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Скачать или смотреть Mastering SQL Server: How to Achieve Desired Order with STUFF() Function in Subqueries

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  • 2025-03-27
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Mastering SQL Server: How to Achieve Desired Order with STUFF() Function in Subqueries
Order by on specific id in subquery with STUFF()sql serversql order bystuff
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Описание к видео Mastering SQL Server: How to Achieve Desired Order with STUFF() Function in Subqueries

Learn how to use the `STUFF()` function in SQL Server to return concatenated names in a specific order, ensuring data integrity and accuracy in your queries.
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This video is based on the question https://stackoverflow.com/q/74576244/ asked by the user 'Rahul Chaudhari' ( https://stackoverflow.com/u/4923942/ ) and on the answer https://stackoverflow.com/a/74596315/ provided by the user 'Tim Jarosz' ( https://stackoverflow.com/u/2452207/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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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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Mastering SQL Server: How to Achieve Desired Order with STUFF() Function in Subqueries

When loading data into SQL Server, we may sometimes face challenges, especially when trying to format and organize results in a specific way. A common problem users encounter involves concatenating names based on a specific condition while maintaining an orderly format. In this guide, we'll explore a practical solution to this common SQL challenge using the STUFF() function within a subquery.

The Problem Explained

Imagine you have a table named PlayGroup that contains data about various players, their dates of play, and associated cities. The structure of the table might look like this:

DatePlayIDNameCity11/20/2022101RishiMumbai11/20/2022102SmitaNew Mumbai11/21/2022102MaiyandBangalore11/22/2022102RishiMumbai11/22/2022101SmitaNew Mumbai11/23/2022101MaiyandBangalore11/23/2022102SmitaNew MumbaiFrom this table, the goal is to obtain a new formatted output where you group the names by dates. The expected output should have distinct dates and concatenated names in a specific order, reflecting the ascending arrangement of PlayID.

Unfortunately, the initial implementation might yield unordered names due to the natural sorting of records in the original table. Here’s what one might get:

DateName11/20/2022Rishi,Smita11/21/2022,Maiyand11/22/2022Rishi,Smita11/23/2022Maiyand,SmitaThis is not acceptable as the results do not follow the desired ordering of names. Let's see how we can fix this.

The Solution

To sort the names correctly while concatenating them, you should incorporate the ORDER BY clause directly inside the STUFF() function. Here’s the adjusted SQL query that addresses the issue:

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

Breakdown of the Query

Selecting Distinct Dates:

The main query selects distinct dates from the PlayGroup table.

Using STUFF() for Concatenation:

The inner query is used to concatenate Name values based on matching Date.

The FOR XML PATH('') is an XML trick to concatenate strings in SQL Server.

Adding the ORDER BY Clause:

By placing ORDER BY _p.PlayID ASC within the inner subquery, we ensure that names are concatenated based on the ascending order of PlayID.

Final Ordering:

Finally, the outer query is ordered by Date to maintain the intended chronological order.

Expected Output

By implementing this solution, the output will correctly reflect the desired formatting:

DateName11/20/2022Rishi,Smita11/21/2022Maiyand11/22/2022Smita,Rishi11/23/2022Maiyand,SmitaConclusion

By using the STUFF() function in combination with the proper ORDER BY clause within your subqueries, you can ensure that your concatenated results not only meet your requirements but are also presented in a logical and readable format. SQL Server offers powerful functionalities, and understanding how to manipulate them can greatly enhance your data handling capabilities.

Feel free to apply this technique in your future SQL queries for efficient data management and retrieval!

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