DbSchema is a super-flexible database designer, which can take you from designing the DB with your team all the way to safely deploying the schema .
The way it does all of that is by using a design model , a database-independent image of the schema, which can be shared in a team using GIT and compared or deployed on to any database.
And, of course, it can be heavily visual, allowing you to interact with the database using diagrams, visually compose queries, explore the data, generate random data, import data or build HTML5 database reports.
Take a look at DBSchema
Azure Spring Apps is a fully managed service from Microsoft (built in collaboration with VMware), focused on building and deploying Spring Boot applications on Azure Cloud without worrying about Kubernetes.
The Enterprise plan comes with some interesting features, such as commercial Spring runtime support, a 99.95% SLA and some deep discounts (up to 47%) when you are ready for production.
>> Learn more and deploy your first Spring Boot app to Azure.
And, you can participate in a very quick (1 minute) paid user research from the Java on Azure product team.
Slow MySQL query performance is all too common. Of course it is. A good way to go is, naturally, a dedicated profiler that actually understands the ins and outs of MySQL.
The Jet Profiler was built for MySQL only , so it can do things like real-time query performance, focus on most used tables or most frequent queries, quickly identify performance issues and basically help you optimize your queries.
Critically, it has very minimal impact on your server's performance, with most of the profiling work done separately - so it needs no server changes, agents or separate services.
Basically, you install the desktop application, connect to your MySQL server , hit the record button, and you'll have results within minutes:
out the Profiler
Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:
REST With Spring (new)
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Looking for the ideal Linux distro for running modern Spring apps in the cloud?
Meet Alpaquita Linux : lightweight, secure, and powerful enough to handle heavy workloads.
This distro is specifically designed for running Java apps . It builds upon Alpine and features significant enhancements to excel in high-density container environments while meeting enterprise-grade security standards.
Specifically, the container image size is ~30% smaller than standard options, and it consumes up to 30% less RAM:
Alpaquita Containers now.
Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.
I built the security material as two full courses - Core and OAuth , to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project .
You can explore the course here:
DbSchema is a super-flexible database designer, which can take you from designing the DB with your team all the way to safely deploying the schema .
The way it does all of that is by using a design model , a database-independent image of the schema, which can be shared in a team using GIT and compared or deployed on to any database.
And, of course, it can be heavily visual, allowing you to interact with the database using diagrams, visually compose queries, explore the data, generate random data, import data or build HTML5 database reports.
Take a look at DBSchema
Slow MySQL query performance is all too common. Of course it is. A good way to go is, naturally, a dedicated profiler that actually understands the ins and outs of MySQL.
The Jet Profiler was built for MySQL only , so it can do things like real-time query performance, focus on most used tables or most frequent queries, quickly identify performance issues and basically help you optimize your queries.
Critically, it has very minimal impact on your server's performance, with most of the profiling work done separately - so it needs no server changes, agents or separate services.
Basically, you install the desktop application, connect to your MySQL server , hit the record button, and you'll have results within minutes:
out the Profiler
Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot .
Get started with Spring Data JPA through the guided reference course:
Get started with Spring Boot and with core Spring, through the Learn Spring course:
1. Overview
A RESTful service can fail for any number of reasons. In this tutorial, we’ll look at how to retrieve the original message from the Feign client if the integrated REST service throws an error.
2. Feign Client
Feign is a pluggable and declarative web service client that makes writing web service clients easier. In addition, to Feign annotations, it also supports JAX-RS , and it supports encoders and decoders to provide more customization .
3. Retrieving Message From ErrorDecoder
When errors occur, the Feign client suppresses the original message, and to retrieve it, we require to write a custom ErrorDecoder . In the absence of such customization, we’ll get the following error:
feign.FeignException$NotFound: [404] during [POST] to [http://localhost:8080/upload-error-1] [UploadClient#fileUploadError(MultipartFile)]: [{"timestamp":"2022-02-18T13:25:22.083+00:00","status":404,"error":"Not Found","path":"/upload-error-1"}]
at feign.FeignException.clientErrorStatus(FeignException.java:219) ~[feign-core-11.7.jar:na]
at feign.FeignException.errorStatus(FeignException.java:194) ~[feign-core-11.7.jar:na]
To handle this error, we’ll create a simple ExceptionMessage Java bean representing the error message:
public class ExceptionMessage {
private String timestamp;
private int status;
private String error;
private String message;
private String path;
// standard getters and setters
Let’s retrieve the original message by extracting it in our customized implementation of ErrorDecoder:
public class RetreiveMessageErrorDecoder implements ErrorDecoder {
private ErrorDecoder errorDecoder = new Default();
@Override
public Exception decode(String methodKey, Response response) {
ExceptionMessage message = null;
try (InputStream bodyIs = response.body()
.asInputStream()) {
ObjectMapper mapper = new ObjectMapper();
message = mapper.readValue(bodyIs, ExceptionMessage.class);
} catch (IOException e) {
return new Exception(e.getMessage());
switch (response.status()) {
case 400:
return new BadRequestException(message.getMessage() != null ? message.getMessage() : "Bad Request");
case 404:
return new NotFoundException(message.getMessage() != null ? message.getMessage() : "Not found");
default:
return errorDecoder.decode(methodKey, response);
In our implementation, we’ve added the logic based on possible errors, and hence we can customize them to meet our requirements. In our switch block’s default case, we’re using Default implementation of ErrorDecoder.
Default implementation decodes the HTTP response when the status is not in the 2xx range. When throwable is retryable, it should be a subtype of RetryableException, and we should raise application-specific exceptions whenever possible.
To configure our customized ErrorDecoder, we’ll add our implementation as a bean in the Feign configuration:
@Bean
public ErrorDecoder errorDecoder() {
return new RetreiveMessageErrorDecoder();
Now, let’s see the exception with the original message:
com.baeldung.cloud.openfeign.exception.NotFoundException: Page Not found
at com.baeldung.cloud.openfeign.fileupload.config.RetreiveMessageErrorDecoder.decode(RetreiveMessageErrorDecoder.java:30) ~[classes/:na]
at feign.AsyncResponseHandler.handleResponse(AsyncResponseHandler.java:96) ~[feign-core-11.7.jar:na]
4. Conclusion
In this article, we’ve demonstrated how to customize ErrorDecoder so we can catch Feign errors to fetch the original message.
As usual, all code samples used in this tutorial are available over on GitHub.
Partner – Bellsoft – NPI EA (cat = Spring)
Just published a new writeup on how to run a standard Java/Boot
application as a Docker container, using the Liberica JDK on top of
Alpaquita Linux:
Spring Boot Application on Liberica Runtime Container.
Partner – Bellsoft – NPI EA (cat = Spring)
Looking for the ideal Linux distro for running modern Spring
apps in the cloud?
Meet Alpaquita Linux: lightweight, secure, and powerful
enough to handle heavy workloads.
This distro is specifically designed for running Java
apps. It builds upon Alpine and features significant
enhancements to excel in high-density container environments while
meeting enterprise-grade security standards.
Specifically, the container image size is ~30% smaller than
standard options, and it consumes up to 30% less RAM:
Alpaquita Containers now.
Partner – Aegik AB – NPI EA (tag = SQL)
Slow MySQL query performance is all too common. Of course
it is.
The Jet Profiler was built entirely for MySQL, so it's
fine-tuned for it and does advanced everything with relaly minimal
impact and no server changes.
out the Profiler
Partner – Codium – NPI EA (cat = Testing)
Explore the secure, reliable, and high-performance Test
Execution Cloud built for scale. Right in your IDE:
CodiumAI. Meaningful Code Tests for Busy Devs
Basically, write code that works the way you meant it to.
Partner – Machinet – NPI EA (cat = Testing)
AI is all the rage these days, but for very good reason. The
highly practical coding companion, you'll get the power of
AI-assisted coding and automated unit test generation.
Machinet's Unit Test AI Agent utilizes your own project
context to create meaningful unit tests that intelligently aligns
with the behavior of the code.
Simplify Your Coding Journey with Machinet AI:
Course – LS (cat=REST)
Get started with Spring Boot and with core Spring,
through the Learn Spring course:
Course – RWS (cat=REST !others)
