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Скачать или смотреть How to Update Text Column in PostgreSQL Using Values from Another Column

  • vlogize
  • 2025-09-25
  • 1
How to Update Text Column in PostgreSQL Using Values from Another Column
Postgresql:Update text column with value from another columnsqlpostgresqlsql update
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Описание к видео How to Update Text Column in PostgreSQL Using Values from Another Column

Learn how to update a text column in PostgreSQL effectively by inserting corresponding IDs into file paths. This simple guide will help you manage your records efficiently.
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This video is based on the question https://stackoverflow.com/q/62715807/ asked by the user 'Abena Tabuah' ( https://stackoverflow.com/u/13859230/ ) and on the answer https://stackoverflow.com/a/62716096/ provided by the user 'Mike Organek' ( https://stackoverflow.com/u/13808319/ ) 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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Updating Text Columns in PostgreSQL: A Step-By-Step Guide

When working with a database, you might often find yourself needing to update specific fields to conform to a given structure. In PostgreSQL, updating a text column with values derived from another column can be quite straightforward once you grasp the essential concepts. In this guide, we’ll explore how to insert corresponding IDs into file paths, particularly when there are records that require modification.

The Problem

Imagine you have a table called table1 with the following data structure:

idnamepath111Test1/path1/path2/file1.png222Test1/path1/path2/222/file2.png333Test3/path1/path2/file3.png444Test3https:test/path1/path2/file4.png555Test4/path1/path2/file5.pngYour simple task is to modify the path column by inserting the ID between path2/ and the filename, but only for those records that lack this ID in their structure. In this scenario, ID 222 and ID 444 already contain the appropriate structure, while ID 111 and ID 333 need to be updated.

Expected Outcome

After running the update script, your table should look as follows:

idnamepath111Test1/path1/path2/111/file1.png222Test1/path1/path2/222/file2.png333Test3/path1/path2/333/file3.png444Test3https:test/path1/path2/file4.png555Test4/path1/path2/file5.pngThe SQL Solution

To achieve this result, we need to construct a PostgreSQL update statement that effectively finds the paths that do not include an ID and modifies them accordingly. Here’s how you can do it step-by-step:

Step 1: Identify the Records that Need Updating

You can start by selecting the specific records that need updating. The following SQL query will locate entries where the name is either 'Test1' or 'Test3', and where the path structure does not yet contain the corresponding ID.

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

Step 2: Update the Paths

Now that we know which records to modify, we can write the update statement. The following SQL code will replace the path efficiently.

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

Explanation of the Update Statement

UPDATE table1: This specifies the table we want to modify.

SET path =: Defines the column we are updating.

REPLACE(path, '/path2/', CONCAT('/path2/', id::text, '/')): This replaces the /path2/ section of the string with /path2/ followed by the ID, converting the ID to text to ensure it's concatenated properly.

WHERE path !~ CONCAT('/path2/', id::text, '/'): This condition ensures we only target rows where the record does not already have this ID in the path.

Step 3: Verify the Update

Finally, you can verify that your update has worked by running the following statement:

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

This will display all records in table1, allowing you to confirm that the update was applied correctly and that the desired changes were made to the paths.

Conclusion

Updating a text column in PostgreSQL using values from another column may seem daunting if you're new to SQL, but breaking it down into clear steps can simplify the process. By following this guide, you can efficiently manage your data to ensure it follows the required format. If you need to perform similar operations, just remember the methods discussed here, and you'll be updating your PostgreSQL tables with ease!

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