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SELECT o_orderdate, o_shippriority, l_orderkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem WHERE c_custkey = o_custkey AND l_shipdate > DATE 1 AND c_mktsegment = 1 AND o_orderdate < DATE 1 AND l_orderkey = o_orderkey GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | tpch |
Select i_item_id, i_item_desc, s_store_id, s_store_name, Max(ss_net_profit) As store_sales_profit, Max(sr_net_loss) As store_returns_loss, Max(cs_net_profit) As catalog_sales_profit From store_sales Inner Join store_returns On store_sales.ss_customer_sk = store_returns.sr_customer_sk And store_sales.ss_item_sk = store_returns.sr_item_sk And store_sales.ss_ticket_number = store_returns.sr_ticket_number Inner Join catalog_sales On store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk And store_returns.sr_item_sk = catalog_sales.cs_item_sk Inner Join date_dim As d1 On store_sales.ss_sold_date_sk = d1.d_date_sk Inner Join date_dim As d2 On store_returns.sr_returned_date_sk = d2.d_date_sk Inner Join date_dim As d3 On catalog_sales.cs_sold_date_sk = d3.d_date_sk Inner Join store On store_sales.ss_store_sk = store.s_store_sk Inner Join item On store_sales.ss_item_sk = item.i_item_sk Where d2.d_year = 2001 And d3.d_year = 2001 And d2.d_moy Between 2 And 8 + 3 And d1.d_year = 2001 And d1.d_moy Between 2 And 8 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 Limit 100; | tpcds |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.id = mk.keyword_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND k.keyword LIKE '%sequel%' AND t.production_year > 2010 AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German']) AND mk.movie_id = mi.movie_id | job |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE rt.role = 'actor' AND cn.id = mc.company_id AND ci.note LIKE '%(uncredited)%' AND ci.note LIKE '%(voice)%' AND t.id = ci.movie_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND rt.id = ci.role_id AND ci.movie_id = mc.movie_id AND cn.country_code = '[ru]' AND chn.id = ci.person_role_id AND t.production_year > 2005 | 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 l_orderkey = o_orderkey AND o_custkey = c_custkey AND s_suppkey = l_suppkey AND r_name = 1 AND c_nationkey = n1.n_nationkey AND p_partkey = l_partkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_type = 1 ) AS all_nations AND n1.n_regionkey = r_regionkey AND s_nationkey = n2.n_nationkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE p_size = 1 AND 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_partkey = ps_partkey AND n_regionkey = r_regionkey AND s_suppkey = ps_suppkey 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(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 = mc.movie_id AND mc.note LIKE '%(USA)%' AND mi.movie_id = mc.movie_id AND n.id = ci.person_id AND ci.person_id = an.person_id AND an.person_id = n.id AND mi.movie_id = ci.movie_id AND n.gender = 'f' AND cn.country_code = '[us]' AND it.id = mi.info_type_id AND it.info = 'release dates' AND cn.id = mc.company_id AND t.production_year > 2000 AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND t.id = mi.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND chn.id = ci.person_role_id AND ci.role_id = rt.id AND t.id = ci.movie_id | job |
SELECT i_brand_id AS brand_id, SUM(ss_ext_sales_price) AS ext_price, i_brand AS brand, i_manufact, i_manufact_id FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND i_manager_id = 47 AND d_moy = 12 AND d_year = 1999 GROUP BY i_brand, i_brand_id, i_manufact_id, i_manufact ORDER BY ext_price ASC, brand, brand_id, i_manufact_id, i_manufact LIMIT 100; | 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.link LIKE '%follow%' AND ct.id = mc.company_type_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mc.movie_id AND k.id = mk.keyword_id AND mi.info LIKE 'USA:% 199%' AND lt.id = ml.link_type_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND ml.movie_id = mi.movie_id AND t.id = mk.movie_id AND it.info = 'release dates' AND cn.id = mc.company_id AND ml.movie_id = mk.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.production_year > 1950 AND t.id = ml.movie_id AND cn.country_code = '[us]' AND mc.note LIKE '%(USA)%' AND mi.note LIKE '%internet%' AND it.id = mi.info_type_id AND mi.movie_id = t.id AND t.id = mc.movie_id | job |
SELECT o_totalprice, c_name, o_orderkey, c_custkey, SUM(l_quantity), o_orderdate 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(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'top 250 rank' AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id | job |
select sum(l_extendedprice * (1 - l_discount)) as revenue, n_name from customer, orders, lineitem, supplier, nation, region where o_orderdate >= DATE 1 AND n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND s_nationkey = n_nationkey AND c_nationkey = s_nationkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND r_name = 1 AND c_custkey = o_custkey AND l_suppkey = s_suppkey group by n_name order by revenue desc | tpch |
SELECT c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_comment FROM customer, orders, lineitem, nation WHERE o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND o_orderdate >= DATE 1 AND c_custkey = o_custkey AND c_nationkey = n_nationkey AND l_orderkey = o_orderkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
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 mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND k.keyword LIKE '%sequel%' AND t.production_year > 2010 AND k.id = mk.keyword_id LIMIT 50; | job |
WITH _q AS ( SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.id AND k.keyword ='character-name-in-title' AND cn.country_code ='[sm]' ) SELECT * FROM _q; | 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 it.info ='rating' AND t.production_year >= 2000 AND mi_idx.info > '7.0' AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND t.production_year <= 2010 LIMIT 200; | 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 cn.id = mc.company_id AND kt.kind = 'movie' AND at.title LIKE '%Champion%' AND mi.info LIKE 'USA:%200%' AND kt.id = t.kind_id AND at.movie_id = mi_idx.movie_id AND mi_idx.movie_id = mc.movie_id AND t.id = mc.movie_id AND at.movie_id = mi.movie_id AND t.id = mi.movie_id AND t.production_year > 2000 AND at.movie_id = mc.movie_id AND t.id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND cn.country_code = '[us]' AND it1.info = 'rating' AND mi.movie_id = mi_idx.movie_id AND mi_idx.info < '3.5' AND it1.id = mi_idx.info_type_id AND it2.id = mi.info_type_id AND t.id = at.movie_id AND it2.info = 'release dates' | job |
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 ct.id = mc.company_type_id AND cn.country_code = '[ru]' AND rt.id = ci.role_id AND ci.note LIKE '%(voice)%' AND cn.id = mc.company_id AND rt.role = 'actor' AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND chn.id = ci.person_role_id AND t.production_year > 2005 | 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 p_type = 1 ) AS all_nations AND s_suppkey = l_suppkey AND s_nationkey = n2.n_nationkey AND c_nationkey = n1.n_nationkey AND p_partkey = l_partkey AND n1.n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND o_custkey = c_custkey 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 AVG(l_discount) AS avg_disc, SUM(l_extendedprice) AS sum_base_price, AVG(l_quantity) AS avg_qty, l_linestatus, AVG(l_extendedprice) AS avg_price, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_returnflag, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge 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 s_name, COUNT(1) AS numwait FROM supplier, lineitem l1, orders, nation WHERE o_orderstatus = 'F' AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND n_name = 1 AND l1.l_receiptdate > l1.l_commitdate AND o_orderkey = l1.l_orderkey AND s_suppkey = l1.l_suppkey AND s_nationkey = n_nationkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) 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 where c.Score = 0 AND p.FavoriteCount >= 0 AND p.Id = pl.PostId AND pl.LinkTypeId = 1 AND p.Id = ph.PostId AND p.Id = v.PostId AND p.Id = c.PostId | stats |
WITH year_total AS ( SELECT c_customer_id AS customer_id, d_year AS dyear, c_last_name AS customer_last_name, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, 's' AS sale_type, c_birth_country AS customer_birth_country, c_login AS customer_login, c_preferred_cust_flag AS customer_preferred_cust_flag, c_first_name AS customer_first_name, c_email_address AS customer_email_address FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
select c_count, count(*) as custdist from ( select c_custkey, count(o_orderkey) as c_count from customer LEFT JOIN orders on c_custkey = o_custkey and o_comment not like 1 group by c_custkey ) as c_orders group by c_count order by custdist asc, c_count asc | tpch |
SELECT MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year, 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.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND ct.id = mc.company_type_id | job |
SELECT ss_ticket_number, c_last_name, ca_city, extended_price, bought_city, extended_tax, list_price, c_first_name FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 6 OR hd_vehicle_count = 2) AND d_dow IN (6, 0) AND d_year IN (2001, 2000, 2002) AND s_city IN ('Five Points', 'Springfield') 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_last_name, ss_ticket_number, extended_price, extended_tax, c_first_name, ca_city, list_price, bought_city FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (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 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 s_market_id = 8 AND ( (hd_dep_count = 2 AND hd_vehicle_count <= 4) OR (hd_dep_count = 4 AND hd_vehicle_count <= 5) OR (hd_dep_count = 5 AND hd_vehicle_count <= 6) ) AND ca_state IN ('TX', 'GA', 'FL') AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price >= 90 AND ss_sales_price <= 128) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 81 AND 149) OR (cd_marital_status = 'W' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 138 AND 187) ) AND ca_country = 'United States' AND d_year = 2001 | tpcds |
select sum(l_extendedprice) / 7.0 as avg_yearly from lineitem, part where p_partkey = l_partkey and p_brand = 1 and p_container = 1 and l_quantity < ( select 0.2 * avg(l_quantity) from lineitem where l_partkey = p_partkey ) LIMIT 1000; | tpch |
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 mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND k.keyword = 'character-name-in-title' AND t.id = mc.movie_id AND t.episode_nr < 100 AND t.episode_nr >= 50 AND an.person_id = n.id AND an.person_id = ci.person_id AND mk.keyword_id = k.id AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND ci.movie_id = t.id AND cn.country_code = '[us]' AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id | job |
SELECT MIN(t.title) AS japanese_movie_dubbed, MIN(an1.name) AS actress_pseudonym FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE an1.person_id = ci.person_id AND mc.note LIKE '%(Japan)%' AND cn.country_code = '[jp]' AND mc.note NOT LIKE '%(USA)%' AND ci.movie_id = t.id AND n1.name NOT LIKE '%Yu%' AND t.id = mc.movie_id AND ci.role_id = rt.id AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND an1.person_id = n1.id AND n1.name LIKE '%Yo%' AND n1.id = ci.person_id AND mc.company_id = cn.id AND ci.note = '(voice: English version)' | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = t.id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND k.keyword ='character-name-in-title' AND cn.id = mc.company_id AND mk.keyword_id = k.id AND cn.country_code ='[nl]' | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, votes AS v, users AS u WHERE c.Score = 0 AND p.ViewCount >= 0 AND p.Score >= 0 AND u.Id = v.UserId AND u.Id = c.UserId AND u.Id = p.OwnerUserId LIMIT 200; | stats |
SELECT AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price >= 89 AND ss_sales_price <= 113) OR (cd_marital_status = 'M' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 53 AND 128) OR (cd_marital_status = 'D' AND cd_education_status = 'Advanced Degree' AND ss_sales_price BETWEEN 110 AND 166) ) AND ( (hd_dep_count = 1 AND hd_vehicle_count <= 4) OR (hd_dep_count = 3 AND hd_vehicle_count <= 4) OR (hd_dep_count = 6 AND hd_vehicle_count <= 3) ) AND d_year = 2002 AND ca_country = 'United States' AND ca_state IN ('TX', 'WA', 'FL') AND s_market_id = 8 | tpcds |
SELECT SUM(ss_quantity) AS store_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, s_store_id, i_item_id, i_item_desc, s_store_name, 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_moy = 10 AND d1.d_year = 2000 AND d2.d_moy BETWEEN 10 AND 10 + 3 AND d2.d_year = 2000 AND d3.d_moy BETWEEN 10 AND 10 + 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(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 ci.movie_id = mc.movie_id AND cn.id = mc.company_id AND ci.role_id = rt.id AND cn.country_code = '[jp]' AND rt.role = 'actress' AND an.person_id = n.id AND mk.movie_id = mc.movie_id AND ci.note LIKE '%(voice: English version)%' AND k.id = mk.keyword_id AND k.keyword = 'anime' AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.note LIKE '%(Japan)%' AND ci.person_id = an.person_id AND n.id = ci.person_id AND n.gender = 'f' AND mk.movie_id = ci.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.production_year > 1990 AND t.id = mk.movie_id | job |
SELECT MIN(t.title) AS northamerican_movie, MIN(mi_idx.info) AS rating FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE kt.id = t.kind_id AND t.id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND t.production_year > 2000 AND t.id = at.movie_id AND t.id = mc.movie_id AND at.movie_id = mc.movie_id AND at.title LIKE '%Champion%' AND it2.info = 'release dates' AND mi.info LIKE 'USA:%200%' AND it1.info = 'rating' AND at.movie_id = mi.movie_id AND cn.id = mc.company_id AND t.id = mi.movie_id AND mi.movie_id = mi_idx.movie_id AND it2.id = mi.info_type_id AND it1.id = mi_idx.info_type_id AND mi_idx.movie_id = mc.movie_id AND mi_idx.info < '3.5' AND cn.country_code = '[us]' AND kt.kind = 'movie' | job |
SELECT l_linestatus, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice) AS sum_base_price, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_extendedprice) AS avg_price, l_returnflag, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_discount) AS avg_disc, SUM(l_quantity) AS sum_qty, 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 SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_name, c_comment, n_name, c_phone, c_address, c_custkey, c_acctbal FROM customer, orders, lineitem, nation WHERE l_returnflag = 'R' AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND o_orderdate >= DATE 1 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 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 + INTERVAL '1' YEAR AND o_orderdate >= DATE 1 AND c_custkey = o_custkey AND r_name = 1 AND l_orderkey = o_orderkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND l_suppkey = s_suppkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND n1.id = ci.person_id AND an1.person_id = n1.id AND n1.name NOT LIKE '%Yu%' AND mc.note NOT LIKE '%(USA)%' AND ci.movie_id = t.id AND ci.note = '(voice: English version)' AND n1.name LIKE '%Yo%' AND mc.company_id = cn.id AND mc.note LIKE '%(Japan)%' AND ci.role_id = rt.id AND cn.country_code = '[jp]' AND an1.person_id = ci.person_id LIMIT 100; | 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 rt.role = 'actress' AND t.id = ci.movie_id AND cn.country_code = '[us]' AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND it.id = mi.info_type_id AND mi.movie_id = ci.movie_id AND ci.movie_id = mc.movie_id AND n.gender = 'f' AND t.id = mc.movie_id AND an.person_id = n.id AND t.id = mi.movie_id AND ci.role_id = rt.id AND t.production_year > 2000 AND chn.id = ci.person_role_id AND ci.person_id = an.person_id AND n.id = ci.person_id AND it.info = 'release dates' AND mc.note LIKE '%(USA)%' | job |
SELECT total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100, promotions FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_moy = 5 ) AS all_sales AND ca_gmt_offset = -6 AND d_year = 2002 AND d_moy = 5 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -6 AND i_category = 'Home' AND s_gmt_offset = -6 AND s_gmt_offset = -6 AND d_year = 2002 AND i_category = 'Home' ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT SUM(l_extendedprice) AS sum_base_price, AVG(l_discount) AS avg_disc, AVG(l_quantity) AS avg_qty, SUM(l_quantity) AS sum_qty, AVG(l_extendedprice) AS avg_price, l_linestatus, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_returnflag 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 AVG(cs_quantity) AS agg1, AVG(cs_coupon_amt) AS agg3, AVG(cs_list_price) AS agg2, AVG(cs_sales_price) AS agg4, i_item_id FROM catalog_sales JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk JOIN item ON cs_item_sk = i_item_sk JOIN promotion ON cs_promo_sk = p_promo_sk WHERE cd_education_status = 'Advanced Degree' AND d_year = 1999 AND cd_gender = 'F' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_marital_status = 'S' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
select n_name, sum(l_extendedprice * (1 - l_discount)) as revenue from customer, orders, lineitem, supplier, nation, region where c_custkey = o_custkey and o_orderdate < DATE 1 + INTERVAL '1' YEAR and l_suppkey = s_suppkey and r_name = 1 and n_regionkey = r_regionkey and o_orderdate >= DATE 1 and c_nationkey = s_nationkey and l_orderkey = o_orderkey and s_nationkey = n_nationkey group by n_name order by revenue desc | tpch |
SELECT MIN(miidx.info) AS rating, MIN(t.title) AS german_movie, MIN(mi.info) AS release_date 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 kt.kind = 'movie' AND it.id = miidx.info_type_id AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.id AND miidx.movie_id = t.id AND it2.info = 'release dates' AND ct.id = mc.company_type_id AND kt.id = t.kind_id AND mi.movie_id = t.id AND cn.country_code = '[de]' AND it2.id = mi.info_type_id AND ct.kind = 'production companies' AND miidx.movie_id = mc.movie_id AND it.info = 'rating' AND mi.movie_id = miidx.movie_id | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
SELECT s_store_id, i_item_id, MAX(cs_net_profit) AS catalog_sales_profit, MAX(ss_net_profit) AS store_sales_profit, s_store_name, MAX(sr_net_loss) AS store_returns_loss, i_item_desc FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 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(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 n1.name LIKE '%Yo%' AND t.id = mc.movie_id AND ci.note = '(voice: English version)' AND an1.person_id = n1.id AND cn.country_code = '[jp]' AND rt.role = 'actress' AND n1.name NOT LIKE '%Yu%' AND mc.company_id = cn.id AND an1.person_id = ci.person_id AND mc.note LIKE '%(Japan)%' AND ci.movie_id = mc.movie_id AND ci.role_id = rt.id AND n1.id = ci.person_id | job |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where t.id = mk.movie_id and mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') and t.production_year > 2000 and k.keyword like '%sequel%' and k.id = mk.keyword_id and mk.movie_id = mi.movie_id and t.id = mi.movie_id | job |
SELECT i_brand_id AS brand_id, i_brand AS brand, i_manufact, i_manufact_id, SUM(ss_ext_sales_price) AS ext_price FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE d_moy = 12 AND d_year = 1999 AND i_manager_id = 47 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) GROUP BY i_brand, i_brand_id, i_manufact_id, i_manufact ORDER BY ext_price ASC, brand, brand_id, i_manufact_id, i_manufact LIMIT 100; | tpcds |
SELECT AVG(cs_quantity) AS agg1, i_item_id, AVG(cs_coupon_amt) AS agg3, AVG(cs_sales_price) AS agg4, AVG(cs_list_price) AS agg2 FROM catalog_sales JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk JOIN item ON cs_item_sk = i_item_sk JOIN promotion ON cs_promo_sk = p_promo_sk WHERE cd_gender = 'M' AND cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND d_year = 1999 AND (p_channel_email = 'N' OR p_channel_event = 'N') GROUP BY i_item_id ORDER BY i_item_id 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 cn.country_code = '[ru]' AND ct.id = mc.company_type_id AND ci.note LIKE '%(voice)%' AND t.production_year > 2005 AND cn.id = mc.company_id AND rt.role = 'actor' AND t.id = mc.movie_id AND ci.note LIKE '%(uncredited)%' AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id | job |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl WHERE p.CommentCount <= 18 AND p.CreationDate <= '2014-09-09 01:43:00'::timestamp AND c.UserId = p.OwnerUserId AND p.CreationDate >= '2010-07-23 07:27:31'::timestamp AND p.Id = pl.PostId ) SELECT * FROM _q; | 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 it.info = 'release dates' and ci.role_id = rt.id and ci.note in ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') and t.production_year > 2000 and t.id = mc.movie_id and n.id = ci.person_id and it.id = mi.info_type_id and cn.country_code = '[us]' and an.person_id = n.id and n.gender = 'f' and mi.movie_id = mc.movie_id and t.id = mi.movie_id and mi.movie_id = ci.movie_id and ci.person_id = an.person_id and chn.id = ci.person_role_id and mc.note like '%(USA)%' and cn.id = mc.company_id and t.id = ci.movie_id and ci.movie_id = mc.movie_id and rt.role = 'actress' | job |
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 store_sales On ss_item_sk = i_item_sk Where inv_quantity_on_hand Between 100 And 500 And i_manufact_id In (301, 227, 392, 436) And i_current_price <= 93 + 30 And i_current_price >= 93 And d_date Between CAST('2002-01-23' As DATE) And (CAST('2002-01-23' 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 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 d2.d_moy BETWEEN 3 AND 3 + 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 3 AND 3 + 3 AND d1.d_year = 2001 AND d3.d_year = 2001 AND d1.d_moy = 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 cnt, c_preferred_cust_flag, c_last_name, c_first_name, ss_ticket_number, c_salutation FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE s_county IN ('Williamson County', 'Jefferson County', 'Jackson County', 'Champaign County') AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND d_year IN (1999, 2002, 2001) AND hd_vehicle_count > 0 AND d_dom BETWEEN 1 AND 2 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 count(*) from comments as c, badges as b, users as u where u.UpVotes >= 0 and c.UserId = b.UserId and c.Score = 0 and u.Id = c.UserId limit 200; | stats |
Select COUNT(1) From comments As c, posts As p, postLinks As pl, votes As v Where pl.PostId = v.PostId AND v.VoteTypeId = 2 AND p.Id = c.PostId AND c.PostId = pl.PostId AND p.Score >= -3 AND c.CreationDate >= '2010-08-02 23:52:10'::timestamp | stats |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND s_nationkey = n_nationkey AND s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' AND o_orderkey = l1.l_orderkey AND n_name = 1 AND l1.l_receiptdate > l1.l_commitdate GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | 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_list_price >= 84 AND ss_list_price <= 84 + 10 OR ss_coupon_amt BETWEEN 1190 AND 1190 + 1000 OR ss_wholesale_cost BETWEEN 65 AND 65 + 20) ) AS b3 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_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_quantity BETWEEN 0 AND 5; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND t.id = mi.movie_id AND it.info = 'bottom 10 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND it.id = mi.info_type_id AND ct.kind = 'production companies' | 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 mc.note Like '%(USA)%' And mi.note Like '%internet%' And k.keyword In ('sequel', 'revenge', 'based-On-novel') And it.info = 'release dates' And mi.movie_id = t.id And k.id = mk.keyword_id And t.production_year > 1950 And lt.id = ml.link_type_id And t.id = ml.movie_id And t.id = mc.movie_id And t.id = mk.movie_id And ml.movie_id = mi.movie_id And cn.country_code = '[us]' And lt.link Like '%follow%' And mk.movie_id = mc.movie_id And ml.movie_id = mc.movie_id And it.id = mi.info_type_id And mc.note Not Like '%(As Metro-Goldwyn-Mayer Pictures)%' And ml.movie_id = mk.movie_id And mi.info Like 'USA:% 199%' And cn.id = mc.company_id And ct.id = mc.company_type_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 k.id = mk.keyword_id and t.production_year > 2010 and ci.movie_id = mk.movie_id and t.id = mk.movie_id and n.id = ci.person_id and t.id = ci.movie_id and n.name like '%Downey%Robert%' and k.keyword = 'marvel-cinematic-universe' | job |
SELECT AVG(ss_sales_price) AS agg4, AVG(ss_quantity) AS agg1, AVG(ss_coupon_amt) AS agg3, AVG(ss_list_price) AS agg2, i_item_id 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_marital_status = 'W' AND d_year = 2000 AND cd_gender = 'F' AND cd_education_status = 'Secondary' AND (p_channel_email = 'N' OR p_channel_event = 'N') GROUP BY i_item_id ORDER BY i_item_id; | 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 k.keyword = 'character-name-in-title' AND t.episode_nr >= 50 AND t.episode_nr < 100 AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND cn.country_code = '[us]' AND an.person_id = n.id AND n.id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = mk.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND t.id = mk.movie_id | job |
Select nation, o_year, Sum(amount) As sum_profit From ( Select n_name As nation, EXTRACT(YEAR From o_orderdate) As o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity As amount From part, supplier, lineitem, partsupp, orders, nation Where s_suppkey = l_suppkey And p_name Like 1 ) As profit And s_nationkey = n_nationkey And p_partkey = l_partkey And ps_partkey = l_partkey And o_orderkey = l_orderkey And ps_suppkey = l_suppkey Group By nation, o_year Order By nation, o_year Desc | tpch |
SELECT cnt, ss_ticket_number, c_preferred_cust_flag, c_first_name, c_salutation, c_last_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND d_year IN (2000, 2002, 2001) AND s_county IN ('Franklin County', 'Daviess County', 'Jackson County') AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.57 AND hd_vehicle_count > 0 AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
SELECT MIN(k.keyword) AS movie_keyword, MIN(t.title) AS marvel_movie, MIN(n.name) AS actor_name FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.id = ci.movie_id AND k.id = mk.keyword_id AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND t.production_year > 2010 AND t.id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND n.name LIKE '%Downey%Robert%' | job |
WITH year_total AS ( SELECT c_last_name AS customer_last_name, c_first_name AS customer_first_name, c_login AS customer_login, 's' AS sale_type, c_birth_country AS customer_birth_country, c_preferred_cust_flag AS customer_preferred_cust_flag, 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, d_year AS dyear 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 Count(*) From store_sales Join household_demographics On ss_hdemo_sk = hd_demo_sk Join time_dim On ss_sold_time_sk = t_time_sk Join store On ss_store_sk = s_store_sk Where s_store_name = 'pri' AND hd_dep_count = 4 AND t_hour = 14 AND t_minute >= 30 Order By Count(*) Desc Limit 100; | 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 ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND it.info = 'top 250 rank' | 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 at.movie_id = mc.movie_id AND cn.id = mc.company_id AND mi_idx.info < '3.5' AND mi.movie_id = mc.movie_id AND t.production_year > 2000 AND t.id = mi.movie_id AND at.movie_id = mi_idx.movie_id AND mi_idx.movie_id = mc.movie_id AND cn.country_code = '[us]' AND it2.info = 'release dates' AND kt.kind = 'movie' AND t.id = mi_idx.movie_id AND kt.id = t.kind_id AND t.id = at.movie_id AND t.id = mc.movie_id AND it2.id = mi.info_type_id AND mi.info LIKE 'USA:%200%' AND it1.info = 'rating' AND mi.movie_id = mi_idx.movie_id AND at.movie_id = mi.movie_id AND at.title LIKE '%Champion%' AND it1.id = mi_idx.info_type_id | job |
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 d3.d_moy BETWEEN 3 AND 3 + 3 AND d2.d_year = 2001 AND d1.d_moy = 3 AND d3.d_year = 2001 AND d1.d_year = 2001 AND d2.d_moy BETWEEN 3 AND 3 + 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 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 c_nationkey = n1.n_nationkey AND l_orderkey = o_orderkey AND r_name = 1 AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_suppkey = l_suppkey AND n1.n_regionkey = r_regionkey AND s_nationkey = n2.n_nationkey AND p_type = 1 ) AS all_nations AND p_partkey = l_partkey AND o_custkey = c_custkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT COUNT(sr_return_quantity) AS store_returns_quantitycount, AVG(ss_quantity) AS store_sales_quantityave, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, COUNT(ss_quantity) AS store_sales_quantitycount, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, s_state, AVG(sr_return_quantity) AS store_returns_quantityave, i_item_id, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, i_item_desc, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_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 = '2001Q1' AND d2.d_quarter_name IN ('2001Q1', '2000Q2', '1999Q3') AND d3.d_quarter_name IN ('2001Q1', '2000Q2', '1999Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
Select Count(1) From badges As b, users As u, posts As p Where u.Id = p.OwnerUserId AND u.Id = b.UserId AND u.Reputation >= 1 AND p.PostTypeId = 1 | stats |
SELECT c_first_name, ss_ticket_number, c_salutation, c_last_name, cnt, c_preferred_cust_flag FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(1) AS cnt 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 WHERE (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.57 AND d_year IN (2000, 2002, 2001) AND s_county IN ('Franklin County', 'Daviess County', 'Jackson County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn INNER 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 total, promotions, 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 ca_gmt_offset = -6 AND d_year = 2002 AND d_year = 2002 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND i_category = 'Home' AND s_gmt_offset = -6 AND d_moy = 5 ) AS all_sales AND s_gmt_offset = -6 AND d_moy = 5 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -6 AND i_category = 'Home' ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price >= 77 AND ss_sales_price <= 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 ca_country = 'United States' 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 s_market_id = 9 AND d_year = 2001 | 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.production_year > 2005 AND t.id = ci.movie_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND cn.id = mc.company_id AND chn.id = ci.person_role_id AND ci.note LIKE '%(uncredited)%' AND ci.movie_id = mc.movie_id AND ci.note LIKE '%(voice)%' AND cn.country_code = '[ru]' AND rt.role = 'actor' AND rt.id = ci.role_id | job |
select COUNT(1) as cnt, a.ca_state as state from customer_address as a join customer as c on a.ca_address_sk = c.c_current_addr_sk join store_sales as s on c.c_customer_sk = s.ss_customer_sk join date_dim as d on s.ss_sold_date_sk = d.d_date_sk join item as i on s.ss_item_sk = i.i_item_sk where d.d_month_seq = ( select distinct d_month_seq from date_dim where d_year = 2001 and d_moy = 10 ) and i.i_current_price > 1.2 * ( select avg(j.i_current_price) from item as j where j.i_category = i.i_category ) group by a.ca_state having COUNT(1) >= 10 order by cnt, state limit 100; | tpcds |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE ci.person_id = an.person_id AND t.id = ci.movie_id AND an.person_id = n.id AND mc.note LIKE '%(Japan)%' AND n.gender = 'f' AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = mc.movie_id AND k.id = mk.keyword_id AND cn.country_code = '[jp]' AND t.id = mk.movie_id AND ci.role_id = rt.id AND t.production_year > 1990 AND ct.id = mc.company_type_id AND ci.note LIKE '%(voice: English version)%' AND k.keyword = 'anime' AND ci.movie_id = mc.movie_id AND cn.id = mc.company_id AND mk.movie_id = ci.movie_id AND t.id = mc.movie_id AND n.id = ci.person_id AND rt.role = 'actress' LIMIT 20; | 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 ='[de]' AND cn.id = mc.company_id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND mc.movie_id = t.id AND mk.keyword_id = k.id AND k.keyword ='character-name-in-title' LIMIT 20; | job |
SELECT AVG(cs_sales_price) AS agg4, AVG(cs_list_price) AS agg2, i_item_id, AVG(cs_coupon_amt) AS agg3, AVG(cs_quantity) AS agg1 FROM catalog_sales INNER JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk INNER JOIN date_dim ON cs_sold_date_sk = d_date_sk INNER JOIN item ON cs_item_sk = i_item_sk INNER JOIN promotion ON cs_promo_sk = p_promo_sk WHERE cd_gender = 'M' AND cd_marital_status = 'S' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = '2 yr Degree' AND d_year = 1999 GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
Select c_last_name, c_first_name, ca_city, bought_city, ss_ticket_number, extended_price, extended_tax, list_price From ( Select ss_ticket_number, ss_customer_sk, ca_city As bought_city, Sum(ss_ext_sales_price) As extended_price, Sum(ss_ext_list_price) As list_price, Sum(ss_ext_tax) As extended_tax From store_sales Join date_dim On ss_sold_date_sk = d_date_sk Join store On ss_store_sk = s_store_sk Join household_demographics On ss_hdemo_sk = hd_demo_sk Join customer_address On ss_addr_sk = ca_address_sk Where d_year = ANY(ARRAY[2001, 2000, 2001]) And (hd_dep_count = 4 Or hd_vehicle_count = 4) And d_dow In (6, 0) And s_city In ('Clinton', 'Glendale') Group By ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) As dn Join customer On ss_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = customer_address.ca_address_sk Where ca_city <> bought_city Order By c_last_name, ss_ticket_number Limit 100; | tpcds |
SELECT i_item_id, i_current_price, i_item_desc FROM item JOIN inventory ON i_item_sk = inv_item_sk JOIN date_dim ON d_date_sk = inv_date_sk JOIN store_sales ON ss_item_sk = i_item_sk WHERE d_date BETWEEN CAST('2002-01-23' AS DATE) AND (CAST('2002-01-23' AS DATE) + INTERVAL '60 days') AND i_manufact_id = ANY(ARRAY[427, 128, 154, 9]) AND i_current_price BETWEEN 80 AND 80 + 30 AND inv_quantity_on_hand BETWEEN 100 AND 500 GROUP BY i_item_id, i_item_desc, i_current_price ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT MIN(t.production_year) AS movie_year, MIN(mc.note) AS production_note, MIN(t.title) AS movie_title FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | 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 b.UserId = u.Id AND p.Id = c.PostId AND c.UserId = u.Id AND p.Id = pl.RelatedPostId AND pl.LinkTypeId = 1 AND p.Id = v.PostId AND p.Score <= 40 AND p.Id = ph.PostId | stats |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE t.production_year > 2005 AND t.id = mc.movie_id AND ci.note LIKE '%(uncredited)%' AND chn.id = ci.person_role_id AND t.id = ci.movie_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ci.note LIKE '%(voice)%' AND ct.id = mc.company_type_id AND cn.country_code = '[ru]' AND rt.role = 'actor' AND ci.movie_id = mc.movie_id | job |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE c_nationkey = n2.n_nationkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND o_orderkey = l_orderkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND c_custkey = o_custkey 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 LIMIT 200; | 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.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' 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 l1.l_receiptdate > l1.l_commitdate AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND o_orderkey = l1.l_orderkey AND s_nationkey = n_nationkey GROUP BY s_name ORDER BY numwait ASC, s_name LIMIT 100 | tpch |
With _q As ( Select i_item_desc, i_category, i_class, i_current_price, i_item_id, Sum(ss_ext_sales_price) As itemrevenue, Sum(ss_ext_sales_price) * 100 / Sum(Sum(ss_ext_sales_price)) OVER (PARTITION By i_class) As revenueratio From store_sales Join item On ss_item_sk = i_item_sk Join date_dim On ss_sold_date_sk = d_date_sk Where i_category In ('Sports', 'Men', 'Books') And d_date Between CAST('2001-07-13' As DATE) And (CAST('2001-07-13' As DATE) + INTERVAL '30 days') Group By i_item_id, i_item_desc, i_category, i_class, i_current_price Order By i_category, i_class, i_item_id, i_item_desc, revenueratio Limit 100 ) Select * From _q; | 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 rt.role = 'actor' AND t.id = ci.movie_id AND ci.note LIKE '%(voice)%' AND t.production_year > 2005 AND cn.country_code = '[ru]' AND rt.id = ci.role_id AND ci.movie_id = mc.movie_id AND ci.note LIKE '%(uncredited)%' AND ct.id = mc.company_type_id AND chn.id = ci.person_role_id AND t.id = mc.movie_id AND cn.id = mc.company_id LIMIT 500; | job |
select count(1) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, badges as b where c.Score = 0 and p.Id = pl.RelatedPostId and p.Id = c.PostId and pl.LinkTypeId = 1 and p.Id = v.PostId and p.Id = ph.PostId and b.UserId = c.UserId | stats |
SELECT AVG(cs_list_price) AS agg2, AVG(cs_coupon_amt) AS agg3, i_item_id, AVG(cs_quantity) AS agg1, 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 d_year = 1999 AND cd_marital_status = 'S' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'F' AND cd_education_status = 'Advanced Degree' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
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