SDKMAN! is a very useful tool to manage versions of so-called software development kits. There are a lot of SDKs supported by SDKMAN!: Java, Groovy, Kotlin, Scala, Gradle, Maven, Leiningen, Micronaut, Grails, Vert.x, JBake, AsciidoctorJ and more. When we look at Java we can use a simple install java <version> command from the command-line to install a version of Java on our computer. SDKMAN! will take care of downloading the Java version and setting all the correct system variables to use that Java version. With the use command we can switch between version in the current shell we are working in. But we can even automatically switch to a specific installed Java version when we enter a directory. This is very useful when we have to work on multiple projects on our computer and each project requires a specific Java version to be used.

To support automatic switching of a Java version we must first run the env init command in the directory of our project. This creates a new file .sdkmanrc in the directory. The file contains the Java version that was active when we invoked the env init command. It is a text file so we can change the Java version in the file, or regenerate the file by running the env init command again, but with a different active Java version.

In Java we can use the iterate method of the Stream class to create an unbounded stream based on function invocations. We pass to the iterate method an initial value and a function that can be applied to the value. The first element in the unbounded stream is the initial value, the next element is the result of the function invocation with as argument the value from the previous element and this continues for each new element. Suppose we have a function expressed as lambda expression i → i + 2. When we use this lambda expression with the iterate method and a initial value of 1 we get a stream of 1, 1 → 1 + 2, 3 → 3 + 2, …​.

As we get an unbounded stream we must for example use limit to get the values we want from the stream. But we can also use an extra argument for the iterate method that is a Predicate definition. The iterate method will provide elements as long as the result of the Predicate is true. This way we the result of the iterate method is a bounded stream.

In Java we can use the generate method of the Stream class to create an infinite stream of values. The values are coming from a Supplier instance we pass as argument to the generate method. The Supplier instance usually will be a lambda expression. To give back a fixed value we simply implement a Supplier that returns the value. We can also have different values when we use a method that returns a different value on each invocation, for example the randomUUID method of the UUID class. When we use such a method we can create the Supplier as method reference: UUID::randomUUID.

The generate method returns an unbounded stream. We must use methods like limit and takeWhile to get a bounded stream again. We must use findFirst or findAny to terminate the unbounded stream and get a value.

Since Java 9 we can use a function as argument for the Matcher.replaceAll method. The function is invoked with a single argument of type MatchResult and must return a String value. The MatchResult object contains a found match we can get using the group method. If there are capturing groups in the regular expression used for replacing a value we can use group method with the capturing group index as argument.

In the following example we use the replaceAll method and we use a regular expression without and with capturing groups:

In Java we can define capturing groups in regular expression. We can refer to these groups (if found) by the index from the group as defined in the regular expression. Instead of relying on the index of the group we can give a capturing group a name and use that name to reference the group. The format of the group name is ?<name> as first element of the group definition. The name of the group can be used with the group method of the Matcher class. Also we can use the name when we want to reference the capturing group for example with the replaceAll method of a Matcher object. The format is ${name} to reference the group by name. Finally we can use a named capturing group also as backreference in a regular expression using the syntax \k<name>.

In the following example we define a regular expression with named groups and use them with several methods:

This week at work a colleague showed a nice feature of the Pattern class in Java: we can easily turn a Pattern into a Predicate with the asPredicate and asMatchPredicate methods. The asPredicate method return a predicate for testing if the pattern can be found given string. And the asMatchPredicate return a predicate for testing if the pattern matches a given string.

In the following example code we use both methods to create predicates:

When using Springfox you can annotate your endpoints to automatically generate OpenAPI docs for your clients.
This blogpost will show how you can prevent Springfox generating a model on an endpoint with ResponseEntity as return type.
I’ll also cover how to prevent generating default responses.

Using the Stream API and the map method we can transform elements in a stream to another object. Instead of using the map method we can also write a custom Collector and transform the elements when we use the collect method as terminal operation of the stream.

First we have an example where we transform String values using the map method:

I have seen the following pattern appear quite a lot:

Here the function is called with a nullable argument, and if the argument was null, the function will return null, and if not it will return a proper value. I do not like this, and here is why.

In Java we can use a Predicate to test if something is true or false. This is especially useful when we use the filter method of the Java Stream API. We can use lambda expressions to define our Predicate or implement the Predicate interface. If we want to combine different Predicate objects we can use the or, and and negate methods of the Predicate interfaces. These are default methods of the interface and will return a new Predicate.

Let’s start with an example where we have a list of String values. We want to filter all values that start with Gr or with M. In our first implementation we use a lambda expression as Predicate and implements both tests in this expression: