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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.id = mk.keyword_id AND t.production_year > 2010 AND t.id = ci.movie_id AND t.id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND n.id = ci.person_id AND n.name LIKE '%Hemsworth%Chris%' AND ci.movie_id = mk.movie_id | job |
select l_shipmode, sum( case when o_orderpriority = '1-URGENT' or o_orderpriority = '2-HIGH' then 1 else 0 end ) as high_line_count, sum( case when o_orderpriority != '1-URGENT' and o_orderpriority != '2-HIGH' then 1 else 0 end ) as low_line_count from orders, lineitem where o_orderkey = l_orderkey and l_shipmode in (1, 1) and l_commitdate < l_receiptdate and l_shipdate < l_commitdate and l_receiptdate >= DATE 1 and l_receiptdate < DATE 1 + INTERVAL '1' YEAR group by l_shipmode order by l_shipmode limit 20; | tpch |
SELECT w_state, SUM(CASE WHEN (CAST(d_date AS DATE) < CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_before, SUM(CASE WHEN (CAST(d_date AS DATE) >= CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_after, i_item_id FROM catalog_sales LEFT OUTER JOIN catalog_returns ON cs_order_number = cr_order_number AND cs_item_sk = cr_item_sk JOIN warehouse ON cs_warehouse_sk = w_warehouse_sk JOIN item ON i_item_sk = cs_item_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk WHERE i_current_price BETWEEN 68.67 AND 68.67 + 1.49 AND d_date BETWEEN (CAST('2000-03-11' AS DATE) - INTERVAL '30 days') AND (CAST('2000-03-11' AS DATE) + INTERVAL '30 days') GROUP BY w_state, i_item_id ORDER BY w_state, i_item_id LIMIT 100; | tpcds |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE ci.movie_id = t.id AND an.person_id = n.id AND n.id = ci.person_id AND t.episode_nr >= 50 AND mk.keyword_id = k.id AND ci.movie_id = mc.movie_id AND an.person_id = ci.person_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id AND k.keyword = 'character-name-in-title' AND t.id = mk.movie_id AND mc.company_id = cn.id AND t.episode_nr < 100 AND cn.country_code = '[us]' AND t.id = mc.movie_id | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE o_orderkey = l1.l_orderkey AND n_name = 1 AND l1.l_receiptdate > l1.l_commitdate AND s_nationkey = n_nationkey AND 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 o_orderstatus = 'F' AND s_suppkey = l1.l_suppkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share, o_year FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE s_nationkey = n2.n_nationkey AND n1.n_regionkey = r_regionkey AND c_nationkey = n1.n_nationkey AND l_orderkey = o_orderkey AND p_partkey = l_partkey AND p_type = 1 ) AS all_nations AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND o_custkey = c_custkey AND s_suppkey = l_suppkey AND r_name = 1 GROUP BY o_year ORDER BY o_year | tpch |
WITH year_total AS ( SELECT c_last_name AS customer_last_name, c_login AS customer_login, c_preferred_cust_flag AS customer_preferred_cust_flag, 's' AS sale_type, c_birth_country AS customer_birth_country, c_customer_id AS customer_id, d_year AS dyear, c_email_address AS customer_email_address, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_first_name AS customer_first_name FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
select l_orderkey, sum(l_extendedprice * (1 - l_discount)) as revenue, o_orderdate, o_shippriority from customer, orders, lineitem where c_mktsegment = 1 and o_orderdate < DATE 1 and l_orderkey = o_orderkey and c_custkey = o_custkey and l_shipdate > DATE 1 group by l_orderkey, o_orderdate, o_shippriority order by revenue desc, o_orderdate limit 10 | tpch |
select avg(cs_list_price) as agg2, i_item_id, avg(cs_sales_price) as agg4, avg(cs_coupon_amt) as agg3, avg(cs_quantity) as agg1 from catalog_sales inner join customer_demographics on cs_bill_cdemo_sk = cd_demo_sk inner join date_dim on cs_sold_date_sk = d_date_sk inner join item on cs_item_sk = i_item_sk inner join promotion on cs_promo_sk = p_promo_sk where cd_gender = 'M' and cd_marital_status = 'S' and cd_education_status = 'Advanced 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; | tpcds |
SELECT SUM(CASE WHEN (CAST(d_date AS DATE) >= CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_after, SUM(CASE WHEN (CAST(d_date AS DATE) < CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_before, i_item_id, w_state FROM catalog_sales LEFT INNER JOIN catalog_returns ON cs_order_number = cr_order_number AND cs_item_sk = cr_item_sk INNER JOIN warehouse ON cs_warehouse_sk = w_warehouse_sk INNER JOIN item ON i_item_sk = cs_item_sk INNER JOIN date_dim ON cs_sold_date_sk = d_date_sk WHERE d_date BETWEEN (CAST('2000-03-11' AS DATE) - INTERVAL '30 days') AND (CAST('2000-03-11' AS DATE) + INTERVAL '30 days') AND i_current_price BETWEEN 74.26 AND 74.26 + 1.49 GROUP BY w_state, i_item_id ORDER BY w_state, i_item_id LIMIT 100; | tpcds |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE mk.movie_id = mc.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mi.movie_id = mc.movie_id AND cn.country_code != '[us]' AND t.id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND cn.id = mc.company_id AND it1.id = mi.info_type_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it2.info = 'rating' AND t.id = mi.movie_id AND t.production_year > 2008 AND t.id = mk.movie_id AND mc.movie_id = mi_idx.movie_id AND it1.info = 'countries' AND ct.id = mc.company_type_id AND mk.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND mc.note LIKE '%(200%)%' AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND it2.id = mi_idx.info_type_id AND mi_idx.info < '7.0' AND mc.note NOT LIKE '%(USA)%' AND kt.kind IN ('movie', 'episode') AND k.id = mk.keyword_id | job |
Select Min(mi.info) As release_date, Min(miidx.info) As rating, Min(t.title) As german_movie From company_name As cn, company_type As ct, info_type As it, info_type As it2, kind_type As kt, movie_companies As mc, movie_info As mi, movie_info_idx As miidx, title As t Where mi.movie_id = mc.movie_id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND it2.id = mi.info_type_id AND cn.id = mc.company_id AND it2.info = 'release dates' AND miidx.movie_id = t.id AND miidx.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND mc.movie_id = t.id AND kt.id = t.kind_id AND mi.movie_id = t.id AND cn.country_code = '[de]' AND ct.kind = 'production companies' AND kt.kind = 'movie' AND it.info = 'rating' | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND o_orderstatus = 'F' AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND 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 s_suppkey = l1.l_suppkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT o_year, nation, 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 p_name LIKE 1 ) AS profit AND ps_partkey = l_partkey AND s_suppkey = l_suppkey AND s_nationkey = n_nationkey AND ps_suppkey = l_suppkey AND p_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | 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 mk.keyword_id = k.id AND mc.movie_id = t.id AND k.keyword ='character-name-In-title' AND t.id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = mk.movie_id AND cn.country_code ='[sm]' | job |
select c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt from ( select ss_ticket_number, ss_customer_sk, COUNT(1) as cnt from store_sales join date_dim on ss_sold_date_sk = d_date_sk join store on ss_store_sk = s_store_sk join household_demographics on ss_hdemo_sk = hd_demo_sk where (case when hd_vehicle_count > 0 then hd_dep_count / hd_vehicle_count else NULL end) > 1.85 AND (d_dom BETWEEN 1 AND 3 or d_dom BETWEEN 25 AND 28) AND hd_vehicle_count > 0 AND d_year in (2001, 2000, 2002) AND s_county in ('Williamson County', 'Barrow County', 'Placer County') AND (hd_buy_potential = '>10000' or hd_buy_potential = 'Unknown') 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 cc_name AS call_center_name, cc_manager AS manager, cc_call_center_id AS call_center, SUM(cr_net_loss) AS returns_loss FROM call_center JOIN catalog_returns ON cr_call_center_sk = cc_call_center_sk JOIN date_dim ON cr_returned_date_sk = d_date_sk JOIN customer ON cr_returning_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN customer_demographics ON cr_returning_cdemo_sk = cd_demo_sk JOIN household_demographics ON cr_returning_hdemo_sk = hd_demo_sk WHERE ca_gmt_offset = -5 AND d_year = 1999 AND ( (cd_marital_status = 'S' AND cd_education_status = 'Advanced Degree') OR (hd_buy_potential LIKE '0-500%' AND ca_gmt_offset = -5) ) AND d_moy = 11 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 c_address, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_custkey, n_name, c_acctbal, c_phone, c_comment, 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 Avg(sr_return_quantity) As store_returns_quantityave, STDDEV_SAMP(cs_quantity) / Avg(cs_quantity) As catalog_sales_quantitycov, Count(ss_quantity) As store_sales_quantitycount, s_state, Count(cs_quantity) As catalog_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) As store_returns_quantitystdev, i_item_desc, i_item_id, STDDEV_SAMP(sr_return_quantity) / Avg(sr_return_quantity) As store_returns_quantitycov, Avg(ss_quantity) As store_sales_quantityave, Avg(cs_quantity) As catalog_sales_quantityave, STDDEV_SAMP(ss_quantity) / Avg(ss_quantity) As store_sales_quantitycov, Count(sr_return_quantity) As store_returns_quantitycount, STDDEV_SAMP(ss_quantity) As store_sales_quantitystdev 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 o_orderdate, l_orderkey, o_shippriority, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem WHERE c_mktsegment = 1 AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 AND l_shipdate > DATE 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | tpch |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE c.Score = 0 AND p.Id = v.PostId AND p.FavoriteCount >= 0 AND p.Id = c.PostId AND p.Id = pl.PostId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 ) SELECT * FROM _q LIMIT 200; | stats |
Select Avg(ss_quantity), Avg(ss_ext_sales_price), Avg(ss_ext_wholesale_cost), Sum(ss_ext_wholesale_cost) From store_sales Join store On s_store_sk = ss_store_sk Join customer_demographics On cd_demo_sk = ss_cdemo_sk Join household_demographics On hd_demo_sk = ss_hdemo_sk Join customer_address On ca_address_sk = ss_addr_sk Join date_dim On d_date_sk = ss_sold_date_sk Where ( (cd_marital_status = '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) ) And d_year = 2001 | tpcds |
SELECT MIN(k.keyword) AS movie_keyword, MIN(t.title) AS marvel_movie, MIN(n.name) AS actor_name FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND n.name LIKE '%Hemsworth%Chris%' AND t.id = ci.movie_id AND k.id = mk.keyword_id | job |
SELECT MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie, MIN(k.keyword) AS movie_keyword FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND k.id = mk.keyword_id AND n.id = ci.person_id AND n.name LIKE '%Downey%Robert%' AND t.id = ci.movie_id | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE t.id = mi.movie_id AND t.production_year > 2000 AND it1.id = mi_idx.info_type_id AND mi.movie_id = mi_idx.movie_id AND it1.info = 'rating' AND mi_idx.info < '3.5' AND at.movie_id = mi.movie_id AND cn.id = mc.company_id AND mi.info LIKE 'USA:%200%' AND mi_idx.movie_id = mc.movie_id AND kt.kind = 'movie' AND it2.info = 'release dates' AND t.id = mi_idx.movie_id AND at.title LIKE '%Champion%' AND t.id = at.movie_id AND it2.id = mi.info_type_id AND t.id = mc.movie_id AND at.movie_id = mc.movie_id AND cn.country_code = '[us]' AND at.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND kt.id = t.kind_id | job |
Select l_returnflag, l_linestatus, Sum(l_quantity) As sum_qty, Sum(l_extendedprice) As sum_base_price, Sum(l_extendedprice * (1 - l_discount)) As sum_disc_price, Sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) As sum_charge, Avg(l_quantity) As avg_qty, Avg(l_extendedprice) As avg_price, Avg(l_discount) As avg_disc, Count(*) As count_order From lineitem Where l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY Group By l_returnflag, l_linestatus Order By l_returnflag, l_linestatus Limit 500; | 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 n.name Like '%Hemsworth%Chris%' And k.id = mk.keyword_id And ci.movie_id = mk.movie_id And t.id = mk.movie_id And t.production_year > 2010 And k.keyword = 'marvel-cinematic-universe' And n.id = ci.person_id | job |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE s_nationkey = n1.n_nationkey 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 c_nationkey = n2.n_nationkey AND o_orderkey = l_orderkey AND c_custkey = o_custkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
select sum(l_extendedprice * l_discount) as revenue from lineitem where l_shipdate >= DATE 1 AND l_discount BETWEEN 1 - 0.01 AND 1 + 0.01 AND l_quantity < 1 AND l_shipdate < DATE 1 + INTERVAL '1' 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 pi.person_id = an.person_id AND n.id = an.person_id AND ml.linked_movie_id = t.id AND t.id = ci.movie_id AND t.production_year BETWEEN 1980 AND 1995 AND it.info = 'mini biography' AND it.id = pi.info_type_id AND n.id = pi.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND ci.person_id = n.id AND pi.person_id = ci.person_id AND lt.id = ml.link_type_id AND ci.movie_id = ml.linked_movie_id AND lt.link = 'features' AND pi.note = 'Volker Boehm' AND an.name LIKE '%a%' AND n.name_pcode_cf BETWEEN 'A' AND 'F' | 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 mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND it.id = mi.info_type_id AND t.id = mi.movie_id AND it.info = 'bottom 10 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id | job |
SELECT AVG(l_discount) AS avg_disc, AVG(l_extendedprice) AS avg_price, l_returnflag, l_linestatus, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, 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 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 sum(case when (CAST(d_date as DATE) < CAST('2000-03-11' as DATE)) then cs_sales_price - COALESCE(cr_refunded_cash, 0) else 0 end) as sales_before, sum(case when (CAST(d_date as DATE) >= CAST('2000-03-11' as DATE)) then cs_sales_price - COALESCE(cr_refunded_cash, 0) else 0 end) as sales_after, w_state, i_item_id from catalog_sales left outer join catalog_returns on cs_order_number = cr_order_number and cs_item_sk = cr_item_sk join warehouse on cs_warehouse_sk = w_warehouse_sk join item on i_item_sk = cs_item_sk join date_dim on cs_sold_date_sk = d_date_sk where i_current_price between 68.67 and 68.67 + 1.49 and d_date between (CAST('2000-03-11' as DATE) - INTERVAL '30 days') and (CAST('2000-03-11' as DATE) + INTERVAL '30 days') group by w_state, i_item_id order by w_state, i_item_id 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 cn.id = mc.company_id AND an.person_id = n.id AND n.gender = 'f' AND t.id = mc.movie_id AND mk.movie_id = ci.movie_id AND k.keyword = 'anime' AND mc.note NOT LIKE '%(USA)%' AND cn.country_code = '[jp]' AND ci.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND ci.role_id = rt.id AND ci.person_id = an.person_id AND t.production_year > 1990 AND rt.role = 'actress' AND ct.id = mc.company_type_id AND mc.note LIKE '%(Japan)%' AND ci.note LIKE '%(voice: English version)%' AND k.id = mk.keyword_id AND t.id = ci.movie_id AND t.id = mk.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 t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'top 250 rank' AND ct.kind = 'production companies' AND ct.id = mc.company_type_id | job |
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 s_market_id = 4 AND d_year = 1999 AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price BETWEEN 83 AND 135) OR (cd_marital_status = 'S' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 84 AND 125) OR (cd_marital_status = 'D' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 126 AND 196) ) AND ( (hd_dep_count = 0 AND hd_vehicle_count <= 1) OR (hd_dep_count = 3 AND hd_vehicle_count <= 4) OR (hd_dep_count = 6 AND hd_vehicle_count <= 4) ) AND ca_country = 'United States' AND ca_state = ANY(ARRAY['TX', 'WA', 'FL']); | tpcds |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE t.id = ci.movie_id AND it.id = pi.info_type_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.person_id = an.person_id AND n.id = an.person_id AND an.person_id = ci.person_id AND pi.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id AND it.info = 'mini biography' AND ml.linked_movie_id = t.id AND lt.link = 'features' AND an.name LIKE '%a%' AND lt.id = ml.link_type_id AND ci.person_id = n.id AND pi.note = 'Volker Boehm' AND n.id = pi.person_id AND t.production_year BETWEEN 1980 AND 1995 | 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 = ci.movie_id AND ci.person_id = an.person_id AND an.person_id = n.id AND ct.id = mc.company_type_id AND n.gender = 'f' AND t.production_year > 1990 AND t.id = mc.movie_id AND n.id = ci.person_id AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND k.id = mk.keyword_id AND ci.role_id = rt.id AND mk.movie_id = ci.movie_id AND rt.role = 'actress' AND cn.id = mc.company_id AND mc.note NOT LIKE '%(USA)%' AND k.keyword = 'anime' AND ci.note LIKE '%(voice: English version)%' AND mc.note LIKE '%(Japan)%' AND cn.country_code = '[jp]' AND ci.movie_id = mc.movie_id | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi.movie_id AND t.production_year > 2005 AND k.keyword LIKE '%sequel%' AND k.id = mk.keyword_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') | 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 t.id = mc.movie_id AND kt.kind = 'movie' AND t.id = mi_idx.movie_id AND cn.country_code = '[us]' AND mi.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi_idx.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND mi.info LIKE 'USA:%200%' AND it2.info = 'release dates' AND cn.id = mc.company_id AND at.movie_id = mi_idx.movie_id AND mi_idx.info < '3.5' AND t.production_year > 2000 AND it1.info = 'rating' AND t.id = mi.movie_id AND kt.id = t.kind_id AND at.title LIKE '%Champion%' AND at.movie_id = mi.movie_id AND it1.id = mi_idx.info_type_id AND at.movie_id = mc.movie_id AND t.id = at.movie_id | job |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE mi.movie_id = mc.movie_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND kt.kind = 'movie' AND miidx.movie_id = mc.movie_id AND it2.info = 'release dates' AND it2.id = mi.info_type_id AND ct.kind = 'production companies' AND cn.id = mc.company_id AND mi.movie_id = t.id AND mi.movie_id = miidx.movie_id AND ct.id = mc.company_type_id AND it.id = miidx.info_type_id AND cn.country_code = '[de]' AND miidx.movie_id = t.id AND it.info = 'rating' | 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_commitdate < l_receiptdate AND l_shipmode = ANY(ARRAY[1, 1]) AND l_shipdate < l_commitdate AND l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR group by l_shipmode order by l_shipmode | tpch |
with _q as ( select 100.00 * sum( case when p_type like 'PROMO%' then l_extendedprice * (1 - l_discount) else 0 end ) / sum(l_extendedprice * (1 - l_discount)) as promo_revenue from lineitem, part where l_partkey = p_partkey and l_shipdate >= DATE 1 and l_shipdate < DATE 1 + INTERVAL '1' MONTH ) select * from _q | tpch |
SELECT AVG(cs_sales_price) AS agg4, AVG(cs_quantity) AS agg1, AVG(cs_list_price) AS agg2, AVG(cs_coupon_amt) AS agg3, 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 cd_education_status = '4 yr Degree' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_marital_status = 'S' AND d_year = 2000 AND cd_gender = 'M' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
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 at.movie_id = mi_idx.movie_id AND at.movie_id = mc.movie_id AND t.id = mi.movie_id AND it2.info = 'release dates' AND mi_idx.movie_id = mc.movie_id AND t.production_year > 2000 AND at.title LIKE '%Champion%' AND it1.id = mi_idx.info_type_id AND mi_idx.info < '3.5' AND cn.country_code = '[us]' AND t.id = at.movie_id AND cn.id = mc.company_id AND t.id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND at.movie_id = mi.movie_id AND it1.info = 'rating' AND kt.id = t.kind_id AND t.id = mc.movie_id AND mi.movie_id = mc.movie_id AND kt.kind = 'movie' AND it2.id = mi.info_type_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 t.production_year > 2010 AND mk.movie_id = mi.movie_id AND k.keyword Like '%sequel%' 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 | job |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE ps_partkey = l_partkey AND ps_suppkey = l_suppkey AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey AND s_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND p_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND s_suppkey = l1.l_suppkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND 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_orderstatus = 'F' AND o_orderkey = l1.l_orderkey AND n_name = 1 GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT s_store_name, s_store_id, i_item_id, MIN(sr_net_loss) AS store_returns_loss, i_item_desc, MIN(cs_net_profit) AS catalog_sales_profit, MIN(ss_net_profit) AS store_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_moy BETWEEN 2 AND 8 AND d1.d_year = 2001 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 2 AND 8 + 3 AND d3.d_year = 2001 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND o_orderkey = l_orderkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_nationkey = n1.n_nationkey AND c_nationkey = n2.n_nationkey AND c_custkey = o_custkey AND s_suppkey = l_suppkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year LIMIT 20; | tpch |
select l_shipmode, sum( case when o_orderpriority = '1-URGENT' or o_orderpriority = '2-HIGH' then 1 else 0 end ) as high_line_count, sum( case when o_orderpriority <> '1-URGENT' and o_orderpriority <> '2-HIGH' then 1 else 0 end ) as low_line_count from orders, lineitem where o_orderkey = l_orderkey and l_shipmode = ANY(ARRAY[1, 1]) and l_commitdate < l_receiptdate and l_shipdate < l_commitdate and l_receiptdate >= DATE 1 and l_receiptdate < DATE 1 + INTERVAL '1' YEAR group by l_shipmode order by l_shipmode | tpch |
SELECT COUNT(*) FROM comments AS c, postHistory AS ph, badges AS b, votes AS v, users AS u WHERE v.UserId = c.UserId AND ph.PostHistoryTypeId = 12 AND ph.UserId = v.UserId AND u.UpVotes = 0 AND b.UserId = ph.UserId AND u.Id = b.UserId | stats |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = v.PostId AND c.Score = 0 AND p.Id = ph.PostId AND p.Id = c.PostId AND p.Id = pl.PostId AND pl.LinkTypeId = 1 AND p.FavoriteCount >= 0 | stats |
Select Avg(ss_ext_sales_price), Avg(ss_quantity), Sum(ss_ext_wholesale_cost), Avg(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 ( (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 ( (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 d_year = 2001 AND ca_state In ('TX', 'GA', 'NC') AND s_market_id = 9 | tpcds |
SELECT cc_name AS call_center_name, cc_manager AS manager, cc_call_center_id AS call_center, 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 ( (cd_marital_status = 'M' AND cd_education_status = '4 yr Degree') OR (hd_buy_potential LIKE '1001-5000%' AND ca_gmt_offset = -7) ) AND d_year = 1999 AND d_moy = 11 AND ca_gmt_offset = -7 GROUP BY cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status ORDER BY returns_loss DESC LIMIT 100; | tpcds |
SELECT 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, AVG(ss_quantity) AS store_sales_quantityave, COUNT(cs_quantity) AS catalog_sales_quantitycount, s_state, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, AVG(cs_quantity) AS catalog_sales_quantityave, i_item_id FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON 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(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 k.id = mk.keyword_id AND n.name LIKE '%Downey%Robert%' AND 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 n.id = ci.person_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = c.PostId AND p.Id = pl.PostId AND p.Id = v.PostId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 AND p.FavoriteCount >= 0 AND c.Score = 0 | stats |
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.kind = 'movie' AND mi_idx.info < '3.5' AND mi.movie_id = mc.movie_id AND at.movie_id = mi.movie_id AND cn.country_code = '[us]' AND t.id = mi_idx.movie_id AND it1.info = 'rating' AND t.production_year > 2000 AND at.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND mi.movie_id = mi_idx.movie_id AND at.movie_id = mc.movie_id AND t.id = at.movie_id AND it1.id = mi_idx.info_type_id AND mi.info LIKE 'USA:%200%' AND mi_idx.movie_id = mc.movie_id AND cn.id = mc.company_id AND at.title LIKE '%Champion%' AND it2.id = mi.info_type_id AND it2.info = 'release dates' AND t.id = mc.movie_id AND kt.id = t.kind_id | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(t.title) AS marvel_movie, MIN(n.name) AS actor_name FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.name LIKE '%Downey%Robert%' AND k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND t.id = ci.movie_id AND n.id = ci.person_id AND t.id = mk.movie_id | job |
SELECT dt.d_year, SUM(ss_ext_sales_price) AS sum_agg, item.i_brand_id AS brand_id, item.i_brand AS brand FROM date_dim AS dt JOIN store_sales ON dt.d_date_sk = store_sales.ss_sold_date_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE item.i_manufact_id = 703 AND dt.d_moy = 11 GROUP BY dt.d_year, item.i_brand, item.i_brand_id ORDER BY dt.d_year, sum_agg DESC, brand_id; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND t.id = mc.movie_id AND t.id = mi.movie_id AND mc.movie_id = mi.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 it.info = 'bottom 10 rank' AND it.id = mi.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 it.id = mi.info_type_id AND mi.movie_id = t.id AND mc.note LIKE '%(USA)%' AND ml.movie_id = mc.movie_id AND cn.country_code = '[us]' AND ml.movie_id = mk.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND k.id = mk.keyword_id AND t.production_year > 1950 AND t.id = mk.movie_id AND t.id = ml.movie_id AND lt.link LIKE '%follow%' AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mi.info LIKE 'USA:% 199%' AND cn.id = mc.company_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND lt.id = ml.link_type_id AND mi.note LIKE '%internet%' AND it.info = 'release dates' LIMIT 10; | job |
SELECT COUNT(1) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE p.Id = c.PostId AND u.Id = b.UserId AND p.Id = v.PostId AND p.Score <= 192 AND p.Id = ph.PostId AND u.Id = p.OwnerUserId AND p.ViewCount >= 0 | stats |
Select Min(chn.name) As uncredited_voiced_character, Min(t.title) As russian_movie From char_name As chn, cast_info As ci, company_name As cn, company_type As ct, movie_companies As mc, role_type As rt, title As t Where rt.id = ci.role_id And ci.note Like '%(uncredited)%' And rt.role = 'actor' And t.id = ci.movie_id And ct.id = mc.company_type_id And cn.id = mc.company_id And ci.movie_id = mc.movie_id And chn.id = ci.person_role_id And t.id = mc.movie_id And t.production_year > 2005 And cn.country_code = '[ru]' And ci.note Like '%(voice)%' | 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.id = mk.keyword_id and t.id = ci.movie_id and k.keyword = 'marvel-cinematic-universe' and n.id = ci.person_id and n.name like '%Downey%Robert%' and ci.movie_id = mk.movie_id and t.id = mk.movie_id and t.production_year > 2010 | 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 mi.movie_id = mi_idx.movie_id AND kt.kind = 'movie' AND at.movie_id = mi.movie_id AND t.id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND t.production_year > 2000 AND it2.id = mi.info_type_id AND it2.info = 'release dates' AND t.id = at.movie_id AND t.id = mi.movie_id AND mi_idx.movie_id = mc.movie_id AND at.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND kt.id = t.kind_id AND mi_idx.info < '3.5' AND cn.id = mc.company_id AND cn.country_code = '[us]' AND mi.info LIKE 'USA:%200%' AND it1.info = 'rating' AND t.id = mi_idx.movie_id AND it1.id = mi_idx.info_type_id AND at.title LIKE '%Champion%' | 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 it.info = 'top 250 rank' 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 t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND t.id = mc.movie_id | job |
Select Avg(cs_sales_price) As agg4, Avg(cs_coupon_amt) As agg3, Avg(cs_quantity) As agg1, i_item_id, Avg(cs_list_price) As agg2 From catalog_sales Join customer_demographics On cs_bill_cdemo_sk = cd_demo_sk Join date_dim On cs_sold_date_sk = d_date_sk Join item On cs_item_sk = i_item_sk Join promotion On cs_promo_sk = p_promo_sk Where cd_gender = 'F' And cd_marital_status = 'S' And cd_education_status = 'Advanced Degree' And (p_channel_email = 'N' Or p_channel_event = 'N') And d_year = 1999 Group By i_item_id Order By i_item_id Limit 100; | tpcds |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND 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 ) AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND p_type LIKE 1 AND p_size = 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
Select i_brand_id As brand_id, i_brand As brand, Sum(ss_ext_sales_price) As ext_price From date_dim Join store_sales On d_date_sk = ss_sold_date_sk Join item On ss_item_sk = i_item_sk Where d_year = 2001 AND i_manager_id = 1 AND d_moy = 11 Group By i_brand, i_brand_id Order By ext_price Desc, brand_id; | tpcds |
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 = 2001 And d_moy = 6 ) 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; | tpcds |
SELECT c_last_name, ss_ticket_number, c_first_name, bought_city, extended_tax, extended_price, list_price, ca_city FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 4 OR hd_vehicle_count = 4) AND d_dow IN (6, 0) AND d_year IN (2001, 2000, 2001) AND s_city IN ('Clinton', 'Glendale') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city != bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT i_brand AS brand, SUM(ss_ext_sales_price) AS ext_price, i_manufact_id, i_manufact, i_brand_id AS brand_id FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE d_moy = 12 AND d_year = 1999 AND i_manager_id = 47 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 nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE s_suppkey = l_suppkey AND ps_suppkey = l_suppkey AND ps_partkey = l_partkey AND p_partkey = l_partkey AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey AND p_name LIKE 1 ) AS profit GROUP BY nation, o_year ORDER BY nation, o_year DESC; | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE o_orderstatus = 'F' AND l1.l_receiptdate > l1.l_commitdate 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 n_name = 1 AND s_nationkey = n_nationkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND s_suppkey = l1.l_suppkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE p.Id = ph.PostId AND p.Id = v.PostId AND p.Id = c.PostId AND c.UserId = u.Id AND p.Score <= 40 AND p.Id = pl.RelatedPostId AND b.UserId = u.Id AND pl.LinkTypeId = 1 | stats |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND t.id = mi.movie_id AND mi.movie_id = mi_idx.movie_id AND it2.info = 'release dates' AND at.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND it2.id = mi.info_type_id AND mi_idx.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND kt.id = t.kind_id AND at.title LIKE '%Champion%' AND t.id = mi_idx.movie_id AND cn.id = mc.company_id AND t.id = mc.movie_id AND it1.id = mi_idx.info_type_id AND mi.info LIKE 'USA:%200%' AND t.production_year > 2000 AND mi_idx.info < '3.5' AND at.movie_id = mi.movie_id AND it1.info = 'rating' AND t.id = at.movie_id AND kt.kind = 'movie' | 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_moy BETWEEN 3 AND 7 + 3 AND d2.d_year = 2002 AND d1.d_year = 2002 AND d3.d_year = 2002 AND d2.d_moy BETWEEN 3 AND 7 + 3 AND d1.d_moy BETWEEN 3 AND 7 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 |
WITH year_total AS ( SELECT c_birth_country AS customer_birth_country, c_last_name AS customer_last_name, d_year AS dyear, c_customer_id AS customer_id, 's' AS sale_type, c_login AS customer_login, c_preferred_cust_flag AS customer_preferred_cust_flag, c_first_name AS customer_first_name, c_email_address AS customer_email_address, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
SELECT c_last_name, extended_price, c_first_name, ca_city, ss_ticket_number, list_price, extended_tax, bought_city FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE s_city IN ('Clinton', 'Oak Grove') AND (hd_dep_count = 5 OR hd_vehicle_count = 0) AND d_year IN (1999, 2002, 2003) 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 50; | tpcds |
select min(cn.name) as movie_company, min(mi_idx.info) as rating, min(t.title) as western_violent_movie from company_name as cn, company_type as ct, info_type as it1, info_type as it2, keyword as k, kind_type as kt, movie_companies as mc, movie_info as mi, movie_info_idx as mi_idx, movie_keyword as mk, title as t where mi.movie_id = mc.movie_id AND mi_idx.info < '7.0' AND t.production_year > 2008 AND cn.country_code != '[us]' AND mc.movie_id = mi_idx.movie_id AND mc.note like '%(200%)%' AND kt.id = t.kind_id AND kt.kind in ('movie', 'episode') AND mi.movie_id = mi_idx.movie_id AND mi.info in ('Germany', 'German', 'USA', 'American') AND it1.id = mi.info_type_id AND it1.info = 'countries' AND mc.note not like '%(USA)%' AND t.id = mi_idx.movie_id AND cn.id = mc.company_id AND mk.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND it2.id = mi_idx.info_type_id AND it2.info = 'rating' AND k.id = mk.keyword_id AND k.keyword in ('murder', 'murder-in-title', 'blood', 'violence') | job |
SELECT COUNT(DISTINCT l_returnflag) AS count_order, SUM(l_extendedprice) AS sum_base_price, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_quantity) AS avg_qty, l_linestatus, l_returnflag, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_discount) AS avg_disc, 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 COUNT(sr_return_quantity) AS store_returns_quantitycount, COUNT(cs_quantity) AS catalog_sales_quantitycount, i_item_id, i_item_desc, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, COUNT(ss_quantity) AS store_sales_quantitycount, s_state, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, AVG(cs_quantity) AS catalog_sales_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 = 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 count(*) from postHistory as ph, posts as p, users as u where ph.PostId = p.Id AND p.OwnerUserId = u.Id AND p.Score >= -1 AND ph.PostHistoryTypeId = 5 LIMIT 500; | stats |
WITH _q AS ( SELECT AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ( (hd_dep_count = 2 AND hd_vehicle_count <= 3) OR (hd_dep_count = 4 AND hd_vehicle_count <= 3) OR (hd_dep_count = 5 AND hd_vehicle_count <= 5) ) AND ca_country = 'United States' AND ca_state IN ('TX', 'GA', 'NC') ) SELECT * FROM _q AND s_market_id = 9 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) ) | tpcds |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE l_suppkey = s_suppkey AND o_orderdate >= DATE 1 AND l_orderkey = o_orderkey AND r_name = 1 AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND n_regionkey = r_regionkey AND c_nationkey = s_nationkey AND s_nationkey = n_nationkey AND c_custkey = o_custkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT n_name, p_mfgr, s_phone, s_acctbal, s_name, s_address, s_comment, p_partkey FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
Select Min(t.title) As movie_title From company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, title As t Where cn.country_code ='[sm]' 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 cn.id = mc.company_id AND mc.movie_id = t.id | job |
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 JOIN catalog_returns ON cr_call_center_sk = cc_call_center_sk JOIN date_dim ON cr_returned_date_sk = d_date_sk JOIN customer ON cr_returning_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN customer_demographics ON cr_returning_cdemo_sk = cd_demo_sk JOIN household_demographics ON cr_returning_hdemo_sk = hd_demo_sk WHERE d_moy = 12 AND ca_gmt_offset = -5 AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree') OR (hd_buy_potential LIKE '1001-5000%' 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 cnt, c_salutation, ss_ticket_number, c_first_name, c_last_name, c_preferred_cust_flag FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(1) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE 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 (2001, 2001, 2001) 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 c_salutation, c_last_name, c_first_name, 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 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 DESC LIMIT 100; | tpcds |
SELECT COUNT(*) FROM badges AS b, users AS u, posts AS p WHERE u.Id = b.UserId AND u.Id = p.OwnerUserId AND u.Reputation >= 1 AND p.PostTypeId = 1 LIMIT 200; | stats |
SELECT COUNT(1) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE p.Id = ph.PostId AND u.Id = b.UserId AND u.Id = p.OwnerUserId AND p.ViewCount >= 0 AND p.Score <= 192 AND p.Id = v.PostId AND p.Id = c.PostId | stats |
Select Count(1) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v, badges As b Where p.Id = c.PostId And p.Id = v.PostId And b.UserId = c.UserId And pl.LinkTypeId = 1 And p.Id = pl.RelatedPostId And p.Id = ph.PostId And c.Score = 0 | stats |
select min(t.title) as movie_title, min(mc.note) as production_note, min(t.production_year) as movie_year from company_type as ct, info_type as it, movie_companies as mc, movie_info_idx as mi_idx, title as t where t.id = mc.movie_id and ct.id = mc.company_type_id and it.info = 'top 250 rank' and mc.movie_id = mi_idx.movie_id and it.id = mi_idx.info_type_id and ct.kind = 'production companies' and t.id = mi_idx.movie_id and (mc.note like '%(co-production)%' or mc.note like '%(presents)%') and mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE d_moy = 12 ) AS all_sales AND d_year = 2002 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND i_category = 'Jewelry' AND d_year = 2002 AND i_category = 'Jewelry' 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 s_gmt_offset = -6 AND ca_gmt_offset = -6 ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT MIN(t.title) AS series_named_after_char, MIN(an.name) AS cool_actor_pseudonym FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE ci.movie_id = t.id AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND k.keyword = 'character-name-in-title' AND n.id = ci.person_id AND mk.keyword_id = k.id AND an.person_id = ci.person_id AND t.episode_nr >= 50 AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND t.episode_nr < 100 AND t.id = mc.movie_id AND an.person_id = n.id AND mc.movie_id = mk.movie_id AND mc.company_id = cn.id | job |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE t.id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND ci.role_id = rt.id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.person_id = an.person_id AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND an.person_id = n.id AND mi.movie_id = mc.movie_id AND it.info = 'release dates' AND mc.note LIKE '%(USA)%' AND rt.role = 'actress' AND t.id = ci.movie_id AND chn.id = ci.person_role_id AND cn.country_code = '[us]' AND n.gender = 'f' AND t.production_year > 2000 AND n.id = ci.person_id 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 it.info = 'bottom 10 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.movie_id = mi.movie_id AND t.id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id | job |
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