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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.id = mk.keyword_id AND t.id = mi.movie_id AND t.production_year > 2000 AND t.id = mk.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.keyword LIKE '%sequel%'; | 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 kt.kind IN ('movie', 'episode') AND mi.movie_id = mc.movie_id AND cn.country_code != '[us]' AND it1.id = mi.info_type_id AND t.id = mk.movie_id AND ct.id = mc.company_type_id AND mk.movie_id = mi.movie_id AND it2.info = 'rating' AND mi.movie_id = mi_idx.movie_id AND it1.info = 'countries' AND t.id = mi_idx.movie_id AND mc.note LIKE '%(200%)%' AND t.production_year > 2008 AND mk.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.id = mc.movie_id AND mi_idx.info < '7.0' AND cn.id = mc.company_id AND t.id = mi.movie_id AND k.id = mk.keyword_id AND kt.id = t.kind_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mk.movie_id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mc.movie_id = mi_idx.movie_id AND it2.id = mi_idx.info_type_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 o_orderdate >= DATE 1 AND l_returnflag = 'R' AND c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_orderkey = o_orderkey 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 s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE n_name = 1 AND l1.l_receiptdate > l1.l_commitdate AND o_orderkey = l1.l_orderkey AND o_orderstatus = 'F' AND s_suppkey = l1.l_suppkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND 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 GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT cc_manager AS manager, cc_call_center_id AS call_center, SUM(cr_net_loss) AS returns_loss, cc_name AS call_center_name FROM call_center INNER JOIN catalog_returns ON cr_call_center_sk = cc_call_center_sk INNER JOIN date_dim ON cr_returned_date_sk = d_date_sk INNER JOIN customer ON cr_returning_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = ca_address_sk INNER JOIN customer_demographics ON cr_returning_cdemo_sk = cd_demo_sk INNER JOIN household_demographics ON cr_returning_hdemo_sk = hd_demo_sk WHERE d_year = 1999 AND d_moy = 11 AND ( (cd_marital_status = 'M' AND cd_education_status = '4 yr Degree') OR (hd_buy_potential LIKE '1001-5000%' AND ca_gmt_offset = -7) ) AND ca_gmt_offset = -7 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 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 an.person_id = ci.person_id AND it.id = pi.info_type_id AND lt.link = 'features' AND pi.person_id = an.person_id AND n.id = pi.person_id AND lt.id = ml.link_type_id AND it.info = 'mini biography' AND ml.linked_movie_id = t.id AND ci.movie_id = ml.linked_movie_id AND pi.person_id = ci.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND t.production_year BETWEEN 1980 AND 1995 AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND an.name LIKE '%a%' AND t.id = ci.movie_id AND n.id = an.person_id AND ci.person_id = n.id | 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 n.gender = 'f' AND ci.person_id = an.person_id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND mc.note LIKE '%(USA)%' AND mi.movie_id = mc.movie_id AND t.id = mc.movie_id AND cn.id = mc.company_id AND mi.movie_id = ci.movie_id AND t.id = ci.movie_id AND cn.country_code = '[us]' AND it.info = 'release dates' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.production_year > 2000 AND an.person_id = n.id AND it.id = mi.info_type_id AND ci.role_id = rt.id AND t.id = mi.movie_id AND ci.movie_id = mc.movie_id | job |
WITH year_total AS ( SELECT c_customer_id AS customer_id, d_year AS dyear, c_first_name AS customer_first_name, c_last_name AS customer_last_name, c_login AS customer_login, c_email_address AS customer_email_address, c_birth_country AS customer_birth_country, c_preferred_cust_flag AS customer_preferred_cust_flag, 's' AS sale_type, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total 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 2000 AND 2000 + 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 = 2000 AND t_s_secyear.dyear = 2000 + 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 avg(l_discount) as avg_disc, 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)) as sum_disc_price, l_returnflag, sum(l_quantity) as sum_qty, sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) as sum_charge, l_linestatus from lineitem where l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY group by l_returnflag, l_linestatus order by l_returnflag, l_linestatus | tpch |
SELECT 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 n.name_pcode_cf BETWEEN 'A' AND 'F' AND n.id = pi.person_id AND ci.person_id = n.id AND lt.link = 'features' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND n.id = an.person_id AND pi.note = 'Volker Boehm' AND ml.linked_movie_id = t.id AND an.name LIKE '%a%' AND pi.person_id = ci.person_id AND t.production_year BETWEEN 1980 AND 1995 AND t.id = ci.movie_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND ci.movie_id = ml.linked_movie_id AND an.person_id = ci.person_id AND it.info = 'mini biography' | 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 cn.country_code = '[de]' AND kt.kind = 'movie' AND miidx.movie_id = t.id AND mc.movie_id = t.id AND it.info = 'rating' AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND ct.kind = 'production companies' AND mi.movie_id = mc.movie_id AND it.id = miidx.info_type_id AND kt.id = t.kind_id AND it2.info = 'release dates' AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND miidx.movie_id = mc.movie_id AND mi.movie_id = miidx.movie_id | job |
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 c_nationkey = s_nationkey AND o_orderdate >= DATE 1 AND n_regionkey = r_regionkey AND c_custkey = o_custkey AND s_nationkey = n_nationkey AND l_suppkey = s_suppkey AND l_orderkey = o_orderkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT cust_nation, l_year, 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 c_nationkey = n2.n_nationkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND c_custkey = o_custkey AND s_nationkey = n1.n_nationkey 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 | 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 l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND c_nationkey = n2.n_nationkey AND c_custkey = o_custkey AND o_orderkey = l_orderkey AND s_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT AVG(l_quantity) AS avg_qty, AVG(l_discount) AS avg_disc, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, l_returnflag, SUM(l_extendedprice) AS sum_base_price, COUNT(*) AS count_order, AVG(l_extendedprice) AS avg_price, l_linestatus FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT 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 it.info = 'top 250 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE it.info = 'top 250 rank' AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND it.id = mi_idx.info_type_id | job |
select p_brand, p_type, p_size, 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_partkey = ps_partkey and p_size in (1, 1, 1, 1, 1, 1, 1, 1) and p_type not like 1 group by p_brand, p_type, p_size order by supplier_cnt asc, p_brand, p_type, p_size | tpch |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, users AS u, badges AS b WHERE u.Id = b.UserId AND p.OwnerUserId = u.Id AND u.Reputation >= 1 AND ph.UserId = u.Id AND ph.PostHistoryTypeId = 3 AND p.Score >= -7 LIMIT 1000; | stats |
Select Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v Where p.FavoriteCount >= 0 And p.Id = c.PostId And pl.LinkTypeId = 1 And p.Id = ph.PostId And p.Id = pl.PostId And p.Id = v.PostId And c.Score = 0 | stats |
WITH year_total AS ( SELECT c_login AS customer_login, c_customer_id AS customer_id, d_year AS dyear, c_preferred_cust_flag AS customer_preferred_cust_flag, c_birth_country AS customer_birth_country, c_first_name AS customer_first_name, c_email_address AS customer_email_address, c_last_name AS customer_last_name, 's' AS sale_type, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total 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 2000 AND 2000 + 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 = 2000 AND t_s_secyear.dyear = 2000 + 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 COUNT(*) FROM postHistory AS ph, posts AS p, users AS u, badges AS b WHERE ph.PostHistoryTypeId = 3 AND p.Score >= -7 AND p.OwnerUserId = u.Id AND u.Id = b.UserId AND ph.UserId = u.Id AND u.Reputation >= 1 LIMIT 10; | stats |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where t.production_year > 2005 and t.id = mk.movie_id and mk.movie_id = mi.movie_id and mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') and k.id = mk.keyword_id and k.keyword like '%sequel%' and t.id = mi.movie_id | job |
select min(t.title) as movie_title from company_name as cn, keyword as k, movie_companies as mc, movie_keyword as mk, title as t where k.keyword ='character-name-in-title' and t.id = mk.movie_id and mc.movie_id = mk.movie_id and mk.keyword_id = k.id and mc.movie_id = t.id and cn.id = mc.company_id and cn.country_code ='[nl]' | job |
SELECT s_store_name, SUM(ss_quantity) AS store_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, i_item_id, SUM(cs_quantity) AS catalog_sales_quantity, s_store_id, i_item_desc FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_moy = 3 AND d3.d_moy >= 3 AND d3.d_moy <= 3 + 3 AND d2.d_moy BETWEEN 3 AND 3 + 3 AND d1.d_year = 2001 AND d3.d_year = 2001 AND d2.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 min(t.title) as american_movie from company_type as ct, info_type as it, movie_companies as mc, movie_info as mi, title as t where ct.kind = 'production companies' and it.info = 'bottom 10 rank' and mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' and (mc.note like '%(co-production)%' or mc.note like '%(presents)%') and ct.id = mc.company_type_id and t.id = mc.movie_id and t.id = mi.movie_id and mc.movie_id = mi.movie_id and it.id = mi.info_type_id limit 1000; | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' AND o_orderkey = l1.l_orderkey 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 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 ) GROUP BY s_name ORDER BY numwait DESC, s_name; | tpch |
SELECT p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_brand, p_type 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 | tpch |
SELECT STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, COUNT(sr_return_quantity) AS store_returns_quantitycount, s_state, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, AVG(cs_quantity) AS catalog_sales_quantityave, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, i_item_id, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, i_item_desc FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '2000Q1' AND d2.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') AND d3.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT MIN(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 t.production_year > 2000 AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German']) AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND k.id = mk.keyword_id AND t.id = mi.movie_id | job |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.id = mc.company_type_id AND it.id = mi.info_type_id AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi.movie_id AND mc.movie_id = mi.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'bottom 10 rank' AND t.id = mc.movie_id | job |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE mk.movie_id = mc.movie_id AND it1.id = mi.info_type_id AND t.id = mk.movie_id AND kt.id = t.kind_id AND mc.note LIKE '%(200%)%' AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND it1.info = 'countries' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND it2.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(USA)%' AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it2.info = 'rating' AND ct.id = mc.company_type_id AND t.production_year > 2008 AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND mi_idx.info < '7.0' AND cn.country_code != '[us]' AND t.id = mc.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND kt.kind IN ('movie', 'episode') AND cn.id = mc.company_id | job |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where k.id = mk.keyword_id and t.id = mi.movie_id and mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') and k.keyword like '%sequel%' and t.production_year > 2005 and mk.movie_id = mi.movie_id and t.id = mk.movie_id | job |
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 INNER JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN item ON ss_item_sk = i_item_sk INNER JOIN promotion ON ss_promo_sk = p_promo_sk WHERE (p_channel_email = 'N' OR p_channel_event = 'N') AND d_year = 2000 AND cd_gender = 'F' AND cd_marital_status = 'W' AND cd_education_status = 'Advanced Degree' GROUP BY i_item_id ORDER BY i_item_id; | tpcds |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_year IN (1999, 2001, 2002) AND s_county IN ('Williamson County', 'Daviess County', 'Oglethorpe County', 'Maricopa County') AND d_dom BETWEEN 1 AND 2 AND hd_vehicle_count > 0 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt ASC LIMIT 1000; | tpcds |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_receiptdate >= DATE 1 AND l_shipdate < l_commitdate AND l_commitdate < l_receiptdate AND l_shipmode IN (1, 1) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND o_orderkey = l_orderkey GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 200; | 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 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 t.id = mi.movie_id | job |
SELECT COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, l_returnflag, AVG(l_discount) AS avg_disc, l_linestatus, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice) AS sum_base_price, AVG(l_quantity) AS avg_qty, AVG(l_extendedprice) AS avg_price FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
Select i_manufact_id, Sum(ss_ext_sales_price) As ext_price, i_brand_id As brand_id, i_brand As brand, i_manufact From date_dim INNER JOIN store_sales On d_date_sk = ss_sold_date_sk INNER JOIN item On ss_item_sk = i_item_sk INNER JOIN customer On ss_customer_sk = c_customer_sk INNER JOIN customer_address On c_current_addr_sk = ca_address_sk INNER JOIN store On ss_store_sk = s_store_sk Where i_manager_id = 12 And d_year = 1999 And d_moy = 11 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 Limit 100; | tpcds |
SELECT i_manufact, i_brand_id AS brand_id, i_manufact_id, i_brand AS brand, 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_year = 1999 AND d_moy = 11 AND i_manager_id = 73 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 LIMIT 100; | tpcds |
SELECT SUM(amount) AS sum_profit, nation, o_year 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_nationkey = n_nationkey AND ps_suppkey = l_suppkey AND p_partkey = l_partkey AND ps_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND s_suppkey = l_suppkey AND o_orderkey = l_orderkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.id = mc.company_type_id AND ct.kind = 'production companies' AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.Id = ph.PostId AND u.Id = p.OwnerUserId AND p.AnswerCount >= 0 AND p.PostTypeId = 1 AND p.Id = v.PostId AND p.Id = c.PostId AND p.Id = pl.PostId LIMIT 50; | stats |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND c_nationkey = s_nationkey AND l_suppkey = s_suppkey AND s_nationkey = n_nationkey AND c_custkey = o_custkey AND o_orderdate >= DATE 1 AND r_name = 1 AND n_regionkey = r_regionkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_size = 1 AND n_regionkey = r_regionkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND p_type LIKE 1 AND p_partkey = ps_partkey AND r_name = 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_quantity) AS sum_qty, AVG(l_discount) AS avg_disc, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_extendedprice) AS sum_base_price, AVG(l_quantity) AS avg_qty, l_returnflag, l_linestatus, COUNT(*) AS count_order FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
Select 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 o_orderkey = l_orderkey And ps_suppkey = l_suppkey And ps_partkey = l_partkey And s_nationkey = n_nationkey And p_partkey = l_partkey And p_name Like 1 ) As profit 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 where p.Id = v.PostId AND p.FavoriteCount >= 0 AND c.Score = 0 AND p.Id = pl.PostId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 AND p.Id = c.PostId | stats |
SELECT COUNT(*) FROM comments AS c, posts AS p, users AS u WHERE p.ViewCount >= 0 AND p.FavoriteCount >= 0 AND c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND c.UserId = u.Id AND u.Id = p.OwnerUserId AND p.CommentCount >= 0 LIMIT 1000; | stats |
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 s_nationkey = n_nationkey AND ps_suppkey = l_suppkey AND p_name like 1 ) as profit AND s_suppkey = l_suppkey group by nation, o_year order by nation, o_year desc | tpch |
select sum(l_quantity) as sum_qty, avg(l_quantity) as avg_qty, sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) as sum_charge, sum(l_extendedprice) as sum_base_price, avg(l_discount) as avg_disc, sum(l_extendedprice * (1 - l_discount)) as sum_disc_price, l_linestatus, count(*) as count_order, avg(l_extendedprice) as avg_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 AVG(ss_coupon_amt) AS agg3, i_item_id, AVG(ss_sales_price) AS agg4, AVG(ss_list_price) AS agg2, AVG(ss_quantity) AS agg1 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 = 'F' AND cd_marital_status = 'W' AND d_year = 2000 AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = 'Advanced Degree' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | 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 mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND (mc.note like '%(co-production)%' or mc.note like '%(presents)%') 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 p.Id = pl.PostId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 AND c.Score = 0 AND p.FavoriteCount >= 0 AND p.Id = c.PostId AND p.Id = v.PostId | 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 c.UserId = u.Id AND b.UserId = u.Id AND p.Id = c.PostId AND pl.LinkTypeId = 1 AND p.Id = ph.PostId AND p.Score <= 40 AND p.Id = pl.RelatedPostId AND p.Id = v.PostId | stats |
SELECT cust_nation, l_year, 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 s_suppkey = l_suppkey AND o_orderkey = l_orderkey AND c_custkey = o_custkey AND s_nationkey = n1.n_nationkey AND c_nationkey = n2.n_nationkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year LIMIT 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 ci.movie_id = mk.movie_id AND t.id = ci.movie_id AND n.id = ci.person_id AND n.name LIKE '%Downey%Robert%' AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND t.production_year > 2010 AND k.id = mk.keyword_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 t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it2.id = mi_idx.info_type_id AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND mi.movie_id = mi_idx.movie_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND t.id = mk.movie_id AND it1.id = mi.info_type_id AND t.production_year > 2008 AND mk.movie_id = mi_idx.movie_id AND kt.kind IN ('movie', 'episode') AND t.id = mc.movie_id AND kt.id = t.kind_id AND it2.info = 'rating' AND cn.country_code != '[us]' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it1.info = 'countries' AND k.id = mk.keyword_id AND mi_idx.info < '7.0' AND mk.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND mi.movie_id = mc.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mc.note LIKE '%(200%)%' | 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 t.id = mk.movie_id AND cn.id = mc.company_id AND cn.country_code ='[de]' AND mc.movie_id = mk.movie_id AND k.keyword ='character-name-in-title' AND mk.keyword_id = k.id AND mc.movie_id = t.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 mc.company_id = cn.id AND cn.country_code = '[us]' AND mc.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND an.person_id = ci.person_id AND k.keyword = 'character-name-in-title' AND n.id = ci.person_id AND mk.keyword_id = k.id AND ci.movie_id = mc.movie_id AND an.person_id = n.id AND t.id = mk.movie_id AND t.episode_nr < 100 | job |
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 INNER JOIN store_sales ON d_date_sk = ss_sold_date_sk INNER JOIN item ON ss_item_sk = i_item_sk INNER JOIN customer ON ss_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = ca_address_sk INNER JOIN store ON ss_store_sk = s_store_sk WHERE substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND d_year = 1999 AND d_moy = 11 AND i_manager_id = 12 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 |
WITH _q AS ( SELECT SUM(l_extendedprice * l_discount) AS revenue FROM lineitem WHERE l_shipdate >= DATE 1 AND l_shipdate < DATE 1 + INTERVAL '1' YEAR AND l_discount BETWEEN 1 - 0.01 AND 1 + 0.01 AND l_quantity < 1 LIMIT 10 ) SELECT * FROM _q; | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE c_nationkey = s_nationkey AND r_name = 1 AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND o_orderdate >= DATE 1 AND l_suppkey = s_suppkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR GROUP BY n_name ORDER BY revenue DESC | tpch |
WITH _q AS ( SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.name LIKE '%Downey%Robert%' AND t.id = mk.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id ) SELECT * FROM _q; | 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 ci.person_id = n.id AND t.id = ci.movie_id AND n.id = an.person_id AND ci.movie_id = ml.linked_movie_id AND pi.note = 'Volker Boehm' AND it.id = pi.info_type_id AND n.id = pi.person_id AND an.person_id = ci.person_id AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND lt.id = ml.link_type_id AND an.name LIKE '%a%' AND t.production_year BETWEEN 1980 AND 1995 AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND it.info = 'mini biography' AND ml.linked_movie_id = t.id | job |
SELECT p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_type, p_brand FROM partsupp, part WHERE p_type NOT LIKE 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_brand <> 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 | tpch |
WITH _q AS ( SELECT SUM(l_extendedprice) / 7.0 AS avg_yearly FROM lineitem, part WHERE p_container = 1 AND p_partkey = l_partkey AND p_brand = 1 AND l_quantity < ( SELECT 0.2 * AVG(l_quantity) FROM lineitem WHERE l_partkey = p_partkey ) ) SELECT * FROM _q; | tpch |
SELECT AVG(cs_coupon_amt) AS agg3, AVG(cs_sales_price) AS agg4, AVG(cs_quantity) AS agg1, i_item_id, 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_gender = 'M' AND d_year = 2000 AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_marital_status = 'S' AND cd_education_status = '4 yr Degree' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
Select Count(*) From comments As c, posts As p, postHistory As ph, votes As v, users As u Where u.Id = c.UserId And ph.UserId = v.UserId And p.Score <= 13 And p.AnswerCount >= 0 And c.UserId = p.OwnerUserId And p.OwnerUserId = ph.UserId | stats |
SELECT s_name, COUNT(1) AS numwait FROM supplier, lineitem l1, orders, nation WHERE o_orderkey = l1.l_orderkey 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 s_suppkey = l1.l_suppkey AND l1.l_receiptdate > l1.l_commitdate AND s_nationkey = n_nationkey AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
select COUNT(1) from postHistory as ph, posts as p, votes as v, badges as b, users as u, comments as c where p.Id = c.PostId and p.Id = ph.PostId and u.Id = b.UserId and p.Id = v.PostId and p.Score <= 192 and u.Id = p.OwnerUserId and p.ViewCount >= 0 | stats |
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 n_regionkey = r_regionkey AND c_custkey = o_custkey AND r_name = 1 AND l_suppkey = s_suppkey AND l_orderkey = o_orderkey AND c_nationkey = s_nationkey AND o_orderdate >= DATE 1 AND s_nationkey = n_nationkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE rt.role = 'actress' AND mc.note NOT LIKE '%(USA)%' AND t.id = mc.movie_id AND cn.country_code = '[jp]' AND mc.note LIKE '%(Japan)%' AND an1.person_id = ci.person_id AND ci.note = '(voice: English version)' AND ci.movie_id = mc.movie_id AND n1.id = ci.person_id AND ci.movie_id = t.id AND ci.role_id = rt.id AND mc.company_id = cn.id AND n1.name NOT LIKE '%Yu%' AND n1.name LIKE '%Yo%' AND an1.person_id = n1.id | 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 o_orderkey = l_orderkey AND 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 s_nationkey = n1.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) ) 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 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 cn.country_code = '[us]' AND t.id = at.movie_id AND mi_idx.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND at.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND t.production_year > 2000 AND it1.info = 'rating' AND mi_idx.info < '3.5' AND at.title LIKE '%Champion%' AND at.movie_id = mi.movie_id AND kt.id = t.kind_id AND t.id = mi.movie_id AND it2.info = 'release dates' AND t.id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND kt.kind = 'movie' AND cn.id = mc.company_id AND it1.id = mi_idx.info_type_id AND mi.info LIKE 'USA:%200%' AND at.movie_id = mc.movie_id | job |
SELECT AVG(cs_sales_price) AS agg4, i_item_id, AVG(cs_coupon_amt) AS agg3, AVG(cs_list_price) AS agg2, AVG(cs_quantity) AS agg1 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 (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = 'Advanced Degree' AND d_year = 2002 AND cd_gender = 'M' AND cd_marital_status = 'S' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | 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 (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' | job |
SELECT MIN(t.title) AS western_sequel, MIN(cn.name) AS from_company, MIN(lt.link) AS link_type FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE ml.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND lt.id = ml.link_type_id AND t.production_year > 1950 AND t.id = mc.movie_id AND lt.link LIKE '%follow%' AND mc.note LIKE '%(USA)%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND ct.id = mc.company_type_id AND k.id = mk.keyword_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mk.movie_id AND cn.country_code = '[us]' AND mk.movie_id = mc.movie_id AND mi.note LIKE '%internet%' AND it.info = 'release dates' AND it.id = mi.info_type_id AND cn.id = mc.company_id AND mi.info LIKE 'USA:% 199%' AND ml.movie_id = mk.movie_id AND t.id = ml.movie_id AND mi.movie_id = t.id | job |
SELECT i_current_price, i_item_id, i_item_desc FROM item JOIN inventory ON i_item_sk = inv_item_sk JOIN date_dim ON d_date_sk = inv_date_sk JOIN catalog_sales ON cs_item_sk = i_item_sk WHERE inv_quantity_on_hand BETWEEN 100 AND 500 AND i_current_price BETWEEN 75 AND 75 + 30 AND d_date BETWEEN CAST('2000-05-01' AS DATE) AND (CAST('2000-05-01' AS DATE) + INTERVAL '60 days') 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 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 ci.movie_id = ml.linked_movie_id AND lt.link = 'features' AND t.id = ci.movie_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND it.info = 'mini biography' AND an.person_id = ci.person_id AND pi.person_id = ci.person_id AND n.id = pi.person_id AND pi.note = 'Volker Boehm' AND n.id = an.person_id AND ci.person_id = n.id AND t.production_year BETWEEN 1980 AND 1995 AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND ml.linked_movie_id = t.id AND an.name LIKE '%a%' AND lt.id = ml.link_type_id | job |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE o_orderdate >= DATE 1 AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND c_nationkey = s_nationkey AND l_orderkey = o_orderkey AND r_name = 1 AND l_suppkey = s_suppkey GROUP BY n_name ORDER BY revenue ASC | tpch |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE ps_partkey = l_partkey AND o_orderkey = l_orderkey AND p_partkey = l_partkey 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 AVG(l_extendedprice) AS avg_price, l_returnflag, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, 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(*) AS count_order, AVG(l_discount) AS avg_disc, SUM(l_extendedprice) AS sum_base_price FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus LIMIT 50; | tpch |
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 p_partkey = l_partkey AND s_suppkey = l_suppkey AND l_orderkey = o_orderkey AND o_custkey = c_custkey AND c_nationkey = n1.n_nationkey AND n1.n_regionkey = r_regionkey AND r_name = 1 AND s_nationkey = n2.n_nationkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_type = 1 ) AS all_nations GROUP BY o_year ORDER BY o_year LIMIT 10; | tpch |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note LIKE '%(voice)%' AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND chn.id = ci.person_role_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND t.production_year > 2005 AND rt.id = ci.role_id AND cn.country_code = '[ru]' AND ci.note LIKE '%(uncredited)%' AND rt.role = 'actor' | 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 kt.kind = 'movie' AND it2.info = 'release dates' AND cn.country_code = '[de]' AND mi.movie_id = t.id AND kt.id = t.kind_id AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND it.id = miidx.info_type_id AND miidx.movie_id = t.id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND it.info = 'rating' AND miidx.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND mi.movie_id = miidx.movie_id AND mc.movie_id = t.id LIMIT 10; | 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 t.id = mi_idx.movie_id AND t.production_year > 2008 AND mi.movie_id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it2.info = 'rating' AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND mi_idx.info < '7.0' AND t.id = mk.movie_id AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = mi.movie_id AND it2.id = mi_idx.info_type_id AND kt.id = t.kind_id AND it1.id = mi.info_type_id AND cn.country_code != '[us]' AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND k.id = mk.keyword_id AND ct.id = mc.company_type_id AND mc.note LIKE '%(200%)%' AND mk.movie_id = mc.movie_id AND kt.kind IN ('movie', 'episode') AND t.id = mc.movie_id AND t.id = mi.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mk.movie_id = mi_idx.movie_id AND it1.info = 'countries' | job |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, users as u where p.Id = pl.PostId AND p.Id = v.PostId AND p.Id = ph.PostId AND p.Id = c.PostId AND u.Id = p.OwnerUserId AND p.AnswerCount >= 0 AND p.PostTypeId = 1 | stats |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where mk.movie_id = mi.movie_id And t.production_year > 2010 And t.id = mi.movie_id And mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German']) And k.id = mk.keyword_id And k.keyword Like '%sequel%' And t.id = mk.movie_id Limit 10; | 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 ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id | job |
WITH year_total AS ( SELECT c_customer_id AS customer_id, d_year AS dyear, c_login AS customer_login, c_birth_country AS customer_birth_country, 's' AS sale_type, c_preferred_cust_flag AS customer_preferred_cust_flag, c_last_name AS customer_last_name, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_first_name AS customer_first_name, c_email_address AS customer_email_address FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
SELECT c_address, c_phone, c_comment, c_acctbal, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_name, n_name, c_custkey 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 AVG(cs_coupon_amt) AS agg3, AVG(cs_list_price) AS agg2, AVG(cs_sales_price) AS agg4, i_item_id, AVG(cs_quantity) AS agg1 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 d_year = 2000 AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'M' AND cd_education_status = 'Advanced Degree' AND cd_marital_status = 'W' GROUP BY i_item_id ORDER BY i_item_id 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 n1.id = ci.person_id AND an1.person_id = n1.id AND mc.company_id = cn.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND cn.country_code = '[jp]' AND n1.name LIKE '%Yo%' AND ci.movie_id = t.id AND ci.note = '(voice: English version)' AND ci.role_id = rt.id AND n1.name NOT LIKE '%Yu%' AND an1.person_id = ci.person_id AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(Japan)%' | job |
SELECT SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, l_shipmode FROM orders, lineitem WHERE l_shipdate < l_commitdate AND o_orderkey = l_orderkey AND l_shipmode IN (1, 1) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT extended_tax, extended_price, ss_ticket_number, bought_city, c_last_name, ca_city, c_first_name, 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 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 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 it2.info = 'release dates' AND it1.id = mi_idx.info_type_id AND t.id = at.movie_id AND mi_idx.info < '3.5' AND at.title LIKE '%Champion%' AND t.production_year > 2000 AND cn.id = mc.company_id AND mi.info LIKE 'USA:%200%' AND kt.kind = 'movie' AND t.id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND it1.info = 'rating' AND it2.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND kt.id = t.kind_id AND t.id = mi_idx.movie_id AND at.movie_id = mi.movie_id AND t.id = mi.movie_id AND at.movie_id = mc.movie_id AND cn.country_code = '[us]' AND at.movie_id = mi_idx.movie_id AND mi_idx.movie_id = mc.movie_id LIMIT 50; | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code ='[nl]' AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND cn.id = mc.company_id AND k.keyword ='character-name-in-title' AND mc.movie_id = t.id | job |
Select ca_zip, Sum(cs_sales_price) From catalog_sales Join customer On cs_bill_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join date_dim On cs_sold_date_sk = d_date_sk Where d_qoy = 1 And (SUBSTR(ca_zip, 1, 5) In ( '85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792' ) Or ca_state In ('TX', 'NY', 'FL') Or cs_sales_price > 354) And d_year = 2002 Group By ca_zip Order By ca_zip Limit 100; | tpcds |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mc.movie_id AND it1.info = 'rating' AND cn.id = mc.company_id AND t.id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND it1.id = mi_idx.info_type_id AND cn.country_code = '[us]' AND mi.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND at.movie_id = mc.movie_id AND kt.kind = 'movie' AND t.id = at.movie_id AND it2.info = 'release dates' AND at.title LIKE '%Champion%' AND mi_idx.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND t.production_year > 2000 AND at.movie_id = mi.movie_id AND at.movie_id = mi_idx.movie_id AND mi_idx.info < '3.5' LIMIT 10; | job |
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