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.

Input: Consider Input: Step 1: For each row in Addresses table, find corresponding rows in Drama_Workshop_Groups table and in Stores table.
Step 2: find the number of different Currency_Code in the results of step 1 whose Stores's Marketing_Region_Code equals IN

Output: SELECT Count ( DISTINCT T2.Currency_Code ) FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T2.Address_ID = T1.Address_ID JOIN Stores AS T3 ON T1.Address_ID = T3.Address_ID WHERE T3.Marketing_Region_Code = "IN"


Input: Consider Input: Step 1: For each row in AssignedTo table, find corresponding rows in Scientists table and in Projects table.
Step 2: find Scientists's Name of the results of step 1 with largest value of Hours

Output: SELECT T1.Name FROM Scientists AS T1 JOIN Projects AS T2 JOIN AssignedTo AS T3 ON T1.SSN = T3.Scientist AND T3.Project = T2.Code ORDER BY T2.Hours Desc LIMIT 1


Input: Consider Input: Step 1: find the City of branch table.
Step 2: For each row in branch table, find the corresponding rows in purchase table.
Step 3: find City of the results of step 2 whose Total_pounds greater than 100.
Step 4: show the rows that are in the results of step 1 but not in the results of step 3


Output: SELECT T1.City FROM branch AS T1 EXCEPT SELECT T1.City FROM branch AS T1 JOIN purchase AS T2 ON T1.Branch_ID = T2.Branch_ID WHERE T2.Total_pounds > 100