Datasets:

philikai

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Spider-SQL-LLAMA2_train

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university_basketball

SELECT sum(enrollment) , min(enrollment) FROM university

Return the total and minimum enrollments across all schools.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT sum(enrollment) , affiliation FROM university GROUP BY affiliation

Find the total student enrollment for different affiliation type schools.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT sum(enrollment) , affiliation FROM university GROUP BY affiliation

What are the total enrollments of universities of each affiliation type?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT count(*) FROM university WHERE school_id NOT IN (SELECT school_id FROM basketball_match)

How many schools do not participate in the basketball match?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT count(*) FROM university WHERE school_id NOT IN (SELECT school_id FROM basketball_match)

Count the number of universities that do not participate in the baketball match.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT school FROM university WHERE founded > 1850 OR affiliation = 'Public'

Find the schools that were either founded after 1850 or public.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT school FROM university WHERE founded > 1850 OR affiliation = 'Public'

What are the schools that were either founded before 1850 or are public?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT count(DISTINCT affiliation) FROM university

Find how many different affiliation types there are.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT count(DISTINCT affiliation) FROM university

Count the number of different affiliation types.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT count(*) FROM university WHERE LOCATION LIKE "%NY%"

Find how many school locations have the word 'NY'.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT count(*) FROM university WHERE LOCATION LIKE "%NY%"

How many universities have a location that contains NY?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT t2.team_name FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE enrollment < (SELECT avg(enrollment) FROM university)

Find the team names of the universities whose enrollments are smaller than the average enrollment size.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT t2.team_name FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE enrollment < (SELECT avg(enrollment) FROM university)

What are the names of teams from universities that have a below average enrollment?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT count(*) , affiliation FROM university WHERE enrollment > 20000 GROUP BY affiliation

Find the number of universities that have over a 20000 enrollment size for each affiliation type.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT count(*) , affiliation FROM university WHERE enrollment > 20000 GROUP BY affiliation

What are the different affiliations, and how many schools with each have an enrollment size of above 20000?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT sum(Enrollment) , affiliation FROM university WHERE founded > 1850 GROUP BY affiliation

Find the total number of students enrolled in the colleges that were founded after the year of 1850 for each affiliation type.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT sum(Enrollment) , affiliation FROM university WHERE founded > 1850 GROUP BY affiliation

What are the different affiliations, and what is the total enrollment of schools founded after 1850 for each enrollment type?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT max(Enrollment) FROM university

What is the maximum enrollment across all schools?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT max(Enrollment) FROM university

Return the maximum enrollment across all schools.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT * FROM basketball_match

List all information regarding the basketball match.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT * FROM basketball_match

What is all the information about the basketball match?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT team_name FROM basketball_match ORDER BY All_Home DESC

List names of all teams in the basketball competition, ordered by all home scores in descending order.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT team_name FROM basketball_match ORDER BY All_Home DESC

What are the names of all the teams in the basketball competition, sorted by all home scores in descending order?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

phone_1

SELECT Model_name FROM chip_model WHERE Launch_year BETWEEN 2002 AND 2004;

the names of models that launched between 2002 and 2004.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT Model_name , RAM_MiB FROM chip_model ORDER BY RAM_MiB ASC LIMIT 1;

Which model has the least amount of RAM? List the model name and the amount of RAM.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT chip_model , screen_mode FROM phone WHERE Hardware_Model_name = "LG-P760";

What are the chip model and screen mode of the phone with hardware model name "LG-P760"?

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT count(*) FROM phone WHERE Company_name = "Nokia Corporation";

How many phone hardware models are produced by the company named "Nokia Corporation"?

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT max(T1.RAM_MiB) , min(T1.RAM_MiB) FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T2.Company_name = "Nokia Corporation";

What is maximum and minimum RAM size of phone produced by company named "Nokia Corporation"?

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT avg(T1.ROM_MiB) FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T2.Company_name = "Nokia Corporation";

What is the average ROM size of phones produced by the company named "Nokia Corporation"?

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT T2.Hardware_Model_name , T2.Company_name FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T1.Launch_year = 2002 OR T1.RAM_MiB > 32;

List the hardware model name and company name for all the phones that were launched in year 2002 or have RAM size greater than 32.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT Hardware_Model_name , Company_name FROM phone WHERE Accreditation_type LIKE 'Full';

Find all phones that have word 'Full' in their accreditation types. List the Hardware Model name and Company name.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT T1.Char_cells , T1.Pixels , T1.Hardware_colours FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE T2.Hardware_Model_name = "LG-P760";

Find the Char cells, Pixels and Hardware colours for the screen of the phone whose hardware model name is "LG-P760".

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT T2.Hardware_Model_name , T2.Company_name FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE T1.Type = "Graphics";

List the hardware model name and company name for the phone whose screen mode type is "Graphics."

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT Company_name , count(*) FROM phone GROUP BY Company_name ORDER BY count(*) ASC LIMIT 1;

Find the name of the company that has the least number of phone models. List the company name and the number of phone model produced by that company.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT Company_name FROM phone GROUP BY Company_name HAVING count(*) > 1;

List the name of the company that produced more than one phone model.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT max(used_kb) , min(used_kb) , avg(used_kb) FROM screen_mode;

List the maximum, minimum and average number of used kb in screen mode.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT T2.Hardware_Model_name FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T1.Launch_year = 2002 ORDER BY T1.RAM_MiB DESC LIMIT 1;

List the name of the phone model launched in year 2002 and with the highest RAM size.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT T1.WiFi , T3.Type FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model JOIN screen_mode AS T3 ON T2.screen_mode = T3.Graphics_mode WHERE T2.Hardware_Model_name = "LG-P760";

What are the wifi and screen mode type of the hardware model named "LG-P760"?

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT T2.Hardware_Model_name FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model JOIN screen_mode AS T3 ON T2.screen_mode = T3.Graphics_mode WHERE T3.Type = "Text" OR T1.RAM_MiB > 32;

List the hardware model name for the phones that have screen mode type "Text" or RAM size greater than 32.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT DISTINCT T2.Hardware_Model_name FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE T1.Type = "Graphics" OR t2.Company_name = "Nokia Corporation"

List the hardware model name for the phones that were produced by "Nokia Corporation" or whose screen mode type is "Graphics."

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT DISTINCT T2.Hardware_Model_name FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE t2.Company_name = "Nokia Corporation" AND T1.Type != "Text";

List the hardware model name for the phons that were produced by "Nokia Corporation" but whose screen mode type is not Text.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT DISTINCT T2.Hardware_Model_name , T2.Company_name FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE T1.used_kb BETWEEN 10 AND 15;

List the phone hardware model and company name for the phones whose screen usage in kb is between 10 and 15.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT Accreditation_type , count(*) FROM phone GROUP BY Accreditation_type

Find the number of phones for each accreditation type.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT Accreditation_type , count(*) FROM phone GROUP BY Accreditation_type

How many phones belongs to each accreditation type?

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT Accreditation_level FROM phone GROUP BY Accreditation_level HAVING count(*) > 3

Find the accreditation level that more than 3 phones use.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT * FROM chip_model

Find the details for all chip models.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT count(*) FROM chip_model WHERE wifi = 'No'

How many models do not have the wifi function?

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT count(*) FROM chip_model WHERE wifi = 'No'

Count the number of chip model that do not have wifi.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT model_name FROM chip_model ORDER BY launch_year

List all the model names sorted by their launch year.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT avg(RAM_MiB) FROM chip_model WHERE model_name NOT IN (SELECT chip_model FROM phone)

Find the average ram mib size of the chip models that are never used by any phone.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT model_name FROM chip_model EXCEPT SELECT chip_model FROM phone WHERE Accreditation_type = 'Full'

Find the names of the chip models that are not used by any phone with full accreditation type.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

phone_1

SELECT t1.pixels FROM screen_mode AS t1 JOIN phone AS t2 ON t1.Graphics_mode = t2.screen_mode WHERE t2.Accreditation_type = 'Provisional' INTERSECT SELECT t1.pixels FROM screen_mode AS t1 JOIN phone AS t2 ON t1.Graphics_mode = t2.screen_mode WHERE t2.Accreditation_type = 'Full'

Find the pixels of the screen modes that are used by both phones with full accreditation types and phones with Provisional accreditation types.

[Schema (values) (types)]: | phone_1 | chip_model : model_name (text) , launch_year (text) , ram_mib (number) , rom_mib (number) , slots (number) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (text) , char_cells (text) , pixels (number) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (number) , accreditation_level (number) , date (number) , chip_model (text) , screen_mode (text);

[Primary Keys]: chip_model : model_name, screen_mode : graphics_mode, phone : hardware_model_name

[Foreign Keys]: phone : chip_model = chip_model : model_name | phone : screen_mode = screen_mode : graphics_mode

match_season

SELECT count(*) FROM country

How many countries are there in total?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT count(*) FROM country

Count the number of countries.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT Country_name , Capital FROM country

Show the country name and capital of all countries.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT Country_name , Capital FROM country

What are the names and capitals of each country?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT Official_native_language FROM country WHERE Official_native_language LIKE "%English%"

Show all official native languages that contain the word "English".

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT Official_native_language FROM country WHERE Official_native_language LIKE "%English%"

What are the official native languages that contain the string "English".

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT DISTINCT POSITION FROM match_season

Show all distinct positions of matches.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT DISTINCT POSITION FROM match_season

What are the different positions for match season?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT Player FROM match_season WHERE College = "UCLA"

Show the players from college UCLA.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT Player FROM match_season WHERE College = "UCLA"

Who are the players from UCLA?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT DISTINCT POSITION FROM match_season WHERE College = "UCLA" OR College = "Duke"

Show the distinct position of players from college UCLA or Duke.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT DISTINCT POSITION FROM match_season WHERE College = "UCLA" OR College = "Duke"

What are the different positions of players from UCLA or Duke colleges?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT Draft_Pick_Number , Draft_Class FROM match_season WHERE POSITION = "Defender"

Show the draft pick numbers and draft classes of players whose positions are defenders.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT Draft_Pick_Number , Draft_Class FROM match_season WHERE POSITION = "Defender"

What are the draft pick numbers and draft classes for players who play the Defender position?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT count(DISTINCT Team) FROM match_season

How many distinct teams are involved in match seasons?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT count(DISTINCT Team) FROM match_season

Count the number of different teams involved in match season.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT Player , Years_Played FROM player

Show the players and the years played.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT Player , Years_Played FROM player

Who are the different players and how many years has each played?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT Name FROM Team

Show all team names.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT Name FROM Team

What are the names of all teams?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT T2.Season , T2.Player , T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country

Show the season, the player, and the name of the country that player belongs to.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT T2.Season , T2.Player , T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country

For each player, what are their name, season, and country that they belong to?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT T2.Player FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Country_name = "Indonesia"

Which players are from Indonesia?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT T2.Player FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Country_name = "Indonesia"

Who are the players from Indonesia?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT DISTINCT T2.Position FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Capital = "Dublin"

What are the distinct positions of the players from a country whose capital is Dublin?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT DISTINCT T2.Position FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Capital = "Dublin"

Give the different positions of players who play for the country with the capital Dublin.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT T1.Official_native_language FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.College = "Maryland" OR T2.College = "Duke"

What are the official languages of the countries of players from Maryland or Duke college?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT T1.Official_native_language FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.College = "Maryland" OR T2.College = "Duke"

Return the official native languages of countries who have players from Maryland or Duke colleges.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT count(DISTINCT T1.Official_native_language) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.Position = "Defender"

How many distinct official languages are there among countries of players whose positions are defenders.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT count(DISTINCT T1.Official_native_language) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.Position = "Defender"

Count the number of different official languages corresponding to countries that players who play Defender are from.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT T1.Season , T1.Player , T2.Name FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id

Show the season, the player, and the name of the team that players belong to.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT T1.Season , T1.Player , T2.Name FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id

Who are the different players, what season do they play in, and what is the name of the team they are on?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT T1.Position FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Ryley Goldner"

Show the positions of the players from the team with name "Ryley Goldner".

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT T1.Position FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Ryley Goldner"

Return the positions of players on the team Ryley Goldner.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT count(DISTINCT T1.College) FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Columbus Crew"

How many distinct colleges are associated with players from the team with name "Columbus Crew".

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT count(DISTINCT T1.College) FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Columbus Crew"

Count the number of different colleges that players who play for Columbus Crew are from.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT T1.Player , T1.Years_Played FROM player AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Columbus Crew"

Show the players and years played for players from team "Columbus Crew".

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT T1.Player , T1.Years_Played FROM player AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Columbus Crew"

What are the players who played for Columbus Crew, and how many years did each play for?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT POSITION , COUNT(*) FROM match_season GROUP BY POSITION

Show the position of players and the corresponding number of players.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT POSITION , COUNT(*) FROM match_season GROUP BY POSITION

How many players played each position?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT Country_name , COUNT(*) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_name

Show the country names and the corresponding number of players.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT Country_name , COUNT(*) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_name

How many players are from each country?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT player FROM match_season ORDER BY College ASC

Return all players sorted by college in ascending alphabetical order.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT player FROM match_season ORDER BY College ASC

What are all the players who played in match season, sorted by college in ascending alphabetical order?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT POSITION FROM match_season GROUP BY POSITION ORDER BY count(*) DESC LIMIT 1

Show the most common position of players in match seasons.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT POSITION FROM match_season GROUP BY POSITION ORDER BY count(*) DESC LIMIT 1

What is the position that is most common among players in match seasons?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT College FROM match_season GROUP BY College ORDER BY count(*) DESC LIMIT 3

Show the top 3 most common colleges of players in match seasons.

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id

match_season

SELECT College FROM match_season GROUP BY College ORDER BY count(*) DESC LIMIT 3

What are the three colleges from which the most players are from?

[Schema (values) (types)]: | match_season | country : country_id (text) , country_name (number) , capital (text) , official_native_language (text) | team : team_id (text) , name (number) | match_season : season (text) , player (number) , position (text) , country (text) , team (text) , draft_pick_number (number) , draft_class (text) , college (number) | player : player_id (text) , player (number) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (number) , team (text);

[Primary Keys]: country : country_id, team : team_id, match_season : season, player : player_id

[Foreign Keys]: match_season : team = team : team_id | match_season : country = country : country_id | player : team = team : team_id