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SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE 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_suppkey = l1.l_suppkey AND s_nationkey = n_nationkey AND l1.l_receiptdate > l1.l_commitdate AND o_orderkey = l1.l_orderkey AND o_orderstatus = 'F' 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 Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v, badges As b, users As u Where c.UserId = u.Id AND pl.LinkTypeId = 1 AND p.Id = v.PostId AND p.Id = c.PostId AND p.Score <= 40 AND b.UserId = u.Id AND p.Id = pl.RelatedPostId AND p.Id = ph.PostId | stats |
Select Min(k.keyword) As movie_keyword, Min(n.name) As actor_name, Min(t.title) As marvel_movie From cast_info As ci, keyword As k, movie_keyword As mk, name As n, title As t Where n.id = ci.person_id And t.production_year > 2010 And t.id = mk.movie_id And k.keyword = 'marvel-cinematic-universe' And t.id = ci.movie_id And n.name Like '%Hemsworth%Chris%' And ci.movie_id = mk.movie_id And k.id = mk.keyword_id | job |
SELECT l_year, SUM(volume) AS revenue, supp_nation, cust_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 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 ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND s_suppkey = l_suppkey AND c_custkey = o_custkey AND c_nationkey = n2.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
select * from ( select avg(ss_list_price) as b1_lp, count(ss_list_price) as b1_cnt, count(distinct ss_list_price) as b1_cntd from store_sales where ss_quantity <= 5 and (ss_list_price between 16 and 16 + 10 or ss_coupon_amt between 665 and 665 + 1000 or ss_wholesale_cost between 67 and 67 + 20) ) as b1, ( select avg(ss_list_price) as b2_lp, count(ss_list_price) as b2_cnt, count(distinct ss_list_price) as b2_cntd from store_sales where ss_quantity between 6 and 10 and ss_quantity >= 0 and (ss_list_price between 100 and 100 + 10 or ss_coupon_amt between 2901 and 2901 + 1000 or ss_wholesale_cost between 33 and 33 + 20) ) as b2, ( select avg(ss_list_price) as b3_lp, count(ss_list_price) as b3_cnt, count(distinct ss_list_price) as b3_cntd from store_sales where ss_quantity between 11 and 15 and (ss_list_price between 84 and 84 + 10 or ss_coupon_amt between 1190 and 1190 + 1000 or ss_wholesale_cost between 65 and 65 + 20) ) as b3 limit 100; | tpcds |
Select bought_city, ss_ticket_number, extended_tax, extended_price, c_first_name, ca_city, list_price, c_last_name From ( Select ss_ticket_number, ss_customer_sk, ca_city As bought_city, Sum(ss_ext_sales_price) As extended_price, Sum(ss_ext_list_price) As list_price, Sum(ss_ext_tax) As extended_tax From store_sales Join date_dim On ss_sold_date_sk = d_date_sk Join store On ss_store_sk = s_store_sk Join household_demographics On ss_hdemo_sk = hd_demo_sk Join customer_address On ss_addr_sk = ca_address_sk Where (hd_dep_count = 5 Or hd_vehicle_count = 0) And d_dow In (6, 0) And d_year In (1999, 2002, 2003) 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 c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_comment FROM customer, orders, lineitem, nation WHERE o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND l_orderkey = o_orderkey AND c_custkey = o_custkey AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT i_item_id, 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, 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 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 93.37 AND 93.37 + 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 l_orderkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, o_shippriority FROM customer, orders, lineitem WHERE c_mktsegment = 1 AND l_shipdate > DATE 1 AND o_orderdate < DATE 1 AND c_custkey = o_custkey AND l_orderkey = o_orderkey GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | tpch |
Select c_first_name, c_last_name, c_preferred_cust_flag, ss_ticket_number, c_salutation, cnt From ( Select ss_ticket_number, ss_customer_sk, Count(*) As cnt From store_sales Join date_dim On ss_sold_date_sk = d_date_sk Join store On ss_store_sk = s_store_sk Join household_demographics On ss_hdemo_sk = hd_demo_sk Where d_dom Between 1 And 2 And (hd_buy_potential = '1001-5000' Or hd_buy_potential = '5001-10000') And hd_vehicle_count > 0 And d_year In (1999, 2000, 2003) And s_county In ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') Group By ss_ticket_number, ss_customer_sk ) As dj Join customer On ss_customer_sk = c_customer_sk Where cnt Between 1 And 5 Order By cnt Desc Limit 1000; | tpcds |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE mc.note LIKE '%(Japan)%' AND n1.id = ci.person_id AND n1.name LIKE '%Yo%' AND ci.note = '(voice: English version)' AND mc.note NOT LIKE '%(USA)%' AND ci.role_id = rt.id AND mc.company_id = cn.id AND an1.person_id = ci.person_id AND ci.movie_id = t.id AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND cn.country_code = '[jp]' AND t.id = mc.movie_id AND an1.person_id = n1.id AND n1.name NOT LIKE '%Yu%' | job |
select nation, o_year, sum(amount) as sum_profit from ( select n_name as nation, EXTRACT(YEAR from o_orderdate) as o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity as amount from part, supplier, lineitem, partsupp, orders, nation where ps_suppkey = l_suppkey AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND p_name like 1 ) as profit AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey AND ps_partkey = l_partkey group by nation, o_year order by nation, o_year desc | tpch |
SELECT s_name, s_address, s_suppkey, total_revenue, s_phone FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) ORDER BY s_suppkey | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND o_orderstatus = 'F' AND n_name = 1 AND o_orderkey = l1.l_orderkey AND s_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 ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
Select s_phone, s_name, total_revenue, s_address, s_suppkey From supplier, revenue0 Where s_suppkey = supplier_no And total_revenue = ( Select Max(total_revenue) From revenue0 ) Order By s_suppkey | 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 = t.id And cn.country_code ='[nl]' And t.id = mk.movie_id And k.keyword ='character-name-In-title' And mk.keyword_id = k.id And mc.movie_id = mk.movie_id | job |
SELECT MAX(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.id = mk.keyword_id AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND k.keyword LIKE '%sequel%' AND t.production_year > 2000 LIMIT 20; | job |
Select dt.d_year, item.i_brand_id As brand_id, item.i_brand As brand, Sum(ss_ext_sales_price) As sum_agg 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 dt.d_moy = 12 AND item.i_manufact_id = 691 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(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 ci.movie_id = mk.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND t.production_year > 2010 AND n.id = ci.person_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id | job |
SELECT AVG(sr_return_quantity) AS store_returns_quantityave, i_item_id, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, AVG(ss_quantity) AS store_sales_quantityave, COUNT(ss_quantity) AS store_sales_quantitycount, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, s_state, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, i_item_desc 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 s_name, s_address FROM supplier, nation WHERE s_nationkey = n_nationkey AND 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 ) ) ORDER BY s_name LIMIT 200; | tpch |
SELECT COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_brand, p_size, p_type FROM partsupp, part WHERE p_partkey = ps_partkey AND p_brand <> 1 AND p_type NOT LIKE 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND 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(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE mi.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND ci.person_id = an.person_id AND it.id = mi.info_type_id AND rt.role = 'actress' AND an.person_id = n.id AND cn.id = mc.company_id AND t.id = mi.movie_id AND it.info = 'release dates' AND chn.id = ci.person_role_id AND ci.movie_id = mc.movie_id AND mi.movie_id = ci.movie_id AND cn.country_code = '[us]' AND t.id = ci.movie_id AND n.id = ci.person_id AND ci.role_id = rt.id AND t.production_year > 2000 AND n.gender = 'f' AND t.id = mc.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') | 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 it.id = mi.info_type_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.production_year > 2000 AND ci.person_id = an.person_id AND n.id = ci.person_id AND mi.movie_id = ci.movie_id AND it.info = 'release dates' AND an.person_id = n.id AND n.gender = 'f' AND rt.role = 'actress' AND ci.role_id = rt.id AND cn.country_code = '[us]' AND t.id = ci.movie_id AND cn.id = mc.company_id AND chn.id = ci.person_role_id AND t.id = mc.movie_id AND t.id = mi.movie_id AND mc.note LIKE '%(USA)%' AND mi.movie_id = mc.movie_id AND ci.movie_id = mc.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 it1.info = 'rating' AND mi_idx.movie_id = mc.movie_id AND at.title LIKE '%Champion%' AND it1.id = mi_idx.info_type_id AND at.movie_id = mi_idx.movie_id AND kt.kind = 'movie' AND it2.info = 'release dates' AND t.id = at.movie_id AND at.movie_id = mc.movie_id AND t.id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND cn.country_code = '[us]' AND t.id = mc.movie_id AND t.id = mi.movie_id AND kt.id = t.kind_id AND mi.movie_id = mi_idx.movie_id AND mi_idx.info < '3.5' AND t.production_year > 2000 AND cn.id = mc.company_id AND it2.id = mi.info_type_id AND at.movie_id = mi.movie_id AND mi.movie_id = mc.movie_id | job |
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 o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND n1.n_regionkey = r_regionkey AND p_type = 1 ) as all_nations AND s_nationkey = n2.n_nationkey AND o_custkey = c_custkey AND s_suppkey = l_suppkey AND c_nationkey = n1.n_nationkey AND l_orderkey = o_orderkey AND p_partkey = l_partkey AND r_name = 1 group by o_year order by o_year | 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 t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi.info_type_id AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND t.id = mi.movie_id AND it.info = 'bottom 10 rank' LIMIT 1000; | 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 it.info = 'release dates' AND t.production_year > 2000 AND t.id = mi.movie_id AND t.id = ci.movie_id AND mc.note LIKE '%(USA)%' AND cn.country_code = '[us]' AND cn.id = mc.company_id AND mi.movie_id = ci.movie_id AND ci.person_id = an.person_id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND n.gender = 'f' AND it.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND n.id = ci.person_id AND ci.role_id = rt.id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND an.person_id = n.id AND chn.id = ci.person_role_id AND rt.role = 'actress' | job |
SELECT AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost), AVG(ss_quantity), AVG(ss_ext_sales_price) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ca_state IN ('TX', 'WA', 'FL') AND d_year = 1999 AND ca_country = 'United States' 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 ( (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 s_market_id = 4 | tpcds |
Select Avg(ss_sales_price) As agg4, Avg(ss_coupon_amt) As agg3, i_item_id, Avg(ss_list_price) As agg2, Avg(ss_quantity) As agg1 From store_sales Inner Join customer_demographics On ss_cdemo_sk = cd_demo_sk Inner Join date_dim On ss_sold_date_sk = d_date_sk Inner Join item On ss_item_sk = i_item_sk Inner Join promotion On ss_promo_sk = p_promo_sk Where cd_gender = 'F' And cd_marital_status = 'W' And cd_education_status = 'Advanced Degree' And (p_channel_email = 'N' Or p_channel_event = 'N') And d_year = 2000 Group By i_item_id Order By i_item_id Limit 100; | tpcds |
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, c_first_name AS customer_first_name, d_year AS dyear, c_birth_country AS customer_birth_country, 's' AS sale_type, c_customer_id AS customer_id, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_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 i_brand_id AS brand_id, i_manufact, SUM(ss_ext_sales_price) AS ext_price, i_manufact_id, i_brand AS brand 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 substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND d_year = 1999 AND i_manager_id = 3 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 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_vehicle_count > 0 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') AND d_dom BETWEEN 1 AND 2 AND d_year IN (1999, 2000, 2003) GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt ASC LIMIT 1000; | tpcds |
SELECT 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 mc.note LIKE '%(USA)%' AND mi.note LIKE '%internet%' AND lt.id = ml.link_type_id AND ml.movie_id = mk.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND k.id = mk.keyword_id AND cn.country_code = '[us]' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ml.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id AND t.id = ml.movie_id AND it.info = 'release dates' AND mi.movie_id = t.id AND mi.info LIKE 'USA:% 199%' AND ml.movie_id = mi.movie_id AND lt.link LIKE '%follow%' AND t.production_year > 1950 AND mk.movie_id = mc.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND cn.id = mc.company_id LIMIT 20; | job |
SELECT l_returnflag, l_linestatus, SUM(l_extendedprice) AS sum_base_price, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_quantity) AS avg_qty, 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 | tpch |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE ps_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey AND s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT cust_nation, l_year, supp_nation, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE o_orderkey = l_orderkey AND c_nationkey = n2.n_nationkey AND s_nationkey = n1.n_nationkey AND c_custkey = o_custkey 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 GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
With _q As ( Select s_store_name, Sum(ss_net_profit) 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 ( Select ca_zip From ( Select SUBSTR(ca_zip, 1, 5) As ca_zip From customer_address Where SUBSTR(ca_zip, 1, 5) In ( '57295', '12944', '10815', '49116', '76068' ) ) As v1 ) As v2 On SUBSTR(s_zip, 1, 5) = v2.ca_zip Where d_qoy = 2 And d_year = 1998 Group By s_store_name Order By s_store_name Limit 100 ) Select * From _q; | tpcds |
SELECT MIN(n.name) AS actor_name, MIN(k.keyword) AS movie_keyword, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE ci.movie_id = mk.movie_id AND t.production_year > 2010 AND t.id = ci.movie_id AND n.id = ci.person_id AND t.id = mk.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND k.id = mk.keyword_id AND k.keyword = 'marvel-cinematic-universe' | job |
SELECT list_price, c_last_name, c_first_name, bought_city, extended_tax, ss_ticket_number, ca_city, extended_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 (hd_dep_count = 5 OR hd_vehicle_count = 2) AND d_dow = ANY(ARRAY[6, 0]) AND d_year IN (2001, 2001, 2001) AND s_city IN ('Clinton', 'Glendale') 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; | tpcds |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE t.id = ci.movie_id AND ci.note LIKE '%(voice)%' AND ci.note LIKE '%(uncredited)%' AND ct.id = mc.company_type_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND t.id = mc.movie_id AND cn.id = mc.company_id AND rt.role = 'actor' AND ci.movie_id = mc.movie_id AND cn.country_code = '[ru]' AND t.production_year > 2005 | job |
SELECT ps_partkey, SUM(ps_supplycost * ps_availqty) AS VALUE FROM partsupp, supplier, nation WHERE n_name = 1 AND s_nationkey = n_nationkey AND ps_suppkey = s_suppkey GROUP BY ps_partkey HAVING SUM(ps_supplycost * ps_availqty) > ( SELECT SUM(ps_supplycost * ps_availqty) * 1 FROM partsupp, supplier, nation WHERE ps_suppkey = s_suppkey AND s_nationkey = n_nationkey AND n_name = 1 ) ORDER BY VALUE DESC LIMIT 20; | tpch |
SELECT MAX(cs_net_profit) AS catalog_sales_profit, MAX(ss_net_profit) AS store_sales_profit, MAX(sr_net_loss) AS store_returns_loss, i_item_id, i_item_desc, s_store_id, s_store_name FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d3.d_year = 2002 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d1.d_moy BETWEEN 2 AND 8 AND d1.d_year = 2002 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 2 AND 8 + 3 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name; | tpcds |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where t.id = mi.movie_id AND t.production_year > 2000 AND mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND k.keyword like '%sequel%' AND t.id = mk.movie_id LIMIT 10; | job |
SELECT MIN(t.title) AS movie_title, MIN(mi_idx.info) AS rating FROM info_type AS it, movie_info_idx AS mi_idx, title AS t WHERE it.id = mi_idx.info_type_id AND mi_idx.info > '8.0' AND t.id = mi_idx.movie_id AND t.production_year BETWEEN 2000 AND 2005 AND it.info ='rating' LIMIT 100; | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND n.id = ci.person_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND k.id = mk.keyword_id AND n.name LIKE '%Hemsworth%Chris%' | job |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, badges as b, users as u where p.Score <= 40 and pl.LinkTypeId = 1 and p.Id = v.PostId and b.UserId = u.Id and p.Id = pl.RelatedPostId and c.UserId = u.Id and p.Id = c.PostId and p.Id = ph.PostId | stats |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE it2.info = 'release dates' AND it.id = miidx.info_type_id AND cn.country_code = '[de]' AND miidx.movie_id = mc.movie_id AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND mc.movie_id = t.id AND it2.id = mi.info_type_id AND miidx.movie_id = t.id AND ct.id = mc.company_type_id AND mi.movie_id = miidx.movie_id AND kt.kind = 'movie' AND it.info = 'rating' AND kt.id = t.kind_id AND mi.movie_id = t.id AND ct.kind = 'production companies' | job |
SELECT c_phone, c_acctbal, c_comment, n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_address, c_name, c_custkey FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue ASC LIMIT 20 | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND it.info = 'top 250 rank' AND t.id = mc.movie_id 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)%' AND ct.id = mc.company_type_id AND ct.kind = 'production companies' | job |
SELECT s_suppkey, s_name, s_address, total_revenue, s_phone FROM supplier, revenue0 WHERE total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) AND s_suppkey = supplier_no ORDER BY s_suppkey | tpch |
SELECT i_item_desc, MIN(cs_net_profit) AS catalog_sales_profit, s_store_name, MIN(ss_net_profit) AS store_sales_profit, s_store_id, MIN(sr_net_loss) AS store_returns_loss, i_item_id FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d3.d_year = 2002 AND d3.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2002 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d1.d_moy BETWEEN 2 AND 8 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
Select Max(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where t.id = mk.movie_id And t.production_year > 2000 And k.keyword Like '%sequel%' And t.id = mi.movie_id And mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') And k.id = mk.keyword_id And mk.movie_id = mi.movie_id | job |
SELECT bought_city, c_first_name, list_price, extended_price, extended_tax, ss_ticket_number, c_last_name, 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 d_year IN (2001, 2000, 2001) AND (hd_dep_count = 4 OR hd_vehicle_count = 4) AND s_city IN ('Clinton', 'Glendale') AND d_dow IN (6, 0) GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE o_orderstatus = 'F' AND l1.l_receiptdate > l1.l_commitdate AND s_suppkey = l1.l_suppkey 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 n_name = 1 AND s_nationkey = n_nationkey 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(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.id = mk.keyword_id AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German']) AND k.keyword LIKE '%sequel%' AND t.production_year > 2005 AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id | job |
select s_address, p_partkey, s_comment, p_mfgr, s_name, s_phone, n_name, s_acctbal 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(ss_quantity) AS store_sales_quantityave, i_item_desc, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, s_state, i_item_id, AVG(cs_quantity) AS catalog_sales_quantityave, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov FROM store_sales INNER JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number INNER JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk INNER JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk INNER JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk INNER JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '1999Q2' AND d2.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') AND d3.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND mk.movie_id = mi.movie_id AND k.keyword Like '%sequel%' AND k.id = mk.keyword_id AND t.id = mi.movie_id AND t.production_year > 2005 AND t.id = mk.movie_id | job |
SELECT AVG(l_extendedprice) AS avg_price, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_quantity) AS sum_qty, l_returnflag, l_linestatus, AVG(l_discount) AS avg_disc, SUM(l_extendedprice) AS sum_base_price, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT 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 = v.PostId AND p.Id = c.PostId AND p.Id = pl.PostId AND p.AnswerCount >= 0 AND p.PostTypeId = 1 LIMIT 100; | stats |
select l_orderkey, sum(l_extendedprice * (1 - l_discount)) as revenue, o_orderdate, o_shippriority from customer, orders, lineitem where o_orderdate < DATE 1 and c_custkey = o_custkey and l_orderkey = o_orderkey and c_mktsegment = 1 and l_shipdate > DATE 1 group by l_orderkey, o_orderdate, o_shippriority order by revenue desc, o_orderdate limit 10 | tpch |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE c_custkey = o_custkey AND s_nationkey = n1.n_nationkey AND o_orderkey = l_orderkey AND c_nationkey = n2.n_nationkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND s_suppkey = l_suppkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE o_orderkey = l_orderkey AND p_name LIKE 1 ) AS profit AND s_nationkey = n_nationkey AND s_suppkey = l_suppkey AND ps_partkey = l_partkey AND ps_suppkey = l_suppkey AND p_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year ASC | 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 mi.movie_id = mc.movie_id AND t.production_year > 2008 AND it1.id = mi.info_type_id AND t.id = mi.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND k.id = mk.keyword_id AND it1.info = 'countries' AND mi.movie_id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND cn.country_code != '[us]' AND mk.movie_id = mc.movie_id AND it2.id = mi_idx.info_type_id AND t.id = mc.movie_id AND it2.info = 'rating' AND mc.note NOT LIKE '%(USA)%' AND kt.id = t.kind_id AND mi_idx.info < '7.0' AND mk.movie_id = mi.movie_id AND t.id = mi_idx.movie_id AND cn.id = mc.company_id AND mc.movie_id = mi_idx.movie_id AND mk.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND mc.note LIKE '%(200%)%' AND kt.kind IN ('movie', 'episode') AND t.id = mk.movie_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 mi.movie_id = mc.movie_id AND it.info = 'release dates' AND ci.role_id = rt.id AND t.production_year > 2000 AND cn.country_code = '[us]' AND mc.note LIKE '%(USA)%' AND chn.id = ci.person_role_id AND it.id = mi.info_type_id AND ci.person_id = an.person_id AND an.person_id = n.id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND n.gender = 'f' AND t.id = mi.movie_id AND n.id = ci.person_id AND mi.movie_id = ci.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND cn.id = mc.company_id AND rt.role = 'actress' | job |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE s_nationkey = n_nationkey AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND ps_partkey = l_partkey AND p_partkey = l_partkey AND s_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year DESC LIMIT 20; | tpch |
Select Sum(l_extendedprice * (1 - l_discount)) As revenue, o_shippriority, l_orderkey, o_orderdate From customer, orders, lineitem Where l_orderkey = o_orderkey AND c_mktsegment = 1 AND o_orderdate < DATE 1 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 o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND r_name = 1 AND l_orderkey = o_orderkey AND s_nationkey = n2.n_nationkey AND n1.n_regionkey = r_regionkey AND s_suppkey = l_suppkey AND c_nationkey = n1.n_nationkey AND o_custkey = c_custkey AND p_partkey = l_partkey AND p_type = 1 ) AS all_nations GROUP BY o_year ORDER BY o_year LIMIT 200; | 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 mk.keyword_id = k.id AND cn.id = mc.company_id AND k.keyword ='character-name-in-title' AND mc.movie_id = t.id AND mc.movie_id = mk.movie_id AND cn.country_code ='[nl]' | job |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE s_suppkey = l_suppkey AND c_nationkey = n1.n_nationkey AND p_partkey = l_partkey AND r_name = 1 AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_nationkey = n2.n_nationkey AND n1.n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND o_custkey = c_custkey AND p_type = 1 ) AS all_nations GROUP BY o_year ORDER BY o_year | 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 k.keyword ='character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND cn.country_code ='[sm]' LIMIT 20; | 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 > 2005 AND k.keyword LIKE '%sequel%' AND t.id = mk.movie_id AND k.id = mk.keyword_id AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') | job |
SELECT n_name, s_comment, s_name, s_phone, p_partkey, p_mfgr, s_address, s_acctbal 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 ASC, n_name, s_name, p_partkey LIMIT 100 | tpch |
select avg(ss_quantity), avg(ss_ext_sales_price), avg(ss_ext_wholesale_cost), sum(ss_ext_wholesale_cost) from store_sales join store on s_store_sk = ss_store_sk join customer_demographics on cd_demo_sk = ss_cdemo_sk join household_demographics on hd_demo_sk = ss_hdemo_sk join customer_address on ca_address_sk = ss_addr_sk join date_dim on d_date_sk = ss_sold_date_sk where 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 s_market_id = 9 AND ( (hd_dep_count = 2 and hd_vehicle_count <= 3) or (hd_dep_count = 4 and hd_vehicle_count <= 3) or (hd_dep_count = 5 and hd_vehicle_count <= 5) ) AND ca_state in ('TX', 'GA', 'NC') | tpcds |
SELECT 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, l_shipmode 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 500; | tpch |
select p_brand, p_type, p_size, count(distinct ps_suppkey) as supplier_cnt from partsupp, part where p_type not like 1 AND ps_suppkey not in ( select s_suppkey from supplier where s_comment like '%Customer%Complaints%' ) AND p_brand != 1 AND p_size in (1, 1, 1, 1, 1, 1, 1, 1) AND p_partkey = ps_partkey group by p_brand, p_type, p_size order by supplier_cnt asc, p_brand, p_type, p_size | tpch |
SELECT l_returnflag, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_extendedprice) AS sum_base_price, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_extendedprice) AS avg_price, AVG(l_quantity) AS avg_qty, AVG(l_discount) AS avg_disc, l_linestatus, 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 | tpch |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE o_orderkey = l_orderkey AND c_nationkey = n2.n_nationkey AND c_custkey = o_custkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_suppkey = l_suppkey AND s_nationkey = n1.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT AVG(sr_return_quantity) AS store_returns_quantityave, COUNT(sr_return_quantity) AS store_returns_quantitycount, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, i_item_id, s_state, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, i_item_desc 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(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND n1.name NOT LIKE '%Yu%' AND rt.role = 'actress' AND an1.person_id = n1.id AND t.id = mc.movie_id AND cn.country_code = '[jp]' AND ci.role_id = rt.id AND mc.company_id = cn.id AND n1.name LIKE '%Yo%' AND an1.person_id = ci.person_id AND mc.note LIKE '%(Japan)%' AND mc.note NOT LIKE '%(USA)%' AND ci.movie_id = mc.movie_id AND ci.movie_id = t.id AND n1.id = ci.person_id | job |
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 u.Id = b.UserId and b.UserId = ph.UserId | stats |
WITH year_total AS ( SELECT c_first_name AS customer_first_name, d_year AS dyear, c_birth_country AS customer_birth_country, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_last_name AS customer_last_name, 's' AS sale_type, c_preferred_cust_flag AS customer_preferred_cust_flag, c_login AS customer_login, c_email_address AS customer_email_address, c_customer_id AS customer_id 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; | tpcds |
SELECT i_item_desc, s_store_name, i_item_id, MAX(ss_net_profit) AS store_sales_profit, MAX(cs_net_profit) AS catalog_sales_profit, s_store_id, MAX(sr_net_loss) AS store_returns_loss 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; | tpcds |
Select Min(mi_idx.info) As rating, Min(t.title) As movie_title From info_type As it, movie_info_idx As mi_idx, title As t Where t.id = mi_idx.movie_id And mi_idx.info > '8.0' And it.info ='rating' And it.id = mi_idx.info_type_id And t.production_year >= 2000 And t.production_year <= 2005 | 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 ci.person_id = an.person_id AND n.gender = 'f' AND t.id = mc.movie_id AND mi.movie_id = mc.movie_id AND mc.note like '%(USA)%' AND ci.note in ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND cn.country_code = '[us]' AND it.id = mi.info_type_id AND chn.id = ci.person_role_id AND t.production_year > 2000 AND rt.role = 'actress' AND n.id = ci.person_id AND t.id = ci.movie_id AND an.person_id = n.id AND t.id = mi.movie_id AND ci.role_id = rt.id AND mi.movie_id = ci.movie_id AND ci.movie_id = mc.movie_id AND it.info = 'release dates' AND cn.id = mc.company_id | job |
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 ca_state IN ('TX', 'GA', 'NC') AND ( (hd_dep_count = 2 AND hd_vehicle_count <= 3) OR (hd_dep_count = 4 AND hd_vehicle_count <= 3) OR (hd_dep_count = 5 AND hd_vehicle_count <= 5) ) AND d_year = 2001 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 s_market_id = 9 LIMIT 200; | tpcds |
SELECT cnt, c_salutation, c_last_name, ss_ticket_number, c_first_name, c_preferred_cust_flag 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_vehicle_count > 0 AND s_county IN ('Franklin County', 'Jefferson County', 'Oglethorpe County', 'Maricopa County') AND d_year IN (2001, 2000, 2003) AND d_dom BETWEEN 1 AND 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt ASC LIMIT 1000; | tpcds |
SELECT 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 LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND it.id = mi_idx.info_type_id AND it.info = 'top 250 rank' AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi_idx.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 = ANY(ARRAY[1, 1]) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate AND l_shipdate < l_commitdate GROUP BY l_shipmode ORDER BY l_shipmode | 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 ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.movie_id = mi.movie_id AND it.id = mi.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND t.id = mi.movie_id AND it.info = 'bottom 10 rank' | 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 t.id = mk.movie_id AND cn.country_code ='[nl]' AND k.keyword ='character-name-IN-title' AND mc.movie_id = t.id AND cn.id = mc.company_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id LIMIT 100; | 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 it2.id = mi.info_type_id AND it2.info = 'release dates' AND it1.id = mi_idx.info_type_id AND t.id = mi.movie_id AND t.id = at.movie_id AND mi_idx.info < '3.5' AND t.id = mc.movie_id AND at.movie_id = mi.movie_id AND mi.movie_id = mi_idx.movie_id AND at.movie_id = mc.movie_id AND kt.id = t.kind_id AND at.movie_id = mi_idx.movie_id AND it1.info = 'rating' AND kt.kind = 'movie' AND mi.info LIKE 'USA:%200%' AND cn.country_code = '[us]' AND t.id = mi_idx.movie_id AND cn.id = mc.company_id AND at.title LIKE '%Champion%' AND t.production_year > 2000 AND mi_idx.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id | job |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.id = mc.company_id AND ci.role_id = rt.id AND ci.movie_id = mc.movie_id AND cn.country_code = '[jp]' AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND k.id = mk.keyword_id AND n.id = ci.person_id AND mk.movie_id = ci.movie_id AND t.id = ci.movie_id AND an.person_id = n.id AND n.gender = 'f' AND ci.note LIKE '%(voice: English version)%' AND t.id = mc.movie_id AND k.keyword = 'anime' AND ci.person_id = an.person_id AND ct.id = mc.company_type_id AND t.production_year > 1990 AND mc.note LIKE '%(Japan)%' AND rt.role = 'actress' | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE u.Id = p.OwnerUserId AND p.Id = v.PostId AND p.Id = ph.PostId AND p.Id = c.PostId AND p.AnswerCount >= 0 AND p.PostTypeId = 1 AND p.Id = pl.PostId | stats |
SELECT cntrycode, COUNT(DISTINCT cntrycode) AS numcust, SUM(c_acctbal) AS totacctbal FROM ( SELECT SUBSTRING(c_phone FROM 1 FOR 2) AS cntrycode, c_acctbal FROM customer WHERE NOT EXISTS ( SELECT * FROM orders WHERE o_custkey = c_custkey ) ) AS custsale AND c_acctbal > ( SELECT AVG(c_acctbal) FROM customer WHERE c_acctbal > 0.00 AND SUBSTRING(c_phone FROM 1 FOR 2) IN (1, 1, 1, 1, 1, 1, 1) ) AND SUBSTRING(c_phone FROM 1 FOR 2) IN (1, 1, 1, 1, 1, 1, 1) GROUP BY cntrycode ORDER BY cntrycode | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, votes AS v WHERE p.Score >= -3 AND c.CreationDate >= '2010-08-02 23:52:10'::timestamp AND p.Id = c.PostId AND v.VoteTypeId = 2 AND c.PostId = pl.PostId AND pl.PostId = v.PostId LIMIT 100; | stats |
SELECT MAX(ss_net_profit) AS store_sales_profit, MAX(sr_net_loss) AS store_returns_loss, i_item_id, i_item_desc, s_store_id, MAX(cs_net_profit) AS catalog_sales_profit, s_store_name FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 3 AND 7 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 3 AND 7 + 3 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 3 AND 7 + 3 AND d3.d_year = 2002 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT MIN(t.production_year) AS movie_year, MIN(t.title) AS movie_title, MIN(mc.note) AS production_note 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 = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' | job |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE ct.id = mc.company_type_id AND mk.movie_id = mc.movie_id AND kt.id = t.kind_id AND mc.note NOT LIKE '%(USA)%' AND t.production_year > 2008 AND t.id = mc.movie_id AND t.id = mi.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mc.note LIKE '%(200%)%' AND mi_idx.info < '7.0' AND mk.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mi.movie_id = mc.movie_id AND cn.country_code != '[us]' AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND it1.id = mi.info_type_id AND mc.movie_id = mi_idx.movie_id AND cn.id = mc.company_id AND it2.info = 'rating' AND it1.info = 'countries' AND kt.kind IN ('movie', 'episode') AND k.id = mk.keyword_id AND mi.movie_id = mi_idx.movie_id AND it2.id = mi_idx.info_type_id AND mk.movie_id = mi.movie_id | job |
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