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SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE ci.movie_id = mk.movie_id AND n.name LIKE '%Downey%Robert%' AND n.id = ci.person_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND k.id = mk.keyword_id AND k.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 | job |
with _q as ( select sum(l_extendedprice * l_discount) as revenue from lineitem where l_discount between 1 - 0.01 and 1 + 0.01 and l_quantity < 1 ) select * from _q and l_shipdate < DATE 1 + INTERVAL '1' YEAR and l_shipdate >= DATE 1 | tpch |
select dt.d_year, item.i_brand_id as brand_id, item.i_brand as brand, sum(ss_ext_sales_price) as sum_agg from date_dim as dt join store_sales on dt.d_date_sk = store_sales.ss_sold_date_sk join item on store_sales.ss_item_sk = item.i_item_sk where item.i_manufact_id = 703 and dt.d_moy = 11 group by dt.d_year, item.i_brand, item.i_brand_id order by dt.d_year, sum_agg asc, brand_id 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 mk.movie_id = mc.movie_id AND an.person_id = n.id AND rt.role = 'actress' AND k.id = mk.keyword_id AND n.gender = 'f' AND cn.country_code = '[jp]' AND t.id = ci.movie_id AND ci.note LIKE '%(voice: English version)%' AND t.id = mk.movie_id AND mc.note NOT LIKE '%(USA)%' AND t.production_year > 1990 AND ci.role_id = rt.id AND ci.movie_id = mc.movie_id AND t.id = mc.movie_id AND k.keyword = 'anime' AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.note LIKE '%(Japan)%' AND ci.person_id = an.person_id AND n.id = ci.person_id | 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 an.name LIKE '%a%' AND lt.id = ml.link_type_id AND t.id = ci.movie_id AND it.info = 'mini biography' AND ml.linked_movie_id = t.id AND pi.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id AND it.id = pi.info_type_id AND n.id = an.person_id AND n.id = pi.person_id AND pi.note = 'Volker Boehm' AND an.person_id = ci.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND t.production_year BETWEEN 1980 AND 1995 AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND lt.link = 'features' AND ci.person_id = n.id AND pi.person_id = an.person_id | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi_idx.info_type_id | 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 s_suppkey = l_suppkey AND o_orderkey = l_orderkey AND ps_suppkey = l_suppkey AND p_partkey = l_partkey AND ps_partkey = l_partkey AND s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, i_item_desc, COUNT(ss_quantity) AS store_sales_quantitycount, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, s_state, AVG(sr_return_quantity) AS store_returns_quantityave, AVG(cs_quantity) AS catalog_sales_quantityave, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, COUNT(cs_quantity) AS catalog_sales_quantitycount, COUNT(sr_return_quantity) AS store_returns_quantitycount, i_item_id 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 = '2001Q1' AND d2.d_quarter_name IN ('2001Q1', '2002Q2', '1999Q4') AND d3.d_quarter_name IN ('2001Q1', '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 c_address, c_comment, n_name, c_custkey, c_phone, c_acctbal, Sum(l_extendedprice * (1 - l_discount)) As revenue, c_name 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 |
With year_total As ( Select c_preferred_cust_flag As customer_preferred_cust_flag, c_birth_country As customer_birth_country, 's' As sale_type, c_last_name As customer_last_name, d_year As dyear, c_email_address As customer_email_address, c_customer_id As customer_id, c_first_name As customer_first_name, c_login As customer_login, Sum(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) As year_total From customer Join store_sales On c_customer_sk = ss_customer_sk Join date_dim On ss_sold_date_sk = d_date_sk Where d_year Between 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 i_item_id, i_item_desc, s_store_id, s_store_name, SUM(ss_quantity) AS store_sales_quantity, SUM(sr_return_quantity) AS store_returns_quantity, SUM(cs_quantity) AS catalog_sales_quantity FROM store_sales JOIN store_returns ON ss_customer_sk = sr_customer_sk AND ss_item_sk = sr_item_sk AND ss_ticket_number = sr_ticket_number JOIN catalog_sales ON sr_customer_sk = cs_bill_customer_sk AND sr_item_sk = cs_item_sk JOIN date_dim AS d1 ON ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON cs_sold_date_sk = d3.d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN item ON ss_item_sk = i_item_sk WHERE d3.d_year = 2001 AND d1.d_year = 2001 AND d3.d_moy BETWEEN 2 AND 2 + 3 AND d2.d_moy BETWEEN 2 AND 2 + 3 AND d1.d_moy = 2 AND d2.d_year = 2001 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name; | 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_nationkey = n_nationkey And p_partkey = l_partkey And ps_suppkey = l_suppkey And o_orderkey = l_orderkey And s_suppkey = l_suppkey And ps_partkey = l_partkey Group By nation, o_year Order By nation, o_year Desc | tpch |
SELECT MAX(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND t.id = mi.movie_id AND k.id = mk.keyword_id AND k.keyword LIKE '%sequel%' AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.production_year > 2000 AND mk.movie_id = mi.movie_id | job |
SELECT MIN(t.production_year) AS movie_year, MIN(t.title) AS movie_title, MIN(mc.note) AS production_note 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 t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mc.movie_id = mi_idx.movie_id | job |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE c_nationkey = s_nationkey AND r_name = 1 AND o_orderdate >= DATE 1 AND s_nationkey = n_nationkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND l_orderkey = o_orderkey AND c_custkey = o_custkey AND n_regionkey = r_regionkey AND l_suppkey = s_suppkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales JOIN store ON s_store_sk = ss_store_sk JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk JOIN customer_address ON ca_address_sk = ss_addr_sk JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ( (hd_dep_count = 2 AND hd_vehicle_count <= 3) OR (hd_dep_count = 4 AND hd_vehicle_count <= 3) OR (hd_dep_count = 5 AND hd_vehicle_count <= 5) ) AND ca_state IN ('TX', 'GA', 'NC') 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 d_year = 2001 AND ca_country = 'United States' AND s_market_id = 9 | tpcds |
SELECT AVG(l_quantity) AS avg_qty, l_returnflag, COUNT(*) AS count_order, AVG(l_extendedprice) AS avg_price, AVG(l_discount) AS avg_disc, l_linestatus, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice) AS sum_base_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, 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 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 n1.n_regionkey = r_regionkey AND p_partkey = l_partkey AND p_type = 1 ) AS all_nations AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND o_custkey = c_custkey AND s_suppkey = l_suppkey AND c_nationkey = n1.n_nationkey AND s_nationkey = n2.n_nationkey AND l_orderkey = o_orderkey AND r_name = 1 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 k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND t.id = ci.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND n.id = ci.person_id AND ci.movie_id = mk.movie_id | job |
SELECT COUNT(sr_return_quantity) AS store_returns_quantitycount, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, AVG(cs_quantity) AS catalog_sales_quantityave, i_item_id, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(ss_quantity) AS store_sales_quantitystdev, s_state, COUNT(cs_quantity) AS catalog_sales_quantitycount, COUNT(ss_quantity) AS store_sales_quantitycount, i_item_desc, STDDEV_SAMP(ss_quantity) / AVG(ss_quantity) AS store_sales_quantitycov, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, AVG(ss_quantity) AS store_sales_quantityave, 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 d1.d_quarter_name = '2001Q1' AND d2.d_quarter_name IN ('2001Q1', '2002Q2', '1999Q4') AND d3.d_quarter_name IN ('2001Q1', '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 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 ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND c_custkey = o_custkey AND c_nationkey = n2.n_nationkey AND s_nationkey = n1.n_nationkey AND s_suppkey = l_suppkey AND o_orderkey = l_orderkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
select avg(cs_sales_price) as agg4, avg(cs_quantity) as agg1, avg(cs_coupon_amt) as agg3, avg(cs_list_price) as agg2, i_item_id from catalog_sales join customer_demographics on cs_bill_cdemo_sk = cd_demo_sk join date_dim on cs_sold_date_sk = d_date_sk join item on cs_item_sk = i_item_sk join promotion on cs_promo_sk = p_promo_sk where cd_gender = 'M' and cd_marital_status = 'S' and cd_education_status = 'Advanced Degree' and (p_channel_email = 'N' or p_channel_event = 'N') and d_year = 2002 group by i_item_id order by i_item_id limit 100; | tpcds |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey 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 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 o_orderstatus = 'F' AND n_name = 1 GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
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 ci.movie_id = mk.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND k.id = mk.keyword_id AND t.production_year > 2010 AND t.id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND n.id = ci.person_id AND t.id = ci.movie_id | job |
SELECT COUNT(1) AS count_order, SUM(l_extendedprice) AS sum_base_price, AVG(l_extendedprice) AS avg_price, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, l_linestatus, l_returnflag, AVG(l_discount) AS avg_disc, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, SUM(l_quantity) AS sum_qty FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND l1.l_receiptdate > l1.l_commitdate AND n_name = 1 AND s_suppkey = l1.l_suppkey AND EXISTS ( SELECT * FROM lineitem l2 WHERE l2.l_orderkey = l1.l_orderkey AND l2.l_suppkey <> l1.l_suppkey ) AND o_orderkey = l1.l_orderkey AND o_orderstatus = 'F' AND 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 ) GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.id = mc.company_id AND t.id = mk.movie_id AND cn.country_code ='[sm]' AND mk.keyword_id = k.id AND mc.movie_id = t.id AND mc.movie_id = mk.movie_id AND k.keyword ='character-name-in-title' | 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 mc.note LIKE '%(USA)%' AND mi.note LIKE '%internet%' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.production_year > 1950 AND mk.movie_id = mc.movie_id AND it.info = 'release dates' AND mi.movie_id = t.id AND k.id = mk.keyword_id AND ml.movie_id = mk.movie_id AND it.id = mi.info_type_id AND lt.link LIKE '%follow%' AND mi.info LIKE 'USA:% 199%' AND cn.country_code = '[us]' AND lt.id = ml.link_type_id AND ct.id = mc.company_type_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND t.id = mk.movie_id AND ml.movie_id = mi.movie_id AND cn.id = mc.company_id AND t.id = mc.movie_id AND t.id = ml.movie_id AND ml.movie_id = mc.movie_id | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, movie_info_idx AS mi_idx, title AS t WHERE it.info ='rating' AND t.production_year BETWEEN 2000 AND 2010 AND it.id = mi_idx.info_type_id AND t.id = mi_idx.movie_id AND mi_idx.info > '7.0'; | 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 an.name Like '%a%' AND pi.person_id = an.person_id AND n.id = pi.person_id AND it.id = pi.info_type_id AND ml.linked_movie_id = t.id AND it.info = 'mini biography' AND ci.movie_id = ml.linked_movie_id AND (n.gender = 'm' Or (n.gender = 'f' And n.name Like 'B%')) AND lt.link = 'features' AND pi.note = 'Volker Boehm' AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND t.id = ci.movie_id AND lt.id = ml.link_type_id AND t.production_year BETWEEN 1980 AND 1995 AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND n.id = an.person_id AND ci.person_id = n.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 = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND it1.id = mi.info_type_id AND it1.info = 'countries' AND t.id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND kt.id = t.kind_id AND mi_idx.info < '7.0' AND it2.info = 'rating' AND t.production_year > 2008 AND cn.country_code != '[us]' AND k.id = mk.keyword_id AND mc.movie_id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = mi.movie_id AND ct.id = mc.company_type_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND mc.note Not Like '%(USA)%' AND mi.info In ('Germany', 'German', 'USA', 'American') AND it2.id = mi_idx.info_type_id AND mc.note Like '%(200%)%' AND mi.movie_id = mc.movie_id AND cn.id = mc.company_id AND kt.kind In ('movie', 'episode') AND k.keyword In ('murder', 'murder-In-title', 'blood', 'violence') | 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 s_suppkey = l_suppkey AND ps_suppkey = l_suppkey AND p_name LIKE 1 ) AS profit AND o_orderkey = l_orderkey AND ps_partkey = l_partkey AND p_partkey = l_partkey AND s_nationkey = n_nationkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | 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.keyword = 'marvel-cinematic-universe' AND t.production_year > 2010 AND k.id = mk.keyword_id AND ci.movie_id = mk.movie_id AND n.name LIKE '%Downey%Robert%' AND t.id = ci.movie_id AND t.id = mk.movie_id AND n.id = ci.person_id | job |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mk.keyword_id = k.id AND k.keyword ='character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND cn.country_code ='[de]' AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id LIMIT 10; | job |
Select dt.d_year, item.i_brand_id As brand_id, item.i_brand As brand, Sum(ss_ext_sales_price) As ext_price From date_dim As dt Inner Join store_sales On dt.d_date_sk = store_sales.ss_sold_date_sk Inner Join item On store_sales.ss_item_sk = item.i_item_sk Where dt.d_year = 1999 AND item.i_manager_id = 67 AND dt.d_moy = 11 Group By dt.d_year, item.i_brand, item.i_brand_id Order By dt.d_year, ext_price Desc, brand_id Limit 100; | tpcds |
SELECT c_first_name, c_last_name, bought_city, ss_ticket_number, list_price, ca_city, extended_price, extended_tax FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 5 OR hd_vehicle_count = 2) AND d_dow = ANY(ARRAY[6, 0]) AND d_year IN (2001, 2001, 2001) AND s_city IN ('Clinton', 'Glendale') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT 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_shipdate < l_commitdate AND l_receiptdate >= DATE 1 AND l_shipmode = ANY(ARRAY[1, 1]) AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND o_orderkey = l_orderkey AND l_commitdate < l_receiptdate GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND k.keyword ='character-name-IN-title' AND mc.movie_id = mk.movie_id AND cn.country_code ='[sm]' AND cn.id = mc.company_id LIMIT 200; | job |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE mi.movie_id = t.id AND mi.movie_id = miidx.movie_id AND ct.kind = 'production companies' AND it2.info = 'release dates' AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND kt.kind = 'movie' AND miidx.movie_id = t.id AND kt.id = t.kind_id AND ct.id = mc.company_type_id AND mc.movie_id = t.id AND miidx.movie_id = mc.movie_id AND it.info = 'rating' AND it2.id = mi.info_type_id AND cn.country_code = '[de]' AND it.id = miidx.info_type_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 INNER JOIN date_dim ON ss_sold_date_sk = d_date_sk INNER JOIN store ON ss_store_sk = s_store_sk INNER JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk WHERE (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND s_county IN ('Williamson County', 'Washington County', 'Placer County') AND hd_vehicle_count > 0 AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.56 AND d_year IN (2000, 2000, 2003) AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) GROUP BY ss_ticket_number, ss_customer_sk ) AS dn INNER JOIN customer ON ss_customer_sk = c_customer_sk WHERE cnt BETWEEN 15 AND 20 ORDER BY c_last_name, c_first_name, c_salutation, cnt DESC LIMIT 100; | tpcds |
select avg(ss_list_price) as agg2, avg(ss_coupon_amt) as agg3, i_item_id, avg(ss_quantity) as agg1, avg(ss_sales_price) as agg4 from store_sales join customer_demographics on ss_cdemo_sk = cd_demo_sk join date_dim on ss_sold_date_sk = d_date_sk join item on ss_item_sk = i_item_sk join promotion on ss_promo_sk = p_promo_sk where cd_gender = 'M' and cd_marital_status = 'D' and cd_education_status = 'Unknown' and (p_channel_email = 'N' or p_channel_event = 'N') and d_year = 2002 group by i_item_id order by i_item_id limit 100; | tpcds |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE 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 cn.country_code ='[de]' AND mk.keyword_id = k.id AND cn.id = mc.company_id LIMIT 50; | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, votes AS v, users AS u WHERE p.Score >= 0 AND u.Id = p.OwnerUserId AND p.ViewCount >= 0 AND u.Id = c.UserId AND u.Id = v.UserId AND c.Score = 0 LIMIT 50; | stats |
select count(*) from badges as b, users as u where b.UserId = u.Id AND u.UpVotes >= 0 LIMIT 500; | stats |
SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.name LIKE '%Downey%Robert%' AND t.id = mk.movie_id AND ci.movie_id = mk.movie_id AND t.production_year > 2010 AND k.id = mk.keyword_id AND n.id = ci.person_id AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' | job |
select count(*) from comments as c, posts as p, postLinks as pl, postHistory as ph, votes as v, badges as b, users as u where p.Id = c.PostId and p.Id = pl.RelatedPostId and pl.LinkTypeId = 1 and p.Id = ph.PostId and c.UserId = u.Id and p.Id = v.PostId and b.UserId = u.Id and p.Score <= 40 | stats |
select min(mc.note) as production_note, min(t.title) as movie_title, min(t.production_year) as movie_year from company_type as ct, info_type as it, movie_companies as mc, movie_info_idx as mi_idx, title as t where t.id = mc.movie_id AND ct.kind = 'production companies' AND (mc.note like '%(co-production)%' or mc.note like '%(presents)%') AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND it.info = 'top 250 rank' AND mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' 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_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) AND l_shipdate < l_commitdate AND o_orderkey = l_orderkey AND l_commitdate < l_receiptdate AND l_receiptdate >= DATE 1 GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 20; | 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 = mk.movie_id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND cn.id = mc.company_id AND cn.country_code ='[nl]' AND k.keyword ='character-name-In-title' AND mc.movie_id = t.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 ci.person_id = an.person_id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND it.id = mi.info_type_id AND cn.id = mc.company_id AND t.id = mc.movie_id AND mi.movie_id = ci.movie_id AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND t.id = ci.movie_id AND ci.role_id = rt.id AND n.gender = 'f' AND cn.country_code = '[us]' AND t.id = mi.movie_id AND an.person_id = n.id AND chn.id = ci.person_role_id AND mi.movie_id = mc.movie_id AND mc.note LIKE '%(USA)%' AND n.id = ci.person_id AND t.production_year > 2000 AND it.info = 'release dates' | 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 ='[de]' and t.id = mk.movie_id and mc.movie_id = t.id and k.keyword ='character-name-in-title' and mc.movie_id = mk.movie_id and mk.keyword_id = k.id and cn.id = mc.company_id | 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 ci.movie_id = ml.linked_movie_id AND lt.link = 'features' AND an.person_id = ci.person_id AND ci.person_id = n.id AND it.info = 'mini biography' AND pi.person_id = ci.person_id AND n.id = an.person_id AND an.name LIKE '%a%' AND t.production_year BETWEEN 1980 AND 1995 AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND it.id = pi.info_type_id AND lt.id = ml.link_type_id AND n.id = pi.person_id AND ml.linked_movie_id = t.id AND pi.note = 'Volker Boehm' AND t.id = ci.movie_id AND pi.person_id = an.person_id AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) | job |
SELECT l_shipmode, SUM( CASE WHEN o_orderpriority = '1-URGENT' OR o_orderpriority = '2-HIGH' THEN 1 ELSE 0 END ) AS high_line_count, SUM( CASE WHEN o_orderpriority <> '1-URGENT' AND o_orderpriority <> '2-HIGH' THEN 1 ELSE 0 END ) AS low_line_count FROM orders, lineitem WHERE l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey AND l_commitdate < l_receiptdate AND l_shipdate < l_commitdate AND l_shipmode = ANY(ARRAY[1, 1]) GROUP BY l_shipmode ORDER BY l_shipmode | 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 ci.note LIKE '%(voice: English version)%' AND ci.person_id = an.person_id AND cn.country_code = '[jp]' AND ci.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND cn.id = mc.company_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND k.keyword = 'anime' AND n.gender = 'f' AND mc.note LIKE '%(Japan)%' AND an.person_id = n.id AND t.id = mk.movie_id AND k.id = mk.keyword_id AND t.id = ci.movie_id AND mk.movie_id = ci.movie_id AND n.id = ci.person_id AND ct.id = mc.company_type_id AND ci.role_id = rt.id AND t.production_year > 1990 AND rt.role = 'actress' | 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 k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mk.movie_id = mc.movie_id AND ml.movie_id = mc.movie_id AND lt.link LIKE '%follow%' AND it.info = 'release dates' AND t.id = mk.movie_id AND mi.movie_id = t.id AND it.id = mi.info_type_id AND t.id = ml.movie_id AND lt.id = ml.link_type_id AND mi.note LIKE '%internet%' AND mi.info LIKE 'USA:% 199%' AND cn.country_code = '[us]' AND t.production_year > 1950 AND cn.id = mc.company_id AND ml.movie_id = mk.movie_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND k.id = mk.keyword_id AND ml.movie_id = mi.movie_id AND mc.note LIKE '%(USA)%' | 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 s_suppkey = l_suppkey And ps_suppkey = l_suppkey And ps_partkey = l_partkey And p_partkey = l_partkey And o_orderkey = l_orderkey And s_nationkey = n_nationkey And p_name Like 1 ) As profit Group By nation, o_year Order By nation, o_year Desc Limit 100; | tpch |
SELECT p_brand, p_size, p_type, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_brand <> 1 AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND p_partkey = ps_partkey 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 extended_tax, ca_city, c_last_name, ss_ticket_number, c_first_name, extended_price, list_price, bought_city FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 5 OR hd_vehicle_count = 0) AND d_dow IN (6, 0) AND d_year IN (1999, 2002, 2003) AND s_city IN ('Clinton', 'Oak Grove') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number; | 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 t.episode_nr < 100 AND ci.movie_id = mc.movie_id AND an.person_id = ci.person_id AND k.keyword = 'character-name-in-title' AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND t.episode_nr >= 50 AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND cn.country_code = '[us]' AND mc.company_id = cn.id AND ci.movie_id = t.id AND an.person_id = n.id AND n.id = ci.person_id AND t.id = mc.movie_id | job |
Select o_orderdate, l_orderkey, Sum(l_extendedprice * (1 - l_discount)) As revenue, o_shippriority 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 | tpch |
SELECT p_brand, p_type, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_size FROM partsupp, part WHERE p_type NOT LIKE 1 AND 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_size IN (1, 1, 1, 1, 1, 1, 1, 1) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
WITH year_total AS ( SELECT c_preferred_cust_flag AS customer_preferred_cust_flag, 's' AS sale_type, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, c_login AS customer_login, c_first_name AS customer_first_name, c_email_address AS customer_email_address, d_year AS dyear, c_customer_id AS customer_id, c_birth_country AS customer_birth_country, 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 sum(l_quantity) as sum_qty, sum(l_extendedprice) as sum_base_price, avg(l_quantity) as avg_qty, l_returnflag, l_linestatus, avg(l_discount) as avg_disc, count(*) as count_order, sum(l_extendedprice * (1 - l_discount)) as sum_disc_price, sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) as sum_charge, avg(l_extendedprice) as avg_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 COUNT(1) From comments As c, postHistory As ph, votes As v, users As u Where u.DownVotes >= 0 AND u.Views >= 0 AND u.Id = v.UserId AND u.UpVotes <= 123 AND ph.UserId = c.UserId AND v.UserId = ph.UserId | stats |
SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE k.keyword ='character-name-in-title' AND mk.keyword_id = k.id AND cn.country_code ='[sm]' AND mc.movie_id = mk.movie_id AND t.id = mk.movie_id AND mc.movie_id = t.id AND cn.id = mc.company_id | job |
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 catalog_sales ON cs_item_sk = i_item_sk WHERE i_manufact_id IN (27, 394, 425, 158) AND i_current_price BETWEEN 75 AND 75 + 30 AND inv_quantity_on_hand <= 500 AND inv_quantity_on_hand >= 100 AND d_date BETWEEN CAST('2000-05-01' AS DATE) AND (CAST('2000-05-01' AS DATE) + INTERVAL '60 days') GROUP BY i_item_id, i_item_desc, i_current_price ORDER BY i_item_id LIMIT 100; | tpcds |
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 d2.d_moy BETWEEN 5 AND 5 + 3 AND d1.d_year = 2002 AND d2.d_year = 2002 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; | 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 cn.id = mc.company_id AND ci.person_id = an.person_id AND ci.role_id = rt.id AND k.id = mk.keyword_id AND cn.country_code = '[jp]' AND mk.movie_id = mc.movie_id AND mk.movie_id = ci.movie_id AND an.person_id = n.id AND t.production_year > 1990 AND t.id = ci.movie_id AND t.id = mc.movie_id AND k.keyword = 'anime' AND n.gender = 'f' AND mc.note LIKE '%(Japan)%' AND t.id = mk.movie_id AND rt.role = 'actress' AND ci.movie_id = mc.movie_id AND n.id = ci.person_id AND mc.note NOT LIKE '%(USA)%' AND ci.note LIKE '%(voice: English version)%' AND ct.id = mc.company_type_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 n1.n_regionkey = r_regionkey AND p_type = 1 ) AS all_nations AND c_nationkey = n1.n_nationkey AND p_partkey = l_partkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND o_custkey = c_custkey AND l_orderkey = o_orderkey AND s_suppkey = l_suppkey AND r_name = 1 AND s_nationkey = n2.n_nationkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE rt.role = 'actress' AND n.id = ci.person_id AND ci.role_id = rt.id AND ci.movie_id = mc.movie_id AND mk.movie_id = ci.movie_id AND k.keyword = 'anime' AND an.person_id = n.id AND t.production_year > 1990 AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = mc.movie_id AND mc.note NOT LIKE '%(USA)%' AND n.gender = 'f' AND cn.country_code = '[jp]' AND ci.person_id = an.person_id AND mc.note LIKE '%(Japan)%' AND mk.movie_id = mc.movie_id AND ci.note LIKE '%(voice: English version)%' | job |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.info = 'bottom 10 rank' AND ct.kind = 'production companies' AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.id = mi.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mi.movie_id | job |
SELECT nation, SUM(amount) AS sum_profit, o_year 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 p_partkey = l_partkey AND o_orderkey = l_orderkey AND ps_partkey = l_partkey AND s_nationkey = n_nationkey AND s_suppkey = l_suppkey AND ps_suppkey = l_suppkey GROUP BY nation, o_year ORDER BY nation, o_year DESC | tpch |
SELECT MIN(t.title) AS american_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE mc.movie_id = mi.movie_id AND ct.kind = 'production companies' AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND t.id = mi.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.id = mi.info_type_id AND it.info = 'bottom 10 rank' | job |
SELECT MAX(mc.note) AS production_note, MAX(t.title) AS movie_title, MAX(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE t.id = mi_idx.movie_id AND t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND it.info = 'top 250 rank' AND ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b WHERE p.Id = pl.RelatedPostId AND c.Score = 0 AND b.UserId = c.UserId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 AND p.Id = v.PostId AND p.Id = c.PostId LIMIT 500; | stats |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE 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_nationkey = n_nationkey AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND l1.l_receiptdate > l1.l_commitdate AND s_suppkey = l1.l_suppkey AND o_orderstatus = 'F' GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
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 t.id = mi_idx.movie_id And it.id = mi_idx.info_type_id And mi_idx.info > '7.0' And it.info ='rating' And t.production_year Between 2000 And 2010 | job |
SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, company_type AS ct, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE t.id = ci.movie_id AND ci.note LIKE '%(voice: English version)%' AND mk.movie_id = ci.movie_id AND n.gender = 'f' AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.person_id = an.person_id AND mk.movie_id = mc.movie_id AND k.keyword = 'anime' AND mc.note NOT LIKE '%(USA)%' AND rt.role = 'actress' AND cn.country_code = '[jp]' AND t.production_year > 1990 AND ct.id = mc.company_type_id AND ci.movie_id = mc.movie_id AND ci.role_id = rt.id AND cn.id = mc.company_id AND k.id = mk.keyword_id AND mc.note LIKE '%(Japan)%' AND n.id = ci.person_id AND an.person_id = n.id | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND t.id = mc.movie_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi_idx.movie_id | job |
SELECT i_brand_id AS brand_id, i_manufact_id, i_brand AS brand, SUM(ss_ext_sales_price) AS ext_price, 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 d_year = 1999 AND i_manager_id = 3 AND d_moy = 12 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 STDDEV_SAMP(cs_quantity) / AVG(cs_quantity) AS catalog_sales_quantitycov, i_item_id, AVG(cs_quantity) AS catalog_sales_quantityave, AVG(ss_quantity) AS store_sales_quantityave, STDDEV_SAMP(sr_return_quantity) AS store_returns_quantitystdev, i_item_desc, s_state, COUNT(ss_quantity) AS store_sales_quantitycount, AVG(sr_return_quantity) AS store_returns_quantityave, STDDEV_SAMP(sr_return_quantity) / AVG(sr_return_quantity) AS store_returns_quantitycov, COUNT(sr_return_quantity) AS store_returns_quantitycount, 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 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_shipdate < l_commitdate AND l_commitdate < l_receiptdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR 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 |
SELECT COUNT(*) FROM postHistory AS ph, posts AS p, users AS u, badges AS b WHERE ph.UserId = u.Id AND u.Id = b.UserId AND p.Score >= -7 AND u.Reputation >= 1 AND p.OwnerUserId = u.Id AND ph.PostHistoryTypeId = 3 LIMIT 200; | stats |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND it.id = mi_idx.info_type_id AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND t.id = mi_idx.movie_id | job |
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 pl.LinkTypeId = 1 AND p.Id = v.PostId AND p.Id = c.PostId AND c.Score = 0 | stats |
SELECT c_last_name, bought_city, extended_price, ss_ticket_number, list_price, extended_tax, ca_city, 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 (hd_dep_count = 5 OR hd_vehicle_count = 0) AND d_dow IN (6, 0) AND d_year IN (1999, 2002, 2003) AND s_city IN ('Clinton', 'Oak Grove') GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city ) AS dn JOIN customer ON ss_customer_sk = c_customer_sk JOIN customer_address ON c_current_addr_sk = customer_address.ca_address_sk WHERE ca_city <> bought_city ORDER BY c_last_name, ss_ticket_number LIMIT 100; | tpcds |
SELECT 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_suppkey = l_suppkey AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_nationkey = n2.n_nationkey AND p_type = 1 ) AS all_nations AND n1.n_regionkey = r_regionkey AND c_nationkey = n1.n_nationkey AND o_custkey = c_custkey AND p_partkey = l_partkey AND l_orderkey = o_orderkey AND r_name = 1 GROUP BY o_year ORDER BY o_year | tpch |
SELECT ps_partkey, SUM(ps_supplycost * ps_availqty) AS VALUE FROM partsupp, supplier, nation WHERE s_nationkey = n_nationkey AND ps_suppkey = s_suppkey AND n_name = 1 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 LIMIT 200; | tpch |
select min(t.title) as movie_title from keyword as k, movie_info as mi, movie_keyword as mk, title as t where mk.movie_id = mi.movie_id and k.keyword like '%sequel%' and k.id = mk.keyword_id and t.production_year > 2005 and t.id = mk.movie_id and t.id = mi.movie_id and mi.info in ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') limit 100; | job |
SELECT MIN(t.title) AS movie_title, MIN(mc.note) AS production_note, 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 ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' | job |
Select Min(mi_idx.info) As rating, Min(t.title) As northamerican_movie From aka_title As at, company_name As cn, info_type As it1, info_type As it2, kind_type As kt, movie_companies As mc, movie_info As mi, movie_info_idx As mi_idx, title As t Where mi_idx.movie_id = mc.movie_id And t.id = at.movie_id And it1.id = mi_idx.info_type_id And t.id = mi_idx.movie_id And kt.kind = 'movie' And kt.id = t.kind_id And mi.info Like 'USA:%200%' And cn.country_code = '[us]' And mi.movie_id = mi_idx.movie_id And it1.info = 'rating' And mi.movie_id = mc.movie_id And at.title Like '%Champion%' And t.id = mc.movie_id And it2.info = 'release dates' And it2.id = mi.info_type_id And at.movie_id = mi.movie_id And cn.id = mc.company_id And t.production_year > 2000 And at.movie_id = mc.movie_id And at.movie_id = mi_idx.movie_id And t.id = mi.movie_id And mi_idx.info < '3.5' | 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_year IN (1999, 2002, 2001) AND d_dom >= 1 AND d_dom <= 2 AND (hd_buy_potential = '1001-5000' OR hd_buy_potential = '5001-10000') AND hd_vehicle_count > 0 AND s_county IN ('Williamson County', 'Jefferson County', 'Jackson County', 'Champaign 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(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE it.id = mi_idx.info_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ct.kind = 'production companies' AND mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND it.info = 'top 250 rank' | job |
SELECT ss_ticket_number, c_first_name, extended_tax, bought_city, c_last_name, ca_city, list_price, extended_price FROM ( SELECT ss_ticket_number, ss_customer_sk, ca_city AS bought_city, SUM(ss_ext_sales_price) AS extended_price, SUM(ss_ext_list_price) AS list_price, SUM(ss_ext_tax) AS extended_tax FROM store_sales JOIN date_dim ON ss_sold_date_sk = d_date_sk JOIN store ON ss_store_sk = s_store_sk JOIN household_demographics ON ss_hdemo_sk = hd_demo_sk JOIN customer_address ON ss_addr_sk = ca_address_sk WHERE (hd_dep_count = 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 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 50; | tpch |
SELECT SUM(l_extendedprice) AS sum_base_price, l_returnflag, AVG(l_discount) AS avg_disc, AVG(l_quantity) AS avg_qty, COUNT(*) AS count_order, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_extendedprice) AS avg_price, l_linestatus 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 ct.id = mc.company_type_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id AND t.id = mc.movie_id AND ct.kind = 'production companies' AND t.id = mi_idx.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND it.info = 'top 250 rank' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') | job |
SELECT i_item_id, AVG(cs_quantity) AS agg1, AVG(cs_list_price) AS agg2, AVG(cs_coupon_amt) AS agg3, AVG(cs_sales_price) AS agg4 FROM catalog_sales INNER JOIN customer_demographics ON cs_bill_cdemo_sk = cd_demo_sk INNER JOIN date_dim ON cs_sold_date_sk = d_date_sk INNER JOIN item ON cs_item_sk = i_item_sk INNER JOIN promotion ON cs_promo_sk = p_promo_sk WHERE cd_marital_status = 'S' AND d_year = 1999 AND cd_gender = 'F' AND cd_education_status = 'Advanced Degree' 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(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE t.production_year > 2010 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' AND n.name LIKE '%Hemsworth%Chris%' AND n.id = ci.person_id AND ci.movie_id = mk.movie_id LIMIT 20; | job |
SELECT c_comment, c_address, n_name, c_phone, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_custkey, c_name, c_acctbal 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 |
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