brief_instruction stringlengths 16 224 | instruction stringlengths 687 8.77k | output stringlengths 18 577 |
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Find the number of matches in different competitions. |
-- Language PostgreSQL
-- Tables:
-- Table: city
columns : [['city id', 'number'], ['city', 'text'], ['hanzi', 'text'], ['hanyu pinyin', 'text'], ['regional population', 'number'], ['gdp', 'number']]
-- Table: match
columns : [['match id', 'number'], ['date', 'text'], ['venue', 'text'... | SELECT count(*) , Competition FROM MATCH GROUP BY Competition |
For each competition, count the number of matches. |
-- Language PostgreSQL
-- Tables:
-- Table: city
columns : [['city id', 'number'], ['city', 'text'], ['hanzi', 'text'], ['hanyu pinyin', 'text'], ['regional population', 'number'], ['gdp', 'number']]
-- Table: match
columns : [['match id', 'number'], ['date', 'text'], ['venue', 'text'... | SELECT count(*) , Competition FROM MATCH GROUP BY Competition |
List venues of all matches in the order of their dates starting from the most recent one. |
-- Language PostgreSQL
-- Tables:
-- Table: city
columns : [['city id', 'number'], ['city', 'text'], ['hanzi', 'text'], ['hanyu pinyin', 'text'], ['regional population', 'number'], ['gdp', 'number']]
-- Table: match
columns : [['match id', 'number'], ['date', 'text'], ['venue', 'text'... | SELECT venue FROM MATCH ORDER BY date DESC |
What are the venues of all the matches? Sort them in the descending order of match date. |
-- Language PostgreSQL
-- Tables:
-- Table: city
columns : [['city id', 'number'], ['city', 'text'], ['hanzi', 'text'], ['hanyu pinyin', 'text'], ['regional population', 'number'], ['gdp', 'number']]
-- Table: match
columns : [['match id', 'number'], ['date', 'text'], ['venue', 'text'... | SELECT venue FROM MATCH ORDER BY date DESC |
what is the GDP of the city with the largest population. |
-- Language PostgreSQL
-- Tables:
-- Table: city
columns : [['city id', 'number'], ['city', 'text'], ['hanzi', 'text'], ['hanyu pinyin', 'text'], ['regional population', 'number'], ['gdp', 'number']]
-- Table: match
columns : [['match id', 'number'], ['date', 'text'], ['venue', 'text'... | SELECT gdp FROM city ORDER BY Regional_Population DESC LIMIT 1 |
Find the GDP of the city with the largest regional population. |
-- Language PostgreSQL
-- Tables:
-- Table: city
columns : [['city id', 'number'], ['city', 'text'], ['hanzi', 'text'], ['hanyu pinyin', 'text'], ['regional population', 'number'], ['gdp', 'number']]
-- Table: match
columns : [['match id', 'number'], ['date', 'text'], ['venue', 'text'... | SELECT gdp FROM city ORDER BY Regional_Population DESC LIMIT 1 |
What are the GDP and population of the city that already served as a host more than once? |
-- Language PostgreSQL
-- Tables:
-- Table: city
columns : [['city id', 'number'], ['city', 'text'], ['hanzi', 'text'], ['hanyu pinyin', 'text'], ['regional population', 'number'], ['gdp', 'number']]
-- Table: match
columns : [['match id', 'number'], ['date', 'text'], ['venue', 'text'... | SELECT t1.gdp , t1.Regional_Population FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city GROUP BY t2.Host_City HAVING count(*) > 1 |
Which cities have served as host cities more than once? Return me their GDP and population. |
-- Language PostgreSQL
-- Tables:
-- Table: city
columns : [['city id', 'number'], ['city', 'text'], ['hanzi', 'text'], ['hanyu pinyin', 'text'], ['regional population', 'number'], ['gdp', 'number']]
-- Table: match
columns : [['match id', 'number'], ['date', 'text'], ['venue', 'text'... | SELECT t1.gdp , t1.Regional_Population FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city GROUP BY t2.Host_City HAVING count(*) > 1 |
List every individual's first name, middle name and last name in alphabetical order by last name. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT individual_first_name , individual_middle_name , individual_last_name FROM individuals ORDER BY individual_last_name |
What are the first, middle, and last names of all individuals, ordered by last name? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT individual_first_name , individual_middle_name , individual_last_name FROM individuals ORDER BY individual_last_name |
List all the types of forms. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT DISTINCT form_type_code FROM forms |
What are the different types of forms? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT DISTINCT form_type_code FROM forms |
Find the name of the most popular party form. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT t1.form_name FROM forms AS t1 JOIN party_forms AS t2 ON t1.form_id = t2.form_id GROUP BY t2.form_id ORDER BY count(*) DESC LIMIT 1 |
What is the name of the party form that is most common? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT t1.form_name FROM forms AS t1 JOIN party_forms AS t2 ON t1.form_id = t2.form_id GROUP BY t2.form_id ORDER BY count(*) DESC LIMIT 1 |
Find the payment method and phone of the party with email "enrico09@example.com". |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT payment_method_code , party_phone FROM parties WHERE party_email = "enrico09@example.com" |
What is the payment method code and party phone of the party with the email 'enrico09@example.com'? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT payment_method_code , party_phone FROM parties WHERE party_email = "enrico09@example.com" |
Find the emails of parties with the most popular party form. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT t1.party_email FROM parties AS t1 JOIN party_forms AS t2 ON t1.party_id = t2.party_id WHERE t2.form_id = (SELECT form_id FROM party_forms GROUP BY form_id ORDER BY count(*) DESC LIMIT 1) |
What are the party emails associated with parties that used the party form that is the most common? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT t1.party_email FROM parties AS t1 JOIN party_forms AS t2 ON t1.party_id = t2.party_id WHERE t2.form_id = (SELECT form_id FROM party_forms GROUP BY form_id ORDER BY count(*) DESC LIMIT 1) |
List all the name of organizations in order of the date formed. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT organization_name FROM organizations ORDER BY date_formed ASC |
What are the names of organizations, ordered by the date they were formed, ascending? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT organization_name FROM organizations ORDER BY date_formed ASC |
Find the name of the youngest organization. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT organization_name FROM organizations ORDER BY date_formed DESC LIMIT 1 |
What is the name of the organization that was formed most recently? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT organization_name FROM organizations ORDER BY date_formed DESC LIMIT 1 |
Find the last name of the latest contact individual of the organization "Labour Party". |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT t3.individual_last_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id JOIN individuals AS t3 ON t2.individual_id = t3.individual_id WHERE t1.organization_name = "Labour Party" ORDER BY t2.date_contact_to DESC LIMIT 1 |
What is the last name of the contact individual from the Labour party organization who was contacted most recently? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT t3.individual_last_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id JOIN individuals AS t3 ON t2.individual_id = t3.individual_id WHERE t1.organization_name = "Labour Party" ORDER BY t2.date_contact_to DESC LIMIT 1 |
Find the last name of the first ever contact person of the organization with the highest UK Vat number. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT t3.individual_last_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id JOIN individuals AS t3 ON t2.individual_id = t3.individual_id WHERE t1.uk_vat_number = (SELECT max(uk_vat_number) FROM organizations) ORDER BY t2.date_contact_to ASC LIMIT... |
What is the last name of the first individual contacted from the organization with the maximum UK Vat number across all organizations? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT t3.individual_last_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id JOIN individuals AS t3 ON t2.individual_id = t3.individual_id WHERE t1.uk_vat_number = (SELECT max(uk_vat_number) FROM organizations) ORDER BY t2.date_contact_to ASC LIMIT... |
How many services are there? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT count(*) FROM services |
Count the number of services. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT count(*) FROM services |
Find name of the services that has never been used. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT service_name FROM services EXCEPT SELECT t1.service_name FROM services AS t1 JOIN party_services AS t2 ON t1.service_id = t2.service_id |
What are the names of the services that have never been used? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT service_name FROM services EXCEPT SELECT t1.service_name FROM services AS t1 JOIN party_services AS t2 ON t1.service_id = t2.service_id |
Find the name of all the cities and states. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT town_city FROM addresses UNION SELECT state_province_county FROM addresses |
What are the names of all cities and states? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT town_city FROM addresses UNION SELECT state_province_county FROM addresses |
How many cities are there in state "Colorado"? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT count(*) FROM addresses WHERE state_province_county = "Colorado" |
Count the number of cities in the state of Colorado. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT count(*) FROM addresses WHERE state_province_county = "Colorado" |
Find the payment method code used by more than 3 parties. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT payment_method_code FROM parties GROUP BY payment_method_code HAVING count(*) > 3 |
What are the payment method codes that have been used by more than 3 parties? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT payment_method_code FROM parties GROUP BY payment_method_code HAVING count(*) > 3 |
Find the name of organizations whose names contain "Party". |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT organization_name FROM organizations WHERE organization_name LIKE "%Party%" |
What are the names of organizations that contain the word "Party"? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT organization_name FROM organizations WHERE organization_name LIKE "%Party%" |
How many distinct payment methods are used by parties? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT count(DISTINCT payment_method_code) FROM parties |
Count the number of different payment method codes used by parties. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT count(DISTINCT payment_method_code) FROM parties |
Which is the email of the party that has used the services the most number of times? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT t1.party_email FROM parties AS t1 JOIN party_services AS t2 ON t1.party_id = t2.customer_id GROUP BY t1.party_email ORDER BY count(*) DESC LIMIT 1 |
Return the party email that has used party services the greatest number of times. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT t1.party_email FROM parties AS t1 JOIN party_services AS t2 ON t1.party_id = t2.customer_id GROUP BY t1.party_email ORDER BY count(*) DESC LIMIT 1 |
Which state can address "6862 Kaitlyn Knolls" possibly be in? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT state_province_county FROM addresses WHERE line_1_number_building LIKE "%6862 Kaitlyn Knolls%" |
Give the state corresponding to the line number building "6862 Kaitlyn Knolls". |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT state_province_county FROM addresses WHERE line_1_number_building LIKE "%6862 Kaitlyn Knolls%" |
What is the name of organization that has the greatest number of contact individuals? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT t1.organization_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id GROUP BY t1.organization_name ORDER BY count(*) DESC LIMIT 1 |
Return the name of the organization which has the most contact individuals. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT t1.organization_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id GROUP BY t1.organization_name ORDER BY count(*) DESC LIMIT 1 |
Find the last name of the individuals that have been contact individuals of an organization. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT DISTINCT t1.individual_last_name FROM individuals AS t1 JOIN organization_contact_individuals AS t2 ON t1.individual_id = t2.individual_id |
What are the last names of individuals who have been contact individuals for an organization? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['line 1 number building', 'text'], ['town city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text']]
-- Table: services
columns : [['service id', 'number'... | SELECT DISTINCT t1.individual_last_name FROM individuals AS t1 JOIN organization_contact_individuals AS t2 ON t1.individual_id = t2.individual_id |
How many drivers are there? |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT count(*) FROM driver |
Show the name, home city, and age for all drivers. |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT name , home_city , age FROM driver |
Show the party and the number of drivers in each party. |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT party , count(*) FROM driver GROUP BY party |
Show the name of drivers in descending order of age. |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT name FROM driver ORDER BY age DESC |
Show all different home cities. |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT DISTINCT home_city FROM driver |
Show the home city with the most number of drivers. |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT home_city FROM driver GROUP BY home_city ORDER BY count(*) DESC LIMIT 1 |
Show the party with drivers from Hartford and drivers older than 40. |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT party FROM driver WHERE home_city = 'Hartford' AND age > 40 |
Show home city where at least two drivers older than 40 are from. |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT home_city FROM driver WHERE age > 40 GROUP BY home_city HAVING count(*) >= 2 |
Show all home cities except for those having a driver older than 40. |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT home_city FROM driver EXCEPT SELECT home_city FROM driver WHERE age > 40 |
Show the names of the drivers without a school bus. |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT name FROM driver WHERE driver_id NOT IN (SELECT driver_id FROM school_bus) |
Show the types of schools that have two schools. |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT TYPE FROM school GROUP BY TYPE HAVING count(*) = 2 |
Show the school name and driver name for all school buses. |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT T2.school , T3.name FROM school_bus AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id JOIN driver AS T3 ON T1.driver_id = T3.driver_id |
What is the maximum, minimum and average years spent working on a school bus? |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT max(years_working) , min(years_working) , avg(years_working) FROM school_bus |
Show the school name and type for schools without a school bus. |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT school , TYPE FROM school WHERE school_id NOT IN (SELECT school_id FROM school_bus) |
Show the type of school and the number of buses for each type. |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT T2.type , count(*) FROM school_bus AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id GROUP BY T2.type |
How many drivers are from Hartford city or younger than 40? |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT count(*) FROM driver WHERE home_city = 'Hartford' OR age < 40 |
List names for drivers from Hartford city and younger than 40. |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT name FROM driver WHERE home_city = 'Hartford' AND age < 40 |
find the name of driver who is driving the school bus with the longest working history. |
-- Language PostgreSQL
-- Tables:
-- Table: driver
columns : [['driver id', 'number'], ['name', 'text'], ['party', 'text'], ['home city', 'text'], ['age', 'number']]
-- Table: school
columns : [['school id', 'number'], ['grade', 'text'], ['school', 'text'], ['location', 'text'], ['typ... | SELECT t1.name FROM driver AS t1 JOIN school_bus AS t2 ON t1.driver_id = t2.driver_id ORDER BY years_working DESC LIMIT 1 |
How many flights have a velocity larger than 200? |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT count(*) FROM flight WHERE velocity > 200 |
List the vehicle flight number, date and pilot of all the flights, ordered by altitude. |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT vehicle_flight_number , date , pilot FROM flight ORDER BY altitude ASC |
List the id, country, city and name of the airports ordered alphabetically by the name. |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT id , country , city , name FROM airport ORDER BY name |
What is maximum group equity shareholding of the companies? |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT max(group_equity_shareholding) FROM operate_company |
What is the velocity of the pilot named 'Thompson'? |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT avg(velocity) FROM flight WHERE pilot = 'Thompson' |
What are the names and types of the companies that have ever operated a flight? |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT T1.name , T1.type FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id |
What are the names of the airports which are not in the country 'Iceland'? |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT name FROM airport WHERE country != 'Iceland' |
What are the distinct types of the companies that have operated any flights with velocity less than 200? |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT DISTINCT T1.type FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id WHERE T2.velocity < 200 |
What are the ids and names of the companies that operated more than one flight? |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT T1.id , T1.name FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id GROUP BY T1.id HAVING count(*) > 1 |
What is the id, name and IATA code of the airport that had most number of flights? |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT T1.id , T1.name , T1.IATA FROM airport AS T1 JOIN flight AS T2 ON T1.id = T2.airport_id GROUP BY T2.id ORDER BY count(*) DESC LIMIT 1 |
What are the different pilot names who had piloted a flight in the country 'United States' or in the airport named 'Billund Airport'? |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT DISTINCT T2.pilot FROM airport AS T1 JOIN flight AS T2 ON T1.id = T2.airport_id WHERE T1.country = 'United States' OR T1.name = 'Billund Airport' |
What is the most common company type, and how many are there? |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT TYPE , count(*) FROM operate_company GROUP BY TYPE ORDER BY count(*) DESC LIMIT 1 |
How many airports haven't the pilot 'Thompson' driven an aircraft? |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT count(*) FROM airport WHERE id NOT IN ( SELECT airport_id FROM flight WHERE pilot = 'Thompson' ); |
List the name of the pilots who have flied for both a company that mainly provide 'Cargo' services and a company that runs 'Catering services' activities. |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT T2.pilot FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id WHERE T1.principal_activities = 'Cargo' INTERSECT SELECT T2.pilot FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id WHERE T1.principal_activities = 'Catering services' |
Which of the airport names contains the word 'international'? |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT name FROM airport WHERE name LIKE '%international%' |
How many companies operates airlines in each airport? |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT T3.id , count(*) FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id JOIN airport AS T3 ON T2.airport_id = T3.id GROUP BY T3.id |
how many airports are there in each country? |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT count(*) , country FROM airport GROUP BY country |
which countries have more than 2 airports? |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT country FROM airport GROUP BY country HAVING count(*) > 2 |
which pilot is in charge of the most number of flights? |
-- Language PostgreSQL
-- Tables:
-- Table: airport
columns : [['id', 'number'], ['city', 'text'], ['country', 'text'], ['iata', 'text'], ['icao', 'text'], ['name', 'text']]
-- Table: operate company
columns : [['id', 'number'], ['name', 'text'], ['type', 'text'], ['principal activiti... | SELECT pilot FROM flight GROUP BY pilot ORDER BY count(*) DESC LIMIT 1 |
How many accounts do we have? |
-- Language PostgreSQL
-- Tables:
-- Table: reference document types
columns : [['document type code', 'text'], ['document type name', 'text'], ['document type description', 'text']]
-- Table: reference budget codes
columns : [['budget type code', 'text'], ['budget type description', ... | SELECT count(*) FROM Accounts |
Count the number of accounts. |
-- Language PostgreSQL
-- Tables:
-- Table: reference document types
columns : [['document type code', 'text'], ['document type name', 'text'], ['document type description', 'text']]
-- Table: reference budget codes
columns : [['budget type code', 'text'], ['budget type description', ... | SELECT count(*) FROM Accounts |
Show all account ids and account details. |
-- Language PostgreSQL
-- Tables:
-- Table: reference document types
columns : [['document type code', 'text'], ['document type name', 'text'], ['document type description', 'text']]
-- Table: reference budget codes
columns : [['budget type code', 'text'], ['budget type description', ... | SELECT account_id , account_details FROM Accounts |
What are the ids and details of all accounts? |
-- Language PostgreSQL
-- Tables:
-- Table: reference document types
columns : [['document type code', 'text'], ['document type name', 'text'], ['document type description', 'text']]
-- Table: reference budget codes
columns : [['budget type code', 'text'], ['budget type description', ... | SELECT account_id , account_details FROM Accounts |
How many statements do we have? |
-- Language PostgreSQL
-- Tables:
-- Table: reference document types
columns : [['document type code', 'text'], ['document type name', 'text'], ['document type description', 'text']]
-- Table: reference budget codes
columns : [['budget type code', 'text'], ['budget type description', ... | SELECT count(*) FROM Statements |
Count the number of statements. |
-- Language PostgreSQL
-- Tables:
-- Table: reference document types
columns : [['document type code', 'text'], ['document type name', 'text'], ['document type description', 'text']]
-- Table: reference budget codes
columns : [['budget type code', 'text'], ['budget type description', ... | SELECT count(*) FROM Statements |
List all statement ids and statement details. |
-- Language PostgreSQL
-- Tables:
-- Table: reference document types
columns : [['document type code', 'text'], ['document type name', 'text'], ['document type description', 'text']]
-- Table: reference budget codes
columns : [['budget type code', 'text'], ['budget type description', ... | SELECT STATEMENT_ID , statement_details FROM Statements |
What are the ids and details of all statements? |
-- Language PostgreSQL
-- Tables:
-- Table: reference document types
columns : [['document type code', 'text'], ['document type name', 'text'], ['document type description', 'text']]
-- Table: reference budget codes
columns : [['budget type code', 'text'], ['budget type description', ... | SELECT STATEMENT_ID , statement_details FROM Statements |
Show statement id, statement detail, account detail for accounts. |
-- Language PostgreSQL
-- Tables:
-- Table: reference document types
columns : [['document type code', 'text'], ['document type name', 'text'], ['document type description', 'text']]
-- Table: reference budget codes
columns : [['budget type code', 'text'], ['budget type description', ... | SELECT T1.statement_id , T2.statement_details , T1.account_details FROM Accounts AS T1 JOIN Statements AS T2 ON T1.statement_id = T2.statement_id |
What are the statement ids, statement details, and account details, for all accounts? |
-- Language PostgreSQL
-- Tables:
-- Table: reference document types
columns : [['document type code', 'text'], ['document type name', 'text'], ['document type description', 'text']]
-- Table: reference budget codes
columns : [['budget type code', 'text'], ['budget type description', ... | SELECT T1.statement_id , T2.statement_details , T1.account_details FROM Accounts AS T1 JOIN Statements AS T2 ON T1.statement_id = T2.statement_id |
Show all statement id and the number of accounts for each statement. |
-- Language PostgreSQL
-- Tables:
-- Table: reference document types
columns : [['document type code', 'text'], ['document type name', 'text'], ['document type description', 'text']]
-- Table: reference budget codes
columns : [['budget type code', 'text'], ['budget type description', ... | SELECT STATEMENT_ID , count(*) FROM Accounts GROUP BY STATEMENT_ID |
What are the different statement ids on accounts, and the number of accounts for each? |
-- Language PostgreSQL
-- Tables:
-- Table: reference document types
columns : [['document type code', 'text'], ['document type name', 'text'], ['document type description', 'text']]
-- Table: reference budget codes
columns : [['budget type code', 'text'], ['budget type description', ... | SELECT STATEMENT_ID , count(*) FROM Accounts GROUP BY STATEMENT_ID |
Show the statement id and the statement detail for the statement with most number of accounts. |
-- Language PostgreSQL
-- Tables:
-- Table: reference document types
columns : [['document type code', 'text'], ['document type name', 'text'], ['document type description', 'text']]
-- Table: reference budget codes
columns : [['budget type code', 'text'], ['budget type description', ... | SELECT T1.statement_id , T2.statement_details FROM Accounts AS T1 JOIN Statements AS T2 ON T1.statement_id = T2.statement_id GROUP BY T1.statement_id ORDER BY count(*) DESC LIMIT 1 |
What are the statement id and statement detail for the statement that has the most corresponding accounts? |
-- Language PostgreSQL
-- Tables:
-- Table: reference document types
columns : [['document type code', 'text'], ['document type name', 'text'], ['document type description', 'text']]
-- Table: reference budget codes
columns : [['budget type code', 'text'], ['budget type description', ... | SELECT T1.statement_id , T2.statement_details FROM Accounts AS T1 JOIN Statements AS T2 ON T1.statement_id = T2.statement_id GROUP BY T1.statement_id ORDER BY count(*) DESC LIMIT 1 |
Show the number of documents. |
-- Language PostgreSQL
-- Tables:
-- Table: reference document types
columns : [['document type code', 'text'], ['document type name', 'text'], ['document type description', 'text']]
-- Table: reference budget codes
columns : [['budget type code', 'text'], ['budget type description', ... | SELECT count(*) FROM Documents |
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