jQuery aggregate function example_jquery
The examples in this article describe jQuery aggregate functions. Share it with everyone for your reference. The details are as follows:
(function($) { $.fn.aggregate = function(seed, func) { var _r = seed == null ? "" : seed; this.each(function(index, element) { _r = func(_r, element); }); return _r; }; $.fn.count = function() { return this.aggregate( 0, // seed function(result, _) { // func return result + 1; }); }; })(jQuery); alert($("a").count());
I hope this article will be helpful to everyone’s jQuery programming.

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SUM in Oracle is used to calculate the sum of non-null values, while COUNT counts the number of non-null values of all data types, including duplicate values.

The COUNT function in Oracle is used to count non-null values in a specified column or expression. The syntax is COUNT(DISTINCT <column_name>) or COUNT(*), which counts the number of unique values and all non-null values respectively.

GROUP BY is an aggregate function in SQL that is used to group data based on specified columns and perform aggregation operations. It allows users to: Group data rows based on specific column values. Apply an aggregate function (such as sum, count, average) to each group. Create meaningful summaries from large data sets, perform data aggregation and grouping.

MySQL's AVG() function is used to calculate the average of numeric values. It supports multiple usages, including: Calculate the average quantity of all sold products: SELECT AVG(quantity_sold) FROM sales; Calculate the average price: AVG(price); Calculate the average sales volume: AVG(quantity_sold * price). The AVG() function ignores NULL values, use IFNULL() to calculate the average of non-null values.

The SUM() function in SQL is used to calculate the sum of numeric columns. It can calculate sums based on specified columns, filters, aliases, grouping and aggregation of multiple columns, but only handles numeric values and ignores NULL values.

The SQL SUM function calculates the sum of a set of numbers by adding them together. The operation process includes: 1. Identifying the input value; 2. Looping the input value and converting it into a number; 3. Adding each number to accumulate a sum; 4. Returning the sum result.

Aggregate functions in SQL are used to calculate and return a single value for a set of rows. Common aggregation functions include: Numeric aggregation functions: COUNT(), SUM(), AVG(), MIN(), MAX() Row set aggregation functions: GROUP_CONCAT(), FIRST(), LAST() Statistical aggregation functions: STDDEV (), VARIANCE() optional aggregate functions: COUNT(DISTINCT), TOP(N)

The grouping function in MySQL is used to calculate aggregate values by grouping a data set. Commonly used functions are: SUM: Calculate the sum of the values in the specified column COUNT: Calculate the number of non-NULL values in the specified column AVG: Calculate the average value of the values in the specified column MIN: Calculate the minimum value in the specified column MAX: Calculate the number of non-NULL values in the specified column the maximum value of
