text stringlengths 84 1.49k | benchmark stringclasses 4
values |
|---|---|
SELECT i_item_id, MAX(cs_net_profit) AS catalog_sales_profit, s_store_id, s_store_name, i_item_desc, MAX(sr_net_loss) AS store_returns_loss, MAX(ss_net_profit) AS store_sales_profit FROM store_sales INNER 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 INNER 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 INNER JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk INNER JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk INNER JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk INNER JOIN store ON store_sales.ss_store_sk = store.s_store_sk INNER JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d2.d_moy BETWEEN 2 AND 8 + 3 AND d1.d_moy BETWEEN 2 AND 8 AND d1.d_year = 2001 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) AS sum_base_price, l_linestatus, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, COUNT(*) AS count_order, AVG(l_discount) AS avg_disc, l_returnflag, SUM(l_quantity) AS sum_qty, AVG(l_quantity) AS avg_qty, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge 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 n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE c_nationkey = s_nationkey AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND r_name = 1 AND l_suppkey = s_suppkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND s_nationkey = n_nationkey AND o_orderdate >= DATE 1 AND n_regionkey = r_regionkey GROUP BY n_name ORDER BY revenue ASC | tpch |
SELECT i_item_id, MAX(sr_net_loss) AS store_returns_loss, s_store_name, i_item_desc, s_store_id, MAX(ss_net_profit) AS store_sales_profit, 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 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 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 t.id = mc.movie_id AND ct.kind = 'production companies' AND it.id = mi_idx.info_type_id AND it.info = 'top 250 rank' AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, votes AS v WHERE c.CreationDate >= '2010-08-02 23:52:10'::timestamp AND c.PostId = pl.PostId AND v.VoteTypeId = 2 AND p.Id = c.PostId AND pl.PostId = v.PostId AND p.Score >= -3 LIMIT 10; | 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 mk.keyword_id = k.id AND cn.country_code ='[nl]' AND mc.movie_id = t.id AND cn.id = mc.company_id AND mc.movie_id = mk.movie_id AND k.keyword ='character-name-in-title' LIMIT 500; | job |
SELECT nation, o_year, SUM(amount) AS sum_profit FROM ( SELECT n_name AS nation, EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount FROM part, supplier, lineitem, partsupp, orders, nation WHERE p_partkey = l_partkey AND ps_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND s_suppkey = l_suppkey AND ps_partkey = l_partkey AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year DESC LIMIT 100; | tpch |
SELECT s_name, s_address, s_acctbal, s_phone, s_comment, p_partkey, n_name, p_mfgr FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(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 mc.note LIKE '%(USA)%' AND cn.country_code = '[us]' AND mi.info LIKE 'USA:% 199%' AND ct.id = mc.company_type_id AND ml.movie_id = mk.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND cn.id = mc.company_id AND t.production_year > 1950 AND t.id = mk.movie_id AND t.id = mc.movie_id AND ml.movie_id = mi.movie_id AND it.info = 'release dates' AND t.id = ml.movie_id AND mi.movie_id = t.id AND lt.id = ml.link_type_id AND k.id = mk.keyword_id AND it.id = mi.info_type_id AND ml.movie_id = mc.movie_id AND lt.link LIKE '%follow%' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mi.note LIKE '%internet%' AND mk.movie_id = mc.movie_id | job |
select count(*) from comments as c, postHistory as ph, badges as b, votes as v, users as u where v.UserId = c.UserId AND u.UpVotes = 0 AND ph.UserId = v.UserId AND b.UserId = ph.UserId AND u.Id = b.UserId AND ph.PostHistoryTypeId = 12 | stats |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.id = mk.keyword_id AND t.production_year > 2005 AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.keyword LIKE '%sequel%' AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.id = mi.movie_id LIMIT 200; | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.id = ci.movie_id AND t.production_year > 2010 AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id 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 i_item_desc, MAX(ss_net_profit) AS store_sales_profit, MAX(cs_net_profit) AS catalog_sales_profit, s_store_id, i_item_id, MAX(sr_net_loss) AS store_returns_loss, 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 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 MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE miidx.movie_id = t.id AND it2.info = 'release dates' AND cn.country_code = '[de]' AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND mi.movie_id = miidx.movie_id AND kt.id = t.kind_id AND mi.movie_id = t.id AND kt.kind = 'movie' AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND miidx.movie_id = mc.movie_id AND it.info = 'rating' AND mc.movie_id = t.id AND it.id = miidx.info_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 = mi.movie_id AND k.keyword LIKE '%sequel%' AND t.id = mk.movie_id AND k.id = mk.keyword_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.production_year > 2000 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 = miidx.movie_id AND miidx.movie_id = mc.movie_id AND mi.movie_id = t.id AND miidx.movie_id = t.id AND mi.movie_id = mc.movie_id AND ct.kind = 'production companies' AND mc.movie_id = t.id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND kt.id = t.kind_id AND cn.country_code = '[de]' AND it2.info = 'release dates' AND kt.kind = 'movie' AND it.info = 'rating' AND it.id = miidx.info_type_id | job |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE it.info = 'release dates' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND cn.country_code = '[us]' AND mi.movie_id = t.id AND ml.movie_id = mc.movie_id AND lt.link LIKE '%follow%' AND t.production_year > 1950 AND cn.id = mc.company_id AND mi.info LIKE 'USA:% 199%' AND t.id = ml.movie_id AND mi.note LIKE '%internet%' AND ml.movie_id = mi.movie_id AND ml.movie_id = mk.movie_id AND mc.note LIKE '%(USA)%' AND it.id = mi.info_type_id AND ct.id = mc.company_type_id AND lt.id = ml.link_type_id AND t.id = mc.movie_id AND mk.movie_id = mc.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND t.id = mk.movie_id AND k.id = mk.keyword_id | job |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND k.keyword = 'character-name-IN-title' AND ci.movie_id = t.id AND cn.country_code = '[us]' AND mc.company_id = cn.id AND an.person_id = ci.person_id AND mc.movie_id = mk.movie_id AND an.person_id = n.id AND n.id = ci.person_id AND t.episode_nr < 100 AND t.id = mk.movie_id AND mk.keyword_id = k.id AND ci.movie_id = mk.movie_id AND t.episode_nr >= 50 | 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 it2.info = 'release dates' AND kt.kind = 'movie' AND at.movie_id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND kt.id = t.kind_id AND it2.id = mi.info_type_id AND t.id = mi.movie_id AND cn.country_code = '[us]' AND t.id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND at.movie_id = mc.movie_id AND cn.id = mc.company_id AND t.id = at.movie_id AND at.movie_id = mi.movie_id AND at.title LIKE '%Champion%' AND t.id = mc.movie_id AND mi_idx.movie_id = mc.movie_id AND mi_idx.info < '3.5' AND mi.movie_id = mi_idx.movie_id AND it1.info = 'rating' AND it1.id = mi_idx.info_type_id AND t.production_year > 2000 | job |
SELECT extended_tax, bought_city, c_first_name, list_price, ca_city, c_last_name, extended_price, ss_ticket_number FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 5 OR hd_vehicle_count = 0) AND d_dow IN (6, 0) AND d_year IN (1999, 2002, 2003) 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(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 t.id = mc.movie_id AND mi_idx.movie_id = mc.movie_id AND t.id = mi.movie_id AND at.movie_id = mi.movie_id AND t.id = at.movie_id AND it2.info = 'release dates' AND kt.kind = 'movie' AND kt.id = t.kind_id AND it1.id = mi_idx.info_type_id AND at.movie_id = mc.movie_id AND at.movie_id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND t.id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND t.production_year > 2000 AND cn.id = mc.company_id AND mi.movie_id = mi_idx.movie_id AND it1.info = 'rating' AND cn.country_code = '[us]' AND it2.id = mi.info_type_id AND mi_idx.info < '3.5' | job |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE p_type LIKE 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND n_regionkey = r_regionkey AND r_name = 1 AND p_size = 1 AND s_nationkey = n_nationkey AND p_partkey = ps_partkey AND s_suppkey = ps_suppkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT CAST(promotions AS DECIMAL(15, 4)) / CAST(total AS DECIMAL(15, 4)) * 100, promotions, total 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 s_gmt_offset = -6 AND s_gmt_offset = -6 AND d_year = 2002 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') 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 d_moy = 12 ) AS all_sales AND i_category = 'Jewelry' AND ca_gmt_offset = -6 AND d_year = 2002 ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT o_orderdate, o_shippriority, SUM(l_extendedprice * (1 - l_discount)) AS revenue, l_orderkey FROM customer, orders, lineitem WHERE c_custkey = o_custkey AND l_shipdate > DATE 1 AND o_orderdate < DATE 1 AND l_orderkey = o_orderkey AND c_mktsegment = 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | tpch |
SELECT c_first_name, c_salutation, cnt, c_preferred_cust_flag, c_last_name, ss_ticket_number 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 BETWEEN 1 AND 2 AND d_year = ANY(ARRAY[1999, 2002, 2001]) AND s_county IN ('Williamson County', 'Jefferson County', 'Jackson County', 'Champaign County') AND hd_vehicle_count > 0 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') 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 s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND n_name = 1 AND s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' 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 NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND o_orderkey = l1.l_orderkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT c_last_name, c_preferred_cust_flag, c_salutation, c_first_name, 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 hd_vehicle_count > 0 AND d_dom BETWEEN 1 AND 2 AND d_year IN (1999, 2002, 2001) AND s_county IN ('Williamson County', 'Jefferson County', 'Jackson County', 'Champaign County') AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj INNER JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt ASC LIMIT 1000; | tpcds |
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 = mk.movie_id AND k.keyword LIKE '%sequel%' AND t.production_year > 2010 AND t.id = mi.movie_id AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German']) | job |
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 BETWEEN 1 AND 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') AND d_year IN (2001, 2001, 2001) AND hd_vehicle_count > 0 GROUP BY ss_ticket_number, ss_customer_sk ) AS dj INNER JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
select count(1) from badges as b, users as u where b.UserId = u.Id and u.UpVotes >= 0 limit 20; | stats |
SELECT c_first_name, c_salutation, cnt, c_preferred_cust_flag, c_last_name, ss_ticket_number FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND s_county IN ('Williamson County', 'Daviess County', 'Oglethorpe County', 'Maricopa County') AND d_dom BETWEEN 1 AND 2 AND hd_vehicle_count > 0 AND d_year IN (1999, 2001, 2002) GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT s_comment, p_mfgr, s_name, s_address, n_name, s_acctbal, p_partkey, s_phone FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey; | tpch |
SELECT s_suppkey, s_address, s_name, s_phone, total_revenue FROM supplier, revenue0 WHERE total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) AND s_suppkey = supplier_no ORDER BY s_suppkey LIMIT 100; | tpch |
select i_item_id, i_item_desc, s_store_id, s_store_name, sum(ss_quantity) as store_sales_quantity, sum(sr_return_quantity) as store_returns_quantity, sum(cs_quantity) as catalog_sales_quantity from store_sales join store_returns on ss_customer_sk = sr_customer_sk and ss_item_sk = sr_item_sk and ss_ticket_number = sr_ticket_number join catalog_sales on sr_customer_sk = cs_bill_customer_sk and sr_item_sk = cs_item_sk join date_dim as d1 on ss_sold_date_sk = d1.d_date_sk join date_dim as d2 on sr_returned_date_sk = d2.d_date_sk join date_dim as d3 on cs_sold_date_sk = d3.d_date_sk join store on ss_store_sk = s_store_sk join item on ss_item_sk = i_item_sk where d3.d_moy between 3 and 3 + 3 and d1.d_moy = 3 and d2.d_moy between 3 and 3 + 3 and d1.d_year = 2001 and d3.d_year = 2001 and d2.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 s_phone, p_partkey, s_acctbal, s_address, s_comment, p_mfgr, s_name, n_name FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
WITH _q AS ( 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 p.Id = pl.RelatedPostId AND p.Id = c.PostId AND p.Score <= 40 AND p.Id = ph.PostId AND b.UserId = u.Id AND c.UserId = u.Id AND p.Id = v.PostId AND pl.LinkTypeId = 1 ) SELECT * FROM _q | 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 t.id = ci.movie_id AND ct.id = mc.company_type_id AND t.production_year > 2005 AND ci.note LIKE '%(voice)%' AND ci.note LIKE '%(uncredited)%' AND chn.id = ci.person_role_id AND cn.country_code = '[ru]' AND cn.id = mc.company_id AND rt.role = 'actor' AND rt.id = ci.role_id AND t.id = mc.movie_id AND ci.movie_id = mc.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 o_orderkey = l_orderkey AND l_receiptdate >= DATE 1 AND l_shipmode = ANY(ARRAY[1, 1]) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipdate < l_commitdate AND l_commitdate < l_receiptdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
select i_item_id, avg(ss_quantity) as store_sales_quantityave, STDDEV_SAMP(sr_return_quantity) as store_returns_quantitystdev, STDDEV_SAMP(ss_quantity) as store_sales_quantitystdev, STDDEV_SAMP(sr_return_quantity) / avg(sr_return_quantity) as store_returns_quantitycov, avg(cs_quantity) as catalog_sales_quantityave, count(ss_quantity) as store_sales_quantitycount, STDDEV_SAMP(cs_quantity) / avg(cs_quantity) as catalog_sales_quantitycov, count(sr_return_quantity) as store_returns_quantitycount, count(cs_quantity) as catalog_sales_quantitycount, s_state, i_item_desc, STDDEV_SAMP(ss_quantity) / avg(ss_quantity) as store_sales_quantitycov, avg(sr_return_quantity) as store_returns_quantityave from store_sales join store_returns on ss_customer_sk = sr_customer_sk and ss_item_sk = sr_item_sk and ss_ticket_number = sr_ticket_number join catalog_sales on sr_customer_sk = cs_bill_customer_sk and sr_item_sk = cs_item_sk join date_dim as d1 on d1.d_date_sk = ss_sold_date_sk join date_dim as d2 on sr_returned_date_sk = d2.d_date_sk join date_dim as d3 on cs_sold_date_sk = d3.d_date_sk join store on ss_store_sk = s_store_sk join item on ss_item_sk = i_item_sk where d2.d_quarter_name in ('1999Q1', '2002Q2', '1999Q4') and d3.d_quarter_name in ('1999Q1', '2002Q2', '1999Q4') and d1.d_quarter_name = '1999Q1' 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(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 it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND ct.kind = 'production companies' AND t.id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id | job |
SELECT total, promotions, 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 s_gmt_offset = -7 AND ca_gmt_offset = -7 AND d_year = 1998 AND d_year = 1998 AND d_moy = 9 ) AS all_sales AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND i_category = 'Electronics' AND s_gmt_offset = -7 AND d_moy = 9 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -7 AND i_category = 'Electronics' ORDER BY promotions, total LIMIT 100; | tpcds |
Select i_item_desc, Max(ss_net_profit) As store_sales_profit, s_store_name, s_store_id, Max(sr_net_loss) As store_returns_loss, i_item_id, 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 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 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 = t.id AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND k.keyword ='character-name-in-title' AND cn.id = mc.company_id LIMIT 20; | job |
SELECT i_item_desc, i_current_price, i_item_id FROM item JOIN inventory ON i_item_sk = inv_item_sk JOIN date_dim ON d_date_sk = inv_date_sk JOIN catalog_sales ON cs_item_sk = i_item_sk WHERE i_current_price BETWEEN 100 AND 100 + 30 AND d_date BETWEEN CAST('2000-05-01' AS DATE) AND (CAST('2000-05-01' AS DATE) + INTERVAL '60 days') AND i_manufact_id IN (195, 412, 338, 267) AND inv_quantity_on_hand BETWEEN 100 AND 500 GROUP BY i_item_id, i_item_desc, i_current_price ORDER BY i_item_id; | tpcds |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND o_custkey = c_custkey AND s_suppkey = l_suppkey AND l_orderkey = o_orderkey AND r_name = 1 AND c_nationkey = n1.n_nationkey AND p_type = 1 ) AS all_nations AND n1.n_regionkey = r_regionkey AND s_nationkey = n2.n_nationkey AND p_partkey = l_partkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE ml.movie_id = mi.movie_id AND it.info = 'release dates' AND k.keyword = ANY(ARRAY['sequel', 'revenge', 'based-on-novel']) AND it.id = mi.info_type_id AND mi.note LIKE '%internet%' AND t.id = mc.movie_id AND mk.movie_id = mc.movie_id AND cn.country_code = '[us]' AND lt.link LIKE '%follow%' AND k.id = mk.keyword_id AND t.id = ml.movie_id AND mi.info LIKE 'USA:% 199%' AND ml.movie_id = mk.movie_id AND t.production_year > 1950 AND mi.movie_id = t.id AND t.id = mk.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND lt.id = ml.link_type_id AND ml.movie_id = mc.movie_id AND cn.id = mc.company_id AND mc.note LIKE '%(USA)%' AND ct.id = mc.company_type_id | job |
SELECT MIN(t.title) AS japanese_anime_movie, MIN(an.name) AS acress_pseudonym FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE mc.note LIKE '%(Japan)%' AND t.id = mk.movie_id AND an.person_id = n.id AND ct.id = mc.company_type_id AND cn.country_code = '[jp]' AND k.keyword = 'anime' AND rt.role = 'actress' AND t.id = mc.movie_id AND cn.id = mc.company_id AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND t.id = ci.movie_id AND ci.role_id = rt.id AND mc.note NOT LIKE '%(USA)%' AND n.gender = 'f' AND n.id = ci.person_id AND ci.person_id = an.person_id AND t.production_year > 1990 AND ci.note LIKE '%(voice: English version)%' AND ci.movie_id = mc.movie_id AND mk.movie_id = ci.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 kt.id = t.kind_id and cn.country_code = '[de]' and it.info = 'rating' and mi.movie_id = miidx.movie_id and it2.id = mi.info_type_id and miidx.movie_id = t.id and cn.id = mc.company_id and kt.kind = 'movie' and it2.info = 'release dates' and mi.movie_id = t.id and mc.movie_id = t.id and ct.kind = 'production companies' and miidx.movie_id = mc.movie_id and mi.movie_id = mc.movie_id and ct.id = mc.company_type_id and it.id = miidx.info_type_id | job |
with year_total as ( select c_last_name as customer_last_name, c_customer_id as customer_id, c_birth_country as customer_birth_country, c_login as customer_login, c_preferred_cust_flag as customer_preferred_cust_flag, 's' as sale_type, c_email_address as customer_email_address, c_first_name as customer_first_name, sum(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) as year_total, d_year as dyear 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 p_brand, p_size, count(distinct ps_suppkey) as supplier_cnt, p_type from partsupp, part where p_type not like 1 and ps_suppkey not in ( select s_suppkey from supplier where s_comment like '%Customer%Complaints%' ) and p_brand <> 1 and p_partkey = ps_partkey and p_size in (1, 1, 1, 1, 1, 1, 1, 1) group by p_brand, p_type, p_size order by supplier_cnt desc, p_brand, p_type, p_size | tpch |
select sum(l_quantity) as sum_qty, sum(l_extendedprice * (1 - l_discount)) as sum_disc_price, avg(l_quantity) as avg_qty, avg(l_discount) as avg_disc, avg(l_extendedprice) as avg_price, l_linestatus, sum(l_extendedprice) as sum_base_price, l_returnflag, count(*) as count_order, sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) as sum_charge 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 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 mk.keyword_id = k.id AND cn.country_code ='[sm]' AND t.id = mk.movie_id AND k.keyword ='character-name-in-title' AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.id | job |
SELECT MIN(mc.note) AS production_note, MIN(t.production_year) AS movie_year, MIN(t.title) AS movie_title FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mi_idx.movie_id AND ct.id = mc.company_type_id 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 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)%') | job |
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_year IN (2001, 2001, 2001) AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND d_dom BETWEEN 1 AND 2 AND s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj INNER JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
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 77 AND 143) OR (cd_marital_status = 'M' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 99 AND 100) OR (cd_marital_status = 'W' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 134 AND 179) ) AND ca_state IN ('TX', 'GA', 'NC') AND ( (hd_dep_count = 2 AND hd_vehicle_count <= 3) OR (hd_dep_count = 4 AND hd_vehicle_count <= 3) OR (hd_dep_count = 5 AND hd_vehicle_count <= 5) ) AND ca_country = 'United States' AND d_year = 2001 AND s_market_id = 9 | 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 pi.note = 'Volker Boehm' AND ci.movie_id = ml.linked_movie_id AND pi.person_id = an.person_id AND an.person_id = ci.person_id AND t.id = ci.movie_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND t.production_year BETWEEN 1980 AND 1995 AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND lt.id = ml.link_type_id AND ml.linked_movie_id = t.id AND it.info = 'mini biography' AND ci.person_id = n.id AND n.id = an.person_id AND n.id = pi.person_id AND pi.person_id = ci.person_id AND an.name LIKE '%a%' AND it.id = pi.info_type_id | job |
SELECT COUNT(sr_return_quantity) AS store_returns_quantitycount, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(ss_quantity) AS store_sales_quantityave, i_item_desc, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, s_state, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, COUNT(ss_quantity) AS store_sales_quantitycount, i_item_id, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov 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 d3.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') AND d1.d_quarter_name = '1999Q2' AND d2.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 bought_city, extended_tax, c_first_name, ss_ticket_number, list_price, c_last_name, ca_city, extended_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 (hd_dep_count = 4 OR hd_vehicle_count = 4) AND d_dow IN (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 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.production_year > 2000 And mi.info In ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') And t.id = mi.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 t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.production_year > 1990 AND n.gender = 'f' AND mc.note LIKE '%(Japan)%' AND n.id = ci.person_id AND t.id = mk.movie_id AND mk.movie_id = ci.movie_id AND ct.id = mc.company_type_id AND an.person_id = n.id AND ci.movie_id = mc.movie_id AND k.keyword = 'anime' AND ci.note LIKE '%(voice: English version)%' AND ci.person_id = an.person_id AND t.id = ci.movie_id AND mk.movie_id = mc.movie_id AND ci.role_id = rt.id AND cn.country_code = '[jp]' AND cn.id = mc.company_id AND k.id = mk.keyword_id AND rt.role = 'actress' | 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 k.id = mk.keyword_id AND t.production_year > 2005 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.keyword like '%sequel%' | job |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE c_nationkey = n1.n_nationkey AND s_nationkey = n2.n_nationkey AND r_name = 1 AND p_partkey = l_partkey 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 s_suppkey = l_suppkey AND o_custkey = c_custkey AND p_type = 1 ) AS all_nations GROUP BY o_year ORDER BY o_year | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, votes AS v WHERE p.Id = c.PostId AND c.CreationDate >= '2010-08-02 23:52:10'::timestamp AND v.VoteTypeId = 2 AND c.PostId = pl.PostId AND pl.PostId = v.PostId AND p.Score >= -3 | 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 mc.company_id = cn.id AND mc.movie_id = mk.movie_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mk.keyword_id = k.id AND an.person_id = ci.person_id AND t.episode_nr < 100 AND t.id = mk.movie_id AND an.person_id = n.id AND cn.country_code = '[us]' AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND t.episode_nr >= 50 AND k.keyword = 'character-name-in-title' AND ci.movie_id = mc.movie_id | job |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE it.id = mi.info_type_id AND t.id = mc.movie_id AND n.gender = 'f' AND cn.country_code = '[us]' AND mc.note LIKE '%(USA)%' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND rt.role = 'actress' AND cn.id = mc.company_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND n.id = ci.person_id AND ci.person_id = an.person_id AND t.id = mi.movie_id AND chn.id = ci.person_role_id AND t.id = ci.movie_id AND ci.role_id = rt.id AND mi.movie_id = ci.movie_id AND an.person_id = n.id AND it.info = 'release dates' AND t.production_year > 2000 | job |
SELECT i_item_id, AVG(ss_quantity) AS agg1, AVG(ss_list_price) AS agg2, AVG(ss_sales_price) AS agg4, 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 = 2002 AND cd_marital_status = 'D' AND cd_education_status = '4 yr Degree' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_gender = 'M' 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 n.name LIKE '%Downey%Robert%' AND k.keyword = 'marvel-cinematic-universe' AND n.id = ci.person_id AND ci.movie_id = mk.movie_id AND t.production_year > 2010 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id LIMIT 100; | 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 t.production_year > 1990 AND t.id = mk.movie_id AND cn.country_code = '[jp]' AND mc.note LIKE '%(Japan)%' AND ci.role_id = rt.id AND mc.note NOT LIKE '%(USA)%' AND t.id = mc.movie_id AND rt.role = 'actress' AND n.gender = 'f' AND ci.movie_id = mc.movie_id AND n.id = ci.person_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND ci.person_id = an.person_id AND t.id = ci.movie_id AND mk.movie_id = ci.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND an.person_id = n.id AND k.keyword = 'anime' | job |
SELECT SUM(l_extendedprice * l_discount) AS revenue FROM lineitem WHERE l_discount BETWEEN 1 - 0.01 AND 1 + 0.01 AND l_quantity < 1 AND l_shipdate < DATE 1 + INTERVAL '1' YEAR AND l_shipdate >= DATE 1 LIMIT 20; | tpch |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE chn.id = ci.person_role_id AND ct.id = mc.company_type_id AND rt.role = 'actor' AND t.id = ci.movie_id AND ci.note LIKE '%(uncredited)%' AND ci.note LIKE '%(voice)%' AND t.id = mc.movie_id AND t.production_year > 2005 AND cn.country_code = '[ru]' AND ci.movie_id = mc.movie_id AND rt.id = ci.role_id AND cn.id = mc.company_id | job |
SELECT a.ca_state AS state, COUNT(*) AS cnt FROM customer_address AS a JOIN customer AS c ON a.ca_address_sk = c.c_current_addr_sk JOIN store_sales AS s ON c.c_customer_sk = s.ss_customer_sk JOIN date_dim AS d ON s.ss_sold_date_sk = d.d_date_sk JOIN item AS i ON s.ss_item_sk = i.i_item_sk WHERE d.d_month_seq = ( SELECT DISTINCT d_month_seq FROM date_dim WHERE d_year = 2001 AND d_moy = 5 ) AND i.i_current_price > 1.2 * ( SELECT AVG(j.i_current_price) FROM item AS j WHERE j.i_category = i.i_category ) GROUP BY a.ca_state HAVING COUNT(*) >= 10 ORDER BY cnt, state LIMIT 200; | 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 mc.movie_id = t.id AND mi.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND miidx.movie_id = mc.movie_id AND mi.movie_id = t.id AND ct.kind = 'production companies' AND it.id = miidx.info_type_id AND cn.id = mc.company_id AND it2.info = 'release dates' AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND mi.movie_id = miidx.movie_id AND kt.id = t.kind_id AND cn.country_code = '[de]' AND kt.kind = 'movie' AND it.info = 'rating' | job |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE chn.id = ci.person_role_id AND cn.id = mc.company_id AND t.production_year > 2005 AND cn.country_code = '[ru]' AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND rt.id = ci.role_id AND ci.note LIKE '%(voice)%' AND ci.note LIKE '%(uncredited)%' AND rt.role = 'actor' AND ct.id = mc.company_type_id AND t.id = ci.movie_id | job |
SELECT COUNT(1) FROM comments AS c, posts AS p, users AS u WHERE p.CommentCount >= 0 AND c.UserId = u.Id AND u.Id = p.OwnerUserId AND p.ViewCount >= 0 AND p.FavoriteCount >= 0 AND c.CreationDate >= '2010-08-05 00:36:02'::timestamp | stats |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND n_regionkey = r_regionkey AND s_nationkey = n_nationkey AND p_partkey = ps_partkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
WITH _q AS ( SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.production_year > 2005 AND k.keyword LIKE '%sequel%' AND k.id = mk.keyword_id ) SELECT * FROM _q AND mk.movie_id = mi.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND t.id = mi.movie_id AND t.id = mk.movie_id | job |
SELECT AVG(ss_quantity), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost), AVG(ss_ext_sales_price) FROM store_sales INNER JOIN store ON s_store_sk = ss_store_sk INNER JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk INNER JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk INNER JOIN customer_address ON ca_address_sk = ss_addr_sk INNER JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE d_year = 2001 AND ca_state IN ('TX', 'GA', 'FL') AND s_market_id = 8 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 ( (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_country = 'United States' | tpcds |
select COUNT(1) from postHistory as ph, users as u where ph.UserId = u.Id and ph.PostHistoryTypeId = 2 LIMIT 200; | stats |
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', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.production_year > 2010 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = mi.movie_id AND k.keyword LIKE '%sequel%' AND mk.movie_id = mi.movie_id LIMIT 200; | job |
SELECT o_orderkey, SUM(l_quantity), c_custkey, o_totalprice, c_name, o_orderdate FROM customer, orders, lineitem WHERE o_orderkey IN ( SELECT l_orderkey FROM lineitem GROUP BY l_orderkey HAVING SUM(l_quantity) > 1 ) AND c_custkey = o_custkey AND o_orderkey = l_orderkey GROUP BY c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice ORDER BY o_totalprice ASC, o_orderdate; | 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 = mc.movie_id AND it.id = mi_idx.info_type_id AND (mc.note Like '%(co-production)%' Or mc.note Like '%(presents)%') AND it.info = 'top 250 rank' AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND mc.note Not Like '%(As Metro-Goldwyn-Mayer Pictures)%' | 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.name LIKE '%Yo%' AND ci.role_id = rt.id AND n1.name NOT LIKE '%Yu%' AND cn.country_code = '[jp]' AND t.id = mc.movie_id AND ci.movie_id = t.id AND rt.role = 'actress' AND an1.person_id = n1.id AND mc.note NOT LIKE '%(USA)%' AND ci.movie_id = mc.movie_id AND ci.note = '(voice: English version)' AND mc.note LIKE '%(Japan)%' AND an1.person_id = ci.person_id AND n1.id = ci.person_id AND mc.company_id = cn.id | job |
WITH _q AS ( 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 mc.note Like '%(Japan)%' AND ci.role_id = rt.id AND mc.company_id = cn.id ) SELECT * FROM _q AND n1.id = ci.person_id AND ci.note = '(voice: English version)' AND mc.note Not Like '%(USA)%' AND rt.role = 'actress' 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 n1.name Not Like '%Yu%' AND an1.person_id = n1.id AND ci.movie_id = t.id | job |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE rt.role = 'actor' AND chn.id = ci.person_role_id AND ci.movie_id = mc.movie_id AND t.id = ci.movie_id AND cn.country_code = '[ru]' AND cn.id = mc.company_id AND t.id = mc.movie_id AND ci.note LIKE '%(uncredited)%' AND t.production_year > 2005 AND rt.id = ci.role_id AND ct.id = mc.company_type_id AND ci.note LIKE '%(voice)%' | job |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') AND d_dom >= 1 AND d_dom <= 2 AND hd_vehicle_count > 0 AND d_year IN (2001, 2001, 2001) 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; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE it.info = 'bottom 10 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi.info_type_id AND ct.kind = 'production companies' AND mc.movie_id = mi.movie_id AND t.id = mi.movie_id AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id | job |
SELECT c_first_name, c_last_name, cnt, ss_ticket_number, c_salutation, c_preferred_cust_flag 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 BETWEEN 1 AND 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 DESC LIMIT 100; | tpcds |
SELECT AVG(l_extendedprice) AS avg_price, l_linestatus, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice) AS sum_base_price, SUM(l_quantity) AS sum_qty, l_returnflag, COUNT(*) AS count_order, AVG(l_discount) AS avg_disc, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge 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(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[jp]' AND t.production_year > 1990 AND n.id = ci.person_id AND ci.note LIKE '%(voice: English version)%' AND an.person_id = n.id AND t.id = mk.movie_id AND k.keyword = 'anime' AND mk.movie_id = mc.movie_id AND ci.role_id = rt.id AND ci.person_id = an.person_id AND mc.note NOT LIKE '%(USA)%' AND n.gender = 'f' AND k.id = mk.keyword_id AND mc.note LIKE '%(Japan)%' AND rt.role = 'actress' AND cn.id = mc.company_id AND mk.movie_id = ci.movie_id AND ct.id = mc.company_type_id AND t.id = ci.movie_id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id | job |
WITH year_total AS ( SELECT 's' AS sale_type, d_year AS dyear, c_customer_id AS customer_id, c_first_name AS customer_first_name, c_email_address AS customer_email_address, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_preferred_cust_flag AS customer_preferred_cust_flag, c_birth_country AS customer_birth_country, c_last_name AS customer_last_name, c_login AS customer_login FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
SELECT MIN(t.title) AS 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.id = mc.company_id AND mk.keyword_id = k.id AND cn.country_code ='[de]' AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND k.keyword ='character-name-in-title' | job |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE chn.id = ci.person_role_id AND ci.movie_id = mc.movie_id AND t.production_year > 2000 AND t.id = mc.movie_id AND it.id = mi.info_type_id AND rt.role = 'actress' AND n.id = ci.person_id AND mi.movie_id = mc.movie_id AND n.gender = 'f' AND ci.role_id = rt.id AND an.person_id = n.id AND ci.person_id = an.person_id AND cn.id = mc.company_id AND mc.note LIKE '%(USA)%' AND t.id = ci.movie_id AND it.info = 'release dates' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND cn.country_code = '[us]' AND mi.movie_id = ci.movie_id AND t.id = mi.movie_id | job |
SELECT ss_ticket_number, c_first_name, c_last_name, cnt, c_salutation, c_preferred_cust_flag FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.37 AND d_year IN (2001, 2002, 2003) AND s_county IN ('Bronz County', 'Barrow County', 'Jackson County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt ASC LIMIT 100; | tpcds |
SELECT COUNT(1) FROM comments AS c, posts AS p, users AS u WHERE u.Id = p.OwnerUserId AND p.FavoriteCount >= 0 AND p.CommentCount >= 0 AND c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND p.ViewCount >= 0 AND c.UserId = u.Id | stats |
Select i_brand_id As brand_id, i_brand As brand, i_manufact_id, i_manufact, Sum(ss_ext_sales_price) As ext_price From date_dim Inner Join store_sales On d_date_sk = ss_sold_date_sk Inner Join item On ss_item_sk = i_item_sk Inner Join customer On ss_customer_sk = c_customer_sk Inner Join customer_address On c_current_addr_sk = ca_address_sk Inner Join store On ss_store_sk = s_store_sk Where d_year = 1999 And d_moy = 12 And i_manager_id = 47 And substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) Group By i_brand, i_brand_id, i_manufact_id, i_manufact Order By ext_price Desc, brand, brand_id, i_manufact_id, i_manufact; | tpcds |
SELECT COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_size, p_type, p_brand FROM partsupp, part WHERE p_partkey = ps_partkey AND p_brand <> 1 AND p_type NOT LIKE 1 AND p_size = ANY(ARRAY[1, 1, 1, 1, 1, 1, 1, 1]) AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt ASC, p_brand, p_type, p_size | 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 mk.movie_id = ci.movie_id AND t.id = ci.movie_id AND cn.country_code = '[jp]' AND an.person_id = n.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND t.id = mk.movie_id AND cn.id = mc.company_id AND ci.role_id = rt.id AND k.keyword = 'anime' AND t.production_year > 1990 AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND ci.note LIKE '%(voice: English version)%' AND ci.person_id = an.person_id AND mc.note NOT LIKE '%(USA)%' AND n.gender = 'f' AND n.id = ci.person_id | job |
select sum(ss_ext_sales_price) as ext_price, i_manufact_id, i_manufact, i_brand_id as brand_id, i_brand as brand from date_dim join store_sales on d_date_sk = ss_sold_date_sk join item on ss_item_sk = i_item_sk join customer on ss_customer_sk = c_customer_sk join customer_address on c_current_addr_sk = ca_address_sk join store on ss_store_sk = s_store_sk where d_moy = 12 and d_year = 1999 and i_manager_id = 3 and substr(ca_zip, 1, 5) != substr(s_zip, 1, 5) group by i_brand, i_brand_id, i_manufact_id, i_manufact order by ext_price desc, brand, brand_id, i_manufact_id, i_manufact limit 100; | tpcds |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND t.id = mi.movie_id AND mc.movie_id = mi.movie_id AND ct.kind = 'production companies' AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'bottom 10 rank' AND it.id = mi.info_type_id LIMIT 20; | job |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.