text stringlengths 84 1.49k | benchmark stringclasses 4
values |
|---|---|
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 ( (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 l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_nationkey = n1.n_nationkey AND c_nationkey = n2.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT COUNT(1) FROM postHistory AS ph, posts AS p, users AS u, badges AS b WHERE ph.PostHistoryTypeId = 3 AND u.Id = b.UserId AND u.Reputation >= 1 AND p.Score >= -7 AND p.OwnerUserId = u.Id AND ph.UserId = u.Id LIMIT 200; | stats |
Select total_revenue, s_phone, s_address, s_name, s_suppkey From supplier, revenue0 Where s_suppkey = supplier_no And total_revenue = ( Select Max(total_revenue) From revenue0 ) Order By s_suppkey | tpch |
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 d_year IN (2001, 2002, 2003) AND s_county IN ('Bronz County', 'Barrow County', 'Jackson County') AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.37 AND hd_vehicle_count > 0 AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) 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; | 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 = 2000 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d3.d_year = 2000 AND d1.d_moy = 5 AND d1.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 |
WITH _q AS ( Select o_orderpriority, Count(*) As order_count From orders Where Exists ( Select * From lineitem Where l_orderkey = o_orderkey And l_commitdate < l_receiptdate ) And o_orderdate >= DATE 1 And o_orderdate < DATE 1 + INTERVAL '3' MONTH Group By o_orderpriority Order By o_orderpriority ) SELECT * FROM _q; | tpch |
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 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) > 1.79 and d_year = ANY(ARRAY[2000, 2002, 2003]) and s_county in ('Bronz County', 'Daviess County', 'Maricopa 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(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 miidx.movie_id = t.id AND mi.movie_id = miidx.movie_id AND it.id = miidx.info_type_id AND mi.movie_id = t.id AND kt.kind = 'movie' AND it2.info = 'release dates' AND cn.country_code = '[de]' AND it2.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = mc.movie_id AND it.info = 'rating' AND ct.kind = 'production companies' AND kt.id = t.kind_id | job |
Select Count(*) From comments As c, postHistory As ph, badges As b, votes As v, users As u Where u.Id = b.UserId AND u.UpVotes = 0 AND b.UserId = ph.UserId AND v.UserId = c.UserId AND ph.PostHistoryTypeId = 12 AND ph.UserId = v.UserId | stats |
Select Count(*) From comments As c, badges As b Where c.UserId = b.UserId And c.Score = 0 And b.Date <= '2014-09-11 14:33:06'::timestamp Limit 500; | stats |
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 mk.movie_id = ci.movie_id AND an.person_id = n.id AND k.id = mk.keyword_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND cn.country_code = '[jp]' AND cn.id = mc.company_id AND ci.movie_id = mc.movie_id AND k.keyword = 'anime' AND mk.movie_id = mc.movie_id AND t.id = ci.movie_id AND t.production_year > 1990 AND t.id = mk.movie_id AND n.id = ci.person_id AND mc.note LIKE '%(Japan)%' AND rt.role = 'actress' AND ci.person_id = an.person_id AND ct.id = mc.company_type_id AND ci.role_id = rt.id AND n.gender = 'f' AND ci.note LIKE '%(voice: English version)%' | job |
SELECT i_item_id, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, COUNT(sr_return_quantity) AS store_returns_quantitycount, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, i_item_desc, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, s_state, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, AVG(ss_quantity) AS store_sales_quantityave, COUNT(ss_quantity) AS store_sales_quantitycount FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '2000Q1' AND d2.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') AND d3.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE mi_idx.info < '3.5' AND it1.id = mi_idx.info_type_id AND at.movie_id = mi.movie_id AND at.movie_id = mc.movie_id AND t.id = at.movie_id AND it2.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND mi.info LIKE 'USA:%200%' AND it2.info = 'release dates' AND at.title LIKE '%Champion%' AND t.id = mc.movie_id AND kt.id = t.kind_id AND it1.info = 'rating' AND cn.country_code = '[us]' AND cn.id = mc.company_id AND t.id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND at.movie_id = mi_idx.movie_id AND t.production_year > 2000 AND kt.kind = 'movie' AND mi_idx.movie_id = mc.movie_id AND t.id = mi.movie_id | job |
select count(1) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, badges as b, users as u where p.Id = ph.PostId AND p.Id = c.PostId AND p.Id = pl.RelatedPostId AND c.UserId = u.Id AND b.UserId = u.Id AND pl.LinkTypeId = 1 AND p.Id = v.PostId AND p.Score <= 40 | stats |
SELECT SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, COUNT(*) AS count_order, AVG(l_discount) AS avg_disc, l_returnflag, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice) AS sum_base_price, AVG(l_quantity) AS avg_qty, SUM(l_quantity) AS sum_qty, l_linestatus 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 MAX(ss_net_profit) AS store_sales_profit, MAX(cs_net_profit) AS catalog_sales_profit, i_item_id, s_store_id, MAX(sr_net_loss) AS store_returns_loss, i_item_desc, s_store_name 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 3 AND 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 min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where mk.movie_id = mi.movie_id and k.keyword like '%sequel%' and mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') and t.id = mk.movie_id and k.id = mk.keyword_id and t.id = mi.movie_id and t.production_year > 2000 | job |
SELECT n_name, s_phone, p_partkey, p_mfgr, s_name, s_comment, s_address, s_acctbal 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 Count(*) From comments As c, postHistory As ph, votes As v, users As u Where ph.UserId = c.UserId AND v.UserId = ph.UserId AND u.Views >= 0 AND u.DownVotes >= 0 AND u.UpVotes <= 123 AND u.Id = v.UserId | stats |
SELECT AVG(ss_quantity), SUM(ss_ext_wholesale_cost), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ca_country = 'United States' AND ( (hd_dep_count = 3 AND hd_vehicle_count <= 3) OR (hd_dep_count = 2 AND hd_vehicle_count <= 2) OR (hd_dep_count = 4 AND hd_vehicle_count <= 5) ) AND s_market_id = 10 AND ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 78 AND 126) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 69 AND 117) OR (cd_marital_status = 'D' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 147 AND 164) ) AND d_year = 2002 AND ca_state IN ('OH', 'GA', 'NY') | tpcds |
SELECT COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, AVG(ss_quantity) AS store_sales_quantityave, i_item_id, i_item_desc, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, s_state, COUNT(ss_quantity) AS store_sales_quantitycount FROM store_sales INNER JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number INNER JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk INNER JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk INNER JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk INNER JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER 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 o_orderdate, o_shippriority, l_orderkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem WHERE o_orderdate < DATE 1 AND c_mktsegment = 1 AND l_orderkey = o_orderkey AND c_custkey = o_custkey AND l_shipdate > DATE 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | tpch |
SELECT c_salutation, ss_ticket_number, c_first_name, cnt, c_preferred_cust_flag, c_last_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') AND hd_vehicle_count > 0 AND d_dom BETWEEN 1 AND 2 AND d_year IN (1999, 2000, 2003) AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT MIN(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.info = 'countries' AND mc.movie_id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND mi.movie_id = mi_idx.movie_id AND mc.note LIKE '%(200%)%' AND mc.note NOT LIKE '%(USA)%' AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND it2.id = mi_idx.info_type_id AND cn.id = mc.company_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND t.production_year > 2008 AND t.id = mc.movie_id AND cn.country_code != '[us]' AND t.id = mi.movie_id AND ct.id = mc.company_type_id AND it2.info = 'rating' AND kt.kind IN ('movie', 'episode') AND kt.id = t.kind_id AND t.id = mi_idx.movie_id AND mi_idx.info < '7.0' AND it1.id = mi.info_type_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') | job |
SELECT AVG(l_discount) AS avg_disc, l_linestatus, SUM(l_quantity) AS sum_qty, AVG(l_quantity) AS avg_qty, l_returnflag, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice) AS sum_base_price, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge 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 c_salutation, c_last_name, c_first_name, ss_ticket_number, cnt, c_preferred_cust_flag FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_dom BETWEEN 1 AND 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND d_year IN (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 count(*) from comments as c, votes as v, badges as b, users as u where u.CreationDate >= '2010-07-20 01:27:29'::timestamp and u.Id = v.UserId and u.Id = b.UserId and u.Id = c.UserId and c.Score = 1 | stats |
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 pl.LinkTypeId = 1 AND p.Id = pl.RelatedPostId AND p.Id = v.PostId AND b.UserId = u.Id AND p.Id = ph.PostId AND p.Id = c.PostId AND c.UserId = u.Id AND p.Score <= 40 | stats |
SELECT c_last_name, extended_price, bought_city, list_price, ca_city, extended_tax, ss_ticket_number, c_first_name FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 5 OR hd_vehicle_count = 0) AND d_dow = ANY(ARRAY[6, 0]) AND s_city IN ('Clinton', 'Oak Grove') AND d_year IN (1999, 2002, 2003) GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city != bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
select min(t.title) as russian_movie, min(chn.name) as uncredited_voiced_character from char_name as chn, cast_info as ci, company_name as cn, company_type as ct, movie_companies as mc, role_type as rt, title as t where chn.id = ci.person_role_id and ct.id = mc.company_type_id and ci.movie_id = mc.movie_id and ci.note like '%(voice)%' and t.id = ci.movie_id and ci.note like '%(uncredited)%' and t.id = mc.movie_id and t.production_year > 2005 and rt.id = ci.role_id and cn.country_code = '[ru]' and rt.role = 'actor' and cn.id = mc.company_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 ml.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND t.id = mc.movie_id AND mi.info LIKE 'USA:% 199%' AND k.id = mk.keyword_id AND lt.id = ml.link_type_id AND it.info = 'release dates' AND cn.country_code = '[us]' AND mc.note LIKE '%(USA)%' AND mi.note LIKE '%internet%' AND it.id = mi.info_type_id AND t.production_year > 1950 AND t.id = mk.movie_id AND mi.movie_id = t.id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mk.movie_id = mc.movie_id AND lt.link LIKE '%follow%' AND ct.id = mc.company_type_id AND t.id = ml.movie_id AND ml.movie_id = mk.movie_id AND cn.id = mc.company_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 ci.movie_id = ml.linked_movie_id AND pi.note = 'Volker Boehm' AND lt.link = 'features' AND lt.id = ml.link_type_id AND ci.person_id = n.id AND n.id = an.person_id AND t.production_year BETWEEN 1980 AND 1995 AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND ml.linked_movie_id = t.id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND n.id = pi.person_id AND it.info = 'mini biography' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND an.person_id = ci.person_id AND t.id = ci.movie_id AND pi.person_id = ci.person_id | job |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_commitdate < l_receiptdate AND l_shipdate < l_commitdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) AND o_orderkey = l_orderkey AND l_receiptdate >= DATE 1 GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where k.id = mk.keyword_id AND mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.id = mk.movie_id AND t.id = mi.movie_id AND k.keyword Like '%sequel%' AND mk.movie_id = mi.movie_id AND t.production_year > 2005 | job |
With year_total As ( Select c_last_name As customer_last_name, d_year As dyear, c_email_address As customer_email_address, c_preferred_cust_flag As customer_preferred_cust_flag, 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_birth_country As customer_birth_country, c_customer_id As customer_id, c_first_name As customer_first_name From customer Join store_sales On c_customer_sk = ss_customer_sk Join date_dim On ss_sold_date_sk = d_date_sk Where d_year Between 2002 And 2002 + 1 Group By c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) Select t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address From year_total As t_s_firstyear Join year_total As t_s_secyear On t_s_firstyear.customer_id = t_s_secyear.customer_id Where t_s_firstyear.sale_type = 's' And t_s_secyear.sale_type = 's' And t_s_firstyear.dyear = 2002 And t_s_secyear.dyear = 2002 + 1 And t_s_firstyear.year_total > 0 And Case When t_s_firstyear.year_total > 0 Then t_s_secyear.year_total / t_s_firstyear.year_total Else NULL End > 1.0 Order By t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address Limit 100; | tpcds |
SELECT MIN(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 n.id = ci.person_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND n.name LIKE '%Hemsworth%Chris%' AND t.id = mk.movie_id | job |
SELECT p_brand, p_type, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_size FROM partsupp, part WHERE p_partkey = ps_partkey AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_type NOT LIKE 1 AND p_brand <> 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE it.id = mi.info_type_id AND ct.id = mc.company_type_id AND t.id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'bottom 10 rank' AND mc.movie_id = mi.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND ct.kind = 'production companies' | job |
Select Min(chn.name) As uncredited_voiced_character, Min(t.title) As russian_movie From char_name As chn, cast_info As ci, company_name As cn, company_type As ct, movie_companies As mc, role_type As rt, title As t Where cn.id = mc.company_id AND ci.movie_id = mc.movie_id AND rt.id = ci.role_id AND rt.role = 'actor' AND cn.country_code = '[ru]' AND ci.note Like '%(voice)%' AND ci.note Like '%(uncredited)%' AND chn.id = ci.person_role_id AND ct.id = mc.company_type_id AND t.id = ci.movie_id AND t.production_year > 2005 AND t.id = mc.movie_id | job |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE n.id = an.person_id AND it.info = 'mini biography' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND an.name LIKE '%a%' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND it.id = pi.info_type_id AND t.production_year BETWEEN 1980 AND 1995 AND lt.link = 'features' AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ml.linked_movie_id = t.id AND pi.note = 'Volker Boehm' AND t.id = ci.movie_id AND ci.movie_id = ml.linked_movie_id AND ci.person_id = n.id AND lt.id = ml.link_type_id AND n.id = pi.person_id AND pi.person_id = an.person_id LIMIT 200; | job |
SELECT SUM(ss_ext_wholesale_cost), AVG(ss_ext_wholesale_cost), AVG(ss_ext_sales_price), AVG(ss_quantity) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE s_market_id = 10 AND d_year = 2002 AND ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 78 AND 126) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 69 AND 117) OR (cd_marital_status = 'D' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 147 AND 164) ) AND ( (hd_dep_count = 3 AND hd_vehicle_count <= 3) OR (hd_dep_count = 2 AND hd_vehicle_count <= 2) OR (hd_dep_count = 4 AND hd_vehicle_count <= 5) ) AND ca_country = 'United States' AND ca_state IN ('OH', 'GA', 'NY') LIMIT 10; | tpcds |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE rt.role = 'actress' AND mc.note LIKE '%(Japan)%' AND n1.name NOT LIKE '%Yu%' AND cn.country_code = '[jp]' AND n1.id = ci.person_id AND an1.person_id = ci.person_id AND ci.movie_id = t.id AND ci.note = '(voice: English version)' AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND an1.person_id = n1.id AND n1.name LIKE '%Yo%' AND ci.movie_id = mc.movie_id AND ci.role_id = rt.id AND mc.company_id = cn.id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, users AS u WHERE c.UserId = u.Id AND u.Id = p.OwnerUserId AND c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND p.CommentCount >= 0 AND p.ViewCount >= 0 AND p.FavoriteCount >= 0 LIMIT 50; | stats |
WITH _q AS ( 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 n.id = ci.person_id ) SELECT * FROM _q AND ci.movie_id = mk.movie_id AND t.production_year > 2010 AND t.id = mk.movie_id AND t.id = ci.movie_id AND k.id = mk.keyword_id AND n.name LIKE '%Downey%Robert%' | job |
SELECT MIN(t.title) AS western_sequel, MIN(lt.link) AS link_type, MIN(cn.name) AS from_company FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE ml.movie_id = mk.movie_id AND mi.info LIKE 'USA:% 199%' AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND lt.id = ml.link_type_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND cn.country_code = '[us]' AND ml.movie_id = mi.movie_id AND t.id = mc.movie_id AND cn.id = mc.company_id AND mi.note LIKE '%internet%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND it.id = mi.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.production_year > 1950 AND mi.movie_id = t.id AND lt.link LIKE '%follow%' AND ct.id = mc.company_type_id AND it.info = 'release dates' AND mc.note LIKE '%(USA)%' AND t.id = ml.movie_id | job |
Select Count(1) From comments As c, posts As p, postLinks As pl Where p.CreationDate <= '2014-09-09 01:43:00'::timestamp And p.CreationDate >= '2010-07-23 07:27:31'::timestamp And p.Id = pl.PostId And c.UserId = p.OwnerUserId And p.CommentCount <= 18 | stats |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where t.id = mi.movie_id AND k.keyword like '%sequel%' AND t.production_year > 2005 AND t.id = mk.movie_id AND k.id = mk.keyword_id AND mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND mk.movie_id = mi.movie_id | job |
SELECT c_first_name, ss_ticket_number, c_last_name, c_preferred_cust_flag, c_salutation, 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 s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') AND d_year IN (1999, 2000, 2003) AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND d_dom BETWEEN 1 AND 2 GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT promotions, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100, total 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 d_moy = 8 ) AS all_sales AND d_year = 1998 AND s_gmt_offset = -7 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_year = 1998 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 i_category = 'Music' ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT c_salutation, c_first_name, cnt, c_last_name, c_preferred_cust_flag, ss_ticket_number FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_year IN (2000, 2002, 2001) AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND s_county IN ('Franklin County', 'Daviess County', 'Jackson County') AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.57 AND hd_vehicle_count > 0 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; | 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_type = 1 ) AS all_nations AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND n1.n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND p_partkey = l_partkey AND c_nationkey = n1.n_nationkey AND o_custkey = c_custkey AND s_suppkey = l_suppkey AND r_name = 1 AND s_nationkey = n2.n_nationkey GROUP BY o_year ORDER BY o_year LIMIT 10; | tpch |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE n.gender = 'f' AND cn.country_code = '[jp]' AND mk.movie_id = ci.movie_id AND ci.person_id = an.person_id AND t.id = ci.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND ci.note LIKE '%(voice: English version)%' AND ct.id = mc.company_type_id AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND an.person_id = n.id AND t.production_year > 1990 AND t.id = mc.movie_id AND t.id = mk.movie_id AND k.keyword = 'anime' AND n.id = ci.person_id AND ci.role_id = rt.id AND mc.note LIKE '%(Japan)%' AND mc.note NOT LIKE '%(USA)%' AND cn.id = mc.company_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 = mi_idx.movie_id AND t.production_year > 2000 AND mi_idx.info < '3.5' AND it1.id = mi_idx.info_type_id AND it2.id = mi.info_type_id AND mi_idx.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND at.movie_id = mc.movie_id AND t.id = mi.movie_id AND kt.kind = 'movie' AND at.movie_id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND cn.country_code = '[us]' AND it2.info = 'release dates' AND t.id = at.movie_id AND it1.info = 'rating' AND at.movie_id = mi.movie_id AND t.id = mc.movie_id AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND at.title LIKE '%Champion%' AND kt.id = t.kind_id | job |
select n_name, sum(l_extendedprice * (1 - l_discount)) as revenue from customer, orders, lineitem, supplier, nation, region where c_custkey = o_custkey AND l_suppkey = s_suppkey AND o_orderdate >= DATE 1 AND c_nationkey = s_nationkey AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND l_orderkey = o_orderkey AND r_name = 1 group by n_name order by revenue desc | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND n_name = 1 AND s_suppkey = l1.l_suppkey AND o_orderkey = l1.l_orderkey AND s_nationkey = n_nationkey AND l1.l_receiptdate > l1.l_commitdate AND o_orderstatus = 'F' GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE c_nationkey = n2.n_nationkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND c_custkey = o_custkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND s_nationkey = n1.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | 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 mc.movie_id = t.id AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND cn.country_code ='[sm]' AND mk.keyword_id = k.id AND k.keyword ='character-name-In-title' AND cn.id = mc.company_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 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 d_moy = 5 ) AS all_sales AND i_category = 'Home' AND s_gmt_offset = -6 AND ca_gmt_offset = -6 AND d_year = 2002 AND i_category = 'Home' AND d_year = 2002 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') 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 r_name = 1 AND l_suppkey = s_suppkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND s_nationkey = n_nationkey AND l_orderkey = o_orderkey AND c_nationkey = s_nationkey AND c_custkey = o_custkey AND n_regionkey = r_regionkey GROUP BY n_name ORDER BY revenue DESC | tpch |
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 p.Id = v.PostId AND p.AnswerCount >= 0 AND p.Id = ph.PostId AND p.PostTypeId = 1 AND p.Id = pl.PostId AND u.Id = p.OwnerUserId | stats |
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 l_orderkey = o_orderkey AND c_custkey = o_custkey AND c_nationkey = n_nationkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue ASC LIMIT 20 | 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_commitdate < l_receiptdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipdate < l_commitdate AND o_orderkey = l_orderkey AND l_receiptdate >= DATE 1 AND l_shipmode in (1, 1) group by l_shipmode order by l_shipmode | tpch |
Select nation, o_year, Sum(amount) As sum_profit From ( Select n_name As nation, EXTRACT(YEAR From o_orderdate) As o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity As amount From part, supplier, lineitem, partsupp, orders, nation Where ps_partkey = l_partkey And o_orderkey = l_orderkey And p_name Like 1 ) As profit And s_nationkey = n_nationkey And ps_suppkey = l_suppkey And s_suppkey = l_suppkey And p_partkey = l_partkey Group By nation, o_year Order By nation, o_year Desc | tpch |
SELECT MAX(ss_net_profit) AS store_sales_profit, i_item_desc, MAX(sr_net_loss) AS store_returns_loss, s_store_name, MAX(cs_net_profit) AS catalog_sales_profit, i_item_id, s_store_id FROM store_sales INNER JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number INNER JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk INNER JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk INNER JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk INNER JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk INNER JOIN store ON store_sales.ss_store_sk = store.s_store_sk INNER JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 5 AND 4 AND d1.d_year = 2000 AND d2.d_moy BETWEEN 5 AND 4 + 3 AND d2.d_year = 2000 AND d3.d_moy BETWEEN 5 AND 4 + 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(t.title) as movie_title from company_name as cn, keyword as k, movie_companies as mc, movie_keyword as mk, title as t where mc.movie_id = t.id and k.keyword ='character-name-in-title' and cn.id = mc.company_id and mk.keyword_id = k.id and cn.country_code ='[nl]' and mc.movie_id = mk.movie_id and t.id = mk.movie_id | job |
SELECT SUM(ss_ext_sales_price) AS ext_price, i_brand_id AS brand_id, i_brand AS brand, i_manufact_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 d_moy = 11 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND i_manager_id = 12 AND d_year = 1999 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 MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE ml.movie_id = mc.movie_id AND ml.movie_id = mk.movie_id AND t.production_year > 1950 AND t.id = mc.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND it.info = 'release dates' AND lt.link LIKE '%follow%' AND mi.note LIKE '%internet%' AND mc.note LIKE '%(USA)%' AND mi.info LIKE 'USA:% 199%' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = ml.movie_id AND ml.movie_id = mi.movie_id AND it.id = mi.info_type_id AND lt.id = ml.link_type_id AND mi.movie_id = t.id AND k.keyword = ANY(ARRAY['sequel', 'revenge', 'based-on-novel']) AND ct.id = mc.company_type_id AND cn.country_code = '[us]' AND mk.movie_id = mc.movie_id AND cn.id = mc.company_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.AnswerCount >= 0 AND p.Id = c.PostId AND p.PostTypeId = 1 AND u.Id = p.OwnerUserId AND p.Id = v.PostId AND p.Id = ph.PostId AND p.Id = pl.PostId | stats |
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 = 'Jewelry' AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -5 AND ca_gmt_offset = -5 AND d_moy = 8 ) AS all_sales AND i_category = 'Jewelry' 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 s_gmt_offset = -5 AND d_year = 2001 AND d_year = 2001 ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE t.id = mi.movie_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 = mc.movie_id AND it.id = mi.info_type_id AND it.info = 'bottom 10 rank' AND mc.movie_id = mi.movie_id AND ct.kind = 'production companies' AND ct.id = mc.company_type_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 t.id = mk.movie_id AND ci.movie_id = t.id AND t.episode_nr >= 50 AND n.id = ci.person_id AND an.person_id = ci.person_id AND mk.keyword_id = k.id AND cn.country_code = '[us]' AND an.person_id = n.id AND t.id = mc.movie_id AND k.keyword = 'character-name-in-title' 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 t.episode_nr < 100 | job |
SELECT total_revenue, s_name, s_suppkey, s_address, s_phone FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) ORDER BY s_suppkey | 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 mc.company_id = cn.id AND mk.keyword_id = k.id AND an.person_id = ci.person_id AND t.episode_nr < 100 AND an.person_id = n.id AND k.keyword = 'character-name-in-title' AND ci.movie_id = t.id AND ci.movie_id = mc.movie_id AND mc.movie_id = mk.movie_id AND t.episode_nr >= 50 AND t.id = mc.movie_id AND t.id = mk.movie_id AND cn.country_code = '[us]' AND ci.movie_id = mk.movie_id | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE o_orderkey = l1.l_orderkey AND l1.l_receiptdate > l1.l_commitdate AND s_suppkey = l1.l_suppkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND n_name = 1 AND o_orderstatus = 'F' AND s_nationkey = n_nationkey 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 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.id = mi_idx.info_type_id AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b WHERE b.UserId = c.UserId AND pl.LinkTypeId = 1 AND p.Id = ph.PostId AND p.Id = c.PostId AND p.Id = pl.RelatedPostId AND p.Id = v.PostId AND c.Score = 0 | stats |
select i_item_id, i_item_desc, i_category, i_class, i_current_price, sum(ws_ext_sales_price) as itemrevenue, sum(ws_ext_sales_price) * 100 / sum(sum(ws_ext_sales_price)) OVER (PARTITION by i_class) as revenueratio from web_sales join item on ws_item_sk = i_item_sk join date_dim on ws_sold_date_sk = d_date_sk where d_date between CAST('('1998-01-01', '1998-06-01', '1999-01-01', '1999-06-01', '2000-01-01', '2002-01-01')' as DATE) and (CAST('('1998-01-01', '1998-06-01', '1999-01-01', '1999-06-01', '2000-01-01', '2002-01-01')' as DATE) + INTERVAL '30 days') and i_category IN ('Men', 'Music', 'Books') 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; | tpcds |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND k.keyword like '%sequel%' AND mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.production_year > 2005 AND k.id = mk.keyword_id AND t.id = mi.movie_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b WHERE pl.LinkTypeId = 1 AND c.Score = 0 AND p.Id = pl.RelatedPostId AND p.Id = v.PostId AND p.Id = c.PostId AND b.UserId = c.UserId AND p.Id = ph.PostId LIMIT 500; | stats |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE t.id = mc.movie_id AND ci.movie_id = t.id AND k.keyword = 'character-name-in-title' AND ci.movie_id = mc.movie_id AND an.person_id = n.id AND mc.movie_id = mk.movie_id AND t.episode_nr < 100 AND mk.keyword_id = k.id AND ci.movie_id = mk.movie_id AND an.person_id = ci.person_id AND n.id = ci.person_id AND t.id = mk.movie_id AND mc.company_id = cn.id AND cn.country_code = '[us]' AND t.episode_nr >= 50 | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword LIKE '%sequel%' AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND t.id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mk.movie_id AND t.production_year > 2010 LIMIT 1000; | job |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE p_partkey = l_partkey AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey AND p_name LIKE 1 ) AS profit AND s_suppkey = l_suppkey AND ps_suppkey = l_suppkey AND ps_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
select avg(ss_list_price) as agg2, avg(ss_quantity) as agg1, avg(ss_coupon_amt) as agg3, avg(ss_sales_price) as agg4, i_item_id 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 l_linestatus, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_quantity) AS sum_qty, COUNT(*) AS count_order, AVG(l_extendedprice) AS avg_price, l_returnflag, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_discount) AS avg_disc, 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(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE rt.role = 'actress' AND an1.person_id = ci.person_id AND mc.note NOT LIKE '%(USA)%' AND ci.note = '(voice: English version)' AND ci.movie_id = t.id AND n1.id = ci.person_id AND cn.country_code = '[jp]' AND n1.name LIKE '%Yo%' AND ci.movie_id = mc.movie_id AND ci.role_id = rt.id AND n1.name NOT LIKE '%Yu%' AND an1.person_id = n1.id AND mc.note LIKE '%(Japan)%' AND mc.company_id = cn.id AND t.id = mc.movie_id LIMIT 1000; | job |
Select cntrycode, Count(*) As numcust, Sum(c_acctbal) As totacctbal From ( Select SUBSTRING(c_phone From 1 FOR 2) As cntrycode, c_acctbal From customer Where SUBSTRING(c_phone From 1 FOR 2) In (1, 1, 1, 1, 1, 1, 1) AND c_acctbal > ( Select Avg(c_acctbal) From customer Where c_acctbal > 0.00 And SUBSTRING(c_phone From 1 FOR 2) In (1, 1, 1, 1, 1, 1, 1) ) AND Not Exists ( Select * From orders Where o_custkey = c_custkey ) ) As custsale Group By cntrycode Order By cntrycode LIMIT 1000; | tpch |
SELECT AVG(cs_coupon_amt) AS agg3, AVG(cs_list_price) AS agg2, AVG(cs_quantity) AS agg1, i_item_id, AVG(cs_sales_price) AS agg4 FROM catalog_sales JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk JOIN item ON cs_item_sk = i_item_sk JOIN promotion ON cs_promo_sk = p_promo_sk WHERE cd_gender = 'M' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_marital_status = 'S' AND d_year = 2002 AND cd_education_status = 'Advanced Degree' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE p.Id = pl.RelatedPostId AND pl.LinkTypeId = 1 AND p.Id = ph.PostId AND c.UserId = u.Id AND p.Id = v.PostId AND p.Score <= 40 AND p.Id = c.PostId AND b.UserId = u.Id | stats |
select min(t.title) as biography_movie, min(n.name) as of_person from aka_name as an, cast_info as ci, info_type as it, link_type as lt, movie_link as ml, name as n, person_info as pi, title as t where lt.id = ml.link_type_id and pi.person_id = ci.person_id and it.id = pi.info_type_id and pi.note = 'Volker Boehm' and an.name like '%a%' and an.person_id = ci.person_id and lt.link = 'features' and t.production_year between 1980 and 1995 and n.name_pcode_cf between 'A' and 'F' and ci.movie_id = ml.linked_movie_id and n.id = pi.person_id and n.id = an.person_id and pi.person_id = an.person_id and t.id = ci.movie_id and it.info = 'mini biography' and ml.linked_movie_id = t.id and ci.person_id = n.id and (n.gender = 'm' or (n.gender = 'f' and n.name like 'B%')) | 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 n.id = pi.person_id AND t.id = ci.movie_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND lt.id = ml.link_type_id AND pi.note = 'Volker Boehm' AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id AND ml.linked_movie_id = t.id AND an.name LIKE '%a%' AND it.id = pi.info_type_id AND ci.person_id = n.id AND t.production_year BETWEEN 1980 AND 1995 AND it.info = 'mini biography' AND pi.person_id = an.person_id AND n.id = an.person_id AND lt.link = 'features' | job |
SELECT c_first_name, cnt, c_preferred_cust_flag, c_salutation, ss_ticket_number, c_last_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.37 AND s_county IN ('Bronz County', 'Barrow County', 'Jackson County') AND hd_vehicle_count > 0 AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND d_year IN (2001, 2002, 2003) GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
SELECT 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 mc.note LIKE '%(USA)%' AND ci.movie_id = mc.movie_id AND n.gender = 'f' AND n.id = ci.person_id AND ci.person_id = an.person_id AND ci.role_id = rt.id AND t.production_year > 2000 AND mi.movie_id = mc.movie_id AND t.id = mi.movie_id AND it.info = 'release dates' AND t.id = mc.movie_id AND cn.id = mc.company_id AND t.id = ci.movie_id AND chn.id = ci.person_role_id AND rt.role = 'actress' AND mi.movie_id = ci.movie_id AND an.person_id = n.id AND cn.country_code = '[us]' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND it.id = mi.info_type_id | job |
SELECT c_name, n_name, c_custkey, c_address, c_phone, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_comment, c_acctbal FROM customer, orders, lineitem, nation WHERE o_orderdate < DATE 1 + INTERVAL '3' MONTH AND o_orderdate >= DATE 1 AND c_nationkey = n_nationkey AND c_custkey = o_custkey AND l_returnflag = 'R' AND l_orderkey = o_orderkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE t.id = mi.movie_id AND ct.kind = 'production companies' AND mc.movie_id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'bottom 10 rank' AND t.id = mc.movie_id AND it.id = mi.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id | job |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where k.id = mk.keyword_id AND mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.id = mi.movie_id AND t.production_year > 2005 AND t.id = mk.movie_id AND k.keyword Like '%sequel%' AND mk.movie_id = mi.movie_id | job |
Select Min(t.title) As american_movie From company_type As ct, info_type As it, movie_companies As mc, movie_info As mi, title As t Where ct.kind = 'production companies' And mc.movie_id = mi.movie_id And ct.id = mc.company_type_id And (mc.note Like '%(co-production)%' Or mc.note Like '%(presents)%') And it.info = 'bottom 10 rank' And it.id = mi.info_type_id And mc.note Not Like '%(As Metro-Goldwyn-Mayer Pictures)%' And t.id = mc.movie_id And t.id = mi.movie_id | job |
SELECT COUNT(sr_return_quantity) AS store_returns_quantitycount, i_item_desc, AVG(sr_return_quantity) AS store_returns_quantityave, COUNT(ss_quantity) AS store_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, s_state, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(cs_quantity) AS catalog_sales_quantityave, 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 = '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 * 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 >= 0 AND (ss_list_price BETWEEN 28 AND 28 + 10 OR ss_coupon_amt BETWEEN 614 AND 614 + 1000 OR ss_wholesale_cost BETWEEN 87 AND 87 + 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 77 AND 77 + 10 OR ss_coupon_amt BETWEEN 1614 AND 1614 + 1000 OR ss_wholesale_cost BETWEEN 88 AND 88 + 20) ) AS b3 AND ss_quantity <= 5 AND (ss_list_price BETWEEN 98 AND 98 + 10 OR ss_coupon_amt BETWEEN 2458 AND 2458 + 1000 OR ss_wholesale_cost BETWEEN 49 AND 49 + 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 LIMIT 100; | tpcds |
select o_orderkey, c_custkey, c_name, o_totalprice, sum(l_quantity), 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 ASC, 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 ci.movie_id = t.id AND t.id = mc.movie_id AND cn.country_code = '[us]' AND an.person_id = n.id AND t.episode_nr < 100 AND k.keyword = 'character-name-in-title' AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND n.id = ci.person_id AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND mc.company_id = cn.id AND t.episode_nr >= 50 AND ci.movie_id = mk.movie_id AND mk.keyword_id = k.id | job |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.