db_id stringclasses 146
values | question stringlengths 3 224 | sql stringlengths 18 577 | database_schema stringclasses 146
values |
|---|---|---|---|
city_record | Find the number of matches in different competitions. | SELECT count(*) , Competition FROM MATCH GROUP BY Competition | CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
3 rows from city table:
City_ID City Hanzi Hanyu_Pinyin Regional_Population GDP
1 Shanghai 上海 Shànghǎi 2301... |
city_record | For each competition, count the number of matches. | SELECT count(*) , Competition FROM MATCH GROUP BY Competition | CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
3 rows from city table:
City_ID City Hanzi Hanyu_Pinyin Regional_Population GDP
1 Shanghai 上海 Shànghǎi 2301... |
city_record | List venues of all matches in the order of their dates starting from the most recent one. | SELECT venue FROM MATCH ORDER BY date DESC | CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
3 rows from city table:
City_ID City Hanzi Hanyu_Pinyin Regional_Population GDP
1 Shanghai 上海 Shànghǎi 2301... |
city_record | What are the venues of all the matches? Sort them in the descending order of match date. | SELECT venue FROM MATCH ORDER BY date DESC | CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
3 rows from city table:
City_ID City Hanzi Hanyu_Pinyin Regional_Population GDP
1 Shanghai 上海 Shànghǎi 2301... |
city_record | what is the GDP of the city with the largest population. | SELECT gdp FROM city ORDER BY Regional_Population DESC LIMIT 1 | CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
3 rows from city table:
City_ID City Hanzi Hanyu_Pinyin Regional_Population GDP
1 Shanghai 上海 Shànghǎi 2301... |
city_record | Find the GDP of the city with the largest regional population. | SELECT gdp FROM city ORDER BY Regional_Population DESC LIMIT 1 | CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
3 rows from city table:
City_ID City Hanzi Hanyu_Pinyin Regional_Population GDP
1 Shanghai 上海 Shànghǎi 2301... |
city_record | What are the GDP and population of the city that already served as a host more than once? | 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 | CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
3 rows from city table:
City_ID City Hanzi Hanyu_Pinyin Regional_Population GDP
1 Shanghai 上海 Shànghǎi 2301... |
city_record | Which cities have served as host cities more than once? Return me their GDP and population. | 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 | CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
3 rows from city table:
City_ID City Hanzi Hanyu_Pinyin Regional_Population GDP
1 Shanghai 上海 Shànghǎi 2301... |
e_government | List every individual's first name, middle name and last name in alphabetical order by last name. | SELECT individual_first_name , individual_middle_name , individual_last_name FROM individuals ORDER BY individual_last_name | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | What are the first, middle, and last names of all individuals, ordered by last name? | SELECT individual_first_name , individual_middle_name , individual_last_name FROM individuals ORDER BY individual_last_name | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | List all the types of forms. | SELECT DISTINCT form_type_code FROM forms | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | What are the different types of forms? | SELECT DISTINCT form_type_code FROM forms | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Find the name of the most popular party form. | 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 | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | What is the name of the party form that is most common? | 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 | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Find the payment method and phone of the party with email "enrico09@example.com". | SELECT payment_method_code , party_phone FROM parties WHERE party_email = "enrico09@example.com" | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | What is the payment method code and party phone of the party with the email 'enrico09@example.com'? | SELECT payment_method_code , party_phone FROM parties WHERE party_email = "enrico09@example.com" | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Find the emails of parties with the most popular party form. | 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) | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | What are the party emails associated with parties that used the party form that is the most common? | 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) | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | List all the name of organizations in order of the date formed. | SELECT organization_name FROM organizations ORDER BY date_formed ASC | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | What are the names of organizations, ordered by the date they were formed, ascending? | SELECT organization_name FROM organizations ORDER BY date_formed ASC | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Find the name of the youngest organization. | SELECT organization_name FROM organizations ORDER BY date_formed DESC LIMIT 1 | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | What is the name of the organization that was formed most recently? | SELECT organization_name FROM organizations ORDER BY date_formed DESC LIMIT 1 | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Find the last name of the latest contact individual of the organization "Labour Party". | 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 | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | What is the last name of the contact individual from the Labour party organization who was contacted most recently? | 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 | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Find the last name of the first ever contact person of the organization with the highest UK Vat 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... | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | What is the last name of the first individual contacted from the organization with the maximum UK Vat number across all organizations? | 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... | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | How many services are there? | SELECT count(*) FROM services | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Count the number of services. | SELECT count(*) FROM services | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Find name of the services that has never been used. | 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 | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | What are the names of the services that have never been used? | 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 | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Find the name of all the cities and states. | SELECT town_city FROM addresses UNION SELECT state_province_county FROM addresses | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | What are the names of all cities and states? | SELECT town_city FROM addresses UNION SELECT state_province_county FROM addresses | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | How many cities are there in state "Colorado"? | SELECT count(*) FROM addresses WHERE state_province_county = "Colorado" | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Count the number of cities in the state of Colorado. | SELECT count(*) FROM addresses WHERE state_province_county = "Colorado" | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Find the payment method code used by more than 3 parties. | SELECT payment_method_code FROM parties GROUP BY payment_method_code HAVING count(*) > 3 | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | What are the payment method codes that have been used by more than 3 parties? | SELECT payment_method_code FROM parties GROUP BY payment_method_code HAVING count(*) > 3 | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Find the name of organizations whose names contain "Party". | SELECT organization_name FROM organizations WHERE organization_name LIKE "%Party%" | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | What are the names of organizations that contain the word "Party"? | SELECT organization_name FROM organizations WHERE organization_name LIKE "%Party%" | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | How many distinct payment methods are used by parties? | SELECT count(DISTINCT payment_method_code) FROM parties | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Count the number of different payment method codes used by parties. | SELECT count(DISTINCT payment_method_code) FROM parties | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Which is the email of the party that has used the services the most number of times? | 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 | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Return the party email that has used party services the greatest number of times. | 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 | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Which state can address "6862 Kaitlyn Knolls" possibly be in? | SELECT state_province_county FROM addresses WHERE line_1_number_building LIKE "%6862 Kaitlyn Knolls%" | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Give the state corresponding to the line number building "6862 Kaitlyn Knolls". | SELECT state_province_county FROM addresses WHERE line_1_number_building LIKE "%6862 Kaitlyn Knolls%" | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | What is the name of organization that has the greatest number of contact individuals? | 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 | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Return the name of the organization which has the most contact individuals. | 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 | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | Find the last name of the individuals that have been contact individuals of an organization. | SELECT DISTINCT t1.individual_last_name FROM individuals AS t1 JOIN organization_contact_individuals AS t2 ON t1.individual_id = t2.individual_id | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
e_government | What are the last names of individuals who have been contact individuals for an organization? | SELECT DISTINCT t1.individual_last_name FROM individuals AS t1 JOIN organization_contact_individuals AS t2 ON t1.individual_id = t2.individual_id | CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
3 rows from Addresses table:
address_id line_1_number_building town_city zip_postcode state_provin... |
school_bus | How many drivers are there? | SELECT count(*) FROM driver | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | Show the name, home city, and age for all drivers. | SELECT name , home_city , age FROM driver | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | Show the party and the number of drivers in each party. | SELECT party , count(*) FROM driver GROUP BY party | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | Show the name of drivers in descending order of age. | SELECT name FROM driver ORDER BY age DESC | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | Show all different home cities. | SELECT DISTINCT home_city FROM driver | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | Show the home city with the most number of drivers. | SELECT home_city FROM driver GROUP BY home_city ORDER BY count(*) DESC LIMIT 1 | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | Show the party with drivers from Hartford and drivers older than 40. | SELECT party FROM driver WHERE home_city = 'Hartford' AND age > 40 | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | Show home city where at least two drivers older than 40 are from. | SELECT home_city FROM driver WHERE age > 40 GROUP BY home_city HAVING count(*) >= 2 | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | Show all home cities except for those having a driver older than 40. | SELECT home_city FROM driver EXCEPT SELECT home_city FROM driver WHERE age > 40 | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | Show the names of the drivers without a school bus. | SELECT name FROM driver WHERE driver_id NOT IN (SELECT driver_id FROM school_bus) | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | Show the types of schools that have two schools. | SELECT TYPE FROM school GROUP BY TYPE HAVING count(*) = 2 | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | Show the school name and driver name for all school buses. | 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 | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | What is the maximum, minimum and average years spent working on a school bus? | SELECT max(years_working) , min(years_working) , avg(years_working) FROM school_bus | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | Show the school name and type for schools without a school bus. | SELECT school , TYPE FROM school WHERE school_id NOT IN (SELECT school_id FROM school_bus) | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | Show the type of school and the number of buses for each type. | SELECT T2.type , count(*) FROM school_bus AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id GROUP BY T2.type | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | How many drivers are from Hartford city or younger than 40? | SELECT count(*) FROM driver WHERE home_city = 'Hartford' OR age < 40 | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | List names for drivers from Hartford city and younger than 40. | SELECT name FROM driver WHERE home_city = 'Hartford' AND age < 40 | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
school_bus | find the name of driver who is driving the school bus with the longest working history. | 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 | CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
3 rows from driver table:
Driver_ID Name Party Home_city Age
1 Matthew Ritter Dem Hartford 40
2 Dan Carter Rep Bethel 30
3 Minnie Gonzal... |
flight_company | How many flights have a velocity larger than 200? | SELECT count(*) FROM flight WHERE velocity > 200 | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | List the vehicle flight number, date and pilot of all the flights, ordered by altitude. | SELECT vehicle_flight_number , date , pilot FROM flight ORDER BY altitude ASC | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | List the id, country, city and name of the airports ordered alphabetically by the name. | SELECT id , country , city , name FROM airport ORDER BY name | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | What is maximum group equity shareholding of the companies? | SELECT max(group_equity_shareholding) FROM operate_company | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | What is the velocity of the pilot named 'Thompson'? | SELECT avg(velocity) FROM flight WHERE pilot = 'Thompson' | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | What are the names and types of the companies that have ever operated a flight? | SELECT T1.name , T1.type FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | What are the names of the airports which are not in the country 'Iceland'? | SELECT name FROM airport WHERE country != 'Iceland' | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | What are the distinct types of the companies that have operated any flights with velocity less than 200? | SELECT DISTINCT T1.type FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id WHERE T2.velocity < 200 | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | What are the ids and names of the companies that operated more than one flight? | 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 | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | What is the id, name and IATA code of the airport that had most number of flights? | 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 | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | What are the different pilot names who had piloted a flight in the country 'United States' or in the airport named 'Billund Airport'? | 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' | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | What is the most common company type, and how many are there? | SELECT TYPE , count(*) FROM operate_company GROUP BY TYPE ORDER BY count(*) DESC LIMIT 1 | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | How many airports haven't the pilot 'Thompson' driven an aircraft? | SELECT count(*) FROM airport WHERE id NOT IN ( SELECT airport_id FROM flight WHERE pilot = 'Thompson' ); | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | 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. | 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' | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | Which of the airport names contains the word 'international'? | SELECT name FROM airport WHERE name LIKE '%international%' | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | How many companies operates airlines in each airport? | 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 | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | how many airports are there in each country? | SELECT count(*) , country FROM airport GROUP BY country | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | which countries have more than 2 airports? | SELECT country FROM airport GROUP BY country HAVING count(*) > 2 | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
flight_company | which pilot is in charge of the most number of flights? | SELECT pilot FROM flight GROUP BY pilot ORDER BY count(*) DESC LIMIT 1 | CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
3 rows from airport table:
id City Country IATA ICAO name
1 Akureyri Iceland AEY BIAR Akureyri Airport
2 Amsterdam Netherlands AMS EHAM Schiphol Air... |
cre_Docs_and_Epenses | How many accounts do we have? | SELECT count(*) FROM Accounts | CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
3 rows from Ref_Document_Types table:
Document_Type_Code Document_Type_Name Document_Type_Description
BK ... |
cre_Docs_and_Epenses | Count the number of accounts. | SELECT count(*) FROM Accounts | CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
3 rows from Ref_Document_Types table:
Document_Type_Code Document_Type_Name Document_Type_Description
BK ... |
cre_Docs_and_Epenses | Show all account ids and account details. | SELECT account_id , account_details FROM Accounts | CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
3 rows from Ref_Document_Types table:
Document_Type_Code Document_Type_Name Document_Type_Description
BK ... |
cre_Docs_and_Epenses | What are the ids and details of all accounts? | SELECT account_id , account_details FROM Accounts | CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
3 rows from Ref_Document_Types table:
Document_Type_Code Document_Type_Name Document_Type_Description
BK ... |
cre_Docs_and_Epenses | How many statements do we have? | SELECT count(*) FROM Statements | CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
3 rows from Ref_Document_Types table:
Document_Type_Code Document_Type_Name Document_Type_Description
BK ... |
cre_Docs_and_Epenses | Count the number of statements. | SELECT count(*) FROM Statements | CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
3 rows from Ref_Document_Types table:
Document_Type_Code Document_Type_Name Document_Type_Description
BK ... |
cre_Docs_and_Epenses | List all statement ids and statement details. | SELECT STATEMENT_ID , statement_details FROM Statements | CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
3 rows from Ref_Document_Types table:
Document_Type_Code Document_Type_Name Document_Type_Description
BK ... |
cre_Docs_and_Epenses | What are the ids and details of all statements? | SELECT STATEMENT_ID , statement_details FROM Statements | CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
3 rows from Ref_Document_Types table:
Document_Type_Code Document_Type_Name Document_Type_Description
BK ... |
cre_Docs_and_Epenses | Show statement id, statement detail, account detail for accounts. | 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 | CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
3 rows from Ref_Document_Types table:
Document_Type_Code Document_Type_Name Document_Type_Description
BK ... |
cre_Docs_and_Epenses | What are the statement ids, statement details, and account details, for all accounts? | 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 | CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
3 rows from Ref_Document_Types table:
Document_Type_Code Document_Type_Name Document_Type_Description
BK ... |
cre_Docs_and_Epenses | Show all statement id and the number of accounts for each statement. | SELECT STATEMENT_ID , count(*) FROM Accounts GROUP BY STATEMENT_ID | CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
3 rows from Ref_Document_Types table:
Document_Type_Code Document_Type_Name Document_Type_Description
BK ... |
cre_Docs_and_Epenses | What are the different statement ids on accounts, and the number of accounts for each? | SELECT STATEMENT_ID , count(*) FROM Accounts GROUP BY STATEMENT_ID | CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
3 rows from Ref_Document_Types table:
Document_Type_Code Document_Type_Name Document_Type_Description
BK ... |
cre_Docs_and_Epenses | Show the statement id and the statement detail for the statement with most number of accounts. | 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 | CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
3 rows from Ref_Document_Types table:
Document_Type_Code Document_Type_Name Document_Type_Description
BK ... |
cre_Docs_and_Epenses | What are the statement id and statement detail for the statement that has the most corresponding accounts? | 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 | CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
3 rows from Ref_Document_Types table:
Document_Type_Code Document_Type_Name Document_Type_Description
BK ... |
cre_Docs_and_Epenses | Show the number of documents. | SELECT count(*) FROM Documents | CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
3 rows from Ref_Document_Types table:
Document_Type_Code Document_Type_Name Document_Type_Description
BK ... |
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