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SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.kind = 'production companies' | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code ='[nl]' AND cn.id = mc.company_id AND k.keyword ='character-name-IN-title' AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND mk.keyword_id = k.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 k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND n.id = ci.person_id AND n.name LIKE '%Downey%Robert%' | job |
Select Min(t.title) As movie_title From company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, title As t Where t.id = mk.movie_id AND k.keyword ='character-name-In-title' AND cn.country_code ='[de]' AND mk.keyword_id = k.id AND mc.movie_id = t.id AND mc.movie_id = mk.movie_id AND cn.id = mc.company_id | job |
SELECT COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_type, p_size, p_brand FROM partsupp, part WHERE p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_partkey = ps_partkey AND p_type NOT LIKE 1 AND p_brand <> 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 | tpch |
Select i_item_id, i_item_desc, i_category, i_class, i_current_price, Sum(ws_ext_sales_price) As itemrevenue, Sum(ws_ext_sales_price) * 100 / Sum(Sum(ws_ext_sales_price)) OVER (PARTITION By i_class) As revenueratio From web_sales INNER JOIN item On ws_item_sk = i_item_sk INNER JOIN date_dim On ws_sold_date_sk = d_date_sk Where d_date BETWEEN CAST('('1998-01-01', '1998-06-01', '1999-01-01', '1999-06-01', '2000-01-01', '2002-01-01')' As DATE) AND (CAST('('1998-01-01', '1998-06-01', '1999-01-01', '1999-06-01', '2000-01-01', '2002-01-01')' As DATE) + INTERVAL '30 days') AND i_category = ANY(ARRAY['Men', 'Music', 'Books']) Group By i_item_id, i_item_desc, i_category, i_class, i_current_price Order By i_category, i_class, i_item_id, i_item_desc, revenueratio Limit 100; | tpcds |
SELECT COUNT(cs_quantity) AS catalog_sales_quantitycount, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, i_item_id, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, i_item_desc, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, COUNT(sr_return_quantity) AS store_returns_quantitycount, AVG(ss_quantity) AS store_sales_quantityave, s_state, AVG(cs_quantity) AS catalog_sales_quantityave FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON d1.d_date_sk = ss_sold_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d1.d_quarter_name = '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(an.name) As cool_actor_pseudonym, Min(t.title) As series_named_after_char From aka_name As an, cast_info As ci, company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, name As n, title As t Where an.person_id = n.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mk.keyword_id = k.id AND mc.company_id = cn.id AND t.episode_nr < 100 AND an.person_id = ci.person_id AND n.id = ci.person_id AND mc.movie_id = mk.movie_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND k.keyword = 'character-name-In-title' AND t.episode_nr >= 50 AND t.id = mc.movie_id AND cn.country_code = '[us]' | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi_idx.movie_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND t.id = mc.movie_id AND it.id = mi_idx.info_type_id | job |
SELECT COUNT(*) FROM comments AS c, postHistory AS ph, votes AS v, users AS u WHERE u.DownVotes >= 0 AND u.Id = v.UserId AND u.Views >= 0 AND v.UserId = ph.UserId AND u.UpVotes <= 123 AND ph.UserId = c.UserId LIMIT 500; | stats |
select n_name, sum(l_extendedprice * (1 - l_discount)) as revenue from customer, orders, lineitem, supplier, nation, region where r_name = 1 and c_nationkey = s_nationkey and s_nationkey = n_nationkey and o_orderdate >= DATE 1 and l_orderkey = o_orderkey and l_suppkey = s_suppkey and o_orderdate < DATE 1 + INTERVAL '1' YEAR and n_regionkey = r_regionkey and c_custkey = o_custkey group by n_name order by revenue ASC | tpch |
WITH year_total AS ( SELECT c_birth_country AS customer_birth_country, c_customer_id AS customer_id, c_preferred_cust_flag AS customer_preferred_cust_flag, d_year AS dyear, c_email_address AS customer_email_address, 's' AS sale_type, c_login AS customer_login, 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, c_last_name AS customer_last_name FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE an.person_id = n.id AND mi.movie_id = mc.movie_id AND ci.role_id = rt.id AND it.id = mi.info_type_id AND it.info = 'release dates' AND n.gender = 'f' AND t.id = mi.movie_id AND n.id = ci.person_id AND t.id = mc.movie_id AND chn.id = ci.person_role_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.production_year > 2000 AND mi.movie_id = ci.movie_id AND rt.role = 'actress' AND cn.country_code = '[us]' AND t.id = ci.movie_id AND cn.id = mc.company_id AND mc.note LIKE '%(USA)%' AND ci.person_id = an.person_id AND ci.movie_id = mc.movie_id | job |
SELECT cnt, c_preferred_cust_flag, c_first_name, c_salutation, ss_ticket_number, c_last_name 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 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 INNER JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt DESC LIMIT 1000; | tpcds |
SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE ci.movie_id = t.id AND t.episode_nr >= 50 AND an.person_id = n.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND ci.movie_id = mc.movie_id AND an.person_id = ci.person_id AND mc.movie_id = mk.movie_id AND k.keyword = 'character-name-in-title' AND t.episode_nr < 100 AND n.id = ci.person_id AND t.id = mc.movie_id AND ci.movie_id = mk.movie_id AND cn.country_code = '[us]' AND mc.company_id = cn.id | job |
SELECT * FROM ( SELECT AVG(ss_list_price) AS b1_lp, COUNT(ss_list_price) AS b1_cnt, COUNT(DISTINCT ss_list_price) AS b1_cntd FROM store_sales WHERE ss_quantity <= 5 AND (ss_list_price BETWEEN 70 AND 70 + 10 OR ss_coupon_amt BETWEEN 1715 AND 1715 + 1000 OR ss_wholesale_cost BETWEEN 64 AND 64 + 20) ) AS b3 AND (ss_list_price BETWEEN 96 AND 96 + 10 OR ss_coupon_amt BETWEEN 2999 AND 2999 + 1000 OR ss_wholesale_cost BETWEEN 52 AND 52 + 20) ) AS b2, ( SELECT AVG(ss_list_price) AS b3_lp, COUNT(ss_list_price) AS b3_cnt, COUNT(DISTINCT ss_list_price) AS b3_cntd FROM store_sales WHERE ss_quantity BETWEEN 11 AND 15 AND (ss_list_price BETWEEN 45 AND 45 + 10 OR ss_coupon_amt BETWEEN 671 AND 671 + 1000 OR ss_wholesale_cost BETWEEN 93 AND 93 + 20) ) AS b1, ( SELECT AVG(ss_list_price) AS b2_lp, COUNT(ss_list_price) AS b2_cnt, COUNT(DISTINCT ss_list_price) AS b2_cntd FROM store_sales WHERE ss_quantity BETWEEN 6 AND 10 AND ss_quantity >= 0 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 mc.movie_id = mk.movie_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND k.keyword ='character-name-in-title' AND cn.id = mc.company_id AND mk.keyword_id = k.id LIMIT 100; | 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_before, 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_after, i_item_id FROM catalog_sales LEFT JOIN catalog_returns ON cs_order_number = cr_order_number AND cs_item_sk = cr_item_sk JOIN warehouse ON cs_warehouse_sk = w_warehouse_sk JOIN item ON i_item_sk = cs_item_sk JOIN date_dim ON cs_sold_date_sk = d_date_sk WHERE i_current_price BETWEEN 74.26 AND 74.26 + 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 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_suppkey = l_suppkey And s_nationkey = n1.n_nationkey And c_custkey = o_custkey And ( (n1.n_name = 1 And n2.n_name = 1) Or (n1.n_name = 1 And n2.n_name = 1) ) And o_orderkey = l_orderkey And c_nationkey = n2.n_nationkey Group By supp_nation, cust_nation, l_year Order By supp_nation, cust_nation, l_year | tpch |
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 LIMIT 100 | tpch |
SELECT AVG(ss_ext_wholesale_cost), AVG(ss_quantity), SUM(ss_ext_wholesale_cost), AVG(ss_ext_sales_price) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE s_market_id = 9 AND ( (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 d_year = 2001 AND ca_country = 'United States' 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) ) | 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 it2.id = mi.info_type_id AND miidx.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND mc.movie_id = t.id AND cn.country_code = '[de]' AND it2.info = 'release dates' AND ct.id = mc.company_type_id AND it.info = 'rating' AND mi.movie_id = t.id AND mi.movie_id = miidx.movie_id AND kt.id = t.kind_id AND ct.kind = 'production companies' AND it.id = miidx.info_type_id AND miidx.movie_id = t.id AND kt.kind = 'movie' | job |
select count(*) from store_sales join household_demographics on ss_hdemo_sk = hd_demo_sk join time_dim on ss_sold_time_sk = t_time_sk join store on ss_store_sk = s_store_sk where t_minute >= 35 AND hd_dep_count = 2 AND s_store_name = 'ation' AND t_hour = 10 order by count(*) asc limit 100; | tpcds |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_suppkey = l1.l_suppkey AND n_name = 1 AND l1.l_receiptdate > l1.l_commitdate AND s_nationkey = n_nationkey 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_orderstatus = 'F' AND o_orderkey = l1.l_orderkey GROUP BY s_name ORDER BY numwait ASC, s_name LIMIT 100 | tpch |
SELECT AVG(ss_quantity) AS agg1, AVG(ss_coupon_amt) AS agg3, AVG(ss_sales_price) AS agg4, AVG(ss_list_price) AS agg2, i_item_id FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE cd_gender = 'F' AND d_year = 2000 AND cd_education_status = 'Advanced Degree' AND cd_marital_status = 'W' AND (p_channel_email = 'N' OR p_channel_event = 'N') GROUP BY i_item_id ORDER BY i_item_id 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 t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' | job |
SELECT extended_price, c_first_name, ca_city, ss_ticket_number, bought_city, extended_tax, c_last_name, list_price FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 6 OR hd_vehicle_count = 2) AND d_dow IN (6, 0) AND d_year IN (2001, 2000, 2002) AND s_city IN ('Five Points', 'Springfield') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE c_custkey = o_custkey AND s_nationkey = n_nationkey AND r_name = 1 AND n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND l_suppkey = s_suppkey AND c_nationkey = s_nationkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND o_orderdate >= DATE 1 GROUP BY n_name ORDER BY revenue DESC | tpch |
select min(t.title) as movie_title from company_name as cn, keyword as k, movie_companies as mc, movie_keyword as mk, title as t where t.id = mk.movie_id AND cn.country_code ='[sm]' AND mc.movie_id = t.id AND cn.id = mc.company_id AND mk.keyword_id = k.id AND k.keyword ='character-name-in-title' AND mc.movie_id = mk.movie_id | job |
WITH year_total AS ( SELECT c_first_name AS customer_first_name, c_email_address AS customer_email_address, 's' AS sale_type, d_year AS dyear, c_last_name AS customer_last_name, c_login AS customer_login, c_birth_country AS customer_birth_country, c_preferred_cust_flag AS customer_preferred_cust_flag, c_customer_id AS customer_id, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 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 COUNT(1) FROM comments AS c, postHistory AS ph, votes AS v, users AS u WHERE u.UpVotes <= 123 AND v.UserId = ph.UserId AND u.Id = v.UserId AND u.Views >= 0 AND ph.UserId = c.UserId AND u.DownVotes >= 0 LIMIT 100; | stats |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE chn.id = ci.person_role_id AND ci.movie_id = mc.movie_id AND it.info = 'release dates' AND t.id = ci.movie_id AND mc.note LIKE '%(USA)%' AND t.id = mi.movie_id AND ci.person_id = an.person_id AND ci.role_id = rt.id AND n.id = ci.person_id AND it.id = mi.info_type_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mc.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND t.id = mc.movie_id AND t.production_year > 2000 AND rt.role = 'actress' AND an.person_id = n.id AND cn.id = mc.company_id AND cn.country_code = '[us]' AND n.gender = 'f' LIMIT 10; | job |
SELECT list_price, extended_tax, bought_city, c_last_name, extended_price, ca_city, ss_ticket_number, c_first_name FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE d_dow IN (6, 0) AND d_year IN (2001, 2000, 2002) AND s_city IN ('Five Points', 'Springfield') AND (hd_dep_count = 6 OR hd_vehicle_count = 2) 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 company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = t.id AND cn.id = mc.company_id AND cn.country_code ='[nl]' AND k.keyword ='character-name-in-title' LIMIT 500; | job |
select sum(ss_ext_wholesale_cost), avg(ss_ext_wholesale_cost), avg(ss_ext_sales_price), avg(ss_quantity) from store_sales join store on s_store_sk = ss_store_sk join customer_demographics on cd_demo_sk = ss_cdemo_sk join household_demographics on hd_demo_sk = ss_hdemo_sk join customer_address on ca_address_sk = ss_addr_sk join date_dim on d_date_sk = ss_sold_date_sk where s_market_id = 10 and d_year = 2002 and ( (cd_marital_status = 'M' and cd_education_status = 'College' and ss_sales_price >= 78 and ss_sales_price <= 126) or (cd_marital_status = 'D' and cd_education_status = 'Primary' and ss_sales_price between 69 and 117) or (cd_marital_status = 'D' and cd_education_status = 'College' and ss_sales_price between 147 and 164) ) and ( (hd_dep_count = 3 and hd_vehicle_count <= 3) or (hd_dep_count = 2 and hd_vehicle_count <= 2) or (hd_dep_count = 4 and hd_vehicle_count <= 5) ) and ca_country = 'United States' and ca_state in ('OH', 'GA', 'NY'); | tpcds |
Select Count(1) From comments As c, postHistory As ph, users As u Where u.Reputation >= 1 And u.UpVotes <= 27 And c.UserId = ph.UserId And u.Id = c.UserId | stats |
SELECT AVG(ss_sales_price) AS agg4, AVG(ss_quantity) AS agg1, AVG(ss_list_price) AS agg2, AVG(ss_coupon_amt) AS agg3, i_item_id FROM store_sales JOIN customer_demographics ON ss_cdemo_sk = cd_demo_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN promotion ON ss_promo_sk = p_promo_sk WHERE cd_gender = 'F' AND d_year = 2000 AND cd_marital_status = 'W' AND (p_channel_email = 'N' OR p_channel_event = 'N') AND cd_education_status = 'Secondary' GROUP BY i_item_id ORDER BY i_item_id LIMIT 100; | tpcds |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_shipmode IN (1, 1) AND o_orderkey = l_orderkey AND l_receiptdate >= DATE 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 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 l_orderkey = o_orderkey AND p_type = 1 ) AS all_nations AND s_nationkey = n2.n_nationkey AND n1.n_regionkey = r_regionkey AND r_name = 1 AND p_partkey = l_partkey AND o_custkey = c_custkey AND s_suppkey = l_suppkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' 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 cn.id = mc.company_id AND k.keyword = ANY(ARRAY['sequel', 'revenge', 'based-ON-novel']) AND lt.link LIKE '%follow%' AND mk.movie_id = mc.movie_id AND mi.info LIKE 'USA:% 199%' AND k.id = mk.keyword_id AND ml.movie_id = mi.movie_id AND t.id = mc.movie_id AND it.id = mi.info_type_id AND t.production_year > 1950 AND t.id = ml.movie_id AND mi.note LIKE '%internet%' AND mi.movie_id = t.id AND ct.id = mc.company_type_id AND ml.movie_id = mc.movie_id AND lt.id = ml.link_type_id AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND cn.country_code = '[us]' AND t.id = mk.movie_id AND it.info = 'release dates' AND ml.movie_id = mk.movie_id AND mc.note LIKE '%(USA)%' | job |
SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE mi.movie_id = mi_idx.movie_id AND it2.id = mi_idx.info_type_id AND mk.movie_id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND cn.id = mc.company_id AND mk.movie_id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND it1.info = 'countries' AND t.id = mi.movie_id AND ct.id = mc.company_type_id AND mc.note LIKE '%(200%)%' AND mi.info IN ('Germany', 'German', 'USA', 'American') AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND kt.id = t.kind_id AND it2.info = 'rating' AND it1.id = mi.info_type_id AND mi_idx.info < '7.0' AND t.production_year > 2008 AND t.id = mk.movie_id AND cn.country_code != '[us]' AND kt.kind IN ('movie', 'episode') AND t.id = mi_idx.movie_id AND k.id = mk.keyword_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mi.movie_id = mc.movie_id | job |
SELECT cc_name AS call_center_name, SUM(cr_net_loss) AS returns_loss, cc_call_center_id AS call_center, cc_manager AS manager 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 ( (cd_marital_status = 'S' AND cd_education_status = '4 yr Degree') OR (hd_buy_potential LIKE '501-1000%' AND ca_gmt_offset = -5) ) AND d_year = 2001 AND d_moy = 11 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 COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b WHERE b.UserId = c.UserId AND p.Id = ph.PostId AND p.Id = pl.RelatedPostId AND p.Id = v.PostId AND pl.LinkTypeId = 1 AND p.Id = c.PostId AND c.Score = 0 | stats |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(*) 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 (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.57 AND d_year IN (2000, 2002, 2001) AND s_county IN ('Franklin County', 'Daviess County', 'Jackson County') AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND hd_vehicle_count > 0 GROUP BY ss_ticket_number, ss_customer_sk ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
Select Min(n.name) As actor_name, Min(t.title) As marvel_movie, Min(k.keyword) As movie_keyword 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 t.id = mk.movie_id And k.keyword = 'marvel-cinematic-universe' And n.name Like '%Downey%Robert%' And ci.movie_id = mk.movie_id And t.id = ci.movie_id And k.id = mk.keyword_id | job |
Select COUNT(1) From posts As p, postLinks As pl, users As u Where p.Id = pl.PostId And p.OwnerUserId = u.Id And p.CommentCount <= 17 And u.CreationDate <= '2014-09-12 07:12:16'::timestamp LIMIT 100; | stats |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count FROM orders, lineitem WHERE l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey AND l_shipdate < l_commitdate AND l_commitdate < l_receiptdate AND l_shipmode IN (1, 1) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR GROUP BY l_shipmode ORDER BY l_shipmode | 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.id = mi.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND t.production_year > 2000 AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mk.movie_id AND k.keyword LIKE '%sequel%' ) SELECT * FROM _q LIMIT 200; | job |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE p_type = 1 ) AS all_nations AND s_suppkey = l_suppkey AND o_custkey = c_custkey AND s_nationkey = n2.n_nationkey AND c_nationkey = n1.n_nationkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_partkey = l_partkey AND l_orderkey = o_orderkey AND n1.n_regionkey = r_regionkey AND r_name = 1 GROUP BY o_year ORDER BY o_year | tpch |
select i_item_id, i_item_desc, s_store_id, s_store_name, max(ss_net_profit) as store_sales_profit, max(sr_net_loss) as store_returns_loss, max(cs_net_profit) as catalog_sales_profit from store_sales join store_returns on store_sales.ss_customer_sk = store_returns.sr_customer_sk and store_sales.ss_item_sk = store_returns.sr_item_sk and store_sales.ss_ticket_number = store_returns.sr_ticket_number join catalog_sales on store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk and store_returns.sr_item_sk = catalog_sales.cs_item_sk join date_dim as d1 on store_sales.ss_sold_date_sk = d1.d_date_sk join date_dim as d2 on store_returns.sr_returned_date_sk = d2.d_date_sk join date_dim as d3 on catalog_sales.cs_sold_date_sk = d3.d_date_sk join store on store_sales.ss_store_sk = store.s_store_sk join item on store_sales.ss_item_sk = item.i_item_sk where d3.d_year = 2002 and d3.d_moy between 5 and 5 + 3 and d1.d_year = 2002 and d2.d_year = 2002 and d2.d_moy between 5 and 5 + 3 and d1.d_moy between 5 and 5 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 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 s_suppkey = l_suppkey AND s_nationkey = n_nationkey AND p_partkey = l_partkey AND o_orderkey = l_orderkey AND ps_partkey = l_partkey AND ps_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT MIN(cn.name) AS 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 mi.info LIKE 'USA:% 199%' AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi.info_type_id AND lt.link LIKE '%follow%' AND t.production_year > 1950 AND it.info = 'release dates' AND t.id = mk.movie_id AND mi.movie_id = t.id AND cn.country_code = '[us]' AND lt.id = ml.link_type_id AND ml.movie_id = mi.movie_id AND ml.movie_id = mc.movie_id AND mi.note LIKE '%internet%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.note LIKE '%(USA)%' AND t.id = ml.movie_id AND k.id = mk.keyword_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mk.movie_id | job |
SELECT c_last_name, c_salutation, ss_ticket_number, c_preferred_cust_flag, c_first_name, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(1) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE 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 (1999, 2000, 2003) AND s_county IN ('Williamson County', 'Bronx County', 'Jackson County', 'Maricopa County') GROUP BY ss_ticket_number, ss_customer_sk ) AS dj JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 1 AND 5 ORDER BY cnt ASC LIMIT 1000; | tpcds |
select s_address, s_name from supplier, nation where s_suppkey in ( select ps_suppkey from partsupp where ps_partkey in ( select p_partkey from part where p_name like 1 ) and ps_availqty > ( select 0.5 * sum(l_quantity) from lineitem where l_partkey = ps_partkey and l_suppkey = ps_suppkey and l_shipdate >= DATE 1 and l_shipdate < DATE 1 + INTERVAL '1' YEAR ) ) and s_nationkey = n_nationkey and n_name = 1 order by s_name limit 1000; | tpch |
SELECT s_phone, total_revenue, s_suppkey, s_address, s_name FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) ORDER BY s_suppkey | 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 t.id = ci.movie_id AND ci.note LIKE '%(uncredited)%' AND ci.movie_id = mc.movie_id AND rt.role = 'actor' AND t.production_year > 2005 AND cn.id = mc.company_id AND chn.id = ci.person_role_id AND ci.note LIKE '%(voice)%' AND t.id = mc.movie_id AND rt.id = ci.role_id AND ct.id = mc.company_type_id AND cn.country_code = '[ru]' | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = c.PostId AND p.FavoriteCount >= 0 AND p.Id = pl.PostId AND p.Id = v.PostId AND c.Score = 0 AND pl.LinkTypeId = 1 AND p.Id = ph.PostId LIMIT 20; | stats |
SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE t.id = ci.movie_id AND ci.role_id = rt.id AND an.person_id = n.id AND it.info = 'release dates' AND cn.country_code = '[us]' AND mi.movie_id = ci.movie_id AND mi.movie_id = mc.movie_id AND n.gender = 'f' AND rt.role = 'actress' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND n.id = ci.person_id AND t.production_year > 2000 AND chn.id = ci.person_role_id AND cn.id = mc.company_id AND ci.person_id = an.person_id AND it.id = mi.info_type_id AND t.id = mc.movie_id AND mc.note LIKE '%(USA)%' AND ci.movie_id = mc.movie_id AND t.id = mi.movie_id | job |
SELECT o_year, SUM(amount) AS sum_profit, nation 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 ps_partkey = l_partkey AND s_suppkey = l_suppkey AND p_partkey = l_partkey AND s_nationkey = n_nationkey AND p_name LIKE 1 ) AS profit AND ps_suppkey = l_suppkey AND o_orderkey = l_orderkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE pi.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id AND ml.linked_movie_id = t.id AND an.name LIKE '%a%' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND ci.person_id = n.id AND it.info = 'mini biography' AND n.id = an.person_id AND it.id = pi.info_type_id AND n.id = pi.person_id AND lt.id = ml.link_type_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND pi.person_id = an.person_id AND an.person_id = ci.person_id AND pi.note = 'Volker Boehm' AND lt.link = 'features' AND t.id = ci.movie_id AND t.production_year BETWEEN 1980 AND 1995 | 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 ci.note Like '%(voice)%' And ct.id = mc.company_type_id And cn.country_code = '[ru]' And chn.id = ci.person_role_id And t.id = ci.movie_id And ci.movie_id = mc.movie_id And ci.note Like '%(uncredited)%' And rt.role = 'actor' And t.id = mc.movie_id And rt.id = ci.role_id And cn.id = mc.company_id And t.production_year > 2005 | job |
with year_total as ( select c_customer_id as customer_id, c_first_name as customer_first_name, c_last_name as customer_last_name, c_preferred_cust_flag as customer_preferred_cust_flag, c_birth_country as customer_birth_country, c_login as customer_login, c_email_address as customer_email_address, d_year as dyear, sum(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) as year_total, 's' as sale_type from customer join store_sales on c_customer_sk = ss_customer_sk join date_dim on ss_sold_date_sk = d_date_sk where d_year >= 2002 AND d_year <= 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; | tpcds |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.id = ci.movie_id AND n.id = ci.person_id AND t.production_year > 2010 AND k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND k.id = mk.keyword_id AND n.name LIKE '%Downey%Robert%' | job |
Select Min(n.name) As of_person, Min(t.title) As biography_movie From aka_name As an, cast_info As ci, info_type As it, link_type As lt, movie_link As ml, name As n, person_info As pi, title As t Where n.name_pcode_cf <= 'F' AND it.info = 'mini biography' AND lt.id = ml.link_type_id AND pi.person_id = ci.person_id AND pi.note = 'Volker Boehm' AND t.id = ci.movie_id AND n.name_pcode_cf >= 'A' AND pi.person_id = an.person_id AND an.person_id = ci.person_id AND it.id = pi.info_type_id AND n.id = pi.person_id AND lt.link = 'features' AND n.id = an.person_id AND ci.movie_id = ml.linked_movie_id AND ml.linked_movie_id = t.id AND an.name Like '%a%' AND t.production_year BETWEEN 1980 AND 1995 AND (n.gender = 'm' Or (n.gender = 'f' And n.name Like 'B%')) AND ci.person_id = n.id | job |
SELECT c_phone, c_comment, c_name, c_custkey, n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, c_address FROM customer, orders, lineitem, nation WHERE l_orderkey = o_orderkey AND l_returnflag = 'R' AND o_orderdate >= DATE 1 AND c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH 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 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, l_shipmode FROM orders, lineitem WHERE l_commitdate < l_receiptdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipdate < l_commitdate AND l_shipmode IN (1, 1) AND l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
WITH _q AS ( SELECT l_orderkey, o_shippriority, o_orderdate, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem WHERE c_mktsegment = 1 AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 AND l_shipdate > DATE 1 GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 ) SELECT * FROM _q; | tpch |
SELECT SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, l_shipmode, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey AND l_shipdate < l_commitdate AND l_shipmode IN (1, 1) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_commitdate < l_receiptdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
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 > 2000 AND t.id = mk.movie_id AND k.keyword LIKE '%sequel%' AND mk.movie_id = mi.movie_id AND t.id = mi.movie_id AND k.id = mk.keyword_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') LIMIT 100; | job |
SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE pi.person_id = an.person_id AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1980 AND 1995 AND n.id = an.person_id AND n.id = pi.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND lt.id = ml.link_type_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND ci.person_id = n.id AND t.id = ci.movie_id AND it.info = 'mini biography' AND it.id = pi.info_type_id AND pi.person_id = ci.person_id AND an.name LIKE '%a%' AND ml.linked_movie_id = t.id AND lt.link = 'features' AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id | job |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE it.id = mi.info_type_id AND t.id = mi.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'bottom 10 rank' AND t.id = mc.movie_id | 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_vehicle_count > 0 And s_county In ('Bronz County', 'Daviess County', 'Maricopa County') And (hd_buy_potential = '>10000' Or hd_buy_potential = 'Unknown') And d_year In (2000, 2002, 2003) And (d_dom >= 1 And d_dom <= 3 Or d_dom Between 25 And 28) And (Case When hd_vehicle_count > 0 Then hd_dep_count / hd_vehicle_count Else NULL End) > 1.79 Group By ss_ticket_number, ss_customer_sk ) As dn Join customer On ss_customer_sk = c_customer_sk Where cnt Between 15 And 20 Order By c_last_name, c_first_name, c_salutation, cnt Desc Limit 100; | tpcds |
SELECT MIN(t.title) AS japanese_movie_dubbed, MIN(an1.name) AS actress_pseudonym FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE an1.person_id = n1.id AND rt.role = 'actress' AND mc.note NOT LIKE '%(USA)%' AND cn.country_code = '[jp]' AND mc.note LIKE '%(Japan)%' AND an1.person_id = ci.person_id AND ci.note = '(voice: English version)' AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND n1.name LIKE '%Yo%' AND ci.role_id = rt.id AND n1.name NOT LIKE '%Yu%' AND n1.id = ci.person_id AND t.id = mc.movie_id AND ci.movie_id = t.id | job |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE o_orderdate >= DATE 1 AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND c_custkey = o_custkey AND c_nationkey = s_nationkey AND s_nationkey = n_nationkey AND l_suppkey = s_suppkey AND r_name = 1 GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE o_orderkey = l1.l_orderkey 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 o_orderstatus = 'F' AND s_suppkey = l1.l_suppkey AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND s_nationkey = n_nationkey AND n_name = 1 GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt FROM ( SELECT ss_ticket_number, ss_customer_sk, COUNT(1) AS cnt FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE d_year IN (2000, 2000, 2003) AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.56 AND s_county IN ('Williamson County', 'Washington County', 'Placer County') AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND hd_vehicle_count > 0 AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') 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 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 >= 78 AND ss_sales_price <= 126) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 69 AND 117) OR (cd_marital_status = 'D' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 147 AND 164) ) AND d_year = 2002 AND s_market_id = 10 AND ca_country = 'United States' AND ca_state IN ('OH', 'GA', 'NY') AND ( (hd_dep_count = 3 AND hd_vehicle_count <= 3) OR (hd_dep_count = 2 AND hd_vehicle_count <= 2) OR (hd_dep_count = 4 AND hd_vehicle_count <= 5) ) | tpcds |
SELECT SUM(cs_quantity) AS catalog_sales_quantity, s_store_id, i_item_id, SUM(ss_quantity) AS store_sales_quantity, s_store_name, i_item_desc, SUM(sr_return_quantity) AS store_returns_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 = 2 AND d1.d_year = 2001 AND d2.d_moy BETWEEN 2 AND 2 + 3 AND d2.d_year = 2001 AND d3.d_moy BETWEEN 2 AND 2 + 3 AND d3.d_year = 2001 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT i_manufact_id, SUM(ss_ext_sales_price) AS ext_price, i_brand AS brand, i_brand_id AS brand_id, i_manufact FROM date_dim JOIN store_sales ON d_date_sk = ss_sold_date_sk JOIN item ON ss_item_sk = i_item_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN store ON ss_store_sk = s_store_sk WHERE i_manager_id = 73 AND d_moy = 11 AND d_year = 1999 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 s_phone, s_name, s_suppkey, total_revenue, s_address FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MAX(total_revenue) FROM revenue0 ) ORDER BY s_suppkey LIMIT 500; | 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 k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id AND t.production_year > 2010 AND t.id = mk.movie_id AND n.name like '%Downey%Robert%' AND k.keyword = 'marvel-cinematic-universe' AND t.id = ci.movie_id | job |
SELECT bought_city, c_first_name, ss_ticket_number, c_last_name, extended_tax, extended_price, ca_city, list_price FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 4 OR hd_vehicle_count = 4) AND s_city IN ('Clinton', 'Glendale') AND d_year IN (2001, 2000, 2001) AND d_dow IN (6, 0) GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, l_shipmode FROM orders, lineitem WHERE l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND o_orderkey = l_orderkey AND l_receiptdate >= DATE 1 AND l_shipmode IN (1, 1) AND l_commitdate < l_receiptdate AND l_shipdate < l_commitdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_partkey = ps_partkey AND p_brand <> 1 AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_type NOT LIKE 1 AND p_size = ANY(ARRAY[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 LIMIT 100; | tpch |
SELECT COUNT(1) FROM comments AS c, postHistory AS ph WHERE c.Score = 0 AND c.UserId = ph.UserId AND ph.PostHistoryTypeId = 1 LIMIT 200; | stats |
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 80 And 80 + 30 And d_date Between CAST('2002-01-23' As DATE) And (CAST('2002-01-23' As DATE) + INTERVAL '60 days') And i_manufact_id In (427, 128, 154, 9) 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 MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE t.id = ci.movie_id AND t.id = mc.movie_id AND an.person_id = n.id AND it.info = 'release dates' AND ci.movie_id = mc.movie_id AND ci.person_id = an.person_id AND t.production_year > 2000 AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.role_id = rt.id AND n.gender = 'f' AND mc.note LIKE '%(USA)%' AND mi.movie_id = ci.movie_id AND n.id = ci.person_id AND t.id = mi.movie_id AND cn.country_code = '[us]' AND rt.role = 'actress' AND it.id = mi.info_type_id AND chn.id = ci.person_role_id | job |
select o_year, sum( case when nation = 1 then volume else 0 end ) / sum(volume) as mkt_share from ( select EXTRACT(YEAR from o_orderdate) as o_year, l_extendedprice * (1 - l_discount) as volume, n2.n_name as nation from part, supplier, lineitem, orders, customer, nation n1, nation n2, region where s_nationkey = n2.n_nationkey and n1.n_regionkey = r_regionkey and s_suppkey = l_suppkey and c_nationkey = n1.n_nationkey and p_type = 1 ) as all_nations and o_custkey = c_custkey and p_partkey = l_partkey and l_orderkey = o_orderkey and o_orderdate between DATE '1995-01-01' and DATE '1996-12-31' and r_name = 1 group by o_year order by o_year | 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 s_gmt_offset = -7 AND ca_gmt_offset = -7 AND d_year = 1998 AND i_category = 'Electronics' AND s_gmt_offset = -7 AND i_category = 'Electronics' AND d_moy = 9 ) AS promotional_sales, ( SELECT SUM(ss_ext_sales_price) AS total FROM store_sales JOIN store ON ss_store_sk = s_store_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = ca_address_sk JOIN item ON ss_item_sk = i_item_sk WHERE ca_gmt_offset = -7 AND d_year = 1998 AND (p_channel_dmail = 'Y' OR p_channel_email = 'Y' OR p_channel_tv = 'Y') AND d_moy = 9 ) AS all_sales ORDER BY promotions, total LIMIT 100; | tpcds |
SELECT o_year, SUM( CASE WHEN nation = 1 THEN volume ELSE 0 END ) / SUM(volume) AS mkt_share FROM ( SELECT EXTRACT(YEAR FROM o_orderdate) AS o_year, l_extendedprice * (1 - l_discount) AS volume, n2.n_name AS nation FROM part, supplier, lineitem, orders, customer, nation n1, nation n2, region WHERE s_nationkey = n2.n_nationkey AND s_suppkey = l_suppkey AND p_type = 1 ) AS all_nations AND r_name = 1 AND c_nationkey = n1.n_nationkey AND p_partkey = l_partkey AND n1.n_regionkey = r_regionkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND o_custkey = c_custkey AND l_orderkey = o_orderkey GROUP BY o_year ORDER BY o_year | 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 n.id = ci.person_id AND ci.movie_id = mk.movie_id AND n.name LIKE '%Downey%Robert%' AND t.id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND k.id = mk.keyword_id AND t.id = ci.movie_id AND t.production_year > 2010 | 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 it2.id = mi_idx.info_type_id AND t.id = mc.movie_id AND mk.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND it1.info = 'countries' AND it2.info = 'rating' AND t.id = mk.movie_id AND cn.id = mc.company_id AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(USA)%' AND cn.country_code != '[us]' AND mk.movie_id = mc.movie_id AND mi_idx.info < '7.0' AND k.id = mk.keyword_id AND t.id = mi.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND mi.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND t.production_year > 2008 AND mi.movie_id = mc.movie_id AND mc.note LIKE '%(200%)%' AND kt.kind IN ('movie', 'episode') AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND t.id = mi_idx.movie_id AND it1.id = mi.info_type_id AND mk.movie_id = mi.movie_id | job |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE t.production_year > 1950 AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND t.id = mk.movie_id AND ml.movie_id = mk.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ml.movie_id = mi.movie_id AND it.id = mi.info_type_id AND mi.info LIKE 'USA:% 199%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND t.id = ml.movie_id AND mi.movie_id = t.id AND t.id = mc.movie_id AND lt.id = ml.link_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id AND it.info = 'release dates' AND mc.note LIKE '%(USA)%' AND mi.note LIKE '%internet%' AND cn.country_code = '[us]' AND lt.link LIKE '%follow%' AND ct.id = mc.company_type_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 cn.country_code = '[us]' AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND it.id = mi.info_type_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND ci.role_id = rt.id AND n.gender = 'f' AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND mc.note LIKE '%(USA)%' AND mi.movie_id = mc.movie_id AND ci.person_id = an.person_id AND t.production_year > 2000 AND t.id = mi.movie_id AND chn.id = ci.person_role_id AND rt.role = 'actress' AND an.person_id = n.id AND n.id = ci.person_id AND it.info = 'release dates' AND t.id = ci.movie_id | job |
SELECT SUM(l_quantity) AS sum_qty, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice) AS sum_base_price, COUNT(*) AS count_order, AVG(l_discount) AS avg_disc, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_returnflag, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, l_linestatus, AVG(l_quantity) AS avg_qty FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus LIMIT 500; | tpch |
WITH _q AS ( SELECT COUNT(*) FROM comments AS c, posts AS p, votes AS v, users AS u WHERE u.Id = v.UserId AND p.Score >= 0 AND c.Score = 0 AND u.Id = c.UserId AND p.ViewCount >= 0 AND u.Id = p.OwnerUserId ) SELECT * FROM _q; | stats |
SELECT AVG(ss_ext_sales_price), SUM(ss_ext_wholesale_cost), AVG(ss_quantity), AVG(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 = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price BETWEEN 90 AND 128) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 81 AND 149) OR (cd_marital_status = 'W' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 138 AND 187) ) AND ca_state IN ('TX', 'GA', 'FL') AND ( (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 d_year = 2001 AND ca_country = 'United States' AND s_market_id = 8 | tpcds |
SELECT AVG(l_discount) AS avg_disc, SUM(l_extendedprice) AS sum_base_price, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, l_returnflag, SUM(l_quantity) AS sum_qty, l_linestatus, AVG(l_extendedprice) AS avg_price, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT MIN(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 it.info = 'top 250 rank' AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND ct.id = mc.company_type_id AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id | job |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_shipmode IN (1, 1) AND l_shipdate < l_commitdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey AND l_commitdate < l_receiptdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
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