Spring Boot is increasingly favored in the Java ecosystem. This post compares virtual threads' performance against native threads in a Spring Boot application calculating the Fibonacci sum for 10,000 using a REST endpoint. Load testing with JMeter reveals slight throughput differences, highlighting virtual threads' efficiency in resource consumption despite minimal performance benefits in CPU-intensive tasks.
This article discusses the significance of Virtual Threads in Java, introduced in Java 21, emphasizing their potential to enhance application performance while minimizing management overhead. It compares the behavior of One Million platform threads versus virtual threads, highlighting the reduced resource consumption and lower likelihood of OutOfMemoryError with virtual threads, showcasing their scalability benefits.
Java virtual threads, introduced in JDK 19, enhance application performance but have pitfalls. Avoid synchronized methods, as they prevent relinquishing OS thread control, suggesting ReentrantLock instead. Also, replace thread pools with Semaphore for limited backend calls and be cautious with ThreadLocal variables to prevent excessive memory usage when using many virtual threads.