Task: In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Categories: Text to Code
Domains: SQL

Positive examples:
input: Step 1: For each row in Movie table, find the corresponding rows in Rating table.
Step 2: find each value of director in the results of step 1 along with the summation of stars of the corresponding rows to each value
output: SELECT T1.title , Sum ( T2.stars ) FROM Movie AS T1 JOIN Rating AS T2 ON T1.mID = T2.mID GROUP BY T1.director
explanation: This SQL statement uses a "JOIN" statement to combine the "Movie" and "Rating" table then find the corresponding rows by comparing the movie id, which accomplishes step 1. Finally the SQL statement groups the values by each director and returns the title of each movie and the sum of all the stars, which accomplishes step 2. This is a good example.; input: find the first_name, last_name of Customers table for which email_address equals Lockmanfurt
output: SELECT first_name , last_name FROM Customers WHERE email_address = Lockmanfurt
explanation: This SQL statement selects the first and last name of every customer with an email address equal to Lockmanfurt. This is a good example.

Negative examples:
input: Step 1: For each row in Apartments table, find the corresponding rows in Apartment_Bookings table.
Step 2: find the average bathroom_count in the results of step 1 whose booking_status_code equals Provisional
output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id
explanation: The SQL statement did not check for rows where the "booking_status_code" was equal to "Provisional"; input: find each value of product_name in Products table along with the summation of the corresponding rows to each value
output: SELECT product_name , Sum ( * ) FROM Products
explanation: This SQL statement does not group the product by the produce name and just returns every row. This is a bad example.