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Скачать или смотреть Preventing Duplicate Data Insertions in SQL Server Using Triggers

  • vlogize
  • 2025-09-04
  • 1
Preventing Duplicate Data Insertions in SQL Server Using Triggers
How to prevent a trigger from firing so that duplicate data is not entered into a tablesql serversql server 2012
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Описание к видео Preventing Duplicate Data Insertions in SQL Server Using Triggers

Learn how to effectively manage data in SQL Server by preventing duplicate entries using triggers. This post walks you through adjustments needed for your SQL trigger to ensure data integrity.
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This video is based on the question https://stackoverflow.com/q/64702445/ asked by the user 'SkyeBoniwell' ( https://stackoverflow.com/u/880874/ ) and on the answer https://stackoverflow.com/a/64704086/ provided by the user 'Nikita Chayka' ( https://stackoverflow.com/u/7064030/ ) 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: How to prevent a trigger from firing so that duplicate data is not entered into a table

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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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Preventing Duplicate Data Insertions in SQL Server Using Triggers

In the world of database management, maintaining data integrity is crucial. A common issue that developers face is the insertion of duplicate data. This is especially relevant when using triggers, which are designed to respond to certain actions, such as updates, within the database. In this guide, we'll explore a specific problem involving triggers in SQL Server that can lead to duplicate entries and provide a solution to rectify this issue.

Understanding the Trigger Problem

Suppose you have a SQL Server setup with three related tables:

authorGenres (authorGenreId, authorId, isPublished)

bookLibrarys (bookLibraryId, authorGenreId, bookId)

bookList (bookId, authorId)

You have created a trigger that fires when the isPublished column in the authorGenres table is updated to 1. The purpose of this trigger is to insert a new row in the bookLibrarys table with the corresponding authorGenreId.

The catch? When you run the update command multiple times on the same record, it results in multiple entries in the bookLibrarys table, which includes the same authorGenreId and bookId but different bookLibraryId values because they are generated anew each time. This leads to unnecessary duplicate data.

The Solution: Modifying the Trigger

To solve this problem, you’ll want to prevent the trigger from executing if the specific combination of bookId and authorGenreId already exists in the bookLibrarys table. The modification to your trigger involves adding a check using a LEFT JOIN to identify existing records before inserting new ones.

Updated Trigger

Here's how you can update your SQL trigger:

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

Key Changes Explained

LEFT JOIN: This is used to join the bookLibrarys table with the relevant data from Inserted and bookList tables. It checks for existing records with the same genreID and parentBookID.

WHERE Clause: By including the condition WHERE blib.bookLibraryID IS NULL, the trigger ensures that no new row is inserted if an existing combination of bookId and authorGenreId is found.

This update will result in a more efficient process, preventing duplicate entries while still allowing updates to function as intended.

Conclusion

Using triggers in SQL Server can be a powerful tool, particularly for automating database tasks. However, it's important to ensure that these triggers are designed to maintain data integrity and prevent duplicate entries. By applying the modifications we discussed, you can effectively safeguard your tables against unnecessary duplicates, ensuring that your data remains clean and reliable.

If you have any questions or need further clarification on this topic, feel free to leave a comment below. Happy querying!

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