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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 ci.movie_id = mc.movie_id AND k.keyword = 'anime' AND ci.note LIKE '%(voice: English version)%' AND t.production_year > 1990 AND an.person_id = n.id AND rt.role = 'actress' AND ci.person_id = an.person_id AND mk.movie_id = mc.movie_id AND ci.role_id = rt.id AND k.id = mk.keyword_id AND cn.id = mc.company_id AND n.id = ci.person_id AND cn.country_code = '[jp]' AND mk.movie_id = ci.movie_id AND t.id = mk.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.id = ci.movie_id AND ct.id = mc.company_type_id AND mc.note LIKE '%(Japan)%' AND n.gender = 'f' | job |
SELECT p_brand, p_size, p_type, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_brand <> 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_type NOT LIKE 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 ASC, p_brand, p_type, p_size | tpch |
SELECT s_name, s_address FROM supplier, nation WHERE n_name = 1 AND s_nationkey = n_nationkey AND s_suppkey IN ( SELECT ps_suppkey FROM partsupp WHERE ps_partkey IN ( SELECT p_partkey FROM part WHERE p_name LIKE 1 ) AND ps_availqty > ( SELECT 0.5 * SUM(l_quantity) FROM lineitem WHERE l_partkey = ps_partkey AND l_suppkey = ps_suppkey AND l_shipdate >= DATE 1 AND l_shipdate < DATE 1 + INTERVAL '1' YEAR ) ) ORDER BY s_name LIMIT 1000; | tpch |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE n.name_pcode_cf BETWEEN 'A' AND 'F' AND an.name LIKE '%a%' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND n.id = an.person_id AND an.person_id = ci.person_id AND it.info = 'mini biography' AND lt.link = 'features' AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND t.production_year BETWEEN 1980 AND 1995 AND n.id = pi.person_id AND t.id = ci.movie_id AND pi.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id AND pi.note = 'Volker Boehm' AND ml.linked_movie_id = t.id AND pi.person_id = an.person_id AND ci.person_id = n.id | job |
select min(mc.note) as production_note, min(t.production_year) as movie_year, min(t.title) as movie_title from company_type as ct, info_type as it, movie_companies as mc, movie_info_idx as mi_idx, title as t where ct.kind = 'production companies' and it.info = 'top 250 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_idx.movie_id and mc.movie_id = mi_idx.movie_id and it.id = mi_idx.info_type_id limit 10; | job |
SELECT MIN(t.title) AS northamerican_movie, MIN(mi_idx.info) AS rating FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE mi_idx.info < '3.5' AND mi_idx.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND it2.info = 'release dates' AND t.production_year > 2000 AND at.title LIKE '%Champion%' AND mi.movie_id = mi_idx.movie_id AND it2.id = mi.info_type_id AND at.movie_id = mc.movie_id AND it1.info = 'rating' AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND it1.id = mi_idx.info_type_id AND at.movie_id = mi.movie_id AND t.id = at.movie_id AND mi.info LIKE 'USA:%200%' AND t.id = mi.movie_id AND kt.id = t.kind_id AND cn.country_code = '[us]' AND at.movie_id = mi_idx.movie_id AND cn.id = mc.company_id AND kt.kind = 'movie' | job |
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 t.production_year > 2010 AND t.id = mk.movie_id AND n.name LIKE '%Downey%Robert%' AND k.keyword = 'marvel-cinematic-universe' AND n.id = ci.person_id AND k.id = mk.keyword_id | job |
SELECT MIN(t.title) AS biography_movie, MIN(n.name) AS of_person FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE ci.person_id = n.id AND pi.person_id = ci.person_id AND an.name LIKE '%a%' AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.person_id = an.person_id AND n.id = pi.person_id AND t.id = ci.movie_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND t.production_year BETWEEN 1980 AND 1995 AND n.id = an.person_id AND ci.movie_id = ml.linked_movie_id AND ml.linked_movie_id = t.id AND it.info = 'mini biography' AND lt.link = 'features' AND pi.note = 'Volker Boehm' AND an.person_id = ci.person_id | job |
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 ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 AND t.id = ci.movie_id AND k.id = mk.keyword_id AND n.id = ci.person_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 mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND t.production_year > 2010 AND k.keyword like '%sequel%' AND mi.info in ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mk.movie_id AND k.id = mk.keyword_id | job |
SELECT STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, i_item_desc, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(cs_quantity) AS catalog_sales_quantityave, i_item_id, s_state, COUNT(sr_return_quantity) AS store_returns_quantitycount, COUNT(ss_quantity) AS store_sales_quantitycount FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '2000Q1' AND d2.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') AND d3.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT SUM(volume) AS revenue, l_year, cust_nation, 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 l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_suppkey = l_suppkey AND o_orderkey = l_orderkey AND s_nationkey = n1.n_nationkey AND c_nationkey = n2.n_nationkey AND c_custkey = o_custkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_size, 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_partkey = ps_partkey AND p_type NOT LIKE 1 AND p_brand <> 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt ASC, p_brand, p_type, p_size | 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 an.person_id = n.id And ci.movie_id = t.id And n.id = ci.person_id And t.episode_nr < 100 And t.id = mc.movie_id And mc.company_id = cn.id And cn.country_code = '[us]' And mk.keyword_id = k.id And t.episode_nr >= 50 And ci.movie_id = mc.movie_id And ci.movie_id = mk.movie_id And mc.movie_id = mk.movie_id And t.id = mk.movie_id And k.keyword = 'character-name-In-title' And an.person_id = ci.person_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 mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') And t.production_year > 2000 And t.id = mk.movie_id And k.id = mk.keyword_id And k.keyword Like '%sequel%' And mk.movie_id = mi.movie_id And t.id = mi.movie_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE p.Id = c.PostId AND c.UserId = u.Id AND p.Id = pl.RelatedPostId AND p.Id = v.PostId AND b.UserId = u.Id AND pl.LinkTypeId = 1 AND p.Id = ph.PostId AND p.Score <= 40 | stats |
WITH year_total AS ( SELECT d_year AS dyear, c_birth_country AS customer_birth_country, c_email_address AS customer_email_address, c_preferred_cust_flag AS customer_preferred_cust_flag, c_login AS customer_login, c_last_name AS customer_last_name, c_customer_id AS customer_id, 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, '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 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(sr_return_quantity) AS store_returns_quantityave, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(ss_quantity) AS store_sales_quantityave, i_item_desc, s_state, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, i_item_id, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(cs_quantity) AS catalog_sales_quantityave, 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 = '1999Q1' AND d2.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') AND d3.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
select nation, o_year, sum(amount) as sum_profit from ( select n_name as nation, EXTRACT(YEAR from o_orderdate) as o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity as amount from part, supplier, lineitem, partsupp, orders, nation where p_name like 1 ) as profit and o_orderkey = l_orderkey and p_partkey = l_partkey and ps_partkey = l_partkey and ps_suppkey = l_suppkey and s_suppkey = l_suppkey and s_nationkey = n_nationkey group by nation, o_year order by nation, o_year desc | tpch |
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 t.id = ci.movie_id AND ci.movie_id = ml.linked_movie_id AND an.person_id = ci.person_id AND it.id = pi.info_type_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.note = 'Volker Boehm' AND it.info = 'mini biography' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND t.production_year BETWEEN 1980 AND 1995 AND pi.person_id = an.person_id AND ci.person_id = n.id AND lt.link = 'features' AND an.name LIKE '%a%' AND n.id = an.person_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND n.id = pi.person_id AND pi.person_id = ci.person_id | job |
select o_year, sum( case when nation = 1 then volume else 0 end ) / sum(volume) as mkt_share from ( select EXTRACT(YEAR from o_orderdate) as o_year, l_extendedprice * (1 - l_discount) as volume, n2.n_name as nation from part, supplier, lineitem, orders, customer, nation n1, nation n2, region where p_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 | tpch |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE n.id = ci.person_id AND t.id = mc.movie_id AND ci.note LIKE '%(voice: English version)%' AND ci.movie_id = mc.movie_id AND ci.role_id = rt.id AND an.person_id = n.id AND mk.movie_id = mc.movie_id AND k.keyword = 'anime' AND ct.id = mc.company_type_id AND rt.role = 'actress' AND cn.id = mc.company_id AND n.gender = 'f' AND cn.country_code = '[jp]' AND ci.person_id = an.person_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND mc.note LIKE '%(Japan)%' AND k.id = mk.keyword_id AND t.production_year > 1990 AND mk.movie_id = ci.movie_id AND mc.note NOT LIKE '%(USA)%' LIMIT 20; | 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 s_gmt_offset = -6 AND d_year = 2002 AND d_moy = 5 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -6 AND i_category = 'Home' AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -6 AND d_year = 2002 AND ca_gmt_offset = -6 AND d_moy = 5 ) AS all_sales AND i_category = 'Home' ORDER BY promotions, total 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 cn.id = mc.company_id AND cn.country_code = '[us]' AND mi_idx.movie_id = mc.movie_id AND t.id = mc.movie_id AND t.production_year > 2000 AND t.id = mi_idx.movie_id AND it1.id = mi_idx.info_type_id AND at.title LIKE '%Champion%' AND it1.info = 'rating' AND t.id = at.movie_id AND mi.movie_id = mc.movie_id AND at.movie_id = mc.movie_id AND t.id = mi.movie_id AND it2.id = mi.info_type_id AND it2.info = 'release dates' AND at.movie_id = mi_idx.movie_id AND kt.kind = 'movie' AND mi_idx.info < '3.5' AND at.movie_id = mi.movie_id AND mi.info LIKE 'USA:%200%' AND mi.movie_id = mi_idx.movie_id | job |
WITH year_total AS ( SELECT c_first_name AS customer_first_name, 's' AS sale_type, c_email_address AS customer_email_address, c_customer_id AS customer_id, d_year AS dyear, c_login AS customer_login, c_birth_country AS customer_birth_country, 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_preferred_cust_flag AS customer_preferred_cust_flag 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(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.movie_id AND kt.kind IN ('movie', 'episode') AND it2.id = mi_idx.info_type_id AND t.production_year > 2008 AND t.id = mi_idx.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND t.id = mc.movie_id AND it2.info = 'rating' AND mk.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND mi.movie_id = mc.movie_id AND t.id = mk.movie_id AND mc.note LIKE '%(200%)%' AND cn.id = mc.company_id AND cn.country_code != '[us]' AND mc.note NOT LIKE '%(USA)%' AND mi_idx.info < '7.0' AND kt.id = t.kind_id AND mk.movie_id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND it1.info = 'countries' AND it1.id = mi.info_type_id AND ct.id = mc.company_type_id AND mi.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id | job |
select l_shipmode, sum( case when o_orderpriority = '1-URGENT' or o_orderpriority = '2-HIGH' then 1 else 0 end ) as high_line_count, sum( case when o_orderpriority <> '1-URGENT' and o_orderpriority <> '2-HIGH' then 1 else 0 end ) as low_line_count from orders, lineitem where l_receiptdate >= DATE 1 AND l_shipdate < l_commitdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND o_orderkey = l_orderkey AND l_shipmode = ANY(ARRAY[1, 1]) AND l_commitdate < l_receiptdate group by l_shipmode order by l_shipmode | tpch |
with _q as ( select min(t.title) as movie_title from company_name as cn, keyword as k, movie_companies as mc, movie_keyword as mk, title as t where mc.movie_id = mk.movie_id ) select * from _q and mc.movie_id = t.id and cn.id = mc.company_id and mk.keyword_id = k.id AND t.id = mk.movie_id AND cn.country_code ='[de]' AND k.keyword ='character-name-in-title' | job |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE n.id = ci.person_id AND cn.country_code = '[jp]' AND t.production_year > 1990 AND k.keyword = 'anime' AND rt.role = 'actress' AND ci.note LIKE '%(voice: English version)%' AND mc.note NOT LIKE '%(USA)%' AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND ci.person_id = an.person_id AND ci.movie_id = mc.movie_id AND ci.role_id = rt.id AND k.id = mk.keyword_id AND mk.movie_id = ci.movie_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND mk.movie_id = mc.movie_id AND an.person_id = n.id AND n.gender = 'f' AND cn.id = mc.company_id AND mc.note LIKE '%(Japan)%' | 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 cn.id = mc.company_id AND t.id = ci.movie_id AND n.id = ci.person_id AND n.gender = 'f' AND mi.movie_id = ci.movie_id AND mc.note LIKE '%(USA)%' AND it.info = 'release dates' AND cn.country_code = '[us]' AND t.id = mi.movie_id AND t.id = mc.movie_id AND ci.role_id = rt.id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.person_id = an.person_id AND mi.movie_id = mc.movie_id AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND it.id = mi.info_type_id AND t.production_year > 2000 | 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.movie_id = mc.movie_id AND mi_idx.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND it1.id = mi_idx.info_type_id AND kt.id = t.kind_id AND t.id = mi_idx.movie_id AND it1.info = 'rating' AND t.id = mc.movie_id AND at.title LIKE '%Champion%' AND mi_idx.info < '3.5' AND at.movie_id = mi_idx.movie_id AND at.movie_id = mi.movie_id AND cn.id = mc.company_id AND it2.info = 'release dates' AND t.production_year > 2000 AND t.id = mi.movie_id AND t.id = at.movie_id AND it2.id = mi.info_type_id AND mi.info LIKE 'USA:%200%' AND cn.country_code = '[us]' AND kt.kind = 'movie' LIMIT 200; | job |
SELECT c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_comment FROM customer, orders, lineitem, nation WHERE l_orderkey = o_orderkey AND l_returnflag = 'R' AND c_custkey = o_custkey AND c_nationkey = n_nationkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND o_orderdate >= DATE 1 GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue ASC LIMIT 20 | 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.id = mi_idx.info_type_id and ct.id = mc.company_type_id and (mc.note like '%(co-production)%' or mc.note like '%(presents)%') and mc.movie_id = mi_idx.movie_id and mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' and t.id = mi_idx.movie_id and ct.kind = 'production companies' and it.info = 'top 250 rank' | job |
WITH year_total AS ( SELECT c_last_name AS customer_last_name, c_email_address AS customer_email_address, c_customer_id AS customer_id, c_first_name AS customer_first_name, 's' AS sale_type, 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, d_year AS dyear, c_birth_country AS customer_birth_country FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
SELECT c_phone, c_acctbal, c_comment, c_name, n_name, c_address, c_custkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue 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; | 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 t.id = ci.movie_id AND cn.country_code = '[ru]' AND ci.movie_id = mc.movie_id AND cn.id = mc.company_id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND t.production_year > 2005 AND rt.role = 'actor' AND ci.note LIKE '%(uncredited)%' AND rt.id = ci.role_id AND chn.id = ci.person_role_id AND ci.note LIKE '%(voice)%' | job |
SELECT c_custkey, n_name, c_address, c_phone, c_name, c_acctbal, c_comment, SUM(l_extendedprice * (1 - l_discount)) AS revenue 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 ASC LIMIT 20 | tpch |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code ='[nl]' AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.id AND mk.keyword_id = k.id AND t.id = mk.movie_id AND k.keyword ='character-name-in-title' LIMIT 20; | job |
SELECT list_price, extended_tax, ca_city, ss_ticket_number, extended_price, c_first_name, bought_city, c_last_name FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE s_city IN ('Clinton', 'Oak Grove') AND d_year IN (2000, 2002, 2001) AND (hd_dep_count = 5 OR hd_vehicle_count = 0) AND d_dow IN (6, 0) GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_comment FROM customer, orders, lineitem, nation WHERE o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_orderkey = o_orderkey AND c_custkey = o_custkey AND o_orderdate >= DATE 1 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 sum(l_extendedprice * (1 - l_discount)) as revenue, o_orderdate, o_shippriority, l_orderkey from customer, orders, lineitem where c_custkey = o_custkey and l_orderkey = o_orderkey and o_orderdate < DATE 1 and c_mktsegment = 1 and l_shipdate > DATE 1 group by l_orderkey, o_orderdate, o_shippriority order by revenue desc, o_orderdate limit 10 | 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 s_nationkey = n_nationkey And p_name Like 1 ) As profit And ps_suppkey = l_suppkey And ps_partkey = l_partkey And o_orderkey = l_orderkey Group By nation, o_year Order By nation, o_year Desc | tpch |
select n_name, sum(l_extendedprice * (1 - l_discount)) as revenue from customer, orders, lineitem, supplier, nation, region where c_custkey = o_custkey and o_orderdate < DATE 1 + INTERVAL '1' YEAR and n_regionkey = r_regionkey and l_suppkey = s_suppkey and c_nationkey = s_nationkey and o_orderdate >= DATE 1 and r_name = 1 and s_nationkey = n_nationkey and l_orderkey = o_orderkey group by n_name order by revenue desc | tpch |
SELECT * FROM ( SELECT AVG(ss_list_price) AS b1_lp, COUNT(ss_list_price) AS b1_cnt, COUNT(DISTINCT ss_list_price) AS b1_cntd FROM store_sales WHERE (ss_list_price BETWEEN 28 AND 28 + 10 OR ss_coupon_amt BETWEEN 614 AND 614 + 1000 OR ss_wholesale_cost BETWEEN 87 AND 87 + 20) ) AS b1, ( SELECT AVG(ss_list_price) AS b2_lp, COUNT(ss_list_price) AS b2_cnt, COUNT(DISTINCT ss_list_price) AS b2_cntd FROM store_sales WHERE ss_quantity BETWEEN 6 AND 10 AND (ss_list_price BETWEEN 77 AND 77 + 10 OR ss_coupon_amt BETWEEN 1614 AND 1614 + 1000 OR ss_wholesale_cost BETWEEN 88 AND 88 + 20) ) AS b3 AND (ss_list_price BETWEEN 98 AND 98 + 10 OR ss_coupon_amt BETWEEN 2458 AND 2458 + 1000 OR ss_wholesale_cost BETWEEN 49 AND 49 + 20) ) AS b2, ( SELECT AVG(ss_list_price) AS b3_lp, COUNT(ss_list_price) AS b3_cnt, COUNT(DISTINCT ss_list_price) AS b3_cntd FROM store_sales WHERE ss_quantity BETWEEN 11 AND 15 AND ss_quantity BETWEEN 0 AND 5 | tpcds |
Select Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v, badges As b Where b.UserId = c.UserId And pl.LinkTypeId = 1 And p.Id = ph.PostId And c.Score = 0 And p.Id = c.PostId And p.Id = pl.RelatedPostId And p.Id = v.PostId LIMIT 200; | stats |
select sum(cr_net_loss) as returns_loss, cc_call_center_id as call_center, cc_manager as manager, 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 = 12 and ( (cd_marital_status = 'S' and cd_education_status = '4 yr Degree') or (hd_buy_potential like '1001-5000%' and ca_gmt_offset = -6) ) and ca_gmt_offset = -6 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(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_idx.info < '7.0' and cn.id = mc.company_id and mi.info in ('Germany', 'German', 'USA', 'American') and t.production_year > 2008 and it2.info = 'rating' and t.id = mi_idx.movie_id and t.id = mk.movie_id and mk.movie_id = mi_idx.movie_id and it1.id = mi.info_type_id and cn.country_code != '[us]' and mk.movie_id = mi.movie_id and ct.id = mc.company_type_id and it1.info = 'countries' and k.id = mk.keyword_id and t.id = mc.movie_id and mc.note like '%(200%)%' and kt.id = t.kind_id and t.id = mi.movie_id and mi.movie_id = mi_idx.movie_id and it2.id = mi_idx.info_type_id and mc.note not like '%(USA)%' and mi.movie_id = mc.movie_id and mc.movie_id = mi_idx.movie_id and k.keyword in ('murder', 'murder-in-title', 'blood', 'violence') and mk.movie_id = mc.movie_id | job |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND mc.company_id = cn.id AND ci.movie_id = t.id AND mc.note NOT LIKE '%(USA)%' AND n1.name NOT LIKE '%Yu%' AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND an1.person_id = n1.id AND n1.id = ci.person_id AND ci.role_id = rt.id AND n1.name LIKE '%Yo%' AND t.id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND an1.person_id = ci.person_id AND cn.country_code = '[jp]' | job |
select min(n.name) as of_person, min(t.title) as biography_movie from aka_name as an, cast_info as ci, info_type as it, link_type as lt, movie_link as ml, name as n, person_info as pi, title as t where t.production_year BETWEEN 1980 AND 1995 AND it.info = 'mini biography' AND ci.person_id = n.id AND (n.gender = 'm' or (n.gender = 'f' and n.name like 'B%')) AND an.name like '%a%' AND ml.linked_movie_id = t.id AND n.id = pi.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND it.id = pi.info_type_id AND ci.movie_id = ml.linked_movie_id AND t.id = ci.movie_id AND an.person_id = ci.person_id AND pi.person_id = an.person_id AND lt.link = 'features' AND lt.id = ml.link_type_id AND n.id = an.person_id AND pi.person_id = ci.person_id AND pi.note = 'Volker Boehm' | 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 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 s_suppkey = l_suppkey 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(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE t.id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND it2.info = 'release dates' AND t.production_year > 2000 AND t.id = mc.movie_id AND cn.country_code = '[us]' AND kt.kind = 'movie' AND it2.id = mi.info_type_id AND cn.id = mc.company_id AND t.id = mi.movie_id AND at.movie_id = mi.movie_id AND at.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND t.id = at.movie_id AND mi_idx.info < '3.5' AND it1.id = mi_idx.info_type_id AND at.movie_id = mi_idx.movie_id AND it1.info = 'rating' AND at.title LIKE '%Champion%' AND mi.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND mi_idx.movie_id = mc.movie_id | job |
SELECT s_store_id, i_item_desc, i_item_id, MAX(ss_net_profit) AS store_sales_profit, MAX(cs_net_profit) AS catalog_sales_profit, MAX(sr_net_loss) AS store_returns_loss, s_store_name FROM store_sales INNER JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number INNER JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk INNER JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk INNER JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk INNER JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk INNER JOIN store ON store_sales.ss_store_sk = store.s_store_sk INNER JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 2 AND 8 AND d1.d_year = 2001 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 2 AND 8 + 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 from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code = '[us]' AND ml.movie_id = mi.movie_id AND cn.id = mc.company_id 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 k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mk.movie_id = mc.movie_id AND ml.movie_id = mk.movie_id AND mi.note LIKE '%internet%' AND lt.link LIKE '%follow%' AND it.id = mi.info_type_id AND t.id = mc.movie_id AND t.id = ml.movie_id AND ml.movie_id = mc.movie_id AND it.info = 'release dates' AND k.id = mk.keyword_id AND t.production_year > 1950 AND mi.movie_id = t.id AND mc.note LIKE '%(USA)%' AND mi.info LIKE 'USA:% 199%' AND t.id = mk.movie_id | job |
Select Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v Where p.Id = ph.PostId And pl.LinkTypeId = 1 And p.Id = pl.PostId And p.Id = v.PostId And p.FavoriteCount >= 0 And c.Score = 0 And p.Id = c.PostId | stats |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note LIKE '%(uncredited)%' AND ct.id = mc.company_type_id AND rt.role = 'actor' AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND cn.country_code = '[ru]' AND cn.id = mc.company_id AND t.id = ci.movie_id AND ci.note LIKE '%(voice)%' AND rt.id = ci.role_id AND t.production_year > 2005 AND t.id = mc.movie_id LIMIT 10; | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE p.Score <= 40 AND c.UserId = u.Id AND p.Id = pl.RelatedPostId AND p.Id = c.PostId AND pl.LinkTypeId = 1 AND p.Id = v.PostId AND b.UserId = u.Id AND p.Id = ph.PostId | stats |
SELECT o_shippriority, SUM(l_extendedprice * (1 - l_discount)) AS revenue, l_orderkey, o_orderdate FROM customer, orders, lineitem WHERE l_shipdate > DATE 1 AND c_custkey = o_custkey AND c_mktsegment = 1 AND o_orderdate < DATE 1 AND l_orderkey = o_orderkey GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE o_orderdate >= DATE 1 AND l_suppkey = s_suppkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND s_nationkey = n_nationkey AND r_name = 1 AND n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND c_nationkey = s_nationkey AND c_custkey = o_custkey GROUP BY n_name ORDER BY revenue 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.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND mc.movie_id = mi.movie_id AND t.id = mi.movie_id AND t.id = mc.movie_id AND it.info = 'bottom 10 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi.info_type_id AND ct.kind = 'production companies' | job |
SELECT MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie, MIN(k.keyword) AS movie_keyword 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 ci.movie_id = mk.movie_id AND n.id = ci.person_id AND t.production_year > 2010 AND t.id = mk.movie_id AND t.id = ci.movie_id AND k.id = mk.keyword_id AND n.name LIKE '%Downey%Robert%' | 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 mi.movie_id = ci.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = mi.movie_id AND t.production_year > 2000 AND t.id = ci.movie_id AND n.id = ci.person_id AND cn.country_code = '[us]' AND chn.id = ci.person_role_id AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND an.person_id = n.id AND ci.person_id = an.person_id AND ci.role_id = rt.id AND mc.note LIKE '%(USA)%' AND it.info = 'release dates' AND n.gender = 'f' AND it.id = mi.info_type_id AND rt.role = 'actress' AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id | job |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE n.name_pcode_cf BETWEEN 'A' AND 'F' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND lt.id = ml.link_type_id AND pi.note = 'Volker Boehm' AND ml.linked_movie_id = t.id AND pi.person_id = an.person_id AND ci.person_id = n.id AND t.production_year BETWEEN 1980 AND 1995 AND lt.link = 'features' AND n.id = an.person_id AND t.id = ci.movie_id AND ci.movie_id = ml.linked_movie_id AND it.info = 'mini biography' AND pi.person_id = ci.person_id AND it.id = pi.info_type_id AND n.id = pi.person_id AND an.person_id = ci.person_id AND an.name LIKE '%a%' | job |
Select n_name, Sum(l_extendedprice * (1 - l_discount)) As revenue From customer, orders, lineitem, supplier, nation, region Where c_nationkey = s_nationkey And o_orderdate >= DATE 1 And r_name = 1 And s_nationkey = n_nationkey And c_custkey = o_custkey And l_suppkey = s_suppkey And o_orderdate < DATE 1 + INTERVAL '1' YEAR And n_regionkey = r_regionkey And l_orderkey = o_orderkey Group By n_name Order By revenue Asc | tpch |
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 ca_gmt_offset = -6 And s_gmt_offset = -6 And d_moy = 5 ) As all_sales And (p_channel_dmail = 'Y' Or p_channel_email = 'Y' Or p_channel_tv = 'Y') And i_category = 'Home' And d_year = 2002 And d_year = 2002 And i_category = 'Home' And d_moy = 5 ) As promotional_sales, ( Select Sum(ss_ext_sales_price) As total From store_sales Join store On ss_store_sk = s_store_sk Join date_dim On ss_sold_date_sk = d_date_sk Join customer On ss_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join item On ss_item_sk = i_item_sk Where ca_gmt_offset = -6 And s_gmt_offset = -6 Order By promotions, total Limit 100; | tpcds |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[de]' AND ct.id = mc.company_type_id AND kt.id = t.kind_id AND it.info = 'rating' AND mc.movie_id = t.id AND ct.kind = 'production companies' AND cn.id = mc.company_id AND mi.movie_id = t.id AND kt.kind = 'movie' AND mi.movie_id = mc.movie_id AND miidx.movie_id = t.id AND mi.movie_id = miidx.movie_id AND it2.id = mi.info_type_id AND it2.info = 'release dates' AND miidx.movie_id = mc.movie_id AND it.id = miidx.info_type_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, votes AS v, users AS u WHERE c.Score = 0 AND u.Id = p.OwnerUserId AND u.Id = v.UserId AND u.Id = c.UserId AND p.ViewCount >= 0 AND p.Score >= 0 | stats |
WITH _q AS ( SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND 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_orderkey = l1.l_orderkey AND s_nationkey = n_nationkey AND l1.l_receiptdate > l1.l_commitdate GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 ) SELECT * FROM _q; | tpch |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE t.production_year > 1950 AND lt.link LIKE '%follow%' AND ct.id = mc.company_type_id AND mi.movie_id = t.id AND cn.country_code = '[us]' AND ml.movie_id = mc.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND t.id = mk.movie_id AND cn.id = mc.company_id AND ml.movie_id = mi.movie_id AND it.info = 'release dates' AND it.id = mi.info_type_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mk.movie_id AND mc.note LIKE '%(USA)%' AND mi.note LIKE '%internet%' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND lt.id = ml.link_type_id AND t.id = ml.movie_id AND mi.info LIKE 'USA:% 199%' AND k.id = mk.keyword_id | job |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE c_nationkey = s_nationkey AND c_custkey = o_custkey AND r_name = 1 AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND s_nationkey = n_nationkey AND o_orderdate >= DATE 1 AND n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND l_suppkey = s_suppkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_shipdate < l_commitdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_commitdate < l_receiptdate AND o_orderkey = l_orderkey AND l_receiptdate >= DATE 1 AND l_shipmode IN (1, 1) GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 10; | tpch |
SELECT cust_nation, SUM(volume) AS revenue, supp_nation, l_year FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE c_custkey = o_custkey AND o_orderkey = l_orderkey AND s_nationkey = n1.n_nationkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND s_suppkey = l_suppkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND c_nationkey = n2.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE p.Id = ph.PostId AND p.Id = pl.RelatedPostId AND pl.LinkTypeId = 1 AND c.UserId = u.Id AND p.Id = c.PostId AND p.Id = v.PostId AND p.Score <= 40 AND b.UserId = u.Id | stats |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mi.movie_id AND t.production_year > 2000 AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND k.keyword LIKE '%sequel%' AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German']) | job |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE cn.country_code = '[jp]' AND mc.company_id = cn.id AND n1.id = ci.person_id AND rt.role = 'actress' AND ci.note = '(voice: English version)' AND ci.movie_id = mc.movie_id AND ci.role_id = rt.id AND an1.person_id = n1.id AND ci.movie_id = t.id AND an1.person_id = ci.person_id AND t.id = mc.movie_id AND n1.name NOT LIKE '%Yu%' AND n1.name LIKE '%Yo%' AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(Japan)%' | job |
SELECT COUNT(1) FROM comments AS c, posts AS p, postHistory AS ph, votes AS v, users AS u WHERE p.OwnerUserId = ph.UserId AND p.Score <= 13 AND p.AnswerCount >= 0 AND ph.UserId = v.UserId AND u.Id = c.UserId AND c.UserId = p.OwnerUserId | stats |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE pi.note = 'Volker Boehm' AND it.id = pi.info_type_id AND lt.id = ml.link_type_id AND pi.person_id = an.person_id AND t.id = ci.movie_id AND an.person_id = ci.person_id AND pi.person_id = ci.person_id AND t.production_year BETWEEN 1980 AND 1995 AND an.name LIKE '%a%' AND n.id = an.person_id AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ci.person_id = n.id AND it.info = 'mini biography' AND n.id = pi.person_id AND ci.movie_id = ml.linked_movie_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND ml.linked_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 t.id = mk.movie_id AND t.id = mi.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 t.production_year > 2005 | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = t.id AND cn.country_code ='[sm]' AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND k.keyword ='character-name-IN-title' AND cn.id = mc.company_id AND mk.keyword_id = k.id | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE l1.l_receiptdate > l1.l_commitdate AND s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' AND 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 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 ps_partkey, Sum(ps_supplycost * ps_availqty) As VALUE From partsupp, supplier, nation Where ps_suppkey = s_suppkey AND s_nationkey = n_nationkey AND n_name = 1 Group By ps_partkey Having Sum(ps_supplycost * ps_availqty) > ( Select Sum(ps_supplycost * ps_availqty) * 1 From partsupp, supplier, nation Where ps_suppkey = s_suppkey And s_nationkey = n_nationkey And n_name = 1 ) Order By VALUE Desc | tpch |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority != '1-URGENT' AND o_orderpriority != '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_receiptdate >= DATE 1 AND l_shipmode IN (1, 1) AND o_orderkey = l_orderkey AND l_commitdate < l_receiptdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipdate < l_commitdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND l_orderkey = o_orderkey AND p_partkey = l_partkey AND o_custkey = c_custkey AND p_type = 1 ) AS all_nations AND s_suppkey = l_suppkey AND s_nationkey = n2.n_nationkey AND c_nationkey = n1.n_nationkey AND n1.n_regionkey = r_regionkey AND r_name = 1 GROUP BY o_year ORDER BY o_year | 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 s_market_id = 9 and d_year = 2001 and ( (cd_marital_status = 'M' and cd_education_status = 'College' and ss_sales_price >= 77 AND ss_sales_price <= 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 ( (hd_dep_count = 2 and hd_vehicle_count <= 3) or (hd_dep_count = 4 and hd_vehicle_count <= 3) or (hd_dep_count = 5 and hd_vehicle_count <= 5) ) and ca_country = 'United States' and ca_state in ('TX', 'GA', 'NC'); | tpcds |
select ss_ticket_number, c_last_name, c_salutation, cnt, c_preferred_cust_flag, 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 d_dom between 1 and 2 and (hd_buy_potential = '1001-5000' or hd_buy_potential = '5001-10000') and hd_vehicle_count > 0 and d_year = ANY(ARRAY[1999, 2002, 2001]) and s_county in ('Williamson County', 'Jefferson County', 'Jackson County', 'Champaign County') group by ss_ticket_number, ss_customer_sk ) as dj join customer on ss_customer_sk = c_customer_sk where cnt between 1 and 5 order by cnt desc limit 1000; | tpcds |
SELECT bought_city, ca_city, ss_ticket_number, extended_tax, list_price, extended_price, c_first_name, c_last_name FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 6 OR hd_vehicle_count = 2) AND s_city IN ('Five Points', 'Springfield') AND d_year IN (2001, 2000, 2002) AND d_dow IN (6, 0) GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT i_item_id, w_state, SUM(CASE WHEN (CAST(d_date AS DATE) < CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_before, SUM(CASE WHEN (CAST(d_date AS DATE) >= CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_after FROM catalog_sales LEFT JOIN catalog_returns ON cs_order_number = cr_order_number AND cs_item_sk = cr_item_sk JOIN warehouse ON cs_warehouse_sk = w_warehouse_sk JOIN item ON i_item_sk = cs_item_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk WHERE i_current_price BETWEEN 89.17 AND 89.17 + 1.49 AND d_date BETWEEN (CAST('2000-03-11' AS DATE) - INTERVAL '30 days') AND (CAST('2000-03-11' AS DATE) + INTERVAL '30 days') GROUP BY w_state, i_item_id ORDER BY w_state, i_item_id; | 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 pi.person_id = ci.person_id AND an.name LIKE '%a%' AND an.person_id = ci.person_id AND lt.id = ml.link_type_id AND t.production_year BETWEEN 1980 AND 1995 AND ci.person_id = n.id AND lt.link = 'features' AND n.id = an.person_id AND n.id = pi.person_id AND it.id = pi.info_type_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND it.info = 'mini biography' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ml.linked_movie_id = t.id AND pi.note = 'Volker Boehm' AND t.id = ci.movie_id AND pi.person_id = an.person_id | job |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.Id = c.PostId AND u.Id = p.OwnerUserId AND p.Id = ph.PostId AND p.Id = pl.PostId AND p.AnswerCount >= 0 AND p.PostTypeId = 1 AND p.Id = v.PostId | stats |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE it2.id = mi.info_type_id AND ct.kind = 'production companies' AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND it.info = 'rating' AND it2.info = 'release dates' AND kt.kind = 'movie' AND mi.movie_id = t.id AND miidx.movie_id = t.id AND kt.id = t.kind_id AND miidx.movie_id = mc.movie_id AND mc.movie_id = t.id AND ct.id = mc.company_type_id AND cn.country_code = '[de]' AND it.id = miidx.info_type_id AND mi.movie_id = miidx.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 mi.info In ('Germany', 'German', 'USA', 'American') And kt.kind In ('movie', 'episode') And mi.movie_id = mc.movie_id And mc.movie_id = mi_idx.movie_id And mi_idx.info < '7.0' And mk.movie_id = mi.movie_id And t.production_year > 2008 And it1.info = 'countries' And mi.movie_id = mi_idx.movie_id And t.id = mc.movie_id And t.id = mi_idx.movie_id And mk.movie_id = mc.movie_id And t.id = mi.movie_id And mk.movie_id = mi_idx.movie_id And mc.note Not Like '%(USA)%' And kt.id = t.kind_id And it2.info = 'rating' And it2.id = mi_idx.info_type_id And mc.note Like '%(200%)%' And it1.id = mi.info_type_id And k.keyword In ('murder', 'murder-In-title', 'blood', 'violence') And ct.id = mc.company_type_id And k.id = mk.keyword_id And cn.id = mc.company_id And cn.country_code != '[us]' And t.id = mk.movie_id | job |
SELECT i_item_id, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(cs_quantity) AS catalog_sales_quantitycount, COUNT(sr_return_quantity) AS store_returns_quantitycount, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, s_state, i_item_desc, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov 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 = '2001Q1' AND d2.d_quarter_name IN ('2001Q1', '2002Q2', '1999Q4') AND d3.d_quarter_name IN ('2001Q1', '2002Q2', '1999Q4') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT 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_shipmode IN (1, 1) AND l_commitdate < l_receiptdate AND l_shipdate < l_commitdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND o_orderkey = l_orderkey GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_commitdate < l_receiptdate AND o_orderkey = l_orderkey AND l_shipmode IN (1, 1) AND l_receiptdate >= DATE 1 AND l_shipdate < l_commitdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
select i_item_id, avg(ss_quantity) as agg1, avg(ss_list_price) as agg2, avg(ss_coupon_amt) as agg3, avg(ss_sales_price) as agg4 from store_sales join customer_demographics on ss_cdemo_sk = cd_demo_sk join date_dim on ss_sold_date_sk = d_date_sk join item on ss_item_sk = i_item_sk join promotion on ss_promo_sk = p_promo_sk where (p_channel_email = 'N' or p_channel_event = 'N') and cd_gender = 'M' and d_year = 2001 and cd_education_status = 'Primary' and cd_marital_status = 'D' group by i_item_id order by i_item_id 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 mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi.movie_id AND it.id = mi.info_type_id AND it.info = 'bottom 10 rank' AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND mc.movie_id = mi.movie_id AND t.id = mc.movie_id | job |
SELECT MIN(t.title) AS movie_title, MIN(mc.note) AS production_note, 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.kind = 'production companies' AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND it.info = 'top 250 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id | job |
SELECT extended_price, c_last_name, c_first_name, extended_tax, ca_city, ss_ticket_number, bought_city, 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.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 it.id = miidx.info_type_id AND kt.kind = 'movie' AND mi.movie_id = mc.movie_id AND kt.id = t.kind_id AND it.info = 'rating' AND mi.movie_id = miidx.movie_id AND mi.movie_id = t.id AND ct.kind = 'production companies' AND miidx.movie_id = mc.movie_id AND it2.info = 'release dates' AND cn.id = mc.company_id AND mc.movie_id = t.id AND cn.country_code = '[de]' AND ct.id = mc.company_type_id AND it2.id = mi.info_type_id | job |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, SUM(ss_quantity) AS store_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, SUM(cs_quantity) AS catalog_sales_quantity FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d2.d_year = 2000 AND d1.d_year = 2000 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d1.d_moy = 5 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d3.d_year = 2000 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name; | tpcds |
select dt.d_year, item.i_brand_id as brand_id, item.i_brand as brand, sum(ss_ext_sales_price) as ext_price from date_dim as dt INNER JOIN store_sales on dt.d_date_sk = store_sales.ss_sold_date_sk INNER JOIN item on store_sales.ss_item_sk = item.i_item_sk where item.i_manager_id = 57 AND dt.d_year = 2002 AND dt.d_moy = 12 group by dt.d_year, item.i_brand, item.i_brand_id order by dt.d_year, ext_price desc, brand_id limit 100; | tpcds |
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