Accurate Unique Item Counts in Access Queries
Efficiently counting unique entries within an Access database field is a frequent requirement. A naive approach using the standard COUNT(*)
function often yields inaccurate results due to its inclusion of duplicate values.
The Problem
Consider a table, "table1," containing duplicate entries in the "Name" field. The query:
<code class="language-sql">SELECT Count(*) FROM table1;</code>
will return the total number of rows, not the number of unique names.
The Correct Approach
The ideal solution involves the COUNT(DISTINCT field_name)
function. However, this function directly doesn't work in Access.
The Solution: Using a Subquery
To accurately count unique items, employ a subquery:
<code class="language-sql">(SELECT DISTINCT Name FROM table1)</code>
Alias the subquery: Assign an alias (e.g., "T") to this subquery for clarity and proper referencing.
Count the distinct values: Use COUNT(*)
on the aliased subquery to count the unique values:
<code class="language-sql">SELECT Count(*) AS N FROM (SELECT DISTINCT Name FROM table1) AS T;</code>
This revised query will correctly return the count of unique names.
Further Reading
For comprehensive guidance on counting unique values in Microsoft Access, consult this helpful resource: Counting Unique Values in Access
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