![]() Track_count DESC Code language: SQL (Structured Query Language) ( sql ) SQLite SUM() function example To find the albums and their corresponding track count, you use the following statement: SELECT The following statement returns the number of rows from the tracks table: SELECT COUNT(*) Then, the AVG() function applies to each group that has the same album id to calculate the average length of tracks. ![]() First, the GROUP BY clause divides the tracks by album id into groups.ROUND( AVG(Milliseconds) / 60000, 0) "Average In Minutes" FROM The following statement finds the average length of all tracks for each album: SELECT We will use the tracks table from the sample database for the demonstration: SQLite AVG() function example The following picture illustrates the SUM() aggregate function: SQLite aggregate function examples Second, specify the expression to which the aggregate function applies.ĭISTINCT instructs the aggregate function to consider only unique values in the calculation while ALL allows the aggregate function to take all values including duplicates in its calculation.First, specify the name of the aggregate function such as AVG, SUM, or COUNT.The following shows the syntax of calling an aggregate function except for the GROUP_CONCAT() function: aggregate_function (DISTINCT | ALL expression)Ĭode language: SQL (Structured Query Language) ( sql ) GROUP_CONCAT(expression, separator) – returns a string that is the concatenation of all non-NULL values of the input expression separated by the separator.MIN() – returns the minimum value in a group.MAX() – returns the maximum value in a group.COUNT() – returns the number of rows that match a specified condition.AVG() – returns the average value of a group.SQLite provides the following aggregate functions: Aggregate functions are often used in conjunction with GROUP BY and HAVING clauses in the SELECT statement. Overview of SQLite aggregate functionsĪggregate functions operate on a set of rows and return a single result. Summary: in this tutorial, you will learn about the SQLite aggregate functions to find the maximum, minimum, average, sum, and count of a set of values.
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