Hibernate VS Spring Data JPA

And Hibernate ORM is LGPL: see the license on their Github project.

13. Hibernate

I'm using Spring Data JPA as a persistence framework. Therefore, those classes are Hibernate entities.

Hibernate -- https://hibernate.org (huge learning curve)

To prevent SQL Injection attacks to sanitize input data. You can either validate every single input or validate using parameter binding. Parameter binding is mostly used by developers as it offers efficiency and security. If you are using a popular ORM such as sequelize, hibernate, etc then they already provide the functions to validate and sanitize your data. If you are using database modules other than ORM such as mysql for Node or Mongoose, you can use the escaping methods provided by the module. Let's learn by example. The codebase shown below is using mysql module for Node.

Doesn't this commit integrate Jsonb into core?

There are 10k integration tests you could now use as a reference.

When I wrote the Hibernate User Guide, I made all code samples be extracted from the integration tests.

Please note: The H2 database was chosen for simplicity. You can replace it with any other database technology and use the Spring Boot JPA to connect. The demo application will still work.

There is a small typo on the second issue, I have tried opening a PR myself to fix it https://github.com/spring-projects/spring-data-jpa/pull/2869. I hope i haven't messed up something lol.

data-jpa: Spring Data JPA, makes it easy to create JPA-based repositories

This repository is an example application for the Spring Boot framework that employs the Netflix DGS framework to expose a GraphQL API and that interacts with a PostgreSQL DBMS via Spring Data JPA.

I'm using Spring Data JPA as a persistence framework. Therefore, those classes are Hibernate entities.

If you go with hibernate note that there are a few different ways to use it. It can be used standalone and it can be used as a JPA implementation. If you use Spring and use hibernate as a JPA implementation then a popular Spring data layer abstraction is Spring Data which has JPA support with its Spring Data JPA library (https://spring.io/projects/spring-data-jpa)

ShardingSphere-JDBC provides read/write splitting features and it is integrated with application programs so that the complex configuration between application programs and database clusters can be separated from application programs. Developers can manage the Shard through configuration files and combine it with ORM frameworks such as Spring JPA and Mybatis to completely separate the duplicated logic from the code, which greatly improves the ability to maintain code and reduces the coupling between code and database.

"Spring Batch" is not the Spring technology to access databases conveniently. That would be "Spring Data" or even "Spring Data JPA": https://spring.io/projects/spring-data-jpa

In this project we have microservice events tore implemented using PostgreSQL,Spring Data JPA and Kafka, for projections used Spring Data MongoDB and communicate by REST.