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Select Count(*) From postHistory As ph, posts As p, users As u, badges As b Where u.Reputation >= 1 And ph.UserId = u.Id And p.Score >= -7 And p.OwnerUserId = u.Id And ph.PostHistoryTypeId = 3 And u.Id = b.UserId | stats |
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 mi_idx.info > '7.0' AND t.id = mi_idx.movie_id AND it.info ='rating' AND it.id = mi_idx.info_type_id AND t.production_year BETWEEN 2000 AND 2010 LIMIT 1000; | job |
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_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 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 i_current_price BETWEEN 89.17 AND 89.17 + 1.49 AND d_date BETWEEN (CAST('2000-03-11' AS DATE) - INTERVAL '30 days') AND (CAST('2000-03-11' AS DATE) + INTERVAL '30 days') GROUP BY w_state, i_item_id ORDER BY w_state, i_item_id; | tpcds |
select max(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where k.keyword like '%sequel%' and mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') and t.production_year > 2005 and t.id = mi.movie_id and t.id = mk.movie_id and mk.movie_id = mi.movie_id and k.id = mk.keyword_id LIMIT 100; | job |
SELECT MAX(sr_net_loss) AS store_returns_loss, s_store_name, MAX(ss_net_profit) AS store_sales_profit, MAX(cs_net_profit) AS catalog_sales_profit, i_item_id, s_store_id, i_item_desc 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 d3.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d1.d_year = 2001 AND d3.d_year = 2001 AND d2.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 s_address, s_phone, s_acctbal, s_name, s_comment, n_name, p_mfgr, 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 AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_discount) AS avg_disc, l_returnflag, l_linestatus, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_extendedprice) AS sum_base_price, SUM(l_quantity) AS sum_qty, COUNT(*) AS count_order, AVG(l_quantity) AS avg_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 MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND k.keyword ='character-name-IN-title' AND cn.id = mc.company_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND cn.country_code ='[de]' AND mc.movie_id = t.id | 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 c_nationkey = n_nationkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_orderkey = o_orderkey AND l_returnflag = 'R' AND c_custkey = o_custkey AND o_orderdate >= DATE 1 GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC; | tpch |
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 it1.id = mi.info_type_id AND cn.country_code != '[us]' AND mi.movie_id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND mi_idx.info < '7.0' AND it1.info = 'countries' AND kt.kind IN ('movie', 'episode') AND mk.movie_id = mi.movie_id AND kt.id = t.kind_id AND t.production_year > 2008 AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND mc.note LIKE '%(200%)%' AND mk.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND t.id = mk.movie_id AND mi.movie_id = mc.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND t.id = mi_idx.movie_id AND mc.note NOT LIKE '%(USA)%' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it2.info = 'rating' AND cn.id = mc.company_id AND it2.id = mi_idx.info_type_id AND t.id = mi.movie_id | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE o_orderkey = l1.l_orderkey AND s_suppkey = l1.l_suppkey AND s_nationkey = n_nationkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND l1.l_receiptdate > l1.l_commitdate AND n_name = 1 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 ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_comment FROM customer, orders, lineitem, nation WHERE l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND o_orderdate >= DATE 1 AND c_nationkey = n_nationkey AND l_returnflag = 'R' AND c_custkey = o_custkey 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(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost), AVG(ss_quantity) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ca_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 ( (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 ca_state IN ('TX', 'GA', 'FL') AND d_year = 2001 AND s_market_id = 8 | tpcds |
WITH _q AS ( SELECT c_last_name, c_preferred_cust_flag, c_first_name, 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 (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND d_dom BETWEEN 1 AND 2 AND hd_vehicle_count > 0 AND d_year IN (1999, 2002, 2001) AND s_county IN ('Williamson County', 'Jefferson County', 'Jackson County', 'Champaign County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000 ) SELECT * FROM _q; | tpcds |
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_orderkey = o_orderkey AND r_name = 1 AND c_custkey = o_custkey AND o_orderdate >= DATE 1 AND l_suppkey = s_suppkey AND c_nationkey = s_nationkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND n_regionkey = r_regionkey group by n_name order by revenue desc | tpch |
SELECT o_orderdate, o_shippriority, l_orderkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem WHERE c_mktsegment = 1 AND l_orderkey = o_orderkey AND c_custkey = o_custkey 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 |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE n_regionkey = r_regionkey AND o_orderdate >= DATE 1 AND s_nationkey = n_nationkey AND r_name = 1 AND c_nationkey = s_nationkey AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND c_custkey = o_custkey AND l_suppkey = s_suppkey GROUP BY n_name ORDER BY revenue DESC | tpch |
select count(1) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v where p.Id = pl.PostId and p.Id = v.PostId and p.Id = ph.PostId and p.Id = c.PostId and c.Score = 0 and p.FavoriteCount >= 0 and pl.LinkTypeId = 1 LIMIT 500; | stats |
Select Count(*) 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 = p.OwnerUserId And u.Id = b.UserId And p.Id = c.PostId And p.Id = v.PostId And p.Score <= 192 And p.ViewCount >= 0 | stats |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_receiptdate >= DATE 1 AND l_shipdate < l_commitdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_commitdate < l_receiptdate AND o_orderkey = l_orderkey AND l_shipmode IN (1, 1) GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.id = mc.company_id AND mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND k.keyword ='character-name-IN-title' AND cn.country_code ='[sm]' AND mk.keyword_id = k.id | job |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE ml.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND mi.movie_id = t.id AND it.info = 'release dates' AND cn.country_code = '[us]' AND t.id = mk.movie_id AND t.id = mc.movie_id AND mi.note LIKE '%internet%' AND mi.info LIKE 'USA:% 199%' AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND t.id = ml.movie_id AND it.id = mi.info_type_id AND lt.id = ml.link_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND k.keyword = ANY(ARRAY['sequel', 'revenge', 'based-on-novel']) AND ml.movie_id = mi.movie_id AND lt.link LIKE '%follow%' AND cn.id = mc.company_id AND t.production_year > 1950 AND ml.movie_id = mk.movie_id AND ct.id = mc.company_type_id | job |
SELECT AVG(ss_ext_wholesale_cost), AVG(ss_ext_sales_price), SUM(ss_ext_wholesale_cost), AVG(ss_quantity) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ( (hd_dep_count = 3 AND hd_vehicle_count <= 3) OR (hd_dep_count = 2 AND hd_vehicle_count <= 2) OR (hd_dep_count = 4 AND hd_vehicle_count <= 5) ) AND ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 78 AND 126) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 69 AND 117) OR (cd_marital_status = 'D' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 147 AND 164) ) AND s_market_id = 10 AND ca_country = 'United States' AND d_year = 2002 AND ca_state IN ('OH', 'GA', 'NY') | 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_nationkey = n_nationkey AND p_name LIKE 1 ) AS profit AND p_partkey = l_partkey AND s_suppkey = l_suppkey AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey AND ps_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | 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 ml.movie_id = mi.movie_id AND cn.id = mc.company_id AND mi.info LIKE 'USA:% 199%' AND it.id = mi.info_type_id AND ml.movie_id = mc.movie_id AND ml.movie_id = mk.movie_id AND lt.id = ml.link_type_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mc.note LIKE '%(USA)%' AND mk.movie_id = mc.movie_id AND cn.country_code = '[us]' AND t.id = ml.movie_id AND t.production_year > 1950 AND t.id = mk.movie_id AND it.info = 'release dates' AND mi.note LIKE '%internet%' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND k.id = mk.keyword_id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND mi.movie_id = t.id AND lt.link LIKE '%follow%' | 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 cn.country_code ='[sm]' AND k.keyword ='character-name-In-title' AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.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_size = 1 AND r_name = 1 AND n_regionkey = r_regionkey AND p_type LIKE 1 AND s_suppkey = ps_suppkey 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 p_partkey = ps_partkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
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 = miidx.movie_id AND kt.id = t.kind_id AND ct.id = mc.company_type_id AND it.info = 'rating' AND mi.movie_id = t.id AND it2.info = 'release dates' AND kt.kind = 'movie' AND ct.kind = 'production companies' AND cn.country_code = '[de]' AND cn.id = mc.company_id AND it2.id = mi.info_type_id AND miidx.movie_id = t.id AND mc.movie_id = t.id AND miidx.movie_id = mc.movie_id AND it.id = miidx.info_type_id AND mi.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 k.id = mk.keyword_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND k.keyword like '%sequel%' AND t.production_year > 2005 AND mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') | job |
SELECT COUNT(*) 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 = p.OwnerUserId AND p.Score <= 192 AND p.ViewCount >= 0 AND u.Id = b.UserId AND p.Id = ph.PostId AND p.Id = v.PostId | stats |
Select Sum(ss_ext_sales_price) As sum_agg, dt.d_year, item.i_brand As brand, item.i_brand_id As brand_id 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 = 599 And dt.d_moy = 12 Group By dt.d_year, item.i_brand, item.i_brand_id Order By dt.d_year, sum_agg Desc, brand_id Limit 100; | tpcds |
SELECT cc_name AS call_center_name, cc_manager AS manager, SUM(cr_net_loss) AS returns_loss, cc_call_center_id AS call_center FROM call_center INNER JOIN catalog_returns ON cr_call_center_sk = cc_call_center_sk INNER JOIN date_dim ON cr_returned_date_sk = d_date_sk INNER JOIN customer ON cr_returning_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = ca_address_sk INNER JOIN customer_demographics ON cr_returning_cdemo_sk = cd_demo_sk INNER JOIN household_demographics ON cr_returning_hdemo_sk = hd_demo_sk WHERE d_year = 2001 AND d_moy = 12 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 ca_gmt_offset = -5 GROUP BY cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status ORDER BY returns_loss ASC; | tpcds |
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 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 s_market_id = 9 AND ca_state IN ('TX', 'GA', 'NC') ) SELECT * FROM _q | tpcds |
SELECT MIN(t.title) AS russian_movie, MIN(chn.name) AS uncredited_voiced_character 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 cn.country_code = '[ru]' AND ci.movie_id = mc.movie_id AND ci.note LIKE '%(voice)%' AND ci.note LIKE '%(uncredited)%' AND t.id = mc.movie_id AND rt.role = 'actor' AND chn.id = ci.person_role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND t.id = ci.movie_id AND t.production_year > 2005 | job |
Select s_name, Count(*) As numwait From supplier, lineitem l1, orders, nation Where s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' AND l1.l_receiptdate > l1.l_commitdate AND n_name = 1 AND s_nationkey = n_nationkey AND o_orderkey = l1.l_orderkey AND Not Exists ( Select * From lineitem l3 Where l3.l_orderkey = l1.l_orderkey And l3.l_suppkey <> l1.l_suppkey And l3.l_receiptdate > l3.l_commitdate ) AND Exists ( Select * From lineitem l2 Where l2.l_orderkey = l1.l_orderkey And l2.l_suppkey <> l1.l_suppkey ) Group By s_name Order By numwait Desc, s_name Limit 100 | tpch |
select l_orderkey, sum(l_extendedprice * (1 - l_discount)) as revenue, o_orderdate, o_shippriority from customer, orders, lineitem where c_custkey = o_custkey and l_shipdate > DATE 1 and o_orderdate < DATE 1 and c_mktsegment = 1 and l_orderkey = o_orderkey group by l_orderkey, o_orderdate, o_shippriority order by revenue desc, o_orderdate; | tpch |
SELECT p_size, p_brand, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_type FROM partsupp, part WHERE p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_type NOT LIKE 1 AND p_partkey = ps_partkey AND p_brand <> 1 AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
Select 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 mc.movie_id = mi.movie_id AND it.info = 'bottom 10 rank' AND t.id = mc.movie_id AND t.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.id = mi.info_type_id | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie, MIN(cn.name) AS movie_company 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 it1.info = 'countries' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND cn.country_code <> '[us]' AND mi.movie_id = mc.movie_id AND kt.kind IN ('movie', 'episode') AND mc.movie_id = mi_idx.movie_id AND t.id = mk.movie_id AND t.production_year > 2008 AND mi_idx.info < '7.0' AND it1.id = mi.info_type_id AND it2.info = 'rating' AND mc.note LIKE '%(200%)%' AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND t.id = mc.movie_id AND cn.id = mc.company_id AND kt.id = t.kind_id AND mk.movie_id = mi.movie_id AND mc.note NOT LIKE '%(USA)%' AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND t.id = mi.movie_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id | job |
select count(*) from comments as c, postHistory as ph, votes as v, users as u where u.DownVotes >= 0 and u.Id = v.UserId and v.UserId = ph.UserId and ph.UserId = c.UserId and u.UpVotes <= 123 and u.Views >= 0 | stats |
WITH year_total AS ( SELECT d_year AS dyear, c_birth_country AS customer_birth_country, c_first_name AS customer_first_name, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_email_address AS customer_email_address, c_last_name AS customer_last_name, 's' AS sale_type, c_preferred_cust_flag AS customer_preferred_cust_flag, c_customer_id AS customer_id, c_login AS customer_login FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
SELECT MAX(an.name) AS cool_actor_pseudonym, MAX(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE mc.company_id = cn.id AND an.person_id = n.id AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND n.id = ci.person_id AND cn.country_code = '[us]' AND t.id = mk.movie_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND an.person_id = ci.person_id AND ci.movie_id = t.id AND t.episode_nr >= 50 AND k.keyword = 'character-name-in-title' AND t.episode_nr < 100 AND t.id = mc.movie_id | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_suppkey = l1.l_suppkey AND s_nationkey = n_nationkey AND l1.l_receiptdate > l1.l_commitdate AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND o_orderkey = l1.l_orderkey AND n_name = 1 AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND o_orderstatus = 'F' GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT p_size, p_type, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_brand FROM partsupp, part WHERE ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_partkey = ps_partkey AND p_type NOT LIKE 1 AND p_brand <> 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT c_last_name, c_first_name, ca_city, bought_city, ss_ticket_number, extended_price, extended_tax, list_price FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk INNER 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 INNER JOIN customer ON ss_customer_sk = c_customer_sk INNER 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 cc_name AS call_center_name, cc_call_center_id AS call_center, 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 ca_gmt_offset = -6 AND ( (cd_marital_status = 'S' AND cd_education_status = '4 yr Degree') OR (hd_buy_potential LIKE '1001-5000%' AND ca_gmt_offset = -6) ) AND d_moy = 12 AND d_year = 1999 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 COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = c.PostId AND pl.LinkTypeId = 1 AND p.Id = pl.PostId AND p.Id = ph.PostId AND p.FavoriteCount >= 0 AND c.Score = 0 AND p.Id = v.PostId | stats |
select s_name, s_address from supplier, nation where n_name = 1 and s_suppkey in ( select ps_suppkey from partsupp where ps_partkey in ( select p_partkey from part where p_name like 1 ) and ps_availqty > ( select 0.5 * sum(l_quantity) from lineitem where l_partkey = ps_partkey and l_suppkey = ps_suppkey and l_shipdate >= DATE 1 and l_shipdate < DATE 1 + INTERVAL '1' YEAR ) ) and s_nationkey = n_nationkey order by s_name | tpch |
select p_partkey, s_address, s_phone, s_acctbal, p_mfgr, s_comment, s_name, n_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 s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE 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 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 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 ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND it.info = 'top 250 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
SELECT nation, SUM(amount) AS sum_profit, o_year FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE s_nationkey = n_nationkey AND ps_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND s_suppkey = l_suppkey AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey AND p_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
WITH year_total AS ( SELECT SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_customer_id AS customer_id, c_preferred_cust_flag AS customer_preferred_cust_flag, 's' AS sale_type, c_last_name AS customer_last_name, d_year AS dyear, c_first_name AS customer_first_name, c_login AS customer_login, c_email_address AS customer_email_address, c_birth_country AS customer_birth_country FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
Select Sum(cs_quantity) As catalog_sales_quantity, Sum(ss_quantity) As store_sales_quantity, s_store_id, Sum(sr_return_quantity) As store_returns_quantity, i_item_id, i_item_desc, s_store_name From store_sales Join store_returns On ss_customer_sk = sr_customer_sk And ss_item_sk = sr_item_sk And ss_ticket_number = sr_ticket_number Join catalog_sales On sr_customer_sk = cs_bill_customer_sk And sr_item_sk = cs_item_sk Join date_dim As d1 On ss_sold_date_sk = d1.d_date_sk Join date_dim As d2 On sr_returned_date_sk = d2.d_date_sk Join date_dim As d3 On cs_sold_date_sk = d3.d_date_sk Join store On ss_store_sk = s_store_sk Join item On ss_item_sk = i_item_sk Where d1.d_moy = 3 And d1.d_year = 2001 And d2.d_moy Between 3 And 3 + 3 And d2.d_year = 2001 And d3.d_moy Between 3 And 3 + 3 And d3.d_year = 2001 Group By i_item_id, i_item_desc, s_store_id, s_store_name Order By i_item_id, i_item_desc, s_store_id, s_store_name Limit 100; | tpcds |
select min(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 ct.kind = 'production companies' and it.info = 'top 250 rank' and mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' and (mc.note like '%(co-production)%' or mc.note like '%(presents)%') and ct.id = mc.company_type_id and t.id = mc.movie_id and t.id = mi_idx.movie_id and mc.movie_id = mi_idx.movie_id and it.id = mi_idx.info_type_id LIMIT 200; | job |
WITH _q AS ( select count(1) from badges as b, posts as p where p.AnswerCount <= 4 AND b.Date <= '2014-09-11 08:55:52'::timestamp AND b.UserId = p.OwnerUserId AND p.AnswerCount >= 0 ) SELECT * FROM _q; | stats |
SELECT i_brand AS brand, i_manufact_id, i_manufact, 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 = 12 AND d_year = 1999 AND i_manager_id = 3 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; | tpcds |
SELECT s_name, COUNT(DISTINCT s_name) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_suppkey = l1.l_suppkey AND o_orderkey = l1.l_orderkey 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 n_name = 1 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 it.id = mi.info_type_id AND mc.note like '%(USA)%' AND k.keyword = ANY(ARRAY['sequel', 'revenge', 'based-on-novel']) AND mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' AND mi.note like '%internet%' AND t.id = mc.movie_id AND k.id = mk.keyword_id AND cn.country_code = '[us]' AND it.info = 'release dates' AND mi.info like 'USA:% 199%' AND ml.movie_id = mk.movie_id AND mk.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mi.movie_id = t.id AND t.id = mk.movie_id AND ml.movie_id = mi.movie_id AND lt.id = ml.link_type_id AND t.id = ml.movie_id AND ml.movie_id = mc.movie_id AND lt.link like '%follow%' AND t.production_year > 1950 | 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 n_regionkey = r_regionkey 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_partkey = ps_partkey AND r_name = 1 AND p_type LIKE 1 AND p_size = 1 ORDER BY s_acctbal ASC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT ss_ticket_number, list_price, extended_tax, ca_city, bought_city, extended_price, c_last_name, c_first_name FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 5 OR hd_vehicle_count = 0) AND d_dow IN (6, 0) AND d_year IN (2000, 2002, 2001) AND s_city IN ('Clinton', 'Oak Grove') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT MIN(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 ci.person_id = an.person_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND an.person_id = n.id AND it.info = 'release dates' AND n.gender = 'f' AND t.id = mi.movie_id AND ci.role_id = rt.id AND it.id = mi.info_type_id AND cn.id = mc.company_id AND mi.movie_id = ci.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND rt.role = 'actress' AND mi.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND cn.country_code = '[us]' AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND t.production_year > 2000 AND t.id = ci.movie_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 c_nationkey = n2.n_nationkey 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 l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping 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 AVG(l_discount) AS avg_disc, SUM(l_extendedprice) AS sum_base_price, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_linestatus, AVG(l_quantity) AS avg_qty, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_extendedprice) AS avg_price, l_returnflag, 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(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.Id = ph.PostId AND u.Id = p.OwnerUserId AND p.Id = c.PostId AND p.AnswerCount >= 0 AND p.PostTypeId = 1 AND p.Id = v.PostId AND p.Id = pl.PostId | stats |
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 = pl.RelatedPostId AND p.Id = ph.PostId AND p.Id = v.PostId AND pl.LinkTypeId = 1 AND c.UserId = u.Id AND p.Id = c.PostId AND p.Score <= 40 AND b.UserId = u.Id | stats |
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 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 d_year = 1998 AND ca_gmt_offset = -7 AND d_year = 1998 AND i_category = 'Electronics' AND d_moy = 9 ) 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 = -7 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND i_category = 'Electronics' AND s_gmt_offset = -7 AND s_gmt_offset = -7 AND d_moy = 9 ) AS all_sales ORDER BY promotions, total LIMIT 100; | tpcds |
with _q as ( select c_last_name, c_first_name, ca_city, bought_city, ss_ticket_number, extended_price, extended_tax, list_price from ( select ss_ticket_number, ss_customer_sk, ca_city as bought_city, sum(ss_ext_sales_price) as extended_price, sum(ss_ext_list_price) as list_price, sum(ss_ext_tax) as extended_tax from store_sales join date_dim on ss_sold_date_sk = d_date_sk join store on ss_store_sk = s_store_sk join household_demographics on ss_hdemo_sk = hd_demo_sk join customer_address on ss_addr_sk = ca_address_sk where d_year = ANY(ARRAY[1999, 2002, 2003]) and (hd_dep_count = 5 or hd_vehicle_count = 0) and d_dow in (6, 0) and s_city in ('Clinton', 'Oak Grove') group by ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) as dn join customer on ss_customer_sk = c_customer_sk join customer_address on c_current_addr_sk = customer_address.ca_address_sk where ca_city <> bought_city order by c_last_name, ss_ticket_number limit 100 ) select * from _q; | 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 mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND t.production_year > 2005 AND t.id = mi.movie_id AND mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND k.id = mk.keyword_id limit 200; | job |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE r_name = 1 AND l_orderkey = o_orderkey AND l_suppkey = s_suppkey AND c_custkey = o_custkey AND n_regionkey = r_regionkey AND c_nationkey = s_nationkey AND s_nationkey = n_nationkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '1' YEAR GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT s_address, total_revenue, s_phone, s_name, s_suppkey FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) ORDER BY s_suppkey LIMIT 500; | tpch |
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 k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = mc.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND t.id = mk.movie_id AND it2.info = 'rating' AND kt.kind IN ('movie', 'episode') AND kt.id = t.kind_id AND mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND t.production_year > 2008 AND cn.country_code != '[us]' AND mk.movie_id = mi_idx.movie_id AND it1.info = 'countries' AND t.id = mi.movie_id AND it2.id = mi_idx.info_type_id AND t.id = mc.movie_id AND mi.movie_id = mc.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mi.movie_id = mi_idx.movie_id AND mi_idx.info < '7.0' AND mc.note LIKE '%(200%)%' | 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 it.id = mi.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi.movie_id AND mc.movie_id = mi.movie_id AND it.info = 'bottom 10 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND ct.kind = 'production companies' | job |
WITH year_total AS ( SELECT c_first_name AS customer_first_name, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, 's' AS sale_type, c_preferred_cust_flag AS customer_preferred_cust_flag, d_year AS dyear, c_customer_id AS customer_id, c_last_name AS customer_last_name, c_birth_country AS customer_birth_country, c_login AS customer_login, c_email_address AS customer_email_address FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
Select Min(t.title) As movie_title From company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, title As t Where cn.id = mc.company_id AND cn.country_code ='[de]' AND mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND k.keyword ='character-name-In-title' AND t.id = mk.movie_id AND mk.keyword_id = k.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 cn.id = mc.company_id AND n.id = ci.person_id AND it.info = 'release dates' AND t.id = mi.movie_id AND mi.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND it.id = mi.info_type_id AND t.production_year > 2000 AND an.person_id = n.id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND ci.role_id = rt.id AND t.id = mc.movie_id AND ci.person_id = an.person_id AND rt.role = 'actress' AND t.id = ci.movie_id AND cn.country_code = '[us]' AND n.gender = 'f' AND mi.movie_id = ci.movie_id | job |
select count(*) from comments as c, posts as p, postHistory as ph, votes as v, users as u where u.Id = c.UserId and c.UserId = p.OwnerUserId and p.OwnerUserId = ph.UserId and ph.UserId = v.UserId and p.Score <= 13 and p.AnswerCount >= 0 | stats |
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 n_regionkey = r_regionkey AND p_size = 1 AND r_name = 1 AND p_partkey = ps_partkey 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 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 mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mk.movie_id AND k.id = mk.keyword_id AND k.keyword LIKE '%sequel%' AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND t.production_year > 2000 LIMIT 200; | 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 ct.kind = 'production companies' AND it.id = mi_idx.info_type_id 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 t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' | job |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE p.Score <= 192 AND p.Id = v.PostId AND u.Id = b.UserId AND u.Id = p.OwnerUserId AND p.ViewCount >= 0 AND p.Id = ph.PostId AND p.Id = c.PostId | stats |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE it.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND ct.kind = 'production companies' AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
with year_total as ( select c_preferred_cust_flag as customer_preferred_cust_flag, c_customer_id as customer_id, d_year as dyear, sum(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) as year_total, c_login as customer_login, c_email_address as customer_email_address, c_first_name as customer_first_name, c_last_name as customer_last_name, 's' as sale_type, c_birth_country as customer_birth_country from customer join store_sales on c_customer_sk = ss_customer_sk join date_dim on ss_sold_date_sk = d_date_sk where d_year between 2002 and 2002 + 1 group by c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) select t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address from year_total as t_s_firstyear join year_total as t_s_secyear on t_s_firstyear.customer_id = t_s_secyear.customer_id where t_s_firstyear.sale_type = 's' and t_s_secyear.sale_type = 's' and t_s_firstyear.dyear = 2002 and t_s_secyear.dyear = 2002 + 1 and t_s_firstyear.year_total > 0 and case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else NULL end > 1.0 order by t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address limit 100; | tpcds |
SELECT 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 s_suppkey = l_suppkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND c_custkey = o_custkey AND c_nationkey = n2.n_nationkey 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 |
WITH _q AS ( 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 mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'bottom 10 rank' AND mc.movie_id = mi.movie_id AND t.id = mc.movie_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 ct.id = mc.company_type_id ) SELECT * FROM _q; | job |
SELECT c_first_name, extended_price, list_price, ss_ticket_number, bought_city, ca_city, 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 (hd_dep_count = 4 OR hd_vehicle_count = 4) AND d_dow IN (6, 0) AND d_year IN (2001, 2000, 2001) AND s_city IN ('Clinton', 'Glendale') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
select count(*) from comments as c, posts as p, postHistory as ph, votes as v, users as u where p.AnswerCount >= 0 and p.Score <= 13 and ph.UserId = v.UserId and p.OwnerUserId = ph.UserId and c.UserId = p.OwnerUserId and u.Id = c.UserId | stats |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE n_regionkey = r_regionkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND l_orderkey = o_orderkey AND s_nationkey = n_nationkey AND r_name = 1 AND o_orderdate >= DATE 1 AND c_nationkey = s_nationkey AND c_custkey = o_custkey AND l_suppkey = s_suppkey GROUP BY n_name ORDER BY revenue ASC | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b WHERE b.UserId = c.UserId AND p.Id = c.PostId AND p.Id = v.PostId AND p.Id = ph.PostId AND p.Id = pl.RelatedPostId AND pl.LinkTypeId = 1 AND c.Score = 0 | stats |
SELECT l_year, SUM(volume) AS revenue, cust_nation, supp_nation FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND c_nationkey = n2.n_nationkey AND s_suppkey = l_suppkey AND s_nationkey = n1.n_nationkey AND o_orderkey = l_orderkey AND c_custkey = o_custkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND s_suppkey = l1.l_suppkey AND n_name = 1 AND l1.l_receiptdate > l1.l_commitdate AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND o_orderkey = l1.l_orderkey AND 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 ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | 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 ci.person_id = n.id AND lt.link = 'features' AND an.name LIKE '%a%' AND t.id = ci.movie_id AND ci.movie_id = ml.linked_movie_id AND lt.id = ml.link_type_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND it.id = pi.info_type_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND t.production_year BETWEEN 1980 AND 1995 AND it.info = 'mini biography' AND pi.person_id = an.person_id AND ml.linked_movie_id = t.id AND n.id = pi.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND n.id = an.person_id AND pi.note = 'Volker Boehm' | job |
SELECT c_name, c_acctbal, c_phone, c_address, SUM(l_extendedprice * (1 - l_discount)) AS revenue, n_name, c_comment, c_custkey FROM customer, orders, lineitem, nation WHERE l_orderkey = o_orderkey AND c_nationkey = n_nationkey AND c_custkey = o_custkey AND l_returnflag = 'R' AND o_orderdate >= DATE 1 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 LIMIT 20 | tpch |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE cn.id = mc.company_id AND t.production_year > 2000 AND cn.country_code = '[us]' AND mi.movie_id = mc.movie_id AND rt.role = 'actress' AND an.person_id = n.id AND chn.id = ci.person_role_id AND mi.movie_id = ci.movie_id AND ci.person_id = an.person_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND it.info = 'release dates' AND it.id = mi.info_type_id AND ci.role_id = rt.id AND t.id = mc.movie_id AND mc.note LIKE '%(USA)%' AND t.id = ci.movie_id AND n.gender = 'f' AND t.id = mi.movie_id AND ci.movie_id = mc.movie_id AND n.id = ci.person_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 cn.id = mc.company_id AND mk.keyword_id = k.id AND t.id = mk.movie_id AND k.keyword ='character-name-IN-title' 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(*) as cnt from store_sales join date_dim on ss_sold_date_sk = d_date_sk join store on ss_store_sk = s_store_sk join household_demographics on ss_hdemo_sk = hd_demo_sk where (hd_buy_potential = '1001-5000' or hd_buy_potential = '5001-10000') and s_county = ANY(ARRAY['Williamson County', 'Daviess County', 'Oglethorpe County', 'Maricopa County']) and hd_vehicle_count > 0 and d_dom between 1 and 2 and d_year in (1999, 2001, 2002) group by ss_ticket_number, ss_customer_sk ) as dj join customer on ss_customer_sk = c_customer_sk where cnt between 1 and 5 order by cnt desc limit 1000; | tpcds |
SELECT MIN(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 mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id LIMIT 100; | job |
SELECT i_item_id, AVG(cs_list_price) AS agg2, AVG(cs_sales_price) AS agg4, AVG(cs_coupon_amt) AS agg3, 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_marital_status = 'S' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = '4 yr Degree' AND d_year = 2000 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 mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German']) AND t.id = mi.movie_id AND t.production_year > 2010 AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND k.keyword LIKE '%sequel%' | 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 ct.id = mc.company_type_id AND rt.role = 'actress' AND ci.note LIKE '%(voice: English version)%' AND cn.country_code = '[jp]' AND ci.person_id = an.person_id AND mk.movie_id = mc.movie_id AND t.id = mc.movie_id AND t.production_year > 1990 AND t.id = mk.movie_id AND k.id = mk.keyword_id AND k.keyword = 'anime' AND ci.role_id = rt.id AND n.id = ci.person_id AND n.gender = 'f' AND cn.id = mc.company_id AND t.id = ci.movie_id AND mc.note LIKE '%(Japan)%' AND mc.note NOT LIKE '%(USA)%' AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND mk.movie_id = ci.movie_id | job |
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