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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 inv_quantity_on_hand BETWEEN 100 AND 500 AND i_current_price <= 100 + 30 AND i_current_price >= 100 AND i_manufact_id IN (195, 412, 338, 267) AND d_date BETWEEN CAST('2000-05-01' AS DATE) AND (CAST('2000-05-01' AS DATE) + INTERVAL '60 days') GROUP BY i_item_id, i_item_desc, i_current_price ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT 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 p_partkey = l_partkey 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 s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
WITH _q AS ( SELECT i_item_desc, i_current_price, i_item_id 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 i_current_price BETWEEN 73 AND 73 + 30 AND d_date BETWEEN CAST('1998-01-15' AS DATE) AND (CAST('1998-01-15' AS DATE) + INTERVAL '60 days') AND i_manufact_id IN (494, 188, 70, 301) 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 ) SELECT * FROM _q; | 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 t.id = mk.movie_id AND n.id = ci.person_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND k.id = mk.keyword_id AND n.name LIKE '%Hemsworth%Chris%' AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id | job |
SELECT c_last_name, c_preferred_cust_flag, c_salutation, cnt, ss_ticket_number, c_first_name FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_year IN (2001, 2002, 2003) AND s_county IN ('Bronz County', 'Barrow County', 'Jackson County') AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND hd_vehicle_count > 0 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 GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
SELECT MIN(cn.name) AS 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 it.info = 'release dates' AND ml.movie_id = mc.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND cn.country_code = '[us]' AND mi.info LIKE 'USA:% 199%' AND t.id = mk.movie_id AND mi.note LIKE '%internet%' AND cn.id = mc.company_id AND mi.movie_id = t.id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.production_year > 1950 AND ct.id = mc.company_type_id AND lt.id = ml.link_type_id AND t.id = ml.movie_id AND it.id = mi.info_type_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND lt.link LIKE '%follow%' AND ml.movie_id = mk.movie_id AND ml.movie_id = mi.movie_id AND mc.note LIKE '%(USA)%' AND t.id = mc.movie_id | job |
Select p_brand, p_type, p_size, Count(Distinct ps_suppkey) As supplier_cnt From partsupp, part Where ps_suppkey Not In ( Select s_suppkey From supplier Where s_comment Like '%Customer%Complaints%' ) AND p_size In (1, 1, 1, 1, 1, 1, 1, 1) AND p_brand != 1 AND p_partkey = ps_partkey AND p_type Not Like 1 Group By p_brand, p_type, p_size Order By supplier_cnt Desc, p_brand, p_type, p_size | 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 mk.keyword_id = k.id AND k.keyword ='character-name-in-title' AND cn.country_code ='[sm]' AND mc.movie_id = t.id AND cn.id = mc.company_id AND t.id = mk.movie_id | job |
Select Min(cn.name) As movie_company, Min(mi_idx.info) As rating, Min(t.title) As western_violent_movie From company_name As cn, company_type As ct, info_type As it1, info_type As it2, keyword As k, kind_type As kt, movie_companies As mc, movie_info As mi, movie_info_idx As mi_idx, movie_keyword As mk, title As t Where kt.id = t.kind_id And cn.id = mc.company_id And mk.movie_id = mi_idx.movie_id And k.keyword In ('murder', 'murder-In-title', 'blood', 'violence') And mc.note Not Like '%(USA)%' And mc.movie_id = mi_idx.movie_id And t.id = mi_idx.movie_id And mc.note Like '%(200%)%' And k.id = mk.keyword_id And t.id = mk.movie_id And ct.id = mc.company_type_id And kt.kind In ('movie', 'episode') And cn.country_code != '[us]' And it1.info = 'countries' And it1.id = mi.info_type_id And mi.movie_id = mc.movie_id And mi.movie_id = mi_idx.movie_id And it2.info = 'rating' And mi_idx.info < '7.0' And mk.movie_id = mi.movie_id And mi.info In ('Germany', 'German', 'USA', 'American') And t.id = mc.movie_id And mk.movie_id = mc.movie_id And t.id = mi.movie_id And it2.id = mi_idx.info_type_id And t.production_year > 2008 | job |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, users AS u WHERE p.Id = c.PostId AND p.Id = pl.PostId AND p.PostTypeId = 1 AND p.Id = v.PostId AND u.Id = p.OwnerUserId AND p.Id = ph.PostId AND p.AnswerCount >= 0 | stats |
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 pl.LinkTypeId = 1 And p.Id = ph.PostId And p.Id = v.PostId And b.UserId = u.Id And c.UserId = u.Id And p.Id = pl.RelatedPostId And p.Score <= 40 LIMIT 50; | stats |
SELECT MIN(t.production_year) AS movie_year, MIN(mc.note) AS production_note, MIN(t.title) AS movie_title FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id | job |
SELECT COUNT(ss_quantity) AS store_sales_quantitycount, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, i_item_id, i_item_desc, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, AVG(sr_return_quantity) AS store_returns_quantityave, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, s_state, AVG(ss_quantity) AS store_sales_quantityave FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '2000Q1' AND d2.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') AND d3.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE 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_type LIKE 1 AND s_nationkey = n_nationkey AND p_size = 1 AND r_name = 1 AND s_suppkey = ps_suppkey AND p_partkey = ps_partkey AND n_regionkey = r_regionkey ORDER BY s_acctbal ASC, n_name, s_name, p_partkey 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 ci.role_id = rt.id AND mc.note NOT LIKE '%(USA)%' AND an1.person_id = n1.id AND n1.name LIKE '%Yo%' AND t.id = mc.movie_id AND cn.country_code = '[jp]' AND ci.movie_id = mc.movie_id AND n1.id = ci.person_id AND n1.name NOT LIKE '%Yu%' AND mc.note LIKE '%(Japan)%' AND an1.person_id = ci.person_id AND rt.role = 'actress' AND mc.company_id = cn.id AND ci.movie_id = t.id AND ci.note = '(voice: English version)' | job |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_shipdate < l_commitdate AND l_commitdate < l_receiptdate AND l_receiptdate >= DATE 1 AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) AND o_orderkey = l_orderkey GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT i_brand AS brand, i_manufact_id, i_brand_id AS brand_id, SUM(ss_ext_sales_price) AS ext_price, i_manufact FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE d_year = 2002 AND i_manager_id = 77 AND d_moy = 11 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) GROUP BY i_brand, i_brand_id, i_manufact_id, i_manufact ORDER BY ext_price ASC, brand, brand_id, i_manufact_id, i_manufact LIMIT 100; | tpcds |
SELECT 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 n.id = ci.person_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND t.id = ci.movie_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 p.Id = v.PostId And u.Id = b.UserId And p.Id = ph.PostId And u.Id = p.OwnerUserId And p.ViewCount >= 0 And p.Score <= 192 And p.Id = c.PostId | 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.country_code ='[nl]' AND k.keyword ='character-name-in-title' AND mc.movie_id = t.id AND cn.id = mc.company_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id LIMIT 200; | 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.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND ct.kind = 'production companies' AND it.info = 'top 250 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id | job |
SELECT SUM(amount) AS sum_profit, nation, o_year 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 p_name LIKE 1 ) AS profit AND ps_partkey = l_partkey AND s_suppkey = l_suppkey AND s_nationkey = n_nationkey AND p_partkey = l_partkey AND ps_suppkey = l_suppkey AND o_orderkey = l_orderkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE s_nationkey = n_nationkey AND ps_partkey = l_partkey AND ps_suppkey = l_suppkey AND o_orderkey = l_orderkey AND p_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND s_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | 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 (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi.info_type_id AND t.id = mi.movie_id AND it.info = 'bottom 10 rank' AND t.id = mc.movie_id AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi.movie_id LIMIT 200; | 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_partkey = ps_partkey AND n_regionkey = r_regionkey AND r_name = 1 AND s_nationkey = n_nationkey AND 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 p_size = 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 ci.note LIKE '%(uncredited)%' AND ct.id = mc.company_type_id AND ci.movie_id = mc.movie_id AND ci.note LIKE '%(voice)%' AND cn.country_code = '[ru]' AND t.id = ci.movie_id AND rt.role = 'actor' AND t.id = mc.movie_id AND t.production_year > 2005 AND rt.id = ci.role_id AND chn.id = ci.person_role_id AND cn.id = mc.company_id | job |
SELECT COUNT(sr_return_quantity) AS store_returns_quantitycount, COUNT(ss_quantity) AS store_sales_quantitycount, s_state, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, i_item_desc, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, i_item_id, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, AVG(cs_quantity) AS catalog_sales_quantityave, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev 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 = '2000Q1' AND d2.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') AND d3.d_quarter_name IN ('2000Q1', '1999Q3', '2002Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
Select Sum(l_quantity), c_custkey, o_orderkey, c_name, o_totalprice, o_orderdate From customer, orders, lineitem Where o_orderkey In ( Select l_orderkey From lineitem Group By l_orderkey Having Sum(l_quantity) > 1 ) And c_custkey = o_custkey And o_orderkey = l_orderkey Group By c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice Order By o_totalprice Desc, o_orderdate Limit 100 | tpch |
SELECT 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 c.UserId = u.Id AND p.Id = pl.RelatedPostId AND p.Id = c.PostId AND p.Id = v.PostId AND p.Score <= 40 AND pl.LinkTypeId = 1 AND b.UserId = u.Id | stats |
SELECT COUNT(*) FROM comments AS c, posts AS p, users AS u WHERE p.CommentCount >= 0 AND c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND p.ViewCount >= 0 AND p.FavoriteCount >= 0 AND u.Id = p.OwnerUserId AND c.UserId = u.Id LIMIT 500; | 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 mi.movie_id = mc.movie_id AND t.production_year > 2000 AND t.id = ci.movie_id AND n.id = ci.person_id AND it.id = mi.info_type_id AND ci.movie_id = mc.movie_id AND mi.movie_id = ci.movie_id AND it.info = 'release dates' AND t.id = mc.movie_id AND ci.role_id = rt.id AND cn.country_code = '[us]' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND chn.id = ci.person_role_id AND ci.person_id = an.person_id AND mc.note LIKE '%(USA)%' AND rt.role = 'actress' AND n.gender = 'f' AND an.person_id = n.id AND cn.id = mc.company_id AND t.id = mi.movie_id | job |
WITH _q AS ( SELECT i_item_id, w_state, SUM(CASE WHEN (CAST(d_date AS DATE) >= CAST('1998-01-01' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_after, SUM(CASE WHEN (CAST(d_date AS DATE) < CAST('1998-01-01' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_before FROM catalog_sales LEFT OUTER JOIN catalog_returns ON cs_order_number = cr_order_number AND cs_item_sk = cr_item_sk JOIN warehouse ON cs_warehouse_sk = w_warehouse_sk JOIN item ON i_item_sk = cs_item_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk WHERE i_current_price BETWEEN 6.75 AND 6.75 + 1.49 AND d_date BETWEEN (CAST('1998-01-01' AS DATE) - INTERVAL '30 days') AND (CAST('1998-01-01' AS DATE) + INTERVAL '30 days') GROUP BY w_state, i_item_id ORDER BY w_state, i_item_id LIMIT 100 ) SELECT * FROM _q; | tpcds |
SELECT p_mfgr, s_name, s_phone, p_partkey, s_address, n_name, s_comment, s_acctbal FROM part, supplier, partsupp, nation, region WHERE r_name = 1 AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 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 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
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.production_year > 1950 And ml.movie_id = mc.movie_id And t.id = mc.movie_id And mc.note Like '%(USA)%' And mc.note Not Like '%(As Metro-Goldwyn-Mayer Pictures)%' And it.info = 'release dates' And ct.id = mc.company_type_id And t.id = mk.movie_id And mi.note Like '%internet%' And it.id = mi.info_type_id And k.keyword In ('sequel', 'revenge', 'based-On-novel') And mk.movie_id = mc.movie_id And mi.movie_id = t.id And ml.movie_id = mi.movie_id And cn.country_code = '[us]' And lt.id = ml.link_type_id And t.id = ml.movie_id And k.id = mk.keyword_id And ml.movie_id = mk.movie_id And lt.link Like '%follow%' And mi.info Like 'USA:% 199%' And cn.id = mc.company_id | job |
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_nationkey = n_nationkey AND ps_partkey = l_partkey AND p_name LIKE 1 ) AS profit AND s_suppkey = l_suppkey 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 DESC | tpch |
SELECT o_shippriority, o_orderdate, SUM(l_extendedprice * (1 - l_discount)) AS revenue, l_orderkey FROM customer, orders, lineitem WHERE o_orderdate < DATE 1 AND l_orderkey = o_orderkey AND c_mktsegment = 1 AND c_custkey = o_custkey AND l_shipdate > DATE 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate; | 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 t.production_year >= 2000 AND it.id = mi_idx.info_type_id AND t.production_year <= 2010 AND t.id = mi_idx.movie_id AND it.info ='rating' AND mi_idx.info > '7.0' | 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 ml.linked_movie_id = t.id AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1980 AND 1995 AND pi.person_id = an.person_id AND t.id = ci.movie_id AND lt.id = ml.link_type_id AND ci.movie_id = ml.linked_movie_id AND pi.person_id = ci.person_id AND it.info = 'mini biography' AND n.id = pi.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND an.person_id = ci.person_id AND it.id = pi.info_type_id AND ci.person_id = n.id AND an.name LIKE '%a%' AND n.id = an.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND lt.link = 'features' | job |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE s_nationkey = n_nationkey AND o_orderkey = l_orderkey AND p_name LIKE 1 ) AS profit AND p_partkey = l_partkey AND s_suppkey = l_suppkey AND ps_partkey = l_partkey AND ps_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | 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.production_year > 2008 AND mc.note NOT LIKE '%(USA)%' AND it1.id = mi.info_type_id AND t.id = mc.movie_id AND it1.info = 'countries' AND cn.id = mc.company_id AND mk.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mi.movie_id = mc.movie_id AND it2.id = mi_idx.info_type_id AND mi_idx.info < '7.0' AND kt.kind IN ('movie', 'episode') AND mc.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND kt.id = t.kind_id AND k.id = mk.keyword_id AND it2.info = 'rating' AND mc.note LIKE '%(200%)%' AND cn.country_code != '[us]' AND mi.movie_id = mi_idx.movie_id | job |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE t.id = mc.movie_id AND t.id = ci.movie_id AND ct.id = mc.company_type_id AND chn.id = ci.person_role_id AND rt.role = 'actor' AND ci.movie_id = mc.movie_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND t.production_year > 2005 AND cn.country_code = '[ru]' AND ci.note LIKE '%(voice)%' AND ci.note LIKE '%(uncredited)%' | 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 mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND it2.id = mi.info_type_id AND mi.info LIKE 'USA:%200%' AND t.id = mi.movie_id AND kt.kind = 'movie' AND t.id = mc.movie_id AND mi_idx.movie_id = mc.movie_id AND at.movie_id = mc.movie_id AND t.id = mi_idx.movie_id AND it1.id = mi_idx.info_type_id AND at.movie_id = mi_idx.movie_id AND mi_idx.info < '3.5' AND mi.movie_id = mi_idx.movie_id AND at.title LIKE '%Champion%' AND it2.info = 'release dates' AND t.production_year > 2000 AND kt.id = t.kind_id AND t.id = at.movie_id AND it1.info = 'rating' AND cn.country_code = '[us]' AND at.movie_id = mi.movie_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 k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND lt.link LIKE '%follow%' AND t.id = mc.movie_id AND mk.movie_id = mc.movie_id AND t.id = ml.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND lt.id = ml.link_type_id AND mc.note LIKE '%(USA)%' AND ct.id = mc.company_type_id AND t.production_year > 1950 AND mi.note LIKE '%internet%' AND ml.movie_id = mc.movie_id AND cn.id = mc.company_id AND mi.movie_id = t.id AND cn.country_code = '[us]' AND it.info = 'release dates' AND ml.movie_id = mk.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND mi.info LIKE 'USA:% 199%' AND ml.movie_id = mi.movie_id AND it.id = mi.info_type_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 ml.movie_id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND cn.country_code = '[us]' AND t.production_year > 1950 AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mk.movie_id AND t.id = ml.movie_id AND it.id = mi.info_type_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND t.id = mc.movie_id AND it.info = 'release dates' AND ct.id = mc.company_type_id AND mi.movie_id = t.id AND mc.note LIKE '%(USA)%' AND t.id = mk.movie_id AND cn.id = mc.company_id AND mi.note LIKE '%internet%' AND mi.info LIKE 'USA:% 199%' AND ml.movie_id = mi.movie_id AND lt.link LIKE '%follow%' AND lt.id = ml.link_type_id | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND it.info = 'top 250 rank' AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id 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 p.Id = c.PostId AND b.UserId = u.Id AND p.Id = ph.PostId AND p.Id = v.PostId AND c.UserId = u.Id AND p.Id = pl.RelatedPostId AND pl.LinkTypeId = 1 AND p.Score <= 40 | stats |
SELECT MAX(n.name) AS of_person, MAX(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 n.name_pcode_cf BETWEEN 'A' AND 'F' AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.person_id = n.id AND n.id = an.person_id AND it.id = pi.info_type_id AND n.id = pi.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND t.production_year BETWEEN 1980 AND 1995 AND an.name LIKE '%a%' AND t.id = ci.movie_id AND lt.link = 'features' AND it.info = 'mini biography' AND ci.movie_id = ml.linked_movie_id AND pi.person_id = an.person_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 mc.movie_id = t.id AND mk.keyword_id = k.id AND cn.country_code ='[de]' AND cn.id = mc.company_id AND k.keyword ='character-name-in-title' AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id LIMIT 100; | 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_suppkey = l_suppkey AND s_nationkey = n2.n_nationkey AND o_custkey = c_custkey AND l_orderkey = o_orderkey 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 Group By o_year Order By o_year | tpch |
SELECT bought_city, c_last_name, ss_ticket_number, extended_price, ca_city, extended_tax, c_first_name, list_price FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE s_city IN ('Five Points', 'Springfield') AND (hd_dep_count = 6 OR hd_vehicle_count = 2) AND d_dow IN (6, 0) AND d_year IN (2001, 2000, 2002) GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT MIN(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 (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.kind = 'production companies' AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'bottom 10 rank' AND mc.movie_id = mi.movie_id AND t.id = mi.movie_id | job |
SELECT MIN(miidx.info) AS rating, MIN(t.title) AS german_movie, MIN(mi.info) AS release_date FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE ct.id = mc.company_type_id AND mc.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND it2.id = mi.info_type_id AND mi.movie_id = t.id AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND ct.kind = 'production companies' AND it2.info = 'release dates' AND kt.kind = 'movie' AND it.info = 'rating' AND kt.id = t.kind_id AND miidx.movie_id = mc.movie_id AND miidx.movie_id = t.id AND cn.country_code = '[de]' | job |
SELECT ca_city, list_price, extended_price, extended_tax, c_first_name, bought_city, c_last_name, ss_ticket_number FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 6 OR hd_vehicle_count = 2) AND d_dow IN (6, 0) AND d_year IN (2001, 2000, 2002) AND s_city IN ('Five Points', 'Springfield') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT MIN(mc.note) AS production_note, MIN(t.production_year) AS movie_year, MIN(t.title) AS movie_title FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' | 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 it.id = pi.info_type_id AND lt.id = ml.link_type_id AND ci.person_id = n.id AND lt.link = 'features' AND t.id = ci.movie_id AND n.name_pcode_cf >= 'A' AND n.id = pi.person_id AND an.person_id = ci.person_id AND pi.note = 'Volker Boehm' AND it.info = 'mini biography' AND an.name LIKE '%a%' AND n.id = an.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND n.name_pcode_cf <= 'F' AND ml.linked_movie_id = t.id AND pi.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id AND pi.person_id = an.person_id AND t.production_year >= 1980 AND t.production_year <= 1995 | job |
WITH year_total AS ( SELECT c_last_name AS customer_last_name, c_login AS customer_login, c_preferred_cust_flag AS customer_preferred_cust_flag, c_birth_country AS customer_birth_country, c_first_name AS customer_first_name, c_customer_id AS customer_id, 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, d_year AS dyear, 's' AS sale_type 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 min(t.title) as biography_movie, min(n.name) as of_person 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 ci.movie_id = ml.linked_movie_id AND t.id = ci.movie_id AND pi.note = 'Volker Boehm' AND ci.person_id = n.id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND t.production_year BETWEEN 1980 AND 1995 AND lt.link = 'features' AND n.id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND pi.person_id = an.person_id AND ml.linked_movie_id = t.id AND n.id = pi.person_id AND it.info = 'mini biography' AND lt.id = ml.link_type_id AND (n.gender = 'm' or (n.gender = 'f' and n.name like 'B%')) AND an.name like '%a%' AND it.id = pi.info_type_id | job |
SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_type NOT LIKE 1 AND p_partkey = ps_partkey AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_brand <> 1 AND NOT EXISTS (SELECT 1 FROM (SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%') AS _ne WHERE _ne.ps_suppkey = ps_suppkey) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
select count(*) from comments as c, posts as p, postLinks as pl where p.Id = pl.PostId and c.UserId = p.OwnerUserId and p.CommentCount <= 18 and p.CreationDate >= '2010-07-23 07:27:31'::timestamp and p.CreationDate <= '2014-09-09 01:43:00'::timestamp limit 500; | stats |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, SUM(ss_quantity) AS store_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, SUM(cs_quantity) AS catalog_sales_quantity FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d2.d_moy BETWEEN 5 AND 5 + 3 AND d3.d_year = 2000 AND d2.d_year = 2000 AND d1.d_year = 2000 AND d1.d_moy = 5 AND d3.d_moy BETWEEN 5 AND 5 + 3 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE rt.role = 'actress' AND ci.role_id = rt.id AND it.id = mi.info_type_id AND t.production_year > 2000 AND t.id = mi.movie_id AND mc.note LIKE '%(USA)%' AND mi.movie_id = ci.movie_id AND t.id = ci.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND cn.country_code = '[us]' AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND cn.id = mc.company_id AND n.gender = 'f' AND it.info = 'release dates' AND n.id = ci.person_id AND mi.movie_id = mc.movie_id AND ci.person_id = an.person_id AND t.id = mc.movie_id | job |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE t.id = mk.movie_id AND k.keyword = 'character-name-in-title' AND an.person_id = ci.person_id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.episode_nr < 100 AND mc.company_id = cn.id AND t.episode_nr >= 50 AND ci.movie_id = mk.movie_id AND cn.country_code = '[us]' AND ci.movie_id = mc.movie_id AND mk.keyword_id = k.id AND an.person_id = n.id AND t.id = mc.movie_id AND mc.movie_id = mk.movie_id | job |
SELECT s_store_name, i_item_id, MAX(sr_net_loss) AS store_returns_loss, s_store_id, MAX(ss_net_profit) AS store_sales_profit, MAX(cs_net_profit) AS catalog_sales_profit, 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 2 AND 8 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 2 AND 8 + 3 AND d3.d_year = 2002 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT MIN(t.title) AS western_sequel, MIN(lt.link) AS link_type, MIN(cn.name) AS from_company 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 ct.id = mc.company_type_id AND mi.info LIKE 'USA:% 199%' AND cn.id = mc.company_id AND mi.movie_id = t.id AND mk.movie_id = mc.movie_id AND ml.movie_id = mc.movie_id AND it.id = mi.info_type_id AND t.id = ml.movie_id AND it.info = 'release dates' AND mc.note LIKE '%(USA)%' AND lt.id = ml.link_type_id AND t.id = mc.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND ml.movie_id = mi.movie_id AND lt.link LIKE '%follow%' AND k.id = mk.keyword_id AND t.production_year > 1950 AND ml.movie_id = mk.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND cn.country_code = '[us]' AND t.id = mk.movie_id AND mi.note LIKE '%internet%' | job |
SELECT i_item_id, i_item_desc, s_store_id, s_store_name, MAX(ss_net_profit) AS store_sales_profit, MAX(sr_net_loss) AS store_returns_loss, MAX(cs_net_profit) AS catalog_sales_profit FROM store_sales 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 d2.d_year = 2002 AND d2.d_moy BETWEEN 3 AND 7 + 3 AND d1.d_year = 2002 AND d3.d_moy BETWEEN 3 AND 7 + 3 AND d3.d_year = 2002 AND d1.d_moy BETWEEN 3 AND 7 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(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 ct.kind = 'production companies' AND t.id = mc.movie_id AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi_idx.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | 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 an.person_id = n.id AND mk.keyword_id = k.id AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND k.keyword = 'character-name-in-title' AND t.episode_nr < 100 AND cn.country_code = '[us]' AND mc.company_id = cn.id AND ci.movie_id = t.id AND mc.movie_id = mk.movie_id AND t.id = mc.movie_id AND t.id = mk.movie_id | job |
WITH _q AS ( select a.ca_state as state, count(*) as cnt from customer_address as a join customer as c on a.ca_address_sk = c.c_current_addr_sk join store_sales as s on c.c_customer_sk = s.ss_customer_sk join date_dim as d on s.ss_sold_date_sk = d.d_date_sk join item as i on s.ss_item_sk = i.i_item_sk where d.d_month_seq = ( select distinct d_month_seq from date_dim where d_year = 2001 and d_moy = 6 ) and i.i_current_price > 1.2 * ( select avg(j.i_current_price) from item as j where j.i_category = i.i_category ) group by a.ca_state having count(*) >= 10 order by cnt, state limit 100 ) SELECT * FROM _q; | 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 t.production_year > 1990 AND n.id = ci.person_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND an.person_id = n.id AND k.id = mk.keyword_id AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND mc.note NOT LIKE '%(USA)%' AND cn.country_code = '[jp]' AND mk.movie_id = ci.movie_id AND ci.note LIKE '%(voice: English version)%' AND ct.id = mc.company_type_id AND mc.note LIKE '%(Japan)%' AND ci.role_id = rt.id AND mk.movie_id = mc.movie_id AND cn.id = mc.company_id AND t.id = mk.movie_id AND k.keyword = 'anime' AND n.gender = 'f' AND ci.person_id = an.person_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 (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.movie_id = mi.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND it.info = 'bottom 10 rank' AND t.id = mc.movie_id | job |
SELECT cntrycode, COUNT(*) AS numcust, SUM(c_acctbal) AS totacctbal FROM ( SELECT SUBSTRING(c_phone FROM 1 FOR 2) AS cntrycode, c_acctbal FROM customer WHERE NOT EXISTS ( SELECT * FROM orders WHERE o_custkey = c_custkey ) ) AS custsale AND SUBSTRING(c_phone FROM 1 FOR 2) IN (1, 1, 1, 1, 1, 1, 1) AND c_acctbal > ( SELECT AVG(c_acctbal) FROM customer WHERE c_acctbal > 0.00 AND SUBSTRING(c_phone FROM 1 FOR 2) IN (1, 1, 1, 1, 1, 1, 1) ) GROUP BY cntrycode ORDER BY cntrycode LIMIT 20; | tpch |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword LIKE '%sequel%' AND t.id = mi.movie_id AND t.production_year > 2005 AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German']) AND k.id = mk.keyword_id | job |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE mc.note LIKE '%(Japan)%' AND n1.id = ci.person_id AND ci.note = '(voice: English version)' AND ci.role_id = rt.id AND ci.movie_id = t.id AND mc.note NOT LIKE '%(USA)%' AND an1.person_id = ci.person_id AND t.id = mc.movie_id AND n1.name NOT LIKE '%Yu%' AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND cn.country_code = '[jp]' AND n1.name LIKE '%Yo%' AND mc.company_id = cn.id AND an1.person_id = n1.id | job |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_receiptdate >= DATE 1 AND l_commitdate < l_receiptdate AND l_shipdate < l_commitdate AND o_orderkey = l_orderkey AND l_shipmode IN (1, 1) GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 200; | tpch |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.id = mk.movie_id AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND n.name LIKE '%Hemsworth%Chris%' AND k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 AND t.id = ci.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 it.info = 'release dates' AND chn.id = ci.person_role_id AND n.gender = 'f' AND ci.role_id = rt.id AND t.id = mi.movie_id AND ci.person_id = an.person_id AND cn.country_code = '[us]' AND ci.movie_id = mc.movie_id AND t.id = ci.movie_id AND t.id = mc.movie_id AND mi.movie_id = ci.movie_id AND n.id = ci.person_id AND it.id = mi.info_type_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND rt.role = 'actress' AND mi.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND an.person_id = n.id AND cn.id = mc.company_id AND t.production_year > 2000 | job |
WITH _q AS ( SELECT i_brand_id AS brand_id, i_brand AS brand, i_manufact_id, i_manufact, SUM(ss_ext_sales_price) AS ext_price FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE d_year = 2002 AND i_manager_id = 77 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND d_moy = 11 GROUP BY i_brand, i_brand_id, i_manufact_id, i_manufact ORDER BY ext_price ASC, brand, brand_id, i_manufact_id, i_manufact LIMIT 100 ) SELECT * FROM _q; | tpcds |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_commitdate < l_receiptdate AND o_orderkey = l_orderkey AND l_shipdate < l_commitdate AND l_shipmode IN (1, 1) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_receiptdate >= DATE 1 GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 100; | tpch |
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.info = 'rating' AND it.id = miidx.info_type_id AND cn.id = mc.company_id AND it2.id = mi.info_type_id AND it2.info = 'release dates' AND kt.kind = 'movie' AND mi.movie_id = mc.movie_id AND miidx.movie_id = t.id AND cn.country_code = '[de]' AND mi.movie_id = t.id AND kt.id = t.kind_id AND ct.kind = 'production companies' AND mc.movie_id = t.id AND miidx.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND mi.movie_id = miidx.movie_id | job |
WITH year_total AS ( SELECT c_login AS customer_login, '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_first_name AS customer_first_name, c_customer_id AS customer_id, c_email_address AS customer_email_address, c_last_name AS customer_last_name, c_birth_country AS customer_birth_country, c_preferred_cust_flag AS customer_preferred_cust_flag, d_year AS dyear FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
SELECT 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 s_nationkey = n2.n_nationkey AND r_name = 1 AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_type = 1 ) AS all_nations AND s_suppkey = l_suppkey AND n1.n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND p_partkey = l_partkey AND o_custkey = c_custkey GROUP BY o_year ORDER BY o_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 t.id = mc.movie_id AND n.id = ci.person_id AND mi.movie_id = mc.movie_id AND it.info = 'release dates' AND t.id = ci.movie_id AND n.gender = 'f' AND it.id = mi.info_type_id AND cn.country_code = '[us]' AND ci.note In ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.movie_id = mc.movie_id AND ci.role_id = rt.id AND mi.movie_id = ci.movie_id AND t.production_year > 2000 AND cn.id = mc.company_id AND ci.person_id = an.person_id AND an.person_id = n.id AND rt.role = 'actress' AND chn.id = ci.person_role_id AND mc.note Like '%(USA)%' AND t.id = mi.movie_id | job |
SELECT SUM(cs_quantity) AS catalog_sales_quantity, i_item_id, SUM(ss_quantity) AS store_sales_quantity, s_store_name, SUM(sr_return_quantity) AS store_returns_quantity, s_store_id, i_item_desc FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d3.d_year = 2000 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d3.d_moy BETWEEN 5 AND 5 + 3 AND d1.d_year = 2000 AND d2.d_year = 2000 AND d1.d_moy = 5 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name; | tpcds |
SELECT MIN(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 ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND n.id = ci.person_id AND n.name LIKE '%Hemsworth%Chris%' AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id | job |
SELECT i_item_id, AVG(ss_quantity) AS agg1, AVG(ss_list_price) AS agg2, AVG(ss_coupon_amt) AS agg3, AVG(ss_sales_price) AS agg4 FROM store_sales 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 = 'Advanced Degree' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND d_year = 2000 AND cd_gender = 'F' AND cd_marital_status = 'W' GROUP BY i_item_id ORDER BY i_item_id LIMIT 10; | tpcds |
Select promotions, total, CAST(promotions As DECIMAL(15, 4)) / CAST(total As DECIMAL(15, 4)) * 100 From ( Select Sum(ss_ext_sales_price) As promotions From store_sales Join store On ss_store_sk = s_store_sk Join promotion On ss_promo_sk = p_promo_sk Join date_dim On ss_sold_date_sk = d_date_sk Join customer On ss_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join item On ss_item_sk = i_item_sk Where d_year = 1998 AND i_category = 'Electronics' AND d_moy = 9 ) As promotional_sales, ( Select Sum(ss_ext_sales_price) As total From store_sales Join store On ss_store_sk = s_store_sk Join date_dim On ss_sold_date_sk = d_date_sk Join customer On ss_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join item On ss_item_sk = i_item_sk Where ca_gmt_offset = -7 AND ca_gmt_offset = -7 AND s_gmt_offset = -7 AND d_moy = 9 ) As all_sales AND s_gmt_offset = -7 AND d_year = 1998 AND i_category = 'Electronics' AND (p_channel_dmail = 'Y' Or p_channel_email = 'Y' Or p_channel_tv = 'Y') Order By promotions, total Limit 100; | tpcds |
WITH year_total AS ( SELECT d_year AS dyear, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_customer_id AS customer_id, 's' AS sale_type, c_preferred_cust_flag AS customer_preferred_cust_flag, c_birth_country AS customer_birth_country, c_last_name AS customer_last_name, c_email_address AS customer_email_address, c_login AS customer_login, c_first_name AS customer_first_name 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 MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE mc.company_id = cn.id AND t.id = mc.movie_id AND ci.movie_id = t.id AND an1.person_id = ci.person_id AND cn.country_code = '[jp]' AND n1.name NOT LIKE '%Yu%' AND ci.movie_id = mc.movie_id AND n1.name LIKE '%Yo%' AND mc.note LIKE '%(Japan)%' AND ci.note = '(voice: English version)' AND n1.id = ci.person_id AND rt.role = 'actress' AND mc.note NOT LIKE '%(USA)%' AND an1.person_id = n1.id AND ci.role_id = rt.id | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.id = mk.keyword_id AND t.id = mi.movie_id AND k.keyword LIKE '%sequel%' AND t.production_year > 2010 AND mk.movie_id = mi.movie_id | job |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE s_nationkey = n_nationkey AND s_suppkey = ps_suppkey 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 n_regionkey = r_regionkey AND p_partkey = ps_partkey AND p_size = 1 AND p_type LIKE 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE p_name LIKE 1 ) AS profit AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey AND s_suppkey = l_suppkey AND ps_partkey = l_partkey AND ps_suppkey = l_suppkey AND p_partkey = l_partkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
WITH _q AS ( 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 ('Bronz County', 'Daviess County', 'Maricopa County') AND d_year IN (2000, 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) > 1.79 AND hd_vehicle_count > 0 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 ) SELECT * FROM _q; | tpcds |
Select Count(*) From comments As c, postHistory As ph, users As u Where c.UserId = ph.UserId AND u.Reputation >= 1 AND u.Id = c.UserId AND u.UpVotes <= 27 | stats |
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 mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND mc.movie_id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi.info_type_id AND it.info = 'bottom 10 rank' AND t.id = mi.movie_id | job |
select min(mi_idx.info) as rating, min(t.title) as northamerican_movie from aka_title as at, company_name as cn, info_type as it1, info_type as it2, kind_type as kt, movie_companies as mc, movie_info as mi, movie_info_idx as mi_idx, title as t where mi.info like 'USA:%200%' and cn.id = mc.company_id and at.movie_id = mi_idx.movie_id and at.movie_id = mi.movie_id and it2.info = 'release dates' and mi_idx.movie_id = mc.movie_id and mi.movie_id = mi_idx.movie_id and it2.id = mi.info_type_id and kt.kind = 'movie' and t.id = at.movie_id and mi_idx.info < '3.5' and kt.id = t.kind_id and t.id = mc.movie_id and t.id = mi_idx.movie_id and t.id = mi.movie_id and at.movie_id = mc.movie_id and at.title like '%Champion%' and it1.id = mi_idx.info_type_id and mi.movie_id = mc.movie_id and t.production_year > 2000 and it1.info = 'rating' and cn.country_code = '[us]' | 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 ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_size = 1 AND r_name = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND p_partkey = ps_partkey AND s_suppkey = ps_suppkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE it1.id = mi_idx.info_type_id AND t.id = mi.movie_id AND kt.id = t.kind_id AND it1.info = 'rating' AND mi.info LIKE 'USA:%200%' AND cn.country_code = '[us]' AND t.production_year > 2000 AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND at.title LIKE '%Champion%' AND it2.id = mi.info_type_id AND kt.kind = 'movie' AND mi.movie_id = mi_idx.movie_id AND t.id = at.movie_id AND mi_idx.movie_id = mc.movie_id AND it2.info = 'release dates' AND at.movie_id = mi_idx.movie_id AND at.movie_id = mc.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND at.movie_id = mi.movie_id AND mi_idx.info < '3.5' | 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 it1.id = mi.info_type_id AND mc.note NOT LIKE '%(USA)%' AND kt.kind IN ('movie', 'episode') AND t.id = mk.movie_id AND cn.id = mc.company_id AND mi.movie_id = mi_idx.movie_id AND it2.id = mi_idx.info_type_id AND mk.movie_id = mi_idx.movie_id AND mi_idx.info < '7.0' AND t.id = mc.movie_id AND it1.info = 'countries' AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND it2.info = 'rating' AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND cn.country_code != '[us]' AND mc.note LIKE '%(200%)%' AND t.production_year > 2008 AND kt.id = t.kind_id AND mk.movie_id = mi.movie_id AND mi.movie_id = mc.movie_id AND t.id = mi.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND t.id = mi_idx.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 chn.id = ci.person_role_id And it.info = 'release dates' And mi.movie_id = mc.movie_id And t.production_year > 2000 And it.id = mi.info_type_id And n.id = ci.person_id And t.id = mi.movie_id And ci.person_id = an.person_id And mc.note Like '%(USA)%' And rt.role = 'actress' And ci.movie_id = mc.movie_id And n.gender = 'f' And an.person_id = n.id And t.id = mc.movie_id And cn.country_code = '[us]' And mi.movie_id = ci.movie_id And cn.id = mc.company_id And t.id = ci.movie_id And ci.note In ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') And ci.role_id = rt.id | job |
Select Count(*) From comments As c, postHistory As ph, votes As v, users As u Where u.Id = v.UserId And u.UpVotes <= 123 And u.DownVotes >= 0 And ph.UserId = c.UserId And u.Views >= 0 And v.UserId = ph.UserId | stats |
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