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SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_partkey = ps_partkey AND p_brand <> 1 AND p_size = ANY(ARRAY[1, 1, 1, 1, 1, 1, 1, 1]) AND p_type NOT LIKE 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note LIKE '%(uncredited)%' AND rt.role = 'actor' AND chn.id = ci.person_role_id AND cn.country_code = '[ru]' AND ci.movie_id = mc.movie_id AND ci.note LIKE '%(voice)%' AND rt.id = ci.role_id AND t.production_year > 2005 AND cn.id = mc.company_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND ct.id = mc.company_type_id | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.id = mc.company_id AND k.keyword ='character-name-in-title' AND mc.movie_id = mk.movie_id AND cn.country_code ='[sm]' AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.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 n1.n_regionkey = r_regionkey AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_nationkey = n2.n_nationkey AND c_nationkey = n1.n_nationkey AND o_custkey = c_custkey AND p_type = 1 ) AS all_nations AND l_orderkey = o_orderkey AND r_name = 1 GROUP BY o_year ORDER BY o_year | tpch |
SELECT l_year, SUM(volume) AS revenue, 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 c_nationkey = n2.n_nationkey AND c_custkey = o_custkey AND s_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey AND o_orderkey = l_orderkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mc.movie_id AND it.info = 'top 250 rank' AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND t.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 i_category = 'Music' AND ca_gmt_offset = -7 AND i_category = 'Music' AND d_year = 1998 AND s_gmt_offset = -7 AND d_year = 1998 AND d_moy = 8 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -7 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_moy = 8 ) AS all_sales AND s_gmt_offset = -7 ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT c_custkey, c_name, c_acctbal, c_phone, n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_comment, c_address FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, MAX(ss_net_profit) AS store_sales_profit, MAX(sr_net_loss) AS store_returns_loss, MAX(cs_net_profit) AS catalog_sales_profit FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d2.d_moy BETWEEN 5 AND 5 + 3 AND d1.d_year = 2002 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d2.d_year = 2002 AND d1.d_moy BETWEEN 5 AND 5 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 max(mc.note) as production_note, max(t.title) as movie_title, max(t.production_year) as movie_year from company_type as ct, info_type as it, movie_companies as mc, movie_info_idx as mi_idx, title as t where ct.kind = 'production companies' and 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 20; | job |
SELECT AVG(cs_coupon_amt) AS agg3, AVG(cs_list_price) AS agg2, AVG(cs_quantity) AS agg1, i_item_id, AVG(cs_sales_price) AS agg4 FROM catalog_sales INNER JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk INNER JOIN date_dim ON cs_sold_date_sk = d_date_sk INNER JOIN item ON cs_item_sk = i_item_sk INNER JOIN promotion ON cs_promo_sk = p_promo_sk WHERE cd_education_status = 'Advanced Degree' AND cd_gender = 'M' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_marital_status = 'S' AND d_year = 2002 GROUP BY i_item_id ORDER BY i_item_id 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 mc.movie_id = t.id AND k.keyword ='character-name-IN-title' AND mk.keyword_id = k.id AND cn.country_code ='[nl]' AND t.id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = mk.movie_id | job |
select i_brand_id as brand_id, i_brand as brand, i_manufact_id, i_manufact, sum(ss_ext_sales_price) as ext_price from date_dim 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 i_manager_id = 77 AND d_moy = 11 AND d_year = 2002 group by i_brand, i_brand_id, i_manufact_id, i_manufact order by ext_price desc, brand, brand_id, i_manufact_id, i_manufact; | tpcds |
SELECT p_size, p_type, p_brand, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_partkey = ps_partkey AND p_brand <> 1 AND p_type NOT LIKE 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND NOT EXISTS (SELECT 1 FROM (SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%') AS _ne WHERE _ne.ps_suppkey = ps_suppkey) 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 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 ci.role_id = rt.id AND t.production_year > 1990 AND mk.movie_id = mc.movie_id AND cn.id = mc.company_id AND an.person_id = n.id AND k.keyword = 'anime' AND n.id = ci.person_id AND mc.note LIKE '%(Japan)%' AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND mk.movie_id = ci.movie_id AND t.id = mk.movie_id AND n.gender = 'f' AND ct.id = mc.company_type_id AND t.id = ci.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.id = mc.movie_id AND k.id = mk.keyword_id AND ci.note LIKE '%(voice: English version)%' AND ci.person_id = an.person_id AND cn.country_code = '[jp]' LIMIT 10; | job |
SELECT total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100, promotions FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE i_category = 'Jewelry' AND i_category = 'Jewelry' AND d_year = 2002 AND d_moy = 12 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -6 AND ca_gmt_offset = -6 AND d_moy = 12 ) AS all_sales AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -6 AND s_gmt_offset = -6 AND d_year = 2002 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 mi.movie_id = mc.movie_id AND miidx.movie_id = t.id AND mi.movie_id = t.id AND miidx.movie_id = mc.movie_id AND it2.info = 'release dates' AND kt.id = t.kind_id AND kt.kind = 'movie' AND cn.id = mc.company_id AND ct.kind = 'production companies' AND mi.movie_id = miidx.movie_id AND it.id = miidx.info_type_id AND cn.country_code = '[de]' AND mc.movie_id = t.id AND it.info = 'rating' AND it2.id = mi.info_type_id AND ct.id = mc.company_type_id | job |
SELECT COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, i_item_id, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, i_item_desc, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, s_state 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 COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_size, p_type, p_brand FROM partsupp, part WHERE p_type NOT LIKE 1 AND p_brand <> 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_partkey = ps_partkey GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
select sum(l_extendedprice * l_discount) as revenue from lineitem where l_shipdate >= DATE 1 and l_shipdate < DATE 1 + INTERVAL '1' YEAR and l_discount between 1 - 0.01 and 1 + 0.01 and l_quantity < 1 limit 200; | tpch |
Select MAX(mi_idx.info) As rating, MAX(t.title) As movie_title From info_type As it, movie_info_idx As mi_idx, title As t Where t.production_year >= 2000 AND t.production_year <= 2010 And mi_idx.info > '7.0' And it.info ='rating' And t.id = mi_idx.movie_id And it.id = mi_idx.info_type_id | job |
Select c_last_name, ss_ticket_number, extended_price, list_price, ca_city, extended_tax, bought_city, c_first_name From ( Select ss_ticket_number, ss_customer_sk, ca_city As bought_city, Sum(ss_ext_sales_price) As extended_price, Sum(ss_ext_list_price) As list_price, Sum(ss_ext_tax) As extended_tax From store_sales Join date_dim On ss_sold_date_sk = d_date_sk Join store On ss_store_sk = s_store_sk Join household_demographics On ss_hdemo_sk = hd_demo_sk Join customer_address On ss_addr_sk = ca_address_sk Where (hd_dep_count = 5 Or hd_vehicle_count = 0) And d_dow = ANY(ARRAY[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 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 o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND ps_partkey = l_partkey AND p_partkey = l_partkey AND s_nationkey = n_nationkey AND ps_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
Select i_item_id, i_item_desc, s_store_id, s_store_name, Max(ss_net_profit) As store_sales_profit, Max(sr_net_loss) As store_returns_loss, Max(cs_net_profit) As catalog_sales_profit From store_sales Join store_returns On store_sales.ss_customer_sk = store_returns.sr_customer_sk And store_sales.ss_item_sk = store_returns.sr_item_sk And store_sales.ss_ticket_number = store_returns.sr_ticket_number Join catalog_sales On store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk And store_returns.sr_item_sk = catalog_sales.cs_item_sk Join date_dim As d1 On store_sales.ss_sold_date_sk = d1.d_date_sk Join date_dim As d2 On store_returns.sr_returned_date_sk = d2.d_date_sk Join date_dim As d3 On catalog_sales.cs_sold_date_sk = d3.d_date_sk Join store On store_sales.ss_store_sk = store.s_store_sk Join item On store_sales.ss_item_sk = item.i_item_sk Where d2.d_year = 2002 And d1.d_moy >= 2 AND d1.d_moy <= 8 And d3.d_moy Between 2 And 8 + 3 And d2.d_moy Between 2 And 8 + 3 And d3.d_year = 2002 And d1.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 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 = c.PostId AND p.Id = v.PostId AND pl.LinkTypeId = 1 AND c.Score = 0 AND p.Id = pl.RelatedPostId AND b.UserId = c.UserId | 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 kt.kind = 'movie' And cn.country_code = '[de]' And it2.id = mi.info_type_id And cn.id = mc.company_id And mc.movie_id = t.id And mi.movie_id = miidx.movie_id And ct.kind = 'production companies' And miidx.movie_id = t.id And mi.movie_id = t.id And miidx.movie_id = mc.movie_id And it.info = 'rating' And mi.movie_id = mc.movie_id And it2.info = 'release dates' And kt.id = t.kind_id And it.id = miidx.info_type_id And ct.id = mc.company_type_id | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'top 250 rank' AND ct.kind = 'production companies' AND t.id = mc.movie_id | job |
SELECT AVG(ss_ext_wholesale_cost), AVG(ss_ext_sales_price), SUM(ss_ext_wholesale_cost), AVG(ss_quantity) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ca_state IN ('OH', 'GA', 'NY') AND s_market_id = 10 AND ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price >= 78 AND ss_sales_price <= 126) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 69 AND 117) OR (cd_marital_status = 'D' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 147 AND 164) ) AND ca_country = 'United States' AND d_year = 2002 AND ( (hd_dep_count = 3 AND hd_vehicle_count <= 3) OR (hd_dep_count = 2 AND hd_vehicle_count <= 2) OR (hd_dep_count = 4 AND hd_vehicle_count <= 5) ) | 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 cn.country_code = '[us]' AND it.id = mi.info_type_id AND n.gender = 'f' AND an.person_id = n.id AND t.production_year > 2000 AND t.id = mi.movie_id AND chn.id = ci.person_role_id AND it.info = 'release dates' AND mc.note LIKE '%(USA)%' AND rt.role = 'actress' AND mi.movie_id = mc.movie_id AND ci.person_id = an.person_id AND t.id = mc.movie_id AND mi.movie_id = ci.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.movie_id = mc.movie_id AND cn.id = mc.company_id AND ci.role_id = rt.id AND n.id = ci.person_id AND t.id = ci.movie_id | job |
select count(*) from comments as c, posts as p, postHistory as ph, votes as v, users as u where u.Id = c.UserId AND p.Score <= 13 AND p.AnswerCount >= 0 AND ph.UserId = v.UserId AND c.UserId = p.OwnerUserId AND p.OwnerUserId = ph.UserId | stats |
WITH _q AS ( SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND cn.country_code ='[de]' AND k.keyword ='character-name-IN-title' AND cn.id = mc.company_id AND mk.keyword_id = k.id ) SELECT * FROM _q; | 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 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) AND o_orderkey = l_orderkey AND l_commitdate < l_receiptdate AND l_receiptdate >= DATE 1 AND l_shipdate < l_commitdate GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 500; | tpch |
SELECT i_current_price, i_item_desc, i_item_id 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 d_date BETWEEN CAST('2000-05-01' AS DATE) AND (CAST('2000-05-01' AS DATE) + INTERVAL '60 days') AND i_manufact_id IN (27, 394, 425, 158) AND inv_quantity_on_hand BETWEEN 100 AND 500 AND i_current_price BETWEEN 75 AND 75 + 30 GROUP BY i_item_id, i_item_desc, i_current_price ORDER BY i_item_id LIMIT 100; | tpcds |
WITH _q AS ( SELECT COUNT(1) FROM comments AS c, posts AS p, votes AS v, users AS u WHERE u.Id = v.UserId AND u.Id = c.UserId AND c.Score = 0 AND p.ViewCount >= 0 ) SELECT * FROM _q AND p.Score >= 0 AND u.Id = p.OwnerUserId | stats |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority != '1-URGENT' AND o_orderpriority != '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) AND l_commitdate < l_receiptdate AND l_receiptdate >= DATE 1 AND l_shipdate < l_commitdate AND o_orderkey = l_orderkey GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, AVG(cs_quantity) AS catalog_sales_quantityave, COUNT(ss_quantity) AS store_sales_quantitycount, s_state, AVG(sr_return_quantity) AS store_returns_quantityave, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, i_item_id, COUNT(sr_return_quantity) AS store_returns_quantitycount, i_item_desc, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_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 = '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 sum( case when o_orderpriority <> '1-URGENT' and o_orderpriority <> '2-HIGH' then 1 else 0 end ) as low_line_count, l_shipmode, sum( case when o_orderpriority = '1-URGENT' or o_orderpriority = '2-HIGH' then 1 else 0 end ) as high_line_count from orders, lineitem where l_receiptdate < DATE 1 + INTERVAL '1' YEAR and l_receiptdate >= DATE 1 and l_commitdate < l_receiptdate and o_orderkey = l_orderkey and l_shipdate < l_commitdate and l_shipmode in (1, 1) group by l_shipmode order by l_shipmode | tpch |
SELECT i_item_id, SUM(sr_return_quantity) AS store_returns_quantity, s_store_id, i_item_desc, SUM(cs_quantity) AS catalog_sales_quantity, s_store_name, SUM(ss_quantity) AS store_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 d1.d_moy = 5 AND d1.d_year = 2000 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d2.d_year = 2000 AND d3.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 LIMIT 100; | tpcds |
Select i_item_id, Avg(ss_quantity) As agg1, Avg(ss_list_price) As agg2, Avg(ss_coupon_amt) As agg3, Avg(ss_sales_price) As agg4 From store_sales Join customer_demographics On ss_cdemo_sk = cd_demo_sk Join date_dim On ss_sold_date_sk = d_date_sk Join item On ss_item_sk = i_item_sk Join promotion On ss_promo_sk = p_promo_sk Where cd_marital_status = 'D' And cd_gender = 'M' And d_year = 2001 And cd_education_status = 'Primary' And (p_channel_email = 'N' Or p_channel_event = 'N') Group By i_item_id Order By i_item_id; | 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 k.keyword ='character-name-in-title' AND mk.keyword_id = k.id AND cn.country_code ='[nl]' AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.id LIMIT 20; | job |
select min(t.title) as movie_title, min(mi_idx.info) as rating from info_type as it, movie_info_idx as mi_idx, title as t where it.id = mi_idx.info_type_id AND mi_idx.info > '7.0' AND it.info ='rating' AND t.id = mi_idx.movie_id AND t.production_year BETWEEN 2000 AND 2010 | 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 d_year = ANY(ARRAY[2000, 2000, 2003]) AND hd_vehicle_count > 0 AND s_county in ('Williamson County', 'Washington County', 'Placer County') AND (hd_buy_potential = '>10000' or hd_buy_potential = 'Unknown') AND (case when hd_vehicle_count > 0 then hd_dep_count / hd_vehicle_count else NULL end) > 1.56 AND (d_dom BETWEEN 1 AND 3 or d_dom BETWEEN 25 AND 28) 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 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 lt.link LIKE '%follow%' AND cn.id = mc.company_id AND it.id = mi.info_type_id AND k.keyword = ANY(ARRAY['sequel', 'revenge', 'based-on-novel']) AND t.production_year > 1950 AND ct.id = mc.company_type_id AND lt.id = ml.link_type_id AND mi.info LIKE 'USA:% 199%' AND ml.movie_id = mc.movie_id AND k.id = mk.keyword_id AND mi.note LIKE '%internet%' AND it.info = 'release dates' AND mi.movie_id = t.id AND mc.note LIKE '%(USA)%' AND t.id = ml.movie_id AND t.id = mk.movie_id AND ml.movie_id = mk.movie_id AND cn.country_code = '[us]' AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT MAX(sr_net_loss) AS store_returns_loss, i_item_desc, s_store_name, MAX(cs_net_profit) AS catalog_sales_profit, i_item_id, MAX(ss_net_profit) AS store_sales_profit, s_store_id FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d2.d_moy BETWEEN 3 AND 7 + 3 AND d3.d_moy BETWEEN 3 AND 7 + 3 AND d1.d_year = 2002 AND d3.d_year = 2002 AND d1.d_moy BETWEEN 3 AND 7 AND d2.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 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 mk.keyword_id = k.id AND mc.movie_id = t.id AND cn.id = mc.company_id AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND cn.country_code ='[de]' AND k.keyword ='character-name-in-title' LIMIT 200; | job |
SELECT SUM(ss_ext_sales_price) AS ext_price, i_manufact_id, i_manufact, i_brand AS brand, 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 d_moy = 11 AND i_manager_id = 12 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND d_year = 1999 GROUP BY i_brand, i_brand_id, i_manufact_id, i_manufact ORDER BY ext_price DESC, brand, brand_id, i_manufact_id, i_manufact LIMIT 100; | tpcds |
SELECT 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 LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND it.id = mi.info_type_id AND t.id = mc.movie_id AND t.id = mi.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.info = 'bottom 10 rank' | job |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE s_suppkey = l_suppkey AND s_nationkey = n_nationkey AND ps_suppkey = l_suppkey AND ps_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND o_orderkey = l_orderkey AND p_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postHistory AS ph, votes AS v, users AS u WHERE c.UserId = p.OwnerUserId AND u.Id = c.UserId AND p.OwnerUserId = ph.UserId AND p.Score <= 13 AND ph.UserId = v.UserId AND p.AnswerCount >= 0 LIMIT 1000; | stats |
SELECT COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, COUNT(sr_return_quantity) AS store_returns_quantitycount, AVG(cs_quantity) AS catalog_sales_quantityave, i_item_desc, i_item_id, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, s_state 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', '2000Q2', '1999Q3') AND d3.d_quarter_name IN ('2001Q1', '2000Q2', '1999Q3') 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 s_suppkey = l1.l_suppkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND o_orderstatus = 'F' AND s_nationkey = n_nationkey AND n_name = 1 AND o_orderkey = l1.l_orderkey AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND l1.l_receiptdate > l1.l_commitdate GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
select avg(ss_quantity) as store_sales_quantityave, STDDEV_SAMP(ss_quantity) as store_sales_quantitystdev, i_item_id, i_item_desc, STDDEV_SAMP(ss_quantity) / avg(ss_quantity) as store_sales_quantitycov, STDDEV_SAMP(cs_quantity) / avg(cs_quantity) as catalog_sales_quantitycov, count(sr_return_quantity) as store_returns_quantitycount, count(cs_quantity) as catalog_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) / avg(sr_return_quantity) as store_returns_quantitycov, count(ss_quantity) as store_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) as store_returns_quantitystdev, avg(cs_quantity) as catalog_sales_quantityave, s_state, avg(sr_return_quantity) as store_returns_quantityave 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', '2000Q2', '1999Q3') and d3.d_quarter_name in ('2001Q1', '2000Q2', '1999Q3') group by i_item_id, i_item_desc, s_state order by i_item_id, i_item_desc, s_state limit 100; | tpcds |
SELECT c_name, c_comment, SUM(l_extendedprice * (1 - l_discount)) AS revenue, n_name, c_address, c_acctbal, c_custkey, c_phone FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.id = mc.company_id AND k.keyword ='character-name-IN-title' AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mk.movie_id AND mc.movie_id = t.id AND cn.country_code ='[nl]' | 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 k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND n.name LIKE '%Downey%Robert%' AND n.id = ci.person_id AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id | job |
SELECT AVG(ss_list_price) AS agg2, AVG(ss_coupon_amt) AS agg3, AVG(ss_sales_price) AS agg4, AVG(ss_quantity) AS agg1, i_item_id FROM store_sales INNER JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN item ON ss_item_sk = i_item_sk INNER JOIN promotion ON ss_promo_sk = p_promo_sk WHERE cd_gender = 'M' AND cd_marital_status = 'D' AND cd_education_status = '4 yr Degree' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND d_year = 2002 GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT cntrycode, COUNT(1) AS numcust, SUM(c_acctbal) AS totacctbal FROM ( SELECT SUBSTRING(c_phone FROM 1 FOR 2) AS cntrycode, c_acctbal FROM customer WHERE c_acctbal > ( SELECT AVG(c_acctbal) FROM customer WHERE c_acctbal > 0.00 AND SUBSTRING(c_phone FROM 1 FOR 2) IN (1, 1, 1, 1, 1, 1, 1) ) AND NOT EXISTS ( SELECT * FROM orders WHERE o_custkey = c_custkey ) ) AS custsale AND SUBSTRING(c_phone FROM 1 FOR 2) IN (1, 1, 1, 1, 1, 1, 1) GROUP BY cntrycode ORDER BY cntrycode LIMIT 1000; | tpch |
Select Count(sr_return_quantity) As store_returns_quantitycount, s_state, Avg(ss_quantity) As store_sales_quantityave, STDDEV_SAMP(ss_quantity) As store_sales_quantitystdev, Count(cs_quantity) As catalog_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) / Avg(sr_return_quantity) As store_returns_quantitycov, i_item_desc, i_item_id, STDDEV_SAMP(cs_quantity) / Avg(cs_quantity) As catalog_sales_quantitycov, Avg(cs_quantity) As catalog_sales_quantityave, STDDEV_SAMP(sr_return_quantity) As store_returns_quantitystdev, Avg(sr_return_quantity) As store_returns_quantityave, Count(ss_quantity) As store_sales_quantitycount, STDDEV_SAMP(ss_quantity) / Avg(ss_quantity) As store_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 = '1999Q2' And d2.d_quarter_name In ('1999Q2', '2002Q2', '1999Q3') And d3.d_quarter_name In ('1999Q2', '2002Q2', '1999Q3') Group By i_item_id, i_item_desc, s_state Order By i_item_id, i_item_desc, s_state Limit 100; | tpcds |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.keyword Like '%sequel%' AND t.production_year > 2000 AND t.id = mk.movie_id | job |
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 ct.id = mc.company_type_id AND cn.id = mc.company_id AND t.id = ci.movie_id AND chn.id = ci.person_role_id AND t.production_year > 2005 AND ci.note LIKE '%(uncredited)%' AND rt.role = 'actor' AND t.id = mc.movie_id AND rt.id = ci.role_id AND ci.note LIKE '%(voice)%' AND ci.movie_id = mc.movie_id AND cn.country_code = '[ru]' | 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 = mi.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND ml.movie_id = mc.movie_id AND cn.country_code = '[us]' AND mi.info LIKE 'USA:% 199%' AND it.id = mi.info_type_id AND t.production_year > 1950 AND lt.id = ml.link_type_id AND mk.movie_id = mc.movie_id AND t.id = ml.movie_id AND mc.note LIKE '%(USA)%' AND k.id = mk.keyword_id AND mi.movie_id = t.id AND it.info = 'release dates' AND ml.movie_id = mk.movie_id AND t.id = mk.movie_id AND cn.id = mc.company_id AND lt.link LIKE '%follow%' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND mi.note LIKE '%internet%' AND t.id = mc.movie_id | job |
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 rt.id = ci.role_id AND ci.note LIKE '%(uncredited)%' AND chn.id = ci.person_role_id AND t.id = ci.movie_id AND cn.id = mc.company_id AND cn.country_code = '[ru]' AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND ci.note LIKE '%(voice)%' AND rt.role = 'actor' AND t.production_year > 2005 AND ci.movie_id = mc.movie_id | job |
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 rt.id = ci.role_id AND ct.id = mc.company_type_id AND cn.country_code = '[ru]' AND chn.id = ci.person_role_id AND t.id = ci.movie_id AND rt.role = 'actor' AND ci.movie_id = mc.movie_id AND cn.id = mc.company_id AND t.id = mc.movie_id AND t.production_year > 2005 AND ci.note LIKE '%(uncredited)%' AND ci.note LIKE '%(voice)%' | job |
SELECT total_revenue, s_address, s_name, s_phone, s_suppkey FROM supplier, revenue0 WHERE total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) AND s_suppkey = supplier_no ORDER BY s_suppkey LIMIT 200; | tpch |
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.movie_id = mi_idx.movie_id AND it1.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND it2.id = mi.info_type_id AND cn.country_code = '[us]' AND at.movie_id = mc.movie_id AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND kt.kind = 'movie' AND mi_idx.info < '3.5' AND at.title LIKE '%Champion%' AND it2.info = 'release dates' AND mi_idx.movie_id = mc.movie_id AND at.movie_id = mi.movie_id AND mi.info LIKE 'USA:%200%' AND kt.id = t.kind_id AND t.id = mc.movie_id AND t.id = at.movie_id AND it1.info = 'rating' 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 kt.id = t.kind_id AND mi.info LIKE 'USA:%200%' AND kt.kind = 'movie' AND t.id = mi.movie_id AND mi_idx.movie_id = mc.movie_id AND t.id = mc.movie_id AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND it2.id = mi.info_type_id AND it2.info = 'release dates' AND at.title LIKE '%Champion%' AND at.movie_id = mi_idx.movie_id AND t.production_year > 2000 AND t.id = at.movie_id AND mi_idx.info < '3.5' AND at.movie_id = mi.movie_id AND at.movie_id = mc.movie_id AND t.id = mi_idx.movie_id AND it1.id = mi_idx.info_type_id AND cn.country_code = '[us]' AND mi.movie_id = mi_idx.movie_id AND it1.info = 'rating' | 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 d3.d_year = 2001 And d1.d_year = 2001 And d2.d_year = 2001 And d3.d_moy Between 2 And 2 + 3 And d1.d_moy = 2 And d2.d_moy Between 2 And 2 + 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 s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE r_name = 1 AND 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 AND s_nationkey = n_nationkey AND p_partkey = ps_partkey AND p_type LIKE 1 AND s_suppkey = ps_suppkey AND p_size = 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey 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_nationkey = n_nationkey AND s_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND ps_partkey = l_partkey AND ps_suppkey = l_suppkey AND o_orderkey = l_orderkey AND p_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, s_state, i_item_desc, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, i_item_id, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(sr_return_quantity) AS store_returns_quantitycount, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_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 = ANY(ARRAY['2001Q1', '2000Q2', '1999Q3']) AND d3.d_quarter_name IN ('2001Q1', '2000Q2', '1999Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT MIN(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 ct.id = mc.company_type_id AND mc.note NOT LIKE '%(USA)%' AND n.gender = 'f' AND ci.note LIKE '%(voice: English version)%' AND t.id = mc.movie_id AND ci.role_id = rt.id AND ci.movie_id = mc.movie_id AND an.person_id = n.id AND t.id = ci.movie_id AND cn.country_code = '[jp]' AND mk.movie_id = mc.movie_id AND k.keyword = 'anime' AND n.id = ci.person_id AND mk.movie_id = ci.movie_id AND ci.person_id = an.person_id AND t.production_year > 1990 AND rt.role = 'actress' AND mc.note LIKE '%(Japan)%' AND k.id = mk.keyword_id AND t.id = mk.movie_id AND cn.id = mc.company_id | job |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE t.id = mc.movie_id AND t.id = ci.movie_id AND ci.person_id = an.person_id AND mk.movie_id = ci.movie_id AND k.keyword = 'anime' AND k.id = mk.keyword_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND ci.note LIKE '%(voice: English version)%' AND rt.role = 'actress' AND mc.note LIKE '%(Japan)%' AND cn.country_code = '[jp]' AND n.id = ci.person_id AND ci.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.production_year > 1990 AND mk.movie_id = mc.movie_id AND t.id = mk.movie_id AND n.gender = 'f' AND ci.role_id = rt.id AND an.person_id = n.id | job |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE p_name LIKE 1 ) AS profit AND ps_partkey = l_partkey AND s_suppkey = l_suppkey AND s_nationkey = n_nationkey AND p_partkey = l_partkey AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
Select s_acctbal, p_mfgr, s_comment, s_phone, n_name, s_address, p_partkey, s_name From part, supplier, partsupp, nation, region Where p_partkey = ps_partkey And s_suppkey = ps_suppkey And p_size = 1 And p_type Like 1 And s_nationkey = n_nationkey And n_regionkey = r_regionkey And r_name = 1 And ps_supplycost = ( Select Min(ps_supplycost) From partsupp, supplier, nation, region Where p_partkey = ps_partkey And s_suppkey = ps_suppkey And s_nationkey = n_nationkey And n_regionkey = r_regionkey And r_name = 1 ) Order By s_acctbal Desc, n_name, s_name, p_partkey Limit 100 | tpch |
Select i_item_id, i_item_desc, s_store_id, s_store_name, Max(ss_net_profit) As store_sales_profit, Max(sr_net_loss) As store_returns_loss, Max(cs_net_profit) As catalog_sales_profit From store_sales Join store_returns On store_sales.ss_customer_sk = store_returns.sr_customer_sk And store_sales.ss_item_sk = store_returns.sr_item_sk And store_sales.ss_ticket_number = store_returns.sr_ticket_number Join catalog_sales On store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk And store_returns.sr_item_sk = catalog_sales.cs_item_sk Join date_dim As d1 On store_sales.ss_sold_date_sk = d1.d_date_sk Join date_dim As d2 On store_returns.sr_returned_date_sk = d2.d_date_sk Join date_dim As d3 On catalog_sales.cs_sold_date_sk = d3.d_date_sk Join store On store_sales.ss_store_sk = store.s_store_sk Join item On store_sales.ss_item_sk = item.i_item_sk Where d1.d_year = 2000 And d3.d_moy Between 5 And 4 + 3 And d2.d_year = 2000 And d1.d_moy Between 5 And 4 And d3.d_year = 2000 And d2.d_moy Between 5 And 4 + 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; | tpcds |
select c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt from ( select ss_ticket_number, ss_customer_sk, count(*) as cnt from store_sales join date_dim on ss_sold_date_sk = d_date_sk join store on ss_store_sk = s_store_sk join household_demographics on ss_hdemo_sk = hd_demo_sk where d_dom BETWEEN 1 AND 2 AND d_year in (2001, 2000, 2003) AND s_county in ('Franklin County', 'Jefferson County', 'Oglethorpe County', 'Maricopa County') AND hd_vehicle_count > 0 AND (hd_buy_potential = '1001-5000' or hd_buy_potential = '5001-10000') group by ss_ticket_number, ss_customer_sk ) as dj join customer on ss_customer_sk = c_customer_sk where cnt between 1 and 5 order by cnt asc limit 1000; | tpcds |
SELECT 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 s_suppkey = l_suppkey AND ps_suppkey = l_suppkey AND p_partkey = l_partkey AND o_orderkey = l_orderkey AND ps_partkey = l_partkey AND s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND n.id = ci.person_id AND n.name LIKE '%Hemsworth%Chris%' | job |
SELECT SUM(l_extendedprice) AS sum_base_price, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_quantity) AS avg_qty, SUM(l_quantity) AS sum_qty, l_linestatus, AVG(l_extendedprice) AS avg_price, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_discount) AS avg_disc, 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 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 = ci.movie_id AND cn.id = mc.company_id AND t.production_year > 1990 AND k.id = mk.keyword_id AND mc.note NOT LIKE '%(USA)%' AND ci.person_id = an.person_id AND cn.country_code = '[jp]' AND n.gender = 'f' AND mk.movie_id = mc.movie_id AND rt.role = 'actress' AND t.id = mc.movie_id AND n.id = ci.person_id AND an.person_id = n.id AND ct.id = mc.company_type_id AND ci.note LIKE '%(voice: English version)%' AND t.id = mk.movie_id AND mc.note LIKE '%(Japan)%' AND k.keyword = 'anime' AND ci.role_id = rt.id AND mk.movie_id = ci.movie_id AND ci.movie_id = mc.movie_id | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE 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 s_nationkey = n_nationkey AND l1.l_receiptdate > l1.l_commitdate AND n_name = 1 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 o_orderstatus = 'F' GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | 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 = c.PostId AND p.Id = pl.RelatedPostId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 AND p.Id = v.PostId AND p.Score <= 40 AND b.UserId = u.Id AND c.UserId = u.Id | stats |
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 d_year = 2001 AND cd_education_status = 'Primary' AND (p_channel_email = 'N' Or p_channel_event = 'N') AND cd_marital_status = 'D' AND cd_gender = 'M' Group By i_item_id Order By i_item_id 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 + INTERVAL '1' YEAR AND o_orderkey = l_orderkey AND l_commitdate < l_receiptdate AND l_shipmode = ANY(ARRAY[1, 1]) AND l_receiptdate >= DATE 1 AND l_shipdate < l_commitdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE l1.l_receiptdate > l1.l_commitdate AND n_name = 1 AND s_nationkey = n_nationkey AND o_orderstatus = 'F' 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 EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND s_suppkey = l1.l_suppkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE 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 s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' AND n_name = 1 AND l1.l_receiptdate > l1.l_commitdate AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND o_orderkey = l1.l_orderkey 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 k.id = mk.keyword_id AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German']) AND mk.movie_id = mi.movie_id AND t.production_year > 2000 AND t.id = mk.movie_id AND k.keyword LIKE '%sequel%' AND t.id = mi.movie_id | job |
SELECT i_item_desc, i_current_price, i_item_id FROM item JOIN inventory ON i_item_sk = inv_item_sk JOIN date_dim ON d_date_sk = inv_date_sk JOIN catalog_sales ON cs_item_sk = i_item_sk WHERE inv_quantity_on_hand BETWEEN 100 AND 500 AND i_current_price BETWEEN 75 AND 75 + 30 AND d_date BETWEEN CAST('2000-05-01' AS DATE) AND (CAST('2000-05-01' AS DATE) + INTERVAL '60 days') AND i_manufact_id IN (27, 394, 425, 158) GROUP BY i_item_id, i_item_desc, i_current_price ORDER BY i_item_id; | tpcds |
SELECT s_acctbal, p_mfgr, s_comment, p_partkey, s_name, s_address, s_phone, n_name FROM part, supplier, partsupp, nation, region WHERE p_type LIKE 1 AND p_partkey = ps_partkey AND r_name = 1 AND p_size = 1 AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND ps_supplycost = ( SELECT MAX(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 p_brand, p_type, p_size, Count(Distinct ps_suppkey) As supplier_cnt From partsupp, part Where ps_suppkey Not In ( Select s_suppkey From supplier Where s_comment Like '%Customer%Complaints%' ) And p_type Not Like 1 And p_brand <> 1 And p_partkey = ps_partkey And p_size In (1, 1, 1, 1, 1, 1, 1, 1) Group By p_brand, p_type, p_size Order By supplier_cnt Desc, p_brand, p_type, p_size | tpch |
with _q as ( select a.ca_state as state, count(*) as cnt from customer_address as a join customer as c on a.ca_address_sk = c.c_current_addr_sk join store_sales as s on c.c_customer_sk = s.ss_customer_sk join date_dim as d on s.ss_sold_date_sk = d.d_date_sk join item as i on s.ss_item_sk = i.i_item_sk where d.d_month_seq = ( select distinct d_month_seq from date_dim where d_year = 2002 and d_moy = 3 ) and i.i_current_price > 1.2 * ( select avg(j.i_current_price) from item as j where j.i_category = i.i_category ) group by a.ca_state having count(*) >= 10 order by cnt, state;) select * from _q; | tpcds |
Select Min(an.name) As acress_pseudonym, Min(t.title) As japanese_anime_movie From aka_name As an, cast_info As ci, company_name As cn, company_type As ct, keyword As k, movie_companies As mc, movie_keyword As mk, name As n, role_type As rt, title As t Where rt.role = 'actress' And k.keyword = 'anime' And mk.movie_id = ci.movie_id And ci.movie_id = mc.movie_id And ci.role_id = rt.id And k.id = mk.keyword_id And n.gender = 'f' And t.id = mc.movie_id And cn.id = mc.company_id And mk.movie_id = mc.movie_id And t.id = mk.movie_id And mc.note Not Like '%(USA)%' And ct.id = mc.company_type_id And mc.note Like '%(Japan)%' And t.id = ci.movie_id And cn.country_code = '[jp]' And n.id = ci.person_id And ci.note Like '%(voice: English version)%' And ci.person_id = an.person_id And an.person_id = n.id And t.production_year > 1990 | 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 '%Hemsworth%Chris%' and t.production_year > 2010 and k.keyword = 'marvel-cinematic-universe' and t.id = mk.movie_id and ci.movie_id = mk.movie_id and t.id = ci.movie_id and k.id = mk.keyword_id and n.id = ci.person_id | job |
SELECT ss_ticket_number, cnt, c_salutation, c_preferred_cust_flag, c_first_name, c_last_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE 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 IN (1999, 2000, 2003) AND s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa 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 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 rt.role = 'actress' AND t.production_year > 1990 AND k.keyword = 'anime' AND n.gender = 'f' AND cn.id = mc.company_id AND an.person_id = n.id AND ct.id = mc.company_type_id AND ci.person_id = an.person_id AND mk.movie_id = ci.movie_id AND mc.note NOT LIKE '%(USA)%' AND k.id = mk.keyword_id AND ci.role_id = rt.id AND cn.country_code = '[jp]' AND ci.note LIKE '%(voice: English version)%' AND mc.note LIKE '%(Japan)%' AND ci.movie_id = mc.movie_id AND n.id = ci.person_id AND t.id = ci.movie_id AND t.id = mc.movie_id AND mk.movie_id = mc.movie_id AND t.id = mk.movie_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 t.id = ml.movie_id AND it.info = 'release dates' AND ml.movie_id = mc.movie_id AND lt.link LIKE '%follow%' AND ml.movie_id = mk.movie_id AND mi.note LIKE '%internet%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mi.movie_id = t.id AND ml.movie_id = mi.movie_id AND it.id = mi.info_type_id AND k.id = mk.keyword_id AND ct.id = mc.company_type_id AND mk.movie_id = mc.movie_id AND cn.country_code = '[us]' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.note LIKE '%(USA)%' AND t.id = mc.movie_id AND mi.info LIKE 'USA:% 199%' AND t.id = mk.movie_id AND lt.id = ml.link_type_id AND t.production_year > 1950 AND cn.id = mc.company_id | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.production_year > 2005 AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND k.keyword LIKE '%sequel%' AND t.id = mk.movie_id AND k.id = mk.keyword_id | job |
SELECT i_item_desc, s_state, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, i_item_id, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, AVG(sr_return_quantity) AS store_returns_quantityave, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(ss_quantity) AS store_sales_quantitycount, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, 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 = '1999Q2' AND d2.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') AND d3.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') 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_shipdate < l_commitdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_commitdate < l_receiptdate AND l_receiptdate >= DATE 1 AND l_shipmode IN (1, 1) AND o_orderkey = l_orderkey GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, i_item_id, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, i_item_desc, s_state, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, AVG(cs_quantity) AS catalog_sales_quantityave, COUNT(cs_quantity) AS catalog_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 |
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