Скачать или смотреть How to Properly Store JSON Data in PostgreSQL Using Spring Boot

Discover how to resolve issues with storing JSON data in PostgreSQL from Spring Boot applications. Learn effective strategies for using Hibernate and defining appropriate data types.
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Understanding the JSON Storage Issue in Spring Boot with PostgreSQL

When developing a Spring Boot application that interacts with a PostgreSQL database, developers often face challenges with data serialization and storage formats. One specific issue that can arise is when JSON data is improperly stored in the database, leading to unexpected formats.

The Encountered Problem

Imagine you have set up a Gradle Spring Boot project and want to store JSON data in a column of type TEXT in your PostgreSQL database. After hitting the save endpoint through Postman, you send a JSON object:

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However, when you hit the GET endpoint, instead of receiving a well-structured JSON, you get a string format that looks like this:

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Here, the colons (:) have been replaced with equals signs (=), and the proper JSON format has been lost.

The Questions

How do we save the rules as proper JSON in the database?

What adjustments do we have to make to store this data in the expected format?

Solutions to Store JSON Data Correctly

To solve the problem of storing JSON properly in PostgreSQL, a two-pronged approach is recommended.

1. Use a Third-Party Library for Hibernate Types

One of the simplest solutions involves using a library designed to handle JSON serialization effectively. The library, hypersistence-utils-hibernate, can be added to your Gradle build file as follows:

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This library enhances Hibernate's capabilities to support JSONB in PostgreSQL, allowing more efficient storage and retrieval of JSON data.

2. Define a POJO for the JSON Structure

Instead of storing the JSON as a string, define a Plain Old Java Object (POJO) that mirrors the structure of your JSON data. For the JSON provided, you can create a Rules class like this:

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Revised Entity Class

With the Rules class defined, you now need to adjust your entity class to utilize this new data type. Here is how your SavedFilter entity class would look:

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Revised DTO Class

Make similar adjustments to your DTO (Data Transfer Object) to ensure it aligns with your new Rules structure:

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

Conclusion

By implementing these changes—utilizing the hypersistence-utils-hibernate library and defining a structured POJO—you can successfully store JSON data in PostgreSQL, maintaining its integrity and accessibility. This approach not only resolves the current issues but also promotes better organization and management of complex data structures within your application.

So, the next time you encounter problems with JSON serialization in your Spring Boot project connected to a PostgreSQL database, consider these straightforward solutions!