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COUNT(*) vs. COUNT(column_name): When Should You Use Which MySQL Function?

Understanding the Differences Between COUNT(*) and COUNT(column_name)

In MySQL, the COUNT(*) and COUNT(column_name) functions play crucial roles in data aggregation. While they both return the number of rows in a result set, there are subtle differences between them that can affect the accuracy and performance of your queries.

COUNT(*) vs. COUNT(column_name)

  • COUNT(*): This function counts all rows in the result set, regardless of whether specific columns contain NULL values. Its primary advantage is its speed since it doesn't need to check for NULL values.
  • COUNT(column_name): Unlike COUNT(), this function only counts rows where the specified column is not null. By excluding null values, COUNT(column_name) provides a more precise count of non-empty values. However, it can be slower than COUNT() in certain scenarios, particularly when dealing with large datasets and when null values are present.

Alternative: COUNT(1)

The COUNT(1) function essentially behaves the same as COUNT(). It counts all rows in the result set since 1 is never null. As a result, COUNT(1) offers the same performance advantages of COUNT().

Demonstration

To illustrate the differences between these functions, consider the following example:

CREATE TABLE table1 (x INT NULL);
INSERT INTO table1 (x) VALUES (1), (2), (NULL);

SELECT
    COUNT(*) AS a,
    COUNT(x) AS b,
    COUNT(1) AS c
FROM table1;

Result:

a   b   c
3   2   3

As you can see, COUNT() returns 3, counting both null and non-null values. COUNT(x) returns 2, excluding the null value. And COUNT(1) matches the count of COUNT() at 3.

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