Using A Subquery in the FROM clause

Derived Tables in From Statement

This is the fourth in a series of articles about subqueries.  In this article we discuss using a subquery in the FROM clause.  Other articles discuss their uses in other clauses.

All the examples for this lesson are based on Microsoft SQL Server Management Studio and the AdventureWorks2012 database.  You can get started using these free tools using my Guide Getting Started Using SQL Server.

Using a Suquery in the FROM clause

When subqueries are used in the FROM clause they act as a table that you can use to select columns and join to other tables.  Because of this some people argue they really aren’t subqueries, but derived tables.  I like to think of derived tables as a special case of subqueries… subqueries used in the FROM clause!

Regardless of what you call them, there are some unique features derived tables bring to the SQL world that are worth mentioning.

Before we jump into those though, let’s start with the basics the get familiar with them.

Simple Example using a Subquery

Like all subqueries, those used in the FROM clause to create a derived table are enclosed by parenthesis.  Unlike other subqueries though, a derived table must be aliased so that you can reference its results.

In this example we’re going to select territories and their average bonuses.

SELECT TerritoryID,
FROM   (SELECT   TerritoryID,
                 Avg(Bonus) AS AverageBonus
        FROM     Sales.SalesPerson
        GROUP BY TerritoryID) AS TerritorySummary
ORDER BY AverageBonus

The subquery alias name is TerritorySummary and is highlighted in red.

When this query run, the subquery is first run and the results created.  The results are then used in the FROM clause as if it were a table.  When used by themselves these types of queries aren’t very fascinating; however, when used in combination with other tables they are.

Let’s add a join to our example above.

SELECT SP.TerritoryID,
FROM   (SELECT   TerritoryID,
                 AVG(Bonus) AS AverageBonus
        FROM     Sales.SalesPerson
        GROUP BY TerritoryID) AS TerritorySummary
       Sales.SalesPerson AS SP
       ON SP.TerritoryID = TerritorySummary.TerritoryID

From a data modeling point of view this query looks like the following:

Derived Table in Join

There is a relationship between the TerritorySummary and the joined table SalesPerson.  Of course TerritorySummary only exists as part of this SQL statement since it is derived.

By using derived tables we are able to summarize using one set of fields and report on another.  In this case we’re summarizing by TerritoryID but report by each sales person (BusinessEntityID).

You may think you could simple replicate this query using an INNER JOIN , but you can’t as the final GROUP BY for the query would have to include BusinessEntityID, which would then throw-off the Average calculation.

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Things you can do with Derived Table Subqueries.

In many cases table subqueries can be “flattened.”  That is replaced by equivalent joins; however, there are times, where a subquery in the FROM clause shines.  Here are a couple of example I thought of.

Derived Tables and Aggregate Functions

When working with aggregate functions you may have wanted to first summarize some values and then get the overall average.  For instance, suppose you want to know the average bonus given for all territories.

If you run

FROM     Sales.SalesPerson

You’ll get the following error:  Cannot perform an aggregate function on an expression containing an aggregate or a subquery.

You may think you can simply run

FROM   Sales.SalesPerson

But that calculates the average for bonus for each sales person.  To get the average bonus for territories you first have to calculate the total bonus by territory, and then take the average.

Once way to do this is with derived tables.  In the following example the derive table is used to summarize sales by territory.  These are then fed into the Average function to obtain an overall average.

SELECT AVG(B.TotalBonus)
FROM   (SELECT   TerritoryID,
                 SUM(Bonus) AS TotalBonus
        FROM     Sales.SalesPerson
        GROUP BY TerritoryID) AS B

Joining Derived Tables

You can also join two derived tables together!  This can come in handy when you need to aggregate data from two separate tables and combine them together.  In the following example we’re going to do a comparison of Territory Sales to Territory Sales Quotas.  We’ll do this by summing sales figures and quotas by Territory.

Here are the two Select statements we’ll use to summarize the sales figures:

SELECT   TerritoryID,
         SUM(SalesQuota) AS TerritoryQuota
FROM     Sales.SalesPerson
GROUP BY TerritoryID


SELECT   SOH.TerritoryID,
         SUM(SOH.TotalDue) AS TerritorySales
FROM     Sales.SalesOrderHeader AS SOH

To obtain the comparison we’ll match these two results together by territory ID.  By using FROM clause subqueries our SQL to do the comparison is

SELECT Quota.TerritoryID,
       Sales.TerritorySales - Quota.TerritoryQuota
FROM   (SELECT   TerritoryID,
                 SUM(SalesQuota) AS TerritoryQuota
        FROM     Sales.SalesPerson
        GROUP BY TerritoryID) AS Quota
       (SELECT   SOH.TerritoryID,
                 SUM(SOH.TotalDue) AS TerritorySales
        FROM     Sales.SalesOrderHeader AS SOH
        GROUP BY SOH.TerritoryID) AS Sales
       ON Quota.TerritoryID = Sales.TerritoryID

You can see the statement to summarize sales quotas is in red and the statement summarize actual sales in green.

Final Comments

In many cases what you can do with derived tables you can do with joins; however, there are special cases where this isn’t the case.  To me the best explanation is when you need to use two aggregate functions, such as taking the average of a sum.

Keep in mind when writing SQL it is best to go with the simplest and easiest solution, which in my opinion is usually an INNER JOIN, but not every solution is solved as such.  The double aggregation problem is a good example where a derived table shines.

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Kris Wenzel

Kris Wenzel has been working with databases over the past 28 years as a developer, analyst, and DBA.He has a BSE in Computer Engineering from the University of Michigan and a MBA from the University of Notre Dame.Kris has written hundreds of blog articles and many online courses. He loves helping others learn SQL.

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