How to use RANK() Function In SQL

The RANK() function assigns a rank to each row within a partition, allowing for the selection of top N rows per group based on ranking.

Query:

SELECT *
FROM (
SELECT *,
RANK() OVER (PARTITION BY region ORDER BY sales_amount DESC) AS rank_num is calculated.
FROM sales_data
)
WHERE rank_num <= 2;

Output:

Explanation: The output presents records from the sales_data table where each row is assigned a rank based on the sales amount within its region, sorted in descending order. Only rows with ranks less than or equal to 2 are displayed.

How to Restrict Results to top N Rows per Group in PL/SQL?

In the world of database administration, retrieving top N rows from every grouping is a frequent but complicated one. Whether you are performing cross-tabulations with large datasets or looking for specific insights within the grouping of data, the ability to restrict the output to top N rows per group is precious.

Implementing this job in PL/SQL, which is Oracle’s procedural extension to SQL, may call for a thought-out approach applying approaches customized for the database environment. Now is the time to explore a how-to and a methodology for determining top N results per group in PL/SQL.

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How to Restrict Results to Top N Rows per Group in PL/SQL

Imagine you have data sets in which several groups are there, and you have to take out the top N records from each group with the particular conditions. We may offer the sales leaders by region, the top lists in the person employee for the department to any other particular data segment analysis....

Setup an Environment

Now we create a sales_data table and insert the value in it:...

1. Using Analytic Functions

Analytic Functions like ROW_NUMBER() can be employed to partition data by groups and assign row numbers based on specific criteria, enabling the selection of top N rows per group....

2. Using Subqueries

Subqueries can be utilized to filter data based on the results of inner queries, enabling the selection of top N rows per group....

3. Common Table Expressions (CTEs)

CTEs provide a readable and reusable way to define temporary result sets, facilitating the selection of top N rows per group....

4. Using RANK() Function

The RANK() function assigns a rank to each row within a partition, allowing for the selection of top N rows per group based on ranking....

Conclusion

Understanding the PL/SQL Top N Rows per Group extraction doors to many new dimensions for data analysis and reporting. Either using analyze functions, subqueries, PL/SQL cursors, and other methods makes know-how opportunities to the developers and analysts to work with grouped data effectively, precisely, and in a flexible way. By choosing a suitable method that takes into consideration the particular requirements and constraints one can move in a complex and multidimensional dataset and therefore get useful and significant information....