This guide walks you through the process of building an application with GemFire’s data fabric.
What you’ll build
You will use the powerful Spring Data GemFire library to store and retrieve POJOs.
What you’ll need
Define a simple entity
GemFire is a data fabric. It maps data into regions, and it’s possible to configure distributed regions across multiple nodes. However, for this guide you use a local region so you don’t have to set up anything extra.
In this example, you store Person objects with a few annotations.
Here you have a
Person class with two attributes, the
name and the
age. You also have a single constructor to populate the entities when creating a new instance.
Notice that this class is annotated
@Region("hello"). When GemFire stores the class, a new entry is created inside that specific region. This class also has
name marked with
@Id. This is for internal usage to help GemFire track the data.
The next important piece is the person’s age. Later in this guide, you will use it to fashion some queries.
toString() method will print out the person’s name and age.
Create simple queries
Spring Data GemFire focuses on storing data in GemFire. It also inherits powerful functionality from the Spring Data Commons project, such as the ability to derive queries. Essentially, you don’t have to learn the query language of GemFire; you can simply write a handful of methods and the queries are written for you.
To see how this works, create an interface that queries
PersonRepository extends the
CrudRepository interface and plugs in the type of values and keys it works with:
String. Out-of-the-box, this interface comes with many operations, including standard CRUD (create-read-update-delete).
You can define other queries as needed by simply declaring their method signature. In this case, you add
findByName, which essentially seeks nodes of type
Person and find the one that matches on
You also have:
findByAgeGreaterThanto find people above a certain age
findByAgeLessThanto find people below a certain age
findByAgeGreaterThanAndAgeLessThanto find people in a certain range
Let’s wire this up and see what it looks like!
Create an application class
Here you create an Application class with all the components.
In the configuration, you need to add the
@EnableGemfireRepostorieswill scan the current package for any interfaces that extend one of Spring Data’s repository interfaces. Use it’s
basePackageClasses=MyRepository.classto safely tell Spring Data GemFire to scan a different root package by type.
A GemFire cache is required, to store all data. For that, you have Spring Data GemFire’s convenient
|In this guide, the cache is created locally using built-in components and an evaluation license. For a production solution, Spring recommends the production version of GemFire, where you can create distributed caches and regions across multiple nodes.|
Remember how you tagged
Person to be stored in
@Region("hello")? You define that region here with
LocalRegionFactoryBean<String, Person>. You need to inject an instance of the cache you just defined while also naming it
The types are
public static void main uses Spring Boot’s
SpringApplication.run() to launch the application and invoke the
CommandLineRunner that builds the relationships.
The application autowires an instance of
PersonRepository that you just defined. Spring Data GemFire will dynamically create a concrete class that implements that interface and will plug in the needed query code to meet the interface’s obligations. This repository instance is the used by the
run() method to demonstrate the functionality.
Store and fetch data
In this guide, you are creating three local
Person s, Alice, Baby Bob, and Teen Carol. Initially, they only exist in memory. After creating them, you have to save them to GemFire.
Now you run several queries. The first looks up everyone by name. Then you execute a handful of queries to find adults, babies, and teens, all using the age attribute. With the logging turned up, you can see the queries Spring Data GemFire writes on your behalf.
You should see something like this (with other stuff like queries as well):
Before linking up with GemFire... Alice is 40 years old. Baby Bob is 1 years old. Teen Carol is 13 years old. Lookup each person by name... Alice is 40 years old. Baby Bob is 1 years old. Teen Carol is 13 years old. Adults (over 18): Alice is 40 years old. Babies (less than 5): Baby Bob is 1 years old. Teens (between 12 and 20): Teen Carol is 13 years old.
Congratulations! You set up an embedded GemFire server, stored simple entities, and developed quick queries.