Скачать или смотреть The Ultimate Guide to Hibernate Search Compatibility with Quarkus and Elasticsearch

Explore the compatibility of `Hibernate Search` with `Quarkus` and `Elasticsearch`, and learn how to optimize your database connections and indexing processes for seamless integration.
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The Ultimate Guide to Hibernate Search Compatibility with Quarkus and Elasticsearch

In today's rapidly evolving software landscape, developers often face challenges when integrating libraries and frameworks. One such challenge is ensuring the compatibility of Hibernate Search, Quarkus, and Elasticsearch. If you’re working on a Quarkus project with a MySQL database and need to connect to an Elasticsearch cluster, this guide will answer your burning questions regarding compatibility and best practices.

Understanding Your Compatibility Queries

As a developer, it's crucial to address compatibility concerns before diving into coding. Let's look into your specific questions regarding Hibernate Search, Quarkus, and Elasticsearch.

1. Which Version of Hibernate Search Does Quarkus Use?

In Quarkus version 1.13, the version of Hibernate Search used is 6.0.2.Final. This is essential to know as different versions may have different features and compatibility updates.

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Make sure to include this dependency in your POM file for your project.

2. Is It Compatible with Elasticsearch 7.11.1?

Yes! The compatibility checks show that Hibernate Search is compatible with Elasticsearch 7.11.1. The focus of the development team is primarily on testing the latest open-source version, and they are actively working on ensuring that version 7.11 is supported as well.

3. Do You Need a Constant Connection to MySQL?

This question hinges on how you plan to use your database:

Hibernate Search typically manages reads/writes and synchronizes your search data from the database. Therefore:

It's best to keep a connection to your MySQL database while using Hibernate Search.

If you only need read-only access and are using projections, it might be feasible to disconnect, though it’s not the conventional use case and could lead to issues.

4. Are Hibernate Annotations Mandatory?

If you want to initialize your indices with Hibernate Search, you do need to use Hibernate annotations, such as:

@ Entity for defining your entity classes.

@ Column to map your entities to database columns.

Using these annotations is essential for the framework to understand how to process your data.

5. How to Add New Records to Index After the Initial Connection?

If you need to add records from another system after your initial indexing, you’ll have to handle this manually. Unfortunately, Hibernate Search does not provide built-in mechanisms for this scenario. However, you can implement a custom batch processing method to handle incoming records and update your index accordingly.

Final Thoughts

Integrating Hibernate Search with Quarkus and Elasticsearch doesn’t have to be complicated. By understanding the compatibility requirements and best practices outlined in this guide, you'll be better equipped to design your application architecture effectively.

Remember:

Always check the library versions and dependencies.

Maintain an active connection to your primary database as needed.

Utilize Hibernate annotations for data mapping and indexing.

Plan a custom solution for batch indexing from external sources.

Now that you have this information, you’re ready to move forward with your Quarkus project confidently!