PipableAI/spider-hardness · Datasets at Hugging Face

schema stringlengths 144 5.45k	question stringlengths 16 224	query stringlengths 18 577	hardness stringclasses 5 values
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);	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
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	How many main stream browsers whose market share is at least 5 exist?	SELECT count(*) FROM browser WHERE market_share >= 5	easy
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	List the name of browsers in descending order by market share.	SELECT name FROM browser ORDER BY market_share DESC	easy
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	List the ids, names and market shares of all browsers.	SELECT id , name , market_share FROM browser	medium
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	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
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	What is the id and market share of the browser Safari?	SELECT id , market_share FROM browser WHERE name = 'Safari'	medium
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	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
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	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
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	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
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	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
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	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
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	How many different kinds of clients are supported by the web clients accelerators?	SELECT count(DISTINCT client) FROM web_client_accelerator	easy
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	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
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	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
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	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
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	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
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	Which accelerator name contains substring "Opera"?	SELECT name FROM web_client_accelerator WHERE name LIKE "%Opera%"	medium
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	Find the number of web accelerators used for each Operating system.	SELECT Operating_system , count(*) FROM web_client_accelerator GROUP BY Operating_system	medium
CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);	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
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	How many wrestlers are there?	SELECT count(*) FROM wrestler	easy
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	Count the number of wrestlers.	SELECT count(*) FROM wrestler	easy
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	List the names of wrestlers in descending order of days held.	SELECT Name FROM wrestler ORDER BY Days_held DESC	easy
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	What are the names of the wrestlers, ordered descending by days held?	SELECT Name FROM wrestler ORDER BY Days_held DESC	easy
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	What is the name of the wrestler with the fewest days held?	SELECT Name FROM wrestler ORDER BY Days_held ASC LIMIT 1	medium
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	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
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	What are the distinct reigns of wrestlers whose location is not "Tokyo,Japan" ?	SELECT DISTINCT Reign FROM wrestler WHERE LOCATION != "Tokyo , Japan"	easy
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	Give the different reigns of wrestlers who are not located in Tokyo, Japan.	SELECT DISTINCT Reign FROM wrestler WHERE LOCATION != "Tokyo , Japan"	easy
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	What are the names and location of the wrestlers?	SELECT Name , LOCATION FROM wrestler	medium
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	Give the names and locations of all wrestlers.	SELECT Name , LOCATION FROM wrestler	medium
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	What are the elimination moves of wrestlers whose team is "Team Orton"?	SELECT Elimination_Move FROM Elimination WHERE Team = "Team Orton"	easy
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	Return the elimination movies of wrestlers on Team Orton.	SELECT Elimination_Move FROM Elimination WHERE Team = "Team Orton"	easy
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	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
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	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
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	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
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	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
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	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
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	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
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	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
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	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
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	Show different teams in eliminations and the number of eliminations from each team.	SELECT Team , COUNT(*) FROM elimination GROUP BY Team	medium
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	How many eliminations did each team have?	SELECT Team , COUNT(*) FROM elimination GROUP BY Team	medium
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	Show teams that have suffered more than three eliminations.	SELECT Team FROM elimination GROUP BY Team HAVING COUNT(*) > 3	easy
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	Which teams had more than 3 eliminations?	SELECT Team FROM elimination GROUP BY Team HAVING COUNT(*) > 3	easy
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	Show the reign and days held of wrestlers.	SELECT Reign , Days_held FROM wrestler	medium
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	What are the reigns and days held of all wrestlers?	SELECT Reign , Days_held FROM wrestler	medium
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	What are the names of wrestlers days held less than 100?	SELECT Name FROM wrestler WHERE Days_held < 100	easy
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	Return the names of wrestlers with fewer than 100 days held.	SELECT Name FROM wrestler WHERE Days_held < 100	easy
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	Please show the most common reigns of wrestlers.	SELECT Reign FROM wrestler GROUP BY Reign ORDER BY COUNT(*) DESC LIMIT 1	hard
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	Which reign is the most common among wrestlers?	SELECT Reign FROM wrestler GROUP BY Reign ORDER BY COUNT(*) DESC LIMIT 1	hard
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	List the locations that are shared by more than two wrestlers.	SELECT LOCATION FROM wrestler GROUP BY LOCATION HAVING COUNT(*) > 2	easy
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	Which locations are shared by more than two wrestlers?	SELECT LOCATION FROM wrestler GROUP BY LOCATION HAVING COUNT(*) > 2	easy
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	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
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	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
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	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
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	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
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	What is the number of distinct teams that suffer elimination?	SELECT COUNT (DISTINCT team) FROM elimination	easy
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	How many different teams have had eliminated wrestlers?	SELECT COUNT (DISTINCT team) FROM elimination	easy
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	Show the times of elimination by "Punk" or "Orton".	SELECT TIME FROM elimination WHERE Eliminated_By = "Punk" OR Eliminated_By = "Orton"	medium
CREATE TABLE wrestler (Wrestler_ID number, Name text, Reign text, Days_held text, Location text, Event text); CREATE TABLE Elimination (Elimination_ID text, Wrestler_ID text, Team text, Eliminated_By text, Elimination_Move text, Time text);	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
CREATE TABLE School (School_id text, School_name text, Location text, Mascot text, Enrollment number, IHSAA_Class text, IHSAA_Football_Class text, County text); CREATE TABLE budget (School_id number, Year number, Budgeted number, total_budget_percent_budgeted number, Invested number, total_budget_percent_invested number, Budget_invested_percent text); CREATE TABLE endowment (endowment_id number, School_id number, donator_name text, amount number);	How many schools are there?	SELECT count(*) FROM school	easy
CREATE TABLE School (School_id text, School_name text, Location text, Mascot text, Enrollment number, IHSAA_Class text, IHSAA_Football_Class text, County text); CREATE TABLE budget (School_id number, Year number, Budgeted number, total_budget_percent_budgeted number, Invested number, total_budget_percent_invested number, Budget_invested_percent text); CREATE TABLE endowment (endowment_id number, School_id number, donator_name text, amount number);	Count the number of schools.	SELECT count(*) FROM school	easy
CREATE TABLE School (School_id text, School_name text, Location text, Mascot text, Enrollment number, IHSAA_Class text, IHSAA_Football_Class text, County text); CREATE TABLE budget (School_id number, Year number, Budgeted number, total_budget_percent_budgeted number, Invested number, total_budget_percent_invested number, Budget_invested_percent text); CREATE TABLE endowment (endowment_id number, School_id number, donator_name text, amount number);	Show all school names in alphabetical order.	SELECT school_name FROM school ORDER BY school_name	easy
CREATE TABLE School (School_id text, School_name text, Location text, Mascot text, Enrollment number, IHSAA_Class text, IHSAA_Football_Class text, County text); CREATE TABLE budget (School_id number, Year number, Budgeted number, total_budget_percent_budgeted number, Invested number, total_budget_percent_invested number, Budget_invested_percent text); CREATE TABLE endowment (endowment_id number, School_id number, donator_name text, amount number);	List the name, location, mascot for all schools.	SELECT school_name , LOCATION , mascot FROM school	medium
CREATE TABLE School (School_id text, School_name text, Location text, Mascot text, Enrollment number, IHSAA_Class text, IHSAA_Football_Class text, County text); CREATE TABLE budget (School_id number, Year number, Budgeted number, total_budget_percent_budgeted number, Invested number, total_budget_percent_invested number, Budget_invested_percent text); CREATE TABLE endowment (endowment_id number, School_id number, donator_name text, amount number);	What are the total and average enrollment of all schools?	SELECT sum(enrollment) , avg(enrollment) FROM school	medium
CREATE TABLE School (School_id text, School_name text, Location text, Mascot text, Enrollment number, IHSAA_Class text, IHSAA_Football_Class text, County text); CREATE TABLE budget (School_id number, Year number, Budgeted number, total_budget_percent_budgeted number, Invested number, total_budget_percent_invested number, Budget_invested_percent text); CREATE TABLE endowment (endowment_id number, School_id number, donator_name text, amount number);	What are the mascots for schools with enrollments above the average?	SELECT mascot FROM school WHERE enrollment > (SELECT avg(enrollment) FROM school)	hard
CREATE TABLE School (School_id text, School_name text, Location text, Mascot text, Enrollment number, IHSAA_Class text, IHSAA_Football_Class text, County text); CREATE TABLE budget (School_id number, Year number, Budgeted number, total_budget_percent_budgeted number, Invested number, total_budget_percent_invested number, Budget_invested_percent text); CREATE TABLE endowment (endowment_id number, School_id number, donator_name text, amount number);	List the name of the school with the smallest enrollment.	SELECT school_name FROM school ORDER BY enrollment LIMIT 1	medium
CREATE TABLE School (School_id text, School_name text, Location text, Mascot text, Enrollment number, IHSAA_Class text, IHSAA_Football_Class text, County text); CREATE TABLE budget (School_id number, Year number, Budgeted number, total_budget_percent_budgeted number, Invested number, total_budget_percent_invested number, Budget_invested_percent text); CREATE TABLE endowment (endowment_id number, School_id number, donator_name text, amount number);	Show the average, maximum, minimum enrollment of all schools.	SELECT avg(enrollment) , max(enrollment) , min(enrollment) FROM school	medium
CREATE TABLE School (School_id text, School_name text, Location text, Mascot text, Enrollment number, IHSAA_Class text, IHSAA_Football_Class text, County text); CREATE TABLE budget (School_id number, Year number, Budgeted number, total_budget_percent_budgeted number, Invested number, total_budget_percent_invested number, Budget_invested_percent text); CREATE TABLE endowment (endowment_id number, School_id number, donator_name text, amount number);	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
CREATE TABLE School (School_id text, School_name text, Location text, Mascot text, Enrollment number, IHSAA_Class text, IHSAA_Football_Class text, County text); CREATE TABLE budget (School_id number, Year number, Budgeted number, total_budget_percent_budgeted number, Invested number, total_budget_percent_invested number, Budget_invested_percent text); CREATE TABLE endowment (endowment_id number, School_id number, donator_name text, amount number);	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
CREATE TABLE School (School_id text, School_name text, Location text, Mascot text, Enrollment number, IHSAA_Class text, IHSAA_Football_Class text, County text); CREATE TABLE budget (School_id number, Year number, Budgeted number, total_budget_percent_budgeted number, Invested number, total_budget_percent_invested number, Budget_invested_percent text); CREATE TABLE endowment (endowment_id number, School_id number, donator_name text, amount number);	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
CREATE TABLE School (School_id text, School_name text, Location text, Mascot text, Enrollment number, IHSAA_Class text, IHSAA_Football_Class text, County text); CREATE TABLE budget (School_id number, Year number, Budgeted number, total_budget_percent_budgeted number, Invested number, total_budget_percent_invested number, Budget_invested_percent text); CREATE TABLE endowment (endowment_id number, School_id number, donator_name text, amount number);	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
CREATE TABLE School (School_id text, School_name text, Location text, Mascot text, Enrollment number, IHSAA_Class text, IHSAA_Football_Class text, County text); CREATE TABLE budget (School_id number, Year number, Budgeted number, total_budget_percent_budgeted number, Invested number, total_budget_percent_invested number, Budget_invested_percent text); CREATE TABLE endowment (endowment_id number, School_id number, donator_name text, amount number);	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
CREATE TABLE School (School_id text, School_name text, Location text, Mascot text, Enrollment number, IHSAA_Class text, IHSAA_Football_Class text, County text); CREATE TABLE budget (School_id number, Year number, Budgeted number, total_budget_percent_budgeted number, Invested number, total_budget_percent_invested number, Budget_invested_percent text); CREATE TABLE endowment (endowment_id number, School_id number, donator_name text, amount number);	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
CREATE TABLE School (School_id text, School_name text, Location text, Mascot text, Enrollment number, IHSAA_Class text, IHSAA_Football_Class text, County text); CREATE TABLE budget (School_id number, Year number, Budgeted number, total_budget_percent_budgeted number, Invested number, total_budget_percent_invested number, Budget_invested_percent text); CREATE TABLE endowment (endowment_id number, School_id number, donator_name text, amount number);	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
CREATE TABLE School (School_id text, School_name text, Location text, Mascot text, Enrollment number, IHSAA_Class text, IHSAA_Football_Class text, County text); CREATE TABLE budget (School_id number, Year number, Budgeted number, total_budget_percent_budgeted number, Invested number, total_budget_percent_invested number, Budget_invested_percent text); CREATE TABLE endowment (endowment_id number, School_id number, donator_name text, amount number);	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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE ACCOUNTS (custid number, name text); CREATE TABLE SAVINGS (custid number, balance number); CREATE TABLE CHECKING (custid number, balance number);

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

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

How many main stream browsers whose market share is at least 5 exist?

SELECT count(*) FROM browser WHERE market_share >= 5

easy

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

List the name of browsers in descending order by market share.

SELECT name FROM browser ORDER BY market_share DESC

easy

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

List the ids, names and market shares of all browsers.

SELECT id , name , market_share FROM browser

medium

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

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

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

What is the id and market share of the browser Safari?

SELECT id , market_share FROM browser WHERE name = 'Safari'

medium

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

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

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

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

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

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

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

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

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

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

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

How many different kinds of clients are supported by the web clients accelerators?

SELECT count(DISTINCT client) FROM web_client_accelerator

easy

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

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

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

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

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

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

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

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

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

Which accelerator name contains substring "Opera"?

SELECT name FROM web_client_accelerator WHERE name LIKE "%Opera%"

medium

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

Find the number of web accelerators used for each Operating system.

SELECT Operating_system , count(*) FROM web_client_accelerator GROUP BY Operating_system

medium

CREATE TABLE Web_client_accelerator (id number, name text, Operating_system text, Client text, Connection text); CREATE TABLE browser (id number, name text, market_share number); CREATE TABLE accelerator_compatible_browser (accelerator_id number, browser_id number, compatible_since_year number);

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