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# Counts from two different tables in one query

Based on these entities:

```EMPLOYEE
FNAME
LNAME
SSN          PK
DNO              FK to DEPARTMENT.DNUMBER

DEPARTMENT
DNAME
DNUMBER      PK
MGRSTARTDATE

DEPT_LOCATIONS

DNUMBER      PK, FK to DEPARTMENT.DNUMBER
DLOCATION    PK```

How would I write this query in SQL:

"For each department with more than one location, retrieve the department's name, department number, and the number of employees who work for the department."

The first count we want is for departments with more than one location. We don't actually want the count itself, we just need to use it in the HAVING clause when we GROUP BY department:

```select dnumber
from dept_locations
group
by dnumber
having count(*) > 1 ```

The second count is for each department, where we need the count of its employees. For this, we need to join the department and employee tables, and use GROUP BY again, but this time, it's the employee rows that are being counted:

```select dname
, dnumber
, count(employees.dno)
from department
left outer
join employees
on department.dnumber = employees.dno
group
by dname
, dnumber ```

Note that a LEFT OUTER JOIN is used, so that we get a count for all departments, including any with no employees. If a department has no employees, count(employees.dno) will be 0, while count(*) would be 1, because even if a department has no employees, there's still a row for it in the result set (in other words, each group in an outer join has at least one row).

Finally, we incorporate the first query as a subquery in the second, so that it qualifies which departments we're interested in:

```select dname
, dnumber
, count(employees.dno)
from department
left outer
join employees
on department.dnumber = employees.dno
where dnumber in
( select dnumber
from dept_locations
group by dnumber
having count(*) > 1  )
group
by dname
, dnumber ```

Since the subquery is not correlated, the database can execute it ahead of the main query, and simply "feed" the main query a list of department numbers in the WHERE clause.

This was last published in May 2003

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