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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 ct.id = mc.company_type_id AND lt.id = ml.link_type_id AND mi.movie_id = t.id AND k.id = mk.keyword_id AND it.info = 'release dates' AND k.keyword IN ('sequel', 'revenge', 'based-ON-novel') AND t.id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mk.movie_id AND mi.note LIKE '%internet%' AND cn.id = mc.company_id AND t.id = mk.movie_id AND lt.link LIKE '%follow%' AND it.id = mi.info_type_id AND mi.info LIKE 'USA:% 199%' AND mc.note NOT LIKE '%(AS Metro-Goldwyn-Mayer Pictures)%' AND ml.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND t.id = ml.movie_id AND mc.note LIKE '%(USA)%' AND t.production_year > 1950 AND cn.country_code = '[us]' | 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_shipdate < l_commitdate AND l_commitdate < l_receiptdate AND l_receiptdate >= DATE 1 AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_shipmode IN (1, 1) AND o_orderkey = l_orderkey GROUP BY l_shipmode ORDER BY l_shipmode | tpch |
SELECT COUNT(1) FROM comments AS c, badges AS b, users AS u WHERE c.UserId = b.UserId AND u.Id = c.UserId AND u.UpVotes >= 0 AND c.Score = 0 LIMIT 10; | stats |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE mc.note LIKE '%(Japan)%' AND mc.note NOT LIKE '%(USA)%' AND mc.company_id = cn.id AND ci.note = '(voice: English version)' AND ci.role_id = rt.id AND n1.name LIKE '%Yo%' AND n1.id = ci.person_id AND ci.movie_id = t.id AND an1.person_id = n1.id AND rt.role = 'actress' AND t.id = mc.movie_id AND an1.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND n1.name NOT LIKE '%Yu%' AND cn.country_code = '[jp]' | job |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE c_custkey = o_custkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND c_nationkey = n2.n_nationkey AND s_nationkey = n1.n_nationkey AND o_orderkey = l_orderkey AND s_suppkey = l_suppkey AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
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 an.person_id = n.id AND ci.movie_id = mk.movie_id AND t.id = mk.movie_id AND ci.movie_id = mc.movie_id AND cn.country_code = '[us]' AND t.episode_nr >= 50 AND t.id = mc.movie_id AND t.episode_nr < 100 AND mc.movie_id = mk.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND mk.keyword_id = k.id AND n.id = ci.person_id AND k.keyword = 'character-name-in-title' | job |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) AND s_suppkey = l_suppkey AND c_custkey = o_custkey AND c_nationkey = n2.n_nationkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND s_nationkey = n1.n_nationkey AND o_orderkey = l_orderkey GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
SELECT c_phone, c_comment, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_custkey, n_name, c_acctbal, c_address, 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 |
select n_name, s_phone, s_comment, p_partkey, p_mfgr, s_name, s_acctbal, s_address from part, supplier, partsupp, nation, region where p_partkey = ps_partkey and s_suppkey = ps_suppkey and p_size = 1 and p_type like 1 and s_nationkey = n_nationkey and n_regionkey = r_regionkey and r_name = 1 and ps_supplycost = ( select min(ps_supplycost) from partsupp, supplier, nation, region where p_partkey = ps_partkey and s_suppkey = ps_suppkey and s_nationkey = n_nationkey and n_regionkey = r_regionkey and r_name = 1 ) order by s_acctbal desc, n_name, s_name, p_partkey limit 100 | tpch |
SELECT MIN(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.id = pi.person_id AND pi.person_id = ci.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND lt.id = ml.link_type_id AND n.id = an.person_id AND ci.person_id = n.id AND ci.movie_id = ml.linked_movie_id AND pi.note = 'Volker Boehm' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND ml.linked_movie_id = t.id AND an.person_id = ci.person_id AND lt.link = 'features' AND an.name LIKE '%a%' AND it.id = pi.info_type_id AND t.production_year BETWEEN 1980 AND 1995 AND t.id = ci.movie_id AND it.info = 'mini biography' AND pi.person_id = an.person_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_commitdate < l_receiptdate AND l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey AND l_shipmode IN (1, 1) AND l_shipdate < l_commitdate GROUP BY l_shipmode ORDER BY l_shipmode LIMIT 100; | tpch |
SELECT MAX(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code ='[de]' AND t.id = mk.movie_id AND mc.movie_id = mk.movie_id AND mk.keyword_id = k.id AND cn.id = mc.company_id AND mc.movie_id = t.id AND k.keyword ='character-name-in-title' | job |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE s_nationkey = n_nationkey AND p_partkey = ps_partkey AND n_regionkey = r_regionkey AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) AND p_size = 1 AND r_name = 1 AND s_suppkey = ps_suppkey AND p_type LIKE 1 ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword LIKE '%sequel%' AND t.id = mi.movie_id AND t.id = mk.movie_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND k.id = mk.keyword_id AND mk.movie_id = mi.movie_id AND t.production_year > 2000 LIMIT 20; | job |
Select c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number, cnt From ( Select ss_ticket_number, ss_customer_sk, Count(*) As cnt From store_sales Join date_dim On ss_sold_date_sk = d_date_sk Join store On ss_store_sk = s_store_sk Join household_demographics On ss_hdemo_sk = hd_demo_sk Where (hd_buy_potential = '1001-5000' Or hd_buy_potential = '5001-10000') AND d_dom BETWEEN 1 AND 2 AND s_county In ('Franklin County', 'Jefferson County', 'Oglethorpe County', 'Maricopa County') AND hd_vehicle_count > 0 AND d_year In (2001, 2000, 2003) Group By ss_ticket_number, ss_customer_sk ) As dj Join customer On ss_customer_sk = c_customer_sk Where cnt Between 1 And 5 Order By cnt Desc Limit 1000; | tpcds |
SELECT MIN(t.title) AS voiced_movie, MIN(n.name) AS voicing_actress FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE it.id = mi.info_type_id AND mi.movie_id = ci.movie_id AND t.id = mc.movie_id AND t.production_year > 2000 AND ci.movie_id = mc.movie_id AND rt.role = 'actress' AND cn.id = mc.company_id AND mi.movie_id = mc.movie_id AND t.id = mi.movie_id AND it.info = 'release dates' AND ci.role_id = rt.id AND cn.country_code = '[us]' AND t.id = ci.movie_id AND n.id = ci.person_id AND n.gender = 'f' AND an.person_id = n.id AND ci.note IN ('(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)') AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND mc.note LIKE '%(USA)%' | job |
select sum(l_quantity), c_custkey, o_orderkey, o_orderdate, c_name, o_totalprice from customer, orders, lineitem where o_orderkey in ( select l_orderkey from lineitem group by l_orderkey having sum(l_quantity) > 1 ) and c_custkey = o_custkey and o_orderkey = l_orderkey group by c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice order by o_totalprice desc, o_orderdate limit 100 | tpch |
SELECT 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 t.id = mk.movie_id AND cn.country_code != '[us]' AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND it2.id = mi_idx.info_type_id AND mc.movie_id = mi_idx.movie_id AND t.id = mi.movie_id AND mc.note NOT LIKE '%(USA)%' AND k.id = mk.keyword_id AND mc.note LIKE '%(200%)%' AND kt.id = t.kind_id AND mi.info IN ('Germany', 'German', 'USA', 'American') AND it1.info = 'countries' AND mi.movie_id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND it1.id = mi.info_type_id AND it2.info = 'rating' AND kt.kind IN ('movie', 'episode') AND cn.id = mc.company_id AND mk.movie_id = mi_idx.movie_id AND t.production_year > 2008 AND mi.movie_id = mc.movie_id AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND mi_idx.info < '7.0' AND t.id = mi_idx.movie_id AND mk.movie_id = mc.movie_id | job |
SELECT MIN(t.title) AS biography_movie, MIN(n.name) AS of_person 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 lt.link = 'features' AND t.id = ci.movie_id AND pi.person_id = an.person_id AND it.id = pi.info_type_id AND n.id = an.person_id AND an.name LIKE '%a%' AND an.person_id = ci.person_id AND ci.person_id = n.id AND pi.person_id = ci.person_id AND it.info = 'mini biography' AND t.production_year BETWEEN 1980 AND 1995 AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND pi.note = 'Volker Boehm' AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND n.name_pcode_cf <= 'F' AND ci.movie_id = ml.linked_movie_id AND n.id = pi.person_id AND n.name_pcode_cf >= 'A' | job |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE s_nationkey = n_nationkey AND o_orderkey = l1.l_orderkey AND n_name = 1 AND NOT EXISTS ( SELECT * FROM lineitem l3 WHERE l3.l_orderkey = l1.l_orderkey AND l3.l_suppkey <> l1.l_suppkey AND l3.l_receiptdate > l3.l_commitdate ) AND o_orderstatus = 'F' 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 GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = v.PostId AND p.Id = pl.PostId AND p.Id = c.PostId AND c.Score = 0 AND p.Id = ph.PostId AND p.FavoriteCount >= 0 AND pl.LinkTypeId = 1 | stats |
SELECT o_totalprice, o_orderkey, c_name, SUM(l_quantity), o_orderdate, c_custkey FROM customer, orders, lineitem WHERE o_orderkey IN ( SELECT l_orderkey FROM lineitem GROUP BY l_orderkey HAVING SUM(l_quantity) > 1 ) AND c_custkey = o_custkey AND o_orderkey = l_orderkey GROUP BY c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice ORDER BY o_totalprice ASC, o_orderdate; | tpch |
WITH year_total AS ( SELECT c_last_name AS customer_last_name, c_customer_id AS customer_id, c_email_address AS customer_email_address, c_birth_country AS customer_birth_country, SUM(((ss_ext_list_price - ss_ext_wholesale_cost - ss_ext_discount_amt) + ss_ext_sales_price) / 2) AS year_total, d_year AS dyear, 's' AS sale_type, c_preferred_cust_flag AS customer_preferred_cust_flag, c_first_name AS customer_first_name, c_login AS customer_login FROM customer JOIN store_sales ON c_customer_sk = ss_customer_sk JOIN date_dim ON ss_sold_date_sk = d_date_sk WHERE d_year BETWEEN 2002 AND 2002 + 1 GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year ) SELECT t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address FROM year_total AS t_s_firstyear JOIN year_total AS t_s_secyear ON t_s_firstyear.customer_id = t_s_secyear.customer_id WHERE t_s_firstyear.sale_type = 's' AND t_s_secyear.sale_type = 's' AND t_s_firstyear.dyear = 2002 AND t_s_secyear.dyear = 2002 + 1 AND t_s_firstyear.year_total > 0 AND CASE WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total ELSE NULL END > 1.0 ORDER BY t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name, t_s_secyear.customer_email_address LIMIT 100; | tpcds |
select c_preferred_cust_flag, c_first_name, c_last_name, cnt, c_salutation, ss_ticket_number from ( select ss_ticket_number, ss_customer_sk, count(*) as cnt from store_sales join date_dim on ss_sold_date_sk = d_date_sk join store on ss_store_sk = s_store_sk join household_demographics on ss_hdemo_sk = hd_demo_sk where (d_dom between 1 and 3 or d_dom between 25 and 28) and (hd_buy_potential = '>10000' or hd_buy_potential = 'Unknown') and hd_vehicle_count > 0 and (case when hd_vehicle_count > 0 then hd_dep_count / hd_vehicle_count else NULL end) > 1.57 and d_year in (2000, 2002, 2001) and s_county in ('Franklin County', 'Daviess County', 'Jackson County') group by ss_ticket_number, ss_customer_sk ) as dn join customer on ss_customer_sk = c_customer_sk where cnt between 15 and 20 order by c_last_name, c_first_name, c_salutation, cnt desc limit 100; | tpcds |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE ci.movie_id = mc.movie_id AND mc.note LIKE '%(Japan)%' AND an1.person_id = n1.id AND mc.note NOT LIKE '%(USA)%' AND ci.role_id = rt.id AND n1.id = ci.person_id AND n1.name LIKE '%Yo%' AND ci.movie_id = t.id AND cn.country_code = '[jp]' AND mc.company_id = cn.id AND an1.person_id = ci.person_id AND ci.note = '(voice: English version)' AND n1.name NOT LIKE '%Yu%' AND rt.role = 'actress' AND t.id = mc.movie_id LIMIT 500; | job |
SELECT AVG(ss_quantity), AVG(ss_ext_sales_price), AVG(ss_ext_wholesale_cost), SUM(ss_ext_wholesale_cost) FROM store_sales INNER JOIN store ON s_store_sk = ss_store_sk INNER JOIN customer_demographics ON cd_demo_sk = ss_cdemo_sk INNER JOIN household_demographics ON hd_demo_sk = ss_hdemo_sk INNER JOIN customer_address ON ca_address_sk = ss_addr_sk INNER JOIN date_dim ON d_date_sk = ss_sold_date_sk WHERE ( (cd_marital_status = 'S' AND cd_education_status = '2 yr Degree' AND ss_sales_price >= 90 AND ss_sales_price <= 128) OR (cd_marital_status = 'D' AND cd_education_status = 'Primary' AND ss_sales_price BETWEEN 81 AND 149) OR (cd_marital_status = 'W' AND cd_education_status = 'College' AND ss_sales_price BETWEEN 138 AND 187) ) AND ca_country = 'United States' AND d_year = 2001 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 s_market_id = 8 | tpcds |
select l_shipmode, sum( case when o_orderpriority <> '1-URGENT' and o_orderpriority <> '2-HIGH' then 1 else 0 end ) as low_line_count, sum( case when o_orderpriority = '1-URGENT' or o_orderpriority = '2-HIGH' then 1 else 0 end ) as high_line_count from orders, lineitem where l_receiptdate >= DATE 1 and l_shipmode in (1, 1) and l_commitdate < l_receiptdate and l_receiptdate < DATE 1 + INTERVAL '1' YEAR and o_orderkey = l_orderkey and l_shipdate < l_commitdate group by l_shipmode order by l_shipmode | tpch |
Select cc_call_center_id As call_center, cc_name As call_center_name, cc_manager As manager, Sum(cr_net_loss) As returns_loss From call_center Join catalog_returns On cr_call_center_sk = cc_call_center_sk Join date_dim On cr_returned_date_sk = d_date_sk Join customer On cr_returning_customer_sk = c_customer_sk Join customer_address On c_current_addr_sk = ca_address_sk Join customer_demographics On cr_returning_cdemo_sk = cd_demo_sk Join household_demographics On cr_returning_hdemo_sk = hd_demo_sk Where d_year = 1999 And ( (cd_marital_status = 'S' And cd_education_status = '4 yr Degree') Or (hd_buy_potential Like '1001-5000%' And ca_gmt_offset = -6) ) And d_moy = 12 And ca_gmt_offset = -6 Group By cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status Order By returns_loss Asc Limit 100; | tpcds |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE p.Id = ph.PostId AND pl.LinkTypeId = 1 AND p.Id = v.PostId AND p.Id = c.PostId AND p.Id = pl.PostId AND p.FavoriteCount >= 0 AND c.Score = 0 | stats |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE t.id = mk.movie_id AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German']) AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND k.keyword LIKE '%sequel%' AND t.production_year > 2010 AND t.id = mi.movie_id | job |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE cn.country_code = '[jp]' AND n1.name NOT LIKE '%Yu%' AND rt.role = 'actress' AND ci.movie_id = t.id AND mc.company_id = cn.id AND mc.note NOT LIKE '%(USA)%' AND ci.role_id = rt.id AND ci.note = '(voice: English version)' AND mc.note LIKE '%(Japan)%' AND an1.person_id = ci.person_id AND n1.name LIKE '%Yo%' AND n1.id = ci.person_id AND an1.person_id = n1.id AND ci.movie_id = mc.movie_id AND t.id = mc.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.id = mk.movie_id AND it.info = 'release dates' AND cn.id = mc.company_id AND lt.id = ml.link_type_id AND t.id = ml.movie_id AND t.production_year > 1950 AND k.id = mk.keyword_id AND lt.link LIKE '%follow%' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ct.id = mc.company_type_id AND cn.country_code = '[us]' AND t.id = mc.movie_id AND mi.info LIKE 'USA:% 199%' AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND mi.note LIKE '%internet%' AND ml.movie_id = mk.movie_id AND mi.movie_id = t.id AND ml.movie_id = mi.movie_id AND it.id = mi.info_type_id AND mc.note LIKE '%(USA)%' | job |
SELECT l_returnflag, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, AVG(l_quantity) AS avg_qty, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, AVG(l_discount) AS avg_disc, AVG(l_extendedprice) AS avg_price, SUM(l_quantity) AS sum_qty, l_linestatus, COUNT(*) AS count_order, SUM(l_extendedprice) AS sum_base_price FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
Select i_item_id, i_item_desc, i_current_price From item Inner Join inventory On i_item_sk = inv_item_sk Inner Join date_dim On d_date_sk = inv_date_sk Inner Join catalog_sales On cs_item_sk = i_item_sk Where d_date Between CAST('2001-07-13' As DATE) And (CAST('2001-07-13' As DATE) + INTERVAL '60 days') And inv_quantity_on_hand Between 100 And 500 And i_manufact_id In (211, 362, 413, 88) And i_current_price Between 77 And 77 + 30 Group By i_item_id, i_item_desc, i_current_price Order By i_item_id Limit 100; | tpcds |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE mi.info IN ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.production_year > 2010 AND k.keyword LIKE '%sequel%' AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id LIMIT 20; | job |
select p_size, p_brand, count(distinct ps_suppkey) as supplier_cnt, p_type from partsupp, part where 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 and p_brand <> 1 group by p_brand, p_type, p_size order by supplier_cnt desc, p_brand, p_type, p_size | tpch |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE cn.country_code = '[jp]' AND mc.note NOT LIKE '%(USA)%' AND rt.role = 'actress' AND ci.role_id = rt.id AND n1.id = ci.person_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND mc.note LIKE '%(Japan)%' AND n1.name NOT LIKE '%Yu%' AND t.id = mc.movie_id AND an1.person_id = n1.id AND an1.person_id = ci.person_id AND n1.name LIKE '%Yo%' AND ci.movie_id = t.id AND ci.note = '(voice: English version)' | job |
SELECT c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_comment FROM customer, orders, lineitem, nation WHERE c_nationkey = n_nationkey AND l_returnflag = 'R' AND o_orderdate >= DATE 1 AND c_custkey = o_custkey AND o_orderdate < DATE 1 + INTERVAL '3' MONTH AND l_orderkey = o_orderkey GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment FROM part, supplier, partsupp, nation, region WHERE n_regionkey = r_regionkey AND r_name = 1 AND s_suppkey = ps_suppkey AND p_size = 1 AND s_nationkey = n_nationkey AND p_partkey = ps_partkey AND p_type LIKE 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
WITH _q AS ( 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 t.id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND it2.id = mi_idx.info_type_id AND cn.id = mc.company_id AND k.id = mk.keyword_id AND t.id = mi.movie_id AND mc.note NOT LIKE '%(USA)%' AND k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND it1.id = mi.info_type_id AND cn.country_code != '[us]' AND mi_idx.info < '7.0' AND t.id = mk.movie_id AND it2.info = 'rating' AND mk.movie_id = mi.movie_id AND kt.id = t.kind_id AND it1.info = 'countries' AND mc.note LIKE '%(200%)%' AND t.production_year > 2008 AND mi.movie_id = mi_idx.movie_id AND kt.kind IN ('movie', 'episode') AND mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND mk.movie_id = mc.movie_id AND mi.info IN ('Germany', 'German', 'USA', 'American') ) SELECT * FROM _q; | job |
SELECT p_partkey, s_address, s_name, s_comment, n_name, s_acctbal, s_phone, p_mfgr FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT SUM(l_extendedprice * (1 - l_discount)) AS revenue, l_orderkey, o_shippriority, o_orderdate FROM customer, orders, lineitem WHERE c_mktsegment = 1 AND o_orderdate < DATE 1 AND l_shipdate > DATE 1 AND c_custkey = o_custkey AND l_orderkey = o_orderkey GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | 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(*) 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, 2002, 2003) AND s_county IN ('Bronz County', 'Daviess County', 'Maricopa County') AND hd_vehicle_count > 0 AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) AND (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') 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 MAX(k.keyword) AS movie_keyword, MAX(n.name) AS actor_name, MAX(t.title) AS marvel_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE n.id = ci.person_id AND t.id = ci.movie_id AND k.id = mk.keyword_id AND t.production_year > 2010 AND ci.movie_id = mk.movie_id AND k.keyword = 'marvel-cinematic-universe' AND t.id = mk.movie_id AND n.name LIKE '%Hemsworth%Chris%' LIMIT 50; | job |
SELECT c_count, COUNT(DISTINCT c_count) AS custdist FROM ( SELECT c_custkey, COUNT(o_orderkey) AS c_count FROM customer LEFT OUTER JOIN orders ON c_custkey = o_custkey AND o_comment NOT LIKE 1 GROUP BY c_custkey ) AS c_orders GROUP BY c_count ORDER BY custdist ASC, c_count ASC | tpch |
SELECT 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 (hd_buy_potential = '>10000' OR hd_buy_potential = 'Unknown') AND (CASE WHEN hd_vehicle_count > 0 THEN hd_dep_count / hd_vehicle_count ELSE NULL END) > 1.85 AND s_county IN ('Williamson County', 'Barrow County', 'Placer County') AND d_year IN (2001, 2000, 2002) AND (d_dom BETWEEN 1 AND 3 OR d_dom BETWEEN 25 AND 28) 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 n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE r_name = 1 AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND c_nationkey = s_nationkey AND o_orderdate >= DATE 1 AND l_suppkey = s_suppkey AND c_custkey = o_custkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE at.movie_id = mc.movie_id AND it1.info = 'rating' AND at.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND t.id = at.movie_id AND mi_idx.info < '3.5' AND t.id = mc.movie_id AND mi_idx.movie_id = mc.movie_id AND at.movie_id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND t.production_year > 2000 AND kt.id = t.kind_id AND it2.info = 'release dates' AND cn.id = mc.company_id AND kt.kind = 'movie' AND cn.country_code = '[us]' AND t.id = mi.movie_id AND at.title LIKE '%Champion%' AND it2.id = mi.info_type_id AND it1.id = mi_idx.info_type_id LIMIT 200; | job |
SELECT p_brand, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_type, p_size FROM partsupp, part WHERE p_partkey = ps_partkey AND p_brand <> 1 AND p_type NOT LIKE 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size; | 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 mi.info in ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') and k.id = mk.keyword_id and t.id = mi.movie_id and k.keyword like '%sequel%' and t.id = mk.movie_id and t.production_year > 2010 | job |
Select Count(1) From comments As c, posts As p, postLinks As pl, postHistory As ph, votes As v, users As u Where u.Id = p.OwnerUserId AND p.AnswerCount >= 0 AND p.Id = c.PostId AND p.Id = pl.PostId AND p.PostTypeId = 1 AND p.Id = ph.PostId AND p.Id = v.PostId | stats |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v, badges AS b WHERE pl.LinkTypeId = 1 AND b.UserId = c.UserId AND p.Id = v.PostId AND c.Score = 0 AND p.Id = c.PostId AND p.Id = ph.PostId AND p.Id = pl.RelatedPostId | stats |
SELECT MIN(t.title) AS russian_movie, MIN(chn.name) AS uncredited_voiced_character 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 '%(uncredited)%' AND rt.id = ci.role_id AND cn.country_code = '[ru]' AND chn.id = ci.person_role_id AND ci.movie_id = mc.movie_id AND rt.role = 'actor' AND ci.note LIKE '%(voice)%' AND cn.id = mc.company_id AND t.production_year > 2005 AND t.id = ci.movie_id AND ct.id = mc.company_type_id AND t.id = mc.movie_id LIMIT 200; | job |
SELECT SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_shippriority, o_orderdate, l_orderkey 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 l_orderkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, o_shippriority FROM customer, orders, lineitem WHERE l_shipdate > DATE 1 AND c_custkey = o_custkey AND c_mktsegment = 1 AND o_orderdate < DATE 1 AND l_orderkey = o_orderkey GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate; | tpch |
SELECT MIN(an1.name) AS actress_pseudonym, MIN(t.title) AS japanese_movie_dubbed FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t WHERE rt.role = 'actress' AND an1.person_id = ci.person_id AND n1.name NOT LIKE '%Yu%' AND n1.id = ci.person_id AND an1.person_id = n1.id AND t.id = mc.movie_id AND ci.role_id = rt.id AND cn.country_code = '[jp]' AND mc.company_id = cn.id AND mc.note NOT LIKE '%(USA)%' AND mc.note LIKE '%(Japan)%' AND ci.note = '(voice: English version)' AND ci.movie_id = t.id AND ci.movie_id = mc.movie_id AND n1.name LIKE '%Yo%' | job |
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 d1.d_moy BETWEEN 2 AND 8 AND d3.d_year = 2001 AND d2.d_moy BETWEEN 2 AND 8 + 3 AND d1.d_year = 2001 AND d3.d_moy BETWEEN 2 AND 8 + 3 AND d2.d_year = 2001 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT supp_nation, cust_nation, l_year, SUM(volume) AS revenue FROM ( SELECT n1.n_name AS supp_nation, n2.n_name AS cust_nation, EXTRACT(YEAR FROM l_shipdate) AS l_year, l_extendedprice * (1 - l_discount) AS volume FROM supplier, lineitem, orders, customer, nation n1, nation n2 WHERE c_custkey = o_custkey AND o_orderkey = l_orderkey AND s_nationkey = n1.n_nationkey AND c_nationkey = n2.n_nationkey AND s_suppkey = l_suppkey AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) AS shipping AND ( (n1.n_name = 1 AND n2.n_name = 1) OR (n1.n_name = 1 AND n2.n_name = 1) ) GROUP BY supp_nation, cust_nation, l_year ORDER BY supp_nation, cust_nation, l_year | tpch |
Select Min(t.title) As movie_title From company_name As cn, keyword As k, movie_companies As mc, movie_keyword As mk, title As t Where cn.country_code ='[nl]' And mc.movie_id = t.id And mc.movie_id = mk.movie_id And k.keyword ='character-name-In-title' And cn.id = mc.company_id And mk.keyword_id = k.id And t.id = mk.movie_id LIMIT 200; | job |
select sum(volume) as revenue, l_year, cust_nation, supp_nation from ( select n1.n_name as supp_nation, n2.n_name as cust_nation, EXTRACT(YEAR from l_shipdate) as l_year, l_extendedprice * (1 - l_discount) as volume from supplier, lineitem, orders, customer, nation n1, nation n2 where s_suppkey = l_suppkey AND c_custkey = o_custkey AND s_nationkey = n1.n_nationkey 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 l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' ) as shipping AND c_nationkey = n2.n_nationkey group by supp_nation, cust_nation, l_year order by supp_nation, cust_nation, l_year | tpch |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE it.id = mi.info_type_id AND lt.id = ml.link_type_id AND t.production_year > 1950 AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND ct.id = mc.company_type_id AND mi.note LIKE '%internet%' AND ml.movie_id = mi.movie_id AND k.id = mk.keyword_id AND t.id = mc.movie_id AND t.id = mk.movie_id AND mk.movie_id = mc.movie_id AND cn.country_code = '[us]' AND ml.movie_id = mk.movie_id AND it.info = 'release dates' AND ml.movie_id = mc.movie_id AND mi.info LIKE 'USA:% 199%' AND t.id = ml.movie_id AND cn.id = mc.company_id AND mc.note LIKE '%(USA)%' AND mi.movie_id = t.id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND lt.link LIKE '%follow%' | 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 o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND p_type = 1 ) AS all_nations AND c_nationkey = n1.n_nationkey AND r_name = 1 AND n1.n_regionkey = r_regionkey AND l_orderkey = o_orderkey AND p_partkey = l_partkey AND s_nationkey = n2.n_nationkey AND s_suppkey = l_suppkey AND o_custkey = c_custkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT n_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue FROM customer, orders, lineitem, supplier, nation, region WHERE c_nationkey = s_nationkey AND r_name = 1 AND o_orderdate >= DATE 1 AND l_suppkey = s_suppkey AND c_custkey = o_custkey AND s_nationkey = n_nationkey AND l_orderkey = o_orderkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND n_regionkey = r_regionkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT SUM(l_extendedprice * (1 - l_discount)) AS revenue, n_name FROM customer, orders, lineitem, supplier, nation, region WHERE c_nationkey = s_nationkey AND o_orderdate >= DATE 1 AND r_name = 1 AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND n_regionkey = r_regionkey AND o_orderdate < DATE 1 + INTERVAL '1' YEAR AND s_nationkey = n_nationkey AND l_suppkey = s_suppkey GROUP BY n_name ORDER BY revenue DESC | tpch |
SELECT s_name, COUNT(*) AS numwait FROM supplier, lineitem l1, orders, nation WHERE o_orderstatus = 'F' AND s_suppkey = l1.l_suppkey 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 l1.l_receiptdate > l1.l_commitdate AND n_name = 1 AND s_nationkey = n_nationkey GROUP BY s_name ORDER BY numwait DESC, s_name LIMIT 100 | 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.name LIKE '%Downey%Robert%' AND t.id = ci.movie_id AND k.keyword = 'marvel-cinematic-universe' AND ci.movie_id = mk.movie_id AND k.id = mk.keyword_id AND n.id = ci.person_id AND t.id = mk.movie_id AND t.production_year > 2010 LIMIT 200; | job |
SELECT l_orderkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, o_shippriority FROM customer, orders, lineitem WHERE l_orderkey = o_orderkey AND o_orderdate < DATE 1 AND c_mktsegment = 1 AND l_shipdate > DATE 1 AND c_custkey = o_custkey GROUP BY l_orderkey, o_orderdate, o_shippriority ORDER BY revenue DESC, o_orderdate LIMIT 10 | 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 t.id = mi.movie_id AND mc.movie_id = mi.movie_id AND it.id = mi.info_type_id AND ct.kind = 'production companies' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND it.info = 'bottom 10 rank' AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' LIMIT 50; | job |
SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS northamerican_movie FROM aka_title AS at, company_name AS cn, info_type AS it1, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE at.title LIKE '%Champion%' AND it2.info = 'release dates' AND cn.id = mc.company_id AND at.movie_id = mc.movie_id AND mi.movie_id = mc.movie_id AND t.id = at.movie_id AND mi_idx.movie_id = mc.movie_id AND t.id = mc.movie_id AND kt.kind = 'movie' AND it2.id = mi.info_type_id AND t.production_year > 2000 AND kt.id = t.kind_id AND it1.info = 'rating' AND t.id = mi_idx.movie_id AND cn.country_code = '[us]' AND mi.movie_id = mi_idx.movie_id AND mi.info LIKE 'USA:%200%' AND it1.id = mi_idx.info_type_id AND mi_idx.info < '3.5' AND t.id = mi.movie_id AND at.movie_id = mi_idx.movie_id AND at.movie_id = mi.movie_id | job |
SELECT MIN(mi.info) AS release_date, MIN(miidx.info) AS rating, MIN(t.title) AS german_movie FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE miidx.movie_id = t.id AND cn.country_code = '[de]' AND it2.info = 'release dates' AND miidx.movie_id = mc.movie_id AND mi.movie_id = t.id AND cn.id = mc.company_id AND ct.kind = 'production companies' AND it.info = 'rating' AND mi.movie_id = miidx.movie_id AND mc.movie_id = t.id AND ct.id = mc.company_type_id AND it.id = miidx.info_type_id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND kt.kind = 'movie' AND mi.movie_id = mc.movie_id | job |
SELECT c_custkey, c_name, SUM(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_comment FROM customer, orders, lineitem, nation WHERE o_orderdate >= DATE 1 AND c_custkey = o_custkey AND l_orderkey = o_orderkey AND c_nationkey = n_nationkey AND l_returnflag = 'R' AND o_orderdate < DATE 1 + INTERVAL '3' MONTH GROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment ORDER BY revenue DESC LIMIT 20 | tpch |
SELECT 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 r_name = 1 AND p_partkey = l_partkey AND l_orderkey = o_orderkey AND s_nationkey = n2.n_nationkey AND n1.n_regionkey = r_regionkey AND p_type = 1 ) AS all_nations AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31' AND s_suppkey = l_suppkey AND o_custkey = c_custkey AND c_nationkey = n1.n_nationkey GROUP BY o_year ORDER BY o_year | tpch |
SELECT COUNT(1) FROM postHistory AS ph, posts AS p, votes AS v, badges AS b, users AS u, comments AS c WHERE p.Id = v.PostId AND p.Score <= 192 AND u.Id = p.OwnerUserId AND u.Id = b.UserId AND p.Id = ph.PostId AND p.Id = c.PostId AND p.ViewCount >= 0 | stats |
SELECT SUM(l_quantity) AS sum_qty, AVG(l_discount) AS avg_disc, SUM(l_extendedprice) AS sum_base_price, AVG(l_quantity) AS avg_qty, l_linestatus, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_returnflag, COUNT(*) AS count_order FROM lineitem WHERE l_shipdate <= DATE '1998-12-01' - INTERVAL 1 DAY GROUP BY l_returnflag, l_linestatus ORDER BY l_returnflag, l_linestatus | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, users AS u WHERE c.CreationDate >= '2010-08-05 00:36:02'::timestamp AND p.FavoriteCount >= 0 AND p.ViewCount >= 0 AND p.CommentCount >= 0 AND u.Id = p.OwnerUserId AND c.UserId = u.Id | stats |
SELECT n_name, s_phone, s_acctbal, p_partkey, s_comment, p_mfgr, s_name, s_address FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT COUNT(*) FROM comments AS c, posts AS p, postLinks AS pl, postHistory AS ph, votes AS v WHERE c.Score = 0 AND p.FavoriteCount >= 0 AND p.Id = pl.PostId AND p.Id = v.PostId AND p.Id = c.PostId AND p.Id = ph.PostId AND pl.LinkTypeId = 1 LIMIT 200; | stats |
select sum(amount) as sum_profit, o_year, 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_nationkey = n_nationkey AND p_partkey = l_partkey AND p_name like 1 ) as profit AND ps_suppkey = l_suppkey AND o_orderkey = l_orderkey AND s_suppkey = l_suppkey group by nation, o_year order by nation, o_year ASC | tpch |
WITH _q AS ( SELECT p_brand, p_type, p_size, COUNT(DISTINCT ps_suppkey) AS supplier_cnt FROM partsupp, part WHERE p_size IN (1, 1, 1, 1, 1, 1, 1, 1) AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_brand <> 1 AND p_type NOT LIKE 1 AND p_partkey = ps_partkey GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size ) SELECT * FROM _q; | tpch |
SELECT AVG(l_discount) AS avg_disc, l_returnflag, SUM(l_quantity) AS sum_qty, SUM(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, SUM(l_extendedprice * (1 - l_discount)) AS sum_disc_price, l_linestatus, AVG(l_quantity) AS avg_qty, COUNT(*) AS count_order, AVG(l_extendedprice) AS avg_price, SUM(l_extendedprice) AS sum_base_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(t.title) AS biography_movie, MIN(n.name) AS of_person 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.person_id = n.id AND t.id = ci.movie_id AND lt.link = 'features' AND (n.gender = 'm' OR (n.gender = 'f' AND n.name LIKE 'B%')) AND ml.linked_movie_id = t.id AND pi.note = 'Volker Boehm' AND pi.person_id = ci.person_id AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND it.id = pi.info_type_id AND lt.id = ml.link_type_id AND it.info = 'mini biography' AND t.production_year BETWEEN 1980 AND 1995 AND an.name LIKE '%a%' AND ci.movie_id = ml.linked_movie_id AND n.id = pi.person_id AND an.person_id = ci.person_id AND pi.person_id = an.person_id AND n.id = an.person_id | job |
SELECT MIN(chn.name) AS uncredited_voiced_character, MIN(t.title) AS russian_movie FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE t.id = ci.movie_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND rt.role = 'actor' AND ci.movie_id = mc.movie_id AND cn.country_code = '[ru]' AND ci.note LIKE '%(voice)%' AND t.id = mc.movie_id AND chn.id = ci.person_role_id AND t.production_year > 2005 AND ci.note LIKE '%(uncredited)%' AND rt.id = ci.role_id | job |
SELECT w_state, SUM(CASE WHEN (CAST(d_date AS DATE) < CAST('2000-03-11' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash, 0) ELSE 0 END) AS sales_before, 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 d_date BETWEEN (CAST('2000-03-11' AS DATE) - INTERVAL '30 days') AND (CAST('2000-03-11' AS DATE) + INTERVAL '30 days') AND i_current_price BETWEEN 93.37 AND 93.37 + 1.49 GROUP BY w_state, i_item_id ORDER BY w_state, i_item_id LIMIT 100; | tpcds |
SELECT p_partkey, s_comment, n_name, s_address, s_phone, s_acctbal, s_name, p_mfgr FROM part, supplier, partsupp, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND p_size = 1 AND p_type LIKE 1 AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 AND ps_supplycost = ( SELECT MIN(ps_supplycost) FROM partsupp, supplier, nation, region WHERE p_partkey = ps_partkey AND s_suppkey = ps_suppkey AND s_nationkey = n_nationkey AND n_regionkey = r_regionkey AND r_name = 1 ) ORDER BY s_acctbal DESC, n_name, s_name, p_partkey LIMIT 100 | tpch |
SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.id = mk.keyword_id AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND mk.movie_id = mi.movie_id AND k.keyword LIKE '%sequel%' AND t.production_year > 2000 AND t.id = mi.movie_id AND t.id = mk.movie_id LIMIT 1000; | job |
SELECT SUM(ss_ext_sales_price) AS ext_price, item.i_brand_id AS brand_id, dt.d_year, item.i_brand AS brand 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 dt.d_year = 1999 AND dt.d_moy = 11 AND item.i_manager_id = 67 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 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 t.production_year > 2010 AND k.keyword like '%sequel%' AND mi.info in ('Sweden', 'Norway', 'Germany', 'Danish', 'Swedish', 'Danish', 'Norwegian', 'German') AND mk.movie_id = mi.movie_id AND t.id = mk.movie_id AND k.id = mk.keyword_id | job |
SELECT MIN(cn.name) AS from_company, MIN(lt.link) AS link_type, MIN(t.title) AS western_sequel FROM company_name AS cn, company_type AS ct, info_type AS it, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE it.info = 'release dates' AND ml.movie_id = mk.movie_id AND t.id = mc.movie_id AND t.id = ml.movie_id AND lt.id = ml.link_type_id AND cn.id = mc.company_id AND mi.note LIKE '%internet%' AND ml.movie_id = mi.movie_id AND k.keyword IN ('sequel', 'revenge', 'based-on-novel') AND ml.movie_id = mc.movie_id AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND mk.movie_id = mc.movie_id AND k.id = mk.keyword_id AND cn.country_code = '[us]' AND lt.link LIKE '%follow%' AND ct.id = mc.company_type_id AND t.id = mk.movie_id AND t.production_year > 1950 AND mi.movie_id = t.id AND it.id = mi.info_type_id AND mi.info LIKE 'USA:% 199%' AND mc.note LIKE '%(USA)%' | job |
SELECT total_revenue, s_phone, s_name, s_suppkey, s_address FROM supplier, revenue0 WHERE s_suppkey = supplier_no AND total_revenue = ( SELECT MIN(total_revenue) FROM revenue0 ) ORDER BY s_suppkey | 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.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mi_idx.movie_id AND ct.kind = 'production companies' AND t.id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND it.info = 'top 250 rank' AND it.id = mi_idx.info_type_id | job |
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_shipmode IN (1, 1) AND l_shipdate < l_commitdate AND l_commitdate < l_receiptdate AND l_receiptdate < DATE 1 + INTERVAL '1' YEAR AND l_receiptdate >= DATE 1 AND o_orderkey = l_orderkey GROUP BY l_shipmode ORDER BY l_shipmode | 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 it.id = mi_idx.info_type_id and t.id = mc.movie_id and mc.movie_id = mi_idx.movie_id and it.info = 'top 250 rank' and (mc.note like '%(co-production)%' or mc.note like '%(presents)%') and ct.kind = 'production companies' and mc.note not like '%(as Metro-Goldwyn-Mayer Pictures)%' and ct.id = mc.company_type_id and t.id = mi_idx.movie_id | job |
SELECT i_brand_id AS brand_id, i_manufact, i_manufact_id, i_brand AS brand, SUM(ss_ext_sales_price) AS ext_price 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 = 3 AND d_moy = 12 AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) AND d_year = 1999 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 MAX(cs_net_profit) AS catalog_sales_profit, s_store_name, i_item_id, MAX(ss_net_profit) AS store_sales_profit, i_item_desc, MAX(sr_net_loss) AS store_returns_loss, s_store_id FROM store_sales JOIN store_returns ON store_sales.ss_customer_sk = store_returns.sr_customer_sk AND store_sales.ss_item_sk = store_returns.sr_item_sk AND store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN catalog_sales ON store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk AND store_returns.sr_item_sk = catalog_sales.cs_item_sk JOIN date_dim AS d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim AS d2 ON store_returns.sr_returned_date_sk = d2.d_date_sk JOIN date_dim AS d3 ON catalog_sales.cs_sold_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk WHERE d1.d_moy BETWEEN 5 AND 4 AND d1.d_year = 2000 AND d2.d_moy BETWEEN 5 AND 4 + 3 AND d2.d_year = 2000 AND d3.d_moy BETWEEN 5 AND 4 + 3 AND d3.d_year = 2000 GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name ORDER BY i_item_id, i_item_desc, s_store_id, s_store_name LIMIT 100; | tpcds |
SELECT MAX(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 t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id AND t.production_year > 2000 AND k.keyword LIKE '%sequel%' AND mi.info = ANY(ARRAY['Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German']) | job |
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%') AND t.id = mc.movie_id AND ct.kind = 'production companies' AND it.info = 'top 250 rank' AND mc.movie_id = mi_idx.movie_id AND ct.id = mc.company_type_id AND t.id = mi_idx.movie_id AND it.id = mi_idx.info_type_id | job |
SELECT o_totalprice, o_orderkey, o_orderdate, c_name, c_custkey, SUM(l_quantity) FROM customer, orders, lineitem WHERE o_orderkey IN ( SELECT l_orderkey FROM lineitem GROUP BY l_orderkey HAVING SUM(l_quantity) > 1 ) AND c_custkey = o_custkey AND o_orderkey = l_orderkey GROUP BY c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice ORDER BY o_totalprice DESC, o_orderdate LIMIT 100 | tpch |
SELECT p_brand, COUNT(DISTINCT ps_suppkey) AS supplier_cnt, p_size, p_type FROM partsupp, part WHERE p_type NOT LIKE 1 AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' ) AND p_partkey = ps_partkey AND p_brand != 1 AND p_size IN (1, 1, 1, 1, 1, 1, 1, 1) GROUP BY p_brand, p_type, p_size ORDER BY supplier_cnt DESC, p_brand, p_type, p_size | tpch |
select 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.person_id = n.id and an.person_id = ci.person_id and pi.person_id = ci.person_id and n.id = an.person_id and lt.id = ml.link_type_id 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%')) and it.id = pi.info_type_id and t.production_year between 1980 and 1995 and it.info = 'mini biography' and n.name_pcode_cf between 'A' and 'F' and lt.link = 'features' and ci.movie_id = ml.linked_movie_id and pi.note = 'Volker Boehm' and n.id = pi.person_id and an.name like '%a%' and ml.linked_movie_id = t.id | job |
SELECT MIN(k.keyword) AS movie_keyword, MIN(t.title) AS marvel_movie, MIN(n.name) AS actor_name 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.id = mk.movie_id AND n.name LIKE '%Hemsworth%Chris%' AND ci.movie_id = mk.movie_id AND t.production_year > 2010 AND k.id = mk.keyword_id AND k.keyword = 'marvel-cinematic-universe' | job |
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