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SELECT c_salutation, ss_ticket_number, cnt, c_preferred_cust_flag, c_last_name, c_first_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_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.85 AND hd_vehicle_count > 0 AND s_county IN ('Williamson County', 'Barrow County', 'Placer County') AND d_year = ANY(ARRAY[2001, 2000, 2002]) 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 SUM(l_extendedprice) AS sum_base_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_extendedprice) AS avg_price, AVG(l_quantity) AS avg_qty, AVG(l_discount) AS avg_disc, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_linestatus, SUM(l_quantity) AS sum_qty, l_returnflag FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT MAX(an.name) AS cool_actor_pseudonym, MAX(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 k.keyword = 'character-name-IN-title' AND mk.keyword_id = k.id AND t.episode_nr < 100 AND mc.movie_id = mk.movie_id AND mc.company_id = cn.id AND ci.movie_id = t.id AND t.episode_nr >= 50 AND an.person_id = ci.person_id AND t.id = mc.movie_id AND an.person_id = n.id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND t.id = mk.movie_id AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' | job |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE r_name = 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND c_custkey = o_custkey AND c_nationkey = s_nationkey AND o_orderdate >= DATE 1 AND l_orderkey = o_orderkey AND l_suppkey = s_suppkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT SUM(ss_quantity) AS store_sales_quantity, i_item_id, SUM(cs_quantity) AS catalog_sales_quantity, i_item_desc, SUM(sr_return_quantity) AS store_returns_quantity, s_store_name, s_store_id FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_moy = 5 AND d1.d_year = 2000 AND d2.d_year = 2000 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d3.d_year = 2000 AND d2.d_moy BETWEEN 5 AND 5 + 3 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT MAX(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND t.production_year > 2010 AND k.keyword LIKE '%sequel%' AND k.id = mk.keyword_id LIMIT 500; | job |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND c_custkey = o_custkey AND c_nationkey = s_nationkey AND r_name = 1 AND l_suppkey = s_suppkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR GROUP BY n_name ORDER BY revenue ASC | tpch |
SELECT l_orderkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, o_shippriority FROM customer, orders, lineitem WHERE l_shipdate > DATE 1 AND o_orderdate < DATE 1 AND c_mktsegment = 1 AND c_custkey = o_custkey AND l_orderkey = o_orderkey GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate; | tpch |
SELECT l_orderkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, o_shippriority FROM customer, orders, lineitem WHERE l_shipdate > DATE 1 AND o_orderdate < DATE 1 AND c_custkey = o_custkey AND c_mktsegment = 1 AND l_orderkey = o_orderkey GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE o_orderkey = l1.l_orderkey AND n_name = 1 AND l1.l_receiptdate > l1.l_commitdate AND s_nationkey = n_nationkey AND o_orderstatus = 'F' AND s_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 EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT MIN(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 t.id = mk.movie_id AND t.id = mi.movie_id AND k.id = mk.keyword_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND mk.movie_id = mi.movie_id AND k.keyword LIKE '%sequel%' | job |
WITH year_total AS ( SELECT c_customer_id AS customer_id, c_email_address AS customer_email_address, c_last_name AS customer_last_name, d_year AS dyear, 's' AS sale_type, c_first_name AS customer_first_name, c_birth_country AS customer_birth_country, c_login AS customer_login, c_preferred_cust_flag AS customer_preferred_cust_flag, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total 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 COUNT(1) from comments as c, posts as p, users as u where c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND p.FavoriteCount >= 0 AND u.Id = p.OwnerUserId AND p.CommentCount >= 0 AND p.ViewCount >= 0 AND c.UserId = u.Id | stats |
SELECT AVG(ss_ext_wholesale_cost), AVG(ss_quantity), AVG(ss_ext_sales_price), SUM(ss_ext_wholesale_cost) FROM store_sales INNER JOIN store ON s_store_sk = ss_store_sk INNER JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk INNER JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk INNER JOIN customer_address ON ca_address_sk = ss_addr_sk INNER JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE s_market_id = 4 AND d_year = 1999 AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price >= 83 AND ss_sales_price <= 135) OR (cd_marital_status = 'S' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 84 AND 125) OR (cd_marital_status = 'D' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 126 AND 196) ) AND ( (hd_dep_count = 0 AND hd_vehicle_count <= 1) OR (hd_dep_count = 3 AND hd_vehicle_count <= 4) OR (hd_dep_count = 6 AND hd_vehicle_count <= 4) ) AND ca_country = 'United States' AND ca_state IN ('TX', 'WA', 'FL'); | tpcds |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE l1.l_receiptdate > l1.l_commitdate AND o_orderkey = l1.l_orderkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND n_name = 1 AND s_suppkey = l1.l_suppkey AND s_nationkey = n_nationkey AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND o_orderstatus = 'F' GROUP BY s_name ORDER BY numwait ASC, s_name LIMIT 100 | 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 p_partkey = l_partkey AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey AND p_name like 1 ) as profit AND ps_partkey = l_partkey AND s_nationkey = n_nationkey group by nation, o_year order by nation, o_year desc | tpch |
WITH _q AS ( 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 u.Reputation >= 1 AND u.Id = b.UserId AND ph.UserId = u.Id AND p.Score >= -7 ) SELECT * FROM _q; | stats |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE r_name = 1 AND n_regionkey = r_regionkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND l_orderkey = o_orderkey AND c_nationkey = s_nationkey AND s_nationkey = n_nationkey AND o_orderdate >= DATE 1 AND c_custkey = o_custkey AND l_suppkey = s_suppkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND o_orderdate >= DATE 1 AND c_nationkey = s_nationkey AND l_suppkey = s_suppkey AND r_name = 1 AND l_orderkey = o_orderkey AND c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR GROUP BY n_name ORDER BY revenue DESC LIMIT 50; | tpch |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE t.id = mc.movie_id AND ct.id = mc.company_type_id AND t.id = mk.movie_id AND n.gender = 'f' AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND t.production_year > 1990 AND ci.note LIKE '%(voice: English version)%' AND cn.country_code = '[jp]' AND mc.note NOT LIKE '%(USA)%' AND k.keyword = 'anime' AND mk.movie_id = ci.movie_id AND ci.role_id = rt.id AND mc.note LIKE '%(Japan)%' AND n.id = ci.person_id AND cn.id = mc.company_id AND ci.person_id = an.person_id AND t.id = ci.movie_id AND an.person_id = n.id | job |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE lt.link = 'features' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.person_id = ci.person_id AND ml.linked_movie_id = t.id AND t.id = ci.movie_id AND ci.person_id = n.id AND lt.id = ml.link_type_id AND an.name LIKE '%a%' AND pi.note = 'Volker Boehm' AND it.id = pi.info_type_id AND an.person_id = ci.person_id AND n.id = an.person_id AND ci.movie_id = ml.linked_movie_id AND pi.person_id = an.person_id AND it.info = 'mini biography' AND t.production_year BETWEEN 1980 AND 1995 AND n.id = pi.person_id | job |
SELECT list_price, c_first_name, c_last_name, extended_price, ss_ticket_number, ca_city, bought_city, extended_tax FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE d_year IN (2000, 2002, 2001) AND d_dow = ANY(ARRAY[6, 0]) AND (hd_dep_count = 5 OR hd_vehicle_count = 0) 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 i_brand_id AS brand_id, i_brand AS brand, SUM(ss_ext_sales_price) AS ext_price, i_manufact, i_manufact_id FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE i_manager_id = 73 AND d_moy = 11 AND d_year = 1999 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 ASC, brand, brand_id, i_manufact_id, i_manufact LIMIT 100; | tpcds |
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 (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_marital_status = 'W' AND cd_gender = 'F' AND cd_education_status = 'Secondary' AND d_year = 2000 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 n.id = ci.person_id AND t.production_year > 2010 AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND n.name like '%Downey%Robert%' AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND t.id = mk.movie_id | job |
select c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt from ( select ss_ticket_number, ss_customer_sk, count(*) as cnt from store_sales join date_dim on ss_sold_date_sk = d_date_sk join store on ss_store_sk = s_store_sk join household_demographics on ss_hdemo_sk = hd_demo_sk where (hd_buy_potential = '1001-5000' or hd_buy_potential = '5001-10000') AND s_county in ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') AND hd_vehicle_count > 0 AND d_year = ANY(ARRAY[2001, 2001, 2001]) 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 COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_size, p_brand, p_type FROM partsupp, part WHERE p_partkey = ps_partkey AND p_brand <> 1 AND 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%' ) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size LIMIT 50; | tpch |
SELECT COUNT(*) AS custdist, c_count FROM ( SELECT c_custkey, COUNT(o_orderkey) AS c_count FROM customer LEFT INNER JOIN orders ON c_custkey = o_custkey AND o_comment NOT LIKE 1 GROUP BY c_custkey ) AS c_orders GROUP BY c_count ORDER BY custdist ASC, c_count ASC | tpch |
SELECT p_brand, p_type, p_size, 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 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%' ) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 77 AND 143) OR (cd_marital_status = 'M' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 99 AND 100) OR (cd_marital_status = 'W' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 134 AND 179) ) AND ca_country = 'United States' AND ca_state IN ('TX', 'GA', 'NC') AND d_year = 2001 AND s_market_id = 9 AND ( (hd_dep_count = 2 AND hd_vehicle_count <= 3) OR (hd_dep_count = 4 AND hd_vehicle_count <= 3) OR (hd_dep_count = 5 AND hd_vehicle_count <= 5) ) | tpcds |
SELECT SUM(cs_quantity) AS catalog_sales_quantity, i_item_id, s_store_name, SUM(sr_return_quantity) AS store_returns_quantity, SUM(ss_quantity) AS store_sales_quantity, i_item_desc, s_store_id FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON 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 d1.d_year = 2001 AND d2.d_moy BETWEEN 3 AND 3 + 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 3 AND 3 + 3 AND d3.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(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 mi.movie_id = mi_idx.movie_id AND cn.id = mc.company_id AND mk.movie_id = mi.movie_id AND cn.country_code != '[us]' AND kt.id = t.kind_id AND mc.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = mk.movie_id AND mc.note NOT LIKE '%(USA)%' AND mi.movie_id = mc.movie_id AND k.id = mk.keyword_id AND it2.id = mi_idx.info_type_id AND it1.id = mi.info_type_id AND t.id = mi.movie_id AND it1.info = 'countries' AND mk.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND kt.kind IN ('movie', 'episode') AND t.production_year > 2008 AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mi_idx.info < '7.0' AND mc.note LIKE '%(200%)%' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it2.info = 'rating' AND ct.id = mc.company_type_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 ps_partkey = l_partkey AND s_nationkey = n_nationkey AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND ps_suppkey = l_suppkey AND o_orderkey = l_orderkey AND p_name LIKE 1 ) AS profit GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE mc.movie_id = mi.movie_id AND it.info = 'bottom 10 rank' AND t.id = mi.movie_id AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND it.id = mi.info_type_id AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
SELECT list_price, c_last_name, c_first_name, bought_city, extended_price, extended_tax, ca_city, ss_ticket_number FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 4 OR hd_vehicle_count = 4) AND d_dow IN (6, 0) AND d_year IN (2001, 2000, 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 COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b WHERE p.Id = pl.RelatedPostId AND p.Id = ph.PostId AND p.Id = v.PostId AND p.Id = c.PostId AND b.UserId = c.UserId AND pl.LinkTypeId = 1 AND c.Score = 0 | stats |
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 n1.name NOT LIKE '%Yu%' AND an1.person_id = n1.id AND n1.name LIKE '%Yo%' AND ci.movie_id = t.id AND ci.movie_id = mc.movie_id AND ci.note = '(voice: English version)' AND ci.role_id = rt.id AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(Japan)%' AND t.id = mc.movie_id AND cn.country_code = '[jp]' AND an1.person_id = ci.person_id AND n1.id = ci.person_id AND mc.company_id = cn.id | job |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE ml.movie_id = mc.movie_id AND cn.country_code = '[us]' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND k.id = mk.keyword_id AND it.info = 'release dates' AND mi.movie_id = t.id AND t.id = mc.movie_id AND mk.movie_id = mc.movie_id AND t.production_year > 1950 AND ml.movie_id = mk.movie_id AND mi.note LIKE '%internet%' AND cn.id = mc.company_id AND t.id = ml.movie_id AND mi.info LIKE 'USA:% 199%' AND ml.movie_id = mi.movie_id AND mc.note LIKE '%(USA)%' AND t.id = mk.movie_id AND lt.link LIKE '%follow%' AND lt.id = ml.link_type_id AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi.info_type_id | job |
SELECT MAX(cs_net_profit) AS catalog_sales_profit, s_store_id, MAX(ss_net_profit) AS store_sales_profit, i_item_id, MAX(sr_net_loss) AS store_returns_loss, i_item_desc, s_store_name FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 2 AND 8 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2002 AND d3.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 avg(ss_quantity) as agg1, avg(ss_coupon_amt) as agg3, avg(ss_list_price) as agg2, avg(ss_sales_price) as agg4, i_item_id from store_sales join customer_demographics on ss_cdemo_sk = cd_demo_sk join date_dim on ss_sold_date_sk = d_date_sk join item on ss_item_sk = i_item_sk join promotion on ss_promo_sk = p_promo_sk where cd_gender = 'F' AND (p_channel_email = 'N' or p_channel_event = 'N') AND cd_marital_status = 'W' AND cd_education_status = 'Advanced Degree' AND d_year = 2000 group by i_item_id order by i_item_id limit 100; | tpcds |
SELECT MIN(t.title) AS voiced_movie, MIN(n.name) AS voicing_actress FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE t.production_year > 2000 AND n.id = ci.person_id AND mc.note LIKE '%(USA)%' AND n.gender = 'f' AND it.id = mi.info_type_id AND ci.movie_id = mc.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND rt.role = 'actress' AND t.id = ci.movie_id AND ci.person_id = an.person_id AND it.info = 'release dates' AND t.id = mi.movie_id AND cn.country_code = '[us]' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = mc.movie_id AND ci.role_id = rt.id AND chn.id = ci.person_role_id AND mi.movie_id = mc.movie_id AND an.person_id = n.id | job |
Select Max(t.title) As american_movie From company_type As ct, info_type As it, movie_companies As mc, movie_info As mi, title As t Where it.id = mi.info_type_id And it.info = 'bottom 10 rank' And t.id = mi.movie_id And t.id = mc.movie_id And mc.movie_id = mi.movie_id And (mc.note Like '%(co-production)%' Or mc.note Like '%(presents)%') And mc.note Not Like '%(As Metro-Goldwyn-Mayer Pictures)%' And ct.kind = 'production companies' And ct.id = mc.company_type_id | job |
SELECT MIN(t.production_year) AS movie_year, MIN(t.title) AS movie_title, MIN(mc.note) AS production_note FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND it.id = mi_idx.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id AND it.info = 'top 250 rank' AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id | job |
Select i_item_id, Avg(cs_sales_price) As agg4, 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 d_year = 2000 And cd_marital_status = 'S' And (p_channel_email = 'N' Or p_channel_event = 'N') And cd_gender = 'M' And cd_education_status = '4 yr Degree' Group By i_item_id Order By i_item_id Limit 100; | tpcds |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_suppkey = l1.l_suppkey AND s_nationkey = n_nationkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND o_orderkey = l1.l_orderkey AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND o_orderstatus = 'F' AND l1.l_receiptdate > l1.l_commitdate AND n_name = 1 GROUP BY s_name ORDER BY numwait DESC, s_name; | tpch |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE t.id = mc.movie_id AND t.id = mk.movie_id AND an.person_id = n.id AND ci.movie_id = mk.movie_id AND t.episode_nr >= 50 AND cn.country_code = '[us]' AND mc.movie_id = mk.movie_id AND t.episode_nr < 100 AND ci.movie_id = mc.movie_id AND mk.keyword_id = k.id AND an.person_id = ci.person_id AND n.id = ci.person_id AND k.keyword = 'character-name-in-title' AND mc.company_id = cn.id AND ci.movie_id = t.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.keyword Like '%sequel%' And mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') And t.production_year > 2000 And t.id = mi.movie_id And t.id = mk.movie_id And mk.movie_id = mi.movie_id And k.id = mk.keyword_id; | job |
select count(*) from postHistory as ph, posts as p, users as u, badges as b where p.Score >= -7 and ph.PostHistoryTypeId = 3 and ph.UserId = u.Id and p.OwnerUserId = u.Id and u.Reputation >= 1 and u.Id = b.UserId | stats |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, badges as b where p.Id = v.PostId and p.Id = ph.PostId and b.UserId = c.UserId and p.Id = pl.RelatedPostId and pl.LinkTypeId = 1 and c.Score = 0 and p.Id = c.PostId | stats |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, users AS u, badges AS b WHERE ph.UserId = u.Id AND u.Id = b.UserId AND p.OwnerUserId = u.Id AND u.Reputation >= 1 AND p.Score >= -7 AND ph.PostHistoryTypeId = 3 LIMIT 100; | stats |
SELECT SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, o_shippriority, l_orderkey FROM customer, orders, lineitem WHERE l_shipdate > DATE 1 AND l_orderkey = o_orderkey AND c_custkey = o_custkey AND o_orderdate < DATE 1 AND c_mktsegment = 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | 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 k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 AND 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 | 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 miidx.movie_id = t.id AND kt.kind = 'movie' AND ct.id = mc.company_type_id AND it.info = 'rating' AND it.id = miidx.info_type_id AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND it2.info = 'release dates' AND ct.kind = 'production companies' AND mi.movie_id = t.id AND mc.movie_id = t.id AND cn.country_code = '[de]' AND it2.id = mi.info_type_id AND mi.movie_id = miidx.movie_id AND kt.id = t.kind_id AND miidx.movie_id = mc.movie_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, users AS u WHERE p.CommentCount >= 0 AND c.UserId = u.Id AND p.ViewCount >= 0 AND u.Id = p.OwnerUserId AND c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND p.FavoriteCount >= 0 | stats |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_suppkey = l_suppkey AND c_custkey = o_custkey AND o_orderkey = l_orderkey 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 s_nationkey = n1.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE t.id = ci.movie_id AND ci.person_id = an.person_id AND rt.role = 'actress' AND mc.note LIKE '%(USA)%' AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND mi.movie_id = ci.movie_id AND n.gender = 'f' AND n.id = ci.person_id AND it.info = 'release dates' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = mc.movie_id AND chn.id = ci.person_role_id AND t.id = mi.movie_id AND t.production_year > 2000 AND it.id = mi.info_type_id AND ci.role_id = rt.id AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' | job |
select i_item_id, i_item_desc, i_current_price from item INNER JOIN inventory on i_item_sk = inv_item_sk INNER JOIN date_dim on d_date_sk = inv_date_sk INNER JOIN catalog_sales on cs_item_sk = i_item_sk where i_current_price BETWEEN 77 AND 77 + 30 AND d_date BETWEEN CAST('2001-07-13' as DATE) AND (CAST('2001-07-13' as DATE) + INTERVAL '60 days') AND i_manufact_id = ANY(ARRAY[211, 362, 413, 88]) AND inv_quantity_on_hand BETWEEN 100 AND 500 group by i_item_id, i_item_desc, i_current_price order by i_item_id limit 100; | tpcds |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b WHERE p.Id = ph.PostId AND p.Id = pl.RelatedPostId AND p.Id = v.PostId AND b.UserId = c.UserId AND c.Score = 0 AND p.Id = c.PostId AND pl.LinkTypeId = 1; | stats |
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 ( (n1.n_name = 1 and n2.n_name = 1) or (n1.n_name = 1 and n2.n_name = 1) ) and c_nationkey = n2.n_nationkey and s_suppkey = l_suppkey and o_orderkey = l_orderkey and s_nationkey = n1.n_nationkey and c_custkey = o_custkey 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 MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German']) AND k.keyword LIKE '%sequel%' AND t.production_year > 2010 AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND k.id = mk.keyword_id | job |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(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 s_county IN ('Franklin County', 'Jefferson County', 'Oglethorpe County', 'Maricopa County') AND d_year IN (2001, 2000, 2003) AND d_dom BETWEEN 1 AND 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE ct.id = mc.company_type_id AND mc.note LIKE '%(USA)%' AND mi.info LIKE 'USA:% 199%' AND ml.movie_id = mk.movie_id AND t.id = mc.movie_id AND k.id = mk.keyword_id AND t.id = ml.movie_id AND ml.movie_id = mi.movie_id AND mi.movie_id = t.id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'release dates' AND mi.note LIKE '%internet%' AND lt.id = ml.link_type_id AND mk.movie_id = mc.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND lt.link LIKE '%follow%' AND t.production_year > 1950 AND it.id = mi.info_type_id AND t.id = mk.movie_id AND cn.id = mc.company_id AND cn.country_code = '[us]' AND ml.movie_id = mc.movie_id | job |
SELECT s_phone, p_partkey, s_acctbal, s_address, s_comment, s_name, p_mfgr, n_name 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_partkey = ps_partkey AND n_regionkey = r_regionkey AND p_type LIKE 1 AND p_size = 1 AND r_name = 1 AND s_nationkey = n_nationkey AND s_suppkey = ps_suppkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
Select s_suppkey, s_address, total_revenue, s_name, s_phone From supplier, revenue0 Where s_suppkey = supplier_no And total_revenue = ( Select Max(total_revenue) From revenue0 ) Order By s_suppkey | tpch |
Select Sum(ss_ext_sales_price) As ext_price, i_manufact_id, i_brand As brand, i_manufact, i_brand_id As brand_id From date_dim Join store_sales On d_date_sk = ss_sold_date_sk Join item On ss_item_sk = i_item_sk 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 substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) And d_moy = 11 And d_year = 2002 And i_manager_id = 77 Group By i_brand, i_brand_id, i_manufact_id, i_manufact Order By ext_price Desc, brand, brand_id, i_manufact_id, i_manufact Limit 100; | tpcds |
SELECT MIN(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 cn.country_code = '[jp]' AND mc.note NOT LIKE '%(USA)%' AND ci.movie_id = t.id AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND ci.note = '(voice: English version)' AND mc.note LIKE '%(Japan)%' AND ci.role_id = rt.id AND n1.name LIKE '%Yo%' AND mc.company_id = cn.id AND an1.person_id = n1.id AND t.id = mc.movie_id AND an1.person_id = ci.person_id AND n1.name NOT LIKE '%Yu%' AND n1.id = ci.person_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 it.id = mi.info_type_id AND ci.role_id = rt.id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.production_year > 2000 AND mc.note LIKE '%(USA)%' AND an.person_id = n.id AND cn.country_code = '[us]' AND n.gender = 'f' AND t.id = mi.movie_id AND mi.movie_id = mc.movie_id AND ci.person_id = an.person_id AND mi.movie_id = ci.movie_id AND chn.id = ci.person_role_id AND it.info = 'release dates' AND n.id = ci.person_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND cn.id = mc.company_id | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE at.title LIKE '%Champion%' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mc.movie_id AND kt.id = t.kind_id AND kt.kind = 'movie' AND mi_idx.info < '3.5' AND t.id = at.movie_id AND it1.id = mi_idx.info_type_id AND t.production_year > 2000 AND at.movie_id = mi_idx.movie_id AND it1.info = 'rating' AND mi.movie_id = mi_idx.movie_id AND it2.info = 'release dates' AND cn.id = mc.company_id AND at.movie_id = mi.movie_id AND mi.info LIKE 'USA:%200%' AND cn.country_code = '[us]' AND t.id = mc.movie_id AND it2.id = mi.info_type_id AND at.movie_id = mc.movie_id | job |
SELECT AVG(ss_quantity) AS store_sales_quantityave, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, i_item_desc, s_state, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, COUNT(cs_quantity) AS catalog_sales_quantitycount, i_item_id, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(sr_return_quantity) AS store_returns_quantitycount FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '2000Q1' AND d2.d_quarter_name = ANY(ARRAY['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 s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE n_name = 1 AND o_orderstatus = 'F' AND l1.l_receiptdate > l1.l_commitdate AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND o_orderkey = l1.l_orderkey AND s_suppkey = l1.l_suppkey AND s_nationkey = n_nationkey AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where t.id = mi.movie_id And k.keyword Like '%sequel%' And mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') And k.id = mk.keyword_id And t.id = mk.movie_id And t.production_year > 2000 And mk.movie_id = mi.movie_id | job |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE b.UserId = u.Id AND pl.LinkTypeId = 1 AND p.Id = v.PostId AND p.Id = pl.RelatedPostId AND p.Id = ph.PostId AND c.UserId = u.Id AND p.Score <= 40 AND p.Id = c.PostId | stats |
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 it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id | job |
select promotions, total, CAST(promotions as DECIMAL(15, 4)) / CAST(total as DECIMAL(15, 4)) * 100 from ( select sum(ss_ext_sales_price) as promotions from store_sales join store on ss_store_sk = s_store_sk join promotion on ss_promo_sk = p_promo_sk join date_dim on ss_sold_date_sk = d_date_sk join customer on ss_customer_sk = c_customer_sk join customer_address on c_current_addr_sk = ca_address_sk join item on ss_item_sk = i_item_sk where d_moy = 12 ) as promotional_sales, ( select sum(ss_ext_sales_price) as total from store_sales join store on ss_store_sk = s_store_sk join date_dim on ss_sold_date_sk = d_date_sk join customer on ss_customer_sk = c_customer_sk join customer_address on c_current_addr_sk = ca_address_sk join item on ss_item_sk = i_item_sk where ca_gmt_offset = -6 AND d_year = 2002 AND s_gmt_offset = -6 AND d_year = 2002 AND i_category = 'Jewelry' AND (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y') AND d_moy = 12 ) as all_sales AND ca_gmt_offset = -6 AND i_category = 'Jewelry' AND s_gmt_offset = -6 order by promotions, total limit 100; | tpcds |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND cn.country_code ='[nl]' AND mc.movie_id = t.id AND cn.id = mc.company_id AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND k.keyword ='character-name-IN-title' | 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 it.info = 'mini biography' AND lt.id = ml.link_type_id AND pi.person_id = ci.person_id AND ml.linked_movie_id = t.id AND ci.person_id = n.id AND pi.note = 'Volker Boehm' AND it.id = pi.info_type_id AND ci.movie_id = ml.linked_movie_id AND n.id = an.person_id AND n.id = pi.person_id AND t.production_year BETWEEN 1980 AND 1995 AND t.id = ci.movie_id AND an.name LIKE '%a%' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.person_id = an.person_id AND an.person_id = ci.person_id AND lt.link = 'features' | job |
select count(*) from comments as c, posts as p, votes as v, users as u where p.Score >= 0 AND u.Id = c.UserId AND p.ViewCount >= 0 AND u.Id = v.UserId AND c.Score = 0 AND u.Id = p.OwnerUserId | stats |
Select Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v Where p.Id = pl.PostId AND p.Id = v.PostId AND p.FavoriteCount >= 0 AND pl.LinkTypeId = 1 AND p.Id = ph.PostId AND c.Score = 0 AND p.Id = c.PostId | stats |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE o_orderdate >= DATE 1 AND s_nationkey = n_nationkey AND r_name = 1 AND c_nationkey = s_nationkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND n_regionkey = r_regionkey AND l_suppkey = s_suppkey GROUP BY n_name ORDER BY revenue DESC | tpch |
Select nation, o_year, Sum(amount) As sum_profit From ( Select n_name As nation, EXTRACT(YEAR From o_orderdate) As o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity As amount From part, supplier, lineitem, partsupp, orders, nation Where s_suppkey = l_suppkey And ps_suppkey = l_suppkey And ps_partkey = l_partkey And p_partkey = l_partkey And o_orderkey = l_orderkey And s_nationkey = n_nationkey And p_name Like 1 ) As profit Group By nation, o_year Order By nation, o_year Desc LIMIT 200; | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, votes AS v, users AS u WHERE c.Score = 0 AND p.Score >= 0 AND u.Id = c.UserId AND u.Id = v.UserId AND u.Id = p.OwnerUserId AND p.ViewCount >= 0 LIMIT 200; | stats |
WITH year_total AS ( SELECT c_customer_id AS customer_id, c_preferred_cust_flag AS customer_preferred_cust_flag, d_year AS dyear, c_login AS customer_login, c_first_name AS customer_first_name, 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_email_address AS customer_email_address, c_birth_country AS customer_birth_country, 's' AS sale_type 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 s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND p_type LIKE 1 AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND r_name = 1 AND p_size = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND n_regionkey = r_regionkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | 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 ci.movie_id = t.id And cn.country_code = '[jp]' And mc.note Not Like '%(USA)%' And ci.note = '(voice: English version)' And n1.id = ci.person_id And t.id = mc.movie_id And rt.role = 'actress' And mc.company_id = cn.id And ci.movie_id = mc.movie_id And mc.note Like '%(Japan)%' And an1.person_id = n1.id And n1.name Like '%Yo%' And ci.role_id = rt.id And an1.person_id = ci.person_id And n1.name Not Like '%Yu%' | job |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE it2.id = mi.info_type_id AND miidx.movie_id = mc.movie_id AND it2.info = 'release dates' AND cn.id = mc.company_id AND miidx.movie_id = t.id AND it.info = 'rating' AND it.id = miidx.info_type_id AND mi.movie_id = t.id AND kt.kind = 'movie' AND cn.country_code = '[de]' AND mi.movie_id = mc.movie_id AND ct.kind = 'production companies' AND kt.id = t.kind_id AND mi.movie_id = miidx.movie_id AND mc.movie_id = t.id AND ct.id = mc.company_type_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 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 c_nationkey = n2.n_nationkey AND s_nationkey = n1.n_nationkey AND o_orderkey = l_orderkey AND c_custkey = o_custkey 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 n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE r_name = 1 AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND l_suppkey = s_suppkey AND c_nationkey = s_nationkey AND o_orderdate >= DATE 1 AND l_orderkey = o_orderkey AND s_nationkey = n_nationkey AND c_custkey = o_custkey AND n_regionkey = r_regionkey GROUP BY n_name ORDER BY revenue ASC | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, votes AS v WHERE p.Id = c.PostId AND v.VoteTypeId = 2 AND c.CreationDate >= '2010-08-02 23:52:10'::timestamp AND c.PostId = pl.PostId AND p.Score >= -3 AND pl.PostId = v.PostId LIMIT 500; | stats |
SELECT MAX(k.keyword) AS movie_keyword, MAX(n.name) AS actor_name, MAX(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 n.name LIKE '%Downey%Robert%' AND n.id = ci.person_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id | job |
WITH year_total AS ( SELECT c_last_name AS customer_last_name, d_year AS dyear, c_preferred_cust_flag AS customer_preferred_cust_flag, c_first_name AS customer_first_name, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_email_address AS customer_email_address, 's' AS sale_type, c_birth_country AS customer_birth_country, c_customer_id AS customer_id, c_login AS customer_login FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
SELECT MIN(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 = ci.movie_id AND mi.movie_id = ci.movie_id AND t.id = mi.movie_id AND it.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND n.id = ci.person_id AND cn.country_code = '[us]' AND it.info = 'release dates' AND an.person_id = n.id AND n.gender = 'f' AND chn.id = ci.person_role_id AND rt.role = 'actress' AND mc.note LIKE '%(USA)%' AND t.id = mc.movie_id AND ci.role_id = rt.id AND cn.id = mc.company_id AND ci.person_id = an.person_id AND ci.movie_id = mc.movie_id AND t.production_year > 2000 AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') | job |
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 i_manager_id = 3 AND d_year = 1999 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND d_moy = 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 |
SELECT AVG(l_quantity) AS avg_qty, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice) AS sum_base_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, l_linestatus, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, COUNT(*) AS count_order, AVG(l_discount) AS avg_disc, SUM(l_quantity) AS sum_qty, l_returnflag FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT s_address, s_comment, s_name, p_mfgr, s_acctbal, s_phone, n_name, p_partkey FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_type, p_brand, p_size FROM partsupp, part WHERE p_brand <> 1 AND p_type NOT LIKE 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_partkey = ps_partkey 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 cnt, c_preferred_cust_flag, c_salutation, c_first_name, 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 (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) > 1.57 and d_year in (2000, 2002, 2001) and s_county in ('Franklin County', 'Daviess 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(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 ct.id = mc.company_type_id AND k.keyword In ('murder', 'murder-In-title', 'blood', 'violence') AND t.id = mc.movie_id AND t.production_year > 2008 AND t.id = mi.movie_id AND mi.info In ('Germany', 'German', 'USA', 'American') AND k.id = mk.keyword_id AND kt.id = t.kind_id AND cn.country_code != '[us]' AND it2.id = mi_idx.info_type_id AND kt.kind In ('movie', 'episode') AND mc.note Not Like '%(USA)%' AND t.id = mi_idx.movie_id AND it1.info = 'countries' AND mk.movie_id = mc.movie_id AND it2.info = 'rating' AND mi.movie_id = mc.movie_id AND mc.note Like '%(200%)%' AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND it1.id = mi.info_type_id AND mi.movie_id = mi_idx.movie_id AND cn.id = mc.company_id AND mc.movie_id = mi_idx.movie_id AND mi_idx.info < '7.0' | job |
With _q As ( Select Sum(l_extendedprice * l_discount) As revenue From lineitem Where l_discount BETWEEN 1 - 0.01 AND 1 + 0.01 AND l_shipdate >= DATE 1 AND l_quantity < 1 ) Select * From _q AND l_shipdate < DATE 1 + INTERVAL '1' YEAR | 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 n.id = ci.person_id and t.production_year > 2010 and k.id = mk.keyword_id and t.id = ci.movie_id and n.name like '%Downey%Robert%' and k.keyword = 'marvel-cinematic-universe' LIMIT 100; | job |
WITH _q AS ( 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 kt.id = t.kind_id AND mc.movie_id = t.id AND it2.id = mi.info_type_id AND mi.movie_id = miidx.movie_id AND it.id = miidx.info_type_id AND cn.country_code = '[de]' AND kt.kind = 'movie' AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND it.info = 'rating' AND miidx.movie_id = t.id AND mi.movie_id = t.id AND miidx.movie_id = mc.movie_id ) SELECT * FROM _q AND it2.info = 'release dates' | job |
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