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In-depth understanding of WHERE and HAVING clauses in SQL
WHERE clause: row filtering before filtering data
The WHERE clause in SQL is used to filter data based on specific conditions. It filters the rows in the table before the data selection process, which means it cannot use aliases or aggregate functions. For example:
<code class="language-sql">SELECT * FROM table WHERE column_name > 5;</code>
This query will select all rows in the table with column_name value greater than 5.
HAVING clause: row filtering after filtering data
In contrast, the HAVING clause is used to filter rows based on conditions containing aggregate functions or aliases. It works after the data selection process so these elements can be used. For example:
<code class="language-sql">SELECT column_name AS alias, COUNT(*) AS count FROM table GROUP BY column_name HAVING count > 5;</code>
This query first groups the rows by column_name and calculates the count for each group. Then it will filter the groups with count greater than 5.
Key differences
The key difference between WHERE and HAVING clauses is their execution time. WHERE filters data before selection, while HAVING filters data after selection. This difference has a significant impact on performance and efficiency.
Performance Considerations
Using the WHERE clause to filter data before selecting is more efficient because it reduces the number of rows that the HAVING clause needs to process. This is especially important when working with large data sets.
User Guide
It is generally recommended to use the WHERE clause for simple filtering and the HAVING clause for filtering involving aggregate functions or aliases. However, there are no clear-cut rules and the final choice depends on the specific use case.
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