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Скачать или смотреть How to Multiply Two Columns and Update Values in SQL Server

  • vlogize
  • 2025-10-10
  • 0
How to Multiply Two Columns and Update Values in SQL Server
Multiply two columns and update its valuesqlsql servert sql
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Описание к видео How to Multiply Two Columns and Update Values in SQL Server

Learn the efficient way to multiply two columns in SQL Server and update a specific column with the result, all while managing parameters effectively.
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This video is based on the question https://stackoverflow.com/q/68200463/ asked by the user 'Dream OC' ( https://stackoverflow.com/u/11921348/ ) and on the answer https://stackoverflow.com/a/68200677/ provided by the user 'John Cappelletti' ( https://stackoverflow.com/u/1570000/ ) 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: Multiply two columns and update its value

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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Mastering SQL: Updating Values by Multiplying Two Columns

When working with SQL databases, you often encounter scenarios where you need to update a column based on calculations involving other columns. One common situation arises when you want to multiply two columns and update a third column with the result. This post will walk you through the problem and provide a clear solution to achieve this in SQL Server, specifically using T-SQL.

The Problem

You're trying to perform an update operation using two columns: CQty and CRate, and then save the result in a column named CAmt. Along with this, there’s a parameter @ Qty that you use to adjust the CQty. However, the initial attempts you made were unsuccessful.

Your Current SQL Procedures

You've tried the following SQL procedure:

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

This approach is failing because the calculation for @ amt occurs before you adjust CQty, meaning you are using old values in your multiplication.

Additionally, this alternative query also did not work as expected:

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

The issue with this query is similar—you’re trying to use an updated CQty in the calculation of CAmt before the new value of CQty is saved. This leads to incorrect computations.

The Solution

To resolve this issue, you need to ensure that the multiplication operation reflects the updated value of CQty after you’ve deducted @ Qty. Follow the steps below to implement the solution:

Adjust the Update Query

Change your update query to the following format:

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

Explanation of Changes

First, deduct @ Qty from CQty: This operation updates the quantity accurately before you perform the multiplication.

Multiply the new quantity by CRate: Now that CQty reflects the adjusted value, you can correctly calculate CAmt using the updated CQty.

Optimize with Computed Columns

To streamline your database operations, consider creating a computed column for CAmt. This allows SQL Server to automatically calculate and store the amount whenever CQty or CRate changes. By doing this:

You reduce the need for manual updates.

The database maintains accuracy and speed in calculations.

You can mark the computed column as PERSISTED so that it physically saves the computed results. Here's how you might define that:

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

Conclusion

By following these steps, you can efficiently manage updates in your SQL database. Remember, ensuring the correct order of operations while taking into account the effects of your parameters is essential for accurate computations. Additionally, using computed columns can further enhance your data management by automating repetitive tasks.

Now that you have the tools and knowledge, you can confidently tackle similar challenges in your future SQL endeavors. Happy querying!

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