brief_instruction stringlengths 16 224 | instruction stringlengths 687 8.77k | output stringlengths 18 577 |
|---|---|---|
How many colors are never used by any product? |
-- Language PostgreSQL
-- Tables:
-- Table: reference characteristic types
columns : [['characteristic type code', 'text'], ['characteristic type description', 'text']]
-- Table: reference colors
columns : [['color code', 'text'], ['color description', 'text']]
-- Table: reference p... | SELECT count(*) FROM Ref_colors WHERE color_code NOT IN ( SELECT color_code FROM products ) |
Count the number of colors that are not used in any products. |
-- Language PostgreSQL
-- Tables:
-- Table: reference characteristic types
columns : [['characteristic type code', 'text'], ['characteristic type description', 'text']]
-- Table: reference colors
columns : [['color code', 'text'], ['color description', 'text']]
-- Table: reference p... | SELECT count(*) FROM Ref_colors WHERE color_code NOT IN ( SELECT color_code FROM products ) |
How many events are there? |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT count(*) FROM event |
List all the event names by year from the most recent to the oldest. |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT name FROM event ORDER BY YEAR DESC |
What is the name of the event that happened in the most recent year? |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT name FROM event ORDER BY YEAR DESC LIMIT 1 |
How many stadiums are there? |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT count(*) FROM stadium |
Find the name of the stadium that has the maximum capacity. |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT name FROM stadium ORDER BY capacity DESC LIMIT 1 |
Find the names of stadiums whose capacity is smaller than the average capacity. |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT name FROM stadium WHERE capacity < (SELECT avg(capacity) FROM stadium) |
Find the country that has the most stadiums. |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT country FROM stadium GROUP BY country ORDER BY count(*) DESC LIMIT 1 |
Which country has at most 3 stadiums listed? |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT country FROM stadium GROUP BY country HAVING count(*) <= 3 |
Which country has both stadiums with capacity greater than 60000 and stadiums with capacity less than 50000? |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT country FROM stadium WHERE capacity > 60000 INTERSECT SELECT country FROM stadium WHERE capacity < 50000 |
How many cities have a stadium that was opened before the year of 2006? |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT count(DISTINCT city) FROM stadium WHERE opening_year < 2006 |
How many stadiums does each country have? |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT country , count(*) FROM stadium GROUP BY country |
Which countries do not have a stadium that was opened after 2006? |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT country FROM stadium EXCEPT SELECT country FROM stadium WHERE opening_year > 2006 |
How many stadiums are not in country "Russia"? |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT count(*) FROM stadium WHERE country != 'Russia' |
Find the names of all swimmers, sorted by their 100 meter scores in ascending order. |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT name FROM swimmer ORDER BY meter_100 |
How many different countries are all the swimmers from? |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT count(DISTINCT nationality) FROM swimmer |
List countries that have more than one swimmer. |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT nationality , count(*) FROM swimmer GROUP BY nationality HAVING count(*) > 1 |
Find all 200 meter and 300 meter results of swimmers with nationality "Australia". |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT meter_200 , meter_300 FROM swimmer WHERE nationality = 'Australia' |
Find the names of swimmers who has a result of "win". |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id WHERE RESULT = 'Win' |
What is the name of the stadium which held the most events? |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT t1.name FROM stadium AS t1 JOIN event AS t2 ON t1.id = t2.stadium_id GROUP BY t2.stadium_id ORDER BY count(*) DESC LIMIT 1 |
Find the name and capacity of the stadium where the event named "World Junior" happened. |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT t1.name , t1.capacity FROM stadium AS t1 JOIN event AS t2 ON t1.id = t2.stadium_id WHERE t2.name = 'World Junior' |
Find the names of stadiums which have never had any event. |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT name FROM stadium WHERE id NOT IN (SELECT stadium_id FROM event) |
Find the name of the swimmer who has the most records. |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id GROUP BY t2.swimmer_id ORDER BY count(*) DESC LIMIT 1 |
Find the name of the swimmer who has at least 2 records. |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id GROUP BY t2.swimmer_id HAVING count(*) >= 2 |
Find the name and nationality of the swimmer who has won (i.e., has a result of "win") more than 1 time. |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT t1.name , t1.nationality FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id WHERE RESULT = 'Win' GROUP BY t2.swimmer_id HAVING count(*) > 1 |
Find the names of the swimmers who have no record. |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT name FROM swimmer WHERE id NOT IN (SELECT swimmer_id FROM record) |
Find the names of the swimmers who have both "win" and "loss" results in the record. |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id WHERE RESULT = 'Win' INTERSECT SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id WHERE RESULT = 'Loss' |
Find the names of stadiums that some Australian swimmers have been to. |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT t4.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id JOIN event AS t3 ON t2.event_id = t3.id JOIN stadium AS t4 ON t4.id = t3.stadium_id WHERE t1.nationality = 'Australia' |
Find the names of stadiums that the most swimmers have been to. |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT t3.name FROM record AS t1 JOIN event AS t2 ON t1.event_id = t2.id JOIN stadium AS t3 ON t3.id = t2.stadium_id GROUP BY t2.stadium_id ORDER BY count(*) DESC LIMIT 1 |
Find all details for each swimmer. |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT * FROM swimmer |
What is the average capacity of the stadiums that were opened in year 2005? |
-- Language PostgreSQL
-- Tables:
-- Table: swimmer
columns : [['id', 'number'], ['name', 'text'], ['nationality', 'text'], ['meter 100', 'number'], ['meter 200', 'text'], ['meter 300', 'text'], ['meter 400', 'text'], ['meter 500', 'text'], ['meter 600', 'text'], ['meter 700', 'text'], [... | SELECT avg(capacity) FROM stadium WHERE opening_year = 2005 |
How many railways are there? |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT count(*) FROM railway |
List the builders of railways in ascending alphabetical order. |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT Builder FROM railway ORDER BY Builder ASC |
List the wheels and locations of the railways. |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT Wheels , LOCATION FROM railway |
What is the maximum level of managers in countries that are not "Australia"? |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT max(LEVEL) FROM manager WHERE Country != "Australia " |
What is the average age for all managers? |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT avg(Age) FROM manager |
What are the names of managers in ascending order of level? |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT Name FROM manager ORDER BY LEVEL ASC |
What are the names and arrival times of trains? |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT Name , Arrival FROM train |
What is the name of the oldest manager? |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT Name FROM manager ORDER BY Age DESC LIMIT 1 |
Show the names of trains and locations of railways they are in. |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT T2.Name , T1.Location FROM railway AS T1 JOIN train AS T2 ON T1.Railway_ID = T2.Railway_ID |
Show the builder of railways associated with the trains named "Andaman Exp". |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT T1.Builder FROM railway AS T1 JOIN train AS T2 ON T1.Railway_ID = T2.Railway_ID WHERE T2.Name = "Andaman Exp" |
Show id and location of railways that are associated with more than one train. |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT T2.Railway_ID , T1.Location FROM railway AS T1 JOIN train AS T2 ON T1.Railway_ID = T2.Railway_ID GROUP BY T2.Railway_ID HAVING COUNT(*) > 1 |
Show the id and builder of the railway that are associated with the most trains. |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT T2.Railway_ID , T1.Builder FROM railway AS T1 JOIN train AS T2 ON T1.Railway_ID = T2.Railway_ID GROUP BY T2.Railway_ID ORDER BY COUNT(*) DESC LIMIT 1 |
Show different builders of railways, along with the corresponding number of railways using each builder. |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT Builder , COUNT(*) FROM railway GROUP BY Builder |
Show the most common builder of railways. |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT Builder FROM railway GROUP BY Builder ORDER BY COUNT(*) DESC LIMIT 1 |
Show different locations of railways along with the corresponding number of railways at each location. |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT LOCATION , COUNT(*) FROM railway GROUP BY LOCATION |
Show the locations that have more than one railways. |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT LOCATION FROM railway GROUP BY LOCATION HAVING COUNT(*) > 1 |
List the object number of railways that do not have any trains. |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT ObjectNumber FROM railway WHERE Railway_ID NOT IN (SELECT Railway_ID FROM train) |
Show the countries that have both managers of age above 50 and managers of age below 46. |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT Country FROM manager WHERE Age > 50 INTERSECT SELECT Country FROM manager WHERE Age < 46 |
Show the distinct countries of managers. |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT DISTINCT Country FROM manager |
Show the working years of managers in descending order of their level. |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT Working_year_starts FROM manager ORDER BY LEVEL DESC |
Show the countries that have managers of age above 50 or below 46. |
-- Language PostgreSQL
-- Tables:
-- Table: railway
columns : [['railway id', 'number'], ['railway', 'text'], ['builder', 'text'], ['built', 'text'], ['wheels', 'text'], ['location', 'text'], ['objectnumber', 'text']]
-- Table: train
columns : [['train id', 'number'], ['train num', 't... | SELECT Country FROM manager WHERE Age > 50 OR Age < 46 |
How many addresses are there in country USA? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: products
columns : [['product id', 'number'], ['... | SELECT count(*) FROM addresses WHERE country = 'USA' |
Show all distinct cities in the address record. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: products
columns : [['product id', 'number'], ['... | SELECT DISTINCT city FROM addresses |
Show each state and the number of addresses in each state. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: products
columns : [['product id', 'number'], ['... | SELECT state_province_county , count(*) FROM addresses GROUP BY state_province_county |
Show names and phones of customers who do not have address information. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: products
columns : [['product id', 'number'], ['... | SELECT customer_name , customer_phone FROM customers WHERE customer_id NOT IN (SELECT customer_id FROM customer_address_history) |
Show the name of the customer who has the most orders. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: products
columns : [['product id', 'number'], ['... | SELECT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) DESC LIMIT 1 |
Show the product type codes which have at least two products. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: products
columns : [['product id', 'number'], ['... | SELECT product_type_code FROM products GROUP BY product_type_code HAVING count(*) >= 2 |
Show the names of customers who have both an order in completed status and an order in part status. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: products
columns : [['product id', 'number'], ['... | SELECT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = 'Completed' INTERSECT SELECT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = 'Part' |
Show the name, phone, and payment method code for all customers in descending order of customer number. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: products
columns : [['product id', 'number'], ['... | SELECT customer_name , customer_phone , payment_method_code FROM customers ORDER BY customer_number DESC |
Show the product name and total order quantity for each product. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: products
columns : [['product id', 'number'], ['... | SELECT T1.product_name , sum(T2.order_quantity) FROM products AS T1 JOIN order_items AS T2 ON T1.product_id = T2.product_id GROUP BY T1.product_id |
Show the minimum, maximum, average price for all products. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: products
columns : [['product id', 'number'], ['... | SELECT min(product_price) , max(product_price) , avg(product_price) FROM products |
How many products have a price higher than the average? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: products
columns : [['product id', 'number'], ['... | SELECT count(*) FROM products WHERE product_price > (SELECT avg(product_price) FROM products) |
Show the customer name, customer address city, date from, and date to for each customer address history. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: products
columns : [['product id', 'number'], ['... | SELECT T2.customer_name , T3.city , T1.date_from , T1.date_to FROM customer_address_history AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id JOIN addresses AS T3 ON T1.address_id = T3.address_id |
Show the names of customers who use Credit Card payment method and have more than 2 orders. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: products
columns : [['product id', 'number'], ['... | SELECT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T1.payment_method_code = 'Credit Card' GROUP BY T1.customer_id HAVING count(*) > 2 |
What are the name and phone of the customer with the most ordered product quantity? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: products
columns : [['product id', 'number'], ['... | SELECT T1.customer_name , T1.customer_phone FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id JOIN order_items AS T3 ON T3.order_id = T2.order_id GROUP BY T1.customer_id ORDER BY sum(T3.order_quantity) DESC LIMIT 1 |
Show the product type and name for the products with price higher than 1000 or lower than 500. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: products
columns : [['product id', 'number'], ['... | SELECT product_type_code , product_name FROM products WHERE product_price > 1000 OR product_price < 500 |
Find the name of dorms only for female (F gender). |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT dorm_name FROM dorm WHERE gender = 'F' |
What are the names of the all-female dorms? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT dorm_name FROM dorm WHERE gender = 'F' |
Find the name of dorms that can accommodate more than 300 students. |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT dorm_name FROM dorm WHERE student_capacity > 300 |
What are the names of all the dorms that can accomdate more than 300 students? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT dorm_name FROM dorm WHERE student_capacity > 300 |
How many female students (sex is F) whose age is below 25? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT count(*) FROM student WHERE sex = 'F' AND age < 25 |
How many girl students who are younger than 25? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT count(*) FROM student WHERE sex = 'F' AND age < 25 |
Find the first name of students who is older than 20. |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT fname FROM student WHERE age > 20 |
What are the first names of all students who are older than 20? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT fname FROM student WHERE age > 20 |
Find the first name of students living in city PHL whose age is between 20 and 25. |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT fname FROM student WHERE city_code = 'PHL' AND age BETWEEN 20 AND 25 |
What is the first name of the students who are in age 20 to 25 and living in PHL city? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT fname FROM student WHERE city_code = 'PHL' AND age BETWEEN 20 AND 25 |
How many dorms are there? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT count(*) FROM dorm |
How many dorms are in the database? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT count(*) FROM dorm |
Find the number of distinct amenities. |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT count(*) FROM dorm_amenity |
How many diffrent dorm amenities are there? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT count(*) FROM dorm_amenity |
Find the total capacity of all dorms. |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT sum(student_capacity) FROM dorm |
What is the total student capacity of all dorms? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT sum(student_capacity) FROM dorm |
How many students are there? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT count(*) FROM student |
How many students exist? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT count(*) FROM student |
Find the average age of all students living in the each city. |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT avg(age) , city_code FROM student GROUP BY city_code |
What is the average age for each city and what are those cities? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT avg(age) , city_code FROM student GROUP BY city_code |
Find the average and total capacity of dorms for the students with gender X. |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT avg(student_capacity) , sum(student_capacity) FROM dorm WHERE gender = 'X' |
What is the average and total capacity for all dorms who are of gender X? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT avg(student_capacity) , sum(student_capacity) FROM dorm WHERE gender = 'X' |
Find the number of dorms that have some amenity. |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT count(DISTINCT dormid) FROM has_amenity |
How many dorms have amenities? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT count(DISTINCT dormid) FROM has_amenity |
Find the name of dorms that do not have any amenity |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT dorm_name FROM dorm WHERE dormid NOT IN (SELECT dormid FROM has_amenity) |
What are the names of all the dorms that don't have any amenities? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT dorm_name FROM dorm WHERE dormid NOT IN (SELECT dormid FROM has_amenity) |
Find the number of distinct gender for dorms. |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT count(DISTINCT gender) FROM dorm |
How many different genders are there in the dorms? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT count(DISTINCT gender) FROM dorm |
Find the capacity and gender type of the dorm whose name has substring ‘Donor’. |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT student_capacity , gender FROM dorm WHERE dorm_name LIKE '%Donor%' |
What is the student capacity and type of gender for the dorm whose name as the phrase Donor in it? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT student_capacity , gender FROM dorm WHERE dorm_name LIKE '%Donor%' |
Find the name and gender type of the dorms whose capacity is greater than 300 or less than 100. |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT dorm_name , gender FROM dorm WHERE student_capacity > 300 OR student_capacity < 100 |
What are the names and types of the dorms that have a capacity greater than 300 or less than 100? |
-- Language PostgreSQL
-- Tables:
-- Table: student
columns : [['student id', 'number'], ['last name', 'text'], ['first name', 'text'], ['age', 'number'], ['sex', 'text'], ['major', 'number'], ['advisor', 'number'], ['city code', 'text']]
-- Table: dorm
columns : [['dorm id', 'number'... | SELECT dorm_name , gender FROM dorm WHERE student_capacity > 300 OR student_capacity < 100 |
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