Configuring FieldNamingStrategy in Spring Data Elasticsearch

Описание: Learn how to easily set up a `FieldNamingStrategy` in your Spring Data Elasticsearch application to use snake_case naming conventions for your documents.
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Configuring FieldNamingStrategy in Spring Data Elasticsearch

When developing applications that leverage Elasticsearch with Spring Data, one common requirement is to ensure that the field naming conventions used in your documents are consistent and easy to read. Particularly, developers often opt for the snake_case naming convention.

In this post, we'll explore how you can configure a FieldNamingStrategy in your Spring Data Elasticsearch application, ensuring that all your documents will follow this convention without the need to manually specify it for every field.

The Challenge

You’ve likely set up the RestHighLevelClient for your Elasticsearch application, and now you want to streamline your document structure. The default behavior of Spring Data Elasticsearch is to use the property names of your Java objects as field names directly. This is where things can get tricky:

For example, a Java property named sampleProperty would be mapped directly to sampleProperty in Elasticsearch.

This can lead to inconsistencies in naming conventions.

The good news is, you can easily change this behavior globally by configuring a FieldNamingStrategy in your client configuration.

Solution Overview

To implement a FieldNamingStrategy, such as SnakeCaseFieldNamingStrategy, you need to override a method in your existing client configuration class. Let’s break this down into clear steps.

Step 1: Setup Your Elasticsearch Client Configuration

You should already have a basic configuration setup for your Elasticsearch client. Here’s a sample configuration:

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

Step 2: Override the fieldNamingStrategy Method

Now, add the fieldNamingStrategy() method within the same configuration class to return a new instance of SnakeCaseFieldNamingStrategy. This will ensure all field names are transformed to snake_case in Elasticsearch:

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

Final Code Example

Here’s how your complete configuration class should look:

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

Conclusion

By following these steps, you have successfully configured a global naming strategy that will apply to all your documents in Elasticsearch. No longer will you need to worry about individual field annotations; instead, your application will adhere to the snake_case convention automatically.

This not only simplifies your code but also enhances readability and consistency across your data model. Happy coding with Spring Data Elasticsearch!