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SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_brand <> 1 AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_partkey = ps_partkey AND p_type NOT LIKE 1 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt ASC, p_brand, p_type, p_size | tpch |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = t.id AND cn.country_code ='[sm]' AND k.keyword ='character-name-in-title' AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mk.movie_id AND cn.id = mc.company_id LIMIT 50; | job |
SELECT c_last_name, ss_ticket_number, c_preferred_cust_flag, c_first_name, c_salutation, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_dom BETWEEN 1 AND 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND d_year IN (2001, 2000, 2003) AND s_county IN ('Franklin County', 'Jefferson County', 'Oglethorpe County', 'Maricopa County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
Select 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 mk.movie_id = mi.movie_id AND mi.info In ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mi.movie_id AND k.keyword Like '%sequel%' AND t.production_year > 2010 AND k.id = mk.keyword_id | job |
Select Min(mi_idx.info) As rating, Min(cn.name) As movie_company, Min(t.title) As western_violent_movie From company_name As cn, company_type As ct, info_type As it1, info_type As it2, keyword As k, kind_type As kt, movie_companies As mc, movie_info As mi, movie_info_idx As mi_idx, movie_keyword As mk, title As t Where cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND cn.country_code != '[us]' AND it1.info = 'countries' AND kt.id = t.kind_id AND mc.note Not Like '%(USA)%' AND k.id = mk.keyword_id AND t.production_year > 2008 AND mk.movie_id = mi_idx.movie_id AND it2.id = mi_idx.info_type_id AND mi.info In ('Germany', 'German', 'USA', 'American') AND it1.id = mi.info_type_id AND k.keyword In ('murder', 'murder-In-title', 'blood', 'violence') AND mc.movie_id = mi_idx.movie_id AND it2.info = 'rating' AND mc.note Like '%(200%)%' AND kt.kind In ('movie', 'episode') AND mi_idx.info < '7.0' AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND ct.id = mc.company_type_id | job |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE mk.movie_id = mc.movie_id AND t.id = mi.movie_id AND cn.country_code != '[us]' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND kt.id = t.kind_id AND mi.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND kt.kind IN ('movie', 'episode') AND mc.note NOT LIKE '%(USA)%' AND it1.id = mi.info_type_id AND ct.id = mc.company_type_id AND mk.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND it1.info = 'countries' AND mk.movie_id = mi.movie_id AND it2.info = 'rating' AND it2.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND mc.note LIKE '%(200%)%' AND mi_idx.info < '7.0' AND t.production_year > 2008 | job |
SELECT MIN(t.title) AS western_violent_movie, MIN(mi_idx.info) AS rating, 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 mc.note LIKE '%(200%)%' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND ct.id = mc.company_type_id AND kt.kind IN ('movie', 'episode') AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND t.production_year > 2008 AND it2.id = mi_idx.info_type_id AND kt.id = t.kind_id AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND mk.movie_id = mi.movie_id AND mi_idx.info < '7.0' AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND it2.info = 'rating' AND it1.id = mi.info_type_id AND cn.country_code != '[us]' AND mc.movie_id = mi_idx.movie_id AND mk.movie_id = mi_idx.movie_id AND it1.info = 'countries' | 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 mk.keyword_id = k.id AND mc.company_id = cn.id AND ci.movie_id = t.id AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND an.person_id = ci.person_id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND n.id = ci.person_id AND t.episode_nr >= 50 AND t.episode_nr < 100 AND k.keyword = 'character-name-in-title' AND an.person_id = n.id | job |
SELECT i_item_desc, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, i_item_id, COUNT(sr_return_quantity) AS store_returns_quantitycount, COUNT(cs_quantity) AS catalog_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, AVG(ss_quantity) AS store_sales_quantityave, AVG(cs_quantity) AS catalog_sales_quantityave, COUNT(ss_quantity) AS store_sales_quantitycount, s_state 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 = '1999Q1' AND d2.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') AND d3.d_quarter_name IN ('1999Q1', '2002Q2', '1999Q4') 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(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE kt.id = t.kind_id AND kt.kind = 'movie' AND cn.id = mc.company_id AND it.id = miidx.info_type_id AND it2.info = 'release dates' AND cn.country_code = '[de]' AND it2.id = mi.info_type_id AND mi.movie_id = miidx.movie_id AND ct.id = mc.company_type_id AND it.info = 'rating' AND miidx.movie_id = t.id AND mi.movie_id = mc.movie_id AND mc.movie_id = t.id AND mi.movie_id = t.id AND ct.kind = 'production companies' AND miidx.movie_id = mc.movie_id | job |
select sum(l_extendedprice * (1 - l_discount)) as revenue, n_name from customer, orders, lineitem, supplier, nation, region where c_custkey = o_custkey and l_orderkey = o_orderkey and l_suppkey = s_suppkey and c_nationkey = s_nationkey and s_nationkey = n_nationkey and n_regionkey = r_regionkey and r_name = 1 and o_orderdate >= DATE 1 and o_orderdate < DATE 1 + INTERVAL '1' YEAR group by n_name order by revenue desc limit 1000; | tpch |
WITH _q AS ( SELECT i_item_id, i_item_desc, i_current_price FROM item JOIN inventory ON i_item_sk = inv_item_sk JOIN date_dim ON d_date_sk = inv_date_sk JOIN store_sales ON ss_item_sk = i_item_sk WHERE i_current_price BETWEEN 73 AND 73 + 30 AND inv_quantity_on_hand BETWEEN 100 AND 500 AND d_date BETWEEN CAST('1998-01-15' AS DATE) AND (CAST('1998-01-15' AS DATE) + INTERVAL '60 days') AND i_manufact_id IN (494, 188, 70, 301) GROUP BY i_item_id, i_item_desc, i_current_price ORDER BY i_item_id LIMIT 100 ) SELECT * FROM _q; | tpcds |
select count(*) from comments as c, posts as p, votes as v, users as u where p.ViewCount >= 0 AND p.Score >= 0 AND u.Id = p.OwnerUserId AND u.Id = c.UserId AND u.Id = v.UserId AND c.Score = 0 limit 10; | stats |
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 v.VoteTypeId = 2 AND p.Id = c.PostId AND c.PostId = pl.PostId AND pl.PostId = v.PostId AND p.Score >= -3 LIMIT 100; | stats |
SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_type NOT LIKE 1 AND p_brand != 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_partkey = ps_partkey 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 DESC, 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 cn.country_code = '[jp]' AND t.id = mk.movie_id AND ci.movie_id = mc.movie_id AND mk.movie_id = ci.movie_id AND t.id = mc.movie_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND ci.role_id = rt.id AND mc.note NOT LIKE '%(USA)%' AND n.gender = 'f' AND n.id = ci.person_id AND mc.note LIKE '%(Japan)%' AND t.production_year > 1990 AND ci.note LIKE '%(voice: English version)%' AND k.keyword = 'anime' AND k.id = mk.keyword_id AND rt.role = 'actress' AND ci.person_id = an.person_id AND mk.movie_id = mc.movie_id AND t.id = ci.movie_id AND an.person_id = n.id | job |
Select Count(*) From store_sales INNER JOIN household_demographics On ss_hdemo_sk = hd_demo_sk INNER JOIN time_dim On ss_sold_time_sk = t_time_sk INNER JOIN store On ss_store_sk = s_store_sk Where s_store_name = 'pri' And t_hour = 14 And t_minute >= 30 And hd_dep_count = 4 Order By Count(*) Desc Limit 100; | tpcds |
Select MAX(mi_idx.info) As rating, MAX(t.title) As movie_title From info_type As it, movie_info_idx As mi_idx, title As t Where mi_idx.info > '7.0' AND t.production_year BETWEEN 2000 AND 2010 AND it.id = mi_idx.info_type_id AND it.info ='rating' AND t.id = mi_idx.movie_id | job |
Select Sum(l_extendedprice * (1 - l_discount)) As sum_disc_price, Count(*) As count_order, Avg(l_extendedprice) As avg_price, Avg(l_quantity) As avg_qty, Sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) As sum_charge, Avg(l_discount) As avg_disc, l_linestatus, Sum(l_quantity) As sum_qty, Sum(l_extendedprice) As sum_base_price, l_returnflag From lineitem Where l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY Group By l_returnflag, l_linestatus Order By l_returnflag, l_linestatus | tpch |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE mk.movie_id = mi.movie_id AND t.production_year > 2010 AND k.id = mk.keyword_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mi.movie_id AND t.id = mk.movie_id AND k.keyword LIKE '%sequel%' LIMIT 10; | 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_name LIKE 1 ) AS profit AND ps_partkey = l_partkey AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND ps_suppkey = l_suppkey AND o_orderkey = l_orderkey AND s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND it.id = mi_idx.info_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id AND it.info = 'top 250 rank' AND ct.kind = 'production companies' AND t.id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' | 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 (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND s_county = ANY(ARRAY['Bronz County', 'Daviess County', 'Maricopa County']) AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.79 AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND d_year IN (2000, 2002, 2003) GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
SELECT MAX(t.title) AS marvel_movie, MAX(k.keyword) AS movie_keyword, MAX(n.name) AS actor_name 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.id = mk.keyword_id AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND n.id = ci.person_id AND t.production_year > 2010 | 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, 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, i_item_id from catalog_sales left INNER JOIN catalog_returns on cs_order_number = cr_order_number and cs_item_sk = cr_item_sk INNER JOIN warehouse on cs_warehouse_sk = w_warehouse_sk INNER JOIN item on i_item_sk = cs_item_sk INNER JOIN date_dim on cs_sold_date_sk = d_date_sk where i_current_price between 68.67 and 68.67 + 1.49 and d_date between (CAST('2000-03-11' as DATE) - INTERVAL '30 days') and (CAST('2000-03-11' as DATE) + INTERVAL '30 days') group by w_state, i_item_id order by w_state, i_item_id limit 100; | tpcds |
SELECT p_size, p_type, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_brand FROM partsupp, part WHERE p_partkey = ps_partkey AND p_brand <> 1 AND p_type NOT LIKE 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size LIMIT 1000; | tpch |
SELECT AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) 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 = 2002 AND s_market_id = 8 AND ca_country = 'United States' AND ( (cd_marital_status = 'M' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 89 AND 113) OR (cd_marital_status = 'M' AND cd_education_status = 'Secondary' AND ss_sales_price BETWEEN 53 AND 128) OR (cd_marital_status = 'D' AND cd_education_status = 'Advanced Degree' AND ss_sales_price BETWEEN 110 AND 166) ) AND ( (hd_dep_count = 1 AND hd_vehicle_count <= 4) OR (hd_dep_count = 3 AND hd_vehicle_count <= 4) OR (hd_dep_count = 6 AND hd_vehicle_count <= 3) ) AND ca_state IN ('TX', 'WA', 'FL') | tpcds |
SELECT AVG(l_extendedprice) AS avg_price, AVG(l_discount) AS avg_disc, SUM(l_quantity) AS sum_qty, l_linestatus, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_returnflag, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice) AS sum_base_price, COUNT(*) AS count_order 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 SUM(volume) AS revenue, supp_nation, cust_nation, l_year FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE s_suppkey = l_suppkey AND o_orderkey = l_orderkey AND c_custkey = o_custkey AND s_nationkey = n1.n_nationkey AND c_nationkey = n2.n_nationkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year LIMIT 50; | tpch |
WITH customer_total_return AS ( SELECT SUM(sr_return_amt) AS ctr_total_return, sr_customer_sk AS ctr_customer_sk, sr_store_sk AS ctr_store_sk FROM store_returns INNER JOIN date_dim ON sr_returned_date_sk = d_date_sk WHERE d_year = 2002 GROUP BY sr_customer_sk, sr_store_sk ) SELECT c_customer_id FROM customer_total_return AS ctr1 INNER JOIN store ON s_store_sk = ctr1.ctr_store_sk INNER JOIN customer ON c_customer_sk = ctr1.ctr_customer_sk WHERE ctr1.ctr_total_return > ( SELECT AVG(ctr_total_return) * 1.2 FROM customer_total_return AS ctr2 WHERE ctr1.ctr_store_sk = ctr2.ctr_store_sk ) AND s_state = 'TX' ORDER BY c_customer_id; | 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 mc.note LIKE '%(USA)%' AND cn.country_code = '[us]' AND rt.role = 'actress' AND ci.person_id = an.person_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND t.production_year > 2000 AND t.id = mi.movie_id AND it.info = 'release dates' AND ci.movie_id = mc.movie_id AND t.id = ci.movie_id AND chn.id = ci.person_role_id AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND mi.movie_id = ci.movie_id AND ci.role_id = rt.id AND n.gender = 'f' AND an.person_id = n.id AND t.id = mc.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') | job |
SELECT COUNT(1) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b WHERE p.Id = ph.PostId AND p.Id = pl.RelatedPostId AND b.UserId = c.UserId AND c.Score = 0 AND p.Id = c.PostId AND pl.LinkTypeId = 1 AND p.Id = v.PostId | stats |
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 l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_nationkey = n1.n_nationkey AND c_custkey = o_custkey AND s_suppkey = l_suppkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND c_nationkey = n2.n_nationkey AND o_orderkey = l_orderkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
Select Sum(l_quantity) As sum_qty, Avg(l_extendedprice) As avg_price, l_linestatus, Count(1) As count_order, l_returnflag, Avg(l_quantity) As avg_qty, Sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) As sum_charge, Sum(l_extendedprice) As sum_base_price, Avg(l_discount) As avg_disc, Sum(l_extendedprice * (1 - l_discount)) As sum_disc_price From lineitem Where l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY Group By l_returnflag, l_linestatus Order By l_returnflag, l_linestatus | tpch |
SELECT i_item_id, i_item_desc, i_current_price FROM item JOIN inventory ON i_item_sk = inv_item_sk JOIN date_dim ON d_date_sk = inv_date_sk JOIN store_sales ON ss_item_sk = i_item_sk WHERE d_date BETWEEN CAST('2002-01-23' AS DATE) AND (CAST('2002-01-23' AS DATE) + INTERVAL '60 days') AND i_manufact_id = ANY(ARRAY[438, 38, 405, 276]) AND inv_quantity_on_hand >= 100 AND inv_quantity_on_hand <= 500 AND i_current_price >= 91 AND i_current_price <= 91 + 30 GROUP BY i_item_id, i_item_desc, i_current_price ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT cc_call_center_id AS call_center, cc_name AS call_center_name, cc_manager AS manager, 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 = 12 AND d_year = 2001 AND ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree') OR (hd_buy_potential LIKE '1001-5000%' AND ca_gmt_offset = -5) ) AND ca_gmt_offset = -5 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 cc_name AS call_center_name, cc_manager AS manager, cc_call_center_id AS call_center, 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_year = 1999 AND ca_gmt_offset = -7 AND d_moy = 11 AND ( (cd_marital_status = 'M' AND cd_education_status = '4 yr Degree') OR (hd_buy_potential LIKE '1001-5000%' AND ca_gmt_offset = -7) ) 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(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE ml.movie_id = mc.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mi.note LIKE '%internet%' AND mk.movie_id = mc.movie_id AND k.id = mk.keyword_id AND mi.movie_id = t.id AND it.id = mi.info_type_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mi.movie_id AND t.production_year > 1950 AND cn.country_code = '[us]' AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND lt.id = ml.link_type_id AND t.id = ml.movie_id AND t.id = mk.movie_id AND it.info = 'release dates' AND mc.note LIKE '%(USA)%' AND mi.info LIKE 'USA:% 199%' AND lt.link LIKE '%follow%' AND ct.id = mc.company_type_id AND cn.id = mc.company_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_shipmode IN (1, 1) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_commitdate < l_receiptdate AND l_receiptdate >= DATE 1 AND l_shipdate < l_commitdate AND o_orderkey = l_orderkey GROUP BY l_shipmode ORDER BY l_shipmode 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 it2.info = 'release dates' AND t.id = mc.movie_id AND mi_idx.movie_id = mc.movie_id AND kt.kind = 'movie' AND it1.info = 'rating' AND kt.id = t.kind_id AND at.movie_id = mi_idx.movie_id AND t.id = at.movie_id AND at.movie_id = mi.movie_id AND t.id = mi_idx.movie_id AND cn.id = mc.company_id AND mi.movie_id = mi_idx.movie_id AND mi_idx.info < '3.5' AND mi.movie_id = mc.movie_id AND cn.country_code = '[us]' AND mi.info LIKE 'USA:%200%' AND it1.id = mi_idx.info_type_id AND at.movie_id = mc.movie_id AND t.production_year > 2000 AND it2.id = mi.info_type_id AND at.title LIKE '%Champion%' AND t.id = mi.movie_id | job |
WITH _q AS ( 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 ct.id = mc.company_type_id AND kt.kind = 'movie' AND it2.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND it2.info = 'release dates' AND cn.country_code = '[de]' AND ct.kind = 'production companies' AND mi.movie_id = miidx.movie_id AND kt.id = t.kind_id AND miidx.movie_id = mc.movie_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND it.info = 'rating' AND mc.movie_id = t.id AND mi.movie_id = t.id ) SELECT * FROM _q; | job |
With _q As ( 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_shipdate > DATE 1 And c_mktsegment = 1 And l_orderkey = o_orderkey Group By l_orderkey, o_orderdate, o_shippriority Order By revenue Desc, o_orderdate Limit 10 ) Select * From _q; | tpch |
SELECT MIN(t.title) AS german_movie, MIN(miidx.info) AS rating, MIN(mi.info) AS release_date FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE it2.info = 'release dates' AND kt.kind = 'movie' AND mc.movie_id = t.id AND it2.id = mi.info_type_id AND it.info = 'rating' AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND mi.movie_id = t.id AND miidx.movie_id = mc.movie_id AND kt.id = t.kind_id AND it.id = miidx.info_type_id AND miidx.movie_id = t.id AND ct.kind = 'production companies' AND cn.country_code = '[de]' AND mi.movie_id = miidx.movie_id | job |
WITH _q AS ( SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, movie_info_idx AS mi_idx, title AS t WHERE it.info ='rating' AND mi_idx.info > '7.0' AND t.production_year BETWEEN 2000 AND 2010 AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id LIMIT 20 ) SELECT * FROM _q; | job |
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 d1.d_moy = 3 AND d1.d_year = 2001 AND d3.d_moy >= 3 AND d3.d_moy <= 3 + 3 AND d2.d_year = 2001 AND d3.d_year = 2001 AND d2.d_moy BETWEEN 3 AND 3 + 3 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT MIN(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 chn.id = ci.person_role_id AND rt.role = 'actor' AND ci.note LIKE '%(voice)%' AND t.production_year > 2005 AND cn.id = mc.company_id AND rt.id = ci.role_id AND t.id = mc.movie_id AND ci.note LIKE '%(uncredited)%' AND ct.id = mc.company_type_id AND cn.country_code = '[ru]' AND ci.movie_id = mc.movie_id | job |
SELECT i_item_id, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, COUNT(cs_quantity) AS catalog_sales_quantitycount, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, i_item_desc, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, s_state, AVG(cs_quantity) AS catalog_sales_quantityave, COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d3.d_quarter_name IN ('1999Q2', '2002Q2', '1999Q3') AND d2.d_quarter_name = ANY(ARRAY['1999Q2', '2002Q2', '1999Q3']) AND d1.d_quarter_name = '1999Q2' GROUP BY i_item_id, i_item_desc, s_state ORDER BY i_item_id, i_item_desc, s_state LIMIT 100; | tpcds |
Select COUNT(1) As custdist, c_count From ( Select c_custkey, Count(o_orderkey) As c_count From customer LEFT INNER JOIN orders On c_custkey = o_custkey And o_comment Not Like 1 Group By c_custkey ) As c_orders Group By c_count Order By custdist ASC, c_count ASC | tpch |
SELECT COUNT(ss_quantity) AS store_sales_quantitycount, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, AVG(sr_return_quantity) AS store_returns_quantityave, i_item_id, i_item_desc, AVG(cs_quantity) AS catalog_sales_quantityave, s_state, COUNT(sr_return_quantity) AS store_returns_quantitycount, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_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 ('2001Q1', '2002Q2', '1999Q4') AND d2.d_quarter_name IN ('2001Q1', '2002Q2', '1999Q4') AND d1.d_quarter_name = '2001Q1' 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.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 = mc.movie_id AND ct.id = mc.company_type_id AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND it.info = 'top 250 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' | job |
SELECT MAX(k.keyword) AS movie_keyword, MAX(n.name) AS actor_name, MAX(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.production_year > 2010 AND n.name LIKE '%Downey%Robert%' AND k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.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 t.production_year > 2010 AND n.id = ci.person_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND t.id = ci.movie_id AND n.name LIKE '%Downey%Robert%' AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id | job |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE t.id = mc.movie_id AND mk.keyword_id = k.id AND an.person_id = n.id AND t.episode_nr < 100 AND cn.country_code = '[us]' AND n.id = ci.person_id AND t.episode_nr >= 50 AND k.keyword = 'character-name-in-title' AND t.id = mk.movie_id AND mc.company_id = cn.id AND ci.movie_id = t.id AND an.person_id = ci.person_id AND mc.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_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 l1.l_receiptdate > l1.l_commitdate AND n_name = 1 AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND o_orderkey = l1.l_orderkey AND s_nationkey = n_nationkey AND s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT MIN(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 ci.movie_id = mc.movie_id AND t.id = ci.movie_id AND rt.id = ci.role_id AND ci.note LIKE '%(voice)%' AND t.id = mc.movie_id AND rt.role = 'actor' AND ci.note LIKE '%(uncredited)%' AND ct.id = mc.company_type_id | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE l1.l_receiptdate > l1.l_commitdate AND o_orderstatus = 'F' AND o_orderkey = l1.l_orderkey AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND s_nationkey = n_nationkey AND s_suppkey = l1.l_suppkey AND n_name = 1 AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | 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 NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND it.info = 'top 250 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id | job |
select max(cn.name) as movie_company, max(mi_idx.info) as rating, max(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 mk.movie_id = mi_idx.movie_id AND it1.id = mi.info_type_id AND mi.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND mi_idx.info < '7.0' AND mc.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND kt.id = t.kind_id AND t.id = mk.movie_id AND k.keyword in ('murder', 'murder-in-title', 'blood', 'violence') AND mc.note not like '%(USA)%' AND it2.info = 'rating' AND t.production_year > 2008 AND it1.info = 'countries' AND it2.id = mi_idx.info_type_id AND kt.kind in ('movie', 'episode') AND mk.movie_id = mc.movie_id AND cn.country_code != '[us]' AND t.id = mi_idx.movie_id AND mc.note like '%(200%)%' AND t.id = mc.movie_id AND k.id = mk.keyword_id AND cn.id = mc.company_id AND mk.movie_id = mi.movie_id AND mi.info in ('Germany', 'German', 'USA', 'American') AND mi.movie_id = mi_idx.movie_id LIMIT 200; | job |
SELECT SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count, l_shipmode, 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_commitdate < l_receiptdate AND o_orderkey = l_orderkey AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_receiptdate >= DATE 1 AND l_shipdate < l_commitdate AND l_shipmode IN (1, 1) GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT SUM(l_quantity), o_totalprice, c_custkey, o_orderkey, o_orderdate, c_name FROM customer, orders, lineitem WHERE o_orderkey IN ( SELECT l_orderkey FROM lineitem GROUP BY l_orderkey HAVING SUM(l_quantity) > 1 ) AND c_custkey = o_custkey AND o_orderkey = l_orderkey GROUP BY c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice ORDER BY o_totalprice ASC, o_orderdate LIMIT 100 | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE o_orderdate < DATE 1 + INTERVAL '1' YEAR AND l_suppkey = s_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND o_orderdate >= DATE 1 AND c_custkey = o_custkey AND c_nationkey = s_nationkey AND l_orderkey = o_orderkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE 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 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 l1.l_receiptdate > l1.l_commitdate AND s_nationkey = n_nationkey AND o_orderstatus = 'F' GROUP BY s_name ORDER BY numwait DESC, s_name; | tpch |
SELECT p_mfgr, p_partkey, s_name, s_address, s_comment, s_acctbal, s_phone, 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 |
SELECT STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, i_item_id, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(cs_quantity) AS catalog_sales_quantityave, AVG(ss_quantity) AS store_sales_quantityave, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, s_state, AVG(sr_return_quantity) AS store_returns_quantityave, COUNT(sr_return_quantity) AS store_returns_quantitycount, i_item_desc, COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_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 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(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE mk.movie_id = ci.movie_id AND cn.id = mc.company_id AND ci.note LIKE '%(voice: English version)%' AND mc.note LIKE '%(Japan)%' AND t.id = mk.movie_id AND n.gender = 'f' AND ci.role_id = rt.id AND ci.person_id = an.person_id AND rt.role = 'actress' AND t.id = mc.movie_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND ci.movie_id = mc.movie_id AND an.person_id = n.id AND k.keyword = 'anime' AND t.id = ci.movie_id AND cn.country_code = '[jp]' AND ct.id = mc.company_type_id AND mk.movie_id = mc.movie_id AND t.production_year > 1990 AND mc.note NOT LIKE '%(USA)%' | 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 l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND o_orderkey = l_orderkey AND s_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND c_custkey = o_custkey AND c_nationkey = n2.n_nationkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where k.keyword like '%sequel%' and mk.movie_id = mi.movie_id and t.production_year > 2010 and t.id = mi.movie_id and k.id = mk.keyword_id and t.id = mk.movie_id and mi.info in ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') | job |
SELECT COUNT(1) FROM comments AS c, postHistory AS ph, votes AS v, users AS u WHERE u.Id = v.UserId AND ph.UserId = c.UserId AND u.DownVotes >= 0 AND u.UpVotes <= 123 AND v.UserId = ph.UserId AND u.Views >= 0 | stats |
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 miidx.movie_id = t.id AND it2.info = 'release dates' AND cn.country_code = '[de]' AND mi.movie_id = miidx.movie_id AND kt.id = t.kind_id AND ct.kind = 'production companies' AND miidx.movie_id = mc.movie_id AND it.info = 'rating' AND it.id = miidx.info_type_id AND mi.movie_id = mc.movie_id AND it2.id = mi.info_type_id AND kt.kind = 'movie' AND cn.id = mc.company_id AND mi.movie_id = t.id AND ct.id = mc.company_type_id | job |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE mc.note LIKE '%(200%)%' AND mi_idx.info < '7.0' AND mi.movie_id = mc.movie_id AND t.id = mk.movie_id AND mc.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND cn.id = mc.company_id AND it2.id = mi_idx.info_type_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND cn.country_code != '[us]' AND ct.id = mc.company_type_id AND it1.info = 'countries' AND t.production_year > 2008 AND it1.id = mi.info_type_id AND it2.info = 'rating' AND kt.kind IN ('movie', 'episode') AND k.id = mk.keyword_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND t.id = mi_idx.movie_id AND mk.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND mk.movie_id = mc.movie_id AND kt.id = t.kind_id AND mk.movie_id = mi.movie_id AND mi.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(USA)%' | job |
SELECT ps_partkey, SUM(ps_supplycost * ps_availqty) AS VALUE FROM partsupp, supplier, nation WHERE s_nationkey = n_nationkey AND n_name = 1 AND ps_suppkey = s_suppkey GROUP BY ps_partkey HAVING SUM(ps_supplycost * ps_availqty) > ( SELECT SUM(ps_supplycost * ps_availqty) * 1 FROM partsupp, supplier, nation WHERE ps_suppkey = s_suppkey AND s_nationkey = n_nationkey AND n_name = 1 ) ORDER BY VALUE ASC | tpch |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.production_year > 2010 AND t.id = ci.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND n.id = ci.person_id AND t.id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' | job |
SELECT s_phone, s_address, s_name, total_revenue, s_suppkey FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) ORDER BY s_suppkey LIMIT 50; | tpch |
SELECT l_orderkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, o_shippriority FROM customer, orders, lineitem WHERE c_custkey = o_custkey AND l_orderkey = o_orderkey 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; | tpch |
SELECT c_acctbal, c_custkey, c_address, c_comment, n_name, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_phone 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 promotions, total, CAST(promotions As DECIMAL(15, 4)) / CAST(total As DECIMAL(15, 4)) * 100 From ( Select Sum(ss_ext_sales_price) As promotions From store_sales Join store On ss_store_sk = s_store_sk Join promotion On ss_promo_sk = p_promo_sk Join date_dim On ss_sold_date_sk = d_date_sk Join customer On ss_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join item On ss_item_sk = i_item_sk Where (p_channel_dmail = 'Y' Or p_channel_email = 'Y' Or p_channel_tv = 'Y') AND ca_gmt_offset = -7 AND d_year = 1998 AND s_gmt_offset = -7 AND i_category = 'Music' AND s_gmt_offset = -7 AND d_moy = 8 ) As promotional_sales, ( Select Sum(ss_ext_sales_price) As total From store_sales Join store On ss_store_sk = s_store_sk Join date_dim On ss_sold_date_sk = d_date_sk Join customer On ss_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join item On ss_item_sk = i_item_sk Where ca_gmt_offset = -7 AND i_category = 'Music' AND d_year = 1998 AND d_moy = 8 ) As all_sales Order By promotions, total 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 ='[de]' AND k.keyword ='character-name-In-title' AND t.id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND mk.keyword_id = k.id | job |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE p_size = 1 AND r_name = 1 AND s_suppkey = ps_suppkey AND p_type LIKE 1 AND p_partkey = ps_partkey AND n_regionkey = r_regionkey AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND s_nationkey = n_nationkey ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT p_size, p_brand, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_type FROM partsupp, part WHERE p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_brand <> 1 AND 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 GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND ct.id = mc.company_type_id AND it.info = 'bottom 10 rank' AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi.movie_id AND t.id = mc.movie_id AND it.id = mi.info_type_id AND mc.movie_id = mi.movie_id | job |
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