Datasets:
target-benchmark
/
spider-queries

Dataset card Data Studio Files Community
3
query_id
int64
0
7k
database_id
stringclasses
140 values
table_id
listlengths
1
5
query
stringlengths
16
224
answer
stringlengths
18
577
difficulty
stringclasses
4 values
1,800
small_bank_1
[ "checking", "savings", "accounts" ]
Find the names and total checking and savings balances of accounts whose savings balance is higher than the average savings balance.
SELECT T1.name , T2.balance + T3.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid WHERE T3.balance > (SELECT avg(balance) FROM savings)
extra
1,801
small_bank_1
[ "checking", "savings", "accounts" ]
What are the names and sum of checking and savings balances for accounts with savings balances higher than the average savings balance?
SELECT T1.name , T2.balance + T3.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid WHERE T3.balance > (SELECT avg(balance) FROM savings)
extra
1,802
small_bank_1
[ "checking", "savings", "accounts" ]
Find the name and checking balance of the account with the lowest savings balance.
SELECT T1.name , T2.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid ORDER BY T3.balance LIMIT 1
extra
1,803
small_bank_1
[ "checking", "savings", "accounts" ]
What are the names and balances of checking accounts belonging to the customer with the lowest savings balance?
SELECT T1.name , T2.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid ORDER BY T3.balance LIMIT 1
extra
1,804
small_bank_1
[ "checking", "accounts" ]
Find the number of checking accounts for each account name.
SELECT count(*) , T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid GROUP BY T1.name
medium
1,805
small_bank_1
[ "checking", "accounts" ]
What are the names of customers with accounts, and how many checking accounts do each of them have?
SELECT count(*) , T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid GROUP BY T1.name
medium
1,806
small_bank_1
[ "savings", "accounts" ]
Find the total saving balance for each account name.
SELECT sum(T2.balance) , T1.name FROM accounts AS T1 JOIN savings AS T2 ON T1.custid = T2.custid GROUP BY T1.name
medium
1,807
small_bank_1
[ "savings", "accounts" ]
What are the names of customers with accounts, and what are the total savings balances for each?
SELECT sum(T2.balance) , T1.name FROM accounts AS T1 JOIN savings AS T2 ON T1.custid = T2.custid GROUP BY T1.name
medium
1,808
small_bank_1
[ "checking", "accounts" ]
Find the name of accounts whose checking balance is below the average checking balance.
SELECT T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T2.balance < (SELECT avg(balance) FROM checking)
extra
1,809
small_bank_1
[ "checking", "accounts" ]
What are the names of customers with checking balances lower than the average checking balance?
SELECT T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T2.balance < (SELECT avg(balance) FROM checking)
extra
1,810
small_bank_1
[ "checking", "savings", "accounts" ]
Find the saving balance of the account with the highest checking balance.
SELECT T3.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid ORDER BY T2.balance DESC LIMIT 1
extra
1,811
small_bank_1
[ "checking", "savings", "accounts" ]
What is the savings balance of the account belonging to the customer with the highest checking balance?
SELECT T3.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid ORDER BY T2.balance DESC LIMIT 1
extra
1,812
small_bank_1
[ "checking", "savings" ]
Find the total checking and saving balance of all accounts sorted by the total balance in ascending order.
SELECT T1.balance + T2.balance FROM checking AS T1 JOIN savings AS T2 ON T1.custid = T2.custid ORDER BY T1.balance + T2.balance
medium
1,813
small_bank_1
[ "checking", "savings" ]
What is the sum of checking and savings balances for all customers, ordered by the total balance?
SELECT T1.balance + T2.balance FROM checking AS T1 JOIN savings AS T2 ON T1.custid = T2.custid ORDER BY T1.balance + T2.balance
medium
1,814
small_bank_1
[ "checking", "savings", "accounts" ]
Find the name and checking balance of the account with the lowest saving balance.
SELECT T2.balance , T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid ORDER BY T3.balance LIMIT 1
extra
1,815
small_bank_1
[ "checking", "savings", "accounts" ]
What is the name and checking balance of the account which has the lowest savings balance?
SELECT T2.balance , T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid ORDER BY T3.balance LIMIT 1
extra
1,816
small_bank_1
[ "checking", "savings", "accounts" ]
Find the name, checking balance and saving balance of all accounts in the bank.
SELECT T2.balance , T3.balance , T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid
medium
1,817
small_bank_1
[ "checking", "savings", "accounts" ]
What are the names, checking balances, and savings balances for all customers?
SELECT T2.balance , T3.balance , T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid
medium
1,818
small_bank_1
[ "checking", "savings", "accounts" ]
Find the name, checking balance and savings balance of all accounts in the bank sorted by their total checking and savings balance in descending order.
SELECT T2.balance , T3.balance , T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid ORDER BY T2.balance + T3.balance DESC
hard
1,819
small_bank_1
[ "checking", "savings", "accounts" ]
What are the names, checking balances, and savings balances of customers, ordered by the total of checking and savings balances descending?
SELECT T2.balance , T3.balance , T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid ORDER BY T2.balance + T3.balance DESC
hard
1,820
small_bank_1
[ "checking", "savings", "accounts" ]
Find the name of accounts whose checking balance is higher than corresponding saving balance.
SELECT T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid WHERE T2.balance > T3.balance
hard
1,821
small_bank_1
[ "checking", "savings", "accounts" ]
What are the names of customers with a higher checking balance than savings balance?
SELECT T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid WHERE T2.balance > T3.balance
hard
1,822
small_bank_1
[ "checking", "savings", "accounts" ]
Find the name and total checking and savings balance of the accounts whose savings balance is lower than corresponding checking balance.
SELECT T1.name , T3.balance + T2.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid WHERE T3.balance < T2.balance
hard
1,823
small_bank_1
[ "checking", "savings", "accounts" ]
What are the names of customers who have a savings balance lower than their checking balance, and what is the total of their checking and savings balances?
SELECT T1.name , T3.balance + T2.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid WHERE T3.balance < T2.balance
hard
1,824
small_bank_1
[ "savings", "accounts" ]
Find the name and savings balance of the top 3 accounts with the highest saving balance sorted by savings balance in descending order.
SELECT T1.name , T2.balance FROM accounts AS T1 JOIN savings AS T2 ON T1.custid = T2.custid ORDER BY T2.balance DESC LIMIT 3
hard
1,825
small_bank_1
[ "savings", "accounts" ]
What are names and savings balances of the three accounts with the highest savings balances?
SELECT T1.name , T2.balance FROM accounts AS T1 JOIN savings AS T2 ON T1.custid = T2.custid ORDER BY T2.balance DESC LIMIT 3
hard
1,826
browser_web
[ "browser" ]
How many main stream browsers whose market share is at least 5 exist?
SELECT count(*) FROM browser WHERE market_share >= 5
easy
1,827
browser_web
[ "browser" ]
List the name of browsers in descending order by market share.
SELECT name FROM browser ORDER BY market_share DESC
easy
1,828
browser_web
[ "browser" ]
List the ids, names and market shares of all browsers.
SELECT id , name , market_share FROM browser
medium
1,829
browser_web
[ "browser" ]
What is the maximum, minimum and average market share of the listed browsers?
SELECT max(market_share) , min(market_share) , avg(market_share) FROM browser
medium
1,830
browser_web
[ "browser" ]
What is the id and market share of the browser Safari?
SELECT id , market_share FROM browser WHERE name = 'Safari'
medium
1,831
browser_web
[ "web_client_accelerator" ]
What are the name and os of web client accelerators that do not work with only a 'Broadband' type connection?
SELECT name , operating_system FROM web_client_accelerator WHERE CONNECTION != 'Broadband'
medium
1,832
browser_web
[ "browser", "accelerator_compatible_browser", "web_client_accelerator" ]
What is the name of the browser that became compatible with the accelerator 'CProxy' after year 1998 ?
SELECT T1.name FROM browser AS T1 JOIN accelerator_compatible_browser AS T2 ON T1.id = T2.browser_id JOIN web_client_accelerator AS T3 ON T2.accelerator_id = T3.id WHERE T3.name = 'CProxy' AND T2.compatible_since_year > 1998
hard
1,833
browser_web
[ "accelerator_compatible_browser", "web_client_accelerator" ]
What are the ids and names of the web accelerators that are compatible with two or more browsers?
SELECT T1.id , T1.Name FROM web_client_accelerator AS T1 JOIN accelerator_compatible_browser AS T2 ON T2.accelerator_id = T1.id GROUP BY T1.id HAVING count(*) >= 2
medium
1,834
browser_web
[ "browser", "accelerator_compatible_browser" ]
What is the id and name of the browser that is compatible with the most web accelerators?
SELECT T1.id , T1.name FROM browser AS T1 JOIN accelerator_compatible_browser AS T2 ON T1.id = T2.browser_id GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1
extra
1,835
browser_web
[ "browser", "accelerator_compatible_browser", "web_client_accelerator" ]
When did the web accelerator 'CACHEbox' and browser 'Internet Explorer' become compatible?
SELECT T1.compatible_since_year FROM accelerator_compatible_browser AS T1 JOIN browser AS T2 ON T1.browser_id = T2.id JOIN web_client_accelerator AS T3 ON T1.accelerator_id = T3.id WHERE T3.name = 'CACHEbox' AND T2.name = 'Internet Explorer'
hard
1,836
browser_web
[ "web_client_accelerator" ]
How many different kinds of clients are supported by the web clients accelerators?
SELECT count(DISTINCT client) FROM web_client_accelerator
easy
1,837
browser_web
[ "accelerator_compatible_browser", "web_client_accelerator" ]
How many accelerators are not compatible with the browsers listed ?
SELECT count(*) FROM web_client_accelerator WHERE id NOT IN ( SELECT accelerator_id FROM accelerator_compatible_browser );
extra
1,838
browser_web
[ "browser", "accelerator_compatible_browser", "web_client_accelerator" ]
What distinct accelerator names are compatible with the browswers that have market share higher than 15?
SELECT DISTINCT T1.name FROM web_client_accelerator AS T1 JOIN accelerator_compatible_browser AS T2 ON T2.accelerator_id = T1.id JOIN browser AS T3 ON T2.browser_id = T3.id WHERE T3.market_share > 15;
hard
1,839
browser_web
[ "browser", "accelerator_compatible_browser", "web_client_accelerator" ]
List the names of the browser that are compatible with both 'CACHEbox' and 'Fasterfox'.
SELECT T3.name FROM web_client_accelerator AS T1 JOIN accelerator_compatible_browser AS T2 ON T2.accelerator_id = T1.id JOIN browser AS T3 ON T2.browser_id = T3.id WHERE T1.name = 'CACHEbox' INTERSECT SELECT T3.name FROM web_client_accelerator AS T1 JOIN accelerator_compatible_browser AS T2 ON T2.accelerator_id = T1.id JOIN browser AS T3 ON T2.browser_id = T3.id WHERE T1.name = 'Fasterfox'
extra
1,840
browser_web
[ "browser", "accelerator_compatible_browser", "web_client_accelerator" ]
Show the accelerator names and supporting operating systems that are not compatible with the browser named 'Opera'.
SELECT name , operating_system FROM web_client_accelerator EXCEPT SELECT T1.name , T1.operating_system FROM web_client_accelerator AS T1 JOIN accelerator_compatible_browser AS T2 ON T2.accelerator_id = T1.id JOIN browser AS T3 ON T2.browser_id = T3.id WHERE T3.name = 'Opera'
extra
1,841
browser_web
[ "web_client_accelerator" ]
Which accelerator name contains substring "Opera"?
SELECT name FROM web_client_accelerator WHERE name LIKE "%Opera%"
medium
1,842
browser_web
[ "web_client_accelerator" ]
Find the number of web accelerators used for each Operating system.
SELECT Operating_system , count(*) FROM web_client_accelerator GROUP BY Operating_system
medium
1,843
browser_web
[ "browser", "accelerator_compatible_browser", "web_client_accelerator" ]
give me names of all compatible browsers and accelerators in the descending order of compatible year
SELECT T2.name , T3.name FROM accelerator_compatible_browser AS T1 JOIN browser AS T2 ON T1.browser_id = T2.id JOIN web_client_accelerator AS T3 ON T1.accelerator_id = T3.id ORDER BY T1.compatible_since_year DESC
hard
1,844
wrestler
[ "wrestler" ]
How many wrestlers are there?
SELECT count(*) FROM wrestler
easy
1,845
wrestler
[ "wrestler" ]
Count the number of wrestlers.
SELECT count(*) FROM wrestler
easy
1,846
wrestler
[ "wrestler" ]
List the names of wrestlers in descending order of days held.
SELECT Name FROM wrestler ORDER BY Days_held DESC
easy
1,847
wrestler
[ "wrestler" ]
What are the names of the wrestlers, ordered descending by days held?
SELECT Name FROM wrestler ORDER BY Days_held DESC
easy
1,848
wrestler
[ "wrestler" ]
What is the name of the wrestler with the fewest days held?
SELECT Name FROM wrestler ORDER BY Days_held ASC LIMIT 1
medium
1,849
wrestler
[ "wrestler" ]
Return the name of the wrestler who had the lowest number of days held.
SELECT Name FROM wrestler ORDER BY Days_held ASC LIMIT 1
medium
1,850
wrestler
[ "wrestler" ]
What are the distinct reigns of wrestlers whose location is not "Tokyo,Japan" ?
SELECT DISTINCT Reign FROM wrestler WHERE LOCATION != "Tokyo , Japan"
easy
1,851
wrestler
[ "wrestler" ]
Give the different reigns of wrestlers who are not located in Tokyo, Japan.
SELECT DISTINCT Reign FROM wrestler WHERE LOCATION != "Tokyo , Japan"
easy
1,852
wrestler
[ "wrestler" ]
What are the names and location of the wrestlers?
SELECT Name , LOCATION FROM wrestler
medium
1,853
wrestler
[ "wrestler" ]
Give the names and locations of all wrestlers.
SELECT Name , LOCATION FROM wrestler
medium
1,854
wrestler
[ "elimination" ]
What are the elimination moves of wrestlers whose team is "Team Orton"?
SELECT Elimination_Move FROM Elimination WHERE Team = "Team Orton"
easy
1,855
wrestler
[ "elimination" ]
Return the elimination movies of wrestlers on Team Orton.
SELECT Elimination_Move FROM Elimination WHERE Team = "Team Orton"
easy
1,856
wrestler
[ "wrestler", "elimination" ]
What are the names of wrestlers and the elimination moves?
SELECT T2.Name , T1.Elimination_Move FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID
medium
1,857
wrestler
[ "wrestler", "elimination" ]
Give the names of wrestlers and their elimination moves.
SELECT T2.Name , T1.Elimination_Move FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID
medium
1,858
wrestler
[ "wrestler", "elimination" ]
List the names of wrestlers and the teams in elimination in descending order of days held.
SELECT T2.Name , T1.Team FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID ORDER BY T2.Days_held DESC
medium
1,859
wrestler
[ "wrestler", "elimination" ]
What are the names of wrestlers and their teams in elimination, ordered descending by days held?
SELECT T2.Name , T1.Team FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID ORDER BY T2.Days_held DESC
medium
1,860
wrestler
[ "wrestler", "elimination" ]
List the time of elimination of the wrestlers with largest days held.
SELECT T1.Time FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID ORDER BY T2.Days_held DESC LIMIT 1
hard
1,861
wrestler
[ "wrestler", "elimination" ]
What is the time of elimination for the wrestler with the most days held?
SELECT T1.Time FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID ORDER BY T2.Days_held DESC LIMIT 1
hard
1,862
wrestler
[ "wrestler", "elimination" ]
Show times of elimination of wrestlers with days held more than 50.
SELECT T1.Time FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID WHERE T2.Days_held > 50
medium
1,863
wrestler
[ "wrestler", "elimination" ]
What are the times of elimination for wrestlers with over 50 days held?
SELECT T1.Time FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID WHERE T2.Days_held > 50
medium
1,864
wrestler
[ "elimination" ]
Show different teams in eliminations and the number of eliminations from each team.
SELECT Team , COUNT(*) FROM elimination GROUP BY Team
medium
1,865
wrestler
[ "elimination" ]
How many eliminations did each team have?
SELECT Team , COUNT(*) FROM elimination GROUP BY Team
medium
1,866
wrestler
[ "elimination" ]
Show teams that have suffered more than three eliminations.
SELECT Team FROM elimination GROUP BY Team HAVING COUNT(*) > 3
easy
1,867
wrestler
[ "elimination" ]
Which teams had more than 3 eliminations?
SELECT Team FROM elimination GROUP BY Team HAVING COUNT(*) > 3
easy
1,868
wrestler
[ "wrestler" ]
Show the reign and days held of wrestlers.
SELECT Reign , Days_held FROM wrestler
medium
1,869
wrestler
[ "wrestler" ]
What are the reigns and days held of all wrestlers?
SELECT Reign , Days_held FROM wrestler
medium
1,870
wrestler
[ "wrestler" ]
What are the names of wrestlers days held less than 100?
SELECT Name FROM wrestler WHERE Days_held < 100
easy
1,871
wrestler
[ "wrestler" ]
Return the names of wrestlers with fewer than 100 days held.
SELECT Name FROM wrestler WHERE Days_held < 100
easy
1,872
wrestler
[ "wrestler" ]
Please show the most common reigns of wrestlers.
SELECT Reign FROM wrestler GROUP BY Reign ORDER BY COUNT(*) DESC LIMIT 1
hard
1,873
wrestler
[ "wrestler" ]
Which reign is the most common among wrestlers?
SELECT Reign FROM wrestler GROUP BY Reign ORDER BY COUNT(*) DESC LIMIT 1
hard
1,874
wrestler
[ "wrestler" ]
List the locations that are shared by more than two wrestlers.
SELECT LOCATION FROM wrestler GROUP BY LOCATION HAVING COUNT(*) > 2
easy
1,875
wrestler
[ "wrestler" ]
Which locations are shared by more than two wrestlers?
SELECT LOCATION FROM wrestler GROUP BY LOCATION HAVING COUNT(*) > 2
easy
1,876
wrestler
[ "wrestler", "elimination" ]
List the names of wrestlers that have not been eliminated.
SELECT Name FROM wrestler WHERE Wrestler_ID NOT IN (SELECT Wrestler_ID FROM elimination)
hard
1,877
wrestler
[ "wrestler", "elimination" ]
What are the names of wrestlers who have never been eliminated?
SELECT Name FROM wrestler WHERE Wrestler_ID NOT IN (SELECT Wrestler_ID FROM elimination)
hard
1,878
wrestler
[ "elimination" ]
Show the teams that have both wrestlers eliminated by "Orton" and wrestlers eliminated by "Benjamin".
SELECT Team FROM Elimination WHERE Eliminated_By = "Orton" INTERSECT SELECT Team FROM Elimination WHERE Eliminated_By = "Benjamin"
hard
1,879
wrestler
[ "elimination" ]
What are the teams that have both wrestlers eliminated by Orton and wrestlers eliminated by Benjamin?
SELECT Team FROM Elimination WHERE Eliminated_By = "Orton" INTERSECT SELECT Team FROM Elimination WHERE Eliminated_By = "Benjamin"
hard
1,880
wrestler
[ "elimination" ]
What is the number of distinct teams that suffer elimination?
SELECT COUNT (DISTINCT team) FROM elimination
easy
1,881
wrestler
[ "elimination" ]
How many different teams have had eliminated wrestlers?
SELECT COUNT (DISTINCT team) FROM elimination
easy
1,882
wrestler
[ "elimination" ]
Show the times of elimination by "Punk" or "Orton".
SELECT TIME FROM elimination WHERE Eliminated_By = "Punk" OR Eliminated_By = "Orton"
medium
1,883
wrestler
[ "elimination" ]
What are the times of elimination for any instances in which the elimination was done by Punk or Orton?
SELECT TIME FROM elimination WHERE Eliminated_By = "Punk" OR Eliminated_By = "Orton"
medium
1,884
school_finance
[ "school" ]
How many schools are there?
SELECT count(*) FROM school
easy
1,885
school_finance
[ "school" ]
Count the number of schools.
SELECT count(*) FROM school
easy
1,886
school_finance
[ "school" ]
Show all school names in alphabetical order.
SELECT school_name FROM school ORDER BY school_name
easy
1,887
school_finance
[ "school" ]
List the name, location, mascot for all schools.
SELECT school_name , LOCATION , mascot FROM school
medium
1,888
school_finance
[ "school" ]
What are the total and average enrollment of all schools?
SELECT sum(enrollment) , avg(enrollment) FROM school
medium
1,889
school_finance
[ "school" ]
What are the mascots for schools with enrollments above the average?
SELECT mascot FROM school WHERE enrollment > (SELECT avg(enrollment) FROM school)
hard
1,890
school_finance
[ "school" ]
List the name of the school with the smallest enrollment.
SELECT school_name FROM school ORDER BY enrollment LIMIT 1
medium
1,891
school_finance
[ "school" ]
Show the average, maximum, minimum enrollment of all schools.
SELECT avg(enrollment) , max(enrollment) , min(enrollment) FROM school
medium
1,892
school_finance
[ "school" ]
Show each county along with the number of schools and total enrollment in each county.
SELECT county , count(*) , sum(enrollment) FROM school GROUP BY county
medium
1,893
school_finance
[ "endowment", "school" ]
How many donors have endowment for school named "Glenn"?
SELECT count(DISTINCT T1.donator_name) FROM endowment AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id WHERE T2.school_name = "Glenn"
medium
1,894
school_finance
[ "endowment" ]
List each donator name and the amount of endowment in descending order of the amount of endowment.
SELECT donator_name , sum(amount) FROM endowment GROUP BY donator_name ORDER BY sum(amount) DESC
extra
1,895
school_finance
[ "endowment", "school" ]
List the names of the schools without any endowment.
SELECT school_name FROM school WHERE school_id NOT IN (SELECT school_id FROM endowment)
hard
1,896
school_finance
[ "endowment", "school" ]
List all the names of schools with an endowment amount smaller than or equal to 10.
SELECT T2.school_name FROM endowment AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id GROUP BY T1.school_id HAVING sum(T1.amount) <= 10
medium
1,897
school_finance
[ "endowment", "school" ]
Show the names of donors who donated to both school "Glenn" and "Triton."
SELECT T1.donator_name FROM endowment AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id WHERE T2.school_name = 'Glenn' INTERSECT SELECT T1.donator_name FROM endowment AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id WHERE T2.school_name = 'Triton'
extra
1,898
school_finance
[ "endowment" ]
Show the names of all the donors except those whose donation amount less than 9.
SELECT donator_name FROM endowment EXCEPT SELECT donator_name FROM endowment WHERE amount < 9
hard
1,899
school_finance
[ "endowment" ]
List the amount and donor name for the largest amount of donation.
SELECT amount , donator_name FROM endowment ORDER BY amount DESC LIMIT 1
medium