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 Roles table, find the corresponding rows in Users table.
Step 2: find the number of rows of each value of Users's role_code in the results of step 1.
Step 3: find role_description of step 1 results with largest value in the results of step 2

Output: SELECT T1.role_description FROM Roles AS T1 JOIN Users AS T2 ON T1.role_code = T2.role_code GROUP BY T2.role_code ORDER BY Count ( * ) Desc LIMIT 1


Input: Consider Input: Step 1: For each row in Roles table, find the corresponding rows in Employees table.
Step 2: find Employee_ID of the results of step 1 whose Role_Name not equals Human Resource

Output: SELECT T2.Employee_ID FROM Roles AS T1 JOIN Employees AS T2 ON T1.Role_Code = T2.Role_Code WHERE T1.Role_Name ! = "Human Resource"


Input: Consider Input: Step 1: For each row in Skills_Required_To_Fix table, find corresponding rows in Skills table and in Part_Faults table.
Step 2: find the number of rows of each value of Part_Faults's part_fault_id in the results of step 1.
Step 3: find Part_Faults's part_fault_id, skill_description, part_id of the results of step 1 with largest value in the results of step 2


Output: SELECT T2.part_fault_id , T1.skill_description , T2.part_id FROM Skills AS T1 JOIN Part_Faults AS T2 JOIN Skills_Required_To_Fix AS T3 ON T1.skill_id = T3.skill_id AND T3.part_fault_id = T2.part_fault_id GROUP BY T2.part_fault_id ORDER BY Count ( * ) Desc LIMIT 1