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SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND t.id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 AND n.name LIKE '%Downey%Robert%' AND t.id = ci.movie_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = v.PostId AND c.Score = 0 AND pl.LinkTypeId = 1 AND p.Id = c.PostId AND p.FavoriteCount >= 0 AND p.Id = ph.PostId AND p.Id = pl.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.id = mc.company_id AND k.keyword ='character-name-in-title' AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND cn.country_code ='[sm]' LIMIT 500; | 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 ca_gmt_offset = -6 AND d_year = 2002 AND d_year = 2002 AND s_gmt_offset = -6 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_moy = 12 ) AS all_sales 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 AND i_category = 'Jewelry' AND s_gmt_offset = -6 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 t.production_year > 2010 AND n.name LIKE '%Hemsworth%Chris%' AND k.id = mk.keyword_id AND t.id = ci.movie_id AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' | 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 = v.PostId AND c.UserId = u.Id AND p.Id = c.PostId AND b.UserId = u.Id AND p.Score <= 40 AND p.Id = pl.RelatedPostId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 | 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 ci.movie_id = mk.movie_id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND n.id = ci.person_id AND t.episode_nr >= 50 AND t.episode_nr < 100 AND mc.company_id = cn.id AND ci.movie_id = t.id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND an.person_id = n.id AND k.keyword = 'character-name-in-title' | 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 it1.info = 'rating' AND cn.country_code = '[us]' AND t.id = at.movie_id AND t.production_year > 2000 AND at.title LIKE '%Champion%' AND t.id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND it1.id = mi_idx.info_type_id AND cn.id = mc.company_id AND at.movie_id = mi.movie_id AND kt.kind = 'movie' AND it2.info = 'release dates' AND it2.id = mi.info_type_id AND at.movie_id = mc.movie_id AND t.id = mc.movie_id AND mi.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND kt.id = t.kind_id AND mi_idx.info < '3.5' AND mi_idx.movie_id = mc.movie_id | job |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.id = mc.company_type_id AND it.id = mi.info_type_id AND t.id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND t.id = mc.movie_id AND it.info = 'bottom 10 rank' AND mc.movie_id = mi.movie_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' LIMIT 20; | job |
SELECT cc_name AS call_center_name, SUM(cr_net_loss) AS returns_loss, cc_manager AS manager, cc_call_center_id AS call_center FROM call_center JOIN catalog_returns ON cr_call_center_sk = cc_call_center_sk JOIN date_dim ON cr_returned_date_sk = d_date_sk JOIN customer ON cr_returning_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN customer_demographics ON cr_returning_cdemo_sk = cd_demo_sk JOIN household_demographics ON cr_returning_hdemo_sk = hd_demo_sk WHERE d_year = 1999 AND ca_gmt_offset = -6 AND ( (cd_marital_status = 'S' AND cd_education_status = '4 yr Degree') OR (hd_buy_potential LIKE '1001-5000%' AND ca_gmt_offset = -6) ) AND d_moy = 12 GROUP BY cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status ORDER BY returns_loss DESC LIMIT 100; | tpcds |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, posts AS p, users AS u WHERE c.UserId = u.Id AND u.Id = p.OwnerUserId AND p.FavoriteCount >= 0 ) SELECT * FROM _q AND c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND p.ViewCount >= 0 AND p.CommentCount >= 0 | stats |
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 mi_idx.info > '8.0' AND it.id = mi_idx.info_type_id AND it.info ='rating' AND t.production_year >= 2000 AND t.production_year <= 2005 AND t.id = mi_idx.movie_id | job |
SELECT COUNT(1) FROM comments AS c, posts AS p, postHistory AS ph, votes AS v, users AS u WHERE c.UserId = p.OwnerUserId AND ph.UserId = v.UserId AND p.AnswerCount >= 0 AND p.OwnerUserId = ph.UserId AND u.Id = c.UserId AND p.Score <= 13 | stats |
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(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 (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND d_year IN (2001, 2000, 2002) AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.85 AND s_county IN ('Williamson County', 'Barrow County', 'Placer County') AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) 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; | 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.production_year > 2010 AND k.id = mk.keyword_id AND t.id = ci.movie_id AND n.id = ci.person_id AND n.name LIKE '%Downey%Robert%' AND k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.movie_id AND t.id = mk.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 mk.movie_id = ci.movie_id AND mc.note LIKE '%(Japan)%' AND ci.person_id = an.person_id AND cn.country_code = '[jp]' AND rt.role = 'actress' AND t.id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND k.keyword = 'anime' AND cn.id = mc.company_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND ci.movie_id = mc.movie_id AND an.person_id = n.id AND t.production_year > 1990 AND ct.id = mc.company_type_id AND ci.note LIKE '%(voice: English version)%' AND ci.role_id = rt.id AND n.gender = 'f' AND mc.note NOT LIKE '%(USA)%' AND t.id = ci.movie_id LIMIT 1000; | job |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE kt.id = t.kind_id AND kt.kind = 'movie' AND it2.id = mi.info_type_id AND mi.movie_id = miidx.movie_id AND ct.kind = 'production companies' AND mi.movie_id = t.id AND miidx.movie_id = mc.movie_id AND it.info = 'rating' AND it2.info = 'release dates' AND cn.id = mc.company_id AND miidx.movie_id = t.id AND ct.id = mc.company_type_id AND cn.country_code = '[de]' AND it.id = miidx.info_type_id AND mc.movie_id = t.id AND mi.movie_id = mc.movie_id | job |
select min(t.title) as movie_title from company_name as cn, keyword as k, movie_companies as mc, movie_keyword as mk, title as t where mk.keyword_id = k.id AND k.keyword ='character-name-in-title' AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND cn.country_code ='[nl]' AND mc.movie_id = t.id AND cn.id = mc.company_id | job |
select i_current_price, i_item_id, i_item_desc from item join inventory on i_item_sk = inv_item_sk join date_dim on d_date_sk = inv_date_sk join store_sales on ss_item_sk = i_item_sk where i_current_price BETWEEN 93 AND 93 + 30 AND d_date BETWEEN CAST('2002-01-23' as DATE) AND (CAST('2002-01-23' as DATE) + INTERVAL '60 days') AND inv_quantity_on_hand BETWEEN 100 AND 500 AND i_manufact_id in (301, 227, 392, 436) group by i_item_id, i_item_desc, i_current_price order by i_item_id 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 cn.id = mc.company_id AND ct.id = mc.company_type_id AND it.info = 'release dates' AND cn.country_code = '[us]' AND mc.note LIKE '%(USA)%' AND t.production_year > 1950 AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND t.id = mc.movie_id AND k.id = mk.keyword_id AND ml.movie_id = mi.movie_id AND lt.link LIKE '%follow%' AND t.id = ml.movie_id AND mi.movie_id = t.id AND ml.movie_id = mc.movie_id AND mi.info LIKE 'USA:% 199%' AND mi.note LIKE '%internet%' AND mk.movie_id = mc.movie_id AND it.id = mi.info_type_id AND ml.movie_id = mk.movie_id AND lt.id = ml.link_type_id AND t.id = mk.movie_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 o_orderkey = l_orderkey AND l_commitdate < l_receiptdate AND l_shipdate < l_commitdate AND l_receiptdate >= DATE 1 AND l_shipmode IN (1, 1) GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT MAX(ss_net_profit) AS store_sales_profit, i_item_desc, MAX(sr_net_loss) AS store_returns_loss, i_item_id, s_store_id, s_store_name, MAX(cs_net_profit) AS catalog_sales_profit FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 5 AND 4 AND d1.d_year = 2000 AND d2.d_moy BETWEEN 5 AND 4 + 3 AND d2.d_year = 2000 AND d3.d_moy BETWEEN 5 AND 4 + 3 AND d3.d_year = 2000 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
Select o_shippriority, Sum(l_extendedprice * (1 - l_discount)) As revenue, l_orderkey, o_orderdate 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 Desc, o_orderdate Limit 10 | 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.id = mi_idx.info_type_id AND t.production_year <= 2010 AND mi_idx.info > '7.0' AND t.id = mi_idx.movie_id AND it.info ='rating' AND t.production_year >= 2000 | job |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, votes AS v WHERE pl.PostId = v.PostId AND p.Id = c.PostId AND c.CreationDate >= '2010-08-02 23:52:10'::timestamp AND p.Score >= -3 AND v.VoteTypeId = 2 ) SELECT * FROM _q AND c.PostId = pl.PostId | stats |
SELECT cust_nation, l_year, supp_nation, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE s_nationkey = n1.n_nationkey 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 c_custkey = o_custkey AND o_orderkey = l_orderkey AND s_suppkey = l_suppkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | 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 ct.id = mc.company_type_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 t.id = mc.movie_id AND it.info = 'top 250 rank' AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_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 p_size = 1 AND s_suppkey = ps_suppkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_type LIKE 1 AND p_partkey = ps_partkey AND s_nationkey = n_nationkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (d_dom >= 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 INNER JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt ASC LIMIT 100; | tpcds |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE mi.movie_id = mc.movie_id AND it2.info = 'release dates' AND cn.country_code = '[de]' AND miidx.movie_id = t.id AND cn.id = mc.company_id AND mi.movie_id = miidx.movie_id AND it.id = miidx.info_type_id AND kt.id = t.kind_id AND ct.id = mc.company_type_id AND kt.kind = 'movie' AND it.info = 'rating' AND mc.movie_id = t.id AND it2.id = mi.info_type_id AND mi.movie_id = t.id AND ct.kind = 'production companies' AND miidx.movie_id = mc.movie_id | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, movie_info_idx AS mi_idx, title AS t WHERE t.production_year BETWEEN 2000 AND 2005 AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND it.info ='rating' AND mi_idx.info > '8.0' LIMIT 50; | job |
Select Count(*) From comments As c, votes As v, badges As b, users As u Where u.Id = b.UserId AND c.Score = 1 AND u.Id = v.UserId AND u.Id = c.UserId AND u.CreationDate >= '2010-07-20 01:27:29'::timestamp | 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 t.id = mk.movie_id AND cn.country_code ='[de]' AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND k.keyword ='character-name-in-title' AND mk.keyword_id = k.id AND mc.movie_id = t.id LIMIT 100; | job |
SELECT SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, l_shipmode FROM orders, lineitem WHERE l_shipmode IN (1, 1) AND l_commitdate < l_receiptdate AND o_orderkey = l_orderkey AND l_shipdate < l_commitdate AND l_receiptdate >= DATE 1 AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT p_size, p_type, p_brand, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_partkey = ps_partkey AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_type NOT LIKE 1 AND p_brand <> 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, i_item_id, AVG(ss_quantity) AS store_sales_quantityave, i_item_desc, s_state, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(cs_quantity) AS catalog_sales_quantityave, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_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 = '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 MIN(t.title) AS western_violent_movie, MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE k.id = mk.keyword_id AND kt.kind IN ('movie', 'episode') AND t.id = mi.movie_id AND it1.id = mi.info_type_id AND mk.movie_id = mi.movie_id AND mc.note LIKE '%(200%)%' AND kt.id = t.kind_id AND t.id = mk.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND t.id = mi_idx.movie_id AND it2.info = 'rating' AND cn.country_code != '[us]' AND t.production_year > 2008 AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND it2.id = mi_idx.info_type_id AND mi_idx.info < '7.0' AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND it1.info = 'countries' AND mk.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND ct.id = mc.company_type_id AND cn.id = mc.company_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 o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND l_orderkey = o_orderkey AND s_nationkey = n2.n_nationkey AND s_suppkey = l_suppkey AND n1.n_regionkey = r_regionkey AND c_nationkey = n1.n_nationkey AND p_partkey = l_partkey AND o_custkey = c_custkey AND r_name = 1 GROUP BY o_year ORDER BY o_year | 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 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 t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_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 t.production_year > 2005 AND k.id = mk.keyword_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND k.keyword LIKE '%sequel%' LIMIT 1000; | 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 NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'bottom 10 rank' AND ct.id = mc.company_type_id AND t.id = mi.movie_id AND it.id = mi.info_type_id AND ct.kind = 'production companies' AND t.id = mc.movie_id | job |
SELECT MIN(t.title) AS japanese_movie_dubbed, MIN(an1.name) AS actress_pseudonym FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE cn.country_code = '[jp]' AND ci.movie_id = t.id AND an1.person_id = ci.person_id AND mc.note LIKE '%(Japan)%' AND n1.name LIKE '%Yo%' AND rt.role = 'actress' AND ci.note = '(voice: English version)' AND n1.name NOT LIKE '%Yu%' AND ci.movie_id = mc.movie_id AND ci.role_id = rt.id AND mc.company_id = cn.id AND an1.person_id = n1.id AND mc.note NOT LIKE '%(USA)%' AND n1.id = ci.person_id AND t.id = mc.movie_id | job |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b, users AS u WHERE b.UserId = u.Id AND p.Id = c.PostId AND pl.LinkTypeId = 1 AND p.Id = v.PostId AND p.Id = pl.RelatedPostId AND c.UserId = u.Id AND p.Score <= 40 AND p.Id = ph.PostId | stats |
SELECT c_custkey, o_orderdate, SUM(l_quantity), o_orderkey, o_totalprice, c_name FROM customer, orders, lineitem WHERE o_orderkey IN ( SELECT l_orderkey FROM lineitem GROUP BY l_orderkey HAVING SUM(l_quantity) > 1 ) AND c_custkey = o_custkey AND o_orderkey = l_orderkey GROUP BY c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice ORDER BY o_totalprice ASC, o_orderdate 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 mc.movie_id = mi.movie_id AND it.info = 'bottom 10 rank' AND it.id = mi.info_type_id AND ct.id = mc.company_type_id AND t.id = mi.movie_id AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT MAX(mc.note) AS production_note, MAX(t.title) AS movie_title, MAX(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' LIMIT 100; | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey != l1.l_suppkey ) AND s_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 l1.l_receiptdate > l1.l_commitdate AND n_name = 1 AND o_orderkey = l1.l_orderkey AND o_orderstatus = 'F' AND s_nationkey = n_nationkey GROUP BY s_name ORDER BY numwait ASC, s_name LIMIT 100 | tpch |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE n_regionkey = r_regionkey AND r_name = 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 ) AND p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND p_size = 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT ca_city, ss_ticket_number, extended_price, bought_city, list_price, c_first_name, extended_tax, c_last_name FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 5 OR hd_vehicle_count = 0) AND d_dow IN (6, 0) AND d_year IN (2000, 2002, 2001) AND s_city IN ('Clinton', 'Oak Grove') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE t.id = mc.movie_id AND t.id = mi.movie_id AND it.id = mi.info_type_id AND it.info = 'bottom 10 rank' AND mc.movie_id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND ct.kind = 'production companies' | job |
SELECT AVG(cs_quantity) AS agg1, i_item_id, AVG(cs_coupon_amt) AS agg3, AVG(cs_sales_price) AS agg4, AVG(cs_list_price) AS agg2 FROM catalog_sales INNER JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk INNER JOIN date_dim ON cs_sold_date_sk = d_date_sk INNER JOIN item ON cs_item_sk = i_item_sk INNER JOIN promotion ON cs_promo_sk = p_promo_sk WHERE cd_gender = 'F' AND cd_marital_status = 'S' AND cd_education_status = 'Advanced Degree' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND d_year = 1999 GROUP BY i_item_id ORDER BY i_item_id 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 it.id = mi.info_type_id AND it.info = 'release dates' AND ci.movie_id = mc.movie_id AND n.gender = 'f' AND n.id = ci.person_id AND cn.country_code = '[us]' AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND mi.movie_id = ci.movie_id AND t.id = ci.movie_id AND mi.movie_id = mc.movie_id AND ci.role_id = rt.id AND cn.id = mc.company_id AND t.id = mc.movie_id AND t.production_year > 2000 AND t.id = mi.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND mc.note LIKE '%(USA)%' AND rt.role = 'actress' | 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 mi_idx.info < '7.0' AND mc.note Not Like '%(USA)%' AND cn.country_code != '[us]' AND it1.id = mi.info_type_id AND t.id = mc.movie_id AND k.keyword In ('murder', 'murder-In-title', 'blood', 'violence') AND mi.movie_id = mc.movie_id AND mk.movie_id = mi_idx.movie_id AND kt.kind In ('movie', 'episode') AND it2.info = 'rating' AND mi.info In ('Germany', 'German', 'USA', 'American') AND cn.id = mc.company_id AND mc.movie_id = mi_idx.movie_id AND t.id = mk.movie_id AND k.id = mk.keyword_id AND it2.id = mi_idx.info_type_id AND t.production_year > 2008 AND mk.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND mc.note Like '%(200%)%' AND kt.id = t.kind_id AND mi.movie_id = mi_idx.movie_id AND it1.info = 'countries' | job |
SELECT c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_comment FROM customer, orders, lineitem, nation WHERE l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND an.name LIKE '%a%' AND pi.person_id = ci.person_id AND it.info = 'mini biography' AND it.id = pi.info_type_id AND n.id = an.person_id AND pi.person_id = an.person_id AND ci.movie_id = ml.linked_movie_id AND t.production_year BETWEEN 1980 AND 1995 AND lt.link = 'features' AND n.id = pi.person_id AND ml.linked_movie_id = t.id AND pi.note = 'Volker Boehm' AND lt.id = ml.link_type_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND t.id = ci.movie_id AND an.person_id = ci.person_id AND ci.person_id = n.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 n.id = ci.person_id AND cn.country_code = '[us]' AND mi.movie_id = ci.movie_id AND t.id = mi.movie_id AND ci.movie_id = mc.movie_id AND an.person_id = n.id AND t.id = ci.movie_id AND it.id = mi.info_type_id AND rt.role = 'actress' 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 cn.id = mc.company_id AND it.info = 'release dates' AND mc.note LIKE '%(USA)%' AND t.production_year > 2000 AND mi.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND ci.role_id = rt.id AND n.gender = 'f' | 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 kt.kind In ('movie', 'episode') And mk.movie_id = mc.movie_id And it1.id = mi.info_type_id And mc.movie_id = mi_idx.movie_id And mi.movie_id = mi_idx.movie_id And mc.note Like '%(200%)%' And t.production_year > 2008 And t.id = mi_idx.movie_id And mi.movie_id = mc.movie_id And mi.info In ('Germany', 'German', 'USA', 'American') And k.id = mk.keyword_id And t.id = mk.movie_id And mc.note Not Like '%(USA)%' And it2.info = 'rating' And cn.country_code != '[us]' And it1.info = 'countries' And t.id = mi.movie_id And it2.id = mi_idx.info_type_id And mi_idx.info < '7.0' And k.keyword In ('murder', 'murder-In-title', 'blood', 'violence') And t.id = mc.movie_id And mk.movie_id = mi.movie_id And ct.id = mc.company_type_id And mk.movie_id = mi_idx.movie_id | job |
Select Avg(cs_sales_price) As agg4, i_item_id, Avg(cs_quantity) As agg1, Avg(cs_list_price) As agg2, Avg(cs_coupon_amt) As agg3 From catalog_sales Join customer_demographics On cs_bill_cdemo_sk = cd_demo_sk Join date_dim On cs_sold_date_sk = d_date_sk Join item On cs_item_sk = i_item_sk Join promotion On cs_promo_sk = p_promo_sk Where (p_channel_email = 'N' Or p_channel_event = 'N') AND cd_education_status = 'Advanced Degree' AND cd_gender = 'M' AND cd_marital_status = 'W' AND d_year = 2000 Group By i_item_id Order By i_item_id Limit 100; | tpcds |
Select s_store_id, Sum(cs_quantity) As catalog_sales_quantity, Sum(ss_quantity) As store_sales_quantity, Sum(sr_return_quantity) As store_returns_quantity, i_item_id, s_store_name, 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 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 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 o_orderkey = l_orderkey AND l_commitdate < l_receiptdate AND l_shipdate < l_commitdate AND l_shipmode = ANY(ARRAY[1, 1]) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_receiptdate >= DATE 1 GROUP BY l_shipmode ORDER BY l_shipmode | 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 ct.kind = 'production companies' AND mi.movie_id = mc.movie_id AND it.id = miidx.info_type_id AND it2.info = 'release dates' AND miidx.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND mi.movie_id = miidx.movie_id AND kt.kind = 'movie' AND kt.id = t.kind_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cn.country_code = '[de]' AND mi.movie_id = t.id AND it.info = 'rating' AND mc.movie_id = t.id AND miidx.movie_id = t.id | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.id = ci.movie_id AND n.id = ci.person_id AND t.id = mk.movie_id AND n.name LIKE '%Downey%Robert%' AND k.id = mk.keyword_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.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 ci.note like '%(voice: English version)%' AND n.gender = 'f' AND ci.movie_id = mc.movie_id AND ci.role_id = rt.id AND an.person_id = n.id AND n.id = ci.person_id AND cn.id = mc.company_id AND ci.person_id = an.person_id AND k.id = mk.keyword_id AND t.id = ci.movie_id AND cn.country_code = '[jp]' AND ct.id = mc.company_type_id AND k.keyword = 'anime' AND t.production_year > 1990 AND mk.movie_id = ci.movie_id AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND t.id = mc.movie_id AND rt.role = 'actress' AND mc.note not like '%(USA)%' AND mc.note like '%(Japan)%' | 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 ca_gmt_offset = -6 AND d_year = 2002 AND d_year = 2002 AND s_gmt_offset = -6 AND d_moy = 5 ) AS all_sales AND i_category = 'Home' AND s_gmt_offset = -6 AND d_moy = 5 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -6 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND i_category = 'Home' ORDER BY promotions, total LIMIT 100; | tpcds |
Select Sum(l_extendedprice * (1 - l_discount)) As revenue From lineitem, part Where ( p_partkey = l_partkey And p_brand = 1 And p_container = ANY(ARRAY['SM Case', 'SM BOX', 'SM PACK', 'SM PKG']) And l_quantity >= 1 And l_quantity <= 1 + 10 And p_size Between 1 And 5 And l_shipmode = ANY(ARRAY['AIR', 'AIR REG']) And l_shipinstruct = 'DELIVER In PERSON' ) Or ( p_partkey = l_partkey And p_brand = 1 And p_container In ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK') And l_quantity >= 1 And l_quantity <= 1 + 10 And p_size Between 1 And 10 And l_shipmode In ('AIR', 'AIR REG') And l_shipinstruct = 'DELIVER In PERSON' ) Or ( p_partkey = l_partkey And p_brand = 1 And p_container In ('LG Case', 'LG BOX', 'LG PACK', 'LG PKG') And l_quantity >= 1 And l_quantity <= 1 + 10 And p_size Between 1 And 15 And l_shipmode In ('AIR', 'AIR REG') And l_shipinstruct = 'DELIVER In PERSON' ) | tpch |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE r_name = 1 AND s_suppkey = l_suppkey AND l_orderkey = o_orderkey AND c_nationkey = n1.n_nationkey AND s_nationkey = n2.n_nationkey AND p_type = 1 ) AS all_nations AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_partkey = l_partkey AND o_custkey = c_custkey AND n1.n_regionkey = r_regionkey GROUP BY o_year ORDER BY o_year | tpch |
Select s_acctbal, s_comment, n_name, s_phone, s_address, p_partkey, s_name, p_mfgr From part, supplier, partsupp, nation, region Where p_partkey = ps_partkey And s_nationkey = n_nationkey And p_type Like 1 And r_name = 1 And n_regionkey = r_regionkey And p_size = 1 And ps_supplycost = ( Select Min(ps_supplycost) From partsupp, supplier, nation, region Where p_partkey = ps_partkey And s_suppkey = ps_suppkey And s_nationkey = n_nationkey And n_regionkey = r_regionkey And r_name = 1 ) And s_suppkey = ps_suppkey Order By s_acctbal Desc, n_name, s_name, p_partkey Limit 100 | tpch |
SELECT l_returnflag, l_linestatus, AVG(l_discount) AS avg_disc, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_extendedprice) AS avg_price, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice) AS sum_base_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, COUNT(*) AS count_order, AVG(l_quantity) AS avg_qty FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT 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_nationkey = n1.n_nationkey AND c_nationkey = n2.n_nationkey AND o_orderkey = l_orderkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND c_custkey = o_custkey AND s_suppkey = l_suppkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE rt.role = 'actress' AND n.id = ci.person_id AND an.person_id = n.id AND t.production_year > 1990 AND ct.id = mc.company_type_id AND t.id = mk.movie_id AND ci.movie_id = mc.movie_id AND t.id = ci.movie_id AND k.keyword = 'anime' AND mc.note LIKE '%(Japan)%' AND ci.person_id = an.person_id AND mk.movie_id = mc.movie_id AND cn.id = mc.company_id AND cn.country_code = '[jp]' AND mc.note NOT LIKE '%(USA)%' AND t.id = mc.movie_id AND k.id = mk.keyword_id AND n.gender = 'f' AND mk.movie_id = ci.movie_id AND ci.note LIKE '%(voice: English version)%' AND ci.role_id = rt.id | job |
select s_name, count(*) as numwait from supplier, lineitem l1, orders, nation where n_name = 1 AND s_nationkey = n_nationkey AND s_suppkey = l1.l_suppkey AND o_orderkey = l1.l_orderkey AND l1.l_receiptdate > l1.l_commitdate AND not exists ( select * from lineitem l3 where l3.l_orderkey = l1.l_orderkey and l3.l_suppkey <> l1.l_suppkey and l3.l_receiptdate > l3.l_commitdate ) AND exists ( select * from lineitem l2 where l2.l_orderkey = l1.l_orderkey and l2.l_suppkey <> l1.l_suppkey ) AND o_orderstatus = 'F' group by s_name order by numwait desc, s_name limit 100 | tpch |
SELECT AVG(ss_quantity) AS agg1, AVG(ss_sales_price) AS agg4, i_item_id, AVG(ss_list_price) AS agg2, AVG(ss_coupon_amt) AS agg3 FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE (p_channel_email = 'N' OR p_channel_event = 'N') AND d_year = 2001 AND cd_gender = 'M' AND cd_education_status = 'Primary' AND cd_marital_status = 'D' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT MIN(t.title) AS marvel_movie, MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.id = ci.movie_id AND t.production_year > 2010 AND n.id = ci.person_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id | job |
Select Sum(l_extendedprice * (1 - l_discount)) As revenue From lineitem, part Where ( p_partkey = l_partkey And p_brand = 1 And p_container In ('SM Case', 'SM BOX', 'SM PACK', 'SM PKG') And l_quantity >= 1 And l_quantity <= 1 + 10 And p_size Between 1 And 5 And l_shipmode In ('AIR', 'AIR REG') And l_shipinstruct = 'DELIVER In PERSON' ) Or ( p_partkey = l_partkey And p_brand = 1 And p_container In ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK') And l_quantity >= 1 And l_quantity <= 1 + 10 And p_size Between 1 And 10 And l_shipmode In ('AIR', 'AIR REG') And l_shipinstruct = 'DELIVER In PERSON' ) Or ( p_partkey = l_partkey And p_brand = 1 And p_container In ('LG Case', 'LG BOX', 'LG PACK', 'LG PKG') And l_quantity >= 1 And l_quantity <= 1 + 10 And p_size Between 1 And 15 And l_shipmode In ('AIR', 'AIR REG') And l_shipinstruct = 'DELIVER In PERSON' ) Limit 10; | tpch |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND cn.country_code ='[nl]' AND cn.id = mc.company_id AND mc.movie_id = t.id AND k.keyword ='character-name-in-title' | job |
select count(*) from badges as b, users as u, posts as p where u.Reputation >= 1 AND p.PostTypeId = 1 AND u.Id = b.UserId AND u.Id = p.OwnerUserId LIMIT 20; | stats |
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 ci.movie_id = mk.movie_id AND t.id = ci.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND n.name LIKE '%Hemsworth%Chris%' AND n.id = ci.person_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.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 o_custkey = c_custkey AND s_suppkey = l_suppkey AND c_nationkey = n1.n_nationkey AND r_name = 1 AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_partkey = l_partkey AND s_nationkey = n2.n_nationkey AND p_type = 1 ) AS all_nations AND l_orderkey = o_orderkey AND n1.n_regionkey = r_regionkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 78 AND 126) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 69 AND 117) OR (cd_marital_status = 'D' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 147 AND 164) ) AND ca_state = ANY(ARRAY['OH', 'GA', 'NY']) AND s_market_id = 10 AND ca_country = 'United States' AND d_year = 2002 AND ( (hd_dep_count = 3 AND hd_vehicle_count <= 3) OR (hd_dep_count = 2 AND hd_vehicle_count <= 2) OR (hd_dep_count = 4 AND hd_vehicle_count <= 5) ) LIMIT 500; | tpcds |
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 cn.country_code ='[nl]' AND k.keyword ='character-name-in-title' AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND mk.keyword_id = k.id AND t.id = mk.movie_id | job |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE ci.role_id = rt.id AND t.id = mc.movie_id AND ci.movie_id = t.id AND n1.name NOT LIKE '%Yu%' AND mc.company_id = cn.id AND an1.person_id = n1.id AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND an1.person_id = ci.person_id AND mc.note NOT LIKE '%(USA)%' AND n1.id = ci.person_id AND n1.name LIKE '%Yo%' AND cn.country_code = '[jp]' AND mc.note LIKE '%(Japan)%' AND ci.note = '(voice: English version)' | job |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND t.production_year > 2005 AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German']) AND k.id = mk.keyword_id AND k.keyword LIKE '%sequel%' AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id | job |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE it2.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND mi.movie_id = miidx.movie_id AND it.info = 'rating' AND mi.movie_id = t.id AND cn.country_code = '[de]' AND ct.id = mc.company_type_id AND kt.id = t.kind_id AND miidx.movie_id = t.id AND kt.kind = 'movie' AND ct.kind = 'production companies' AND miidx.movie_id = mc.movie_id AND it.id = miidx.info_type_id AND cn.id = mc.company_id AND mc.movie_id = t.id AND it2.info = 'release dates' | job |
SELECT c_salutation, c_last_name, c_first_name, ss_ticket_number, c_preferred_cust_flag, 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 d_dom >= 1 AND d_dom <= 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND d_year IN (1999, 2000, 2003) AND s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
Select l_orderkey, Sum(l_extendedprice * (1 - l_discount)) As revenue, o_orderdate, o_shippriority From customer, orders, lineitem Where l_shipdate > DATE 1 And c_mktsegment = 1 And l_orderkey = o_orderkey And c_custkey = o_custkey And o_orderdate < DATE 1 Group By l_orderkey, o_orderdate, o_shippriority Order By revenue Desc, o_orderdate Limit 10 | tpch |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND k.keyword Like '%sequel%' AND t.id = mi.movie_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 l_orderkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, o_shippriority FROM customer, orders, lineitem WHERE c_custkey = o_custkey AND o_orderdate < DATE 1 AND l_orderkey = o_orderkey AND l_shipdate > DATE 1 AND c_mktsegment = 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | tpch |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND ci.movie_id = t.id AND n.id = ci.person_id AND mk.keyword_id = k.id AND cn.country_code = '[us]' AND mc.company_id = cn.id AND t.id = mc.movie_id AND k.keyword = 'character-name-in-title' AND t.episode_nr < 100 AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND t.episode_nr >= 50 AND an.person_id = ci.person_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 t.id = mi_idx.movie_id AND it.info = 'top 250 rank' AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
select count(*) from postHistory as ph, posts as p, votes as v, badges as b, users as u, comments as c where p.Score <= 192 AND p.ViewCount >= 0 AND p.Id = c.PostId AND u.Id = b.UserId AND p.Id = v.PostId AND u.Id = p.OwnerUserId AND p.Id = ph.PostId | stats |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = ph.PostId AND p.Id = c.PostId AND pl.LinkTypeId = 1 AND p.FavoriteCount >= 0 AND p.Id = v.PostId AND c.Score = 0 AND p.Id = pl.PostId | stats |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mi_idx.movie_id AND it.info = 'top 250 rank' AND mc.movie_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 t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND ct.id = mc.company_type_id | job |
SELECT c_last_name, c_first_name, ca_city, bought_city, ss_ticket_number, extended_price, extended_tax, list_price FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE d_dow IN (6, 0) AND d_year IN (2001, 2000, 2001) AND s_city IN ('Clinton', 'Glendale') AND (hd_dep_count = 4 OR hd_vehicle_count = 4) GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn 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(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND n.id = ci.person_id AND an.person_id = ci.person_id AND t.id = mc.movie_id AND ci.movie_id = t.id AND ci.movie_id = mk.movie_id AND t.episode_nr >= 50 AND mc.movie_id = mk.movie_id AND an.person_id = n.id AND t.episode_nr < 100 AND t.id = mk.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND k.keyword = 'character-name-in-title' AND mk.keyword_id = k.id | job |
SELECT SUM(l_extendedprice) AS sum_base_price, AVG(l_quantity) AS avg_qty, l_returnflag, SUM(l_quantity) AS sum_qty, COUNT(1) AS count_order, l_linestatus, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_extendedprice) AS avg_price, AVG(l_discount) AS avg_disc, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT MIN(t.title) AS movie_title FROM 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 = mk.movie_id AND k.keyword ='character-name-in-title' AND t.id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.id | job |
With year_total As ( Select c_email_address As customer_email_address, c_preferred_cust_flag As customer_preferred_cust_flag, c_customer_id As customer_id, 's' As sale_type, c_first_name As customer_first_name, c_birth_country As customer_birth_country, c_last_name As customer_last_name, d_year As dyear, c_login As customer_login, Sum(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) As year_total 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 2000 And 2000 + 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 = 2000 And t_s_secyear.dyear = 2000 + 1 And t_s_firstyear.year_total > 0 And Case When t_s_firstyear.year_total > 0 Then t_s_secyear.year_total / t_s_firstyear.year_total Else NULL End > 1.0 Order By t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address Limit 100; | tpcds |
SELECT c_first_name, ss_ticket_number, bought_city, extended_tax, list_price, extended_price, ca_city, c_last_name FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE d_dow IN (6, 0) AND d_year IN (2000, 2002, 2001) AND (hd_dep_count = 5 OR hd_vehicle_count = 0) AND s_city IN ('Clinton', 'Oak Grove') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT s_store_id, MAX(ss_net_profit) AS store_sales_profit, s_store_name, MAX(sr_net_loss) AS store_returns_loss, i_item_id, 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 5 AND 5 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 5 AND 5 + 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 sum(ss_ext_wholesale_cost), avg(ss_quantity), avg(ss_ext_wholesale_cost), avg(ss_ext_sales_price) from store_sales join store on s_store_sk = ss_store_sk join customer_demographics on cd_demo_sk = ss_cdemo_sk join household_demographics on hd_demo_sk = ss_hdemo_sk join customer_address on ca_address_sk = ss_addr_sk join date_dim on d_date_sk = ss_sold_date_sk where s_market_id = 8 AND ca_country = 'United States' AND ( (hd_dep_count = 2 and hd_vehicle_count <= 4) or (hd_dep_count = 4 and hd_vehicle_count <= 5) or (hd_dep_count = 5 and hd_vehicle_count <= 6) ) AND ca_state in ('TX', 'GA', 'FL') AND ( (cd_marital_status = 'S' and cd_education_status = '2 yr Degree' and ss_sales_price BETWEEN 90 AND 128) or (cd_marital_status = 'D' and cd_education_status = 'Primary' and ss_sales_price BETWEEN 81 AND 149) or (cd_marital_status = 'W' and cd_education_status = 'College' and ss_sales_price BETWEEN 138 AND 187) ) AND d_year = 2001 limit 50; | tpcds |
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