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Скачать или смотреть How to Properly Delete Data from Columns in MySQL

  • vlogize
  • 2025-09-25
  • 0
How to Properly Delete Data from Columns in MySQL
mysql query question about removing data from columnsmysqlsqlsql updatewhere clausesql delete
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Описание к видео How to Properly Delete Data from Columns in MySQL

Learn how to accurately remove data from specific columns in MySQL with our easy-to-follow guide. Understand the difference between deleting rows and updating columns!
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This video is based on the question https://stackoverflow.com/q/62924250/ asked by the user 'Head' ( https://stackoverflow.com/u/1904995/ ) and on the answer https://stackoverflow.com/a/62924534/ provided by the user 'GMB' ( https://stackoverflow.com/u/10676716/ ) 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: mysql query question about removing data from columns

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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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Understanding MySQL Data Management

When working with databases, it's common to encounter situations where you need to modify or remove data. One such scenario often arises when you want to clear information from specific columns instead of deleting entire rows. This post will guide you through handling this problem in MySQL effectively, using the illustrative example of a table named setup_module.

The Problem Statement

Suppose you have a table structured as follows:

moduleschema_versiondata_versionAheadworks_AdvancedSearch1.0.11.0.1Amasty_Acart1.8.01.8.0Amasty_Base1.6.31.6.3Amasty_CronScheduleList1.0.01.0.0In this example, let’s say you want to clear the schema_version and data_version for the Aheadworks_AdvancedSearch module. Your initial thought might be to use a DELETE command, but there's a more suitable SQL command for this purpose.

The Solution: Using UPDATE Instead of DELETE

Understanding SQL Commands:

DELETE Command: This command removes entire rows from a table.

UPDATE Command: This command modifies existing data in specified columns without deleting the row.

To achieve the desired outcome of removing data from the two right columns (schema_version and data_version) for the specified module, you should use the UPDATE command. Here's how you can do it:

Update Command Syntax

To reset the values of both columns to NULL, you can use the following SQL command:

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

Explanation of the Command:

UPDATE setup_module: This tells MySQL which table to modify.

SET schema_version = NULL, data_version = NULL: Here, you’re specifying the columns you want to update, setting their new values to NULL.

WHERE module = 'Aheadworks_AdvancedSearch': The condition ensuring that only the row corresponding to Aheadworks_AdvancedSearch is updated.

Example of Deleting a Row

If, instead, your goal was to remove the entire row for Aheadworks_AdvancedSearch, you would use the following command:

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

Key Takeaways

Use UPDATE to modify existing data in a row without removing it.

Use DELETE when you want to remove entire rows from a table.

Always ensure you include a WHERE clause to specify which records you wish to modify or delete, or you may unintentionally affect more rows than intended.

Conclusion

Mastering the way to manipulate data in MySQL is crucial for database management. Knowing when to update columns versus deleting entire rows can save you time and prevent data loss. By following the example above, you’ll confidently manage your MySQL tables.

Whether you're a beginner or looking to refresh your SQL skills, understanding these commands is fundamental in database operations.

Feel free to ask more questions or share your experiences with SQL in the comments below!

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