JPAstreamer in a Nutshell
As mentioned, JPAstreamer allows JPA queries to be expressed as standard Java Streams using short and concise, type-safe declarative constructs. This makes our code shorter, less complex, and easier to read and maintain. Best of all, we can stick to using only Java code without needing to mix it with SQL/JPQL or other language constructs/DSL.
In short, we can query a database like this:
Java14: Join Database Tables With Java 14’s New Record
Java14 Records in Joins
Did you know that you can join database tables into a Java Stream with Java 14's preview record feature? Read this short article and find out how it is done using the Speedment Stream ORM. We will start with how to set up your project.
You may also like: A First Look at Records in Java 14
Setup
Download Java 14. Go to the Speedment Initializer and download your project skeleton (including pom.xml). Modify the following lines in your pom.xml file.
Java: How to Become More Productive With Hazelcast in Less Than 5 Minutes
What if you want to use a Hazelcast In-Memory Data Grid (IMDG) to speed up your database applications but you have hundreds of tables to handle? Manually coding all Java POJOs and serialization support would entail weeks of work, and when done, maintaining that domain model by hand would soon turn into a nightmare. Read this article and learn how to save time and do it in 5 minutes.
Now, there is a graceful way to manage these sorts of requirements. The Hazelcast Auto DB Integration Tool allows connection to an existing database, which can generate all these boilerplate classes automatically. We get true POJOs, serialization support, configuration, MapStore/MapLoad, ingest and more without having to write a single line of manual code. As a bonus, we get Java Stream support for Hazelcast distributed maps.