The SQL statement to perform this information in the result set rows with the following command. Step 2: Now, we will implement the MySQL GROUP BY COUNT to query the data forming groups based on the particular column value and each group has its own count number that is for the identical values found in the group. Step 1: Suppose, we have a Customer table in the database having the fields CustomerID, CustomerName, Credit_Limit, and City, where we have some records as follows: Let us demonstrate some examples using the GROUP BY clause and COUNT() function in MySQL to show the working of GROUP BY Count: Example #1: Using GROUP BY Count on a single column Examples to Implement MySQL GROUP BY Count Using the COUNT() function with the GROUP BY clause, then the query will produce the number of values as the count for each subgroup created based on the table column values or expressions. SELECT DISTINCT ColumnName FROM TableName If you want to display the result set with unique values to occur with the GROUP BY Count clause, then we need to use the DISTINCT operator just after the SELECT clause in the query and before the column names specified. Thus, the COUNT() function here is used with the MySQL GROUP BY clause to complete calculation and then it gives a distinct value for every subgroup formed. In MySQL, the aggregate function is responsible to execute the calculation of a set table rows and outputs a value.

Generally, with this GROUP BY clause, we add some aggregate functions that include COUNT, SUM, MIN, MAX, and AVG that gives information about the groups formed by using the GROUP BY query in the result rows.

This method helps to decrease the number of rows in the set of results provided by MySQL. In the output set, the MySQL GROUP BY clause returns a single row for every arranged group. It summarizes the rows by the column data specified in the query. The GROUP BY clause is essential when we want a collection of result set having rows with similar values arranged into subgroups type. Here, the MySQL will evaluate the GROUP BY clause only after the SELECT, FROM, and WHERE clauses but should be placed before ORDER BY, HAVING, and LIMIT clauses. The comma-separated lists: Col_1, Col_2,…, Col_n, denotes the column values to be fetched in the result set and one of them will be defined for aggregate function and GROUP BY clause to write the proper query.

WHERE Cond_Expr GROUP BY Col_1, Col_2,…, Col_n Įxplanation: With the SELECT statement, the GROUP BY clause is an option to be used for providing a grouped result set according to a specified column value. SELECT Col_1, Col_2,…., Col_n, AggregateFunction(Col_i) FROM TableName Hadoop, Data Science, Statistics & others

Where clause using count