Repeatedly, code that works in dev breaks down in production. Java performance issues are difficult to track down or predict.
Simply put, Digma provides immediate code feedback . As an IDE plugin, it identifies issues with your code as it is currently running in test and prod.
The feedback is available from the minute you are writing
Imagine being alerted to any regression or code smell as you're running and debugging locally. Also, identifying weak spots that need attending to, based on integration testing results.
>> Enable code feedback in your IDE.
Of course, Digma is free for developers.
>> Learn all about Field Level Encryption on the client-side with MongoDB
An interesting read.
As always, the writeup is super practical and based on a simple application that can work with documents with a mix of encrypted and unencrypted fields.
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.
Learn more in this quick, 5-minute Lightrun tutorial :
Essential List of Spring Boot Annotations and Their Use Cases
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
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
Get started with Spring 5 and Spring Boot 2, through the Learn Spring course:
>> CHECK OUT THE COURSE1. Overview
In this quick tutorial, we cover the basics of validating a Java bean with the standard framework — with the standard JSR-380 framework and its specification of Jakarta Bean Validation 3.0 which builds upon the features of the Bean Validation API introduced in Java EE 7.
Validating user input is a super common requirement in most applications. And the Java Bean Validation framework has become the de facto standard for handling this kind of logic.
Further reading:
Learn how to validate domain objects in Spring Boot using Hibernate Validator, the reference implementation of the Bean Validation framework.2. JSR 380
JSR 380 is a specification of the Java API for bean validation, part of Jakarta EE and JavaSE. This ensures that the properties of a bean meet specific criteria, using annotations such as @NotNull , @Min , and @Max .
This version requires Java 17 or higher, as Spring Boot 3.x is used which brings Hibernate-Validator 8.0.0, and it also supports the new features introduced in Java 9 and above like stream and Optional improvements, modules, private interface methods and more.
For full information on the specifications, go ahead and read through the JSR 380 .
3. Dependencies
In the latest version of spring-boot-starter-validation, besides other dependencies, transitive dependency of hibernate-validator will be available.
If you want to add just the dependency for validation you can simply add the hibernate-validator in you pom.xml.
<dependency>
<groupId>org.hibernate.validator</groupId>
<artifactId>hibernate-validator</artifactId>
<version>8.0.0.Final</version>
</dependency>
A quick note: hibernate-validator is entirely separate from the persistence aspects of Hibernate. So, by adding it as a dependency, we're not adding these persistence aspects into the project.
4. Using Validation Annotations
Here, we'll take a User bean and work on adding some simple validation to it:
import jakarta.validation.constraints.AssertTrue;
import jakarta.validation.constraints.Max;
import jakarta.validation.constraints.Min;
import jakarta.validation.constraints.NotNull;
import jakarta.validation.constraints.Size;
import jakarta.validation.constraints.Email;
public class User {
@NotNull(message = "Name cannot be null")
private String name;
@AssertTrue
private boolean working;
@Size(min = 10, max = 200, message
= "About Me must be between 10 and 200 characters")
private String aboutMe;
@Min(value = 18, message = "Age should not be less than 18")
@Max(value = 150, message = "Age should not be greater than 150")
private int age;
@Email(message = "Email should be valid")
private String email;
// standard setters and getters
All of the annotations used in the example are standard JSR annotations:
@NotNull validates that the annotated property value is not null.
@AssertTrue validates that the annotated property value is true.
@Size validates that the annotated property value has a size between the attributes min and max; can be applied to String, Collection, Map, and array properties.
@Min validates that the annotated property has a value no smaller than the value attribute.
@Max validates that the annotated property has a value no larger than the value attribute.
@Email validates that the annotated property is a valid email address.
Some annotations accept additional attributes, but the message attribute is common to all of them. This is the message that will usually be rendered when the value of the respective property fails validation.
And some additional annotations that can be found in the JSR:
@NotEmpty validates that the property is not null or empty; can be applied to String, Collection, Map or Array values.
@NotBlank can be applied only to text values and validates that the property is not null or whitespace.
@Positive and @PositiveOrZero apply to numeric values and validate that they are strictly positive, or positive including 0.
@Negative and @NegativeOrZero apply to numeric values and validate that they are strictly negative, or negative including 0.
@Past and @PastOrPresent validate that a date value is in the past or the past including the present; can be applied to date types including those added in Java 8.
@Future and @FutureOrPresent validate that a date value is in the future, or in the future including the present.
The validation annotations can also be applied to elements of a collection:
List<@NotBlank String> preferences;
In this case, any value added to the preferences list will be validated.
Also, the specification supports the new Optional type in Java 8:
private LocalDate dateOfBirth;
public Optional<@Past LocalDate> getDateOfBirth() {
return Optional.of(dateOfBirth);
Here, the validation framework will automatically unwrap the LocalDate value and validate it.
5. Programmatic Validation
Some frameworks — such as Spring — have simple ways to trigger the validation process by just using annotations. This is mainly so that we don't have to interact with the programmatic validation API.
Now let's go the manual route and set things up programmatically:
ValidatorFactory factory = Validation.buildDefaultValidatorFactory();
Validator validator = factory.getValidator();
To validate a bean, we first need a Validator object, which is built using a ValidatorFactory.
5.1. Defining the Bean
We're now going to set up this invalid user — with a null name value:
User user = new User();
user.setWorking(true);
user.setAboutMe("Its all about me!");
user.setAge(50);
5.2. Validate the Bean
Now that we have a Validator, we can validate our bean by passing it to the validate method.
Any violations of the constraints defined in the User object will be returned as a Set:
Set<ConstraintViolation<User>> violations = validator.validate(user);
By iterating over the violations, we can get all the violation messages using the getMessage method:
for (ConstraintViolation<User> violation : violations) {
log.error(violation.getMessage());
In our example (ifNameIsNull_nameValidationFails), the set would contain a single ConstraintViolation with the message “Name cannot be null”.
6. Conclusion
This article focused on a simple pass through the standard Java Validation API. We showed the basics of bean validation using jakarta.validation annotations and APIs.
As usual, an implementation of the concepts in this article and all code snippets can be found over on GitHub.
Partner – AEGIK AB – NPI EA (tag = SQL)
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
Course – LS – All
Get started with Spring 5 and Spring Boot 2, through the Learn Spring course:
>> CHECK OUT THE COURSE
res – REST with Spring (eBook) (everywhere)
Learning to build your API
with Spring?
Download the E-book