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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 = c.PostId AND p.Id = v.PostId AND c.UserId = u.Id AND b.UserId = u.Id AND p.Id = pl.RelatedPostId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 AND p.Score <= 40 | stats |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE s_suppkey = ps_suppkey AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND p_partkey = ps_partkey AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND r_name = 1 AND p_type LIKE 1 AND p_size = 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
Select l_orderkey, Sum(l_extendedprice * (1 - l_discount)) As revenue, o_orderdate, o_shippriority From customer, orders, lineitem Where c_custkey = o_custkey AND c_mktsegment = 1 AND l_shipdate > DATE 1 AND o_orderdate < DATE 1 AND l_orderkey = o_orderkey Group By l_orderkey, o_orderdate, o_shippriority Order By revenue Desc, o_orderdate Limit 10 | tpch |
select max(mi_idx.info) as rating, max(t.title) as movie_title from info_type as it, movie_info_idx as mi_idx, title as t where mi_idx.info > '8.0' and t.id = mi_idx.movie_id and it.id = mi_idx.info_type_id and it.info ='rating' and t.production_year between 2000 and 2005 | job |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where t.id = mi.movie_id AND k.keyword like '%sequel%' AND t.production_year > 2000 AND t.id = mk.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') LIMIT 100; | job |
SELECT MIN(t.title) AS series_named_after_char, MIN(an.name) AS cool_actor_pseudonym FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE n.id = ci.person_id AND ci.movie_id = t.id AND mc.movie_id = mk.movie_id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND t.id = mk.movie_id AND t.episode_nr >= 50 AND ci.movie_id = mk.movie_id AND t.episode_nr < 100 AND mc.company_id = cn.id AND an.person_id = n.id AND mk.keyword_id = k.id AND cn.country_code = '[us]' AND k.keyword = 'character-name-in-title' | job |
select count(1) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, users as u where u.Id = p.OwnerUserId and p.Id = v.PostId and p.Id = c.PostId and p.Id = pl.PostId and p.Id = ph.PostId and p.PostTypeId = 1 and p.AnswerCount >= 0 limit 200; | stats |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[de]' AND cn.id = mc.company_id AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND kt.id = t.kind_id AND kt.kind = 'movie' AND it.id = miidx.info_type_id AND miidx.movie_id = t.id AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND it.info = 'rating' AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND it2.info = 'release dates' AND mc.movie_id = t.id AND miidx.movie_id = mc.movie_id LIMIT 500; | job |
Select supp_nation, cust_nation, l_year, Sum(volume) As revenue From ( Select n1.n_name As supp_nation, n2.n_name As cust_nation, EXTRACT(YEAR From l_shipdate) As l_year, l_extendedprice * (1 - l_discount) As volume From supplier, lineitem, orders, customer, nation n1, nation n2 Where s_suppkey = l_suppkey AND s_nationkey = n1.n_nationkey AND c_nationkey = n2.n_nationkey AND c_custkey = o_custkey AND ( (n1.n_name = 1 And n2.n_name = 1) Or (n1.n_name = 1 And n2.n_name = 1) ) AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) As shipping AND o_orderkey = l_orderkey Group By supp_nation, cust_nation, l_year Order By supp_nation, cust_nation, l_year | tpch |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, movie_info_idx AS mi_idx, title AS t WHERE it.info ='rating' AND t.id = mi_idx.movie_id AND t.production_year BETWEEN 2000 AND 2010 AND it.id = mi_idx.info_type_id AND mi_idx.info > '7.0' LIMIT 100; | 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 pi.note = 'Volker Boehm' AND it.info = 'mini biography' AND it.id = pi.info_type_id AND an.person_id = ci.person_id AND n.id = pi.person_id AND pi.person_id = ci.person_id AND t.production_year BETWEEN 1980 AND 1995 AND pi.person_id = an.person_id AND lt.link = 'features' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND ml.linked_movie_id = t.id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND t.id = ci.movie_id AND lt.id = ml.link_type_id AND an.name LIKE '%a%' AND n.id = an.person_id AND ci.person_id = n.id AND ci.movie_id = ml.linked_movie_id | job |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE it2.info = 'release dates' AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mi.movie_id = mc.movie_id AND mc.movie_id = t.id AND mi.movie_id = t.id AND miidx.movie_id = t.id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND it.id = miidx.info_type_id AND cn.country_code = '[de]' AND mi.movie_id = miidx.movie_id AND ct.kind = 'production companies' AND kt.kind = 'movie' AND it.info = 'rating' AND miidx.movie_id = mc.movie_id | job |
SELECT i_manufact, i_brand_id AS brand_id, i_manufact_id, SUM(ss_ext_sales_price) AS ext_price, i_brand AS brand 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 = 73 AND d_moy = 11 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) 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 cc_manager AS manager, cc_name AS call_center_name, cc_call_center_id AS call_center, SUM(cr_net_loss) AS returns_loss FROM call_center JOIN catalog_returns ON cr_call_center_sk = cc_call_center_sk JOIN date_dim ON cr_returned_date_sk = d_date_sk JOIN customer ON cr_returning_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN customer_demographics ON cr_returning_cdemo_sk = cd_demo_sk JOIN household_demographics ON cr_returning_hdemo_sk = hd_demo_sk WHERE ca_gmt_offset = -5 AND d_moy = 11 AND ( (cd_marital_status = 'S' AND cd_education_status = 'Advanced Degree') OR (hd_buy_potential LIKE '0-500%' AND ca_gmt_offset = -5) ) AND d_year = 1999 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 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 = 12 ) AS all_sales AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND i_category = 'Jewelry' AND d_moy = 12 ) 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 i_category = 'Jewelry' AND d_year = 2002 AND s_gmt_offset = -6 AND s_gmt_offset = -6 AND ca_gmt_offset = -6 AND d_year = 2002 ORDER BY promotions, total LIMIT 100; | tpcds |
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 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 ) AND n_name = 1 AND s_suppkey = l1.l_suppkey AND o_orderkey = l1.l_orderkey 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 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 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 ss_sold_date_sk = d1.d_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_year = 2000 AND d3.d_moy BETWEEN 10 AND 10 + 3 AND d2.d_moy BETWEEN 10 AND 10 + 3 AND d2.d_year = 2000 AND d1.d_moy = 10 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 t.id = mc.movie_id AND mk.movie_id = mc.movie_id AND t.id = mi.movie_id AND t.production_year > 2008 AND it2.info = 'rating' AND ct.id = mc.company_type_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND mc.note LIKE '%(200%)%' AND mi_idx.info < '7.0' AND mi.movie_id = mc.movie_id AND it1.info = 'countries' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND mc.note NOT LIKE '%(USA)%' AND kt.kind IN ('movie', 'episode') AND t.id = mi_idx.movie_id AND cn.id = mc.company_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND cn.country_code != '[us]' AND mc.movie_id = mi_idx.movie_id AND mk.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND mi.movie_id = mi_idx.movie_id | job |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE hd_vehicle_count > 0 AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND s_county IN ('Williamson County', 'Barrow County', 'Placer County') AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND d_year IN (2001, 2000, 2002) AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.85 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(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 mc.note not like '%(USA)%' and an1.person_id = n1.id and ci.role_id = rt.id and rt.role = 'actress' and ci.note = '(voice: English version)' and cn.country_code = '[jp]' and n1.name like '%Yo%' and ci.movie_id = t.id and an1.person_id = ci.person_id and n1.name not like '%Yu%' and mc.note like '%(Japan)%' and ci.movie_id = mc.movie_id and n1.id = ci.person_id and mc.company_id = cn.id and t.id = mc.movie_id | job |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE t.production_year > 1990 AND k.id = mk.keyword_id AND ct.id = mc.company_type_id AND mk.movie_id = ci.movie_id AND cn.id = mc.company_id AND ci.person_id = an.person_id AND an.person_id = n.id AND n.gender = 'f' AND mc.note LIKE '%(Japan)%' AND cn.country_code = '[jp]' AND ci.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND rt.role = 'actress' AND ci.role_id = rt.id AND k.keyword = 'anime' AND mc.note NOT LIKE '%(USA)%' AND ci.note LIKE '%(voice: English version)%' AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND n.id = ci.person_id | job |
SELECT MAX(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.production_year > 2010 AND k.keyword LIKE '%sequel%' AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') | job |
SELECT total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100, promotions 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 d_year = 2001 AND d_moy = 8 ) AS all_sales AND d_year = 2001 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -5 AND s_gmt_offset = -5 AND ca_gmt_offset = -5 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 ORDER BY promotions, total 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 mk.keyword_id = k.id And mc.movie_id = t.id And cn.id = mc.company_id And k.keyword ='character-name-In-title' And mc.movie_id = mk.movie_id And cn.country_code ='[sm]' | job |
SELECT i_item_id, AVG(cs_quantity) AS agg1, AVG(cs_list_price) AS agg2, AVG(cs_coupon_amt) AS agg3, AVG(cs_sales_price) AS agg4 FROM catalog_sales INNER JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk INNER JOIN date_dim ON cs_sold_date_sk = d_date_sk INNER JOIN item ON cs_item_sk = i_item_sk INNER JOIN promotion ON cs_promo_sk = p_promo_sk WHERE cd_marital_status = 'S' AND cd_education_status = 'Advanced Degree' AND cd_gender = 'F' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND d_year = 1999 GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT o_year, SUM(amount) AS sum_profit, nation FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE s_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND ps_suppkey = l_suppkey AND s_nationkey = n_nationkey AND ps_partkey = l_partkey AND p_partkey = l_partkey AND o_orderkey = l_orderkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE p_partkey = l_partkey AND ps_partkey = l_partkey AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey AND s_suppkey = l_suppkey AND s_nationkey = n_nationkey AND p_name LIKE 1 ) AS profit GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
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.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND n.name_pcode_cf <= 'F' AND ci.movie_id = ml.linked_movie_id AND n.id = an.person_id AND pi.person_id = an.person_id AND lt.link = 'features' AND pi.person_id = ci.person_id AND it.info = 'mini biography' AND an.name LIKE '%a%' AND n.id = pi.person_id AND an.person_id = ci.person_id AND lt.id = ml.link_type_id AND n.name_pcode_cf >= 'A' AND pi.note = 'Volker Boehm' AND it.id = pi.info_type_id AND ml.linked_movie_id = t.id AND t.id = ci.movie_id AND t.production_year BETWEEN 1980 AND 1995 AND ci.person_id = n.id | job |
Select Min(n.name) As of_person, Min(t.title) As biography_movie From aka_name As an, cast_info As ci, info_type As it, link_type As lt, movie_link As ml, name As n, person_info As pi, title As t Where t.id = ci.movie_id AND pi.person_id = ci.person_id AND ci.movie_id = ml.linked_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 n.id = pi.person_id AND it.info = 'mini biography' AND an.person_id = ci.person_id AND ci.person_id = n.id AND lt.id = ml.link_type_id AND lt.link = 'features' AND t.production_year BETWEEN 1980 AND 1995 AND an.name Like '%a%' AND pi.note = 'Volker Boehm' AND n.id = an.person_id AND ml.linked_movie_id = t.id AND it.id = pi.info_type_id AND pi.person_id = an.person_id | job |
SELECT s_phone, s_acctbal, p_mfgr, p_partkey, s_address, n_name, s_name, s_comment 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 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 hd_vehicle_count > 0 AND s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND d_year IN (2001, 2001, 2001) AND d_dom BETWEEN 1 AND 2 GROUP BY ss_ticket_number, ss_customer_sk ) AS dj INNER JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE o_orderstatus = 'F' 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 NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND s_nationkey = n_nationkey AND n_name = 1 AND s_suppkey = l1.l_suppkey AND l1.l_receiptdate > l1.l_commitdate GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT COUNT(*) FROM store_sales JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN time_dim ON ss_sold_time_sk = t_time_sk JOIN store ON ss_store_sk = s_store_sk WHERE t_minute >= 35 AND s_store_name = 'ation' AND t_hour = 10 AND hd_dep_count = 2 ORDER BY COUNT(*) DESC; | tpcds |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE o_orderdate < DATE 1 + INTERVAL '1' YEAR AND r_name = 1 AND l_suppkey = s_suppkey AND c_nationkey = s_nationkey AND c_custkey = o_custkey AND o_orderdate >= DATE 1 AND l_orderkey = o_orderkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey GROUP BY n_name ORDER BY revenue DESC | 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 (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND d_year IN (2001, 2000, 2002) AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.85 AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND hd_vehicle_count > 0 AND s_county IN ('Williamson County', 'Barrow County', 'Placer County') 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; | tpcds |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE pi.note = 'Volker Boehm' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND it.id = pi.info_type_id AND n.id = pi.person_id AND ci.person_id = n.id AND lt.id = ml.link_type_id AND an.name LIKE '%a%' AND it.info = 'mini biography' AND t.production_year BETWEEN 1980 AND 1995 AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND n.id = an.person_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id AND t.id = ci.movie_id AND an.person_id = ci.person_id AND lt.link = 'features' AND ml.linked_movie_id = t.id | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_suppkey = l1.l_suppkey AND s_nationkey = n_nationkey AND o_orderstatus = 'F' AND o_orderkey = l1.l_orderkey AND n_name = 1 AND l1.l_receiptdate > l1.l_commitdate AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) GROUP BY s_name ORDER BY numwait DESC, s_name 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 t.id = mk.movie_id AND mk.keyword_id = k.id AND an.person_id = ci.person_id AND t.episode_nr < 100 AND mc.movie_id = mk.movie_id AND n.id = ci.person_id AND cn.country_code = '[us]' AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND k.keyword = 'character-name-in-title' AND an.person_id = n.id AND ci.movie_id = mk.movie_id AND t.episode_nr >= 50 AND t.id = mc.movie_id AND ci.movie_id = t.id | job |
SELECT o_year, SUM(amount) AS sum_profit, nation FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE s_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND ps_suppkey = l_suppkey AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey AND p_partkey = l_partkey AND ps_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, users AS u, badges AS b WHERE u.Reputation >= 1 AND u.Id = b.UserId AND ph.UserId = u.Id AND ph.PostHistoryTypeId = 3 AND p.OwnerUserId = u.Id AND p.Score >= -7 LIMIT 100; | stats |
WITH year_total AS ( SELECT c_email_address AS customer_email_address, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_last_name AS customer_last_name, c_first_name AS customer_first_name, 's' AS sale_type, c_login AS customer_login, d_year AS dyear, c_preferred_cust_flag AS customer_preferred_cust_flag, c_customer_id AS customer_id, c_birth_country AS customer_birth_country FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE t.id = mc.movie_id AND it.id = mi.info_type_id AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND mc.movie_id = mi.movie_id AND t.id = mi.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'bottom 10 rank' | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND mk.keyword_id = k.id AND cn.id = mc.company_id AND t.id = mk.movie_id AND cn.country_code ='[sm]' AND k.keyword ='character-name-in-title' | job |
select ca_zip, sum(cs_sales_price) from catalog_sales inner join customer on cs_bill_customer_sk = c_customer_sk inner join customer_address on c_current_addr_sk = ca_address_sk inner join date_dim on cs_sold_date_sk = d_date_sk where d_year = 2002 and (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 group by ca_zip order by ca_zip limit 100; | tpcds |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE r_name = 1 AND n_regionkey = r_regionkey AND p_size = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_partkey = ps_partkey AND s_nationkey = n_nationkey AND p_type LIKE 1 AND s_suppkey = ps_suppkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.id = ci.person_id AND t.id = mk.movie_id AND n.name LIKE '%Downey%Robert%' AND k.id = mk.keyword_id AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 AND ci.movie_id = mk.movie_id | job |
SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_partkey = ps_partkey AND p_brand <> 1 AND p_type NOT LIKE 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size LIMIT 100; | tpch |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE kt.id = t.kind_id AND it2.info = 'release dates' AND kt.kind = 'movie' AND miidx.movie_id = t.id AND it.info = 'rating' AND cn.id = mc.company_id AND cn.country_code = '[de]' AND mc.movie_id = t.id AND ct.id = mc.company_type_id AND miidx.movie_id = mc.movie_id AND mi.movie_id = t.id AND ct.kind = 'production companies' AND mi.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND mi.movie_id = miidx.movie_id AND it.id = miidx.info_type_id | job |
SELECT s_name, COUNT(1) 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 s_suppkey = l1.l_suppkey AND s_nationkey = n_nationkey AND n_name = 1 AND l1.l_receiptdate > l1.l_commitdate AND o_orderstatus = 'F' AND o_orderkey = l1.l_orderkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.id = mc.company_id AND ct.id = mc.company_type_id AND mi.info LIKE 'USA:% 199%' AND lt.id = ml.link_type_id AND mc.note LIKE '%(USA)%' AND lt.link LIKE '%follow%' AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND it.id = mi.info_type_id AND k.id = mk.keyword_id AND t.id = ml.movie_id AND cn.country_code = '[us]' AND ml.movie_id = mc.movie_id AND ml.movie_id = mk.movie_id AND it.info = 'release dates' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mi.note LIKE '%internet%' AND t.id = mk.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND t.id = mc.movie_id AND t.production_year > 1950 AND mi.movie_id = t.id | job |
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_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND c_custkey = o_custkey AND o_orderdate >= DATE 1 AND c_nationkey = n_nationkey AND l_returnflag = 'R' GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE d_year = 2001 AND ca_state IN ('TX', 'GA', 'NC') AND ( (hd_dep_count = 2 AND hd_vehicle_count <= 3) OR (hd_dep_count = 4 AND hd_vehicle_count <= 3) OR (hd_dep_count = 5 AND hd_vehicle_count <= 5) ) AND s_market_id = 9 AND ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 77 AND 143) OR (cd_marital_status = 'M' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 99 AND 100) OR (cd_marital_status = 'W' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 134 AND 179) ) AND ca_country = 'United States' 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 (hd_dep_count = 5 OR hd_vehicle_count = 0) AND s_city IN ('Clinton', 'Oak Grove') AND d_year IN (2000, 2002, 2001) AND d_dow = ANY(ARRAY[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 MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.production_year > 2005 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND k.keyword LIKE '%sequel%' | job |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE mc.company_id = cn.id AND mc.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND t.episode_nr >= 50 AND mk.keyword_id = k.id AND cn.country_code = '[us]' AND t.id = mc.movie_id AND ci.movie_id = mk.movie_id AND an.person_id = n.id AND ci.movie_id = t.id AND k.keyword = 'character-name-in-title' AND t.episode_nr < 100 AND t.id = mk.movie_id AND n.id = ci.person_id AND an.person_id = ci.person_id | job |
SELECT p_partkey, s_phone, s_address, s_comment, s_name, s_acctbal, p_mfgr, n_name 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 ASC, n_name, s_name, p_partkey LIMIT 100 | tpch |
Select c_address, c_phone, c_custkey, c_comment, n_name, Sum(l_extendedprice * (1 - l_discount)) As revenue, c_acctbal, c_name From customer, orders, lineitem, nation Where c_custkey = o_custkey And l_orderkey = o_orderkey And o_orderdate >= DATE 1 And o_orderdate < DATE 1 + INTERVAL '3' MONTH And l_returnflag = 'R' And c_nationkey = n_nationkey Group By c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment Order By revenue Desc Limit 20 | tpch |
SELECT w_state, 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_before, 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 INNER JOIN catalog_returns ON cs_order_number = cr_order_number AND cs_item_sk = cr_item_sk INNER JOIN warehouse ON cs_warehouse_sk = w_warehouse_sk INNER JOIN item ON i_item_sk = cs_item_sk INNER JOIN date_dim ON cs_sold_date_sk = d_date_sk WHERE 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 >= 74.26 AND i_current_price <= 74.26 + 1.49 GROUP BY w_state, i_item_id ORDER BY w_state, i_item_id LIMIT 100; | tpcds |
With year_total As ( Select c_first_name As customer_first_name, c_preferred_cust_flag As customer_preferred_cust_flag, c_last_name As customer_last_name, c_birth_country As customer_birth_country, 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, d_year As dyear, 's' As sale_type, c_email_address As customer_email_address, c_customer_id As customer_id From customer Join store_sales On c_customer_sk = ss_customer_sk Join date_dim On ss_sold_date_sk = d_date_sk Where d_year Between 2002 And 2002 + 1 Group By c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) Select t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address From year_total As t_s_firstyear Join year_total As t_s_secyear On t_s_firstyear.customer_id = t_s_secyear.customer_id Where t_s_firstyear.sale_type = 's' And t_s_secyear.sale_type = 's' And t_s_firstyear.dyear = 2002 And t_s_secyear.dyear = 2002 + 1 And t_s_firstyear.year_total > 0 And Case When t_s_firstyear.year_total > 0 Then t_s_secyear.year_total / t_s_firstyear.year_total Else NULL End > 1.0 Order By t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address Limit 100; | tpcds |
SELECT MIN(t.title) AS 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.link = 'features' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND lt.id = ml.link_type_id AND ml.linked_movie_id = t.id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND an.person_id = ci.person_id AND pi.person_id = ci.person_id AND pi.person_id = an.person_id AND it.id = pi.info_type_id AND n.id = an.person_id AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1980 AND 1995 AND ci.movie_id = ml.linked_movie_id AND ci.person_id = n.id AND t.id = ci.movie_id AND it.info = 'mini biography' AND an.name LIKE '%a%' AND n.id = pi.person_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 lt.id = ml.link_type_id AND lt.link = 'features' AND n.id = an.person_id AND an.name LIKE '%a%' AND it.info = 'mini biography' AND t.production_year BETWEEN 1980 AND 1995 AND n.id = pi.person_id AND ci.movie_id = ml.linked_movie_id AND ci.person_id = n.id AND ml.linked_movie_id = t.id AND an.person_id = ci.person_id AND pi.person_id = ci.person_id AND it.id = pi.info_type_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.note = 'Volker Boehm' AND pi.person_id = an.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND t.id = ci.movie_id | job |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE n_regionkey = r_regionkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND p_partkey = ps_partkey AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_type LIKE 1 AND r_name = 1 AND p_size = 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.name LIKE '%Downey%Robert%' AND n.id = ci.person_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 k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.movie_id | job |
SELECT c_first_name, cnt, c_last_name, c_salutation, 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_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.56 AND d_year IN (2000, 2000, 2003) AND s_county IN ('Williamson County', 'Washington County', 'Placer County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn 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 p_brand, p_size, p_type, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_brand <> 1 AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_partkey = ps_partkey AND p_type NOT LIKE 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
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_moy BETWEEN 3 AND 3 + 3 AND d3.d_year = 2001 AND d3.d_moy BETWEEN 3 AND 3 + 3 AND d1.d_moy = 3 AND d2.d_year = 2001 AND d1.d_year = 2001 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
Select w_state, 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_before, 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 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 >= 74.26 And i_current_price <= 74.26 + 1.49 Group By w_state, i_item_id Order By w_state, i_item_id Limit 100; | tpcds |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = mc.movie_id AND cn.country_code = '[us]' AND n.gender = 'f' AND ci.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND n.id = ci.person_id AND mc.note LIKE '%(USA)%' AND it.info = 'release dates' AND it.id = mi.info_type_id AND ci.role_id = rt.id AND an.person_id = n.id AND cn.id = mc.company_id AND t.production_year > 2000 AND ci.person_id = an.person_id AND t.id = mi.movie_id AND chn.id = ci.person_role_id AND t.id = ci.movie_id AND mi.movie_id = ci.movie_id AND rt.role = 'actress' | job |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND d_year IN (2000, 2000, 2003) AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.56 AND s_county IN ('Williamson County', 'Washington County', 'Placer County') 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 AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales INNER JOIN store ON s_store_sk = ss_store_sk INNER JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk INNER JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk INNER JOIN customer_address ON ca_address_sk = ss_addr_sk INNER JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ca_state IN ('TX', 'GA', 'FL') AND ca_country = 'United States' AND ( (hd_dep_count = 2 AND hd_vehicle_count <= 4) OR (hd_dep_count = 4 AND hd_vehicle_count <= 5) OR (hd_dep_count = 5 AND hd_vehicle_count <= 6) ) AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price BETWEEN 90 AND 128) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 81 AND 149) OR (cd_marital_status = 'W' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 138 AND 187) ) AND s_market_id = 8 AND d_year = 2001 | tpcds |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE n_regionkey = r_regionkey AND p_size = 1 AND s_suppkey = ps_suppkey AND r_name = 1 AND p_type LIKE 1 AND p_partkey = ps_partkey AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND s_nationkey = n_nationkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(t.production_year) AS movie_year, MIN(t.title) AS movie_title, MIN(mc.note) AS production_note 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 t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND t.id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE mi.movie_id = mc.movie_id AND mc.movie_id = t.id AND ct.kind = 'production companies' AND it2.info = 'release dates' AND kt.kind = 'movie' AND mi.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cn.country_code = '[de]' AND kt.id = t.kind_id AND it2.id = mi.info_type_id AND miidx.movie_id = t.id AND it.info = 'rating' AND mi.movie_id = miidx.movie_id AND it.id = miidx.info_type_id AND miidx.movie_id = mc.movie_id | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.production_year > 2010 AND k.keyword LIKE '%sequel%' AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id LIMIT 50; | job |
Select Avg(ss_quantity), Avg(ss_ext_sales_price), Avg(ss_ext_wholesale_cost), Sum(ss_ext_wholesale_cost) From store_sales Join store On s_store_sk = ss_store_sk Join customer_demographics On cd_demo_sk = ss_cdemo_sk Join household_demographics On hd_demo_sk = ss_hdemo_sk Join customer_address On ca_address_sk = ss_addr_sk Join date_dim On d_date_sk = ss_sold_date_sk Where ca_country = 'United States' AND ca_state IN ('TX', 'WA', 'FL') AND ( (hd_dep_count = 1 And hd_vehicle_count <= 4) Or (hd_dep_count = 3 And hd_vehicle_count <= 4) Or (hd_dep_count = 6 And hd_vehicle_count <= 3) ) AND ( (cd_marital_status = 'M' And cd_education_status = 'College' And ss_sales_price BETWEEN 89 AND 113) Or (cd_marital_status = 'M' And cd_education_status = 'Secondary' And ss_sales_price BETWEEN 53 AND 128) Or (cd_marital_status = 'D' And cd_education_status = 'Advanced Degree' And ss_sales_price BETWEEN 110 AND 166) ) AND s_market_id = 8 AND d_year = 2002 | tpcds |
SELECT i_item_desc, MAX(cs_net_profit) AS catalog_sales_profit, MAX(ss_net_profit) AS store_sales_profit, s_store_name, s_store_id, MAX(sr_net_loss) AS store_returns_loss, i_item_id FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 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(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 k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND ct.id = mc.company_type_id AND mi.movie_id = t.id AND t.production_year > 1950 AND ml.movie_id = mk.movie_id AND ml.movie_id = mi.movie_id AND cn.country_code = '[us]' AND lt.link LIKE '%follow%' AND lt.id = ml.link_type_id AND mi.info LIKE 'USA:% 199%' AND t.id = mc.movie_id AND cn.id = mc.company_id AND mc.note LIKE '%(USA)%' AND mi.note LIKE '%internet%' AND t.id = ml.movie_id AND it.info = 'release dates' AND it.id = mi.info_type_id AND t.id = mk.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT SUM(l_extendedprice * (1 - l_discount)) AS revenue, l_orderkey, o_shippriority, o_orderdate FROM customer, orders, lineitem WHERE o_orderdate < DATE 1 AND l_shipdate > DATE 1 AND l_orderkey = o_orderkey AND c_mktsegment = 1 AND c_custkey = o_custkey GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | tpch |
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 = pl.PostId AND p.Id = c.PostId AND p.Id = v.PostId AND p.PostTypeId = 1 AND u.Id = p.OwnerUserId AND p.Id = ph.PostId | stats |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND o_orderkey = l1.l_orderkey 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 l1.l_receiptdate > l1.l_commitdate AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND o_orderstatus = 'F' AND s_suppkey = l1.l_suppkey AND n_name = 1 GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
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 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 and SUBSTRING(c_phone from 1 FOR 2) in (1, 1, 1, 1, 1, 1, 1) group by cntrycode order by cntrycode LIMIT 10; | tpch |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE u.Id = b.UserId AND p.Id = v.PostId AND p.ViewCount >= 0 AND p.Id = c.PostId AND p.Id = ph.PostId AND p.Score <= 192 AND u.Id = p.OwnerUserId | stats |
select min(k.keyword) as movie_keyword, min(n.name) as actor_name, min(t.title) as marvel_movie from cast_info as ci, keyword as k, movie_keyword as mk, name as n, title as t where n.name like '%Downey%Robert%' AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 AND n.id = ci.person_id | job |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE s_suppkey = l_suppkey AND p_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND s_nationkey = n_nationkey AND ps_partkey = l_partkey AND ps_suppkey = l_suppkey AND o_orderkey = l_orderkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
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.name_pcode_cf BETWEEN 'A' AND 'F' AND ci.movie_id = ml.linked_movie_id AND pi.person_id = ci.person_id AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1980 AND 1995 AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND an.person_id = ci.person_id AND it.id = pi.info_type_id AND n.id = an.person_id AND ci.person_id = n.id AND lt.id = ml.link_type_id AND it.info = 'mini biography' AND n.id = pi.person_id AND t.id = ci.movie_id AND an.name LIKE '%a%' AND pi.person_id = an.person_id AND ml.linked_movie_id = t.id AND lt.link = 'features' | job |
SELECT COUNT(1) FROM comments AS c, postHistory AS ph, votes AS v, users AS u WHERE u.DownVotes >= 0 AND ph.UserId = c.UserId AND u.Id = v.UserId AND v.UserId = ph.UserId AND u.Views >= 0 AND u.UpVotes <= 123 | stats |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.movie_id = mc.movie_id AND cn.id = mc.company_id AND ci.note LIKE '%(voice)%' AND ci.note LIKE '%(uncredited)%' AND t.id = ci.movie_id AND t.production_year > 2005 AND rt.id = ci.role_id AND ct.id = mc.company_type_id AND chn.id = ci.person_role_id AND cn.country_code = '[ru]' AND t.id = mc.movie_id AND rt.role = 'actor' | job |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE t.production_year > 1990 AND mk.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND mc.note LIKE '%(Japan)%' AND k.id = mk.keyword_id AND cn.id = mc.company_id AND rt.role = 'actress' AND n.gender = 'f' AND ci.note LIKE '%(voice: English version)%' AND mk.movie_id = ci.movie_id AND n.id = ci.person_id AND t.id = mk.movie_id AND k.keyword = 'anime' AND ci.movie_id = mc.movie_id AND an.person_id = n.id AND t.id = ci.movie_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND ci.person_id = an.person_id AND ci.role_id = rt.id AND cn.country_code = '[jp]' | job |
select count(*) from badges as b, users as u, posts as p where p.PostTypeId = 1 AND u.Id = b.UserId AND u.Reputation >= 1 AND u.Id = p.OwnerUserId | 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 p.Id = pl.RelatedPostId AND p.Score <= 40 AND pl.LinkTypeId = 1 AND p.Id = v.PostId AND b.UserId = u.Id AND c.UserId = u.Id AND p.Id = c.PostId AND p.Id = ph.PostId | stats |
SELECT i_brand_id AS brand_id, i_brand AS brand, i_manufact_id, i_manufact, SUM(ss_ext_sales_price) AS ext_price 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 = 12 AND d_year = 1999 AND i_manager_id = 3 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) 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; | tpcds |
SELECT MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year, MIN(mc.note) AS production_note FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' AND it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | 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.episode_nr < 100 AND t.id = mc.movie_id AND k.keyword = 'character-name-in-title' AND cn.country_code = '[us]' AND mk.keyword_id = k.id AND t.episode_nr >= 50 AND ci.movie_id = t.id AND t.id = mk.movie_id AND mc.company_id = cn.id AND mc.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND an.person_id = ci.person_id AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND n.id = ci.person_id | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE it1.info = 'rating' AND at.title LIKE '%Champion%' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.production_year > 2000 AND t.id = at.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND it1.id = mi_idx.info_type_id AND cn.country_code = '[us]' AND at.movie_id = mi.movie_id AND at.movie_id = mc.movie_id AND t.id = mc.movie_id AND cn.id = mc.company_id AND it2.info = 'release dates' AND kt.id = t.kind_id AND kt.kind = 'movie' AND mi_idx.info < '3.5' AND mi.info LIKE 'USA:%200%' AND at.movie_id = mi_idx.movie_id AND mi_idx.movie_id = mc.movie_id | job |
With _q As ( Select Avg(ss_quantity), Avg(ss_ext_sales_price), Avg(ss_ext_wholesale_cost), Sum(ss_ext_wholesale_cost) From store_sales Join store On s_store_sk = ss_store_sk Join customer_demographics On cd_demo_sk = ss_cdemo_sk Join household_demographics On hd_demo_sk = ss_hdemo_sk Join customer_address On ca_address_sk = ss_addr_sk Join date_dim On d_date_sk = ss_sold_date_sk Where ( (hd_dep_count = 2 And hd_vehicle_count <= 3) Or (hd_dep_count = 4 And hd_vehicle_count <= 3) Or (hd_dep_count = 5 And hd_vehicle_count <= 5) ) And d_year = 2001 And ( (cd_marital_status = 'M' And cd_education_status = 'College' And ss_sales_price Between 77 And 143) Or (cd_marital_status = 'M' And cd_education_status = 'Secondary' And ss_sales_price Between 99 And 100) Or (cd_marital_status = 'W' And cd_education_status = 'College' And ss_sales_price Between 134 And 179) ) And s_market_id = 9 And ca_state In ('TX', 'GA', 'NC') ) Select * From _q And ca_country = 'United States' | tpcds |
SELECT c_address, c_custkey, c_acctbal, c_name, c_phone, SUM(l_extendedprice * (1 - l_discount)) AS revenue, n_name, c_comment FROM customer, orders, lineitem, nation WHERE o_orderdate >= DATE 1 AND l_orderkey = o_orderkey AND l_returnflag = 'R' AND c_nationkey = n_nationkey AND c_custkey = o_custkey 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 DESC LIMIT 20 | 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 cn.id = mc.company_id AND cn.country_code ='[de]' AND mk.keyword_id = k.id AND t.id = mk.movie_id AND mc.movie_id = t.id AND k.keyword ='character-name-in-title' AND mc.movie_id = mk.movie_id | job |
SELECT p_type, p_brand, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_size FROM partsupp, part WHERE p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_brand <> 1 AND p_type NOT LIKE 1 AND p_partkey = ps_partkey GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size LIMIT 10; | tpch |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where t.production_year > 2000 AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.keyword Like '%sequel%' AND k.id = mk.keyword_id AND t.id = mk.movie_id | job |
select l_orderkey, o_shippriority, o_orderdate, sum(l_extendedprice * (1 - l_discount)) as revenue from customer, orders, lineitem where l_orderkey = o_orderkey and c_mktsegment = 1 and c_custkey = o_custkey and l_shipdate > DATE 1 and o_orderdate < DATE 1 group by l_orderkey, o_orderdate, o_shippriority order by revenue desc, o_orderdate limit 10 | tpch |
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