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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 ca_gmt_offset = -7 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 s_gmt_offset = -7 AND d_year = 1998 AND s_gmt_offset = -7 AND d_year = 1998 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND i_category = 'Electronics' AND d_moy = 9 ) AS all_sales AND i_category = 'Electronics' ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[jp]' AND ci.role_id = rt.id AND k.keyword = 'anime' AND mc.note NOT LIKE '%(USA)%' AND t.id = mc.movie_id AND ci.note LIKE '%(voice: English version)%' AND t.id = mk.movie_id AND an.person_id = n.id AND n.id = ci.person_id AND ct.id = mc.company_type_id AND n.gender = 'f' AND ci.movie_id = mc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = mc.movie_id AND t.id = ci.movie_id AND t.production_year > 1990 AND k.id = mk.keyword_id AND rt.role = 'actress' AND ci.person_id = an.person_id AND mc.note LIKE '%(Japan)%' AND cn.id = mc.company_id | job |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, users AS u, badges AS b WHERE p.Score >= -7 AND ph.PostHistoryTypeId = 3 AND u.Reputation >= 1 AND p.OwnerUserId = u.Id AND ph.UserId = u.Id AND u.Id = b.UserId LIMIT 10; | stats |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE s_suppkey = l_suppkey AND ps_partkey = l_partkey AND s_nationkey = n_nationkey AND p_name LIKE 1 ) AS profit AND ps_suppkey = l_suppkey AND p_partkey = l_partkey AND o_orderkey = l_orderkey GROUP BY nation, o_year ORDER BY nation, o_year ASC | tpch |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND mk.keyword_id = k.id AND mc.movie_id = t.id AND cn.country_code ='[sm]' AND k.keyword ='character-name-in-title' LIMIT 10; | job |
SELECT i_item_id, MAX(ss_net_profit) AS store_sales_profit, s_store_name, s_store_id, MAX(cs_net_profit) AS catalog_sales_profit, 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 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 INNER JOIN store_sales ON d_date_sk = ss_sold_date_sk INNER JOIN item ON ss_item_sk = i_item_sk INNER JOIN customer ON ss_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = ca_address_sk INNER JOIN store ON ss_store_sk = s_store_sk WHERE i_manager_id = 3 AND substr(ca_zip, 1, 5) != substr(s_zip, 1, 5) AND d_year = 1999 AND d_moy = 12 GROUP BY i_brand, i_brand_id, i_manufact_id, i_manufact ORDER BY ext_price DESC, brand, brand_id, i_manufact_id, i_manufact LIMIT 100; | tpcds |
SELECT s_store_name, s_store_id, SUM(ss_quantity) AS store_sales_quantity, i_item_desc, i_item_id, SUM(cs_quantity) AS catalog_sales_quantity, SUM(sr_return_quantity) AS store_returns_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 = 3 AND d1.d_year = 2001 AND d2.d_moy BETWEEN 3 AND 3 + 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 3 AND 3 + 3 AND d3.d_year = 2001 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
WITH _q AS ( Select Sum(l_extendedprice * (1 - l_discount)) As revenue From lineitem, part Where ( p_partkey = l_partkey And p_brand = 1 And p_container In ('SM Case', 'SM BOX', 'SM PACK', 'SM PKG') And l_quantity >= 1 And l_quantity <= 1 + 10 And p_size Between 1 And 5 And l_shipmode In ('AIR', 'AIR REG') And l_shipinstruct = 'DELIVER In PERSON' ) Or ( p_partkey = l_partkey And p_brand = 1 And p_container In ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK') And l_quantity >= 1 And l_quantity <= 1 + 10 And p_size Between 1 And 10 And l_shipmode In ('AIR', 'AIR REG') And l_shipinstruct = 'DELIVER In PERSON' ) Or ( p_partkey = l_partkey And p_brand = 1 And p_container In ('LG Case', 'LG BOX', 'LG PACK', 'LG PKG') And l_quantity >= 1 And l_quantity <= 1 + 10 And p_size Between 1 And 15 And l_shipmode In ('AIR', 'AIR REG') And l_shipinstruct = 'DELIVER In PERSON' ) Limit 10 ) SELECT * FROM _q; | 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 k.keyword = 'marvel-cinematic-universe' and k.id = mk.keyword_id and n.name like '%Hemsworth%Chris%' and t.production_year > 2010 and ci.movie_id = mk.movie_id and n.id = ci.person_id and t.id = ci.movie_id | job |
SELECT SUM(l_extendedprice) AS sum_base_price, AVG(l_quantity) AS avg_qty, l_returnflag, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_quantity) AS sum_qty, AVG(l_extendedprice) AS avg_price, COUNT(*) AS count_order, AVG(l_discount) AS avg_disc, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, l_linestatus 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 o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE s_suppkey = l_suppkey AND c_nationkey = n1.n_nationkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND r_name = 1 AND n1.n_regionkey = r_regionkey AND p_partkey = l_partkey AND s_nationkey = n2.n_nationkey AND p_type = 1 ) AS all_nations AND l_orderkey = o_orderkey AND o_custkey = c_custkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND c_nationkey = n2.n_nationkey AND c_custkey = o_custkey AND o_orderkey = l_orderkey AND s_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year LIMIT 50; | 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 n.id = ci.person_id AND mc.company_id = cn.id AND t.episode_nr < 100 AND an.person_id = ci.person_id AND ci.movie_id = t.id AND k.keyword = 'character-name-in-title' AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND an.person_id = n.id AND t.episode_nr >= 50 AND ci.movie_id = mk.movie_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.id = ci.movie_id AND t.production_year > 2010 AND n.name LIKE '%Downey%Robert%' AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_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 k.id = mk.keyword_id AND t.id = mi.movie_id AND cn.id = mc.company_id AND mc.movie_id = mi_idx.movie_id AND it2.info = 'rating' AND kt.id = t.kind_id AND it1.info = 'countries' AND mi.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND it1.id = mi.info_type_id AND kt.kind IN ('movie', 'episode') AND ct.id = mc.company_type_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mk.movie_id = mc.movie_id AND mc.note LIKE '%(200%)%' AND mi.movie_id = mc.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mk.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.production_year > 2008 AND it2.id = mi_idx.info_type_id AND t.id = mk.movie_id AND cn.country_code <> '[us]' AND t.id = mi_idx.movie_id AND mi_idx.info < '7.0' AND mk.movie_id = mi.movie_id | job |
SELECT STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(ss_quantity) AS store_sales_quantitycount, i_item_desc, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(sr_return_quantity) AS store_returns_quantitycount, COUNT(cs_quantity) AS catalog_sales_quantitycount, i_item_id, AVG(sr_return_quantity) AS store_returns_quantityave, s_state, AVG(cs_quantity) AS catalog_sales_quantityave, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '2001Q1' AND d2.d_quarter_name IN ('2001Q1', '2002Q2', '1999Q4') AND d3.d_quarter_name IN ('2001Q1', '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 avg(ss_ext_wholesale_cost), avg(ss_ext_sales_price), avg(ss_quantity), sum(ss_ext_wholesale_cost) from store_sales join store on s_store_sk = ss_store_sk join customer_demographics on cd_demo_sk = ss_cdemo_sk join household_demographics on hd_demo_sk = ss_hdemo_sk join customer_address on ca_address_sk = ss_addr_sk join date_dim on d_date_sk = ss_sold_date_sk where ( (cd_marital_status = 'S' and cd_education_status = '2 yr Degree' and ss_sales_price between 83 and 135) or (cd_marital_status = 'S' and cd_education_status = 'Secondary' and ss_sales_price between 84 and 125) or (cd_marital_status = 'D' and cd_education_status = 'College' and ss_sales_price between 126 and 196) ) and d_year = 1999 and ( (hd_dep_count = 0 and hd_vehicle_count <= 1) or (hd_dep_count = 3 and hd_vehicle_count <= 4) or (hd_dep_count = 6 and hd_vehicle_count <= 4) ) and ca_country = 'United States' and s_market_id = 4 and ca_state in ('TX', 'WA', 'FL') | tpcds |
WITH year_total AS ( SELECT c_login AS customer_login, c_birth_country AS customer_birth_country, c_last_name AS customer_last_name, c_first_name AS customer_first_name, d_year AS dyear, c_email_address AS customer_email_address, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, 's' AS sale_type, c_preferred_cust_flag AS customer_preferred_cust_flag, c_customer_id AS customer_id FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
Select Count(*) From postHistory As ph, posts As p, users As u, badges As b Where p.Score >= -7 And p.OwnerUserId = u.Id And ph.UserId = u.Id And u.Id = b.UserId And u.Reputation >= 1 And ph.PostHistoryTypeId = 3 Limit 20; | stats |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE it.id = miidx.info_type_id AND it.info = 'rating' AND ct.id = mc.company_type_id AND mc.movie_id = t.id AND kt.kind = 'movie' 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 mi.movie_id = mc.movie_id AND miidx.movie_id = t.id AND cn.id = mc.company_id AND kt.id = t.kind_id AND it2.info = 'release dates' AND mi.movie_id = t.id AND mi.movie_id = miidx.movie_id | job |
SELECT n_name, c_phone, c_name, c_custkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_comment, c_acctbal, c_address FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT 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 l_orderkey = o_orderkey AND s_nationkey = n2.n_nationkey AND p_type = 1 ) AS all_nations AND r_name = 1 AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND c_nationkey = n1.n_nationkey AND p_partkey = l_partkey AND n1.n_regionkey = r_regionkey AND s_suppkey = l_suppkey AND o_custkey = c_custkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, i_item_desc, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, i_item_id, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(cs_quantity) AS catalog_sales_quantityave, 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 ('1999Q1', '2002Q2', '1999Q4') AND d1.d_quarter_name = '1999Q1' 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(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 an1.person_id = ci.person_id AND ci.movie_id = t.id AND ci.note = '(voice: English version)' AND rt.role = 'actress' AND mc.company_id = cn.id AND n1.name NOT LIKE '%Yu%' AND t.id = mc.movie_id AND n1.id = ci.person_id AND ci.role_id = rt.id AND an1.person_id = n1.id AND n1.name LIKE '%Yo%' AND ci.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(Japan)%' AND cn.country_code = '[jp]' | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE 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 o_orderkey = l1.l_orderkey AND s_nationkey = n_nationkey AND s_suppkey = l1.l_suppkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.person_id = an.person_id AND an.person_id = n.id AND t.id = mi.movie_id AND n.gender = 'f' AND mc.note LIKE '%(USA)%' AND ci.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND rt.role = 'actress' AND cn.id = mc.company_id AND t.id = mc.movie_id AND it.id = mi.info_type_id AND cn.country_code = '[us]' AND t.id = ci.movie_id AND chn.id = ci.person_role_id AND ci.role_id = rt.id AND n.id = ci.person_id AND mi.movie_id = ci.movie_id AND t.production_year > 2000 AND it.info = 'release dates' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') | job |
WITH _q AS ( SELECT AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales INNER JOIN store ON s_store_sk = ss_store_sk INNER JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk INNER JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk INNER JOIN customer_address ON ca_address_sk = ss_addr_sk INNER JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE s_market_id = 8 AND d_year = 2001 AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price BETWEEN 90 AND 128) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 81 AND 149) OR (cd_marital_status = 'W' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 138 AND 187) ) AND ( (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_country = 'United States' AND ca_state IN ('TX', 'GA', 'FL') ) SELECT * FROM _q; | tpcds |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE p_type LIKE 1 AND s_suppkey = ps_suppkey AND p_size = 1 AND s_nationkey = n_nationkey AND r_name = 1 AND n_regionkey = r_regionkey AND p_partkey = ps_partkey 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(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE t.id = mc.movie_id AND t.id = ci.movie_id AND rt.id = ci.role_id AND rt.role = 'actor' AND ci.note LIKE '%(voice)%' AND t.production_year > 2005 AND ci.note LIKE '%(uncredited)%' AND cn.id = mc.company_id AND cn.country_code = '[ru]' AND chn.id = ci.person_role_id AND ct.id = mc.company_type_id AND ci.movie_id = mc.movie_id | job |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE it.info = 'bottom 10 rank' AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi.movie_id AND it.id = mi.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT l_year, supp_nation, cust_nation, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE 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 c_nationkey = n2.n_nationkey AND o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND s_nationkey = n1.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
select c_name, o_orderdate, o_orderkey, o_totalprice, c_custkey, sum(l_quantity) 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 c_phone, c_custkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, c_address, c_name, n_name, c_comment FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT 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 k.id = mk.keyword_id AND t.production_year > 2010 AND ci.movie_id = mk.movie_id AND n.name LIKE '%Downey%Robert%' AND t.id = ci.movie_id AND n.id = ci.person_id AND k.keyword = 'marvel-cinematic-universe' | job |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE miidx.movie_id = t.id AND mi.movie_id = t.id AND ct.id = mc.company_type_id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mi.movie_id = mc.movie_id AND ct.kind = 'production companies' AND miidx.movie_id = mc.movie_id AND it.id = miidx.info_type_id AND it2.info = 'release dates' AND mc.movie_id = t.id AND kt.kind = 'movie' AND it.info = 'rating' AND cn.country_code = '[de]' AND cn.id = mc.company_id AND mi.movie_id = miidx.movie_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 n.name LIKE '%Hemsworth%Chris%' AND t.id = ci.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_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 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.episode_nr >= 50 AND cn.country_code = '[us]' AND t.episode_nr < 100 AND an.person_id = ci.person_id AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND k.keyword = 'character-name-in-title' AND ci.movie_id = t.id AND mc.company_id = cn.id AND mk.keyword_id = k.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 cn.id = mc.company_id AND t.id = mc.movie_id AND rt.id = ci.role_id AND t.id = ci.movie_id AND rt.role = 'actor' AND ct.id = mc.company_type_id AND t.production_year > 2005 AND ci.note LIKE '%(uncredited)%' AND ci.note LIKE '%(voice)%' AND ci.movie_id = mc.movie_id AND cn.country_code = '[ru]' AND chn.id = ci.person_role_id | job |
SELECT SUM(ss_quantity) AS store_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, s_store_id, i_item_id, s_store_name, i_item_desc, 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_year = 2000 AND d1.d_moy = 10 AND d3.d_moy BETWEEN 10 AND 10 + 3 AND d3.d_year = 2000 AND d2.d_moy BETWEEN 10 AND 10 + 3 AND d1.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 Count(*) From votes As v, posts As p Where v.PostId = p.Id AND v.VoteTypeId = 2 Limit 1000; | stats |
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 = mk.movie_id AND cn.id = mc.company_id AND mi.info LIKE 'USA:% 199%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND ml.movie_id = mi.movie_id AND it.info = 'release dates' AND lt.link LIKE '%follow%' AND mi.movie_id = t.id AND cn.country_code = '[us]' AND t.production_year > 1950 AND it.id = mi.info_type_id AND lt.id = ml.link_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND k.id = mk.keyword_id AND mi.note LIKE '%internet%' AND ml.movie_id = mk.movie_id AND t.id = ml.movie_id AND mc.note LIKE '%(USA)%' | job |
SELECT c_first_name, c_last_name, ss_ticket_number, c_preferred_cust_flag, c_salutation, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE hd_vehicle_count > 0 AND d_year IN (2001, 2002, 2003) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') 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) > 1.37 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 DESC; | tpcds |
select count(*) from comments as c, posts as p, users as u where c.CreationDate >= '2010-08-05 00:36:02'::timestamp and p.CommentCount >= 0 and p.FavoriteCount >= 0 and c.UserId = u.Id and p.ViewCount >= 0 and u.Id = p.OwnerUserId | stats |
SELECT MIN(t.title) AS movie_title, MIN(mi_idx.info) AS rating FROM info_type AS it, movie_info_idx AS mi_idx, title AS t WHERE it.id = mi_idx.info_type_id AND it.info ='rating' AND t.id = mi_idx.movie_id AND t.production_year BETWEEN 2000 AND 2010 AND mi_idx.info > '7.0' | job |
SELECT p_brand, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_type, p_size FROM partsupp, part WHERE p_partkey = ps_partkey AND 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_brand <> 1 AND p_type NOT LIKE 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt ASC, p_brand, p_type, p_size | 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_partkey = ps_partkey AND s_suppkey = ps_suppkey AND r_name = 1 AND s_nationkey = n_nationkey AND p_type LIKE 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 p_size = 1 AND n_regionkey = r_regionkey ORDER BY s_acctbal ASC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE d_moy = 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 = -5 AND d_year = 2001 AND s_gmt_offset = -5 AND d_moy = 8 ) AS all_sales AND i_category = 'Jewelry' AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -5 AND ca_gmt_offset = -5 AND d_year = 2001 AND i_category = 'Jewelry' ORDER BY promotions, total; | tpcds |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND k.id = mk.keyword_id AND k.keyword Like '%sequel%' AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi.movie_id AND t.production_year > 2005 | job |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE c_nationkey = s_nationkey AND l_orderkey = o_orderkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND l_suppkey = s_suppkey AND o_orderdate >= DATE 1 AND r_name = 1 AND c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR 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 ci.note = '(voice: English version)' AND t.id = mc.movie_id AND ci.role_id = rt.id AND rt.role = 'actress' AND mc.note LIKE '%(Japan)%' AND mc.company_id = cn.id AND mc.note NOT LIKE '%(USA)%' AND an1.person_id = ci.person_id AND n1.name NOT LIKE '%Yu%' AND n1.name LIKE '%Yo%' AND an1.person_id = n1.id AND ci.movie_id = t.id AND cn.country_code = '[jp]' AND ci.movie_id = mc.movie_id AND n1.id = ci.person_id LIMIT 500; | 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 k.keyword ='character-name-In-title' AND t.id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.id AND mc.movie_id = mk.movie_id AND cn.country_code ='[nl]' AND mk.keyword_id = k.id LIMIT 500; | job |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, users as u where u.Id = p.OwnerUserId AND p.Id = ph.PostId AND p.Id = c.PostId AND p.AnswerCount >= 0 AND p.PostTypeId = 1 AND p.Id = v.PostId AND p.Id = pl.PostId | stats |
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 l_shipmode IN (1, 1) AND o_orderkey = l_orderkey AND l_receiptdate >= DATE 1 AND l_shipdate < l_commitdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR GROUP BY l_shipmode ORDER BY l_shipmode ) SELECT * FROM _q LIMIT 20; | 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 mc.movie_id = mk.movie_id And k.keyword ='character-name-In-title' And mk.keyword_id = k.id And cn.country_code ='[nl]' And cn.id = mc.company_id And t.id = mk.movie_id And mc.movie_id = t.id | job |
SELECT AVG(l_quantity) AS avg_qty, l_returnflag, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice) AS sum_base_price, AVG(l_discount) AS avg_disc, AVG(l_extendedprice) AS avg_price, l_linestatus, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, 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 Count(1) From comments As c, posts As p, postHistory As ph, votes As v, users As u Where u.Id = c.UserId And p.OwnerUserId = ph.UserId And p.Score <= 13 And ph.UserId = v.UserId And p.AnswerCount >= 0 And c.UserId = p.OwnerUserId | stats |
Select Count(*) From comments As c, posts As p, postLinks As pl, votes As v Where pl.PostId = v.PostId And v.VoteTypeId = 2 And c.CreationDate >= '2010-08-02 23:52:10'::timestamp And c.PostId = pl.PostId And p.Score >= -3 And p.Id = c.PostId | stats |
SELECT p_mfgr, s_comment, s_name, s_phone, s_acctbal, n_name, s_address, p_partkey FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where mk.movie_id = mi.movie_id and t.production_year > 2005 and t.id = mk.movie_id and k.id = mk.keyword_id and t.id = mi.movie_id and k.keyword like '%sequel%' and mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German']) | 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 an1.person_id = ci.person_id AND ci.role_id = rt.id AND n1.name LIKE '%Yo%' AND mc.note LIKE '%(Japan)%' AND cn.country_code = '[jp]' AND mc.note NOT LIKE '%(USA)%' AND mc.company_id = cn.id AND n1.name NOT LIKE '%Yu%' AND n1.id = ci.person_id AND t.id = mc.movie_id AND ci.movie_id = t.id AND ci.note = '(voice: English version)' AND an1.person_id = n1.id AND ci.movie_id = mc.movie_id AND rt.role = 'actress' | job |
Select Count(1) From comments As c, posts As p, postHistory As ph, votes As v, users As u Where p.OwnerUserId = ph.UserId AND c.UserId = p.OwnerUserId AND p.AnswerCount >= 0 AND ph.UserId = v.UserId AND u.Id = c.UserId AND p.Score <= 13 | stats |
SELECT c_last_name, extended_price, bought_city, ss_ticket_number, c_first_name, list_price, extended_tax, ca_city FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk INNER JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE d_year IN (2001, 2000, 2001) AND s_city IN ('Clinton', 'Glendale') AND d_dow IN (6, 0) AND (hd_dep_count = 4 OR hd_vehicle_count = 4) GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn INNER JOIN customer ON ss_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
Select Min(t.title) As movie_title, Min(mi_idx.info) As rating From info_type As it, movie_info_idx As mi_idx, title As t Where it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND it.info ='rating' AND mi_idx.info > '8.0' AND t.production_year BETWEEN 2000 AND 2005 | 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 ci.note = '(voice: English version)' AND mc.company_id = cn.id AND t.id = mc.movie_id AND an1.person_id = n1.id AND ci.movie_id = mc.movie_id AND n1.name LIKE '%Yo%' AND n1.name NOT LIKE '%Yu%' AND cn.country_code = '[jp]' AND an1.person_id = ci.person_id AND n1.id = ci.person_id AND mc.note LIKE '%(Japan)%' AND ci.movie_id = t.id AND rt.role = 'actress' AND mc.note NOT LIKE '%(USA)%' AND ci.role_id = rt.id | job |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE it.info = 'bottom 10 rank' AND t.id = mc.movie_id AND t.id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi.info_type_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND mc.movie_id = mi.movie_id | job |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE pi.note = 'Volker Boehm' AND ci.movie_id = ml.linked_movie_id AND pi.person_id = an.person_id AND t.production_year BETWEEN 1980 AND 1995 AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ci.person_id = n.id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND it.info = 'mini biography' AND pi.person_id = ci.person_id AND t.id = ci.movie_id AND lt.link = 'features' AND an.name LIKE '%a%' AND an.person_id = ci.person_id AND it.id = pi.info_type_id AND n.id = pi.person_id AND lt.id = ml.link_type_id AND n.id = an.person_id AND ml.linked_movie_id = t.id LIMIT 10; | 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 INNER JOIN store On ss_store_sk = s_store_sk INNER JOIN promotion On ss_promo_sk = p_promo_sk INNER JOIN date_dim On ss_sold_date_sk = d_date_sk INNER JOIN customer On ss_customer_sk = c_customer_sk INNER JOIN customer_address On c_current_addr_sk = ca_address_sk INNER JOIN item On ss_item_sk = i_item_sk Where d_moy = 8 ) As promotional_sales, ( Select Sum(ss_ext_sales_price) As total From store_sales INNER JOIN store On ss_store_sk = s_store_sk INNER JOIN date_dim On ss_sold_date_sk = d_date_sk INNER JOIN customer On ss_customer_sk = c_customer_sk INNER JOIN customer_address On c_current_addr_sk = ca_address_sk INNER JOIN item On ss_item_sk = i_item_sk Where ca_gmt_offset = -5 And s_gmt_offset = -5 And s_gmt_offset = -5 And (p_channel_dmail = 'Y' Or p_channel_email = 'Y' Or p_channel_tv = 'Y') And ca_gmt_offset = -5 And d_moy = 8 ) As all_sales And d_year = 2001 And d_year = 2001 And i_category = 'Jewelry' And i_category = 'Jewelry' Order By promotions, total Limit 100; | tpcds |
SELECT o_year, nation, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE s_suppkey = l_suppkey AND s_nationkey = n_nationkey AND p_partkey = l_partkey AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND ps_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
select min(t.title) as japanese_anime_movie, min(an.name) as acress_pseudonym from aka_name as an, cast_info as ci, company_name as cn, company_type as ct, keyword as k, movie_companies as mc, movie_keyword as mk, name as n, role_type as rt, title as t where t.id = mk.movie_id and ct.id = mc.company_type_id and k.keyword = 'anime' and ci.person_id = an.person_id and mk.movie_id = mc.movie_id and t.id = mc.movie_id and ci.role_id = rt.id and t.id = ci.movie_id and k.id = mk.keyword_id and t.production_year > 1990 and n.id = ci.person_id and n.gender = 'f' and cn.country_code = '[jp]' and cn.id = mc.company_id and mc.note not like '%(USA)%' and an.person_id = n.id and ci.note like '%(voice: English version)%' and mk.movie_id = ci.movie_id and rt.role = 'actress' and mc.note like '%(Japan)%' and ci.movie_id = mc.movie_id | job |
SELECT c_acctbal, c_address, c_name, c_phone, n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_custkey, c_comment FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
Select Min(n.name) As of_person, Min(t.title) As biography_movie From aka_name As an, cast_info As ci, info_type As it, link_type As lt, movie_link As ml, name As n, person_info As pi, title As t Where n.id = an.person_id And pi.note = 'Volker Boehm' And (n.gender = 'm' Or (n.gender = 'f' And n.name Like 'B%')) And ci.movie_id = ml.linked_movie_id And pi.person_id = an.person_id And pi.person_id = ci.person_id And t.production_year Between 1980 And 1995 And an.name Like '%a%' And t.id = ci.movie_id And lt.id = ml.link_type_id And an.person_id = ci.person_id And ci.person_id = n.id And it.id = pi.info_type_id And n.name_pcode_cf Between 'A' And 'F' And ml.linked_movie_id = t.id And lt.link = 'features' And n.id = pi.person_id And it.info = 'mini biography' | job |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE p_type LIKE 1 AND s_suppkey = ps_suppkey 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 r_name = 1 AND p_size = 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT cnt, ss_ticket_number, c_last_name, c_salutation, c_preferred_cust_flag, c_first_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(1) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_dom BETWEEN 1 AND 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND d_year IN (2001, 2000, 2003) AND s_county IN ('Franklin County', 'Jefferson County', 'Oglethorpe 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 |
WITH _q AS ( 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 b.UserId = c.UserId AND p.Id = ph.PostId AND p.Id = v.PostId AND p.Id = c.PostId AND pl.LinkTypeId = 1 AND c.Score = 0 ) SELECT * FROM _q; | stats |
Select c_custkey, Sum(l_extendedprice * (1 - l_discount)) As revenue, c_name, c_acctbal, c_phone, c_comment, n_name, c_address From customer, orders, lineitem, nation Where c_custkey = o_custkey And l_orderkey = o_orderkey And o_orderdate >= DATE 1 And o_orderdate < DATE 1 + INTERVAL '3' MONTH And l_returnflag = 'R' And c_nationkey = n_nationkey Group By c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment Order By revenue ASC Limit 20 | tpch |
SELECT MIN(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 ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi.info_type_id AND t.id = mi.movie_id AND it.info = 'bottom 10 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id | 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.Score <= 40 AND p.Id = pl.RelatedPostId AND c.UserId = u.Id AND pl.LinkTypeId = 1 AND p.Id = c.PostId AND p.Id = ph.PostId AND p.Id = v.PostId | stats |
SELECT MIN(k.keyword) AS movie_keyword, MIN(t.title) AS marvel_movie, MIN(n.name) AS actor_name FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.name LIKE '%Downey%Robert%' AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND n.id = ci.person_id AND t.production_year > 2010 | job |
select count(*) from postHistory as ph, posts as p, votes as v, badges as b, users as u, comments as c where u.Id = b.UserId and p.ViewCount >= 0 and u.Id = p.OwnerUserId and p.Id = v.PostId and p.Id = ph.PostId and p.Score <= 192 and p.Id = c.PostId | stats |
select COUNT(1) from comments as c, posts as p, postHistory as ph, votes as v, users as u where p.AnswerCount >= 0 AND ph.UserId = v.UserId AND u.Id = c.UserId AND p.Score <= 13 AND c.UserId = p.OwnerUserId AND p.OwnerUserId = ph.UserId | stats |
select sum(sr_return_quantity) as store_returns_quantity, sum(ss_quantity) as store_sales_quantity, i_item_id, sum(cs_quantity) as catalog_sales_quantity, s_store_id, i_item_desc, s_store_name from store_sales join store_returns on ss_customer_sk = sr_customer_sk and ss_item_sk = sr_item_sk and ss_ticket_number = sr_ticket_number join catalog_sales on sr_customer_sk = cs_bill_customer_sk and sr_item_sk = cs_item_sk join date_dim as d1 on ss_sold_date_sk = d1.d_date_sk join date_dim as d2 on sr_returned_date_sk = d2.d_date_sk join date_dim as d3 on cs_sold_date_sk = d3.d_date_sk join store on ss_store_sk = s_store_sk join item on ss_item_sk = i_item_sk where d1.d_moy = 2 and d1.d_year = 2001 and d2.d_moy between 2 and 2 + 3 and d2.d_year = 2001 and d3.d_moy between 2 and 2 + 3 and d3.d_year = 2001 group by i_item_id, i_item_desc, s_store_id, s_store_name order by i_item_id, i_item_desc, s_store_id, s_store_name limit 100; | tpcds |
SELECT 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_current_price >= 75 AND i_manufact_id IN (27, 394, 425, 158) AND d_date BETWEEN CAST('2000-05-01' AS DATE) AND (CAST('2000-05-01' AS DATE) + INTERVAL '60 days') AND i_current_price <= 75 + 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 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 l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND o_orderkey = l_orderkey AND c_nationkey = n2.n_nationkey AND s_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND c_custkey = o_custkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_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 n_regionkey = r_regionkey AND p_type LIKE 1 AND p_partkey = ps_partkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_size = 1 AND s_nationkey = n_nationkey AND s_suppkey = ps_suppkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT i_brand_id AS brand_id, i_brand AS brand, i_manufact_id, i_manufact, SUM(ss_ext_sales_price) AS ext_price FROM date_dim INNER JOIN store_sales ON d_date_sk = ss_sold_date_sk INNER JOIN item ON ss_item_sk = i_item_sk INNER JOIN customer ON ss_customer_sk = c_customer_sk INNER JOIN customer_address ON c_current_addr_sk = ca_address_sk INNER JOIN store ON ss_store_sk = s_store_sk WHERE i_manager_id = 3 AND d_moy = 12 AND substr(ca_zip, 1, 5) != substr(s_zip, 1, 5) 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; | tpcds |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE l_suppkey = s_suppkey AND s_nationkey = n_nationkey AND c_custkey = o_custkey AND n_regionkey = r_regionkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND c_nationkey = s_nationkey AND r_name = 1 AND o_orderdate >= DATE 1 AND l_orderkey = o_orderkey GROUP BY n_name ORDER BY revenue DESC | 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 t.id = mk.movie_id AND ci.movie_id = t.id AND an.person_id = n.id AND t.episode_nr < 100 AND ci.movie_id = mk.movie_id AND cn.country_code = '[us]' AND an.person_id = ci.person_id AND mc.movie_id = mk.movie_id AND mc.company_id = cn.id AND t.id = mc.movie_id AND k.keyword = 'character-name-IN-title' AND ci.movie_id = mc.movie_id AND n.id = ci.person_id AND t.episode_nr >= 50 AND mk.keyword_id = k.id | job |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE mk.movie_id = mc.movie_id AND mi.info LIKE 'USA:% 199%' AND t.production_year > 1950 AND lt.link LIKE '%follow%' AND mi.movie_id = t.id AND cn.id = mc.company_id AND ml.movie_id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mk.movie_id AND cn.country_code = '[us]' AND t.id = ml.movie_id AND it.info = 'release dates' AND it.id = mi.info_type_id AND ct.id = mc.company_type_id AND k.id = mk.keyword_id AND mi.note LIKE '%internet%' AND t.id = mc.movie_id AND ml.movie_id = mi.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND lt.id = ml.link_type_id AND mc.note LIKE '%(USA)%' AND ml.movie_id = mk.movie_id | job |
SELECT i_item_desc, s_store_name, SUM(ss_quantity) AS store_sales_quantity, s_store_id, SUM(cs_quantity) AS catalog_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, i_item_id FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON 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 = 5 AND d1.d_year = 2000 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d2.d_year = 2000 AND d3.d_moy BETWEEN 5 AND 5 + 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 n.id = ci.person_id AND ci.movie_id = mk.movie_id AND t.id = ci.movie_id AND k.id = mk.keyword_id AND n.name LIKE '%Hemsworth%Chris%' AND t.id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 | job |
SELECT l_returnflag, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, l_linestatus, SUM(l_quantity) AS sum_qty, COUNT(*) AS count_order, AVG(l_discount) AS avg_disc, SUM(l_extendedprice) AS sum_base_price, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_quantity) AS avg_qty FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.production_year > 2005 AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German']) AND t.id = mi.movie_id AND k.keyword LIKE '%sequel%' | job |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE ps_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND p_partkey = l_partkey AND s_suppkey = l_suppkey AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey AND s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year DESC LIMIT 1000; | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE p.Id = c.PostId AND p.Id = ph.PostId AND p.Id = v.PostId AND pl.LinkTypeId = 1 AND p.Score <= 40 AND c.UserId = u.Id AND b.UserId = u.Id AND p.Id = pl.RelatedPostId LIMIT 10; | stats |
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 mk.movie_id = mc.movie_id AND k.keyword = 'anime' AND ci.role_id = rt.id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND t.id = ci.movie_id AND t.production_year > 1990 AND n.gender = 'f' AND ci.note LIKE '%(voice: English version)%' AND mk.movie_id = ci.movie_id AND t.id = mk.movie_id AND cn.country_code = '[jp]' AND k.id = mk.keyword_id AND ci.person_id = an.person_id AND rt.role = 'actress' AND n.id = ci.person_id AND mc.note LIKE '%(Japan)%' AND cn.id = mc.company_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 t.production_year > 2005 AND chn.id = ci.person_role_id AND ct.id = mc.company_type_id AND rt.role = 'actor' AND rt.id = ci.role_id AND ci.note LIKE '%(uncredited)%' AND cn.country_code = '[ru]' AND cn.id = mc.company_id AND ci.note LIKE '%(voice)%' AND t.id = ci.movie_id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id | job |
SELECT COUNT(1) FROM postHistory AS ph, posts AS p, users AS u, badges AS b WHERE p.Score >= -7 AND u.Reputation >= 1 AND u.Id = b.UserId AND ph.PostHistoryTypeId = 3 AND p.OwnerUserId = u.Id AND ph.UserId = u.Id | stats |
SELECT SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_phone, c_custkey, c_acctbal, c_comment, n_name, c_name, c_address FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT SUM(l_extendedprice * (1 - l_discount)) AS revenue, n_name FROM customer, orders, lineitem, supplier, nation, region WHERE l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND c_custkey = o_custkey AND l_suppkey = s_suppkey AND n_regionkey = r_regionkey AND r_name = 1 AND s_nationkey = n_nationkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND c_nationkey = s_nationkey GROUP BY n_name ORDER BY revenue DESC | tpch |
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