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Hunter Thompson
Hunter Thompson

Spring Boot In Action

The th:action="@/greeting" expression directs the form to POST to the /greeting endpoint, while the th:object="$greeting" expression declares the model object to use for collecting the form data. The two form fields, expressed with th:field="id" and th:field="content", correspond to the fields in the Greeting object.

Spring Boot in Action

@EnableAutoConfiguration: Tells Spring Boot to start adding beans based on classpath settings, other beans, and various property settings. For example, if spring-webmvc is on the classpath, this annotation flags the application as a web application and activates key behaviors, such as setting up a DispatcherServlet.

The command az spring app create is currently not idempotent. After you run it once, you'll get an error if you run the same command again. We recommend this workflow on existing Azure Spring Apps apps and instances.

The "Delete Staging Deployment" action allows you to delete the deployment not receiving production traffic. This frees up resources used by that deployment and makes room for a new staging deployment:

Another option is to use the Maven Plugin for deploying the Jar and updating App settings. The command mvn azure-spring-apps:deploy is idempotent and will automatically create Apps if needed. You don't need to create corresponding apps in advance.

GitHub Actions should be enabled automatically after you push .github/workflow/main.yml to GitHub. The action will be triggered when you push a new commit. If you create this file in the browser, your action should have already run.

If your action runs in error, for example, if you haven't set the Azure credential, you can rerun checks after fixing the error. On the GitHub repository page, select Actions, select the specific workflow task, and then select the Rerun checks button to rerun checks:

The purchase of Spring Boot in Action includes free access to a private web forum run by Manning Publications, where you can make comments about the book, ask technical questions, and receive help from the author and from other users. To access the forum and subscribe to it, point your web browser to This page provides information on how to get on the forum once you are registered, what kind of help is available, and the rules of conduct on the forum.

Now that we have our project created on Heroku, we need to create a Procfile in our spring boot project, this is because with that we tell how to run our application once it is created.

We need to create a YAML file for the Heroku profile, this file should be called application-heroku.yml as we can see in the previous example, this is the name of the spring active profiles that we are sending in our Procfile, inside this YAML file this is the configuration that we must set:

Our workflow will kick off when any new semantic tag (e.g. v1.0.1) is pushed to the repository. I will go over key areas below, but download the full version of github-actions-buildOCI-image.yml from my github.

The Scheduling abstraction provided by Spring Boot works pretty well for simple use-cases. But if you have more advanced use cases like Persistent Jobs, Clustering, Dynamically adding and triggering new jobs then check out the following article -

Slow performance is a recurring and complex problem that developers are often faced with. One of the most common approaches to address such a problem is through caching. Indeed, this mechanism allows achieving a substantial improvement in the performance of any type of application. The problem is that dealing with caching is not an easy task. Luckily, caching is provided by Spring Boot transparently thanks to the Spring Boot Cache Abstraction, which is a mechanism allowing consistent use of various caching methods with minimal impact on the code. Let's see everything you should know to start dealing with it.

First, we will introduce the concept of caching. Then, we will study the most common Spring Boot cache-related annotations, understanding what the most important ones are, where, and how to use them. Next, it will be time to see what are the most popular cache engines supported by Spring Boot at the time of writing. Finally, we will see Spring Boot caching in action through an example.

The Spring Boot Cache Abstraction does not come with the framework natively but requires a few dependencies. Thankfully, you can easily install all of them by adding the spring-boot-starter-cache to your dependencies.

In detail, spring-boot-starter-cache brings the spring-context-support module, which transitively depends on spring-context. The latter allows Spring to deal with contexts, also called Spring IoC (Inversion of Control) containers, which are responsible for managing objects in a Spring application. In particular, they are in charge of configuring, instantiating, and assembling Beans by reading configuration files and employing annotations. While the spring-context-support module provides support for integrating third-party cache engines, which will be presented later, into a Spring application.Follow this link from the Spring official documentation for further reading on the Spring IoC containers and the bean management.

After adding the dependencies required to start using the Spring Cache Abstraction mechanism, it is time to see how to implement the desired caching logic. This can easily be achieved by marking Java methods with specific caching-related annotations. Let's delve into the most important ones, showing where to use them and how.

To enable the Spring Boot caching feature, you need to add the @EnableCaching annotation to any of your classes annotated with @Configuration or to the boot application class annotated with @SpringBootApplication.

In this article, we looked at what you should know to start dealing with caching in a Spring Boot application. Caching has become increasingly important in computer science, and implementing a properly defined caching system is not an easy task. Luckily, Spring Boot comes with the Spring Cache Abstraction, which makes everything much easier. As shown, by employing a handful of annotations, you can implement your desired caching logic effortlessly. This would be impossible without using a cache engine, but as we have seen, you can choose your favorite from the many supported by Spring Boot. In conclusion, dealing with caching in Spring Boot is not as complex as you might expect. As a consequence, every Spring Boot developer should master its key aspects, and explaining them is what this article was aimed at.

GitHub Actions are a great Automation and CI/CD tool from GitHub. You may want to build GraalVM Native Images using GitHub Actions to have it as part of your CI/CD plan, or you may want an easy way to build it on a x86 platform. Because the resulting application is a binary file, it is compiled for the CPU architecture you are on. So if you are using an Apple M1/M2 computer, the binary you build can only be run on arm64 systems, not on Intel/x86 systems. However, you can get an x86 compatible build from GitHub actions, which can be deployed to most standard servers easily.

Error creating bean with name 'elasticsearchConverter' defined in class path resource [org/springframework/boot/autoconfigure/data/elasticsearch/ElasticsearchDataAutoConfiguration.class]: Unsatisfied dependency expressed through method 'elasticsearchConverter' parameter 0; nested exception is org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'mappingContext' defined in class path resource [org/springframework/boot/autoconfigure/data/elasticsearch/ElasticsearchDataAutoConfiguration.class]: Post-processing of merged bean definition failed; nested exception is java.lang.NoClassDefFoundError: org/springframework/data/mapping/model/Propertyplease help me

The above example showcased how to perform a GraphQL mutation. The same workflow can be extended to perform a GraphQL query which proxies to a Java REST API in the background. Typical use cases for query actions include computed fields, data enrichment, data transformations, fetching from multiple databases and API sources etc.

In addition to scanning during development, we can use Snyk to monitor dependencies post deployment as well. When the release is complete, use the predefined Snyk action once again, but this time set the command property to monitor.

With GitHub Actions, creating a CI/CD pipeline for your GitHub project is quite straightforward. And with the Snyk actions, you can easily integrate security scanning on multiple levels for all applications.

It has already SDKs, which are ready to use by many popular libraries and frameworks. Spring Boot is no exception. Spring Boot provided tracing with the spring-cloud-starter-sleuth but the transition to OpenTelemetry created the need for a fairly new spring project spring-cloud-starter-sleuth-otel.

The endpoint and probability for trace exporting for the otel-collector are configured in the YAML. Config provides also other properties to modify for the spring-otel starter (Configuration properties). 041b061a72

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