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Скачать или смотреть How to Remove Spaces Between Letters in SQL Server Strings

  • vlogize
  • 2025-03-30
  • 1
How to Remove Spaces Between Letters in SQL Server Strings
Remove space between letters in one worldsql serverreplacespace
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Описание к видео How to Remove Spaces Between Letters in SQL Server Strings

Learn how to effectively eliminate spaces between letters in a string using SQL Server. This guide breaks down the process step-by-step for clarity and ease of understanding.
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This video is based on the question https://stackoverflow.com/q/73458150/ asked by the user 'HEV' ( https://stackoverflow.com/u/19800625/ ) and on the answer https://stackoverflow.com/a/73460901/ provided by the user 'SQLpro' ( https://stackoverflow.com/u/12659872/ ) 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: Remove space between letters in one world

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
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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How to Remove Spaces Between Letters in SQL Server Strings

Have you ever faced a scenario where you needed to clean up a string in SQL Server by removing spaces between letters? This is especially common when dealing with names formatted incorrectly, such as 'S M I T H'. In this guide, we'll address this problem step by step and provide you with the solution to transform names like 'S M I T H' into their proper form, 'SMITH', seamlessly.

The Problem

Imagine you have a complex SQL dataset where one of the fields contains names formatted with spaces between each letter. For example:

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

This can create issues for data processing and readability. The challenge is to remove these unwanted spaces while retaining the integrity of the original data query.

Here’s a sample row from your table:

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

The goal is to transform it into:

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

Step-by-Step Solution

Step 1: Identify the String

You need to identify the specific string you want to modify. In this case, it’s the row containing the improperly formatted name.

Step 2: Create a Query to Modify the String

To remove the spaces between the letters, you can use a combination of SQL functions. Here’s how you can achieve this using a Common Table Expression (CTE):

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

Breakdown of the Query

LEFT Function: This function is used to retrieve the part of the string before the first quote, ensuring we maintain the text preceding the name.

CHARINDEX Function: This function finds the position of a specific character or substring in a string. It’s critical for locating the positions of quotes (') around the name.

SUBSTRING Function: This is used to extract a portion of the string that contains the name, allowing us to target the area that requires space removal.

REPLACE Function: Finally, this function replaces spaces within the extracted name with an empty string, effectively removing them.

RIGHT Function: This function appends the remaining text that follows the name, ensuring that the entirety of the original sentence remains intact.

Step 3: Execute and Test

Run the provided SQL query in your SQL Server environment. The output should yield a cleaned-up string without spaces in the name.

Conclusion

Removing spaces between letters in string values within SQL Server can seem daunting at first, but by using the right SQL functions, it becomes a manageable task. The approach outlined above allows you to keep your dataset clean and properly formatted.

If you have any more questions about SQL Server or need further clarification, feel free to reach out!

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