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SELECT COUNT(*) FROM comments AS c, postHistory AS ph, badges AS b, votes AS v, users AS u WHERE b.UserId = ph.UserId AND ph.UserId = v.UserId AND ph.PostHistoryTypeId = 12 AND v.UserId = c.UserId AND u.Id = b.UserId AND u.UpVotes = 0 LIMIT 20; | stats |
SELECT SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, l_shipmode FROM orders, lineitem WHERE l_shipdate < l_commitdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey AND l_commitdate < l_receiptdate AND l_shipmode IN (1, 1) GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT AVG(ss_quantity) AS store_sales_quantityave, COUNT(ss_quantity) AS store_sales_quantitycount, i_item_desc, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, i_item_id, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, s_state, AVG(sr_return_quantity) AS store_returns_quantityave, COUNT(cs_quantity) AS catalog_sales_quantitycount, COUNT(sr_return_quantity) AS store_returns_quantitycount, 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 d3.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') AND d1.d_quarter_name = '2000Q1' AND d2.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 c_last_name, cnt, ss_ticket_number, c_preferred_cust_flag, c_salutation, 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 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.56 AND d_year = ANY(ARRAY[2000, 2000, 2003]) AND s_county IN ('Williamson County', 'Washington County', 'Placer County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
SELECT 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_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 d_year = 2002 AND i_category = 'Home' AND i_category = 'Home' AND d_year = 2002 AND s_gmt_offset = -6 AND ca_gmt_offset = -6 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_moy = 5 ) AS all_sales ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT AVG(cs_coupon_amt) AS agg3, AVG(cs_sales_price) AS agg4, AVG(cs_quantity) AS agg1, i_item_id, AVG(cs_list_price) AS agg2 FROM catalog_sales JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk JOIN item ON cs_item_sk = i_item_sk JOIN promotion ON cs_promo_sk = p_promo_sk WHERE cd_education_status = 'Advanced Degree' AND cd_marital_status = 'W' AND d_year = 2000 AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'M' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
select count(*) from store_sales join household_demographics on ss_hdemo_sk = hd_demo_sk join time_dim on ss_sold_time_sk = t_time_sk join store on ss_store_sk = s_store_sk where s_store_name = 'ought' and t_hour = 16 and t_minute >= 43 and hd_dep_count = 4 order by count(*) desc 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 = mk.movie_id AND cn.id = mc.company_id AND t.id = mk.movie_id AND mc.movie_id = t.id AND cn.country_code ='[de]' AND mk.keyword_id = k.id AND k.keyword ='character-name-IN-title' | 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_commitdate < l_receiptdate And l_shipmode In (1, 1) And l_receiptdate < DATE 1 + INTERVAL '1' YEAR And o_orderkey = l_orderkey And l_shipdate < l_commitdate Group By l_shipmode Order By l_shipmode Limit 10; | tpch |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE n1.name NOT LIKE '%Yu%' AND ci.note = '(voice: English version)' AND n1.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND an1.person_id = ci.person_id AND mc.note NOT LIKE '%(USA)%' AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND cn.country_code = '[jp]' AND mc.note LIKE '%(Japan)%' AND mc.company_id = cn.id AND an1.person_id = n1.id AND n1.name LIKE '%Yo%' AND ci.role_id = rt.id | job |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE s_nationkey = n_nationkey AND l_suppkey = s_suppkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND c_custkey = o_custkey AND o_orderdate >= DATE 1 AND n_regionkey = r_regionkey AND c_nationkey = s_nationkey AND r_name = 1 AND l_orderkey = o_orderkey GROUP BY n_name ORDER BY revenue DESC | tpch |
Select Min(mi_idx.info) As rating, Min(t.title) As movie_title From info_type As it, movie_info_idx As mi_idx, title As t Where t.production_year Between 2000 And 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 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 = mc.movie_id AND mk.movie_id = mc.movie_id AND it.info = 'release dates' AND ml.movie_id = mc.movie_id AND cn.id = mc.company_id AND ml.movie_id = mi.movie_id AND ml.movie_id = mk.movie_id AND mc.note LIKE '%(USA)%' AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND k.id = mk.keyword_id AND mi.movie_id = t.id AND lt.link LIKE '%follow%' AND t.id = mk.movie_id AND mi.note LIKE '%internet%' AND t.id = ml.movie_id AND lt.id = ml.link_type_id AND t.production_year > 1950 AND mi.info LIKE 'USA:% 199%' AND k.keyword IN ('sequel', 'revenge', 'based-ON-novel') AND cn.country_code = '[us]' AND it.id = mi.info_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 mc.movie_id = t.id AND k.keyword ='character-name-in-title' AND cn.id = mc.company_id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND cn.country_code ='[nl]' | job |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE it2.info = 'release dates' AND mi.movie_id = miidx.movie_id AND cn.country_code = '[de]' AND ct.kind = 'production companies' AND mi.movie_id = t.id AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND miidx.movie_id = mc.movie_id AND it.info = 'rating' AND kt.id = t.kind_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND it2.id = mi.info_type_id AND ct.id = mc.company_type_id AND mc.movie_id = t.id AND kt.kind = 'movie' | job |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE s_suppkey = ps_suppkey AND n_regionkey = r_regionkey AND p_partkey = ps_partkey AND p_type LIKE 1 AND p_size = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND r_name = 1 AND s_nationkey = n_nationkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey 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 pl.LinkTypeId = 1 AND b.UserId = u.Id AND p.Id = pl.RelatedPostId AND p.Id = c.PostId AND p.Id = v.PostId AND p.Id = ph.PostId AND p.Score <= 40 AND c.UserId = u.Id | stats |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.name LIKE '%Hemsworth%Chris%' AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND t.id = ci.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id | job |
SELECT AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), AVG(ss_quantity), SUM(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ca_state IN ('TX', 'GA', 'NC') AND d_year = 2001 AND ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 77 AND 143) OR (cd_marital_status = 'M' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 99 AND 100) OR (cd_marital_status = 'W' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 134 AND 179) ) AND ( (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 s_market_id = 9 | 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 = mk.movie_id And t.id = mi.movie_id And mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') And k.id = mk.keyword_id And mk.movie_id = mi.movie_id And k.keyword Like '%sequel%' And t.production_year > 2005 | job |
SELECT SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_comment, c_custkey, c_name, c_address, c_acctbal, n_name, 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 ASC LIMIT 20 | tpch |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, badges as b where p.Id = pl.RelatedPostId AND p.Id = c.PostId AND p.Id = v.PostId AND b.UserId = c.UserId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 AND c.Score = 0 | stats |
select cust_nation, l_year, supp_nation, sum(volume) as revenue from ( select n1.n_name as supp_nation, n2.n_name as cust_nation, EXTRACT(YEAR from l_shipdate) as l_year, l_extendedprice * (1 - l_discount) as volume from supplier, lineitem, orders, customer, nation n1, nation n2 where s_suppkey = l_suppkey and o_orderkey = l_orderkey and c_custkey = o_custkey and s_nationkey = n1.n_nationkey and c_nationkey = n2.n_nationkey and ( (n1.n_name = 1 and n2.n_name = 1) or (n1.n_name = 1 and n2.n_name = 1) ) and l_shipdate between DATE '1995-01-01' and DATE '1996-12-31' ) as shipping group by supp_nation, cust_nation, l_year order by supp_nation, cust_nation, l_year | tpch |
SELECT STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, i_item_desc, COUNT(cs_quantity) AS catalog_sales_quantitycount, i_item_id, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, s_state, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, AVG(ss_quantity) AS store_sales_quantityave, COUNT(sr_return_quantity) AS store_returns_quantitycount, AVG(cs_quantity) AS catalog_sales_quantityave, 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 d2.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') AND d1.d_quarter_name = '2000Q1' 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 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 r_name = 1 AND n1.n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND s_suppkey = l_suppkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_partkey = l_partkey AND c_nationkey = n1.n_nationkey AND s_nationkey = n2.n_nationkey AND p_type = 1 ) AS all_nations AND o_custkey = c_custkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT MAX(mi_idx.info) AS rating, MAX(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 it1.id = mi_idx.info_type_id AND at.movie_id = mc.movie_id AND at.movie_id = mi.movie_id AND mi_idx.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND kt.kind = 'movie' AND t.id = mi_idx.movie_id AND it1.info = 'rating' AND kt.id = t.kind_id AND it2.id = mi.info_type_id AND cn.id = mc.company_id AND t.id = mi.movie_id AND it2.info = 'release dates' AND at.movie_id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND t.production_year > 2000 AND cn.country_code = '[us]' AND mi_idx.info < '3.5' AND at.title LIKE '%Champion%' AND mi.movie_id = mi_idx.movie_id AND t.id = at.movie_id AND t.id = mc.movie_id | job |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE kt.kind IN ('movie', 'episode') AND mk.movie_id = mi.movie_id AND cn.id = mc.company_id AND it1.info = 'countries' AND mc.note LIKE '%(200%)%' AND k.keyword = ANY(ARRAY['murder', 'murder-in-title', 'blood', 'violence']) AND t.id = mi.movie_id AND ct.id = mc.company_type_id AND mi_idx.info < '7.0' AND cn.country_code != '[us]' AND mc.note NOT LIKE '%(USA)%' AND kt.id = t.kind_id AND mk.movie_id = mc.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND it2.info = 'rating' AND it2.id = mi_idx.info_type_id AND mk.movie_id = mi_idx.movie_id AND it1.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND t.production_year > 2008 AND mc.movie_id = mi_idx.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') | job |
SELECT s_phone, n_name, s_address, p_mfgr, p_partkey, s_comment, s_acctbal, 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 d2.d_year = 2002 AND d1.d_moy BETWEEN 3 AND 7 AND d3.d_moy BETWEEN 3 AND 7 + 3 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 3 AND 7 + 3 AND d3.d_year = 2002 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_comment FROM customer, orders, lineitem, nation WHERE o_orderdate >= DATE 1 AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND c_nationkey = n_nationkey AND l_returnflag = 'R' AND o_orderdate < DATE 1 + INTERVAL '3' MONTH GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC; | tpch |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND d_year = ANY(ARRAY[2001, 2000, 2003]) AND d_dom BETWEEN 1 AND 2 AND hd_vehicle_count > 0 AND s_county IN ('Franklin County', 'Jefferson County', 'Oglethorpe 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 AVG(l_discount) AS avg_disc, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, l_returnflag, l_linestatus, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice) AS sum_base_price, AVG(l_quantity) AS avg_qty, SUM(l_quantity) AS sum_qty 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 ss_ticket_number, list_price, bought_city, c_first_name, ca_city, extended_price, c_last_name, extended_tax from ( select ss_ticket_number, ss_customer_sk, ca_city as bought_city, sum(ss_ext_sales_price) as extended_price, sum(ss_ext_list_price) as list_price, sum(ss_ext_tax) as extended_tax from store_sales join date_dim on ss_sold_date_sk = d_date_sk join store on ss_store_sk = s_store_sk join household_demographics on ss_hdemo_sk = hd_demo_sk join customer_address on ss_addr_sk = ca_address_sk where s_city in ('Clinton', 'Glendale') AND (hd_dep_count = 5 or hd_vehicle_count = 2) AND d_year in (2001, 2001, 2001) 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 ps_partkey, SUM(ps_supplycost * ps_availqty) AS VALUE FROM partsupp, supplier, nation WHERE s_nationkey = n_nationkey AND n_name = 1 AND ps_suppkey = s_suppkey 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 LIMIT 100; | tpch |
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 t.id = ci.movie_id AND k.id = mk.keyword_id AND n.id = ci.person_id AND n.name LIKE '%Downey%Robert%' AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 AND t.id = mk.movie_id | job |
SELECT c_custkey, c_address, c_acctbal, c_phone, n_name, c_comment, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_name 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 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 pl.LinkTypeId = 1 AND c.UserId = u.Id AND p.Id = ph.PostId AND p.Id = v.PostId AND p.Id = pl.RelatedPostId AND b.UserId = u.Id AND p.Score <= 40 | stats |
SELECT AVG(cs_list_price) AS agg2, AVG(cs_coupon_amt) AS agg3, AVG(cs_sales_price) AS agg4, AVG(cs_quantity) AS agg1, i_item_id FROM catalog_sales JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk JOIN item ON cs_item_sk = i_item_sk JOIN promotion ON cs_promo_sk = p_promo_sk WHERE (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_marital_status = 'S' AND cd_education_status = 'Advanced Degree' AND d_year = 2002 AND cd_gender = 'M' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.id = mk.keyword_id AND t.id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.keyword LIKE '%sequel%' AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND t.production_year > 2010 LIMIT 500; | job |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'bottom 10 rank' AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi.info_type_id AND t.id = mi.movie_id AND mc.movie_id = mi.movie_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 it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id AND ct.kind = 'production companies' AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, users AS u WHERE u.Id = p.OwnerUserId AND p.FavoriteCount >= 0 AND c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND c.UserId = u.Id AND p.CommentCount >= 0 AND p.ViewCount >= 0 | stats |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE it.info = 'bottom 10 rank' AND t.id = mc.movie_id AND it.id = mi.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND t.id = mi.movie_id AND mc.movie_id = mi.movie_id AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.production_year > 2010 AND t.id = mk.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mi.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND k.keyword LIKE '%sequel%' | job |
SELECT CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100, promotions, total 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_year = 2002 AND i_category = 'Jewelry' AND ca_gmt_offset = -6 AND d_moy = 12 ) AS all_sales 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 s_gmt_offset = -6 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND i_category = 'Jewelry' ORDER BY promotions, total LIMIT 100; | tpcds |
Select cc_call_center_id As call_center, cc_name As call_center_name, cc_manager As manager, Sum(cr_net_loss) As returns_loss From call_center INNER JOIN catalog_returns On cr_call_center_sk = cc_call_center_sk INNER JOIN date_dim On cr_returned_date_sk = d_date_sk INNER JOIN customer On cr_returning_customer_sk = c_customer_sk INNER JOIN customer_address On c_current_addr_sk = ca_address_sk INNER JOIN customer_demographics On cr_returning_cdemo_sk = cd_demo_sk INNER JOIN household_demographics On cr_returning_hdemo_sk = hd_demo_sk Where d_moy = 11 And ( (cd_marital_status = 'S' And cd_education_status = '4 yr Degree') Or (hd_buy_potential Like '501-1000%' And ca_gmt_offset = -5) ) And ca_gmt_offset = -5 And d_year = 2001 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(t.title) as marvel_movie, min(n.name) as actor_name, 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.id = mk.keyword_id and ci.movie_id = mk.movie_id and t.id = mk.movie_id and t.production_year > 2010 and n.id = ci.person_id and n.name like '%Downey%Robert%' and k.keyword = 'marvel-cinematic-universe' and t.id = ci.movie_id | job |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE p_type LIKE 1 AND p_partkey = ps_partkey AND p_size = 1 AND s_nationkey = n_nationkey 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 s_suppkey = ps_suppkey AND n_regionkey = r_regionkey AND r_name = 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE l_orderkey = o_orderkey AND r_name = 1 AND c_nationkey = s_nationkey AND c_custkey = o_custkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND l_suppkey = s_suppkey AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey GROUP BY n_name ORDER BY revenue ASC | tpch |
Select cntrycode, Count(*) 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 MIN(t.title) AS japanese_movie_dubbed, MIN(an1.name) AS actress_pseudonym FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE ci.role_id = rt.id AND n1.name NOT LIKE '%Yu%' AND ci.movie_id = mc.movie_id AND n1.id = ci.person_id AND t.id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND mc.note NOT LIKE '%(USA)%' AND ci.movie_id = t.id AND cn.country_code = '[jp]' AND rt.role = 'actress' AND ci.note = '(voice: English version)' AND n1.name LIKE '%Yo%' AND an1.person_id = ci.person_id AND an1.person_id = n1.id AND mc.company_id = cn.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 t.production_year > 2010 AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND n.name LIKE '%Downey%Robert%' AND k.id = mk.keyword_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND t.id = mk.movie_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, votes AS v WHERE p.Score >= -3 AND c.PostId = pl.PostId AND v.VoteTypeId = 2 AND p.Id = c.PostId AND c.CreationDate >= '2010-08-02 23:52:10'::timestamp AND pl.PostId = v.PostId | stats |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.id = mc.company_id AND it2.info = 'rating' AND mi_idx.info < '7.0' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mk.movie_id = mi.movie_id AND cn.country_code != '[us]' AND mc.note NOT LIKE '%(USA)%' AND it1.info = 'countries' AND it1.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND kt.id = t.kind_id AND mk.movie_id = mc.movie_id AND t.production_year > 2008 AND t.id = mc.movie_id AND k.id = mk.keyword_id AND mi.movie_id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mk.movie_id = mi_idx.movie_id AND kt.kind IN ('movie', 'episode') AND mc.note LIKE '%(200%)%' AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_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 it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND it.info = 'top 250 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
Select l_orderkey, Sum(l_extendedprice * (1 - l_discount)) As revenue, o_orderdate, o_shippriority From customer, orders, lineitem Where l_shipdate > DATE 1 And o_orderdate < DATE 1 And c_mktsegment = 1 And l_orderkey = o_orderkey And c_custkey = o_custkey Group By l_orderkey, o_orderdate, o_shippriority Order By revenue Desc, o_orderdate Limit 10 | 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 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 3 AND 7 AND d3.d_moy BETWEEN 3 AND 7 + 3 AND d2.d_year = 2002 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 3 AND 7 + 3 AND d3.d_year = 2002 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE n_name = 1 AND s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' AND l1.l_receiptdate > l1.l_commitdate AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND 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 o_orderkey = l1.l_orderkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | 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.id = ml.movie_id AND ml.movie_id = mc.movie_id AND mi.note LIKE '%internet%' AND mi.movie_id = t.id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND lt.link LIKE '%follow%' AND ml.movie_id = mi.movie_id AND cn.country_code = '[us]' AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND t.id = mk.movie_id AND mi.info LIKE 'USA:% 199%' AND it.info = 'release dates' AND cn.id = mc.company_id AND ml.movie_id = mk.movie_id AND it.id = mi.info_type_id AND k.keyword = ANY(ARRAY['sequel', 'revenge', 'based-on-novel']) AND ct.id = mc.company_type_id AND mc.note LIKE '%(USA)%' AND lt.id = ml.link_type_id AND t.id = mc.movie_id AND t.production_year > 1950 | job |
Select o_totalprice, Sum(l_quantity), o_orderkey, o_orderdate, c_custkey, c_name From customer, orders, lineitem Where o_orderkey In ( Select l_orderkey From lineitem Group By l_orderkey Having Sum(l_quantity) > 1 ) And c_custkey = o_custkey And o_orderkey = l_orderkey Group By c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice Order By o_totalprice Desc, o_orderdate Limit 100 | tpch |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE c_nationkey = n2.n_nationkey AND c_custkey = o_custkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_suppkey = l_suppkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND o_orderkey = l_orderkey AND s_nationkey = n1.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_extendedprice) AS avg_price, l_returnflag, AVG(l_discount) AS avg_disc, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_linestatus, SUM(l_quantity) AS sum_qty, COUNT(*) AS count_order, SUM(l_extendedprice) AS sum_base_price FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100, promotions FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -7 AND i_category = 'Music' 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 s_gmt_offset = -7 AND d_year = 1998 AND d_year = 1998 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 AND i_category = 'Music' ORDER BY promotions, total LIMIT 100; | tpcds |
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_moy = 5 ) AS all_sales 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 AND i_category = 'Home' AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND ca_gmt_offset = -6 AND d_year = 2002 AND i_category = 'Home' AND d_year = 2002 ORDER BY promotions, total LIMIT 100; | tpcds |
select avg(ss_quantity), avg(ss_ext_wholesale_cost), sum(ss_ext_wholesale_cost), avg(ss_ext_sales_price) 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 d_year = 2001 AND ( (cd_marital_status = 'S' and cd_education_status = '2 yr Degree' and ss_sales_price BETWEEN 90 AND 128) or (cd_marital_status = 'D' and cd_education_status = 'Primary' and ss_sales_price BETWEEN 81 AND 149) or (cd_marital_status = 'W' and cd_education_status = 'College' and ss_sales_price BETWEEN 138 AND 187) ) AND s_market_id = 8 AND ca_state in ('TX', 'GA', 'FL') AND ca_country = 'United States' AND ( (hd_dep_count = 2 and hd_vehicle_count <= 4) or (hd_dep_count = 4 and hd_vehicle_count <= 5) or (hd_dep_count = 5 and hd_vehicle_count <= 6) ) | 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 rt.role = 'actress' AND mi.movie_id = mc.movie_id AND t.production_year > 2000 AND n.gender = 'f' AND ci.person_id = an.person_id AND ci.role_id = rt.id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND it.info = 'release dates' AND t.id = ci.movie_id AND t.id = mi.movie_id AND cn.id = mc.company_id AND cn.country_code = '[us]' AND mc.note LIKE '%(USA)%' AND chn.id = ci.person_role_id AND t.id = mc.movie_id AND n.id = ci.person_id AND an.person_id = n.id AND it.id = mi.info_type_id AND mi.movie_id = ci.movie_id AND ci.movie_id = mc.movie_id | job |
SELECT MAX(cs_net_profit) AS catalog_sales_profit, s_store_id, MAX(sr_net_loss) AS store_returns_loss, i_item_id, MAX(ss_net_profit) AS store_sales_profit, i_item_desc, s_store_name FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 5 AND 4 AND d1.d_year = 2000 AND d2.d_moy BETWEEN 5 AND 4 + 3 AND d2.d_year = 2000 AND d3.d_moy BETWEEN 5 AND 4 + 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 AVG(ss_quantity), AVG(ss_ext_wholesale_cost), AVG(ss_ext_sales_price), SUM(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ca_country = 'United States' AND ca_state IN ('TX', 'GA', 'FL') AND d_year = 2001 AND ( (hd_dep_count = 2 AND hd_vehicle_count <= 4) OR (hd_dep_count = 4 AND hd_vehicle_count <= 5) OR (hd_dep_count = 5 AND hd_vehicle_count <= 6) ) AND s_market_id = 8 AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price BETWEEN 90 AND 128) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 81 AND 149) OR (cd_marital_status = 'W' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 138 AND 187) ) | tpcds |
SELECT MAX(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 cn.country_code ='[nl]' AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND cn.id = mc.company_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.movie_id = mi_idx.movie_id 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 t.id = mc.movie_id AND ct.kind = 'production companies' AND it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id | job |
SELECT CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100, promotions, total FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN promotion ON ss_promo_sk = p_promo_sk INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN customer ON ss_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = ca_address_sk INNER JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -6 AND d_moy = 12 ) AS all_sales AND i_category = 'Jewelry' AND d_moy = 12 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN customer ON ss_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = ca_address_sk INNER JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -6 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -6 AND i_category = 'Jewelry' AND d_year = 2002 AND s_gmt_offset = -6 AND d_year = 2002 ORDER BY promotions, total LIMIT 100; | 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 3 or d_dom between 25 and 28) 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) > 1.37 and s_county in ('Bronz County', 'Barrow County', 'Jackson County') and d_year in (2001, 2002, 2003) and hd_vehicle_count > 0 group by ss_ticket_number, ss_customer_sk ) as dn join customer on ss_customer_sk = c_customer_sk where cnt between 15 and 20 order by c_last_name, c_first_name, c_salutation, cnt desc limit 100; | tpcds |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword LIKE '%sequel%' AND k.id = mk.keyword_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND mk.movie_id = mi.movie_id AND t.production_year > 2005 AND t.id = mk.movie_id AND t.id = mi.movie_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 mc.note LIKE '%(Japan)%' AND n.gender = 'f' AND an.person_id = n.id AND k.keyword = 'anime' AND cn.id = mc.company_id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND n.id = ci.person_id AND mc.note NOT LIKE '%(USA)%' AND ci.role_id = rt.id AND t.production_year > 1990 AND k.id = mk.keyword_id AND ci.note LIKE '%(voice: English version)%' AND mk.movie_id = ci.movie_id AND cn.country_code = '[jp]' AND ct.id = mc.company_type_id AND ci.person_id = an.person_id AND mk.movie_id = mc.movie_id AND t.id = mk.movie_id AND rt.role = 'actress' AND t.id = ci.movie_id | job |
Select i_manufact, i_brand As brand, i_manufact_id, i_brand_id As brand_id, Sum(ss_ext_sales_price) As ext_price From date_dim Join store_sales On d_date_sk = ss_sold_date_sk Join item On ss_item_sk = i_item_sk Join customer On ss_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join store On ss_store_sk = s_store_sk Where d_moy = 11 And d_year = 1999 And i_manager_id = 73 And substr(ca_zip, 1, 5) != substr(s_zip, 1, 5) Group By i_brand, i_brand_id, i_manufact_id, i_manufact Order By ext_price Desc, brand, brand_id, i_manufact_id, i_manufact Limit 100; | tpcds |
SELECT STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, AVG(ss_quantity) AS store_sales_quantityave, s_state, i_item_desc, COUNT(sr_return_quantity) AS store_returns_quantitycount, i_item_id, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov FROM store_sales INNER JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number INNER JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk INNER JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk INNER JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk INNER JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN item ON ss_item_sk = i_item_sk WHERE d2.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') AND d1.d_quarter_name = '1999Q1' 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 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 chn.id = ci.person_role_id AND cn.country_code = '[ru]' AND ci.note LIKE '%(voice)%' AND rt.id = ci.role_id AND t.production_year > 2005 AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND t.id = ci.movie_id AND ci.note LIKE '%(uncredited)%' AND rt.role = 'actor' | 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 mk.keyword_id = k.id AND t.id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.id AND mc.movie_id = mk.movie_id AND k.keyword ='character-name-in-title' AND cn.country_code ='[de]' | job |
SELECT c_last_name, c_first_name, c_preferred_cust_flag, cnt, ss_ticket_number, c_salutation FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.85 AND d_year IN (2001, 2000, 2002) AND s_county IN ('Williamson County', 'Barrow County', 'Placer County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt ASC LIMIT 100; | tpcds |
SELECT p_mfgr, s_phone, n_name, p_partkey, s_comment, s_acctbal, s_name, s_address 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 MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.id = mk.keyword_id AND t.id = mi.movie_id AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German']) AND mk.movie_id = mi.movie_id AND k.keyword LIKE '%sequel%' AND t.id = mk.movie_id AND t.production_year > 2000 | job |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_moy = 8 ) AS all_sales AND d_year = 1998 AND i_category = 'Music' AND s_gmt_offset = -7 AND s_gmt_offset = -7 AND ca_gmt_offset = -7 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 i_category = 'Music' AND d_year = 1998 ORDER BY promotions, total 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 s_nationkey = n_nationkey AND ps_suppkey = l_suppkey AND p_partkey = l_partkey AND o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND ps_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT AVG(cs_sales_price) AS agg4, i_item_id, AVG(cs_coupon_amt) AS agg3, AVG(cs_list_price) AS agg2, AVG(cs_quantity) AS agg1 FROM catalog_sales JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk JOIN item ON cs_item_sk = i_item_sk JOIN promotion ON cs_promo_sk = p_promo_sk WHERE cd_gender = 'M' AND cd_education_status = '2 yr Degree' AND d_year = 1999 AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_marital_status = 'S' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT o_totalprice, c_custkey, o_orderdate, o_orderkey, SUM(l_quantity), c_name FROM customer, orders, lineitem WHERE o_orderkey IN ( SELECT l_orderkey FROM lineitem GROUP BY l_orderkey HAVING SUM(l_quantity) > 1 ) AND c_custkey = o_custkey AND o_orderkey = l_orderkey GROUP BY c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice ORDER BY o_totalprice DESC, o_orderdate LIMIT 100 | tpch |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE p_type = 1 ) AS all_nations AND s_suppkey = l_suppkey AND l_orderkey = o_orderkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND n1.n_regionkey = r_regionkey AND p_partkey = l_partkey AND c_nationkey = n1.n_nationkey AND r_name = 1 AND s_nationkey = n2.n_nationkey AND o_custkey = c_custkey GROUP BY o_year ORDER BY o_year | 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 an.person_id = ci.person_id And n.name_pcode_cf Between 'A' And 'F' And lt.id = ml.link_type_id And ml.linked_movie_id = t.id And t.id = ci.movie_id And n.id = an.person_id And n.id = pi.person_id And t.production_year Between 1980 And 1995 And lt.link = 'features' And ci.person_id = n.id And it.info = 'mini biography' And ci.movie_id = ml.linked_movie_id And pi.person_id = ci.person_id And pi.person_id = an.person_id And an.name Like '%a%' And pi.note = 'Volker Boehm' And it.id = pi.info_type_id And (n.gender = 'm' Or (n.gender = 'f' And n.name Like 'B%')) | job |
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 d3.d_year = 2002 AND d2.d_year = 2002 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d1.d_moy BETWEEN 2 AND 8 AND d1.d_year = 2002 AND d3.d_moy <= 8 + 3 AND d3.d_moy >= 2 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(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 ci.note LIKE '%(voice: English version)%' AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND t.production_year > 1990 AND mk.movie_id = mc.movie_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND ci.person_id = an.person_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND k.id = mk.keyword_id AND n.gender = 'f' AND mk.movie_id = ci.movie_id AND cn.country_code = '[jp]' AND k.keyword = 'anime' AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(Japan)%' AND rt.role = 'actress' AND ci.role_id = rt.id AND an.person_id = n.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 k.id = mk.keyword_id AND rt.role = 'actress' AND n.gender = 'f' AND n.id = ci.person_id AND mk.movie_id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND ci.role_id = rt.id AND ct.id = mc.company_type_id AND cn.country_code = '[jp]' AND t.production_year > 1990 AND t.id = mk.movie_id AND k.keyword = 'anime' AND t.id = mc.movie_id AND cn.id = mc.company_id AND an.person_id = n.id AND ci.note LIKE '%(voice: English version)%' AND ci.person_id = an.person_id AND t.id = ci.movie_id AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = ci.movie_id | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = mk.movie_id AND cn.country_code ='[nl]' AND cn.id = mc.company_id AND k.keyword ='character-name-in-title' AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id | job |
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 2 AND 8 + 3 AND d3.d_year = 2002 AND d3.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2002 AND d1.d_moy BETWEEN 2 AND 8 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 MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND it.info = 'bottom 10 rank' AND t.id = mi.movie_id AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi.info_type_id | job |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE ps_suppkey = l_suppkey AND s_nationkey = n_nationkey AND o_orderkey = l_orderkey AND p_name LIKE 1 ) AS profit AND ps_partkey = l_partkey AND s_suppkey = l_suppkey AND p_partkey = l_partkey 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 n.name LIKE '%Hemsworth%Chris%' AND k.keyword = 'marvel-cinematic-universe' AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND t.id = ci.movie_id AND t.production_year > 2010 AND n.id = ci.person_id AND t.id = mk.movie_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 t.id = mk.movie_id AND n.id = ci.person_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND k.id = mk.keyword_id AND t.production_year > 2010 | job |
select i_item_desc, i_item_id, i_current_price from item join inventory on i_item_sk = inv_item_sk join date_dim on d_date_sk = inv_date_sk join store_sales on ss_item_sk = i_item_sk where i_current_price BETWEEN 91 AND 91 + 30 AND d_date BETWEEN CAST('2002-01-23' as DATE) AND (CAST('2002-01-23' as DATE) + INTERVAL '60 days') AND inv_quantity_on_hand BETWEEN 100 AND 500 AND i_manufact_id in (438, 38, 405, 276) group by i_item_id, i_item_desc, i_current_price order by i_item_id; | tpcds |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, SUM(sr_return_quantity) AS store_returns_quantity, SUM(ss_quantity) AS store_sales_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 d2.d_moy BETWEEN 3 AND 3 + 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 3 AND 3 + 3 AND d1.d_moy = 3 AND d1.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(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 chn.id = ci.person_role_id AND t.id = ci.movie_id AND ci.note LIKE '%(voice)%' AND ci.note LIKE '%(uncredited)%' AND cn.country_code = '[ru]' AND t.production_year > 2005 AND rt.role = 'actor' AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND rt.id = ci.role_id LIMIT 20; | 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_returnflag = 'R' and o_orderdate >= DATE 1 and c_nationkey = n_nationkey and c_custkey = o_custkey and o_orderdate < DATE 1 + INTERVAL '3' MONTH and l_orderkey = o_orderkey group by c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment order by revenue desc limit 20 | tpch |
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