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SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND o_orderkey = l1.l_orderkey AND l1.l_receiptdate > l1.l_commitdate AND o_orderstatus = 'F' 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 s_suppkey = l1.l_suppkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | 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 s_nationkey = n_nationkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND l_suppkey = s_suppkey AND c_custkey = o_custkey AND c_nationkey = s_nationkey AND r_name = 1 AND o_orderdate < DATE 1 + INTERVAL '1' YEAR GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE c.Score = 0 AND p.FavoriteCount >= 0 AND pl.LinkTypeId = 1 AND p.Id = ph.PostId AND p.Id = c.PostId AND p.Id = v.PostId AND p.Id = pl.PostId | stats |
Select Min(an.name) As cool_actor_pseudonym, Min(t.title) As series_named_after_char From aka_name As an, cast_info As ci, company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, name As n, title As t Where n.id = ci.person_id AND t.id = mk.movie_id AND k.keyword = 'character-name-In-title' AND mk.keyword_id = k.id AND ci.movie_id = t.id AND cn.country_code = '[us]' AND an.person_id = ci.person_id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = n.id AND ci.movie_id = mk.movie_id AND t.episode_nr < 100 AND t.episode_nr >= 50 AND mc.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id | job |
Select o_orderdate, c_name, o_orderkey, o_totalprice, Sum(l_quantity), c_custkey From customer, orders, lineitem Where o_orderkey In ( Select l_orderkey From lineitem Group By l_orderkey Having Sum(l_quantity) > 1 ) And c_custkey = o_custkey And o_orderkey = l_orderkey Group By c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice Order By o_totalprice Asc, o_orderdate Limit 100 | tpch |
SELECT MAX(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 mk.movie_id = mi.movie_id AND t.production_year > 2010 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND k.keyword LIKE '%sequel%' LIMIT 10; | job |
select i_item_id, avg(cs_quantity) as agg1, avg(cs_list_price) as agg2, avg(cs_coupon_amt) as agg3, avg(cs_sales_price) as agg4 from catalog_sales join customer_demographics on cs_bill_cdemo_sk = cd_demo_sk join date_dim on cs_sold_date_sk = d_date_sk join item on cs_item_sk = i_item_sk join promotion on cs_promo_sk = p_promo_sk where cd_education_status = '2 yr Degree' AND d_year = 1999 AND (p_channel_email = 'N' or p_channel_event = 'N') AND cd_marital_status = 'S' AND cd_gender = 'M' group by i_item_id order by i_item_id limit 100; | tpcds |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND mk.keyword_id = k.id AND mc.company_id = cn.id AND t.episode_nr < 100 AND an.person_id = ci.person_id AND mc.movie_id = mk.movie_id AND t.id = mc.movie_id AND t.id = mk.movie_id AND n.id = ci.person_id AND ci.movie_id = t.id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND an.person_id = n.id AND k.keyword = 'character-name-in-title' AND t.episode_nr >= 50 | job |
SELECT MAX(an1.name) AS actress_pseudonym, MAX(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE n1.name LIKE '%Yo%' AND ci.movie_id = t.id AND n1.id = ci.person_id AND an1.person_id = n1.id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an1.person_id = ci.person_id AND n1.name NOT LIKE '%Yu%' AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND rt.role = 'actress' AND mc.note LIKE '%(Japan)%' | 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.movie_id = mi.movie_id AND it.info = 'bottom 10 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi.movie_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' | job |
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 ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' | 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_before, sum(case when (CAST(d_date as DATE) >= CAST('2000-03-11' as DATE)) then cs_sales_price - COALESCE(cr_refunded_cash, 0) else 0 end) as sales_after, i_item_id from catalog_sales left join catalog_returns on cs_order_number = cr_order_number and cs_item_sk = cr_item_sk join warehouse on cs_warehouse_sk = w_warehouse_sk join item on i_item_sk = cs_item_sk join date_dim on cs_sold_date_sk = d_date_sk where i_current_price >= 89.17 AND i_current_price <= 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 limit 100; | tpcds |
Select i_item_id, Avg(ss_quantity) As agg1, Avg(ss_list_price) As agg2, Avg(ss_coupon_amt) As agg3, Avg(ss_sales_price) As agg4 From store_sales 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_marital_status = 'D' AND cd_gender = 'M' AND (p_channel_email = 'N' Or p_channel_event = 'N') AND cd_education_status = '4 yr Degree' AND d_year = 2002 Group By i_item_id Order By i_item_id Limit 100; | tpcds |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE 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_nationkey = n_nationkey AND p_type LIKE 1 AND p_size = 1 AND s_suppkey = ps_suppkey 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(t.title) As movie_title From company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, title As t Where k.keyword ='character-name-In-title' And cn.country_code ='[sm]' And mc.movie_id = mk.movie_id And mc.movie_id = t.id And t.id = mk.movie_id And mk.keyword_id = k.id And cn.id = mc.company_id | job |
SELECT AVG(ss_coupon_amt) AS agg3, AVG(ss_sales_price) AS agg4, i_item_id, AVG(ss_list_price) AS agg2, AVG(ss_quantity) AS agg1 FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'F' AND d_year = 2000 AND cd_education_status = 'Secondary' AND cd_marital_status = 'W' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE c_nationkey = s_nationkey AND o_orderdate >= DATE 1 AND c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND r_name = 1 AND l_suppkey = s_suppkey AND s_nationkey = n_nationkey AND l_orderkey = o_orderkey AND n_regionkey = r_regionkey GROUP BY n_name ORDER BY revenue ASC | tpch |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.37 AND hd_vehicle_count > 0 AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND d_year IN (2001, 2002, 2003) AND s_county IN ('Bronz County', 'Barrow County', 'Jackson County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt ASC LIMIT 100; | tpcds |
SELECT c_acctbal, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_phone, n_name, c_comment, c_name, c_custkey, c_address FROM customer, orders, lineitem, nation WHERE o_orderdate >= DATE 1 AND l_orderkey = o_orderkey AND c_nationkey = n_nationkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH 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_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 ( (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 ca_state In ('TX', 'GA', 'NC') And d_year = 2001 And s_market_id = 9 And ca_country = 'United States' | 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.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND n.name Like '%Downey%Robert%' AND n.id = ci.person_id AND t.production_year > 2010 | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.id = mk.keyword_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2010 AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id | job |
SELECT s_suppkey, s_name, s_address, s_phone, total_revenue FROM supplier, revenue0 WHERE total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) AND s_suppkey = supplier_no ORDER BY s_suppkey LIMIT 50; | tpch |
SELECT c_last_name, cnt, c_salutation, ss_ticket_number, c_preferred_cust_flag, c_first_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') AND hd_vehicle_count > 0 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND d_dom BETWEEN 1 AND 2 AND d_year = ANY(ARRAY[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 |
WITH _q AS ( SELECT i_brand_id AS brand_id, i_brand AS brand, i_manufact_id, i_manufact, SUM(ss_ext_sales_price) AS ext_price FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE substr(ca_zip, 1, 5) != substr(s_zip, 1, 5) AND d_moy = 11 AND i_manager_id = 12 AND d_year = 1999 GROUP BY i_brand, i_brand_id, i_manufact_id, i_manufact ORDER BY ext_price DESC, brand, brand_id, i_manufact_id, i_manufact LIMIT 100 ) SELECT * FROM _q; | tpcds |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE lt.id = ml.link_type_id AND t.id = ml.movie_id AND ml.movie_id = mc.movie_id AND it.id = mi.info_type_id AND ml.movie_id = mk.movie_id AND mc.note LIKE '%(USA)%' AND ct.id = mc.company_type_id AND mk.movie_id = mc.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND cn.country_code = '[us]' AND mi.note LIKE '%internet%' AND mi.info LIKE 'USA:% 199%' AND it.info = 'release dates' AND t.production_year > 1950 AND mi.movie_id = t.id AND t.id = mk.movie_id AND lt.link LIKE '%follow%' AND k.id = mk.keyword_id AND cn.id = mc.company_id AND t.id = mc.movie_id AND ml.movie_id = mi.movie_id | job |
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 NOT LIKE '%(USA)%' AND ci.movie_id = t.id AND rt.role = 'actress' AND an1.person_id = n1.id AND ci.role_id = rt.id AND an1.person_id = ci.person_id AND ci.note = '(voice: English version)' AND t.id = mc.movie_id AND n1.name LIKE '%Yo%' AND n1.name NOT LIKE '%Yu%' AND n1.id = ci.person_id AND ci.movie_id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND cn.country_code = '[jp]' AND mc.company_id = cn.id | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.production_year > 2010 AND t.id = ci.movie_id AND n.name LIKE '%Downey%Robert%' AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND n.id = ci.person_id | job |
SELECT c_first_name, c_preferred_cust_flag, cnt, ss_ticket_number, c_last_name, c_salutation FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_dom BETWEEN 1 AND 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND d_year IN (2001, 2001, 2001) AND s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE chn.id = ci.person_role_id AND ci.note LIKE '%(uncredited)%' AND ci.movie_id = mc.movie_id AND rt.role = 'actor' AND ct.id = mc.company_type_id AND rt.id = ci.role_id AND ci.note LIKE '%(voice)%' AND t.production_year > 2005 AND cn.id = mc.company_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND cn.country_code = '[ru]' | 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_nationkey = n2.n_nationkey AND p_partkey = l_partkey AND s_suppkey = l_suppkey AND p_type = 1 ) AS all_nations AND o_custkey = c_custkey AND l_orderkey = o_orderkey AND c_nationkey = n1.n_nationkey AND n1.n_regionkey = r_regionkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND r_name = 1 GROUP BY o_year ORDER BY o_year | tpch |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND s_county IN ('Franklin County', 'Daviess County', 'Jackson County') AND hd_vehicle_count > 0 AND d_year = ANY(ARRAY[2000, 2002, 2001]) AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.57 GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
SELECT MIN(cn.name) AS movie_company, MIN(t.title) AS western_violent_movie, MIN(mi_idx.info) AS rating 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 = mi_idx.movie_id AND kt.kind IN ('movie', 'episode') AND mi_idx.info < '7.0' AND mc.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND it2.info = 'rating' AND t.id = mi_idx.movie_id AND t.id = mi.movie_id AND it2.id = mi_idx.info_type_id AND cn.id = mc.company_id AND mc.note NOT LIKE '%(USA)%' AND mi.movie_id = mc.movie_id AND cn.country_code != '[us]' AND mk.movie_id = mc.movie_id AND k.id = mk.keyword_id AND t.id = mc.movie_id AND it1.info = 'countries' AND it1.id = mi.info_type_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND t.production_year > 2008 AND k.keyword IN ('murder', 'murder-IN-title', 'blood', 'violence') AND mc.note LIKE '%(200%)%' AND ct.id = mc.company_type_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mk.movie_id = mi.movie_id | job |
SELECT i_item_id, AVG(ss_list_price) AS agg2, AVG(ss_coupon_amt) AS agg3, AVG(ss_sales_price) AS agg4, AVG(ss_quantity) AS agg1 FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE cd_gender = 'M' AND cd_marital_status = 'D' AND d_year = 2002 AND cd_education_status = '4 yr Degree' AND (p_channel_email = 'N' OR p_channel_event = 'N') GROUP BY i_item_id ORDER BY i_item_id 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 o_orderkey = l_orderkey AND s_nationkey = n1.n_nationkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) as shipping 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 s_suppkey = l_suppkey AND c_nationkey = n2.n_nationkey group by supp_nation, cust_nation, l_year order by supp_nation, cust_nation, l_year | tpch |
SELECT COUNT(1) FROM comments AS c, postHistory AS ph, votes AS v, users AS u WHERE u.Views >= 0 AND ph.UserId = c.UserId AND u.Id = v.UserId AND v.UserId = ph.UserId AND u.DownVotes >= 0 AND u.UpVotes <= 123 | stats |
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 rt.role = 'actress' AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND t.production_year > 2000 AND mi.movie_id = ci.movie_id AND mc.note LIKE '%(USA)%' AND chn.id = ci.person_role_id AND t.id = mc.movie_id AND it.info = 'release dates' AND t.id = ci.movie_id AND an.person_id = n.id AND ci.person_id = an.person_id AND n.gender = 'f' AND ci.role_id = rt.id AND n.id = ci.person_id AND t.id = mi.movie_id AND it.id = mi.info_type_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND mi.movie_id = mc.movie_id | job |
WITH _q AS ( Select l_shipmode, Sum( Case When o_orderpriority = '1-URGENT' Or o_orderpriority = '2-HIGH' Then 1 Else 0 End ) As high_line_count, Sum( Case When o_orderpriority <> '1-URGENT' And o_orderpriority <> '2-HIGH' Then 1 Else 0 End ) As low_line_count From orders, lineitem Where l_commitdate < l_receiptdate AND o_orderkey = l_orderkey AND l_shipmode In (1, 1) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_receiptdate >= DATE 1 AND l_shipdate < l_commitdate Group By l_shipmode Order By l_shipmode LIMIT 20 ) SELECT * FROM _q; | tpch |
WITH _q AS ( SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE mi_idx.info < '3.5' AND kt.id = t.kind_id AND it1.info = 'rating' AND mi.info LIKE 'USA:%200%' AND at.movie_id = mi.movie_id AND cn.id = mc.company_id AND mi_idx.movie_id = mc.movie_id AND it2.info = 'release dates' AND mi.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND t.production_year > 2000 AND at.title LIKE '%Champion%' AND at.movie_id = mi_idx.movie_id AND it2.id = mi.info_type_id AND t.id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND t.id = mi.movie_id AND it1.id = mi_idx.info_type_id AND at.movie_id = mc.movie_id AND kt.kind = 'movie' AND cn.country_code = '[us]' AND t.id = at.movie_id ) SELECT * FROM _q; | job |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE d_year = 1998 AND ca_gmt_offset = -7 AND i_category = 'Electronics' AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_year = 1998 AND s_gmt_offset = -7 AND i_category = 'Electronics' AND d_moy = 9 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -7 AND d_moy = 9 ) AS all_sales AND s_gmt_offset = -7 ORDER BY promotions, total LIMIT 100; | tpcds |
WITH _q AS ( SELECT item.i_brand AS brand, dt.d_year, SUM(ss_ext_sales_price) AS sum_agg, 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 = 387 AND dt.d_moy = 12 GROUP BY dt.d_year, item.i_brand, item.i_brand_id ORDER BY dt.d_year, sum_agg ASC, brand_id LIMIT 100 ) SELECT * FROM _q; | tpcds |
SELECT MIN(t.title) AS western_violent_movie, MIN(mi_idx.info) AS rating, 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 mi.info IN ('Germany', 'German', 'USA', 'American') AND t.id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND cn.country_code != '[us]' AND t.id = mc.movie_id AND t.id = mk.movie_id AND mc.movie_id = mi_idx.movie_id AND it1.id = mi.info_type_id AND mc.note NOT LIKE '%(USA)%' AND mi.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND mi.movie_id = mc.movie_id AND it2.info = 'rating' AND kt.kind IN ('movie', 'episode') AND it1.info = 'countries' AND k.id = mk.keyword_id AND it2.id = mi_idx.info_type_id AND mi_idx.info < '7.0' AND mc.note LIKE '%(200%)%' AND t.id = mi.movie_id AND mk.movie_id = mc.movie_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND t.production_year > 2008 | job |
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 cn.country_code = '[jp]' AND mc.note LIKE '%(Japan)%' AND mc.note NOT LIKE '%(USA)%' AND an1.person_id = n1.id AND n1.name NOT LIKE '%Yu%' AND ci.note = '(voice: English version)' AND t.id = mc.movie_id AND n1.name LIKE '%Yo%' AND ci.role_id = rt.id AND an1.person_id = ci.person_id AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND ci.movie_id = t.id AND mc.company_id = cn.id AND n1.id = ci.person_id | job |
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 t.id = ci.movie_id AND t.id = mk.movie_id AND n.name LIKE '%Downey%Robert%' AND k.id = mk.keyword_id AND t.production_year > 2010 AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND k.keyword = 'marvel-cinematic-universe' | job |
SELECT AVG(cs_list_price) AS agg2, AVG(cs_sales_price) AS agg4, AVG(cs_quantity) AS agg1, i_item_id, AVG(cs_coupon_amt) AS agg3 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 d_year = 2002 AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = 'Advanced Degree' AND cd_marital_status = 'S' AND cd_gender = 'M' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
select i_item_id, i_item_desc, i_current_price from item join inventory on i_item_sk = inv_item_sk join date_dim on d_date_sk = inv_date_sk join catalog_sales on cs_item_sk = i_item_sk where i_manufact_id in (195, 412, 338, 267) and i_current_price between 100 and 100 + 30 and inv_quantity_on_hand between 100 and 500 and d_date between CAST('2000-05-01' as DATE) and (CAST('2000-05-01' as DATE) + INTERVAL '60 days') group by i_item_id, i_item_desc, i_current_price order by i_item_id limit 100; | tpcds |
SELECT AVG(ss_quantity) AS agg1, AVG(ss_coupon_amt) AS agg3, i_item_id, AVG(ss_sales_price) AS agg4, AVG(ss_list_price) AS agg2 FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_marital_status = 'W' AND cd_education_status = 'Advanced Degree' AND cd_gender = 'F' AND d_year = 2000 GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE mi.movie_id = t.id AND mc.movie_id = t.id AND miidx.movie_id = mc.movie_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND cn.country_code = '[de]' AND it2.id = mi.info_type_id AND ct.kind = 'production companies' AND kt.kind = 'movie' AND ct.id = mc.company_type_id AND it2.info = 'release dates' AND it.info = 'rating' AND kt.id = t.kind_id AND it.id = miidx.info_type_id AND miidx.movie_id = t.id AND cn.id = mc.company_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 t.id = mk.movie_id AND mc.movie_id = t.id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND cn.country_code ='[sm]' AND k.keyword ='character-name-IN-title' | job |
Select Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v, users As u Where p.Id = v.PostId AND u.Id = p.OwnerUserId AND p.Id = pl.PostId AND p.Id = c.PostId AND p.PostTypeId = 1 AND p.Id = ph.PostId AND p.AnswerCount >= 0 | stats |
WITH _q AS ( SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE t.id = mc.movie_id AND t.production_year > 1950 AND it.id = mi.info_type_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mc.note LIKE '%(USA)%' AND t.id = mk.movie_id AND lt.id = ml.link_type_id AND lt.link LIKE '%follow%' AND ml.movie_id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND cn.id = mc.company_id AND ml.movie_id = mk.movie_id AND it.info = 'release dates' AND mi.note LIKE '%internet%' AND ml.movie_id = mi.movie_id AND cn.country_code = '[us]' AND mi.movie_id = t.id AND mi.info LIKE 'USA:% 199%' AND ct.id = mc.company_type_id ) SELECT * FROM _q AND k.id = mk.keyword_id AND t.id = ml.movie_id AND mk.movie_id = mc.movie_id | job |
SELECT MIN(t.title) AS marvel_movie, MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.name LIKE '%Hemsworth%Chris%' AND t.id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND t.production_year > 2010 | job |
SELECT i_item_id, s_store_id, MAX(ss_net_profit) AS store_sales_profit, MAX(sr_net_loss) AS store_returns_loss, s_store_name, i_item_desc, MAX(cs_net_profit) AS catalog_sales_profit FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 5 AND 4 AND d1.d_year = 2000 AND d2.d_moy BETWEEN 5 AND 4 + 3 AND d2.d_year = 2000 AND d3.d_moy BETWEEN 5 AND 4 + 3 AND d3.d_year = 2000 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND n.id = ci.person_id AND n.name LIKE '%Hemsworth%Chris%' AND ci.movie_id = mk.movie_id AND t.production_year > 2010 AND t.id = mk.movie_id AND k.id = mk.keyword_id | job |
select count(*) from comments as c, posts as p, postLinks as pl, votes as v where p.Id = c.PostId AND v.VoteTypeId = 2 AND pl.PostId = v.PostId AND c.CreationDate >= '2010-08-02 23:52:10'::timestamp AND c.PostId = pl.PostId AND p.Score >= -3 | 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 mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'top 250 rank' AND t.id = mc.movie_id | job |
SELECT AVG(l_extendedprice) AS avg_price, l_linestatus, SUM(l_quantity) AS sum_qty, COUNT(*) AS count_order, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice) AS sum_base_price, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_returnflag, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_discount) AS avg_disc 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 item.i_brand_id As brand_id, dt.d_year, item.i_brand As brand, Sum(ss_ext_sales_price) As ext_price 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 dt.d_year = 2002 And item.i_manager_id = 57 Group By dt.d_year, item.i_brand, item.i_brand_id Order By dt.d_year, ext_price Desc, brand_id Limit 100; | tpcds |
SELECT s_phone, s_name, p_partkey, s_acctbal, p_mfgr, s_address, n_name, s_comment FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
Select Min(an.name) As acress_pseudonym, Min(t.title) As japanese_anime_movie From aka_name As an, cast_info As ci, company_name As cn, company_type As ct, keyword As k, movie_companies As mc, movie_keyword As mk, name As n, role_type As rt, title As t Where k.keyword = 'anime' AND rt.role = 'actress' AND ci.person_id = an.person_id AND mk.movie_id = mc.movie_id AND cn.id = mc.company_id AND mc.note Like '%(Japan)%' AND n.gender = 'f' AND t.id = ci.movie_id AND t.production_year > 1990 AND ci.note Like '%(voice: English version)%' AND mc.note Not Like '%(USA)%' AND t.id = mc.movie_id AND ci.role_id = rt.id AND k.id = mk.keyword_id AND n.id = ci.person_id AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND mk.movie_id = ci.movie_id AND cn.country_code = '[jp]' AND t.id = mk.movie_id AND ct.id = mc.company_type_id | job |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND ca_gmt_offset = -7 AND d_moy = 8 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -7 AND s_gmt_offset = -7 AND i_category = 'Music' AND d_moy = 8 ) AS all_sales AND s_gmt_offset = -7 AND d_year = 1998 AND i_category = 'Music' AND d_year = 1998 ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE mk.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND t.production_year > 2008 AND kt.kind IN ('movie', 'episode') AND cn.country_code != '[us]' AND mi_idx.info < '7.0' AND mc.note NOT LIKE '%(USA)%' AND it1.id = mi.info_type_id AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.note LIKE '%(200%)%' AND t.id = mi.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it1.info = 'countries' AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND t.id = mk.movie_id AND kt.id = t.kind_id AND it2.info = 'rating' AND cn.id = mc.company_id AND k.id = mk.keyword_id AND it2.id = mi_idx.info_type_id LIMIT 500; | job |
Select Count(*) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v, badges As b Where p.Id = pl.RelatedPostId And p.Id = v.PostId And p.Id = c.PostId And pl.LinkTypeId = 1 And c.Score = 0 And b.UserId = c.UserId And p.Id = ph.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 ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' AND ct.kind = 'production companies' | job |
Select i_item_id, Avg(ss_quantity) As store_sales_quantityave, Avg(cs_quantity) As catalog_sales_quantityave, Count(cs_quantity) As catalog_sales_quantitycount, Count(sr_return_quantity) As store_returns_quantitycount, STDDEV_SAMP(sr_return_quantity) As store_returns_quantitystdev, STDDEV_SAMP(ss_quantity) / Avg(ss_quantity) As store_sales_quantitycov, STDDEV_SAMP(ss_quantity) As store_sales_quantitystdev, Avg(sr_return_quantity) As store_returns_quantityave, i_item_desc, STDDEV_SAMP(cs_quantity) / Avg(cs_quantity) As catalog_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) / Avg(sr_return_quantity) As store_returns_quantitycov, Count(ss_quantity) As store_sales_quantitycount, s_state From store_sales Join store_returns On ss_customer_sk = sr_customer_sk And ss_item_sk = sr_item_sk And ss_ticket_number = sr_ticket_number Join catalog_sales On sr_customer_sk = cs_bill_customer_sk And sr_item_sk = cs_item_sk Join date_dim As d1 On d1.d_date_sk = ss_sold_date_sk Join date_dim As d2 On sr_returned_date_sk = d2.d_date_sk Join date_dim As d3 On cs_sold_date_sk = d3.d_date_sk Join store On ss_store_sk = s_store_sk Join item On ss_item_sk = i_item_sk Where d2.d_quarter_name In ('1999Q2', '2002Q2', '1999Q3') And d1.d_quarter_name = '1999Q2' 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 COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE pl.LinkTypeId = 1 AND c.UserId = u.Id AND p.Id = pl.RelatedPostId AND b.UserId = u.Id AND p.Id = v.PostId AND p.Score <= 40 AND p.Id = ph.PostId AND p.Id = c.PostId | stats |
SELECT i_item_id, AVG(ss_list_price) AS agg2, AVG(ss_coupon_amt) AS agg3, AVG(ss_quantity) AS agg1, AVG(ss_sales_price) AS agg4 FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = 'Unknown' AND cd_marital_status = 'D' AND cd_gender = 'M' AND d_year = 2002 GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT cust_nation, SUM(volume) AS revenue, l_year, 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 s_nationkey = n1.n_nationkey AND c_custkey = o_custkey AND o_orderkey = l_orderkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND c_nationkey = n2.n_nationkey AND s_suppkey = l_suppkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.id = mk.movie_id AND n.id = ci.person_id AND t.production_year > 2010 AND t.id = ci.movie_id AND k.id = mk.keyword_id AND n.name LIKE '%Hemsworth%Chris%' AND k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.movie_id | job |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE an.person_id = n.id AND mc.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND an.person_id = ci.person_id AND t.id = mc.movie_id AND k.keyword = 'character-name-in-title' AND t.episode_nr < 100 AND n.id = ci.person_id AND t.id = mk.movie_id AND cn.country_code = '[us]' AND mc.company_id = cn.id AND ci.movie_id = mk.movie_id AND ci.movie_id = t.id AND mk.keyword_id = k.id AND t.episode_nr >= 50 | job |
SELECT MAX(ss_net_profit) AS store_sales_profit, i_item_id, s_store_name, MAX(sr_net_loss) AS store_returns_loss, i_item_desc, s_store_id, MAX(cs_net_profit) AS catalog_sales_profit FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 2 AND 8 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 2 AND 8 + 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(cn.name) AS from_company, MIN(t.title) AS western_sequel, MIN(lt.link) AS link_type FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE t.id = mc.movie_id AND ct.id = mc.company_type_id AND t.id = ml.movie_id AND ml.movie_id = mc.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mi.note LIKE '%internet%' AND it.info = 'release dates' AND t.production_year > 1950 AND ml.movie_id = mi.movie_id AND lt.link LIKE '%follow%' AND mi.info LIKE 'USA:% 199%' AND mk.movie_id = mc.movie_id AND mi.movie_id = t.id AND lt.id = ml.link_type_id AND cn.id = mc.company_id AND ml.movie_id = mk.movie_id AND cn.country_code = '[us]' AND k.id = mk.keyword_id AND it.id = mi.info_type_id AND mc.note LIKE '%(USA)%' AND t.id = mk.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT o_orderkey, SUM(l_quantity), c_name, c_custkey, o_orderdate, o_totalprice FROM customer, orders, lineitem WHERE o_orderkey IN ( SELECT l_orderkey FROM lineitem GROUP BY l_orderkey HAVING SUM(l_quantity) > 1 ) AND c_custkey = o_custkey AND o_orderkey = l_orderkey GROUP BY c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice ORDER BY o_totalprice DESC, o_orderdate LIMIT 100 | tpch |
select i_brand_id as brand_id, i_brand as brand, sum(ss_ext_sales_price) as ext_price from date_dim join store_sales on d_date_sk = ss_sold_date_sk join item on ss_item_sk = i_item_sk where i_manager_id = 84 AND d_moy = 11 AND d_year = 2000 group by i_brand, i_brand_id order by ext_price desc, brand_id; | tpcds |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'countries' AND mi.movie_id = mc.movie_id AND mi_idx.info < '7.0' AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mk.movie_id = mi_idx.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND t.id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND mc.note LIKE '%(200%)%' AND cn.country_code != '[us]' AND t.id = mc.movie_id AND kt.kind IN ('movie', 'episode') AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND cn.id = mc.company_id AND mk.movie_id = mi.movie_id AND it2.info = 'rating' AND mk.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND it1.id = mi.info_type_id AND kt.id = t.kind_id AND t.production_year > 2008 | job |
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 t.production_year <= 2010 AND it.info ='rating' AND mi_idx.info > '7.0' AND it.id = mi_idx.info_type_id AND t.production_year >= 2000 | job |
SELECT l_orderkey, o_shippriority, o_orderdate, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND c_mktsegment = 1 AND l_shipdate > DATE 1 AND o_orderdate < DATE 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue ASC, o_orderdate LIMIT 10 | tpch |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, SUM(ss_quantity) AS store_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, SUM(cs_quantity) AS catalog_sales_quantity FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_year = 2000 AND d2.d_moy BETWEEN 10 AND 10 + 3 AND d3.d_year = 2000 AND d3.d_moy BETWEEN 10 AND 10 + 3 AND d1.d_moy = 10 AND d2.d_year = 2000 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where k.id = mk.keyword_id AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German']) AND k.keyword Like '%sequel%' AND t.production_year > 2000 AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id | job |
SELECT c_first_name, extended_tax, c_last_name, ca_city, ss_ticket_number, extended_price, bought_city, 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 (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(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note LIKE '%(uncredited)%' AND t.id = mc.movie_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND t.id = ci.movie_id AND t.production_year > 2005 AND ct.id = mc.company_type_id AND cn.country_code = '[ru]' AND ci.note LIKE '%(voice)%' AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.role = 'actor' | job |
SELECT SUM(sr_return_quantity) AS store_returns_quantity, SUM(ss_quantity) AS store_sales_quantity, SUM(cs_quantity) AS catalog_sales_quantity, i_item_desc, i_item_id, s_store_name, s_store_id FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d3.d_year = 2001 AND d1.d_year = 2001 AND d1.d_moy = 2 AND d3.d_moy BETWEEN 2 AND 2 + 3 AND d2.d_year = 2001 AND d2.d_moy >= 2 AND d2.d_moy <= 2 + 3 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT 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 c_custkey = o_custkey AND l_suppkey = s_suppkey AND c_nationkey = s_nationkey AND o_orderdate >= DATE 1 AND n_regionkey = r_regionkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND s_nationkey = n_nationkey GROUP BY n_name ORDER BY revenue DESC | 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.keyword like '%sequel%' AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.production_year > 2010 AND k.id = mk.keyword_id AND mi.info in ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND mk.movie_id = mi.movie_id limit 200; | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.name LIKE '%Downey%Robert%' AND n.id = ci.person_id AND k.id = mk.keyword_id AND t.id = ci.movie_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id | job |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE t.id = mc.movie_id AND it2.info = 'rating' AND t.production_year > 2008 AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND kt.id = t.kind_id AND mc.note LIKE '%(200%)%' AND mc.movie_id = mi_idx.movie_id AND it1.id = mi.info_type_id AND cn.country_code != '[us]' AND mi_idx.info < '7.0' AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mk.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = mi.movie_id AND kt.kind IN ('movie', 'episode') AND it2.id = mi_idx.info_type_id AND cn.id = mc.company_id AND t.id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND it1.info = 'countries' AND k.id = mk.keyword_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mk.movie_id = mi_idx.movie_id AND t.id = mi.movie_id | job |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND p_partkey = ps_partkey AND 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 p_size = 1 AND r_name = 1 AND p_type LIKE 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2010 AND n.id = ci.person_id AND t.id = mk.movie_id AND t.id = ci.movie_id LIMIT 10; | 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.id = mk.movie_id AND t.id = mi.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND t.production_year > 2005 AND k.keyword Like '%sequel%' AND mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE it2.info = 'release dates' AND t.id = at.movie_id AND t.id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND t.id = mc.movie_id AND t.production_year > 2000 AND it1.id = mi_idx.info_type_id AND mi.movie_id = mi_idx.movie_id AND it2.id = mi.info_type_id AND mi_idx.movie_id = mc.movie_id AND mi.info LIKE 'USA:%200%' AND at.movie_id = mi.movie_id AND kt.id = t.kind_id AND cn.country_code = '[us]' AND mi_idx.info < '3.5' AND cn.id = mc.company_id AND it1.info = 'rating' AND t.id = mi.movie_id AND at.title LIKE '%Champion%' AND at.movie_id = mc.movie_id AND kt.kind = 'movie' AND at.movie_id = mi_idx.movie_id | job |
select min(t.title) as movie_title from company_name as cn, keyword as k, movie_companies as mc, movie_keyword as mk, title as t where cn.country_code ='[sm]' and cn.id = mc.company_id and t.id = mk.movie_id and k.keyword ='character-name-in-title' and mc.movie_id = t.id and mc.movie_id = mk.movie_id and mk.keyword_id = k.id | job |
SELECT STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, COUNT(sr_return_quantity) AS store_returns_quantitycount, COUNT(cs_quantity) AS catalog_sales_quantitycount, i_item_desc, i_item_id, s_state, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(ss_quantity) AS store_sales_quantityave, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, AVG(cs_quantity) AS catalog_sales_quantityave FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '1999Q1' AND d2.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') AND d3.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE t.id = mc.movie_id AND mk.keyword_id = k.id AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND mc.company_id = cn.id AND an.person_id = n.id AND k.keyword = 'character-name-IN-title' AND mc.movie_id = mk.movie_id AND n.id = ci.person_id AND cn.country_code = '[us]' AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = t.id AND t.episode_nr < 100 AND t.episode_nr >= 50 | job |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE t.id = mc.movie_id AND mi.info LIKE 'USA:% 199%' AND it.id = mi.info_type_id AND t.id = ml.movie_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND ml.movie_id = mi.movie_id AND lt.link LIKE '%follow%' AND t.id = mk.movie_id AND cn.id = mc.company_id AND lt.id = ml.link_type_id AND it.info = 'release dates' AND k.id = mk.keyword_id AND cn.country_code = '[us]' AND k.keyword IN ('sequel', 'revenge', 'based-ON-novel') AND ct.id = mc.company_type_id AND mc.note LIKE '%(USA)%' AND mi.movie_id = t.id AND t.production_year > 1950 AND mi.note LIKE '%internet%' AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id | job |
SELECT COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_size, p_brand, p_type FROM partsupp, part WHERE ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_type NOT LIKE 1 AND p_brand <> 1 AND p_partkey = ps_partkey GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT o_orderdate, o_totalprice, c_custkey, o_orderkey, SUM(l_quantity), c_name FROM customer, orders, lineitem WHERE o_orderkey IN ( SELECT l_orderkey FROM lineitem GROUP BY l_orderkey HAVING SUM(l_quantity) > 1 ) AND c_custkey = o_custkey AND o_orderkey = l_orderkey GROUP BY c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice ORDER BY o_totalprice DESC, o_orderdate LIMIT 100 | tpch |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.production_year > 2010 AND t.id = mi.movie_id AND k.id = mk.keyword_id AND k.keyword LIKE '%sequel%' LIMIT 1000; | job |
SELECT MIN(t.title) AS marvel_movie, MIN(n.name) AS actor_name, MIN(k.keyword) AS movie_keyword FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.id = mk.movie_id AND k.id = mk.keyword_id AND n.name LIKE '%Downey%Robert%' AND k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND t.id = ci.movie_id LIMIT 10; | job |
SELECT MIN(t.title) AS voiced_movie, MIN(n.name) AS voicing_actress FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE t.id = ci.movie_id AND it.id = mi.info_type_id AND t.production_year > 2000 AND t.id = mi.movie_id AND cn.country_code = '[us]' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.role_id = rt.id AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND an.person_id = n.id AND mc.note LIKE '%(USA)%' AND chn.id = ci.person_role_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND n.gender = 'f' AND ci.person_id = an.person_id AND t.id = mc.movie_id AND it.info = 'release dates' AND n.id = ci.person_id | job |
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