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stringlengths 236
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-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find all the distinct district names ordered by city area in descending.
| SELECT DISTINCT District_name FROM district ORDER BY city_area DESC; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What are the different district names in order of descending city area?
| SELECT DISTINCT District_name FROM district ORDER BY city_area DESC; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find the list of page size which have more than 3 product listed
| SELECT max_page_size FROM product GROUP BY max_page_size HAVING count(*) > 3; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What is the maximum page size for everything that has more than 3 products listed?
| SELECT max_page_size FROM product GROUP BY max_page_size HAVING count(*) > 3; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find the name and population of district with population between 200000 and 2000000
| SELECT District_name , City_Population FROM district WHERE City_Population BETWEEN 200000 AND 2000000; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What are the district names and city populations for all districts that between 200,000 and 2,000,000 residents?
| SELECT District_name , City_Population FROM district WHERE City_Population BETWEEN 200000 AND 2000000; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find the name all districts with city area greater than 10 or population larger than 100000
| SELECT district_name FROM district WHERE city_area > 10 OR City_Population > 100000; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What are the names of all districts with a city area greater than 10 or have more than 100000 people living there?
| SELECT district_name FROM district WHERE city_area > 10 OR City_Population > 100000; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Which district has the largest population?
| SELECT district_name FROM district ORDER BY city_population DESC LIMIT 1; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What is the name of the district with the most residents?
| SELECT district_name FROM district ORDER BY city_population DESC LIMIT 1; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Which district has the least area?
| SELECT district_name FROM district ORDER BY city_area ASC LIMIT 1; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What is the name of the district with the smallest area?
| SELECT district_name FROM district ORDER BY city_area ASC LIMIT 1; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find the total population of the top 3 districts with the largest area.
| SELECT sum(city_population) FROM district ORDER BY city_area DESC LIMIT 3; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What is the total number of residents for the districts with the 3 largest areas?
| SELECT sum(city_population) FROM district ORDER BY city_area DESC LIMIT 3; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find all types of store and number of them.
| SELECT TYPE , count(*) FROM store GROUP BY TYPE; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- For each type of store, how many of them are there?
| SELECT TYPE , count(*) FROM store GROUP BY TYPE; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find the names of all stores in Khanewal District.
| SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t3.district_name = "Khanewal District"; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What are the names of all the stores located in Khanewal District?
| SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t3.district_name = "Khanewal District"; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find all the stores in the district with the most population.
| SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id WHERE district_id = (SELECT district_id FROM district ORDER BY city_population DESC LIMIT 1); |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What are the names of all the stores in the largest district by population?
| SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id WHERE district_id = (SELECT district_id FROM district ORDER BY city_population DESC LIMIT 1); |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Which city is the headquarter of the store named "Blackville" in?
| SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.store_name = "Blackville"; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What city is the headquarter of the store Blackville?
| SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.store_name = "Blackville"; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find the number of stores in each city.
| SELECT t3.headquartered_city , count(*) FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- How many stores are headquarted in each city?
| SELECT t3.headquartered_city , count(*) FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find the city with the most number of stores.
| SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What is the city with the most number of flagship stores?
| SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What is the average pages per minute color?
| SELECT avg(pages_per_minute_color) FROM product; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What is the average number of pages per minute color?
| SELECT avg(pages_per_minute_color) FROM product; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What products are available at store named "Miramichi"?
| SELECT t1.product FROM product AS t1 JOIN store_product AS t2 ON t1.product_id = t2.product_id JOIN store AS t3 ON t2.store_id = t3.store_id WHERE t3.store_name = "Miramichi"; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What products are sold at the store named Miramichi?
| SELECT t1.product FROM product AS t1 JOIN store_product AS t2 ON t1.product_id = t2.product_id JOIN store AS t3 ON t2.store_id = t3.store_id WHERE t3.store_name = "Miramichi"; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find products with max page size as "A4" and pages per minute color smaller than 5.
| SELECT product FROM product WHERE max_page_size = "A4" AND pages_per_minute_color < 5; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What are the products with the maximum page size A4 that also have a pages per minute color smaller than 5?
| SELECT product FROM product WHERE max_page_size = "A4" AND pages_per_minute_color < 5; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find products with max page size as "A4" or pages per minute color smaller than 5.
| SELECT product FROM product WHERE max_page_size = "A4" OR pages_per_minute_color < 5; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What are the products with the maximum page size eqal to A4 or a pages per minute color less than 5?
| SELECT product FROM product WHERE max_page_size = "A4" OR pages_per_minute_color < 5; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find all the product whose name contains the word "Scanner".
| SELECT product FROM product WHERE product LIKE "%Scanner%"; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What are all of the products whose name includes the substring "Scanner"?
| SELECT product FROM product WHERE product LIKE "%Scanner%"; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find the most prominent max page size among all the products.
| SELECT max_page_size FROM product GROUP BY max_page_size ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What is the most common maximum page size?
| SELECT max_page_size FROM product GROUP BY max_page_size ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find the name of the products that are not using the most frequently-used max page size.
| SELECT product FROM product WHERE product != (SELECT max_page_size FROM product GROUP BY max_page_size ORDER BY count(*) DESC LIMIT 1); |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What are the names of all products that are not the most frequently-used maximum page size?
| SELECT product FROM product WHERE product != (SELECT max_page_size FROM product GROUP BY max_page_size ORDER BY count(*) DESC LIMIT 1); |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find the total population of the districts where the area is bigger than the average city area.
| SELECT sum(city_population) FROM district WHERE city_area > (SELECT avg(city_area) FROM district); |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What is the total population for all the districts that have an area larger tahn the average city area?
| SELECT sum(city_population) FROM district WHERE city_area > (SELECT avg(city_area) FROM district); |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- Find the names of districts where have both city mall and village store type stores.
| SELECT t3.District_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.Type = "City Mall" INTERSECT SELECT t3.District_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.Type = "Village Store"; |
-- Database schema
| product : product_id [ INT ] primary_key , product [ TEXT ] , dimensions [ TEXT ] , dpi [ INT ] , pages_per_minute_color [ INT ] , max_page_size [ TEXT ] , interface [ TEXT ] | store : Store_ID [ INT ] primary_key , Store_Name [ TEXT ] , Type [ TEXT ] , Area_size [ INT ] , Number_of_product_category [ INT ] , Ranking [ INT ] | district : District_ID [ INT ] primary_key , District_name [ TEXT ] , Headquartered_City [ TEXT ] , City_Population [ INT ] , City_Area [ INT ] | store_product : Store_ID [ INT ] primary_key store_product.Store_ID = store.Store_ID , Product_ID [ INT ] | store_district : Store_ID [ INT ] primary_key store_district.Store_ID = store.Store_ID , District_ID [ INT ] store_district.District_ID = district.District_ID |
-- -- What are the names of the districts that have both mall and village store style shops?
| SELECT t3.District_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.Type = "City Mall" INTERSECT SELECT t3.District_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.Type = "Village Store"; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What is the total enrollment number of all colleges?
| SELECT sum(enr) FROM College; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- How many students are enrolled in college?
| SELECT sum(enr) FROM College; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What is the average enrollment number?
| SELECT avg(enr) FROM College; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- How many students, on average, does each college have enrolled?
| SELECT avg(enr) FROM College; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- How many colleges in total?
| SELECT count(*) FROM College; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- How many different colleges are there?
| SELECT count(*) FROM College; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- How many players have more than 1000 hours of training?
| SELECT count(*) FROM Player WHERE HS > 1000; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- How many different players trained for more than 1000 hours?
| SELECT count(*) FROM Player WHERE HS > 1000; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- How many colleges has more than 15000 students?
| SELECT count(*) FROM College WHERE enr > 15000; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What is the number of colleges with a student population greater than 15000?
| SELECT count(*) FROM College WHERE enr > 15000; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What is the average training hours of all players?
| SELECT avg(HS) FROM Player; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- How many hours do the players train on average?
| SELECT avg(HS) FROM Player; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- Find the name and training hours of players whose hours are below 1500.
| SELECT pName , HS FROM Player WHERE HS < 1500; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What are the names and number of hours spent training for each player who trains for less than 1500 hours?
| SELECT pName , HS FROM Player WHERE HS < 1500; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- How many different colleges do attend the tryout test?
| SELECT count(DISTINCT cName) FROM tryout; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- How many different colleges were represented at tryouts?
| SELECT count(DISTINCT cName) FROM tryout; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What are the unique types of player positions in the tryout?
| SELECT count(DISTINCT pPos) FROM tryout; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What are the different types of player positions?
| SELECT count(DISTINCT pPos) FROM tryout; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- How many students got accepted after the tryout?
| SELECT count(*) FROM tryout WHERE decision = 'yes'; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- How many students received a yes from tryouts?
| SELECT count(*) FROM tryout WHERE decision = 'yes'; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- How many students whose are playing the role of goalie?
| SELECT count(*) FROM tryout WHERE pPos = 'goalie'; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What is the number of students playing as a goalie?
| SELECT count(*) FROM tryout WHERE pPos = 'goalie'; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- Find the max, average and min training hours of all players.
| SELECT avg(HS) , max(HS) , min(HS) FROM Player; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What is the average, maximum, and minimum for the number of hours spent training?
| SELECT avg(HS) , max(HS) , min(HS) FROM Player; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What is average enrollment of colleges in the state FL?
| SELECT avg(enr) FROM College WHERE state = 'FL'; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What is average number of students enrolled in Florida colleges?
| SELECT avg(enr) FROM College WHERE state = 'FL'; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What are the names of players whose training hours is between 500 and 1500?
| SELECT pName FROM Player WHERE HS BETWEEN 500 AND 1500; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What are the names of players who train between 500 and 1500 hours?
| SELECT pName FROM Player WHERE HS BETWEEN 500 AND 1500; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- Find the players whose names contain letter 'a'.
| SELECT DISTINCT pName FROM Player WHERE pName LIKE '%a%'; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- Who are the players that have names containing the letter a?
| SELECT DISTINCT pName FROM Player WHERE pName LIKE '%a%'; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- Find the name, enrollment of the colleges whose size is bigger than 10000 and location is in state LA.
| SELECT cName , enr FROM College WHERE enr > 10000 AND state = "LA"; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What are the names and enrollment numbers for colleges that have more than 10000 enrolled and are located in Louisiana?
| SELECT cName , enr FROM College WHERE enr > 10000 AND state = "LA"; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- List all information about college sorted by enrollment number in the ascending order.
| SELECT * FROM College ORDER BY enr; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What information do you have on colleges sorted by increasing enrollment numbers?
| SELECT * FROM College ORDER BY enr; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- List the name of the colleges whose enrollment is greater 18000 sorted by the college's name.
| SELECT cName FROM College WHERE enr > 18000 ORDER BY cName; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What is the name of every college in alphabetical order that has more than 18000 students enrolled?
| SELECT cName FROM College WHERE enr > 18000 ORDER BY cName; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- Find the name of players whose card is yes in the descending order of training hours.
| SELECT pName FROM Player WHERE yCard = 'yes' ORDER BY HS DESC; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What are the name of the players who received a card in descending order of the hours of training?
| SELECT pName FROM Player WHERE yCard = 'yes' ORDER BY HS DESC; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- Find the name of different colleges involved in the tryout in alphabetical order.
| SELECT DISTINCT cName FROM tryout ORDER BY cName; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What are the different names of the colleges involved in the tryout in alphabetical order?
| SELECT DISTINCT cName FROM tryout ORDER BY cName; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- Which position is most popular among players in the tryout?
| SELECT pPos FROM tryout GROUP BY pPos ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What was the most popular position at tryouts?
| SELECT pPos FROM tryout GROUP BY pPos ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- Find the number of students who participate in the tryout for each college ordered by descending count.
| SELECT count(*) , cName FROM tryout GROUP BY cName ORDER BY count(*) DESC; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- How many students participated in tryouts for each college by descennding count?
| SELECT count(*) , cName FROM tryout GROUP BY cName ORDER BY count(*) DESC; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What is minimum hours of the students playing in different position?
| SELECT min(T2.HS) , T1.pPos FROM tryout AS T1 JOIN player AS T2 ON T1.pID = T2.pID GROUP BY T1.pPos; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- For each position, what is the minimum time students spent practicing?
| SELECT min(T2.HS) , T1.pPos FROM tryout AS T1 JOIN player AS T2 ON T1.pID = T2.pID GROUP BY T1.pPos; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What are the names of schools with the top 3 largest size?
| SELECT cName FROM college ORDER BY enr DESC LIMIT 3; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What are the names of the schools with the top 3 largest class sizes?
| SELECT cName FROM college ORDER BY enr DESC LIMIT 3; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What is the name of school that has the smallest enrollment in each state?
| SELECT cName , state , min(enr) FROM college GROUP BY state; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What is the name of the school with smallest enrollment size per state?
| SELECT cName , state , min(enr) FROM college GROUP BY state; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- Find the states where have some college students in tryout.
| SELECT DISTINCT state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What are the different states that have students trying out?
| SELECT DISTINCT state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- Find the states where have some college students in tryout and their decisions are yes.
| SELECT DISTINCT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = 'yes'; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What are the different states that had students successfully try out?
| SELECT DISTINCT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = 'yes'; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- Find the name and college of students whose decisions are yes in the tryout.
| SELECT T1.pName , T2.cName FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID WHERE T2.decision = 'yes'; |
-- Database schema
| College : cName [ TEXT ] primary_key , state [ TEXT ] , enr [ INT ] | Player : pID [ INT ] primary_key , pName [ TEXT ] , yCard [ TEXT ] , HS [ INT ] | Tryout : pID [ INT ] primary_key Tryout.pID = Player.pID , cName [ TEXT ] Tryout.cName = College.cName , pPos [ TEXT ] , decision [ TEXT ] |
-- -- What are the names of all the players who received a yes during tryouts, and also what are the names of their colleges?
| SELECT T1.pName , T2.cName FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID WHERE T2.decision = 'yes'; |
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