_orderkey = o_orderkey AND c_custkey = o_custkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT extended_tax, bought_city, extended_price, list_price, ca_city, c_first_name, 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 JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 6 OR hd_vehicle_count = 2) AND d_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 JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city != bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT MIN(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 kt.id = t.kind_id AND it2.id = mi.info_type_id AND it2.info = 'release dates' AND kt.kind = 'movie' AND ct.kind = 'production companies' AND cn.id = mc.company_id AND miidx.movie_id = t.id AND mc.movie_id = t.id AND miidx.movie_id = mc.movie_id AND cn.country_code = '[de]' AND it.id = miidx.info_type_id AND mi.movie_id = mc.movie_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = t.id AND it.info = 'rating' AND ct.id = mc.company_type_id | job |
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 p.Id = pl.RelatedPostId AND c.Score = 0 AND pl.LinkTypeId = 1 AND p.Id = ph.PostId AND p.Id = c.PostId AND b.UserId = c.UserId LIMIT 20; | stats |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE 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_orderkey = l1.l_orderkey AND s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' AND s_nationkey = n_nationkey AND n_name = 1 GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German']) AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND k.keyword LIKE '%sequel%' AND t.production_year > 2000 | 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 n1.id = ci.person_id AND mc.note NOT LIKE '%(USA)%' AND mc.company_id = cn.id AND ci.movie_id = t.id AND an1.person_id = ci.person_id AND ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND mc.note LIKE '%(Japan)%' AND n1.name NOT LIKE '%Yu%' AND ci.role_id = rt.id AND n1.name LIKE '%Yo%' AND an1.person_id = n1.id | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey != l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey != l1.l_suppkey ) AND l1.l_receiptdate > l1.l_commitdate AND s_nationkey = n_nationkey AND s_suppkey = l1.l_suppkey AND n_name = 1 AND o_orderstatus = 'F' AND o_orderkey = l1.l_orderkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
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