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Скачать или смотреть Solving the @ Transactional Dilemma: Ensuring Inserts and Updates Work Together in Spring Boot

  • vlogize
  • 2025-08-14
  • 1
Solving the @ Transactional Dilemma: Ensuring Inserts and Updates Work Together in Spring Boot
One method having two queries with insert and update with @Transactional Annotationjavaspringspring bootspring data jpahql
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Описание к видео Solving the @ Transactional Dilemma: Ensuring Inserts and Updates Work Together in Spring Boot

Discover how to successfully use the `@ Transactional` annotation in Spring Boot to manage insert and update operations in a single method.
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This video is based on the question https://stackoverflow.com/q/65230748/ asked by the user 'Avinash Tiwari' ( https://stackoverflow.com/u/10998826/ ) and on the answer https://stackoverflow.com/a/65237276/ provided by the user 'M. Deinum' ( https://stackoverflow.com/u/2696260/ ) 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: One method having two queries with insert and update with @ Transactional Annotation

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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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Solving the @ Transactional Dilemma: Ensuring Inserts and Updates Work Together in Spring Boot

When working with Spring Boot and Java's persistence capabilities, developers sometimes encounter challenges when trying to execute multiple database operations within a single method. One common issue revolves around the @ Transactional annotation, particularly when an insert and update operation are intended to happen together. In this post, we'll explore the problem of handling this scenario and provide a practical solution to ensure both operations succeed as expected.

The Problem

Imagine you have a method that should both insert a new record and then immediately update it. This is what the original code looks like:

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

In this code snippet, we see that an insert is executed to add a new record to the database. Following that, an attempt is made to update the processed column of the newly inserted record. However, the troubling part is that only the insert operation is executed. When checking the database, the update doesn't seem to take effect, leaving the record in its original state.

The key question here is: What went wrong?

Understanding the Issue

Why the Update Isn't Working

The primary reason the update operation fails is that it is being executed immediately following the insert within the same transaction. By that time, the record is not yet fully available in the persistence context for JPA to recognize, which means there's nothing to update at this instant. Thus, the update query becomes ineffective.

No Errors, No Updates

The reason you don't see an error being thrown is that JPA doesn't complain about an update being attempted on a non-existent entity. Instead, it simply results in no changes being made, leading to the confusion that something went wrong.

The Solution: Updating the Entity

To achieve the desired effect of both persisting a new record and immediately altering its state, the solution lies in updating the entity itself instead of issuing a separate update query. Here’s how to do it:

Step-by-Step Approach

Insert the entity: Add the new entity to the database.

Modify the entity: Update the necessary fields of the entity instance.

Flush changes: Persist changes to the database without needing a separate update statement.

Revised Code Example

Here is how you could modify the original method:

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

Key Benefits of This Approach

Simplicity: Directly manipulate the entity without issuing raw SQL update queries, making your code easier to read and maintain.

Efficiency: Reduces the need for additional database calls, as you're working with the same entity instance.

Transaction Management: This method still benefits from the @ Transactional annotation, ensuring that either both operations will succeed or neither will be committed (based on rollback scenarios).

Conclusion

Navigating database operations in Spring Boot with JPA can sometimes present complexities, especially when using the @ Transactional annotation. Understanding how transactions and persistence context work is crucial for ensuring that your insert and update operations interact correctly. By directly manipulating the entity after inserting it, you can ensure that updates are effective and your application's data integrity is maintained.

So, the next time you encounter similar issues with inserts and updates in a single method, remember to tweak your approach by manipulating the entity directly to get the desired results. Happy coding!

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