Question
GROUP BY with HAVING Clause
Answer :
Word Count : 1259
The `GROUP BY` clause with the `HAVING` clause is an important feature of SQL used for organizing, grouping, and filtering data in a relational database. In Database Management Systems, databases usually contain large amounts of information stored in tables. SQL provides various clauses to retrieve meaningful information from these tables. The `GROUP BY` clause is used to arrange rows having the same values into groups, while the `HAVING` clause is used to filter these groups according to a specified condition. Together, they are especially useful when aggregate functions such as `COUNT()`, `SUM()`, `AVG()`, `MAX()`, and `MIN()` are applied to grouped data. The `GROUP BY` clause divides the rows of a table into groups based on one or more columns. Rows having the same value in the specified column or columns are placed in the same group. Aggregate functions can then be applied to each group separately. For example, suppose there is an `Employee` table containing the columns `Employee_ID`, `Employee_Name`, `Department`, and `Salary`. If we want to find the total salary paid to employees in each department, we can use: ```sql SELECT Department, SUM(Salary) FROM Employee GROUP BY Department; ``` In this query, employees are grouped according to their department. The `SUM()` function then calculates the total salary for each ___ _________ _________ _______ _________ __________ __________ ____ __________ _______ ________.
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The `GROUP BY` clause with the `HAVING` clause is an important feature of SQL used for organizing, grouping, and filtering data in a relational database. In Database Management Systems, databases usually contain large amounts of information stored in tables. SQL provides various clauses to retrieve meaningful information from these tables. The `GROUP BY` clause is used to arrange rows having the same values into groups, while the `HAVING` clause is used to filter these groups according to a specified condition. Together, they are especially useful when aggregate functions such as `COUNT()`, `SUM()`, `AVG()`, `MAX()`, and `MIN()` are applied to grouped data. The `GROUP BY` clause divides the rows of a table into groups based on one or more columns. Rows having the same value in the specified column or columns are placed in the same group. Aggregate functions can then be applied to each group separately. For example, suppose there is an `Employee` table containing the columns `Employee_ID`, `Employee_Name`, `Department`, and `Salary`. If we want to find the total salary paid to employees in each department, we can use: ```sql SELECT Department, SUM(Salary) FROM Employee GROUP BY Department; ``` In this query, employees are grouped according to their department. The `SUM()` function then calculates the total salary for each ___ _________ _________ _______ _________ __________ __________ ____ __________ _______ ________.
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