The COUNT() function in MySQL is an aggregate function that returns the number of rows that match a specified condition or the total number of rows in a table.
Syntax
There are two primary ways to use the COUNT() function:
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Counting all rows in a table:
SELECT COUNT(*) FROM table_name;COUNT(*)counts all rows in the table, including rows withNULLvalues.
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Counting non-NULL values in a specific column:
SELECT COUNT(column_name) FROM table_name;COUNT(column_name)counts only the rows where the specified column has a non-NULL value.
Examples
1. Count all rows in a table
If you have a table employees and you want to count how many rows are in the table:
SELECT COUNT(*) FROM employees;
This will return the total number of rows in the employees table, including rows with NULL values in any column.
2. Count non-NULL values in a specific column
If you want to count how many employees have a non-NULL value in the email column:
SELECT COUNT(email) FROM employees;
This will return the number of employees who have an email address (i.e., the rows where the email column is not NULL).
3. Count with a WHERE condition
You can also use COUNT() with a WHERE clause to count rows based on a specific condition.
For example, if you want to count how many employees have a salary greater than 50000:
SELECT COUNT(*) FROM employees WHERE salary > 50000;
4. Count distinct values
You can also use COUNT(DISTINCT column_name) to count the number of unique non-NULL values in a column.
For example, to count how many distinct departments exist in the employees table:
SELECT COUNT(DISTINCT department) FROM employees;
Notes
COUNT(*)counts rows even if some columns containNULLvalues.COUNT(column_name)counts only rows where the specified column is notNULL.COUNT(DISTINCT column_name)counts unique non-NULL values of the specified column.
Summary
COUNT(*): Counts all rows in the table (including those withNULLvalues).COUNT(column_name): Counts rows where the specified column has a non-NULL value.COUNT(DISTINCT column_name): Counts distinct non-NULL values in the specified column.
Let me know if you'd like any further clarification or examples!
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