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Скачать или смотреть Update Two Tables in One Query in PostgreSQL

  • vlogize
  • 2025-09-23
  • 2
Update Two Tables in One Query in PostgreSQL
How can i update two table in one query in posgresqlpostgresql
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Описание к видео Update Two Tables in One Query in PostgreSQL

Learn how to efficiently update two tables in PostgreSQL using a single query. This guide provides a step-by-step approach to achieving this through the use of common table expressions.
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This video is based on the question https://stackoverflow.com/q/63499565/ asked by the user 'Avinash Jagtap' ( https://stackoverflow.com/u/8493092/ ) and on the answer https://stackoverflow.com/a/63500631/ provided by the user 'chen xiaoqiang' ( https://stackoverflow.com/u/14135914/ ) 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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Update Two Tables in One Query in PostgreSQL: A Comprehensive Guide

Updating multiple tables in a relational database can often present a challenge, particularly when you're working with SQL queries. In PostgreSQL, you can't update two tables directly in a single UPDATE command. However, there are effective methods to accomplish this task efficiently. In this guide, we will dive into the solution for updating two tables within one query in PostgreSQL, making it accessible and understandable even for those who are newly navigating SQL queries.

The Problem

Suppose you have two tables: weighttracker and client. You want to update the current weight in the weighttracker table and also update the corresponding weight in the client table. The challenge is to do this within a single query while ensuring that both updates are executed correctly.

Here’s a simplified version of the original SQL that someone might attempt to use:

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

While this code seems functional, PostgreSQL will not allow an update like that directly. So, what is the solution?

The Solution: Using Common Table Expressions (CTEs)

To achieve the desired updates efficiently, you can use the Common Table Expressions (CTE) feature in PostgreSQL. This allows you to perform one operation and, depending on its result, proceed to the next operation.

Step-by-Step Breakdown

Update the Weighttracker Table: Begin by updating the wet_currentweight in the weighttracker table.

Update the Client Table: Next, update the c_weight in the client table.

Here is an example of how to structure your SQL command:

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

Explanation of the SQL Structure

CTE Declaration (WITH t AS): The WITH clause initializes a temporary result set (in this case, the update) that you can reference later in your following update statement.

First Update - weighttracker: This command updates the wet_currentweight to 112 for a specific wet_cid (in this case, 88).

Second Update - client: After the first update completes, the next statement updates the client’s weight (c_weight) to 112 where c_id matches 88.

Key Benefits of This Approach

Transactionality: By using a CTE, both updates are executed in a single transaction. If one fails, both can be rolled back, ensuring that the integrity of your database is maintained.

Readability: This method organizes your SQL code into understandable sections, making it easier for you and others to read and maintain.

Flexibility: You can extend this pattern to include more tables or different conditions as needed.

Conclusion

Updating multiple tables in PostgreSQL may initially seem daunting. Still, with the power of Common Table Expressions, you can achieve it effectively with a straightforward approach. By following the structured method provided here, you can successfully update several tables in a single transaction while maintaining clarity and efficiency in your SQL commands.

By mastering this technique, you can enhance your database management skills, making your SQL queries not only functional but also elegant.

Feel free to experiment with this approach in your own databases and enjoy the flexibility PostgreSQL provides!

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