Datasets:
lamini
/
text_to_sql_finetune

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input
stringlengths
236
16.9k
output
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19
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-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- Return the total and minimum enrollments across all schools.
SELECT sum(enrollment) , min(enrollment) FROM university;
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- Find the total student enrollment for different affiliation type schools.
SELECT sum(enrollment) , affiliation FROM university GROUP BY affiliation;
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- What are the total enrollments of universities of each affiliation type?
SELECT sum(enrollment) , affiliation FROM university GROUP BY affiliation;
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- How many schools do not participate in the basketball match?
SELECT count(*) FROM university WHERE school_id NOT IN (SELECT school_id FROM basketball_match);
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- Count the number of universities that do not participate in the baketball match.
SELECT count(*) FROM university WHERE school_id NOT IN (SELECT school_id FROM basketball_match);
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- Find the schools that were either founded after 1850 or public.
SELECT school FROM university WHERE founded > 1850 OR affiliation = 'Public';
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- What are the schools that were either founded before 1850 or are public?
SELECT school FROM university WHERE founded > 1850 OR affiliation = 'Public';
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- Find how many different affiliation types there are.
SELECT count(DISTINCT affiliation) FROM university;
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- Count the number of different affiliation types.
SELECT count(DISTINCT affiliation) FROM university;
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- Find how many school locations have the word 'NY'.
SELECT count(*) FROM university WHERE LOCATION LIKE "%NY%";
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- How many universities have a location that contains NY?
SELECT count(*) FROM university WHERE LOCATION LIKE "%NY%";
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- Find the team names of the universities whose enrollments are smaller than the average enrollment size.
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);
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- What are the names of teams from universities that have a below average enrollment?
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);
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- Find the number of universities that have over a 20000 enrollment size for each affiliation type.
SELECT count(*) , affiliation FROM university WHERE enrollment > 20000 GROUP BY affiliation;
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- What are the different affiliations, and how many schools with each have an enrollment size of above 20000?
SELECT count(*) , affiliation FROM university WHERE enrollment > 20000 GROUP BY affiliation;
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- Find the total number of students enrolled in the colleges that were founded after the year of 1850 for each affiliation type.
SELECT sum(Enrollment) , affiliation FROM university WHERE founded > 1850 GROUP BY affiliation;
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- What are the different affiliations, and what is the total enrollment of schools founded after 1850 for each enrollment type?
SELECT sum(Enrollment) , affiliation FROM university WHERE founded > 1850 GROUP BY affiliation;
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- What is the maximum enrollment across all schools?
SELECT max(Enrollment) FROM university;
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- Return the maximum enrollment across all schools.
SELECT max(Enrollment) FROM university;
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- List all information regarding the basketball match.
SELECT * FROM basketball_match;
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- What is all the information about the basketball match?
SELECT * FROM basketball_match;
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- List names of all teams in the basketball competition, ordered by all home scores in descending order.
SELECT team_name FROM basketball_match ORDER BY All_Home DESC;
-- Database schema | basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] | -- -- What are the names of all the teams in the basketball competition, sorted by all home scores in descending order?
SELECT team_name FROM basketball_match ORDER BY All_Home DESC;
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- the names of models that launched between 2002 and 2004.
SELECT Model_name FROM chip_model WHERE Launch_year BETWEEN 2002 AND 2004;
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- Which model has the least amount of RAM? List the model name and the amount of RAM.
SELECT Model_name , RAM_MiB FROM chip_model ORDER BY RAM_MiB ASC LIMIT 1;
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- What are the chip model and screen mode of the phone with hardware model name "LG-P760"?
SELECT chip_model , screen_mode FROM phone WHERE Hardware_Model_name = "LG-P760";
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- How many phone hardware models are produced by the company named "Nokia Corporation"?
SELECT count(*) FROM phone WHERE Company_name = "Nokia Corporation";
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- What is maximum and minimum RAM size of phone produced by company named "Nokia Corporation"?
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";
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- What is the average ROM size of phones produced by the company named "Nokia Corporation"?
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";
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- 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.
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;
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- Find all phones that have word 'Full' in their accreditation types. List the Hardware Model name and Company name.
SELECT Hardware_Model_name , Company_name FROM phone WHERE Accreditation_type LIKE 'Full';
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- Find the Char cells, Pixels and Hardware colours for the screen of the phone whose hardware model name is "LG-P760".
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";
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- List the hardware model name and company name for the phone whose screen mode type is "Graphics."
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";
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- 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.
SELECT Company_name , count(*) FROM phone GROUP BY Company_name ORDER BY count(*) ASC LIMIT 1;
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- List the name of the company that produced more than one phone model.
SELECT Company_name FROM phone GROUP BY Company_name HAVING count(*) > 1;
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- List the maximum, minimum and average number of used kb in screen mode.
SELECT max(used_kb) , min(used_kb) , avg(used_kb) FROM screen_mode;
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- List the name of the phone model launched in year 2002 and with the highest RAM size.
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;
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- What are the wifi and screen mode type of the hardware model named "LG-P760"?
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";
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- List the hardware model name for the phones that have screen mode type "Text" or RAM size greater than 32.
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;
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- List the hardware model name for the phones that were produced by "Nokia Corporation" or whose screen mode type is "Graphics."
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";
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- List the hardware model name for the phons that were produced by "Nokia Corporation" but whose screen mode type is not Text.
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";
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- List the phone hardware model and company name for the phones whose screen usage in kb is between 10 and 15.
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;
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- Find the number of phones for each accreditation type.
SELECT Accreditation_type , count(*) FROM phone GROUP BY Accreditation_type;
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- How many phones belongs to each accreditation type?
SELECT Accreditation_type , count(*) FROM phone GROUP BY Accreditation_type;
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- Find the accreditation level that more than 3 phones use.
SELECT Accreditation_level FROM phone GROUP BY Accreditation_level HAVING count(*) > 3;
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- Find the details for all chip models.
SELECT * FROM chip_model;
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- How many models do not have the wifi function?
SELECT count(*) FROM chip_model WHERE wifi = 'No';
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- Count the number of chip model that do not have wifi.
SELECT count(*) FROM chip_model WHERE wifi = 'No';
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- List all the model names sorted by their launch year.
SELECT model_name FROM chip_model ORDER BY launch_year;
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- Find the average ram mib size of the chip models that are never used by any phone.
SELECT avg(RAM_MiB) FROM chip_model WHERE model_name NOT IN (SELECT chip_model FROM phone);
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- Find the names of the chip models that are not used by any phone with full accreditation type.
SELECT model_name FROM chip_model EXCEPT SELECT chip_model FROM phone WHERE Accreditation_type = 'Full';
-- Database schema | chip_model : Model_name [ TEXT ] primary_key , Launch_year [ INT ] , RAM_MiB [ INT ] , ROM_MiB [ INT ] , Slots [ TEXT ] , WiFi [ TEXT ] , Bluetooth [ TEXT ] | screen_mode : Graphics_mode [ INT ] primary_key , Char_cells [ TEXT ] , Pixels [ TEXT ] , Hardware_colours [ INT ] , used_kb [ INT ] , map [ TEXT ] , Type [ TEXT ] | phone : Company_name [ TEXT ] , Hardware_Model_name [ TEXT ] primary_key , Accreditation_type [ TEXT ] , Accreditation_level [ TEXT ] , Date [ TEXT ] , chip_model [ TEXT ] phone.chip_model = chip_model.Model_name , screen_mode [ TEXT ] phone.screen_mode = screen_mode.Graphics_mode | -- -- Find the pixels of the screen modes that are used by both phones with full accreditation types and phones with Provisional accreditation types.
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';
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- How many countries are there in total?
SELECT count(*) FROM country;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Count the number of countries.
SELECT count(*) FROM country;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Show the country name and capital of all countries.
SELECT Country_name , Capital FROM country;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- What are the names and capitals of each country?
SELECT Country_name , Capital FROM country;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Show all official native languages that contain the word "English".
SELECT Official_native_language FROM country WHERE Official_native_language LIKE "%English%";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- What are the official native languages that contain the string "English".
SELECT Official_native_language FROM country WHERE Official_native_language LIKE "%English%";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Show all distinct positions of matches.
SELECT DISTINCT POSITION FROM match_season;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- What are the different positions for match season?
SELECT DISTINCT POSITION FROM match_season;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Show the players from college UCLA.
SELECT Player FROM match_season WHERE College = "UCLA";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Who are the players from UCLA?
SELECT Player FROM match_season WHERE College = "UCLA";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Show the distinct position of players from college UCLA or Duke.
SELECT DISTINCT POSITION FROM match_season WHERE College = "UCLA" OR College = "Duke";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- What are the different positions of players from UCLA or Duke colleges?
SELECT DISTINCT POSITION FROM match_season WHERE College = "UCLA" OR College = "Duke";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Show the draft pick numbers and draft classes of players whose positions are defenders.
SELECT Draft_Pick_Number , Draft_Class FROM match_season WHERE POSITION = "Defender";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- What are the draft pick numbers and draft classes for players who play the Defender position?
SELECT Draft_Pick_Number , Draft_Class FROM match_season WHERE POSITION = "Defender";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- How many distinct teams are involved in match seasons?
SELECT count(DISTINCT Team) FROM match_season;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Count the number of different teams involved in match season.
SELECT count(DISTINCT Team) FROM match_season;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Show the players and the years played.
SELECT Player , Years_Played FROM player;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Who are the different players and how many years has each played?
SELECT Player , Years_Played FROM player;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Show all team names.
SELECT Name FROM Team;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- What are the names of all teams?
SELECT Name FROM Team;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Show the season, the player, and the name of the country that player belongs to.
SELECT T2.Season , T2.Player , T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- For each player, what are their name, season, and country that they belong to?
SELECT T2.Season , T2.Player , T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Which players are from Indonesia?
SELECT T2.Player FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Country_name = "Indonesia";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Who are the players from Indonesia?
SELECT T2.Player FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Country_name = "Indonesia";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- What are the distinct positions of the players from a country whose capital is Dublin?
SELECT DISTINCT T2.Position FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Capital = "Dublin";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Give the different positions of players who play for the country with the capital Dublin.
SELECT DISTINCT T2.Position FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Capital = "Dublin";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- What are the official languages of the countries of players from Maryland or Duke college?
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";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Return the official native languages of countries who have players from Maryland or Duke colleges.
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";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- How many distinct official languages are there among countries of players whose positions are defenders.
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";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Count the number of different official languages corresponding to countries that players who play Defender are from.
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";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Show the season, the player, and the name of the team that players belong to.
SELECT T1.Season , T1.Player , T2.Name FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Who are the different players, what season do they play in, and what is the name of the team they are on?
SELECT T1.Season , T1.Player , T2.Name FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Show the positions of the players from the team with name "Ryley Goldner".
SELECT T1.Position FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Ryley Goldner";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Return the positions of players on the team Ryley Goldner.
SELECT T1.Position FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Ryley Goldner";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- How many distinct colleges are associated with players from the team with name "Columbus Crew".
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";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Count the number of different colleges that players who play for Columbus Crew are from.
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";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Show the players and years played for players from team "Columbus Crew".
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";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- What are the players who played for Columbus Crew, and how many years did each play for?
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";
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Show the position of players and the corresponding number of players.
SELECT POSITION , COUNT(*) FROM match_season GROUP BY POSITION;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- How many players played each position?
SELECT POSITION , COUNT(*) FROM match_season GROUP BY POSITION;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Show the country names and the corresponding number of players.
SELECT Country_name , COUNT(*) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_name;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- How many players are from each country?
SELECT Country_name , COUNT(*) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_name;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Return all players sorted by college in ascending alphabetical order.
SELECT player FROM match_season ORDER BY College ASC;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- What are all the players who played in match season, sorted by college in ascending alphabetical order?
SELECT player FROM match_season ORDER BY College ASC;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Show the most common position of players in match seasons.
SELECT POSITION FROM match_season GROUP BY POSITION ORDER BY count(*) DESC LIMIT 1;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- What is the position that is most common among players in match seasons?
SELECT POSITION FROM match_season GROUP BY POSITION ORDER BY count(*) DESC LIMIT 1;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- Show the top 3 most common colleges of players in match seasons.
SELECT College FROM match_season GROUP BY College ORDER BY count(*) DESC LIMIT 3;
-- Database schema | country : Country_id [ INT ] primary_key , Country_name [ TEXT ] , Capital [ TEXT ] , Official_native_language [ TEXT ] | team : Team_id [ INT ] primary_key , Name [ TEXT ] | match_season : Season [ INT ] primary_key , Player [ TEXT ] , Position [ TEXT ] , Country [ INT ] match_season.Country = country.Country_id , Team [ INT ] match_season.Team = team.Team_id , Draft_Pick_Number [ INT ] , Draft_Class [ TEXT ] , College [ TEXT ] | player : Player_ID [ INT ] primary_key , Player [ TEXT ] , Years_Played [ TEXT ] , Total_WL [ TEXT ] , Singles_WL [ TEXT ] , Doubles_WL [ TEXT ] , Team [ INT ] player.Team = team.Team_id | -- -- What are the three colleges from which the most players are from?
SELECT College FROM match_season GROUP BY College ORDER BY count(*) DESC LIMIT 3;