When working with SQL Server, you may often need to count the number of unique values in a specific column. This is useful for analyzing data, detecting duplicates, and understanding dataset distributions.
Using COUNT(DISTINCT column_name)
To count the number of unique values in a column, SQL Server provides the COUNT(DISTINCT column_name) function. Here’s a simple example:
SELECT COUNT(DISTINCT column_name) AS distinct_count
FROM table_name;
This query will return the number of unique values in column_name.
Counting Distinct Values Across Multiple Columns
If you need to count distinct combinations of multiple columns, you can use a subquery:
SELECT COUNT(*) AS distinct_count
FROM (SELECT DISTINCT column1, column2 FROM table_name) AS subquery;
This approach ensures that only unique pairs of column1 and column2 are counted.
Why Use COUNT DISTINCT?
- Helps in identifying unique entries in a dataset.
- Useful for reporting and analytics.
- Efficient way to check for duplicates.
By leveraging COUNT(DISTINCT column_name), you can efficiently analyze your database and extract meaningful insights. Happy querying!
Walt is a computer scientist, software engineer, startup founder and previous mentor for a coding bootcamp. He has been creating software for the past 20 years.
Last updated on: