Thread Dumps and Project Loom (Virtual Threads) | The IntelliJ IDEA Blog

Java's introduction of virtual threads has significantly enhanced hardware utilization for parallel I/O-bound operations with minimal code changes, allowing servers to handle millions of threads compared to the few hundred they managed before. This advancement presents challenges for existing Java tooling, such as thread dump viewers and debuggers, which now must manage and display potentially millions of thread rows. Despite these challenges, tools like IntelliJ IDEA have adapted to support virtual threads, offering features like capturing and analyzing thread dumps even from remote environments, and supporting Kotlin coroutines. Netflix experienced a specific issue after transitioning to virtual threads, discovering a deadlock caused by limitations in the technology, which was later resolved. IntelliJ IDEA facilitates this process by providing comprehensive thread dump analysis, including lock information, which is invaluable for diagnosing real-world problems. As Java continues to evolve with features like structured concurrency, tools and developers must adapt to leverage these capabilities effectively.