Kotlin data classes and annotations go really well together, but it is easy to mess it up.

When dealing with Maps in Kotlin, sometimes we’re only interested in entries for which the value is not null. Although the Kotlin Standard Library contains a filterValues function that seems to be appropriate, this function does not do any type conversions, resulting in a Map which won’t contain null values, but is still a Map with values of a nullable type according to the compiler. There is a feature request for the JetBrains team to add this functionality, but for now it has not been implemented (yet?).

To find the maximum or minimum value for numeric values we can use the max and min function. The functions accept one or more numeric arguments and the value that is maximum or minimum is returned. If the numbers are already in a sequence we can use apply max or apply min. If the values are not numbers we can use the max-key or min-key functions. These functions take as first argument a function that returns a number. So we can get the value that has the maximum or minimum return value for the function we pass as first argument.

In the next exmaple code we use the max, min, max-key and min-key functions:

Lamda expressions were introduced in Java 8 and have been around for a while. They are in my opinion one of the better features of Java 8, allowing for a more functional approach to writing code, and thus enabling most of the java 8 features. So let’s take a closer look at lambda’s and see what they are, how to reason about them, and why they are a good addition.

Until recently I’ve found unsubscribing to be a confusing subject. Apparently, you have to unsubscribe if you want to avoid memory leaks. But NOT doing so doesn’t always result in a memory leak. So what causes these leaks and how can we avoid them?

Building Event Driven systems is great, but not all systems are Event Driven. Communication with those systems can be via HTTP and those systems may not be able to respond quickly to a request, taking up to minutes to serve a response.

Are there tools to mock such a situation to be used for testing?

In every organization and in every team, I run into one or two customs that people tell me are part of "Scrum by the book", that aren’t actually in the book.

Locally deployed clusters can be a convenient part of a modern software development cycle, reducing feedback loops and give a developer a useful representation of the live version of an app, even if it’s just a stub. Unfortunately, they have a reputation for eating up your precious resources like they’re mashed taters. Since this year working from a home office has become the norm for many developers around the world. Enter the home desktop to "share the load" with our brave little work laptop. We will form a fellowship with our loyal home desktop, to help us through this new and uncertain adventure. Keep reading to find out how we can take off and escape this "Mount Doom" scenario!

In a previous post we learned how to replace a file in an archive with Gradle. In this blog post we use Maven to achieve the same goal. With Maven we first have to extract the contents of the archive and then assemble a new archive where we use a file replacement to replace an original file from the archive. To extract the contents we use the task unzip with the maven-antrun-plugin. To create a new archive we use the maven-assembly-plugin. The destination directory of the extracted contents is the input fileset for the assembly definition together with the files we want to overwrite. The end result is a new archive with replaced files.

In the following pom.xml we configure the maven-antrun-plugin and maven-assembly-plugin:

Sometimes we might need to replace one or more files in an existing archive file. The archive file could be a zip, jar, war or other archive. Without Gradle we would unpack the archive file, copy our new file into the destination directory of the unpacked archive and archive the directory again. To achieve this with Gradle we can simply create a single task of type Zip. To get the content of the original archive we can use the project.zipTree method. We leave out the file we want to replace and define the new file as replacement. As extra safeguard we can let the tsak fail if duplicate files are in the archive, because of our replacement.

The following code shows an example of a task to replace a README file in an archive sample.zip using Groovy and Kotlin DSL. First the Groovy DSL: