MySQL aggregate functions are used to perform calculations on groups of data and return a single value. Common functions include: SUM(): Sum COUNT(): Count of non-null values AVG(): Average MIN(): Minimum value MAX(): Maximum value STDEV(): Standard deviation VARIANCE(): Variance GROUP_CONCAT( ): Connection string CORR(): Correlation coefficient REGEXP_REPLACE(): Regular expression replacement
Commonly used aggregate functions in MySQL
Aggregation functions are used to calculate a set of data and return a single value. There are a variety of aggregate functions available in MySQL that serve different purposes.
1. SUM():
Find the sum of a numeric column.
2. COUNT():
Count the number of non-null values in the column.
3. AVG():
Calculate the average of a numeric column.
4. MIN():
Returns the minimum value in the numeric column.
5. MAX():
Returns the maximum value in the numeric column.
6. STDEV():
Calculate the standard deviation of a numeric column.
7. VARIANCE():
Calculate the variance of a numeric column.
8. GROUP_CONCAT():
Concatenate the values in the specified column into a string.
9. CORR():
Calculate the correlation coefficient between two numeric columns.
10. REGEXP_REPLACE():
Use regular expressions to replace substrings in a string.
Usage:
Aggregation functions are often used with the GROUP BY clause to group data and then apply the aggregate function to each group. For example:
SELECT department, SUM(salary) FROM employee GROUP BY department;
This will sum employee salaries by department and return the total salary for each department.
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