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Скачать или смотреть Extracting the First Row in SQL with ROW_NUMBER() Function

  • vlogize
  • 2025-05-23
  • 1
Extracting the First Row in SQL with ROW_NUMBER() Function
Filter records where row_number() is 1sql
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Описание к видео Extracting the First Row in SQL with ROW_NUMBER() Function

Learn how to efficiently filter SQL records to extract the first entry by leveraging the `ROW_NUMBER()` function within a Common Table Expression (CTE).
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This video is based on the question https://stackoverflow.com/q/72402024/ asked by the user 'sue' ( https://stackoverflow.com/u/17667385/ ) and on the answer https://stackoverflow.com/a/72402056/ provided by the user 'Stu' ( https://stackoverflow.com/u/15332650/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Filter records where row_number() is 1

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Filtering Records Using the ROW_NUMBER() Function in SQL

SQL is a powerful tool for managing and manipulating databases. One common scenario that many data analysts and developers face is the need to filter records based on certain criteria. In this post, we will explore how to effectively use the ROW_NUMBER() function to extract the first entry from a dataset—specifically, how to filter records where row_number() is equal to 1.

Understanding the Problem

Imagine you have a dataset of transactions, and you want to retrieve only the latest entry for each account based on a specific condition, such as a transaction code. The initial SQL query you might start with could look something like this:

[[See Video to Reveal this Text or Code Snippet]]

In this query, we are using the ROW_NUMBER() function to assign a unique sequential integer to rows within a partition of a result set. However, the challenge arises when you want to extract only those rows where the row number (rn) equals 1, which represent the first, or most recent, entries.

The Solution

Using a Common Table Expression (CTE)

To tackle this challenge, we can utilize a Common Table Expression (CTE). A CTE allows you to create a temporary result set that you can refer to within a SELECT, INSERT, UPDATE, or DELETE statement. Here's how the optimized query would look:

[[See Video to Reveal this Text or Code Snippet]]

Explanation of the Code

Common Table Expression (CTE):

We define a CTE named b where we select the necessary columns from the balance table.

We compute the ROW_NUMBER() for each account by specifying the partition by clause. This ensures that row numbering starts anew for each unique account_num.

We order the records within each partition by load_date in descending order to prioritize the most recent entries.

Selecting the Rows with rn = 1:

After establishing our CTE b, we perform a SELECT query to retrieve only those records from b where the row number (rn) is equal to 1.

This will yield only the latest transaction for each account fulfilling the specified condition of having tran_code = 123.

Benefits of This Approach

Clarity: Leveraging a CTE makes the query easier to understand and maintain.

Efficiency: It handles the filtering of records in a tidy manner, particularly useful when working with large datasets.

Flexibility: You can easily modify the parameters or add additional filters as needed without altering the structure of your main query.

Conclusion

In conclusion, filtering records where row_number() is equal to 1 can be effectively achieved using a Common Table Expression (CTE) and the ROW_NUMBER() function. This method not only optimizes performance but also improves readability for anyone reviewing your SQL code.

Thank you for reading! With the information and examples provided, you should now have a clearer understanding of how to use SQL to extract first rows efficiently. Don’t hesitate to adjust the query to fit your specific data needs.

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