Social logins using Oauth2 have become a industry standard. It has revolutionized the way sites share data and has allowed users to quickly access new applications without having to create a new set of credentials. This article gives an example of why OAuth2 was invented and provides a working example of a Spring Security 5 application integrated with Google.
Why should one care about new JDK releases? As most Java developers are acutely aware, most of the industry is still dominated by JDK 8, so the likelihood of being able to use these new features in the near feature is probably low. However, as the industry gradually shifts from JDK 8 to the latest LTS release and becomes more accustomed to the new, 6-month release cadence, we should start seeing faster adoption rates of new releases.
As a result, the need to continually sharpen your sword and stay up to date will increase. Also, if you are wanting to help kickstart the shift beyond JDK 8 in your projects, knowing what value later versions bring and being able to incorporate them into your proposal can be extremely helpful in making your goal of using a newer version a reality. Besides those two reasons, it is also just plain exciting to see what the latest and greatest is and where the language is heading.
So without further ado, let’s take a look at three of the more significant enhancements that come with JDK 14: Records, NullPointExceptions, and instanceof. If you like, you can check out the full list here. We’ll also briefly discuss JDK 15 and its promised JEPs.
Some of us take for granted the newer features in Java, but, being a software consultant, I get to be involved in projects that are sometimes constrained to older versions of Java. The features from Java 1.8 that I have enjoyed for a few years are brand new to others.
I wrote this blog as a primer for those who are just getting started using java.util.Stream classes, or for those who haven’t had a chance to take a look at them until now. The quick topics below represent just a sampling of some of the ways to be more productive using java stream classes. Rather than providing a tutorial on how the classes are used, I’ll attempt to explain by example.
In this blog, we’ll present a simple arithmetic expression parser implemented through an Antlr4 parser generator. It will be able to take in an input string (such as 2+4+-4+-2*10%9*7) to produce the result (-12.0).
You may be thinking, “Great, but what’s the point?” Well, to answer your question, as simple as this example may seem, the principles involved actually extend to use cases such as DSLs, transpilation, and anything else expressible by grammar rules.
This post has two parts. In part 1, we’ll discuss the background components of a parser. In part 2, we’ll cover building the demo and running it. If you already understand grammar parsing, you could skip part one.
The last few years have seen a lot of movement to bring applications that don’t require manual intervention from the mainframe to Unix, Linux, Windows servers, or even to the desktop. This concept is commonly known as batch programming, and Spring Batch has been the tool many of us are using to accomplish this. Another trend that is gaining steam is to move from an internally-hosted server to a cloud-hosted system.
In this post, we discuss multiple ways for transferring Spring Batch applications up to the AWS Cloud, including EC2, Docker, Lambda, and others. I concentrate on AWS in this post, but, from my experience in Google Cloud, the same ideas will apply…
