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SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE ct.kind = 'production companies' AND it2.info = 'release dates' AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND kt.kind = 'movie' AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND ct.id = mc.company_type_id AND it.info = 'rating' AND miidx.movie_id = mc.movie_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = t.id AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND mc.movie_id = t.id AND cn.country_code = '[de]' | job |
SELECT supp_nation, SUM(volume) AS revenue, cust_nation, l_year FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE o_orderkey = l_orderkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND c_custkey = o_custkey AND s_nationkey = n1.n_nationkey AND c_nationkey = n2.n_nationkey AND s_suppkey = l_suppkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT c_preferred_cust_flag, c_salutation, c_first_name, cnt, 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) > 1.79 AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND d_year IN (2000, 2002, 2003) AND s_county IN ('Bronz County', 'Daviess County', 'Maricopa County') AND hd_vehicle_count > 0 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 voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE t.id = mi.movie_id AND t.production_year > 2000 AND ci.movie_id = mc.movie_id AND ci.person_id = an.person_id AND rt.role = 'actress' AND n.id = ci.person_id AND an.person_id = n.id AND mi.movie_id = mc.movie_id AND cn.country_code = '[us]' AND mc.note LIKE '%(USA)%' AND mi.movie_id = ci.movie_id AND ci.role_id = rt.id AND it.info = 'release dates' AND it.id = mi.info_type_id AND t.id = ci.movie_id AND cn.id = mc.company_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND chn.id = ci.person_role_id AND t.id = mc.movie_id AND n.gender = 'f' | job |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE an.person_id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND cn.country_code = '[us]' AND t.episode_nr < 100 AND k.keyword = 'character-name-in-title' AND t.id = mc.movie_id AND mk.keyword_id = k.id AND an.person_id = n.id AND n.id = ci.person_id AND t.episode_nr >= 50 AND mc.movie_id = mk.movie_id AND mc.company_id = cn.id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id LIMIT 100; | job |
SELECT ca_city, extended_price, extended_tax, ss_ticket_number, c_first_name, c_last_name, list_price, bought_city FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 5 OR hd_vehicle_count = 2) AND d_dow IN (6, 0) AND d_year IN (2001, 2001, 2001) AND s_city IN ('Clinton', 'Glendale') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT AVG(cs_coupon_amt) AS agg3, AVG(cs_quantity) AS agg1, i_item_id, AVG(cs_sales_price) AS agg4, AVG(cs_list_price) AS agg2 FROM catalog_sales JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk JOIN item ON cs_item_sk = i_item_sk JOIN promotion ON cs_promo_sk = p_promo_sk WHERE cd_education_status = '4 yr Degree' AND cd_marital_status = 'S' AND d_year = 2000 AND cd_gender = 'M' AND (p_channel_email = 'N' OR p_channel_event = 'N') GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.production_year > 2010 AND t.id = ci.movie_id AND n.id = ci.person_id AND t.id = mk.movie_id AND n.name LIKE '%Downey%Robert%' AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND k.keyword = 'marvel-cinematic-universe' | job |
SELECT s_acctbal, s_phone, s_name, p_partkey, s_comment, n_name, s_address, p_mfgr FROM part, supplier, partsupp, nation, region WHERE n_regionkey = r_regionkey AND p_size = 1 AND p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_type LIKE 1 AND s_nationkey = n_nationkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
With _q As ( Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where k.keyword Like '%sequel%' And k.id = mk.keyword_id And mk.movie_id = mi.movie_id And mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') And t.production_year > 2005 And t.id = mi.movie_id And t.id = mk.movie_id ) Select * From _q; | 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 c_custkey = o_custkey AND l_returnflag = 'R' AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_orderkey = o_orderkey AND c_nationkey = n_nationkey AND o_orderdate >= DATE 1 GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
Select Sum(l_quantity), o_orderkey, c_custkey, c_name, o_totalprice, o_orderdate From customer, orders, lineitem Where o_orderkey In ( Select l_orderkey From lineitem Group By l_orderkey Having Sum(l_quantity) > 1 ) And c_custkey = o_custkey And o_orderkey = l_orderkey Group By c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice Order By o_totalprice Desc, o_orderdate Limit 100 | tpch |
SELECT 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 pl.LinkTypeId = 1 AND b.UserId = u.Id AND p.Id = ph.PostId AND c.UserId = u.Id AND p.Id = v.PostId AND p.Id = pl.RelatedPostId AND p.Id = c.PostId AND p.Score <= 40 | 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 o_orderdate >= DATE 1 AND c_custkey = o_custkey AND c_nationkey = n_nationkey AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC; | 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 s_suppkey = l_suppkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND o_orderkey = l_orderkey AND c_custkey = o_custkey AND s_nationkey = n1.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | 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_name Like 1 ) As profit And ps_suppkey = l_suppkey And s_suppkey = l_suppkey And p_partkey = l_partkey And ps_partkey = l_partkey And o_orderkey = l_orderkey And s_nationkey = n_nationkey Group By nation, o_year Order By nation, o_year Desc | tpch |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE p_type = 1 ) AS all_nations AND n1.n_regionkey = r_regionkey AND c_nationkey = n1.n_nationkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND r_name = 1 AND p_partkey = l_partkey AND s_suppkey = l_suppkey AND l_orderkey = o_orderkey AND o_custkey = c_custkey AND s_nationkey = n2.n_nationkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, MAX(ss_net_profit) AS store_sales_profit, MAX(sr_net_loss) AS store_returns_loss, MAX(cs_net_profit) AS catalog_sales_profit FROM store_sales 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_year = 2002 AND d1.d_moy >= 2 AND d1.d_moy <= 8 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d3.d_year = 2002 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT SUM(l_extendedprice) / 7.0 AS avg_yearly FROM lineitem, part WHERE l_quantity < ( SELECT 0.2 * AVG(l_quantity) FROM lineitem WHERE l_partkey = p_partkey ) AND p_brand = 1 AND p_partkey = l_partkey AND p_container = 1 LIMIT 10; | tpch |
SELECT l_returnflag, AVG(l_extendedprice) AS avg_price, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_linestatus, AVG(l_quantity) AS avg_qty, COUNT(1) AS count_order, SUM(l_extendedprice) AS sum_base_price, AVG(l_discount) AS avg_disc, 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 COUNT(*) FROM comments AS c, posts AS p, postHistory AS ph, votes AS v, users AS u WHERE ph.UserId = v.UserId AND p.Score <= 13 AND p.AnswerCount >= 0 AND p.OwnerUserId = ph.UserId AND u.Id = c.UserId AND c.UserId = p.OwnerUserId LIMIT 100; | stats |
SELECT SUM(ss_ext_sales_price) AS ext_price, i_brand_id AS brand_id, i_manufact_id, i_brand AS brand, 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 i_manager_id = 77 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND d_year = 2002 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 extended_tax, extended_price, bought_city, list_price, ss_ticket_number, c_first_name, c_last_name, ca_city FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 5 OR hd_vehicle_count = 0) AND d_dow IN (6, 0) AND d_year IN (2000, 2002, 2001) AND s_city IN ('Clinton', 'Oak Grove') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT MIN(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 mi_idx.info > '7.0' AND t.production_year BETWEEN 2000 AND 2010 AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND it.info ='rating' LIMIT 200; | job |
WITH _q AS ( SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND mc.movie_id = mk.movie_id ) SELECT * FROM _q AND cn.id = mc.company_id AND mk.keyword_id = k.id AND cn.country_code ='[sm]' AND k.keyword ='character-name-in-title' AND mc.movie_id = t.id LIMIT 20; | job |
SELECT MIN(t.title) AS japanese_movie_dubbed, MIN(an1.name) AS actress_pseudonym FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE an1.person_id = ci.person_id AND cn.country_code = '[jp]' AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND mc.company_id = cn.id AND n1.name NOT LIKE '%Yu%' AND ci.role_id = rt.id AND n1.id = ci.person_id AND ci.note = '(voice: English version)' AND t.id = mc.movie_id AND n1.name LIKE '%Yo%' AND mc.note NOT LIKE '%(USA)%' AND ci.movie_id = t.id AND an1.person_id = n1.id AND mc.note LIKE '%(Japan)%' | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mc.movie_id AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id AND ct.kind = 'production companies' 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 c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice, sum(l_quantity) from customer, orders, lineitem where o_orderkey in ( select l_orderkey from lineitem group by l_orderkey having sum(l_quantity) > 1 ) and c_custkey = o_custkey and o_orderkey = l_orderkey group by c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice order by o_totalprice DESC, o_orderdate limit 100 | tpch |
SELECT MIN(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 t.id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.id = mk.keyword_id AND t.production_year > 2010 AND t.id = mk.movie_id LIMIT 20; | job |
SELECT MIN(t.title) AS western_violent_movie, MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND it1.id = mi.info_type_id AND t.id = mk.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND t.id = mi_idx.movie_id AND it1.info = 'countries' AND mc.note NOT LIKE '%(USA)%' AND k.id = mk.keyword_id AND cn.country_code != '[us]' AND it2.id = mi_idx.info_type_id AND mi.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.note LIKE '%(200%)%' AND kt.kind IN ('movie', 'episode') AND mi_idx.info < '7.0' AND cn.id = mc.company_id AND t.production_year > 2008 AND mc.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND mk.movie_id = mi_idx.movie_id AND it2.info = 'rating' AND kt.id = t.kind_id AND mi.movie_id = mc.movie_id LIMIT 100; | job |
select count(*) from postHistory as ph, posts as p, users as u, badges as b where p.OwnerUserId = u.Id and ph.PostHistoryTypeId = 3 and p.Score >= -7 and u.Reputation >= 1 and ph.UserId = u.Id and u.Id = b.UserId | stats |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND it.info = 'bottom 10 rank' AND it.id = mi.info_type_id AND ct.id = mc.company_type_id | job |
Select o_orderkey, c_custkey, Sum(l_quantity), o_orderdate, c_name, o_totalprice From customer, orders, lineitem Where o_orderkey In ( Select l_orderkey From lineitem Group By l_orderkey Having Sum(l_quantity) > 1 ) And c_custkey = o_custkey And o_orderkey = l_orderkey Group By c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice Order By o_totalprice Desc, o_orderdate Limit 100 | tpch |
SELECT 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 INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk INNER JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE d_dow = ANY(ARRAY[6, 0]) AND s_city IN ('Clinton', 'Glendale') AND d_year IN (2001, 2000, 2001) AND (hd_dep_count = 4 OR hd_vehicle_count = 4) GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn INNER JOIN customer ON ss_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT MIN(t.title) AS western_violent_movie, MIN(mi_idx.info) AS rating, MIN(cn.name) AS movie_company FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE t.production_year > 2008 AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND cn.id = mc.company_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it1.id = mi.info_type_id AND it1.info = 'countries' AND t.id = mi_idx.movie_id AND kt.kind IN ('movie', 'episode') AND mi.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND mc.note LIKE '%(200%)%' AND mk.movie_id = mc.movie_id AND cn.country_code <> '[us]' AND t.id = mi.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mi_idx.movie_id AND mi_idx.info < '7.0' AND mc.note NOT LIKE '%(USA)%' AND it2.id = mi_idx.info_type_id AND t.id = mk.movie_id AND kt.id = t.kind_id AND it2.info = 'rating' AND mi.movie_id = mc.movie_id AND mk.movie_id = mi.movie_id AND t.id = mc.movie_id | job |
WITH _q AS ( SELECT item.i_brand_id AS brand_id, item.i_brand AS brand, SUM(ss_ext_sales_price) AS sum_agg, dt.d_year FROM date_dim AS dt JOIN store_sales ON dt.d_date_sk = store_sales.ss_sold_date_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE dt.d_moy = 12 AND item.i_manufact_id = 599 GROUP BY dt.d_year, item.i_brand, item.i_brand_id ORDER BY dt.d_year, sum_agg DESC, brand_id LIMIT 100 ) SELECT * FROM _q; | tpcds |
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 = pl.RelatedPostId AND p.Score <= 40 AND p.Id = v.PostId AND c.UserId = u.Id AND pl.LinkTypeId = 1 AND p.Id = ph.PostId AND b.UserId = u.Id AND p.Id = c.PostId | stats |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[us]' AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.info = 'countries' AND t.production_year > 2008 AND kt.kind IN ('movie', 'episode') AND t.id = mc.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND kt.id = t.kind_id AND mi_idx.info < '7.0' AND k.keyword = ANY(ARRAY['murder', 'murder-IN-title', 'blood', 'violence']) AND mc.note NOT LIKE '%(USA)%' AND mi.movie_id = mc.movie_id AND it2.id = mi_idx.info_type_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it2.info = 'rating' AND mc.note LIKE '%(200%)%' | job |
select cc_call_center_id as call_center, cc_name as call_center_name, sum(cr_net_loss) as returns_loss, cc_manager as manager 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 d_moy = 12 and d_year = 2001 and ( (cd_marital_status = 'S' and cd_education_status = '2 yr Degree') or (hd_buy_potential like '1001-5000%' and ca_gmt_offset = -5) ) and ca_gmt_offset = -5 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 s_acctbal, s_phone, s_name, p_partkey, p_mfgr, n_name, s_address, 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 ASC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE mi.movie_id = mi_idx.movie_id AND mi_idx.info < '7.0' AND t.id = mc.movie_id AND kt.kind IN ('movie', 'episode') AND cn.country_code != '[us]' AND it1.info = 'countries' AND it2.id = mi_idx.info_type_id AND mc.note LIKE '%(200%)%' AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND it1.id = mi.info_type_id AND mk.movie_id = mi_idx.movie_id AND t.production_year > 2008 AND t.id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mc.note NOT LIKE '%(USA)%' AND kt.id = t.kind_id AND mk.movie_id = mc.movie_id AND mk.movie_id = mi.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND it2.info = 'rating' AND k.id = mk.keyword_id AND t.id = mi_idx.movie_id AND cn.id = mc.company_id AND t.id = mi.movie_id | job |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE t.episode_nr >= 50 AND an.person_id = n.id AND mk.keyword_id = k.id AND k.keyword = 'character-name-in-title' AND cn.country_code = '[us]' AND t.episode_nr < 100 AND ci.movie_id = t.id AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND an.person_id = ci.person_id AND t.id = mc.movie_id AND n.id = ci.person_id AND mc.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id | job |
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 pi.person_id = an.person_id AND lt.id = ml.link_type_id AND ml.linked_movie_id = t.id AND n.id = an.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND t.production_year BETWEEN 1980 AND 1995 AND it.id = pi.info_type_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ci.person_id = n.id AND pi.person_id = ci.person_id AND lt.link = 'features' AND n.id = pi.person_id AND pi.note = 'Volker Boehm' AND ci.movie_id = ml.linked_movie_id AND an.person_id = ci.person_id AND it.info = 'mini biography' AND t.id = ci.movie_id AND an.name LIKE '%a%' | 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 mk.movie_id = mi.movie_id and t.id = mk.movie_id and t.production_year > 2000 and t.id = mi.movie_id and mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German']) and k.keyword like '%sequel%' | job |
SELECT ss_ticket_number, c_first_name, c_salutation, c_preferred_cust_flag, cnt, c_last_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(1) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (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) > 1.37 AND d_year IN (2001, 2002, 2003) AND s_county IN ('Bronz County', 'Barrow County', 'Jackson 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 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 n.id = ci.person_id AND t.episode_nr < 100 AND t.id = mc.movie_id AND t.episode_nr >= 50 AND an.person_id = ci.person_id AND k.keyword = 'character-name-in-title' AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND t.id = mk.movie_id AND an.person_id = n.id AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND ci.movie_id = mk.movie_id | job |
SELECT SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, l_shipmode, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_receiptdate >= DATE 1 AND l_shipdate < l_commitdate AND l_shipmode IN (1, 1) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_commitdate < l_receiptdate AND o_orderkey = l_orderkey GROUP BY l_shipmode ORDER BY l_shipmode | 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 t.id = mk.movie_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND n.name LIKE '%Downey%Robert%' AND ci.movie_id = mk.movie_id AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' | job |
SELECT AVG(ss_quantity) AS agg1, AVG(ss_sales_price) AS agg4, i_item_id, AVG(ss_list_price) AS agg2, AVG(ss_coupon_amt) AS agg3 FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE cd_gender = 'M' AND cd_marital_status = 'D' AND cd_education_status = '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; | tpcds |
SELECT AVG(l_discount) AS avg_disc, l_linestatus, SUM(l_quantity) AS sum_qty, COUNT(*) AS count_order, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice) AS sum_base_price, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_returnflag FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND o_orderkey = l_orderkey AND l_shipdate < l_commitdate AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate AND l_shipmode IN (1, 1) GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 1000; | 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 ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND k.id = mk.keyword_id AND n.id = ci.person_id AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' AND n.name Like '%Downey%Robert%' AND t.production_year > 2010 | 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_state in ('TX', 'WA', 'FL') AND ca_country = 'United States' 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 d_year = 2002 AND s_market_id = 8 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) ) | tpcds |
Select Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v Where pl.LinkTypeId = 1 AND p.Id = ph.PostId AND p.Id = c.PostId AND c.Score = 0 AND p.Id = pl.PostId AND p.FavoriteCount >= 0 AND p.Id = v.PostId | 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.id = ci.person_id AND 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 | job |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE mc.movie_id = mk.movie_id AND an.person_id = n.id AND k.keyword = 'character-name-in-title' AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND an.person_id = ci.person_id AND mc.company_id = cn.id AND ci.movie_id = t.id AND t.episode_nr >= 50 AND t.id = mc.movie_id AND cn.country_code = '[us]' AND mk.keyword_id = k.id AND t.episode_nr < 100 AND t.id = mk.movie_id AND n.id = ci.person_id | job |
SELECT l_year, cust_nation, SUM(volume) AS revenue, supp_nation FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND c_custkey = o_custkey AND c_nationkey = n2.n_nationkey AND s_nationkey = n1.n_nationkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year LIMIT 100; | tpch |
select cnt, c_salutation, c_first_name, c_preferred_cust_flag, c_last_name, 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) > 1.85 and d_year in (2001, 2000, 2002) 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 limit 100; | tpcds |
SELECT i_item_id, AVG(ss_quantity) AS agg1, AVG(ss_list_price) AS agg2, AVG(ss_coupon_amt) AS agg3, AVG(ss_sales_price) AS agg4 FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE cd_marital_status = 'D' AND cd_education_status = '4 yr Degree' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'M' AND d_year = 2002 GROUP BY i_item_id ORDER BY i_item_id; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi.info_type_id AND mc.movie_id = mi.movie_id AND t.id = mi.movie_id AND t.id = mc.movie_id AND it.info = 'bottom 10 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND ct.kind = 'production companies' LIMIT 1000; | job |
SELECT ss_ticket_number, list_price, ca_city, extended_tax, c_last_name, c_first_name, bought_city, extended_price FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE d_dow IN (6, 0) AND (hd_dep_count = 6 OR hd_vehicle_count = 2) AND s_city IN ('Five Points', 'Springfield') AND d_year IN (2001, 2000, 2002) 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 MAX(mc.note) AS production_note, MAX(t.title) AS movie_title, MAX(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 t.id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') 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 t.production_year > 2000 AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German']) AND k.keyword LIKE '%sequel%' AND t.id = mk.movie_id | job |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE rt.role = 'actress' AND mc.note LIKE '%(Japan)%' AND ci.role_id = rt.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND mc.note NOT LIKE '%(USA)%' AND n1.name LIKE '%Yo%' AND n1.name NOT LIKE '%Yu%' AND ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND an1.person_id = ci.person_id AND ci.movie_id = t.id AND an1.person_id = n1.id AND ci.movie_id = mc.movie_id AND n1.id = ci.person_id | job |
SELECT cc_name AS call_center_name, cc_manager AS manager, SUM(cr_net_loss) AS returns_loss, cc_call_center_id AS call_center FROM call_center JOIN catalog_returns ON cr_call_center_sk = cc_call_center_sk JOIN date_dim ON cr_returned_date_sk = d_date_sk JOIN customer ON cr_returning_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN customer_demographics ON cr_returning_cdemo_sk = cd_demo_sk JOIN household_demographics ON cr_returning_hdemo_sk = hd_demo_sk WHERE ( (cd_marital_status = 'S' AND cd_education_status = '4 yr Degree') OR (hd_buy_potential LIKE '501-1000%' AND ca_gmt_offset = -5) ) AND d_year = 2001 AND ca_gmt_offset = -5 AND d_moy = 11 GROUP BY cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status ORDER BY returns_loss ASC LIMIT 100; | tpcds |
SELECT SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share, o_year FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND o_custkey = c_custkey AND c_nationkey = n1.n_nationkey AND s_nationkey = n2.n_nationkey AND r_name = 1 AND p_type = 1 ) AS all_nations AND p_partkey = l_partkey AND l_orderkey = o_orderkey AND n1.n_regionkey = r_regionkey AND s_suppkey = l_suppkey GROUP BY o_year ORDER BY o_year LIMIT 10; | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE l1.l_receiptdate > l1.l_commitdate AND n_name = 1 AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND o_orderstatus = 'F' 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 s_suppkey = l1.l_suppkey AND o_orderkey = l1.l_orderkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
select p_type, p_size, p_brand, count(distinct ps_suppkey) as supplier_cnt from partsupp, part where p_partkey = ps_partkey and p_brand <> 1 and p_type not like 1 and p_size = ANY(ARRAY[1, 1, 1, 1, 1, 1, 1, 1]) and ps_suppkey not in ( select s_suppkey from supplier where s_comment like '%Customer%Complaints%' ) group by p_brand, p_type, p_size order by supplier_cnt desc, p_brand, p_type, p_size | tpch |
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 s_gmt_offset = -6 AND ca_gmt_offset = -6 AND d_year = 2002 AND s_gmt_offset = -6 AND d_year = 2002 AND i_category = 'Home' AND i_category = 'Home' AND d_moy = 5 ) AS all_sales AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_moy = 5 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -6 ORDER BY promotions, total LIMIT 100; | tpcds |
Select Sum(ss_ext_sales_price) As ext_price, i_brand_id As brand_id, 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 Where d_year = 2001 And i_manager_id = 1 And d_moy = 11 Group By i_brand, i_brand_id Order By ext_price Desc, brand_id 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 it2.id = mi_idx.info_type_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mc.note LIKE '%(200%)%' AND mi_idx.info < '7.0' AND t.id = mc.movie_id AND t.id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND t.production_year > 2008 AND kt.id = t.kind_id AND it1.info = 'countries' AND ct.id = mc.company_type_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND kt.kind IN ('movie', 'episode') AND cn.id = mc.company_id AND t.id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mk.movie_id = mc.movie_id AND k.id = mk.keyword_id AND it2.info = 'rating' AND cn.country_code != '[us]' AND t.id = mi_idx.movie_id AND mc.note NOT LIKE '%(USA)%' AND it1.id = mi.info_type_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 (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -7 AND ca_gmt_offset = -7 AND s_gmt_offset = -7 AND d_year = 1998 AND d_moy = 9 ) AS all_sales AND i_category = 'Electronics' AND d_moy = 9 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -7 AND i_category = 'Electronics' AND d_year = 1998 ORDER BY promotions, total 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 t.id = mc.movie_id AND mc.company_id = cn.id AND ci.note = '(voice: English version)' AND mc.note LIKE '%(Japan)%' AND n1.id = ci.person_id AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND n1.name LIKE '%Yo%' AND an1.person_id = n1.id AND mc.note NOT LIKE '%(USA)%' AND cn.country_code = '[jp]' AND ci.role_id = rt.id AND an1.person_id = ci.person_id AND n1.name NOT LIKE '%Yu%' AND ci.movie_id = t.id | job |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.id = mi.info_type_id AND mk.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND k.id = mk.keyword_id AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND kt.id = t.kind_id AND t.id = mi.movie_id AND it2.info = 'rating' AND cn.country_code != '[us]' AND mk.movie_id = mi.movie_id AND it1.info = 'countries' AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mc.note LIKE '%(200%)%' AND kt.kind IN ('movie', 'episode') AND t.production_year > 2008 AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it2.id = mi_idx.info_type_id AND mi_idx.info < '7.0' | job |
Select i_item_id, i_item_desc, i_current_price From item Join inventory On i_item_sk = inv_item_sk Join date_dim On d_date_sk = inv_date_sk Join catalog_sales On cs_item_sk = i_item_sk Where i_current_price <= 75 + 30 And inv_quantity_on_hand Between 100 And 500 And d_date Between CAST('2000-05-01' As DATE) And (CAST('2000-05-01' As DATE) + INTERVAL '60 days') And i_current_price >= 75 And i_manufact_id In (27, 394, 425, 158) Group By i_item_id, i_item_desc, i_current_price Order By i_item_id Limit 100; | tpcds |
SELECT AVG(ss_coupon_amt) AS agg3, AVG(ss_list_price) AS agg2, AVG(ss_sales_price) AS agg4, AVG(ss_quantity) AS agg1, 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 d_year = 2000 AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = 'Advanced Degree' AND cd_marital_status = 'W' AND cd_gender = 'F' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE k.id = mk.keyword_id AND ci.movie_id = mc.movie_id AND an.person_id = n.id AND k.keyword = 'anime' AND rt.role = 'actress' AND ct.id = mc.company_type_id AND n.gender = 'f' AND ci.note LIKE '%(voice: English version)%' AND ci.person_id = an.person_id AND t.production_year > 1990 AND mk.movie_id = ci.movie_id AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(Japan)%' AND n.id = ci.person_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.role_id = rt.id AND mk.movie_id = mc.movie_id AND cn.id = mc.company_id AND cn.country_code = '[jp]' AND t.id = ci.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.id = mi.movie_id AND k.keyword LIKE '%sequel%' AND mk.movie_id = mi.movie_id 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 t.production_year > 2005 LIMIT 1000; | job |
SELECT AVG(l_discount) AS avg_disc, SUM(l_quantity) AS sum_qty, AVG(l_extendedprice) AS avg_price, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_returnflag, COUNT(*) AS count_order, l_linestatus, SUM(l_extendedprice) AS sum_base_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 |
WITH _q AS ( SELECT i_item_id, SUM(CASE WHEN (CAST(d_date AS DATE) >= CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_after, 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, w_state FROM catalog_sales LEFT JOIN catalog_returns ON cs_order_number = cr_order_number AND cs_item_sk = cr_item_sk JOIN warehouse ON cs_warehouse_sk = w_warehouse_sk JOIN item ON i_item_sk = cs_item_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk WHERE i_current_price BETWEEN 74.26 AND 74.26 + 1.49 AND d_date BETWEEN (CAST('2000-03-11' AS DATE) - INTERVAL '30 days') AND (CAST('2000-03-11' AS DATE) + INTERVAL '30 days') GROUP BY w_state, i_item_id ORDER BY w_state, i_item_id LIMIT 100 ) SELECT * FROM _q; | tpcds |
Select p_type, p_size, Count(Distinct ps_suppkey) As supplier_cnt, p_brand From partsupp, part Where p_size In (1, 1, 1, 1, 1, 1, 1, 1) AND p_brand <> 1 AND p_partkey = ps_partkey AND ps_suppkey Not In ( Select s_suppkey From supplier Where s_comment Like '%Customer%Complaints%' ) AND p_type Not Like 1 Group By p_brand, p_type, p_size Order By supplier_cnt Desc, p_brand, p_type, p_size | tpch |
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 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 AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND hd_vehicle_count > 0 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(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND k.id = mk.keyword_id AND k.keyword LIKE '%sequel%' AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.production_year > 2000 LIMIT 100; | job |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE rt.role = 'actress' AND t.id = ci.movie_id AND cn.country_code = '[us]' AND n.id = ci.person_id AND mc.note LIKE '%(USA)%' AND mi.movie_id = mc.movie_id AND an.person_id = n.id AND it.info = 'release dates' AND ci.person_id = an.person_id AND ci.role_id = rt.id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = mi.movie_id AND it.id = mi.info_type_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND ci.movie_id = mc.movie_id AND t.production_year > 2000 AND chn.id = ci.person_role_id AND n.gender = 'f' AND t.id = mc.movie_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE c.Score = 0 AND p.Id = pl.PostId AND p.Id = ph.PostId AND p.Id = c.PostId AND p.FavoriteCount >= 0 AND pl.LinkTypeId = 1 AND p.Id = v.PostId | stats |
select cc_call_center_id as call_center, cc_name as call_center_name, cc_manager as manager, sum(cr_net_loss) as returns_loss from call_center inner join catalog_returns on cr_call_center_sk = cc_call_center_sk inner join date_dim on cr_returned_date_sk = d_date_sk inner join customer on cr_returning_customer_sk = c_customer_sk inner join customer_address on c_current_addr_sk = ca_address_sk inner join customer_demographics on cr_returning_cdemo_sk = cd_demo_sk inner join household_demographics on cr_returning_hdemo_sk = hd_demo_sk where d_year = 2001 and d_moy = 12 and ( (cd_marital_status = 'S' and cd_education_status = '2 yr Degree') or (hd_buy_potential like '1001-5000%' and ca_gmt_offset = -5) ) and ca_gmt_offset = -5 group by cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status order by returns_loss asc limit 100; | tpcds |
SELECT 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 o_orderdate < DATE 1 + INTERVAL '3' MONTH AND o_orderdate >= DATE 1 AND c_nationkey = n_nationkey AND l_returnflag = 'R' AND l_orderkey = o_orderkey AND c_custkey = o_custkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.keyword LIKE '%sequel%' AND k.id = mk.keyword_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mi.movie_id AND t.production_year > 2010 | job |
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 t.production_year >= 2000 AND t.production_year <= 2005 AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND it.info ='rating' AND mi_idx.info > '8.0' | job |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, posts AS p, postHistory AS ph, votes AS v, users AS u WHERE ph.UserId = v.UserId AND p.Score <= 13 AND c.UserId = p.OwnerUserId AND p.AnswerCount >= 0 AND p.OwnerUserId = ph.UserId AND u.Id = c.UserId ) SELECT * FROM _q; | stats |
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 mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mi.movie_id AND t.id = mk.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND t.production_year > 2000 | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(t.title) AS marvel_movie, MIN(n.name) AS actor_name FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.production_year > 2010 AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND k.keyword = 'marvel-cinematic-universe' AND k.id = mk.keyword_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 ci.movie_id = mc.movie_id AND an.person_id = ci.person_id AND t.episode_nr < 100 AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = t.id AND n.id = ci.person_id AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id AND an.person_id = n.id AND k.keyword = 'character-name-IN-title' AND t.episode_nr >= 50 AND cn.country_code = '[us]' AND mk.keyword_id = k.id | job |
Select s_phone, s_name, total_revenue, s_address, 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 ss_ticket_number, c_preferred_cust_flag, cnt, c_salutation, c_first_name, 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 hd_vehicle_count > 0 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND d_year IN (1999, 2001, 2002) AND s_county IN ('Williamson County', 'Daviess County', 'Oglethorpe County', 'Maricopa County') 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 MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_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 p_partkey = l_partkey And s_suppkey = l_suppkey And ps_suppkey = l_suppkey And s_nationkey = n_nationkey And p_name Like 1 ) As profit And o_orderkey = l_orderkey And ps_partkey = l_partkey Group By nation, o_year Order By nation, o_year Desc | tpch |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, users as u where p.AnswerCount >= 0 and p.PostTypeId = 1 and p.Id = v.PostId and p.Id = c.PostId and p.Id = pl.PostId and p.Id = ph.PostId and u.Id = p.OwnerUserId | stats |
Select bought_city, ca_city, list_price, c_first_name, extended_price, ss_ticket_number, extended_tax, c_last_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 In (6, 0) And d_year In (1999, 2002, 2003) And s_city In ('Clinton', 'Oak Grove') Group By ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) As dn Join customer On ss_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = customer_address.ca_address_sk Where ca_city <> bought_city Order By c_last_name, ss_ticket_number Limit 100; | tpcds |
SELECT s_comment, s_acctbal, p_partkey, n_name, s_address, p_mfgr, s_name, s_phone 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 |
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