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.

Example Input: Step 1: For each row in Product_Characteristics table, find corresponding rows in Characteristics table and in Products table.
Step 2: find characteristic_name, other_characteristic_details, characteristic_data_type of the results of step 1 whose product_name equals cumin.
Step 3: find the characteristic_name, other_characteristic_details, characteristic_data_type of Characteristics table.
Step 4: show the rows that are in the results of step 2 but not in the results of step 3
Example Output: SELECT T1.characteristic_name , T1.other_characteristic_details , T1.characteristic_data_type FROM Characteristics AS T1 JOIN Products AS T2 JOIN Product_Characteristics AS T3 ON T1.characteristic_id = T3.characteristic_id AND T3.product_id = T2.product_id WHERE T2.product_name = "cumin" EXCEPT SELECT T1.characteristic_name , T1.other_characteristic_details , T1.characteristic_data_type FROM Characteristics AS T1

Example Input: Step 1: For each row in Ref_Locations table, find the corresponding rows in Document_Locations table.
Step 2: find Date_in_Location_From, Date_in_Locaton_To of the results of step 1 whose Location_Name equals Robin CV
Example Output: SELECT T2.Date_in_Location_From , T2.Date_in_Locaton_To FROM Ref_Locations AS T1 JOIN Document_Locations AS T2 ON T1.Location_Code = T2.Location_Code WHERE T1.Location_Name = "Robin CV"

Example Input: Step 1: For each row in departments table, find the corresponding rows in employees table.
Step 2: find FIRST_NAME, LAST_NAME of the results of step 1 whose DEPARTMENT_NAME equals 70 or DEPARTMENT_NAME equals 90
Example Output:
SELECT T2.FIRST_NAME , T2.LAST_NAME FROM departments AS T1 JOIN employees AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID WHERE T1.DEPARTMENT_NAME = 90 OR T1.DEPARTMENT_NAME = 70