I would like to know what's the key difference between Apache Open JPA and Spring JPA.
Spring already has a mature JPA for dealing with all kinds of Java persistence but still saw few projects in my company where they uses Apache Open JPA.
Can we integrate Apache Open JPA with Spring. Also like to know what are key benefits of Open JPA.
for example ElasticPath uses Spring but for JPA they uses Apache Open JPA
First: There is no Spring JPA.
There is spring-orm which is one of the many artifacts published by the Spring Framework. It contains classes dealing with JPA and it's main implementations (Hibernate and EclipsLink) in order to integrate them into the rest of the framework. Most Spring users rarely deal with it directly.
You are probably thinking of Spring Data JPA which offers repositories implemented with JPA, which in turn offer many ways to declare queries: Query derivation from method names, named queries based on method names, annotated queries, query by example, specifications ... It is part of the Spring Data project, which offers similar features with many different persistence technologies (JPA, MongoDb, Couchbase, Elasticsearch, Jdbc, Redis, Ldap ...). Spring Data JPA uses spring-orm
Since it got mentioned a couple of times now it is time to explain JPA: JPA stands for Java Persistence API and is an API which can and is implemented by multiple vendors. Hibernate is the most popular implementation, EclipseLink is the reference implementation and Apache Open JPA is another one.
Spring Data JPA (and spring-orm) are (mostly) based on JPA and therefore you should be able to use Apache Open JPA with it. But development of Open JPA was so slow in recent years that the Spring Data Team dropped OpenJPA from the JPA implementations it tests against.
To get a feeling for the development speed, you might look at the releases from the last three years (2019-2021):
Hibernate: 32 (not counting alpha and beta releases)
EclipseLink: 12 (not counting Milestone and release candidates)
OpenJPA: 4
As for the benefits of Apache Open JPA, I consider that an opinion question and therefore off topic for SO. But since people in your company seem to use it, I suggest asking them why they chose Open JPA over the other implementations.
Related
I am new to Spring and Hibernate. I have a project using Spring, Hibernate and PostgreSQL. I know that I can query the database using Spring Data JPA or Hibernate, but I don't know what the benefits and disadvantages of each approach. I also know that in the background, Spring Data JPA will call Hibernate. So what is the best way I should use to query the database to get the best performance, Spring Data JPA or Hibernate or depending on the specific usage situation. Thanks very much
I think it is based on the requirements of your project.
You can find more answers to this question at StackOverflow.
I am trying to "really" understand Spring Framework. I have got some fair understanding of Spring Core (DI), and Spring MVC.
For data part, I am now focussing on Spring Data JPA. As I understand, JPA is a standard specification, for which there are multiple implementations, Hibernate being the famous one.
Now, when I started Spring Data JPA, I was under the impression that Spring Data JPA is an independent implementation of JPA specification. It turned out that I am wrong.
If I understood correctly, Spring Data JPA is an abstraction layer provided by Spring, which internally uses other JPA provider (Example Hibernate), so typically it is like this:
Application ---> Spring Data JPA --> Hiberate --> JDBC ----> DB
Is my understanding correct? If so isn't Spring Data JPA misleading? It is NOT a JPA provider in itself, it is just an abstraction layer, which works on top of other JPA provider.
I am not sure if I really understand Spring framework or it is a complex framework altogether?
Can anyone please help me understand it?
I don't think it's misnamed (disclaimer: I am the project lead). All Spring Data projects list the store or API they're based on in their name. Spring Data JPA is basically Spring Data for JPA, just like Spring Data MongoDB is Spring Data for MongoDB, just like Spring Batch is Spring for batch applications, Spring Integration is Spring for integration projects.
Do correct your dependency graph for JPA:
Application -> Spring Data JPA -> JPA <- Hibernate -> JDBC -> DataSource
-> — uses
<- — implements
The same for MongoDB:
Application -> Spring Data MongoDB -> MongoDB Java driver -> MongoDB
etc. I'd still be interested where exactly you got the impression that Spring Data JPA is an implementation of JPA as neither the project page nor the reference documentation state that anywhere. In fact, especially the project page is very explicit about what functionality the project provides. Also, it might help to study the description of the umbrella project, which tries to set some fundamental context for all the modules contained in it.
I'm gradually introducing Spring Boot to a Spring JPA project. My intent was to first introduce Spring Boot, than at some later stage Spring Data, but I was not able to find any examples (nor a suitable starter) that uses Spring Boot + JPA without Spring Data.
How come? Is there any benefit of introducing Spring Boot to Spring JPA project, without Spring Data, or does it make sense only with Spring Data in place.
Any article link or example code would be helpfull and appreciated, thanks
More context
I'm working with a live project so every change introduces risk. We're discussing of moving from XML to JAVA based configuration, and I'm advocating adopting Spring Boot at a same time, but I lack persuasive selling points.
Personally, I want to include Spring Boot on all layers to boost future productivity, but I need to argue better the direct immediate benefits of using it in our Service/DAO module which is at the moment based on Spring/JPA/Hibernate with the good old manual CRUD implementations.
So I need selling points for using Spring Boot on a persistence layer, but ones that span beyond Spring Data (e.g. configuration gains, maintenance, testing...anything)
As folks have said above, there is no Spring Boot JPA. It's either Spring Boot Data JPA, or JPA on its own.
The immediate benefits that I could think of:
With Spring Data JPA you don't write the Dao layer. For all CRUD operations, the CrudRepository interface gives you all you need. When that is not enough, all you have to use is the #Query annotation to fine-tune your SQLs
Configuration by convention. For example, with Spring Boot, just having the H2 dependency in the classpath gets Spring to use the H2 in-memory database, gives you Datasource configuration and transaction management (only at the JPA repository level) by default
Ability to create micro-services. With Spring Boot, you can create micro services that can be deployed and run on a number of boxes with java -jar ...
You can enable annotation-based transaction with one simple annotation: #EnableTransactionManagement
Java configuration over XML. This advantage is not to be underestimated
A lot less code (the DAO layer) means also a lot less maintenance
The native ability to provide a RESTful API around data: https://spring.io/guides/gs/accessing-data-rest/
It all depends where your company is heading for. If they want to deliver business value faster and move towards more a DevOps operating model, then the above advantages should be enough selling points for any organisation
Spring wiht JPA (for example Hibernate) but without Spring-Data-Jpa means that you direct interact with the JPA Entity manager and. Typical you use it to implement your own DAO from it and use the #Respository annotation.
#Respository
public class UserDao {
#PersistenceContext EntityManager em;
public User findUserByLogin(Sting login) {
....
}
}
Even if there is no starter project, you could use a Spring-Data-JPA project, and implement the Repository in this old fashion style. (And then you could show how simple it become when you just write Spring-Data-JPA interfaces)
As far as I known, spring-boot means more convenient not any independent business feature.
In other words, spring-boot helps you to start, configure your application in some automatically way. But you can do that without spring-boot with your own specific configuration.
So, you are going to use spring-boot in your application means you are going to use spring-boot's auto configuration feature with your original application.
Actually, Spring JPA implemented in spring-data-jpa is what you are looking for not spring-boot. Of course, spring-boot can simplify your work dramatically.
I have one doubt about implementation of spring data, have basic knowledge about spring data.
I understand JPA and Hibernate, how it work. Hibernate provide the implementation for JPA.
My questions, Can we work alone with Spring data to persist data in mysql or we need some provider like hibernate or toplink etc for midsize application
The structure is as follows:
Spring Data JPA
|
JPA
|
Hibernate
You need Hibernate as an JPA implementation, but from your perspective you should only see Spring Data JPA.
When designing your entities if you make sure that you use only annotations from the javax.persistence package you will not depend on one concrete JPA implementation (in this case Hibernate) but theoretically you could swap Hibernate for EclipseLink or something else.
I am new to the ORM and till now whatever i read on the internet , it implies that JPA as just a specification and internally we need to use either eclipselink or hibernate or any other implementation .
But i got confuse when i saw Spring transaction management in one of my application. Is spring also a implementation of JPA
Can anybody explain what what is the actual difference between JPA ,
(EclipseLink.hibernate) , Spring.
JPA is an specification for object relational mapping, coming with a whole lot of interfaces and annotations that implementations must implement and support. One of the features provided by this specification is the ability to use local transactions with the JPA API.
Hibernate and EclipseLink are implementations of this specification.
Spring is a dependency injection framework that, among other things, allows you to handle transactions in a declarative way. But it doesn't come with any actual transaction manager. It just offers a common layer of abstraction over actual transaction management systems, one of them being JPA. But it can also use JDBC transactions, or JTA transactions. You just have to configure it to use the appropriate transaction management subsystem based on your requirements and technology choices.