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.

[Q]: Step 1: find the number of rows of each value of name in buildings table.
Step 2: find name of buildings table with largest value in the results of step 1
[A]: SELECT name FROM buildings GROUP BY name ORDER BY Count ( * ) Desc LIMIT 1


[Q]: Step 1: find the number of rows of each value of cmi_cross_ref_id in CMI_Cross_References table.
Step 2: find cmi_cross_ref_id, source_system_code in CMI_Cross_References table whose corresponding value in step 1 is greater than or equals 1
[A]: SELECT cmi_cross_ref_id , source_system_code FROM CMI_Cross_References GROUP BY cmi_cross_ref_id HAVING Count ( * ) > = 1


[Q]: Step 1: find the loan's cust_ID of loan table for which loan_type equals Mortgages.
Step 2: find the average credit_score in customer table whose cust_name not one of the results of step 1
[A]:
SELECT Avg ( T1.credit_score ) FROM customer AS T1 WHERE T1.cust_name NOT IN ( SELECT T2.cust_ID FROM loan AS T2 WHERE T2.loan_type = "Mortgages" )