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 broadcast table, find corresponding rows in program table and in channel table.
Step 2: find channel's Owner of the results of step 1 whose program's Owner equals Morning.
Step 3: For each row in program table, find the corresponding rows in broadcast table.
Step 4: find program's Owner of the results of step 3 whose Time_of_day equals Night.
Step 5: show the rows that are in both the results of step 2 and the results of step 4

Output: SELECT T2.Owner FROM program AS T1 JOIN channel AS T2 JOIN broadcast AS T3 ON T1.Program_ID = T3.Program_ID AND T3.Channel_ID = T2.Channel_ID WHERE T1.Owner = "Morning" INTERSECT SELECT T1.Owner FROM program AS T1 JOIN broadcast AS T3 ON T1.Program_ID = T3.Program_ID WHERE T3.Time_of_day = "Night"


Input: Consider Input: find City of city table whose Regional_Population greater than 5000000 or Regional_Population greater than 10000000

Output: SELECT City FROM city WHERE Regional_Population > 10000000 OR Regional_Population > 5000000


Input: Consider Input: Step 1: For each row in Statements table, find corresponding rows in Documents table and in Accounts table.
Step 2: find the number of rows of each value of Document_ID in the results of step 1.
Step 3: find Accounts's Statement_ID, Statement_Details of the results of step 1 with largest value in the results of step 2


Output: SELECT T3.Statement_ID , T2.Statement_Details FROM Documents AS T1 JOIN Statements AS T2 ON T1.Document_ID = T2.Statement_ID AND T1.Document_ID = T2.Statement_ID JOIN Accounts AS T3 ON T2.Statement_ID = T3.Statement_ID GROUP BY T1.Document_ID ORDER BY Count ( * ) Desc LIMIT 1