the only one I could find that was working is JProfiler, which cost money. There are several views available for the collected data. JProfiler's integration into IntelliJ IDEA Ingo Kegel 430 subscribers Subscribe 23K views 5 years ago This screencast shows the JProfiler plugin for IntelliJ IDEA. Im very pleased with IntelliJ but wonder how others profile performance of. To analyze memory allocations we need, to switch to that mode Switch between CPU and allocation data Use the menu in the top-right corner of the tool window. The produced data captures the state of all threads. By default, IntelliJ Profiler shows CPU samples data. Thread dumps - allow you to see the program state at a particular instant. This data is useful for investigating memory-related issues. Memory snapshots – allow you to analyze how memory is used at a particular instant. This may be useful for detecting hot code, opportunities for optimization, or just discovering how a program operates at runtime. This type of diagnostics gives you the resource consumption metrics over time and may be useful as a monitoring tool or, in the case of a performance problem, a starting point for further investigation.įor a hands-on example, see this tutorial.ĬPU and allocation profiling – allow you to see how CPU and memory resources were utilized during a particular period of time. They all have their own area of application:ĬPU and memory live charts – allow you to monitor a process in real time. By default, IntelliJ Profiler shows CPU samples data. IntelliJ IDEA profiler is not a single tool but rather a suite of related tools. Get a better understanding of how a program operates under the hood Identify hot spots and opportunities for optimization (not necessarily related to a performance problem)Īssess or compare the performance of different solutions Identify bugs, bottlenecks and diagnose poor performance If you are new to profiling and want to start right away, check out the available tutorials. For example the CPU profiler can collect data during arbitrarily large periods of time, like hours or even days of program operation.
Profiling can be instantaneous, like capturing a memory snapshot, or long-running. The collected data relates to various aspects of program operation, such as CPU usage, memory allocation, and interaction between the threads. Profiling is a type of runtime analysis that operates on large amounts of runtime data and gives you a birds-eye view of what is happening inside a process. Jprofiler, VisualVM, Jetty, Tomcat, Netty IntelliJ IDEA DataGrip ForgeDB.
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