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Lamini 70

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- How many students does each advisor have?

SELECT advisor , count(*) FROM Student GROUP BY advisor;

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- Which advisor has most number of students?

SELECT advisor FROM Student GROUP BY advisor ORDER BY count(*) DESC LIMIT 1;

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- Give the advisor with the most students.

SELECT advisor FROM Student GROUP BY advisor ORDER BY count(*) DESC LIMIT 1;

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- How many students have cat allergies?

SELECT count(*) FROM Has_allergy WHERE Allergy = "Cat";

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- How many students are affected by cat allergies?

SELECT count(*) FROM Has_allergy WHERE Allergy = "Cat";

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- Show all student IDs who have at least two allergies.

SELECT StuID FROM Has_allergy GROUP BY StuID HAVING count(*) >= 2;

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- What are the students ids of students who have more than one allergy?

SELECT StuID FROM Has_allergy GROUP BY StuID HAVING count(*) >= 2;

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- What are the student ids of students who don't have any allergies?

SELECT StuID FROM Student EXCEPT SELECT StuID FROM Has_allergy;

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- Which students are unaffected by allergies?

SELECT StuID FROM Student EXCEPT SELECT StuID FROM Has_allergy;

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- How many female students have milk or egg allergies?

SELECT count(*) FROM has_allergy AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T2.sex = "F" AND T1.allergy = "Milk" OR T1.allergy = "Eggs";

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- How many students who are female are allergic to milk or eggs?

SELECT count(*) FROM has_allergy AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T2.sex = "F" AND T1.allergy = "Milk" OR T1.allergy = "Eggs";

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- How many students have a food allergy?

SELECT count(*) FROM Has_allergy AS T1 JOIN Allergy_type AS T2 ON T1.allergy = T2.allergy WHERE T2.allergytype = "food";

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- How many students are affected by food related allergies?

SELECT count(*) FROM Has_allergy AS T1 JOIN Allergy_type AS T2 ON T1.allergy = T2.allergy WHERE T2.allergytype = "food";

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- Which allergy has most number of students affected?

SELECT Allergy FROM Has_allergy GROUP BY Allergy ORDER BY count(*) DESC LIMIT 1;

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- Which allergy is the most common?

SELECT Allergy FROM Has_allergy GROUP BY Allergy ORDER BY count(*) DESC LIMIT 1;

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- Show all allergies with number of students affected.

SELECT Allergy , count(*) FROM Has_allergy GROUP BY Allergy;

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- How many students have each different allergy?

SELECT Allergy , count(*) FROM Has_allergy GROUP BY Allergy;

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- Show all allergy type with number of students affected.

SELECT T2.allergytype , count(*) FROM Has_allergy AS T1 JOIN Allergy_type AS T2 ON T1.allergy = T2.allergy GROUP BY T2.allergytype;

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- How many students are affected by each allergy type?

SELECT T2.allergytype , count(*) FROM Has_allergy AS T1 JOIN Allergy_type AS T2 ON T1.allergy = T2.allergy GROUP BY T2.allergytype;

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- Find the last name and age of the student who has allergy to both milk and cat.

SELECT lname , age FROM Student WHERE StuID IN (SELECT StuID FROM Has_allergy WHERE Allergy = "Milk" INTERSECT SELECT StuID FROM Has_allergy WHERE Allergy = "Cat");

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- What are the last names and ages of the students who are allergic to milk and cat?

SELECT lname , age FROM Student WHERE StuID IN (SELECT StuID FROM Has_allergy WHERE Allergy = "Milk" INTERSECT SELECT StuID FROM Has_allergy WHERE Allergy = "Cat");

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- What are the allergies and their types that the student with first name Lisa has? And order the result by name of allergies.

SELECT T1.Allergy , T1.AllergyType FROM Allergy_type AS T1 JOIN Has_allergy AS T2 ON T1.Allergy = T2.Allergy JOIN Student AS T3 ON T3.StuID = T2.StuID WHERE T3.Fname = "Lisa" ORDER BY T1.Allergy;

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- What are the allergies the girl named Lisa has? And what are the types of them? Order the result by allergy names.

SELECT T1.Allergy , T1.AllergyType FROM Allergy_type AS T1 JOIN Has_allergy AS T2 ON T1.Allergy = T2.Allergy JOIN Student AS T3 ON T3.StuID = T2.StuID WHERE T3.Fname = "Lisa" ORDER BY T1.Allergy;

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- Find the first name and gender of the student who has allergy to milk but not cat.

SELECT fname , sex FROM Student WHERE StuID IN (SELECT StuID FROM Has_allergy WHERE Allergy = "Milk" EXCEPT SELECT StuID FROM Has_allergy WHERE Allergy = "Cat");

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- What are the first name and gender of the students who have allergy to milk but can put up with cats?

SELECT fname , sex FROM Student WHERE StuID IN (SELECT StuID FROM Has_allergy WHERE Allergy = "Milk" EXCEPT SELECT StuID FROM Has_allergy WHERE Allergy = "Cat");

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- Find the average age of the students who have allergies with food and animal types.

SELECT avg(age) FROM Student WHERE StuID IN ( SELECT T1.StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food" INTERSECT SELECT T1.StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "animal");

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- How old are the students with allergies to food and animal types on average?

SELECT avg(age) FROM Student WHERE StuID IN ( SELECT T1.StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food" INTERSECT SELECT T1.StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "animal");

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- List the first and last name of the students who do not have any food type allergy.

SELECT fname , lname FROM Student WHERE StuID NOT IN (SELECT T1.StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food");

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- What is the full name of each student who is not allergic to any type of food.

SELECT fname , lname FROM Student WHERE StuID NOT IN (SELECT T1.StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food");

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- Find the number of male (sex is 'M') students who have some food type allery.

SELECT count(*) FROM Student WHERE sex = "M" AND StuID IN (SELECT StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food");

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- How many male students (sex is 'M') are allergic to any type of food?

SELECT count(*) FROM Student WHERE sex = "M" AND StuID IN (SELECT StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food");

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- Find the different first names and cities of the students who have allergy to milk or cat.

SELECT DISTINCT T1.fname , T1.city_code FROM Student AS T1 JOIN Has_Allergy AS T2 ON T1.stuid = T2.stuid WHERE T2.Allergy = "Milk" OR T2.Allergy = "Cat";

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- What are the distinct first names and cities of the students who have allergy either to milk or to cat?

SELECT DISTINCT T1.fname , T1.city_code FROM Student AS T1 JOIN Has_Allergy AS T2 ON T1.stuid = T2.stuid WHERE T2.Allergy = "Milk" OR T2.Allergy = "Cat";

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- Find the number of students who are older than 18 and do not have allergy to either food or animal.

SELECT count(*) FROM Student WHERE age > 18 AND StuID NOT IN ( SELECT StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food" OR T2.allergytype = "animal");

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- How many students are over 18 and do not have allergy to food type or animal type?

SELECT count(*) FROM Student WHERE age > 18 AND StuID NOT IN ( SELECT StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food" OR T2.allergytype = "animal");

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- Find the first name and major of the students who are not allegry to soy.

SELECT fname , major FROM Student WHERE StuID NOT IN (SELECT StuID FROM Has_allergy WHERE Allergy = "Soy");

-- Database schema | Allergy_Type : Allergy [ TEXT ] primary_key , AllergyType [ TEXT ] | Has_Allergy : StuID [ INT ] Has_Allergy.StuID = Student.StuID , Allergy [ TEXT ] Has_Allergy.Allergy = Allergy_Type.Allergy | Student : StuID [ INT ] primary_key , LName [ TEXT ] , Fname [ TEXT ] , Age [ INT ] , Sex [ TEXT ] , Major [ INT ] , Advisor [ INT ] , city_code [ TEXT ] | -- -- What are the first name and major of the students who are able to consume soy?

SELECT fname , major FROM Student WHERE StuID NOT IN (SELECT StuID FROM Has_allergy WHERE Allergy = "Soy");

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- A list of the top 5 countries by number of invoices. List country name and number of invoices.

SELECT billing_country , COUNT(*) FROM invoices GROUP BY billing_country ORDER BY count(*) DESC LIMIT 5;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What are the top 5 countries by number of invoices and how many do they have?

SELECT billing_country , COUNT(*) FROM invoices GROUP BY billing_country ORDER BY count(*) DESC LIMIT 5;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- A list of the top 8 countries by gross/total invoice size. List country name and gross invoice size.

SELECT billing_country , SUM(total) FROM invoices GROUP BY billing_country ORDER BY SUM(total) DESC LIMIT 8;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What are the names of the top 8 countries by total invoice size and what are those sizes?

SELECT billing_country , SUM(total) FROM invoices GROUP BY billing_country ORDER BY SUM(total) DESC LIMIT 8;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- A list of the top 10 countries by average invoice size. List country name and average invoice size.

SELECT billing_country , AVG(total) FROM invoices GROUP BY billing_country ORDER BY AVG(total) DESC LIMIT 10;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What are the names of the countries and average invoice size of the top countries by size?

SELECT billing_country , AVG(total) FROM invoices GROUP BY billing_country ORDER BY AVG(total) DESC LIMIT 10;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- Find out 5 customers who most recently purchased something. List customers' first and last name.

SELECT T1.first_name , T1.last_name FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id ORDER BY T2.invoice_date DESC LIMIT 5;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What are the first and last names of the 5 customers who purchased something most recently?

SELECT T1.first_name , T1.last_name FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id ORDER BY T2.invoice_date DESC LIMIT 5;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- Find out the top 10 customers by total number of orders. List customers' first and last name and the number of total orders.

SELECT T1.first_name , T1.last_name , COUNT(*) FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id GROUP BY T1.id ORDER BY COUNT(*) DESC LIMIT 10;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What are the top 10 customers' first and last names by total number of orders and how many orders did they make?

SELECT T1.first_name , T1.last_name , COUNT(*) FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id GROUP BY T1.id ORDER BY COUNT(*) DESC LIMIT 10;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- List the top 10 customers by total gross sales. List customers' first and last name and total gross sales.

SELECT T1.first_name , T1.last_name , SUM(T2.total) FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id GROUP BY T1.id ORDER BY SUM(T2.total) DESC LIMIT 10;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What are the top 10 customers' first and last names with the highest gross sales, and also what are the sales?

SELECT T1.first_name , T1.last_name , SUM(T2.total) FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id GROUP BY T1.id ORDER BY SUM(T2.total) DESC LIMIT 10;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- List the top 5 genres by number of tracks. List genres name and total tracks.

SELECT T1.name , COUNT(*) FROM genres AS T1 JOIN tracks AS T2 ON T2.genre_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC LIMIT 5;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- How many tracks does each genre have and what are the names of the top 5?

SELECT T1.name , COUNT(*) FROM genres AS T1 JOIN tracks AS T2 ON T2.genre_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC LIMIT 5;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- List every album's title.

SELECT title FROM albums;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What are the titles of all the albums?

SELECT title FROM albums;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- List every album ordered by album title in ascending order.

SELECT title FROM albums ORDER BY title;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What are the titles of all the albums alphabetically ascending?

SELECT title FROM albums ORDER BY title;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- List every album whose title starts with A in alphabetical order.

SELECT title FROM albums WHERE title LIKE 'A%' ORDER BY title;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What are the titles of all albums that start with A in alphabetical order?

SELECT title FROM albums WHERE title LIKE 'A%' ORDER BY title;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- List the customers first and last name of 10 least expensive invoices.

SELECT T1.first_name , T1.last_name FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id ORDER BY total LIMIT 10;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What are the first and last names of the customers with the 10 cheapest invoices?

SELECT T1.first_name , T1.last_name FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id ORDER BY total LIMIT 10;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- List total amount of invoice from Chicago, IL.

SELECT sum(total) FROM invoices WHERE billing_city = "Chicago" AND billing_state = "IL";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What are the total amount of money in the invoices billed from Chicago, Illinois?

SELECT sum(total) FROM invoices WHERE billing_city = "Chicago" AND billing_state = "IL";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- List the number of invoices from Chicago, IL.

SELECT COUNT(*) FROM invoices WHERE billing_city = "Chicago" AND billing_state = "IL";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- How many invoices were billed from Chicago, IL?

SELECT COUNT(*) FROM invoices WHERE billing_city = "Chicago" AND billing_state = "IL";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- List the number of invoices from the US, grouped by state.

SELECT billing_state , COUNT(*) FROM invoices WHERE billing_country = "USA" GROUP BY billing_state;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- How many invoices were billed from each state?

SELECT billing_state , COUNT(*) FROM invoices WHERE billing_country = "USA" GROUP BY billing_state;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- List the state in the US with the most invoices.

SELECT billing_state , COUNT(*) FROM invoices WHERE billing_country = "USA" GROUP BY billing_state ORDER BY COUNT(*) DESC LIMIT 1;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What are the states with the most invoices?

SELECT billing_state , COUNT(*) FROM invoices WHERE billing_country = "USA" GROUP BY billing_state ORDER BY COUNT(*) DESC LIMIT 1;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- List the number of invoices and the invoice total from California.

SELECT billing_state , COUNT(*) , SUM(total) FROM invoices WHERE billing_state = "CA";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What is the number of invoices and total money billed in them from CA?

SELECT billing_state , COUNT(*) , SUM(total) FROM invoices WHERE billing_state = "CA";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- List Aerosmith's albums.

SELECT T1.title FROM albums AS T1 JOIN artists AS T2 ON T1.artist_id = T2.id WHERE T2.name = "Aerosmith";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What are the titles of all the Aerosmith albums?

SELECT T1.title FROM albums AS T1 JOIN artists AS T2 ON T1.artist_id = T2.id WHERE T2.name = "Aerosmith";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- How many albums does Billy Cobham has?

SELECT count(*) FROM albums AS T1 JOIN artists AS T2 ON T1.artist_id = T2.id WHERE T2.name = "Billy Cobham";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- How many albums has Billy Cobam released?

SELECT count(*) FROM albums AS T1 JOIN artists AS T2 ON T1.artist_id = T2.id WHERE T2.name = "Billy Cobham";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- Eduardo Martins is a customer at which company?

SELECT company FROM customers WHERE first_name = "Eduardo" AND last_name = "Martins";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What is the company where Eduardo Martins is a customer?

SELECT company FROM customers WHERE first_name = "Eduardo" AND last_name = "Martins";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What is Astrid Gruber's email and phone number?

SELECT email , phone FROM customers WHERE first_name = "Astrid" AND last_name = "Gruber";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What is the email and phone number of Astrid Gruber the customer?

SELECT email , phone FROM customers WHERE first_name = "Astrid" AND last_name = "Gruber";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- How many customers live in Prague city?

SELECT count(*) FROM customers WHERE city = "Prague";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- How many customers live in the city of Prague?

SELECT count(*) FROM customers WHERE city = "Prague";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- How many customers in state of CA?

SELECT count(*) FROM customers WHERE state = "CA";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- How many customers are from California?

SELECT count(*) FROM customers WHERE state = "CA";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What country does Roberto Almeida live?

SELECT country FROM customers WHERE first_name = "Roberto" AND last_name = "Almeida";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- In which country does Roberto Almeida?

SELECT country FROM customers WHERE first_name = "Roberto" AND last_name = "Almeida";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- List the name of albums that are released by aritist whose name has 'Led'

SELECT T2.title FROM artists AS T1 JOIN albums AS T2 ON T1.id = T2.artist_id WHERE T1.name LIKE '%Led%';

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What is the title of the album that was released by the artist whose name has the phrase 'Led'?

SELECT T2.title FROM artists AS T1 JOIN albums AS T2 ON T1.id = T2.artist_id WHERE T1.name LIKE '%Led%';

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- How many customers does Steve Johnson support?

SELECT count(*) FROM employees AS T1 JOIN customers AS T2 ON T2.support_rep_id = T1.id WHERE T1.first_name = "Steve" AND T1.last_name = "Johnson";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What is the count of customers that Steve Johnson supports?

SELECT count(*) FROM employees AS T1 JOIN customers AS T2 ON T2.support_rep_id = T1.id WHERE T1.first_name = "Steve" AND T1.last_name = "Johnson";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What is the title, phone and hire date of Nancy Edwards?

SELECT title , phone , hire_date FROM employees WHERE first_name = "Nancy" AND last_name = "Edwards";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What is the title, phone number and hire date for the employee named Nancy Edwards?

SELECT title , phone , hire_date FROM employees WHERE first_name = "Nancy" AND last_name = "Edwards";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- find the full name of employees who report to Nancy Edwards?

SELECT T2.first_name , T2.last_name FROM employees AS T1 JOIN employees AS T2 ON T1.id = T2.reports_to WHERE T1.first_name = "Nancy" AND T1.last_name = "Edwards";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What is the first and last name of the employee who reports to Nancy Edwards?

SELECT T2.first_name , T2.last_name FROM employees AS T1 JOIN employees AS T2 ON T1.id = T2.reports_to WHERE T1.first_name = "Nancy" AND T1.last_name = "Edwards";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What is the address of employee Nancy Edwards?

SELECT address FROM employees WHERE first_name = "Nancy" AND last_name = "Edwards";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What is Nancy Edwards's address?

SELECT address FROM employees WHERE first_name = "Nancy" AND last_name = "Edwards";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- Find the full name of employee who supported the most number of customers.

SELECT T1.first_name , T1.last_name FROM employees AS T1 JOIN customers AS T2 ON T1.id = T2.support_rep_id GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What is the full name of the employee who has the most customers?

SELECT T1.first_name , T1.last_name FROM employees AS T1 JOIN customers AS T2 ON T1.id = T2.support_rep_id GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1;

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- How many employees are living in Canada?

SELECT count(*) FROM employees WHERE country = "Canada";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- How many employees live in Canada?

SELECT count(*) FROM employees WHERE country = "Canada";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What is employee Nancy Edwards's phone number?

SELECT phone FROM employees WHERE first_name = "Nancy" AND last_name = "Edwards";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- What is the the phone number of Nancy Edwards?

SELECT phone FROM employees WHERE first_name = "Nancy" AND last_name = "Edwards";

-- Database schema | artists : id [ INT ] primary_key , name [ TEXT ] | sqlite_sequence : name [ TEXT ] , seq [ TEXT ] | albums : id [ INT ] primary_key , title [ TEXT ] , artist_id [ INT ] albums.artist_id = artists.id | employees : id [ INT ] primary_key , last_name [ TEXT ] , first_name [ TEXT ] , title [ TEXT ] , reports_to [ INT ] employees.reports_to = employees.id , birth_date [ TEXT ] , hire_date [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] | customers : id [ INT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , company [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , country [ TEXT ] , postal_code [ TEXT ] , phone [ TEXT ] , fax [ TEXT ] , email [ TEXT ] , support_rep_id [ INT ] customers.support_rep_id = employees.id | genres : id [ INT ] primary_key , name [ TEXT ] | invoices : id [ INT ] primary_key , customer_id [ INT ] invoices.customer_id = customers.id , invoice_date [ TEXT ] , billing_address [ TEXT ] , billing_city [ TEXT ] , billing_state [ TEXT ] , billing_country [ TEXT ] , billing_postal_code [ TEXT ] , total [ INT ] | media_types : id [ INT ] primary_key , name [ TEXT ] | tracks : id [ INT ] primary_key , name [ TEXT ] , album_id [ INT ] tracks.album_id = albums.id , media_type_id [ INT ] tracks.media_type_id = media_types.id , genre_id [ INT ] tracks.genre_id = genres.id , composer [ TEXT ] , milliseconds [ INT ] , bytes [ INT ] , unit_price [ INT ] | invoice_lines : id [ INT ] primary_key , invoice_id [ INT ] invoice_lines.invoice_id = invoices.id , track_id [ INT ] invoice_lines.track_id = tracks.id , unit_price [ INT ] , quantity [ INT ] | playlists : id [ INT ] primary_key , name [ TEXT ] | playlist_tracks : playlist_id [ INT ] primary_key playlist_tracks.playlist_id = playlists.id , track_id [ INT ] playlist_tracks.track_id = tracks.id | -- -- Who is the youngest employee in the company? List employee's first and last name.

SELECT first_name , last_name FROM employees ORDER BY birth_date DESC LIMIT 1;