Spring Data MongoDB Tutorial
By Amr Mohammed
Spring Data for MongoDB is part of the umbrella Spring Data project which aims to provide a familiar and consistent Spring-based programming model for new data stores while retaining store-specific features and capabilities.
The Spring Data MongoDB project provides integration with the MongoDB document database. Key functional areas of Spring Data MongoDB are a POJO centric model for interacting with a MongoDB DBCollection and easily writing a Repository style data access layer.
Spring Data provides a various methodologies when it comes integrating with the MongoDB, beyond using the MongoDB Template that’s supported by Spring, a Spring-Based repository concept is also used.
Regardless of the methodology that’s being used for integrating with the MongoDB, all of those aspects that you may looking for starting from easy configurable framework reaching into an efficient and productive using of those provided libraries are exist.
Here, you will find a proper explanation of integrating Spring Data with MongoDB by using Mongo Template or by using Spring Data repositories.
via EJB Development Tools in MyEclipse.
Enterprise Java Beans (EJB) have been the JEE / Java EE 5 standard for implementing Java enterprise business functionality and interfacing with database resources. MyEclipse EJB3 tools support the simplified annotation-based POJO programming model of Java EE 5. These tools enable you to develop and deploy an EJB3 bean in minutes. MyEclipse also supports traditional EJB2 development using integrated XDoclet annotation processing for rapid development of JEE 1.4 enterprise java beans.
MyEclipse EJB Development tools include:
- EJB Creation wizard
- XML source and form-based editor for deployment descriptor customization
- EJB Deployment Services
In addition, MyEclipse provides an EJB XDoclet attribute-oriented programming environment. See Using XDoclet in MyEclipse for more information.
- Java editor enhancements to support code completion for XDoclet annotations and JEE APIs
- Auto-generation of EJB and Home interfaces and lookup utilities
- ejb-jar.xml and application server specific deployment descriptor generation
via Jaxb parsing : xml – Tutorial SavvyTutorial Savvy.
- JAXB is for converting java pojo to xml.
- It Supports annotation too.
- In jdk 1.6 and above it is aready package inside.
- For less then jdk 1.6 , download from link:-
via JAX-RS 2.x vs Spring MVC: Returning an XML representation of a list of objects ~ Codeleak.pl.
JSON is King as it goes to all kinds of REST* APIs, but still you may need to expose multiple representations, including XML. With both JAX-RS and Spring MVC this is very simple. Actually, the only thing to do is to annotate POJOs returned from the API call with JAXB annotation and that’s it.
But when it goes to serializing a list of objects, JAX-RS will do a bit better than Spring MVC, in my opinion. Let’s see.
In our code so far (Destructuring and Recursion in ES-6 and Tail Calls, Default Arguments, and Excessive Recycling in ES-6), we have used arrays and objects to represent the structure of data, and we have extensively used the ternary operator to write algorithms that terminate when we reach a base case.
For example, this length function uses a functions to bind values to names, POJOs to structure nodes, and the ternary function to detect the base case, the empty list.
Click to Read: The first blog in this mini-series introduced the Spring MVC Test Framework and demonstrated its use in unit testing Spring MVC Controller classes as controllers rather then as POJOs. It’s now time to talk about using the framework for integration testing.
Java EE + MongoDb with Apache TomEE and Jongo Starter Project
Know MongoDB and Java EE, but you don’t know exactly how to integrate both of them? Do you read a lot about the topic but you have not found a solution which fits this purpose? This starter project is for you:
You will learn how to use MongoDB and Java EE in a fashion way without having to depend on Spring Data MongoDB framework but with “similar” basic features.
The only thing better than a Maven archetype is a repository you can fork with everything already setup. Skip the documentation and just fork-and-code. This starter project contains:
The example is pretty simple, we want to store colors inside a MongoDB collection.
Our POJO is like: