I have a spring boot application with mysql database. I'm planning to migrate this to postgres database. So, do I need to change anything in the entity classes(like datatypes) and JPA repositories?
I have never done this myself so I cannot speak from experience. The abstraction layer of JPA should be able to do this depending on how you used and extended the platform.
If you only used JPA (and additional Spring) annotations in your classes and kept your custom queries to JPQL then you should be good to go.
If you extended your code with Native Queries or if you extended the types to support MySQL only types, you might need to make changes. But again this depends on which libraries you used. One of the more common custom types such as JSON in hibernate would be supported in both if you used https://github.com/vladmihalcea/hibernate-types.
So there is no definitive answer, it really depends on your code-base.
Related
Till now I have a understanding that JPA is a specification and Hibernate is ORM tool based on that specification and we can have different implementations of JPA. But I could not understand how is it possible then that JPA 2 doesnot supports java.time.Instant but Hibernate 5.2x supports it.
I have read this question why-jpa-does-not-support-java-time-instant but it doesn't have proper answers and doesn't talks how hibernate is able to provide support for Instant being a JPA specific implementation.
JPA is just a specification - it's a set of interfaces to provide common API. It describes the access to relational database to help developers manage multiple dbms vendors. There are multiple implementations of JPA, the reference is EclipseLink developed under Eclipse Public License. In other words it's a standard, like SQL-92 or SQL:2006. Databases that claim to support given standard can implement own features outside it to make data access easier.
In order to use JPA, we need an implementation. Besides EclipseLink the most common are Hibernate, OpenJPA and DataNucleus. All of them support JPA 2.2.
They implement the JPA specification but also provide additional functionalities to overcome some of JPA's shortcomings. Those functionalities are the main difference between implementations and make the code specific i.e. using, for example, Hibernate follows in code changes needed to be done when changing JPA specification. Only when using JPA we can switch between implementations. However I have never seen any project, that changed JPA vendor.
What are the main differences between Hibernate and Spring Data JPA?
When should we not use Hibernate or Spring Data JPA?
Also, when may Spring JDBC template perform better than Hibernate and Spring Data JPA?
Hibernate is a JPA implementation, while Spring Data JPA is a JPA data access abstraction. Spring Data JPA cannot work without a JPA provider.
Spring Data offers a solution to the DDD Repository pattern or the legacy GenericDao custom implementations. It can also generate JPA queries on your behalf through method name conventions.
With Spring Data, you may use Hibernate, EclipseLink, or any other JPA provider. A very interesting benefit of using Spring or Java EE is that you can control transaction boundaries declaratively using the #Transactional annotation.
Spring JDBC is much more lightweight, and it's intended for native querying, and if you only intend to use JDBC alone, then you are better off using Spring JDBC to deal with the JDBC verbosity.
Therefore, Hibernate and Spring Data are complementary rather than competitors.
There are 3 different things we are using here :
JPA : Java persistence api which provide specification for persisting, reading, managing data from your java object to relations in database.
Hibernate: There are various provider which implement jpa. Hibernate is one of them. So we have other provider as well. But if using jpa with spring it allows you to switch to different providers in future.
Spring Data JPA : This is another layer on top of jpa which spring provide to make your life easy.
So lets understand how spring data jpa and spring + hibernate works-
Spring Data JPA:
Let's say you are using spring + hibernate for your application. Now you need to have dao interface and implementation where you will be writing crud operation using SessionFactory of hibernate. Let say you are writing dao class for Employee class, tomorrow in your application you might need to write similiar crud operation for any other entity. So there is lot of boilerplate code we can see here.
Now Spring data jpa allow us to define dao interfaces by extending its repositories(crudrepository, jparepository) so it provide you dao implementation at runtime. You don't need to write dao implementation anymore.Thats how spring data jpa makes your life easy.
I disagree SpringJPA makes live easy. Yes, it provides some classes and you can make some simple DAO fast, but in fact, it's all you can do.
If you want to do something more than findById() or save, you must go through hell:
no EntityManager access in org.springframework.data.repository classes (this is basic JPA class!)
own transaction management (hibernate transactions disallowed)
huge problems with more than one datasources configuration
no datasource pooling (HikariCP must be in use as third party library)
Why own transaction management is an disadvantage? Since Java 1.8 allows default methods into interfaces, Spring annotation based transactions, simple doesn't work.
Unfortunately, SpringJPA is based on reflections, and sometimes you need to point a method name or entity package into annotations (!). That's why any refactoring makes big crash.
Sadly, #Transactional works for primary DS only :( So, if you have more than one DataSources, remember - transactions works just for primary one :)
What are the main differences between Hibernate and Spring Data JPA?
Hibernate is JPA compatibile, SpringJPA Spring compatibile. Your HibernateJPA DAO can be used with JavaEE or Hibernate Standalone, when SpringJPA can be used within Spring - SpringBoot for example
When should we not use Hibernate or Spring Data JPA? Also, when may Spring JDBC template perform better than Hibernate / Spring Data JPA?
Use Spring JDBC only when you need to use much Joins or when you need to use Spring having multiple datasource connections. Generally, avoid JPA for Joins.
But my general advice, use fresh solution—Daobab (http://www.daobab.io).
Daobab is my Java and any JPA engine integrator, and I believe it will help much in your tasks :)
Spring Data is a convenience library on top of JPA that abstracts away many things and brings Spring magic (like it or not) to the persistence store access. It is primarily used for working with relational databases. In short, it allows you to declare interfaces that have methods like findByNameOrderByAge(String name); that will be parsed in runtime and converted into appropriate JPA queries.
Its placement atop of JPA makes its use tempting for:
Rookie developers who don't know SQL or know it badly. This is a
recipe for disaster but they can get away with it if the project is trivial.
Experienced engineers who know what they do and want to spindle up things
fast. This might be a viable strategy (but read further).
From my experience with Spring Data, its magic is too much (this is applicable to Spring in general). I started to use it heavily in one project and eventually hit several corner cases where I couldn't get the library out of my way and ended up with ugly workarounds. Later I read other users' complaints and realized that these issues are typical for Spring Data. For example, check this issue that led to hours of investigation/swearing:
public TourAccommodationRate createTourAccommodationRate(
#RequestBody TourAccommodationRate tourAccommodationRate
) {
if (tourAccommodationRate.getId() != null) {
throw new BadRequestException("id MUST NOT be specified in a body during entry creation");
}
// This is an ugly hack required for the Room slim model to work. The problem stems from the fact that
// when we send a child entity having the many-to-many (M:N) relation to the containing entity, its
// information is not fetched. As a result, we get NPEs when trying to access all but its Id in the
// code creating the corresponding slim model. By detaching the entity from the persistence context we
// force the ORM to re-fetch it from the database instead of taking it from the cache
tourAccommodationRateRepository.save(tourAccommodationRate);
entityManager.detach(tourAccommodationRate);
return tourAccommodationRateRepository.findOne(tourAccommodationRate.getId());
}
I ended up going lower level and started using JDBI - a nice library with just enough "magic" to save you from the boilerplate. With it, you have complete control over SQL queries and almost never have to fight the library.
If you prefer simplicity and more control on SQL queries then I would suggest going with Spring Data/ Spring JDBC.
Its good amount of learning curve in JPA and sometimes difficult to debug issues.
On the other hand, while you have full control over SQL, it becomes much easier to optimize query and improve performance. You can easily share your SQL with DBA or someone who has a better understanding of Database.
Hibernate is implementation of "JPA" which is a specification for Java objects in Database.
I would recommend to use w.r.t JPA as you can switch between different ORMS.
When you use JDBC then you need to use SQL Queries, so if you are proficient in SQL then go for JDBC.
I'm new to JPA, and i understands that JPA is an interface that Hibernate and eclipse link are implementing..
can i implement it myself? or use JPA without Hibernate or eclipse link ?
all the tutorials and examples I've seen regards one of the implementations, but as for this answer: What is a JPA implementation?
If you want your application to be portable, use only JPA.
how can I use only JPA ? do someone know for such a tutorial to write my own PersistenceProvider(i thinks that's what i need to do..)
Thank you.
You should not build your own JPA implementation, but use the JPA API and rely on an implementation such as Hibernate or EclipseLink. As long as you'll use classes/interfaces in the javax.persistence namespace (or package if you prefer), you'll be strictly using JPA.
The only reason to implement JPA is that you are the provider-manufacturer of an enterprise-level ORM such as Hibernate or iBatis.
JPA is a standard wrapper for the existing ORM products, it is an option available to you to use it as a wrapper for your ORM. It can't be used (as far as I know) appart from an ORM.
That in the case that your decision is to use an ORM for your database access. You must consider every option: does JDBC stand-alone suit you for your job? Would an object abstraction layer bring anything to your application? Is there any legacy condition that you must consider (for example, tons of code in PL/SQL that hide the tables from you) that would make you discard an ORM?
there exists a requirement which sounds quite simple: support a couple of RDBMS (which i intend to do by using JPA) and MongoDB (spring-data-mongodb is preferred) for persistence. More precisely either the one or the other has to be configured and used, i'm not talking about a cross store.
The procedure shall be the following: code the application, deliver the .war to the customer, in a config file the customer puts the persistence information like the databaseurl (i.e. either mongodb:localhost/test or jdbc:oracle:thin:1521#foo).
Additionally it would be nice to extend the implemenation for further datastores like couchdb.
Is there a best practice or at least any of a non-too-much-overhead-solution which is not that dirty?
Is Eclipselink an option? The latest supports JPA for both RDBMS and NOSQL (including Mongo)
https://blogs.oracle.com/theaquarium/entry/jpa_and_nosql_using_eclipselink
I am currently developing a project with similar needs. I can advise you according to my experience.
I believe that the major concern here is not regarding the technology but more regarding how you will structure data. For that I advise you to use the AbstractFactory and FactoryMethod design patterns. Regaring technology I am using Morphia for MongoDB and JPA for MySQL (as an example) and it's working like a charm.
So the easiest way is to create interfaces for all the objects you want to persist, and then do an implementation for MongoDB with Morphia tags and another with JPA tags. Create one factory for MongoDB that will deal with all the CRUD operations in the MongoDB objects and do the same with a JPA factory.
When the application is starting, you only have to verify the user choice for persistence and then initialize the corresponding factory.
DataNucleus JPA allows you to persist to RDBMS, MongoDB and a host of other datastores (LDAP, HBase, AppEngine, Neo4j, etc), with a simple change to the connection URL, and has done so for quite some time
I am learning Java EE and I downloaded the eclipse with glassfish for the same. I saw some examples and also read the Oracle docs to know all about Java EE 5. Connecting to a database was very simple. I opened a dynamic web project, created a session EJB , I used EntityManager and with the get methods could access the stored data table.
For my next project I had create a simple class and then access some DB table. The very first problem I encountered was that the PersistenceUnit attribute would only be recognized by EJB,Servlet etc and not a simple java class. So then I could not use the EntityManager way(or can I?)
I was asked to go via the "JDBC" way. The very first problem I encountered was to get the connection to the DB. It seems all this must be hardcoded. I had a persistence.xml with which I could easily configure the data base connection. Even setting up a driver for the DB was easy. Also there no get/set methods in the JDBC for accessing table entities.
How do I understand JPA and persistence in relation to JDBC? What was JPA thought for? Why is there set/get methods? Can someone throw some light on the essence of these two and what are the pros/cons without "jargons"?? Please also suggest some links. A simple google search for JPA and JDBC differences led me to some sites full of "terminology" I couldn't follow :(
In layman's terms:
JDBC is a standard for Database Access
JPA is a standard for ORM
JDBC is a standard for connecting to a DB directly and running SQL against it - e.g SELECT * FROM USERS, etc. Data sets can be returned which you can handle in your app, and you can do all the usual things like INSERT, DELETE, run stored procedures, etc. It is one of the underlying technologies behind most Java database access (including JPA providers).
One of the issues with traditional JDBC apps is that you can often have some crappy code where lots of mapping between data sets and objects occur, logic is mixed in with SQL, etc.
JPA is a standard for Object Relational Mapping. This is a technology which allows you to map between objects in code and database tables. This can "hide" the SQL from the developer so that all they deal with are Java classes, and the provider allows you to save them and load them magically. Mostly, XML mapping files or annotations on getters and setters can be used to tell the JPA provider which fields on your object map to which fields in the DB. The most famous JPA provider is Hibernate, so it's a good place to start for concrete examples.
Other examples include OpenJPA, toplink, etc.
Under the hood, Hibernate and most other providers for JPA write SQL and use JDBC to read and write from and to the DB.
Main difference between JPA and JDBC is level of abstraction.
JDBC is a low level standard for interaction with databases. JPA is higher level standard for the same purpose. JPA allows you to use an object model in your application which can make your life much easier. JDBC allows you to do more things with the Database directly, but it requires more attention. Some tasks can not be solved efficiently using JPA, but may be solved more efficiently with JDBC.
JDBC is a much lower-level (and older) specification than JPA. In it's bare essentials, JDBC is an API for interacting with a database using pure SQL - sending queries and retrieving results. It has no notion of objects or hierarchies. When using JDBC, it's up to you to translate a result set (essentially a row/column matrix of values from one or more database tables, returned by your SQL query) into Java objects.
Now, to understand and use JDBC it's essential that you have some understanding and working knowledge of SQL. With that also comes a required insight into what a relational database is, how you work with it and concepts such as tables, columns, keys and relationships. Unless you have at least a basic understanding of databases, SQL and data modelling you will not be able to make much use of JDBC since it's really only a thin abstraction on top of these things.
JDBC is the predecessor of JPA.
JDBC is a bridge between the Java world and the databases world. In JDBC you need to expose all dirty details needed for CRUD operations, such as table names, column names, while in JPA (which is using JDBC underneath), you also specify those details of database metadata, but with the use of Java annotations.
So JPA creates update queries for you and manages the entities that you looked up or created/updated (it does more as well).
If you want to do JPA without a Java EE container, then Spring and its libraries may be used with the very same Java annotations.
The difference between JPA and JDBC is often the deciding factor, as the two database technologies take very different approaches to work with persistent data. JDBC, allows developers to construct database-driven Java programs utilizing object-oriented semantics
JPA is database-agnostic, meaning that the same code can be used in a variety of databases with few modifications. JPA serves as a layer of abstraction that hides the low-level JDBC calls from the developer, making database coding considerably easier
hibernate is implementation of JPA
hibernate you can see further details from here about jpa Query
JDBC is a layer of abstraction on top of vendor-specific relational DB drivers. Without JDBC you would have to deal with peculiarities of a specific DB (not much fun). JDBC, however, is too low-level and entails a lot of boilerplate code.
JPA is a specification of an ORM (just an interface). It's useless without an implementation.
ORM is a kind of framework concerned with saving and retrieving objects to/from the relational DB. There are many ORMs out there with different levels of abstraction. Some of them require manually-written SQL.
Some of ORMs implement JPA (Hibernate or EclipseLink, for example). Most of them are built on top of JDBC.
Such ORMs provide the maximum level of abstraction to the point you almost never have to write SQL queries. Some people love JPA-based ORMs (they reduce boilerplate), some hate (abstraction is leaky, specification is overly complex and there are lots of corner cases).
Java analogy:
class ORM extends JDBC implements JPA {
}
Persistence layers have protocols versions so abstractions also have versions therefore you need ranges of supported versions. It is version hell