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With best-in-class guides and documentation,
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Beyond that, it provides intelligent insights and actions to
optimize Jakarta EE applications.
The goal is to apply an
opinionated approach
to get to
what's essential for mission-critical applications - really solid
scalability, availability, security, and long-term support:
We rely on other people’s code
in our own work. Every
It might be the language you’re writing in, the framework you’re
building on, or some esoteric piece of software that does one thing
so well you never found the need to implement it yourself.
The problem is, of course,
when things fall apart in
production
- debugging the implementation of a 3rd party
library you have no intimate knowledge of is, to say the least,
tricky.
Lightrun is a new kind of debugger.
It's one geared specifically towards real-life production
environments. Using Lightrun, you can drill down into running
applications, including 3rd party dependencies, with real-time
logs, snapshots, and metrics.
The AI Assistant to boost Boost your productivity writing unit
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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.
Course – LSS – NPI EA (cat=Spring Security)
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
.
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
Partner – DBSchema – NPI EA (tag = SQL)
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
Course – LSD – NPI EA (tag=Spring Data JPA)
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:
In this article, we’ll demonstrate the reason behind
NoSuchFieldError
and discover how to resolve it.
2.
NoSuchFieldError
As the name suggests,
NoSuchFieldError
occurs when a specified field doesn’t exist.
NoSuchFieldError
extends the
IncompatibleClassChangeError
class and is thrown
when the application tries to access or modify a field of an object or a static field of a class but the object or class no longer has that field
.
IncompatibleClassChangeError
class extends the
LinkageError
class and occurs when we perform incompatible class definition changes. Finally,
LinkageError
extends
Error
and shows that a class has some dependency on another incompatibly changed class.
Let’s see this error in action with the help of an example. As a first step, let’s create a
Dependency
class:
public class Dependency {
public static String message = "Hello Baeldung!!";
Then we’ll create a FieldErrorExample class that refers to a field of our Dependency class:
public class FieldErrorExample {
public static String getDependentMessage() {
return Dependency.message;
Let’s also add code to check whether we’re getting a message from the Dependency class:
public static void fetchAndPrint() {
System.out.println(getDependentMessage());
Now, we can compile these files using the javac command, and upon execution of the FieldErrorExample class using the java command, it will print the specified message.
However, if we comment out, remove, or change the attribute name in the Dependency class and recompile it, then we’ll run into our error.
For example, let’s change the attribute name in our Dependency class:
public class Dependency {
public static String msg = "Hello Baeldung!!";
Now, if we recompile only our Dependency class, and then execute FieldErrorExample again, we’ll encounter the NoSuchFieldError:
Exception in thread "main" java.lang.NoSuchFieldError: message
The above error occurred because the FieldErrorExample class still refers to the static field message of the Dependency class, but it no longer exists — we’ve made an incompatible change to the Dependency class.
3. Resolving the Error
To avoid this error, we need to clean and compile the existing files. We can do this using the javac command or with Maven by running mvn clean install. By performing this step, we’ll have all the latest compiled files, and we’ll avoid running into the error.
If the error persists, then the problem might be multiple JAR files: one while compiling, and another while running. This often happens when the application depends on external JARs. Here, we should validate the order of the JARs in the build path to identify the inconsistent JAR.
If we have to investigate further, it’s helpful to run the application with -verbose: class optionto check the loaded classes. This can help us identify the outdated class.
Sometimes a third-party JAR might be internally referring to another version, which results in NoSuchFieldError. If this happens, we can use mvn dependency:tree -Dverbose. This generates the maven dependency tree and helps us in identifying the inconsistent JAR.
4. Conclusion
In this short tutorial, we have shown why NoSuchFieldError occurs and looked at how we can resolve it.
Can Jakarta EE be used to develop microservices? The answer is a
resounding ‘yes’!
Demystifying Microservices for Jakarta EE & Java EE
Developers
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 – DBSchema – NPI EA (tag = SQL)
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.
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
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.
We rely and run a host of libraries and frameworks we didn't
implement ourselves. Captain obvious here.
The problem is, of course, when things fall apart in
production - debugging the implementation of a 3rd party
library you have no intimate knowledge of is, to say the least,
tricky.
