How to Calculate the SUM of Grouped COUNTs in SQL?
Calculating SUM of Grouped COUNT in SQL Queries
In SQL, grouping data is essential for summarizing and analyzing large datasets. When working with grouped data, it can be useful to also calculate the sum of the grouped values. This article demonstrates how to achieve this using an example table and a practical SQL query.
Consider a table with two fields: ID and Name. Each record represents an individual, and multiple records can have the same name. We want to group the data by Name and count the number of records in each group. Additionally, we want to add a row at the end to display the total count of all records.
To achieve this, we can use the following SQL query:
SELECT name, COUNT(name) AS count, SUM(COUNT(name)) OVER() AS total_count FROM Table GROUP BY name;
Query Breakdown:
- SELECT clause: Selects the name field and calculates the count of records in each group (COUNT(name)) as count.
- SUM() OVER() clause: Calculates the sum of the count values for all groups using the SUM() function with the OVER() window function. This creates a new column called total_count.
- GROUP BY clause: Groups the results by the name field.
Results:
The query returns the following results:
Name | Count | Total Count | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alpha | 1 | 6 | |||||||||||||||
Beta | 3 | 6 | |||||||||||||||
Charlie | 2 | 6 | |||||||||||||||
|
6 | 6 |
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