text stringlengths 84 1.49k | benchmark stringclasses 4
values |
|---|---|
SELECT AVG(cs_sales_price) AS agg4, AVG(cs_list_price) AS agg2, AVG(cs_quantity) AS agg1, AVG(cs_coupon_amt) AS agg3, i_item_id FROM catalog_sales JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk JOIN item ON cs_item_sk = i_item_sk JOIN promotion ON cs_promo_sk = p_promo_sk WHERE d_year = 1999 AND cd_marital_status = 'S' AND cd_gender = 'F' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = 'Advanced Degree' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
select count(*) from comments as c, postHistory as ph, votes as v, users as u where u.DownVotes >= 0 AND u.Id = v.UserId AND u.UpVotes <= 123 AND u.Views >= 0 AND ph.UserId = c.UserId AND v.UserId = ph.UserId limit 500; | stats |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE t.id = mc.movie_id AND mi.movie_id = t.id AND ml.movie_id = mc.movie_id AND mi.note LIKE '%internet%' AND t.id = mk.movie_id AND it.info = 'release dates' AND k.id = mk.keyword_id AND lt.link LIKE '%follow%' AND cn.country_code = '[us]' AND mi.info LIKE 'USA:% 199%' AND cn.id = mc.company_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mi.movie_id AND lt.id = ml.link_type_id AND mk.movie_id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.note LIKE '%(USA)%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND t.production_year > 1950 AND ct.id = mc.company_type_id AND it.id = mi.info_type_id AND t.id = ml.movie_id | job |
SELECT MIN(t.title) AS german_movie, MIN(mi.info) AS release_date, MIN(miidx.info) AS rating 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 cn.id = mc.company_id AND mi.movie_id = t.id AND it2.info = 'release dates' AND ct.id = mc.company_type_id AND kt.kind = 'movie' AND it2.id = mi.info_type_id AND cn.country_code = '[de]' AND it.info = 'rating' AND miidx.movie_id = mc.movie_id AND mi.movie_id = miidx.movie_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND it.id = miidx.info_type_id AND miidx.movie_id = t.id | 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 o_orderkey = l1.l_orderkey AND o_orderstatus = 'F' AND s_suppkey = l1.l_suppkey AND l1.l_receiptdate > l1.l_commitdate AND s_nationkey = n_nationkey AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND n_name = 1 GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
WITH _q AS ( SELECT s_name, s_address FROM supplier, nation WHERE n_name = 1 AND s_nationkey = n_nationkey AND s_suppkey IN ( SELECT ps_suppkey FROM partsupp WHERE ps_partkey IN ( SELECT p_partkey FROM part WHERE p_name LIKE 1 ) AND ps_availqty > ( SELECT 0.5 * SUM(l_quantity) FROM lineitem WHERE l_partkey = ps_partkey AND l_suppkey = ps_suppkey AND l_shipdate >= DATE 1 AND l_shipdate < DATE 1 + INTERVAL '1' YEAR ) ) ORDER BY s_name ) SELECT * FROM _q LIMIT 50; | 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.id = mc.company_id AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = t.id AND cn.country_code ='[de]' AND k.keyword ='character-name-in-title' AND t.id = mk.movie_id LIMIT 10; | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND l1.l_receiptdate > l1.l_commitdate AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND 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 n_name = 1 AND o_orderkey = l1.l_orderkey AND o_orderstatus = 'F' GROUP BY s_name ORDER BY numwait DESC, s_name; | 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 ct.id = mc.company_type_id and ct.kind = 'production companies' and t.id = mc.movie_id and it.info = 'bottom 10 rank' and mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' and it.id = mi.info_type_id and t.id = mi.movie_id and (mc.note like '%(co-production)%' or mc.note like '%(presents)%') | 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.movie_id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND kt.kind IN ('movie', 'episode') AND it2.info = 'rating' AND cn.id = mc.company_id AND mc.note LIKE '%(200%)%' AND mi.movie_id = mi_idx.movie_id AND t.production_year > 2008 AND cn.country_code != '[us]' AND mi.movie_id = mc.movie_id AND it1.info = 'countries' AND mc.note NOT LIKE '%(USA)%' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mk.movie_id = mi_idx.movie_id AND it2.id = mi_idx.info_type_id AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND k.id = mk.keyword_id AND t.id = mc.movie_id AND it1.id = mi.info_type_id AND ct.id = mc.company_type_id AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND t.id = mi_idx.movie_id AND kt.id = t.kind_id | job |
SELECT SUM(CASE WHEN (CAST(d_date AS DATE) >= CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_after, i_item_id, w_state, SUM(CASE WHEN (CAST(d_date AS DATE) < CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_before FROM catalog_sales LEFT 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 >= 68.67 AND d_date BETWEEN (CAST('2000-03-11' AS DATE) - INTERVAL '30 days') AND (CAST('2000-03-11' AS DATE) + INTERVAL '30 days') AND i_current_price <= 68.67 + 1.49 GROUP BY w_state, i_item_id ORDER BY w_state, i_item_id LIMIT 100; | 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 cn.country_code ='[nl]' AND t.id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.id AND k.keyword ='character-name-in-title' AND mk.keyword_id = k.id AND mc.movie_id = mk.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 cn.id = mc.company_id AND mc.movie_id = t.id AND k.keyword ='character-name-In-title' AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND cn.country_code ='[sm]' AND t.id = mk.movie_id | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND k.id = mk.keyword_id AND n.name LIKE '%Hemsworth%Chris%' AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.production_year > 2010 AND n.id = ci.person_id | job |
Select Min(t.title) As movie_title From keyword As k, movie_info As mi, movie_keyword As mk, title As t Where mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND t.id = mi.movie_id AND mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.production_year > 2000 AND k.keyword Like '%sequel%' AND t.id = mk.movie_id | job |
SELECT i_item_id, AVG(ss_quantity) AS agg1, AVG(ss_sales_price) AS agg4, AVG(ss_coupon_amt) AS agg3, AVG(ss_list_price) AS agg2 FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE cd_marital_status = 'D' AND cd_education_status = 'Unknown' AND d_year = 2002 AND cd_gender = 'M' AND (p_channel_email = 'N' OR p_channel_event = 'N') GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT COUNT(*) FROM comments AS c, posts AS p, postHistory AS ph, votes AS v, users AS u WHERE ph.UserId = v.UserId AND p.AnswerCount >= 0 AND p.OwnerUserId = ph.UserId AND c.UserId = p.OwnerUserId AND p.Score <= 13 AND u.Id = c.UserId | stats |
SELECT i_item_id, AVG(cs_quantity) AS agg1, AVG(cs_list_price) AS agg2, AVG(cs_coupon_amt) AS agg3, AVG(cs_sales_price) AS agg4 FROM catalog_sales INNER JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk INNER JOIN date_dim ON cs_sold_date_sk = d_date_sk INNER JOIN item ON cs_item_sk = i_item_sk INNER JOIN promotion ON cs_promo_sk = p_promo_sk WHERE cd_marital_status = 'W' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND d_year = 2000 AND cd_education_status = 'Advanced Degree' AND cd_gender = 'M' GROUP BY i_item_id ORDER BY i_item_id; | 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 k.id = mk.keyword_id AND ci.person_id = an.person_id AND t.id = ci.movie_id AND k.keyword = 'anime' AND t.id = mk.movie_id AND mk.movie_id = ci.movie_id AND an.person_id = n.id AND ci.role_id = rt.id AND ct.id = mc.company_type_id AND mk.movie_id = mc.movie_id AND ci.note LIKE '%(voice: English version)%' AND n.id = ci.person_id AND t.id = mc.movie_id AND rt.role = 'actress' AND n.gender = 'f' AND t.production_year > 1990 AND cn.id = mc.company_id AND cn.country_code = '[jp]' AND mc.note LIKE '%(Japan)%' AND ci.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code ='[sm]' AND cn.id = mc.company_id AND mk.keyword_id = k.id AND k.keyword ='character-name-in-title' AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = t.id LIMIT 500; | job |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE an1.person_id = ci.person_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n1.name LIKE '%Yo%' AND an1.person_id = n1.id AND cn.country_code = '[jp]' AND rt.role = 'actress' AND ci.note = '(voice: English version)' AND n1.id = ci.person_id AND ci.movie_id = t.id AND ci.movie_id = mc.movie_id AND n1.name NOT LIKE '%Yu%' AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(Japan)%' AND t.id = mc.movie_id | job |
select min(an.name) as acress_pseudonym, min(t.title) as japanese_anime_movie from aka_name as an, cast_info as ci, company_name as cn, company_type as ct, keyword as k, movie_companies as mc, movie_keyword as mk, name as n, role_type as rt, title as t where ci.note like '%(voice: English version)%' AND ct.id = mc.company_type_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND k.keyword = 'anime' AND k.id = mk.keyword_id AND t.id = ci.movie_id AND mc.note like '%(Japan)%' AND mk.movie_id = ci.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND t.production_year > 1990 AND mc.note not like '%(USA)%' AND n.gender = 'f' AND cn.country_code = '[jp]' AND ci.person_id = an.person_id AND rt.role = 'actress' AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND cn.id = mc.company_id AND ci.role_id = rt.id | job |
SELECT AVG(ss_list_price) AS agg2, i_item_id, AVG(ss_sales_price) AS agg4, AVG(ss_quantity) AS agg1, 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 cd_gender = 'M' AND cd_marital_status = 'D' AND cd_education_status = '4 yr Degree' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND d_year = 2002 GROUP BY i_item_id ORDER BY i_item_id; | tpcds |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE an.person_id = ci.person_id AND mk.keyword_id = k.id AND k.keyword = 'character-name-in-title' AND mc.company_id = cn.id AND t.episode_nr >= 50 AND t.episode_nr < 100 AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND an.person_id = n.id AND t.id = mk.movie_id AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = t.id AND mc.movie_id = mk.movie_id | job |
SELECT l_shipmode, 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 FROM orders, lineitem WHERE l_receiptdate >= DATE 1 AND l_shipmode IN (1, 1) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipdate < l_commitdate AND o_orderkey = l_orderkey AND l_commitdate < l_receiptdate GROUP BY l_shipmode ORDER BY l_shipmode | 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 ='[nl]' AND mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND k.keyword ='character-name-in-title' AND mk.keyword_id = k.id AND t.id = mk.movie_id | job |
SELECT cc_call_center_id AS call_center, cc_manager AS manager, cc_name AS call_center_name, SUM(cr_net_loss) AS returns_loss 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_moy = 11 AND ( (cd_marital_status = 'S' AND cd_education_status = 'Advanced Degree') OR (hd_buy_potential LIKE '0-500%' AND ca_gmt_offset = -5) ) AND ca_gmt_offset = -5 AND d_year = 1999 GROUP BY cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status ORDER BY returns_loss DESC 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 cn.id = mc.company_id AND kt.id = t.kind_id AND it.info = 'rating' AND it2.info = 'release dates' AND miidx.movie_id = mc.movie_id AND ct.kind = 'production companies' AND mc.movie_id = t.id AND it2.id = mi.info_type_id AND kt.kind = 'movie' AND miidx.movie_id = t.id AND mi.movie_id = miidx.movie_id AND cn.country_code = '[de]' AND mi.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND it.id = miidx.info_type_id AND mi.movie_id = t.id | job |
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 cn.country_code = '[us]' AND t.id = mc.movie_id AND it.info = 'release dates' AND ml.movie_id = mc.movie_id AND it.id = mi.info_type_id AND mi.info LIKE 'USA:% 199%' AND k.id = mk.keyword_id AND ct.id = mc.company_type_id AND ml.movie_id = mi.movie_id AND mi.note LIKE '%internet%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND cn.id = mc.company_id AND t.id = ml.movie_id AND mc.note LIKE '%(USA)%' AND mi.movie_id = t.id AND lt.id = ml.link_type_id AND ml.movie_id = mk.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.production_year > 1950 AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND lt.link LIKE '%follow%' | job |
Select Avg(ss_list_price) As agg2, Avg(ss_quantity) As agg1, Avg(ss_sales_price) As agg4, i_item_id, 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 cd_education_status = 'Unknown' AND d_year = 2002 AND (p_channel_email = 'N' Or p_channel_event = 'N') AND cd_gender = 'M' AND cd_marital_status = 'D' Group By i_item_id Order By i_item_id Limit 100; | tpcds |
SELECT n_name, c_address, c_name, c_phone, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_comment, c_custkey, c_acctbal FROM customer, orders, lineitem, nation WHERE l_returnflag = 'R' AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND c_nationkey = n_nationkey AND o_orderdate >= DATE 1 AND c_custkey = o_custkey AND l_orderkey = o_orderkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
WITH _q AS ( SELECT COUNT(*) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE p.Id = ph.PostId AND p.ViewCount >= 0 ) SELECT * FROM _q AND p.Score <= 192 AND p.Id = c.PostId AND u.Id = p.OwnerUserId AND p.Id = v.PostId AND u.Id = b.UserId | 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 k.keyword ='character-name-in-title' AND t.id = mk.movie_id AND mk.keyword_id = k.id AND cn.country_code ='[de]' AND mc.movie_id = t.id AND cn.id = mc.company_id AND mc.movie_id = mk.movie_id | job |
SELECT MAX(ss_net_profit) AS store_sales_profit, s_store_id, s_store_name, i_item_id, MAX(sr_net_loss) AS store_returns_loss, 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 = 2001 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 2 AND 8 + 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 SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_custkey, c_phone, c_acctbal, n_name, c_name, c_address, c_comment FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_returnflag = 'R' AND c_nationkey = n_nationkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE r_name = 1 AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND l_suppkey = s_suppkey AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND o_orderdate >= DATE 1 AND c_nationkey = s_nationkey AND l_orderkey = o_orderkey AND c_custkey = o_custkey GROUP BY n_name ORDER BY revenue DESC LIMIT 50; | 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 b.UserId = u.Id AND p.Id = ph.PostId AND p.Id = c.PostId AND p.Id = pl.RelatedPostId AND pl.LinkTypeId = 1 AND c.UserId = u.Id AND p.Score <= 40 AND p.Id = v.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 it.id = mi_idx.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND it.info = 'top 250 rank' AND t.id = mi_idx.movie_id AND t.id = mc.movie_id | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie, MIN(cn.name) AS movie_company 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.movie_id = mi_idx.movie_id AND cn.country_code != '[us]' AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND it1.id = mi.info_type_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mc.note NOT LIKE '%(USA)%' AND t.id = mk.movie_id AND mi.movie_id = mc.movie_id AND t.id = mi.movie_id AND it2.info = 'rating' AND k.id = mk.keyword_id AND kt.kind IN ('movie', 'episode') AND mk.movie_id = mi_idx.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it1.info = 'countries' AND mc.note LIKE '%(200%)%' AND t.id = mi_idx.movie_id AND cn.id = mc.company_id AND mi_idx.info < '7.0' AND mk.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it2.id = mi_idx.info_type_id AND t.production_year > 2008 AND kt.id = t.kind_id AND mk.movie_id = mc.movie_id | job |
SELECT s_store_id, i_item_id, MAX(cs_net_profit) AS catalog_sales_profit, MAX(ss_net_profit) AS store_sales_profit, i_item_desc, s_store_name, MAX(sr_net_loss) AS store_returns_loss 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 = 2001 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 2 AND 8 + 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 cntrycode, COUNT(1) AS numcust, SUM(c_acctbal) AS totacctbal FROM ( SELECT SUBSTRING(c_phone FROM 1 FOR 2) AS cntrycode, c_acctbal FROM customer WHERE 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) ) AND NOT EXISTS ( SELECT * FROM orders WHERE o_custkey = c_custkey ) ) AS custsale GROUP BY cntrycode ORDER BY cntrycode LIMIT 20; | 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 at.title LIKE '%Champion%' AND kt.id = t.kind_id AND t.production_year > 2000 AND cn.id = mc.company_id AND t.id = at.movie_id AND it1.info = 'rating' AND mi.info LIKE 'USA:%200%' AND mi.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND it2.id = mi.info_type_id AND cn.country_code = '[us]' AND mi_idx.info < '3.5' AND at.movie_id = mc.movie_id AND mi_idx.movie_id = mc.movie_id AND it1.id = mi_idx.info_type_id AND at.movie_id = mi.movie_id AND t.id = mi.movie_id AND it2.info = 'release dates' AND t.id = mc.movie_id AND kt.kind = 'movie' | job |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE c_custkey = o_custkey AND o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND c_nationkey = n2.n_nationkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_nationkey = n1.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
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_marital_status = 'D' AND d_year = 2002 AND cd_education_status = 'Unknown' AND cd_gender = 'M' AND (p_channel_email = 'N' or p_channel_event = 'N') group by i_item_id order by i_item_id limit 100; | tpcds |
SELECT COUNT(1) FROM comments AS c, posts AS p, postHistory AS ph, votes AS v, users AS u WHERE u.Id = c.UserId AND p.Score <= 13 AND p.OwnerUserId = ph.UserId AND c.UserId = p.OwnerUserId AND ph.UserId = v.UserId AND p.AnswerCount >= 0 LIMIT 10; | stats |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE an.person_id = n.id AND k.keyword = 'anime' AND mc.note LIKE '%(Japan)%' AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND k.id = mk.keyword_id AND mc.note NOT LIKE '%(USA)%' AND cn.country_code = '[jp]' AND mk.movie_id = ci.movie_id AND mk.movie_id = mc.movie_id AND ci.note LIKE '%(voice: English version)%' AND cn.id = mc.company_id AND ci.person_id = an.person_id AND ci.role_id = rt.id AND t.id = ci.movie_id AND t.production_year > 1990 AND n.gender = 'f' AND n.id = ci.person_id AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND t.id = mk.movie_id | job |
SELECT SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share, o_year FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE c_nationkey = n1.n_nationkey AND r_name = 1 AND s_nationkey = n2.n_nationkey AND l_orderkey = o_orderkey AND n1.n_regionkey = r_regionkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND o_custkey = c_custkey AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND p_type = 1 ) AS all_nations GROUP BY o_year ORDER BY o_year | tpch |
WITH year_total AS ( SELECT c_birth_country AS customer_birth_country, c_login AS customer_login, 's' AS sale_type, c_email_address AS customer_email_address, c_preferred_cust_flag AS customer_preferred_cust_flag, c_last_name AS customer_last_name, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_customer_id AS customer_id, d_year AS dyear, 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(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf >= 'A' AND n.name_pcode_cf <= 'F' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1980 AND 1995 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id LIMIT 1000; | 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 LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id | 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 c_nationkey = n_nationkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND o_orderdate >= DATE 1 AND l_orderkey = o_orderkey AND l_returnflag = 'R' AND c_custkey = o_custkey 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(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.id = mc.company_type_id AND it.id = miidx.info_type_id AND mi.movie_id = t.id AND mc.movie_id = t.id AND cn.country_code = '[de]' AND kt.kind = 'movie' AND kt.id = t.kind_id AND miidx.movie_id = t.id AND it.info = 'rating' AND ct.kind = 'production companies' AND it2.info = 'release dates' AND mi.movie_id = miidx.movie_id AND miidx.movie_id = mc.movie_id AND cn.id = mc.company_id AND it2.id = mi.info_type_id AND mi.movie_id = mc.movie_id | job |
Select Avg(ss_quantity), Avg(ss_ext_sales_price), Avg(ss_ext_wholesale_cost), Sum(ss_ext_wholesale_cost) From store_sales Join store On s_store_sk = ss_store_sk Join customer_demographics On cd_demo_sk = ss_cdemo_sk Join household_demographics On hd_demo_sk = ss_hdemo_sk Join customer_address On ca_address_sk = ss_addr_sk Join date_dim On d_date_sk = ss_sold_date_sk Where s_market_id = 4 And d_year = 1999 And ( (cd_marital_status = 'S' And cd_education_status = '2 yr Degree' And ss_sales_price Between 83 And 135) Or (cd_marital_status = 'S' And cd_education_status = 'Secondary' And ss_sales_price Between 84 And 125) Or (cd_marital_status = 'D' And cd_education_status = 'College' And ss_sales_price Between 126 And 196) ) And ( (hd_dep_count = 0 And hd_vehicle_count <= 1) Or (hd_dep_count = 3 And hd_vehicle_count <= 4) Or (hd_dep_count = 6 And hd_vehicle_count <= 4) ) And ca_country = 'United States' And ca_state = ANY(ARRAY['TX', 'WA', 'FL']); | tpcds |
SELECT MIN(t.title) AS series_named_after_char, MIN(an.name) AS cool_actor_pseudonym FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE an.person_id = n.id AND cn.country_code = '[us]' AND n.id = ci.person_id AND an.person_id = ci.person_id AND k.keyword = 'character-name-in-title' AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = t.id AND t.id = mc.movie_id AND t.episode_nr < 100 AND mc.movie_id = mk.movie_id AND t.episode_nr >= 50 | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, votes AS v, users AS u WHERE u.Id = p.OwnerUserId AND p.ViewCount >= 0 AND u.Id = c.UserId AND c.Score = 0 AND p.Score >= 0 AND u.Id = v.UserId LIMIT 1000; | 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 k.id = mk.keyword_id AND n.name LIKE '%Hemsworth%Chris%' AND n.id = ci.person_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.movie_id AND t.production_year > 2010 | job |
SELECT n_name, c_address, c_phone, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_custkey, c_comment, c_acctbal FROM customer, orders, lineitem, nation WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate >= DATE 1 AND l_returnflag = 'R' AND c_nationkey = n_nationkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT c_name, o_orderkey, o_orderdate, SUM(l_quantity), c_custkey, o_totalprice 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, votes as v where p.Id = c.PostId AND p.Score >= -3 AND pl.PostId = v.PostId AND c.CreationDate >= '2010-08-02 23:52:10'::timestamp AND c.PostId = pl.PostId AND v.VoteTypeId = 2 | stats |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ct.id = mc.company_type_id AND chn.id = ci.person_role_id AND rt.role = 'actor' AND cn.country_code = '[ru]' AND ci.note LIKE '%(voice)%' AND ci.note LIKE '%(uncredited)%' AND t.production_year > 2005 AND cn.id = mc.company_id AND t.id = ci.movie_id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND rt.id = ci.role_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_commitdate < l_receiptdate AND l_shipdate < l_commitdate AND l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 1000; | tpch |
WITH _q AS ( SELECT COUNT(1) FROM comments AS c, badges AS b, users AS u WHERE c.UserId = b.UserId AND c.Score = 0 AND u.Id = c.UserId AND u.UpVotes >= 0 ) SELECT * FROM _q; | stats |
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 cn.country_code = '[jp]' AND an1.person_id = n1.id AND mc.note LIKE '%(Japan)%' AND rt.role = 'actress' AND ci.role_id = rt.id AND ci.note = '(voice: English version)' AND ci.movie_id = t.id AND t.id = mc.movie_id AND n1.name LIKE '%Yo%' 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 NOT LIKE '%Yu%' AND mc.company_id = cn.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.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 t.id = mc.movie_id AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'top 250 rank' | job |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where t.id = mk.movie_id and t.production_year > 2000 and mk.movie_id = mi.movie_id and mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German']) and t.id = mi.movie_id and k.id = mk.keyword_id and k.keyword like '%sequel%' | 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 it2.id = mi.info_type_id AND kt.kind = 'movie' AND cn.country_code = '[de]' AND miidx.movie_id = mc.movie_id AND mi.movie_id = miidx.movie_id AND it2.info = 'release dates' AND cn.id = mc.company_id AND ct.kind = 'production companies' AND mi.movie_id = t.id AND mc.movie_id = t.id AND it.id = miidx.info_type_id AND miidx.movie_id = t.id AND it.info = 'rating' AND mi.movie_id = mc.movie_id AND ct.id = mc.company_type_id | job |
Select i_manufact_id, Sum(ss_ext_sales_price) As ext_price, i_brand As brand, i_manufact, i_brand_id As brand_id From date_dim Join store_sales On d_date_sk = ss_sold_date_sk Join item On ss_item_sk = i_item_sk Join customer On ss_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join store On ss_store_sk = s_store_sk Where substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND d_moy = 11 AND d_year = 1999 AND i_manager_id = 73 Group By i_brand, i_brand_id, i_manufact_id, i_manufact Order By ext_price Desc, brand, brand_id, i_manufact_id, i_manufact Limit 100; | tpcds |
Select COUNT(*) From store_sales Join household_demographics On ss_hdemo_sk = hd_demo_sk Join time_dim On ss_sold_time_sk = t_time_sk Join store On ss_store_sk = s_store_sk Where t_hour = 16 And t_minute >= 43 And hd_dep_count = 4 And s_store_name = 'ought' Order By COUNT(*) Desc Limit 100; | tpcds |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mc.movie_id AND ct.kind = 'production companies' AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND it.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | 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 = ph.PostId AND u.Id = b.UserId AND p.ViewCount >= 0 AND p.Id = v.PostId AND u.Id = p.OwnerUserId AND p.Score <= 192 AND p.Id = c.PostId | stats |
Select MAX(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 mc.movie_id = t.id AND mk.keyword_id = k.id AND cn.country_code ='[sm]' AND t.id = mk.movie_id AND cn.id = mc.company_id AND k.keyword ='character-name-In-title' | job |
SELECT i_item_desc, MAX(cs_net_profit) AS catalog_sales_profit, MAX(ss_net_profit) AS store_sales_profit, MAX(sr_net_loss) AS store_returns_loss, s_store_name, s_store_id, i_item_id FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_year = 2002 AND d2.d_year = 2002 AND d2.d_moy BETWEEN 5 AND 5 + 3 AND d1.d_moy BETWEEN 5 AND 5 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 MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German']) AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND k.keyword LIKE '%sequel%' AND t.id = mk.movie_id AND t.production_year > 2005 | job |
WITH year_total AS ( SELECT d_year AS dyear, c_preferred_cust_flag AS customer_preferred_cust_flag, c_last_name AS customer_last_name, 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, c_birth_country AS customer_birth_country, c_email_address AS customer_email_address, 's' AS sale_type, 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 l_orderkey, sum(l_extendedprice * (1 - l_discount)) as revenue, o_orderdate, o_shippriority from customer, orders, lineitem where o_orderdate < DATE 1 AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND c_mktsegment = 1 AND l_shipdate > DATE 1 group by l_orderkey, o_orderdate, o_shippriority order by revenue desc, o_orderdate limit 10 | tpch |
SELECT CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100, total, promotions FROM ( SELECT SUM(ss_ext_sales_price) AS promotions FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN promotion ON ss_promo_sk = p_promo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE i_category = 'Jewelry' AND d_moy = 12 ) AS all_sales AND i_category = 'Jewelry' AND s_gmt_offset = -6 AND ca_gmt_offset = -6 AND d_year = 2002 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 d_year = 2002 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND s_gmt_offset = -6 ORDER BY promotions, total 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 an.person_id = n.id AND t.id = mc.movie_id AND t.id = mi.movie_id AND n.id = ci.person_id AND cn.id = mc.company_id AND n.gender = 'f' AND ci.role_id = rt.id AND it.info = 'release dates' AND t.production_year > 2000 AND mi.movie_id = ci.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND chn.id = ci.person_role_id AND ci.movie_id = mc.movie_id AND ci.person_id = an.person_id AND mc.note LIKE '%(USA)%' AND t.id = ci.movie_id AND it.id = mi.info_type_id AND rt.role = 'actress' AND cn.country_code = '[us]' AND mi.movie_id = mc.movie_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 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.id = mk.keyword_id and t.id = mk.movie_id and k.keyword like '%sequel%' and t.production_year > 2005 | 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_commitdate < l_receiptdate AND o_orderkey = l_orderkey AND l_receiptdate >= DATE 1 AND l_shipmode IN (1, 1) AND l_shipdate < l_commitdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT AVG(ss_quantity), SUM(ss_ext_wholesale_cost), 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 d_year = 2001 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 s_market_id = 8 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 ca_state IN ('TX', 'GA', 'FL') AND ca_country = 'United States' | tpcds |
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 at.movie_id = mi.movie_id AND mi_idx.info < '3.5' AND t.id = mi_idx.movie_id AND cn.id = mc.company_id AND mi_idx.movie_id = mc.movie_id AND t.production_year > 2000 AND mi.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND at.movie_id = mc.movie_id AND at.title LIKE '%Champion%' AND kt.id = t.kind_id AND t.id = at.movie_id AND mi.info LIKE 'USA:%200%' AND cn.country_code = '[us]' AND mi.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND kt.kind = 'movie' AND it2.info = 'release dates' AND t.id = mi.movie_id AND it1.id = mi_idx.info_type_id AND at.movie_id = mi_idx.movie_id | job |
SELECT s_name, s_address FROM supplier, nation WHERE s_suppkey IN ( SELECT ps_suppkey FROM partsupp WHERE ps_partkey IN ( SELECT p_partkey FROM part WHERE p_name LIKE 1 ) AND ps_availqty > ( SELECT 0.5 * SUM(l_quantity) FROM lineitem WHERE l_partkey = ps_partkey AND l_suppkey = ps_suppkey AND l_shipdate >= DATE 1 AND l_shipdate < DATE 1 + INTERVAL '1' YEAR ) ) AND s_nationkey = n_nationkey AND n_name = 1 ORDER BY s_name; | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id AND ct.kind = 'production companies' 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 AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT COUNT(1) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE p.ViewCount >= 0 AND p.Id = v.PostId AND p.Id = ph.PostId AND p.Id = c.PostId AND u.Id = p.OwnerUserId AND p.Score <= 192 AND u.Id = b.UserId | stats |
SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_partkey = ps_partkey AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_type NOT LIKE 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_brand <> 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size LIMIT 100; | 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 mc.note LIKE '%(Japan)%' AND k.keyword = 'anime' AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND k.id = mk.keyword_id AND ci.role_id = rt.id AND mc.note NOT LIKE '%(USA)%' AND mk.movie_id = ci.movie_id AND mk.movie_id = mc.movie_id AND rt.role = 'actress' AND cn.country_code = '[jp]' AND an.person_id = n.id AND n.id = ci.person_id AND t.id = mk.movie_id AND t.production_year > 1990 AND ct.id = mc.company_type_id AND ci.person_id = an.person_id AND cn.id = mc.company_id AND n.gender = 'f' AND ci.note LIKE '%(voice: English version)%' | job |
SELECT i_item_id, MAX(ss_net_profit) AS store_sales_profit, s_store_id, MAX(sr_net_loss) AS store_returns_loss, MAX(cs_net_profit) AS catalog_sales_profit, i_item_desc, s_store_name 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 >= 3 AND d1.d_moy <= 7 AND d1.d_year = 2002 AND d2.d_moy BETWEEN 3 AND 7 + 3 AND d2.d_year = 2002 AND d3.d_moy BETWEEN 3 AND 7 + 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 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 pl.LinkTypeId = 1 AND c.UserId = u.Id AND p.Id = ph.PostId AND b.UserId = u.Id AND p.Id = c.PostId AND p.Score <= 40 AND p.Id = pl.RelatedPostId | stats |
SELECT c_last_name, ss_ticket_number, extended_tax, extended_price, c_first_name, ca_city, list_price, bought_city FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 4 OR hd_vehicle_count = 4) AND d_dow = ANY(ARRAY[6, 0]) AND d_year IN (2001, 2000, 2001) AND s_city IN ('Clinton', 'Glendale') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT AVG(ss_list_price) AS agg2, AVG(ss_sales_price) AS agg4, i_item_id, AVG(ss_quantity) AS agg1, 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 d_year = 2000 AND cd_education_status = 'Advanced Degree' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_marital_status = 'W' AND cd_gender = 'F' GROUP BY i_item_id ORDER BY i_item_id 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.id = mk.movie_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND t.id = ci.movie_id AND t.production_year > 2010 AND n.name LIKE '%Hemsworth%Chris%' AND k.keyword = 'marvel-cinematic-universe' AND ci.movie_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 n1.id = ci.person_id AND mc.note NOT LIKE '%(USA)%' AND mc.company_id = cn.id AND mc.note LIKE '%(Japan)%' AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND ci.note = '(voice: English version)' AND an1.person_id = n1.id AND n1.name NOT LIKE '%Yu%' AND n1.name LIKE '%Yo%' AND rt.role = 'actress' AND ci.movie_id = t.id AND cn.country_code = '[jp]' AND ci.role_id = rt.id AND an1.person_id = ci.person_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 k.id = mk.keyword_id AND n.gender = 'f' AND t.id = mc.movie_id AND n.id = ci.person_id AND mk.movie_id = mc.movie_id AND rt.role = 'actress' AND mc.note NOT LIKE '%(USA)%' AND ct.id = mc.company_type_id AND ci.role_id = rt.id AND t.id = ci.movie_id AND an.person_id = n.id AND ci.person_id = an.person_id AND ci.note LIKE '%(voice: English version)%' AND mc.note LIKE '%(Japan)%' AND t.production_year > 1990 AND cn.id = mc.company_id AND ci.movie_id = mc.movie_id AND k.keyword = 'anime' AND t.id = mk.movie_id AND mk.movie_id = ci.movie_id AND cn.country_code = '[jp]' | job |
SELECT AVG(ss_quantity) AS agg1, i_item_id, 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_marital_status = 'W' AND cd_education_status = 'Advanced Degree' AND d_year = 2000 AND cd_gender = 'F' AND (p_channel_email = 'N' OR p_channel_event = 'N') GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
WITH _q AS ( 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_gender = 'F' AND cd_marital_status = 'W' AND cd_education_status = 'Advanced Degree' AND d_year = 2000 AND (p_channel_email = 'N' OR p_channel_event = 'N') GROUP BY i_item_id ORDER BY i_item_id LIMIT 100 ) SELECT * FROM _q; | tpcds |
SELECT AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, i_item_id, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, s_state, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(sr_return_quantity) AS store_returns_quantityave, i_item_desc, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, AVG(cs_quantity) AS catalog_sales_quantityave, COUNT(cs_quantity) AS catalog_sales_quantitycount FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '1999Q2' AND d2.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') AND d3.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
SELECT 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 k.keyword = 'marvel-cinematic-universe' AND t.id = ci.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 t.id = mk.movie_id LIMIT 200; | job |
Select c_last_name, extended_price, c_first_name, ca_city, extended_tax, ss_ticket_number, list_price, bought_city From ( Select ss_ticket_number, ss_customer_sk, ca_city As bought_city, Sum(ss_ext_sales_price) As extended_price, Sum(ss_ext_list_price) As list_price, Sum(ss_ext_tax) As extended_tax From store_sales Join date_dim On ss_sold_date_sk = d_date_sk Join store On ss_store_sk = s_store_sk Join household_demographics On ss_hdemo_sk = hd_demo_sk Join customer_address On ss_addr_sk = ca_address_sk Where (hd_dep_count = 5 Or hd_vehicle_count = 0) AND d_year In (2000, 2002, 2001) AND s_city In ('Clinton', 'Oak Grove') AND d_dow In (6, 0) 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 o_shippriority, l_orderkey, sum(l_extendedprice * (1 - l_discount)) as revenue, o_orderdate from customer, orders, lineitem where l_orderkey = o_orderkey AND c_custkey = o_custkey AND c_mktsegment = 1 AND l_shipdate > DATE 1 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 company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mk.keyword_id = k.id AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND t.id = mk.movie_id AND k.keyword ='character-name-IN-title' AND mc.movie_id = t.id AND cn.country_code ='[nl]' | job |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.