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SELECT COUNT(*) FROM comments AS c, posts AS p, votes AS v, users AS u WHERE p.Score >= 0 AND u.Id = c.UserId AND c.Score = 0 AND p.ViewCount >= 0 AND u.Id = v.UserId AND u.Id = p.OwnerUserId LIMIT 50; | stats |
Select Sum(volume) As revenue, l_year, supp_nation, cust_nation From ( Select n1.n_name As supp_nation, n2.n_name As cust_nation, EXTRACT(YEAR From l_shipdate) As l_year, l_extendedprice * (1 - l_discount) As volume From supplier, lineitem, orders, customer, nation n1, nation n2 Where s_suppkey = l_suppkey And c_nationkey = n2.n_nationkey And ( (n1.n_name = 1 And n2.n_name = 1) Or (n1.n_name = 1 And n2.n_name = 1) ) And l_shipdate Between DATE '1995-01-01' And DATE '1996-12-31' ) As shipping And o_orderkey = l_orderkey And c_custkey = o_custkey And s_nationkey = n1.n_nationkey Group By supp_nation, cust_nation, l_year Order By supp_nation, cust_nation, l_year | 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 an.person_id = n.id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = mc.movie_id AND n.gender = 'f' AND mc.note LIKE '%(USA)%' AND chn.id = ci.person_role_id AND n.id = ci.person_id AND mi.movie_id = ci.movie_id AND it.info = 'release dates' AND t.id = mi.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND t.production_year > 2000 AND cn.id = mc.company_id AND rt.role = 'actress' AND it.id = mi.info_type_id AND ci.role_id = rt.id AND t.id = ci.movie_id AND ci.person_id = an.person_id AND cn.country_code = '[us]' | job |
SELECT SUM(sr_return_quantity) AS store_returns_quantity, i_item_id, i_item_desc, SUM(ss_quantity) AS store_sales_quantity, s_store_id, 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 = 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 MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'countries' AND it2.id = mi_idx.info_type_id AND it1.id = mi.info_type_id AND mc.note LIKE '%(200%)%' AND mc.note NOT LIKE '%(USA)%' AND mi.movie_id = mc.movie_id AND it2.info = 'rating' AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = mi.movie_id AND kt.id = t.kind_id AND mi_idx.info < '7.0' AND cn.id = mc.company_id AND mk.movie_id = mc.movie_id AND t.production_year > 2008 AND mk.movie_id = mi.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND cn.country_code != '[us]' AND mi.movie_id = mi_idx.movie_id AND kt.kind IN ('movie', 'episode') AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mk.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id | job |
SELECT i_brand_id AS brand_id, i_manufact, i_manufact_id, SUM(ss_ext_sales_price) AS ext_price, i_brand AS brand FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND d_moy = 12 AND i_manager_id = 47 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 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 r_name = 1 AND p_partkey = l_partkey AND s_nationkey = n2.n_nationkey AND s_suppkey = l_suppkey AND n1.n_regionkey = r_regionkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND l_orderkey = o_orderkey AND p_type = 1 ) AS all_nations AND o_custkey = c_custkey AND c_nationkey = n1.n_nationkey GROUP BY o_year ORDER BY o_year | 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 cn.id = mc.company_id AND ci.movie_id = mc.movie_id AND t.production_year > 2005 AND rt.role = 'actor' AND ci.note LIKE '%(uncredited)%' AND ci.note LIKE '%(voice)%' AND ct.id = mc.company_type_id AND cn.country_code = '[ru]' AND rt.id = ci.role_id AND chn.id = ci.person_role_id AND t.id = ci.movie_id AND t.id = mc.movie_id | job |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE n.gender = 'f' AND ct.id = mc.company_type_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = mc.movie_id AND rt.role = 'actress' AND ci.note LIKE '%(voice: English version)%' AND an.person_id = n.id AND cn.id = mc.company_id AND mk.movie_id = mc.movie_id AND ci.movie_id = mc.movie_id AND n.id = ci.person_id AND mc.note LIKE '%(Japan)%' AND mk.movie_id = ci.movie_id AND ci.role_id = rt.id AND cn.country_code = '[jp]' AND k.keyword = 'anime' AND k.id = mk.keyword_id AND t.production_year > 1990 AND ci.person_id = an.person_id AND mc.note NOT LIKE '%(USA)%' | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mk.keyword_id = k.id AND cn.id = mc.company_id AND mc.movie_id = t.id AND cn.country_code ='[nl]' AND k.keyword ='character-name-in-title' AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id LIMIT 1000; | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, votes AS v WHERE c.PostId = pl.PostId AND p.Id = c.PostId AND v.VoteTypeId = 2 AND p.Score >= -3 AND pl.PostId = v.PostId AND c.CreationDate >= '2010-08-02 23:52:10'::timestamp LIMIT 100; | stats |
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 (427, 128, 154, 9) AND i_current_price BETWEEN 80 AND 80 + 30 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 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 p_type LIKE 1 AND s_nationkey = n_nationkey 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 ) AND r_name = 1 AND s_suppkey = ps_suppkey AND n_regionkey = r_regionkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, votes AS v, users AS u WHERE u.Id = v.UserId AND p.ViewCount >= 0 AND u.Id = p.OwnerUserId AND p.Score >= 0 AND c.Score = 0 AND u.Id = c.UserId LIMIT 500; | stats |
select min(t.title) as movie_title from company_name as cn, keyword as k, movie_companies as mc, movie_keyword as mk, title as t where cn.id = mc.company_id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND k.keyword ='character-name-in-title' AND cn.country_code ='[de]' AND mk.keyword_id = k.id AND mc.movie_id = t.id | job |
select min(t.title) as movie_title from company_name as cn, keyword as k, movie_companies as mc, movie_keyword as mk, title as t where cn.country_code ='[sm]' AND mk.keyword_id = k.id AND mc.movie_id = t.id AND cn.id = mc.company_id AND mc.movie_id = mk.movie_id AND k.keyword ='character-name-in-title' AND t.id = mk.movie_id | job |
WITH _q AS ( SELECT COUNT(1) FROM postHistory AS ph, posts AS p, users AS u, badges AS b WHERE ph.UserId = u.Id AND p.Score >= -7 AND u.Id = b.UserId AND p.OwnerUserId = u.Id AND u.Reputation >= 1 AND ph.PostHistoryTypeId = 3 ) SELECT * FROM _q; | stats |
SELECT MIN(mi_idx.info) AS rating, MIN(cn.name) AS movie_company, 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 kt.id = t.kind_id AND t.production_year > 2008 AND k.id = mk.keyword_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mc.note LIKE '%(200%)%' AND mk.movie_id = mc.movie_id AND it2.info = 'rating' AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mc.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND mc.note NOT LIKE '%(USA)%' AND mi.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mk.movie_id = mi.movie_id AND cn.country_code != '[us]' AND it1.id = mi.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND it1.info = 'countries' AND mk.movie_id = mi_idx.movie_id AND kt.kind IN ('movie', 'episode') AND it2.id = mi_idx.info_type_id AND mi_idx.info < '7.0' | 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 = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi_idx.info_type_id AND it.info = 'top 250 rank' AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
With ss As ( Select i_manufact_id, Sum(ss_ext_sales_price) As total_sales From store_sales Join date_dim On ss_sold_date_sk = d_date_sk Join customer_address On ss_addr_sk = ca_address_sk Join item On ss_item_sk = i_item_sk Where i_category In ('Sports') AND d_year = 2002 AND d_moy = 1 AND ca_gmt_offset = -6 Group By i_manufact_id ), cs As ( Select i_manufact_id, Sum(cs_ext_sales_price) As total_sales From catalog_sales Join date_dim On cs_sold_date_sk = d_date_sk Join customer_address On cs_bill_addr_sk = ca_address_sk Join item On cs_item_sk = i_item_sk Where d_year = 2002 And d_moy = 1 And i_category In ('Sports') And ca_gmt_offset = -6 Group By i_manufact_id ), ws As ( Select i_manufact_id, Sum(ws_ext_sales_price) As total_sales From web_sales Join date_dim On ws_sold_date_sk = d_date_sk Join customer_address On ws_bill_addr_sk = ca_address_sk Join item On ws_item_sk = i_item_sk Where d_year = 2002 And d_moy = 1 And i_category In ('Sports') And ca_gmt_offset = -6 Group By i_manufact_id ) Select i_manufact_id, Sum(total_sales) As total_sales From ( Select * From ss Union All Select * From cs Union All Select * From ws ) As tmp Group By i_manufact_id Order By total_sales Desc Limit 100; | tpcds |
SELECT i_item_id, AVG(ss_list_price) AS agg2, AVG(ss_coupon_amt) AS agg3, AVG(ss_quantity) AS agg1, AVG(ss_sales_price) AS agg4 FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE cd_education_status = 'Primary' AND d_year = 2001 AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'M' AND cd_marital_status = 'D' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
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 it.info = 'mini biography' AND lt.link = 'features' AND t.id = ci.movie_id AND t.production_year BETWEEN 1980 AND 1995 AND lt.id = ml.link_type_id AND pi.person_id = an.person_id AND it.id = pi.info_type_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ml.linked_movie_id = t.id AND n.id = an.person_id AND pi.note = 'Volker Boehm' AND an.name LIKE '%a%' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND ci.movie_id = ml.linked_movie_id AND ci.person_id = n.id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND n.id = pi.person_id | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE t.id = mc.movie_id AND it2.info = 'release dates' AND at.movie_id = mi_idx.movie_id AND cn.country_code = '[us]' AND mi_idx.movie_id = mc.movie_id AND it1.info = 'rating' AND mi_idx.info < '3.5' AND kt.id = t.kind_id AND mi.movie_id = mc.movie_id AND t.id = mi.movie_id AND it2.id = mi.info_type_id AND t.production_year > 2000 AND t.id = at.movie_id AND it1.id = mi_idx.info_type_id AND at.title LIKE '%Champion%' AND cn.id = mc.company_id AND at.movie_id = mi.movie_id AND mi.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND at.movie_id = mc.movie_id AND kt.kind = 'movie' AND mi.info LIKE 'USA:%200%' | 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 n.id = pi.person_id AND it.info = 'mini biography' AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND an.name LIKE '%a%' AND t.production_year BETWEEN 1980 AND 1995 AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.note = 'Volker Boehm' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND n.id = an.person_id AND an.person_id = ci.person_id AND ci.person_id = n.id AND ci.movie_id = ml.linked_movie_id AND pi.person_id = ci.person_id AND t.id = ci.movie_id AND lt.link = 'features' AND lt.id = ml.link_type_id AND ml.linked_movie_id = t.id | 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 r_name = 1 AND s_nationkey = n2.n_nationkey AND c_nationkey = n1.n_nationkey AND o_custkey = c_custkey AND n1.n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND s_suppkey = l_suppkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_partkey = l_partkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE t.id = mi.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND t.production_year > 2008 AND it1.info = 'countries' AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND mi.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mk.movie_id = mi.movie_id AND mi_idx.info < '7.0' AND cn.country_code != '[us]' AND it2.info = 'rating' AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND t.id = mi_idx.movie_id AND mk.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND kt.id = t.kind_id AND mc.note NOT LIKE '%(USA)%' AND it2.id = mi_idx.info_type_id AND cn.id = mc.company_id AND kt.kind IN ('movie', 'episode') AND mc.note LIKE '%(200%)%' AND t.id = mk.movie_id LIMIT 200; | job |
WITH _q AS ( 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.Id = c.PostId AND u.Id = p.OwnerUserId AND p.Score <= 192 AND p.Id = v.PostId AND p.ViewCount >= 0 AND p.Id = ph.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 ci.role_id = rt.id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.note LIKE '%(USA)%' AND t.production_year > 2000 AND ci.person_id = an.person_id AND cn.country_code = '[us]' AND n.id = ci.person_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND an.person_id = n.id AND n.gender = 'f' AND rt.role = 'actress' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND it.id = mi.info_type_id AND chn.id = ci.person_role_id AND mi.movie_id = ci.movie_id AND it.info = 'release dates' AND cn.id = mc.company_id AND t.id = mi.movie_id | job |
SELECT MAX(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND k.keyword LIKE '%sequel%' AND k.id = mk.keyword_id AND t.id = mk.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.production_year > 2005 | job |
SELECT c_custkey, c_acctbal, n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_comment, c_phone, c_address, c_name 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 i_item_id, AVG(cs_quantity) AS agg1, AVG(cs_list_price) AS agg2, AVG(cs_coupon_amt) AS agg3, AVG(cs_sales_price) AS agg4 FROM catalog_sales 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_marital_status = 'S' AND cd_education_status = 'Advanced Degree' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND d_year = 2002 AND cd_gender = 'M' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | 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 ct.kind = 'production companies' AND t.id = mc.movie_id AND it.info = 'bottom 10 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND t.id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.movie_id = mi.movie_id AND it.id = mi.info_type_id | job |
Select i_item_id, i_item_desc, i_current_price From item INNER JOIN inventory On i_item_sk = inv_item_sk INNER JOIN date_dim On d_date_sk = inv_date_sk INNER JOIN catalog_sales On cs_item_sk = i_item_sk Where d_date BETWEEN CAST('2000-05-01' As DATE) AND (CAST('2000-05-01' As DATE) + INTERVAL '60 days') AND inv_quantity_on_hand >= 100 AND inv_quantity_on_hand <= 500 AND i_current_price BETWEEN 100 AND 100 + 30 AND i_manufact_id In (195, 412, 338, 267) Group By i_item_id, i_item_desc, i_current_price Order By i_item_id Limit 100; | tpcds |
SELECT c_custkey, c_name, c_comment, n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, c_address, c_phone FROM customer, orders, lineitem, nation WHERE c_nationkey = n_nationkey AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND o_orderdate >= DATE 1 AND l_returnflag = 'R' GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) AND l_shipdate < l_commitdate AND l_commitdate < l_receiptdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT i_manufact, i_brand_id AS brand_id, i_manufact_id, i_brand AS brand, SUM(ss_ext_sales_price) AS ext_price FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk 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 = 77 AND d_year = 2002 AND d_moy = 11 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 avg(sr_return_quantity) as store_returns_quantityave, i_item_desc, avg(cs_quantity) as catalog_sales_quantityave, STDDEV_SAMP(cs_quantity) / avg(cs_quantity) as catalog_sales_quantitycov, i_item_id, s_state, count(cs_quantity) as catalog_sales_quantitycount, count(ss_quantity) as store_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) / avg(sr_return_quantity) as store_returns_quantitycov, STDDEV_SAMP(ss_quantity) / avg(ss_quantity) as store_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) as store_returns_quantitystdev, avg(ss_quantity) as store_sales_quantityave, STDDEV_SAMP(ss_quantity) as store_sales_quantitystdev, count(sr_return_quantity) as store_returns_quantitycount from store_sales join store_returns on ss_customer_sk = sr_customer_sk and ss_item_sk = sr_item_sk and ss_ticket_number = sr_ticket_number join catalog_sales on sr_customer_sk = cs_bill_customer_sk and sr_item_sk = cs_item_sk join date_dim as d1 on d1.d_date_sk = ss_sold_date_sk join date_dim as d2 on sr_returned_date_sk = d2.d_date_sk join date_dim as d3 on cs_sold_date_sk = d3.d_date_sk join store on ss_store_sk = s_store_sk join item on ss_item_sk = i_item_sk where d1.d_quarter_name = '1999Q2' and d2.d_quarter_name in ('1999Q2', '2002Q2', '1999Q3') and d3.d_quarter_name in ('1999Q2', '2002Q2', '1999Q3') group by i_item_id, i_item_desc, s_state order by i_item_id, i_item_desc, s_state limit 100; | tpcds |
select i_item_id, s_store_id, sum(sr_return_quantity) as store_returns_quantity, sum(cs_quantity) as catalog_sales_quantity, i_item_desc, s_store_name, sum(ss_quantity) as store_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 = 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 s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE l1.l_receiptdate > l1.l_commitdate AND 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 NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND s_nationkey = n_nationkey AND n_name = 1 AND o_orderkey = l1.l_orderkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | 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 it.info = 'bottom 10 rank' AND mc.movie_id = mi.movie_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi.info_type_id AND ct.kind = 'production companies' AND t.id = mi.movie_id | job |
SELECT CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100, total, promotions 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 = 5 ) 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 = -6 AND i_category = 'Home' AND d_year = 2002 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND ca_gmt_offset = -6 AND d_moy = 5 ) AS all_sales AND i_category = 'Home' AND d_year = 2002 AND s_gmt_offset = -6 AND s_gmt_offset = -6 ORDER BY promotions, total 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 n_regionkey = r_regionkey AND r_name = 1 AND s_nationkey = n_nationkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND c_nationkey = s_nationkey AND l_suppkey = s_suppkey GROUP BY n_name ORDER BY revenue DESC | tpch |
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 mi_idx.info > '8.0' and t.production_year between 2000 and 2005 and t.id = mi_idx.movie_id and it.id = mi_idx.info_type_id | job |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE i_category = 'Jewelry' AND d_year = 2001 AND d_year = 2001 AND ca_gmt_offset = -5 AND s_gmt_offset = -5 AND d_moy = 8 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -5 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -5 AND d_moy = 8 ) AS all_sales AND i_category = 'Jewelry' ORDER BY promotions, total 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.name LIKE '%Hemsworth%Chris%' AND t.id = ci.movie_id AND n.id = ci.person_id AND t.id = mk.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.movie_id | job |
SELECT c_first_name, c_salutation, c_last_name, cnt, ss_ticket_number, c_preferred_cust_flag 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_year IN (1999, 2001, 2002) AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND s_county IN ('Williamson County', 'Daviess County', 'Oglethorpe County', 'Maricopa County') 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 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 an.person_id = ci.person_id AND n.id = an.person_id AND ci.movie_id = ml.linked_movie_id AND pi.person_id = ci.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND n.id = pi.person_id AND pi.person_id = an.person_id AND pi.note = 'Volker Boehm' AND ml.linked_movie_id = t.id AND t.id = ci.movie_id AND ci.person_id = n.id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND an.name LIKE '%a%' AND it.info = 'mini biography' AND t.production_year BETWEEN 1980 AND 1995 AND lt.link = 'features' | job |
With ss As ( Select i_manufact_id, Sum(ss_ext_sales_price) As total_sales From store_sales INNER JOIN date_dim On ss_sold_date_sk = d_date_sk INNER JOIN customer_address On ss_addr_sk = ca_address_sk INNER JOIN item On ss_item_sk = i_item_sk Where ca_gmt_offset = -6 And d_moy = 1 And i_category = ANY(ARRAY['Sports']) And d_year = 2002 Group By i_manufact_id ), cs As ( Select i_manufact_id, Sum(cs_ext_sales_price) As total_sales From catalog_sales INNER JOIN date_dim On cs_sold_date_sk = d_date_sk INNER JOIN customer_address On cs_bill_addr_sk = ca_address_sk INNER JOIN item On cs_item_sk = i_item_sk Where d_year = 2002 And d_moy = 1 And i_category In ('Sports') And ca_gmt_offset = -6 Group By i_manufact_id ), ws As ( Select i_manufact_id, Sum(ws_ext_sales_price) As total_sales From web_sales INNER JOIN date_dim On ws_sold_date_sk = d_date_sk INNER JOIN customer_address On ws_bill_addr_sk = ca_address_sk INNER JOIN item On ws_item_sk = i_item_sk Where d_year = 2002 And d_moy = 1 And i_category In ('Sports') And ca_gmt_offset = -6 Group By i_manufact_id ) Select i_manufact_id, Sum(total_sales) As total_sales From ( Select * From ss Union All Select * From cs Union All Select * From ws ) As tmp Group By i_manufact_id Order By total_sales Desc Limit 100; | tpcds |
select c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt from ( select ss_ticket_number, ss_customer_sk, count(*) as cnt from store_sales join date_dim on ss_sold_date_sk = d_date_sk join store on ss_store_sk = s_store_sk join household_demographics on ss_hdemo_sk = hd_demo_sk where s_county in ('Williamson County', 'Daviess County', 'Oglethorpe County', 'Maricopa County') and (hd_buy_potential = '1001-5000' or hd_buy_potential = '5001-10000') and hd_vehicle_count > 0 and d_dom between 1 and 2 and d_year in (1999, 2001, 2002) group by ss_ticket_number, ss_customer_sk ) as dj join customer on ss_customer_sk = c_customer_sk where cnt between 1 and 5 order by cnt desc limit 1000; | tpcds |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE l_suppkey = s_suppkey AND c_nationkey = s_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND c_custkey = o_custkey AND o_orderdate >= DATE 1 AND l_orderkey = o_orderkey AND s_nationkey = n_nationkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT s_store_id, s_store_name, i_item_id, i_item_desc, MAX(sr_net_loss) AS store_returns_loss, MAX(cs_net_profit) AS catalog_sales_profit, MAX(ss_net_profit) AS store_sales_profit FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 5 AND 4 AND d1.d_year = 2000 AND d2.d_moy BETWEEN 5 AND 4 + 3 AND d2.d_year = 2000 AND d3.d_moy BETWEEN 5 AND 4 + 3 AND d3.d_year = 2000 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT l_orderkey, o_orderdate, o_shippriority, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem WHERE l_shipdate > DATE 1 AND c_custkey = o_custkey AND o_orderdate < DATE 1 AND c_mktsegment = 1 AND l_orderkey = o_orderkey GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue ASC, o_orderdate LIMIT 10 | tpch |
WITH year_total AS ( SELECT d_year AS dyear, c_preferred_cust_flag AS customer_preferred_cust_flag, c_last_name AS customer_last_name, c_login AS customer_login, c_first_name AS customer_first_name, c_email_address AS customer_email_address, c_customer_id AS customer_id, 's' AS sale_type, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_birth_country AS customer_birth_country FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year >= 2002 AND d_year <= 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
SELECT MIN(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 t.id = mi_idx.movie_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id | job |
select count(*) 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 p.Score <= 13 AND u.Id = c.UserId AND c.UserId = p.OwnerUserId AND p.OwnerUserId = ph.UserId | stats |
SELECT MAX(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND t.production_year > 2010 AND t.id = mk.movie_id AND k.keyword LIKE '%sequel%' AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.id = mk.keyword_id | job |
select c_last_name, c_preferred_cust_flag, ss_ticket_number, c_first_name, cnt, c_salutation from ( select ss_ticket_number, ss_customer_sk, count(*) as cnt from store_sales join date_dim on ss_sold_date_sk = d_date_sk join store on ss_store_sk = s_store_sk join household_demographics on ss_hdemo_sk = hd_demo_sk where (d_dom >= 1 AND d_dom <= 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) > 1.37 and d_year in (2001, 2002, 2003) and s_county in ('Bronz County', 'Barrow County', 'Jackson County') group by ss_ticket_number, ss_customer_sk ) as dn join customer on ss_customer_sk = c_customer_sk where cnt between 15 and 20 order by c_last_name, c_first_name, c_salutation, cnt desc limit 100; | tpcds |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.id = mk.keyword_id AND t.id = ci.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND n.id = ci.person_id AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 | 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.country_code = '[ru]' AND ci.note LIKE '%(voice)%' AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND rt.id = ci.role_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.production_year > 2005 AND rt.role = 'actor' AND chn.id = ci.person_role_id AND ci.note LIKE '%(uncredited)%' AND cn.id = mc.company_id | job |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE an.person_id = n.id AND k.keyword = 'character-name-in-title' AND ci.movie_id = t.id AND cn.country_code = '[us]' AND ci.movie_id = mc.movie_id AND t.episode_nr < 100 AND t.id = mk.movie_id AND t.id = mc.movie_id AND an.person_id = ci.person_id AND n.id = ci.person_id AND mc.movie_id = mk.movie_id AND mc.company_id = cn.id AND mk.keyword_id = k.id AND ci.movie_id = mk.movie_id AND t.episode_nr >= 50 | 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 t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'top 250 rank' AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND ct.id = mc.company_type_id | job |
SELECT MAX(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 it.id = mi.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND t.id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id | 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 = p.OwnerUserId AND p.ViewCount >= 0 AND p.Id = c.PostId AND p.Score <= 192 AND u.Id = b.UserId AND p.Id = v.PostId AND p.Id = ph.PostId | stats |
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 it2.id = mi_idx.info_type_id AND kt.kind IN ('movie', 'episode') AND ct.id = mc.company_type_id AND mi_idx.info < '7.0' AND mc.movie_id = mi_idx.movie_id AND cn.id = mc.company_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND it2.info = 'rating' AND k.id = mk.keyword_id AND mc.note NOT LIKE '%(USA)%' AND cn.country_code != '[us]' AND mi.movie_id = mc.movie_id AND t.production_year > 2008 AND mi.info IN ('Germany', 'German', 'USA', 'American') AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND t.id = mc.movie_id AND mk.movie_id = mc.movie_id AND mc.note LIKE '%(200%)%' AND it1.id = mi.info_type_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND kt.id = t.kind_id AND t.id = mk.movie_id AND it1.info = 'countries' | job |
SELECT cnt, c_last_name, c_first_name, c_salutation, ss_ticket_number, c_preferred_cust_flag FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE s_county IN ('Franklin County', 'Jefferson County', 'Oglethorpe County', 'Maricopa County') AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND d_year = ANY(ARRAY[2001, 2000, 2003]) 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 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.id = mi.info_type_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND mc.movie_id = mi.movie_id AND ct.kind = 'production companies' AND it.info = 'bottom 10 rank' | 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 = mi.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND k.keyword like '%sequel%' AND mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.production_year > 2000 | 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.id = ci.person_id AND t.id = ci.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND k.id = mk.keyword_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND t.production_year > 2010 LIMIT 1000; | 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 ci.note LIKE '%(voice)%' AND rt.role = 'actor' AND cn.id = mc.company_id 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 AND cn.country_code = '[ru]' AND ct.id = mc.company_type_id AND t.production_year > 2005 AND t.id = mc.movie_id | job |
SELECT promotions, total, CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100 FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND ca_gmt_offset = -6 AND d_moy = 12 ) AS all_sales AND i_category = 'Jewelry' AND s_gmt_offset = -6 AND i_category = 'Jewelry' AND d_year = 2002 AND d_year = 2002 AND s_gmt_offset = -6 AND d_moy = 12 ) 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 ORDER BY promotions, total LIMIT 100; | tpcds |
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 n.id = ci.person_id and t.id = mk.movie_id and mc.note not like '%(USA)%' and n.gender = 'f' and ct.id = mc.company_type_id and k.keyword = 'anime' and cn.country_code = '[jp]' and t.id = mc.movie_id and ci.note like '%(voice: English version)%' and ci.person_id = an.person_id and ci.movie_id = mc.movie_id and mk.movie_id = ci.movie_id and k.id = mk.keyword_id and ci.role_id = rt.id and mk.movie_id = mc.movie_id and an.person_id = n.id and mc.note like '%(Japan)%' and t.id = ci.movie_id and rt.role = 'actress' and cn.id = mc.company_id and t.production_year > 1990 | job |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where k.keyword like '%sequel%' and t.id = mi.movie_id and mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') and k.id = mk.keyword_id and t.production_year > 2005 and mk.movie_id = mi.movie_id and t.id = mk.movie_id | job |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE mi.movie_id = mc.movie_id AND cn.country_code = '[us]' AND it.info = 'release dates' AND mc.note LIKE '%(USA)%' AND cn.id = mc.company_id AND n.id = ci.person_id AND rt.role = 'actress' AND n.gender = 'f' AND an.person_id = n.id AND t.production_year > 2000 AND it.id = mi.info_type_id AND t.id = ci.movie_id AND t.id = mi.movie_id AND ci.role_id = rt.id AND ci.person_id = an.person_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = mc.movie_id AND chn.id = ci.person_role_id AND mi.movie_id = ci.movie_id AND ci.movie_id = mc.movie_id | job |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, users as u where u.Id = p.OwnerUserId and p.Id = v.PostId and p.Id = pl.PostId and p.PostTypeId = 1 and p.Id = c.PostId and p.Id = ph.PostId and p.AnswerCount >= 0 | stats |
SELECT SUM(l_extendedprice * (1 - l_discount)) AS revenue, n_name, c_name, c_address, c_phone, c_acctbal, c_comment, c_custkey FROM customer, orders, lineitem, nation WHERE o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND c_nationkey = n_nationkey AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND l_returnflag = 'R' GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue ASC LIMIT 20 | tpch |
Select p_brand, p_type, p_size, Count(Distinct ps_suppkey) As supplier_cnt From partsupp, part Where p_size = ANY(ARRAY[1, 1, 1, 1, 1, 1, 1, 1]) AND p_brand <> 1 AND p_type Not Like 1 AND ps_suppkey Not In ( Select s_suppkey From supplier Where s_comment Like '%Customer%Complaints%' ) AND p_partkey = ps_partkey Group By p_brand, p_type, p_size Order By supplier_cnt Desc, p_brand, p_type, p_size | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' | job |
SELECT MIN(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 = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id AND it.id = mi.info_type_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi.movie_id AND it.info = 'bottom 10 rank' | 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.id = mc.movie_id and rt.role = 'actor' and ct.id = mc.company_type_id and rt.id = ci.role_id and chn.id = ci.person_role_id and t.production_year > 2005 and cn.country_code = '[ru]' and t.id = ci.movie_id and ci.movie_id = mc.movie_id and cn.id = mc.company_id and ci.note like '%(uncredited)%' and ci.note like '%(voice)%' | job |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE s_suppkey = l_suppkey AND o_orderkey = l_orderkey AND c_custkey = o_custkey AND c_nationkey = n2.n_nationkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND s_nationkey = n1.n_nationkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
Select 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 rt.role = 'actor' AND cn.country_code = '[ru]' AND t.id = mc.movie_id AND chn.id = ci.person_role_id AND ci.note Like '%(voice)%' AND rt.id = ci.role_id AND ci.note Like '%(uncredited)%' AND ct.id = mc.company_type_id AND ci.movie_id = mc.movie_id AND cn.id = mc.company_id AND t.id = ci.movie_id | 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 c_nationkey = n1.n_nationkey AND p_type = 1 ) AS all_nations AND s_nationkey = n2.n_nationkey AND o_custkey = c_custkey AND n1.n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND r_name = 1 GROUP BY o_year ORDER BY o_year LIMIT 200; | tpch |
Select c_count, Count(1) As custdist From ( Select c_custkey, Count(o_orderkey) As c_count From customer LEFT INNER 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 Desc, c_count Desc | tpch |
SELECT n_name, c_name, c_custkey, c_address, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_phone, c_comment, c_acctbal 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 l_year, SUM(volume) AS revenue, cust_nation, supp_nation FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND c_custkey = o_custkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_nationkey = n1.n_nationkey AND c_nationkey = n2.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND s_suppkey = l1.l_suppkey AND 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 EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND l1.l_receiptdate > l1.l_commitdate GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
select c_count, count(*) as custdist from ( select c_custkey, count(o_orderkey) as c_count from customer left outer 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 desc, c_count desc limit 20; | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey 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 l1.l_receiptdate > l1.l_commitdate AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND o_orderkey = l1.l_orderkey AND s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | 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 an1.person_id = ci.person_id AND cn.country_code = '[jp]' AND n1.id = ci.person_id AND mc.company_id = cn.id AND t.id = mc.movie_id AND ci.role_id = rt.id AND mc.note not like '%(USA)%' AND ci.note = '(voice: English version)' AND ci.movie_id = mc.movie_id AND ci.movie_id = t.id AND n1.name like '%Yo%' AND rt.role = 'actress' AND mc.note like '%(Japan)%' AND an1.person_id = n1.id AND n1.name not like '%Yu%' | 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 t.id = mc.movie_id AND ci.note = '(voice: English version)' AND n1.name NOT LIKE '%Yu%' AND cn.country_code = '[jp]' AND ci.role_id = rt.id AND n1.id = ci.person_id AND n1.name LIKE '%Yo%' AND an1.person_id = ci.person_id AND an1.person_id = n1.id AND rt.role = 'actress' AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = t.id AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(Japan)%' | job |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE mk.movie_id = ci.movie_id AND ci.role_id = rt.id AND t.id = ci.movie_id AND rt.role = 'actress' AND n.id = ci.person_id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND mk.movie_id = mc.movie_id AND an.person_id = n.id AND k.id = mk.keyword_id AND cn.id = mc.company_id AND k.keyword = 'anime' AND t.production_year > 1990 AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(Japan)%' AND n.gender = 'f' AND t.id = mk.movie_id AND ci.movie_id = mc.movie_id AND cn.country_code = '[jp]' AND ci.note LIKE '%(voice: English version)%' AND ci.person_id = an.person_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 p.Id = ph.PostId AND p.Id = c.PostId AND pl.LinkTypeId = 1 AND p.Id = v.PostId AND p.Id = pl.RelatedPostId AND c.UserId = u.Id AND p.Score <= 40 AND b.UserId = u.Id | stats |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword = 'character-name-IN-title' AND an.person_id = ci.person_id AND t.id = mc.movie_id AND an.person_id = n.id AND cn.country_code = '[us]' AND t.episode_nr >= 50 AND ci.movie_id = mc.movie_id AND mc.movie_id = mk.movie_id AND t.episode_nr < 100 AND mk.keyword_id = k.id AND t.id = mk.movie_id AND mc.company_id = cn.id AND ci.movie_id = t.id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id | job |
select s_store_id, i_item_desc, max(sr_net_loss) as store_returns_loss, max(ss_net_profit) as store_sales_profit, max(cs_net_profit) as catalog_sales_profit, s_store_name, i_item_id from store_sales join store_returns on store_sales.ss_customer_sk = store_returns.sr_customer_sk and store_sales.ss_item_sk = store_returns.sr_item_sk and store_sales.ss_ticket_number = store_returns.sr_ticket_number join catalog_sales on store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk and store_returns.sr_item_sk = catalog_sales.cs_item_sk join date_dim as d1 on store_sales.ss_sold_date_sk = d1.d_date_sk join date_dim as d2 on store_returns.sr_returned_date_sk = d2.d_date_sk join date_dim as d3 on catalog_sales.cs_sold_date_sk = d3.d_date_sk join store on store_sales.ss_store_sk = store.s_store_sk join item on store_sales.ss_item_sk = item.i_item_sk where d1.d_moy between 2 and 8 and d1.d_year = 2002 and d2.d_moy between 2 and 8 + 3 and d2.d_year = 2002 and d3.d_moy between 2 and 8 + 3 and d3.d_year = 2002 group by i_item_id, i_item_desc, s_store_id, s_store_name order by i_item_id, i_item_desc, s_store_id, s_store_name limit 100; | tpcds |
Select 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 d_moy = 11 And i_manager_id = 77 And substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) And d_year = 2002 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 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.movie_id = mc.movie_id AND cn.country_code = '[ru]' AND t.production_year > 2005 AND ci.note LIKE '%(uncredited)%' AND rt.role = 'actor' AND chn.id = ci.person_role_id AND ct.id = mc.company_type_id AND rt.id = ci.role_id AND ci.note LIKE '%(voice)%' AND cn.id = mc.company_id AND t.id = ci.movie_id AND t.id = mc.movie_id | job |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE p.ViewCount >= 0 AND p.Id = v.PostId AND p.Score <= 192 AND u.Id = p.OwnerUserId AND u.Id = b.UserId AND p.Id = c.PostId AND p.Id = ph.PostId 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_nationkey = n_nationkey AND s_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND ps_partkey = l_partkey AND ps_suppkey = l_suppkey AND o_orderkey = l_orderkey AND p_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year ASC | 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 chn.id = ci.person_role_id AND mi.movie_id = ci.movie_id AND cn.country_code = '[us]' AND ci.movie_id = mc.movie_id AND it.info = 'release dates' AND t.production_year > 2000 AND ci.role_id = rt.id AND rt.role = 'actress' AND n.gender = 'f' AND an.person_id = n.id AND ci.person_id = an.person_id AND it.id = mi.info_type_id AND t.id = mi.movie_id AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND t.id = ci.movie_id AND mc.note LIKE '%(USA)%' AND t.id = mc.movie_id AND n.id = ci.person_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') | 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 t.id = ci.movie_id AND cn.country_code = '[ru]' AND ci.movie_id = mc.movie_id AND ci.note LIKE '%(uncredited)%' AND chn.id = ci.person_role_id AND ci.note LIKE '%(voice)%' AND cn.id = mc.company_id AND rt.id = ci.role_id AND t.id = mc.movie_id AND rt.role = 'actor' AND ct.id = mc.company_type_id | job |
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