Calculating Average of Multiple Table Columns
In the context of database table operations, it is often necessary to calculate average values across multiple columns. This becomes particularly useful when we need to summarize or analyze data. Let's consider a specific example to demonstrate the process.
Scenario:
We have a table named "Request" with columns representing values R1, R2, R3, R4, and R5. We want to determine the average of these values for each record in the table.
Initial Approach:
To achieve this, you initially attempted the following query:
Select Req_ID, Avg(R1+R2+R3+R4+R5) as Average from Request Group by Req_ID
However, this query doesn't provide the intended result. It calculates the sum of the values, not the average.
Cause:
When using the AVG aggregate function, it's important to ensure that the argument provided is an expression that evaluates to a single numeric value. In this case, you are adding the values of multiple columns, which results in a sum.
Solution:
There are two methods you can employ to calculate the average correctly:
1. Using a Subquery (2008 syntax):
SELECT *, (SELECT AVG(c) FROM (VALUES(R1), (R2), (R3), (R4), (R5)) T (c)) AS [Average] FROM Request
In this approach, a subquery is used to calculate the average. The subquery selects the values from each column and treats them as separate rows. Then, the AVG aggregate function is applied to compute the average.
2. Using a UNION in the Subquery (2005 syntax):
SELECT *, (SELECT AVG(c) FROM (SELECT R1 UNION ALL SELECT R2 UNION ALL SELECT R3 UNION ALL SELECT R4 UNION ALL SELECT R5) T (c)) AS [Average] FROM Request
This method uses a UNION to combine all the values from the different columns into a single column. The AVG aggregate function is then applied to the combined column to calculate the average.
Result:
Both approaches will provide the correct average values for each record in the Request table. By following any of these solutions, you can accurately calculate the average of multiple table columns and obtain the desired result.
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