What is the difference between HAVING Clause and WHERE Clause in SQL Server?

Asked 06-Dec-2019
Updated 14-Sep-2023
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What is the difference between HAVING Clause and WHERE Clause in SQL Server


1 Answer


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In SQL Server, both the HAVING clause and the WHERE clause are used to filter and retrieve specific data from a database, but they are applied at different stages of the SQL query and serve distinct purposes:

1. WHERE Clause:
  - The WHERE clause is used in the initial stages of an SQL query, typically in the SELECT statement.
  - It filters rows from the base table before any grouping or aggregation is performed.
  - Conditions specified in the WHERE clause are applied to individual rows of data.
  - It is primarily used for filtering rows based on specific criteria, such as comparing columns to values or using logical operators (e.g., =, >, <>, AND, OR).
  - The WHERE clause is commonly used when you want to restrict the result set based on specific conditions before any grouping or aggregation occurs.

Example:
```sql
SELECT * FROM orders
WHERE order_status = 'Shipped' AND order_date >= '2023-01-01';
```

2. HAVING Clause:
  - The HAVING clause is used in SQL queries that involve grouping of data, typically with the GROUP BY clause.
  - It filters the result set after grouping and aggregation have been applied to the data.
  - Conditions specified in the HAVING clause are applied to groups of data, typically the result of an aggregation function like COUNT, SUM, AVG, etc.
  - It is used to filter groups based on aggregated values or calculations.
  - The HAVING clause is employed when you want to filter the results of an aggregation, such as retrieving groups with a specific total count or sum.

Example:
```sql
SELECT department, AVG(salary) as avg_salary
FROM employees
GROUP BY department
HAVING AVG(salary) > 50000;
```

In summary, the WHERE clause is used to filter rows before any grouping or aggregation, while the HAVING clause is used to filter groups of data after aggregation has been performed. Understanding the distinction between these two clauses is essential for crafting SQL queries that retrieve and manipulate data accurately and efficiently.