Data Grid Code Tutorials
Learn how to use Data Grid capabilities
Abstract
Red Hat Data Grid
Data Grid is a high-performance, distributed in-memory data store.
- Schemaless data structure
- Flexibility to store different objects as key-value pairs.
- Grid-based data storage
- Designed to distribute and replicate data across clusters.
- Elastic scaling
- Dynamically adjust the number of nodes to meet demand without service disruption.
- Data interoperability
- Store, retrieve, and query data in the grid from different endpoints.
Data Grid documentation
Documentation for Data Grid is available on the Red Hat customer portal.
Data Grid downloads
Access the Data Grid Software Downloads on the Red Hat customer portal.
You must have a Red Hat account to access and download Data Grid software.
Making open source more inclusive
Red Hat is committed to replacing problematic language in our code, documentation, and web properties. We are beginning with these four terms: master, slave, blacklist, and whitelist. Because of the enormity of this endeavor, these changes will be implemented gradually over several upcoming releases. For more details, see our CTO Chris Wright’s message.
Chapter 1. Remote caches
Deploy multiple Data Grid Server instances to create remote cache clusters that give you a fault-tolerant and scalable data tier with high-speed access from Hot Rod and REST clients.
1.1. Remote cache tutorials
To run these tutorials you need at least one locally running instance of Data Grid Server. Each tutorial will try to connect to a running server in localhost:11222 with admin/password credentials. However, if a Docker instance is found, and the server is not running, tutorials will spin up a local server with Testcontainers.
You can download the distribution and run the following commands:
$ ./bin/cli.sh user create admin -p "password" $ ./bin/server.sh
Data Grid Server enables authentication and authorization by default. Creating a user named admin gives you administrative access to Data Grid Server.
Building and running remote cache tutorials
You can build and run remote cache tutorials directly in your IDE or from the command line as follows:
$ mvn -s /path/to/maven-settings.xml clean package exec:exec
1.2. Hot Rod Java client tutorials
- Data Grid requires Java 11 at a minimum. However, Hot Rod Java clients running in applications that require Java 8 can continue using older versions of client libraries.
| Tutorial link | Description |
|---|---|
| The simplest code example that demonstrates how a remote distributed cache works. | |
| Demonstrates how to configure caches dynamically when we connect to the Data Grid Server. | |
| Demonstrates how configure near caching to improve the read performance in remote caches. | |
| Demonstrates how to use the Administration API to create caches and cache templates dynamically. | |
| Demonstrates how encoding of caches work. | |
| Detect when data changes in a remote cache with Client Listeners. | |
| Demonstrates how to query remote cache values. | |
| Demonstrates how to use Continuous Query and remote caches. | |
| Demonstrates how remote transactions work. | |
| Demonstrates how to configure caches that have authorization enabled. | |
| Demonstrates how to connect to Data Grid Server with TLS authorization. | |
| Demonstrates how remote counters work. | |
| Demonstrates how remote multimap works. | |
| Demonstrates how to register server tasks and how to execute them from the Hot Rod client. | |
| Demonstrates how to use the Data Grid and JUnit 5 extension. | |
| Demonstrates how to use the Data Grid and persistent caches. | |
| Demonstrates how to use the Data Grid and Redis client to read and write using the Resp protocol. | |
| Demonstrates how to use the Data Grid with the reactive API based on Mutiny. |
Data Grid documentation
You can find more resources for Hot Rod Java clients in our documentation at:
Chapter 2. Embedded caches
Add Data Grid as a dependency to your Java project and use embedded caches that increase application performance and give you capabilities to handle complex use cases.
2.1. Embedded cache tutorials
You can run embedded cache tutorials directly in your IDE or from the command line as follows:
$ mvn -s /path/to/maven-settings.xml clean package exec:exec
| Tutorial link | Description |
|---|---|
| Demonstrates how Distributed Caches work. | |
| Demonstrates how Replicated Caches work. | |
| Demonstrates how Invalidated Caches work. | |
| Demonstrates how transactions work. | |
| Demonstrates how Distributed Streams work. | |
| Demonstrates how JCache works. | |
| Demonstrates how Functional Map API works. | |
| Demonstrates how the Map API works with Data Grid caches. | |
| Demonstrates how to use Multimap. | |
| Uses Data Grid Query to perform full-text queries on cache values. | |
| Detects when data changes in an embedded cache with Clustered Listeners. | |
| Demonstrates how to use an embedded Clustered Counter. | |
| Demonstrates how to use an embedded Clustered Lock. | |
| Demonstrates how to use an embedded Clustered Counter. |
Data Grid documentation
You can find more resources about embedded caches in our documentation at:
2.2. Kubernetes and Openshift tutorial
This tutorial contains instructions on how to run Infinispan library mode (as a microservice) in Kubernetes/OpenShift.
Prerequisites: Maven and Docker daemon running in the background.
Prerequisites
- A running Openshift or Kubernetes cluster
Building the tutorial
This tutorial is built using the maven command:
mvn package
Note that target/ directory contains additional directories like docker (with generated Dockerfile) and classes/META-INF/jkube with Kubernetes and OpenShift deployment templates.
If the Docker Daemon is down, the build will omit processing Dockerfiles. Use docker profile to turn it on manually.
Deploying the tutorial to Kubernetes
This is handle by the JKube maven plugin, just invoke:
mvn k8s:build k8s:push k8s:resource k8s:apply -Doptions.image=<IMAGE_NAME> 1- 1
IMAGE_NAMEmust be replaced with the FQN of the container to deploy to Kubernetes. This container must be created in a repository that you have permissions to push to and is accessible from within your Kubernetes cluster.
Viewing and scaling up
Everything should be up and running at this point. Now login into the OpenShift or Kubernetes cluster and scale the application
kubectl scale --replicas=3 deployment/$(kubectl get rs --namespace=myproject | grep infinispan | awk '{print $1}') --namespace=myprojectUndeploying the tutorial
This is handled by the JKube maven plugin, just invoke:
mvn k8s:undeploy
Chapter 3. Spring and Spring Boot
3.1. Spring and Spring Boot tutorials
These code tutorials use Data Grid Server and require at least one running instance.
Run Spring examples
Two simple tutorials can be run with Spring without Spring Boot:
- Test caching
$ {package_exec}@spring-caching- Test annotations
$ {package_exec}@spring-annotationsRun Spring Boot examples
$ mvn -s /path/to/maven-settings.xml spring-boot:run
Displaying actuator statistics
Navigate to http://localhost:8080/actuator/metrics in your browser to display a list of available metrics. Cache metrics are prefixed with "cache." Display each metric for each cache using tags. For example for the 'puts' stats in the basque-names cache:
http://localhost:8080/actuator/metrics/cache.puts?tag=name:basque-names
Collecting statistics with Prometheus
The prometheus.yml file in this project contains a host.docker.internal binding that allows Prometheus to scrap metrics that the Spring actuator exposes.
Change the YOUR_PATH value in the following command to the directory where Prometheus is running and then run:
Podman
$ podman run -d --name=prometheus -p 9090:9090 -v YOUR_PATH/integrations/spring-boot/prometheus.yml:/etc/prometheus/prometheus.yml prom/prometheus --config.file=/etc/prometheus/prometheus.yml
| Tutorial link | Description |
|---|---|
| Demonstrates how to use Spring Caches with Spring Boot and the Data Grid Server. | |
| Demonstrates how to use Spring Session with Spring Boot and the Data Grid Server. | |
| Demonstrates how to use Spring Caches with Spring Boot and Data Grid Embedded. | |
| Demonstrates how to use Spring Session with Spring Boot and Data Grid Embedded. | |
| Demonstrates how to use Spring Cache and Data Grid Embedded without Spring Boot. |
Data Grid documentation
You can find more resources in our documentation at:
