![]() These blocks are the methods that are presented in the profile most. When you read the flame graph, focus on the widest blocks. To enable it, go to Settings | Build, Execution, Deployment | Java Profiler and check the Collect native calls option. Native profiling is turned off by default. The blue color of the blocks stands for native calls, while yellow stands for Java calls. Thus, the frames that account for larger share of CPU/memory usage appear to the left, regardless of when the respective samples were collected. It does not preserve the order of events. The graph only reflects the time/samples spent in a method. It may be a good idea to analyze where these exceptions come from and see if we can do anything about it. Most of the time b() is processing IndexOutOfBoundsException. In its turn a() called c().Ĭ() is mostly adding elements to an ArrayList, which could take less time if the capacity of the ArrayList was adequate – add is mostly busy growing the list. ![]() The execution time of main() was contributed to by the methods a() and b(). Methods that consume more resources are wider than the others.įor example, we can make the following observations from the flame graph above: The flame graph visualizes the application call tree with the rectangles that stand for frames of the call stack, ordered by width. Thus, you can find the most busy threads at the top of the list. The threads are listed on the left-hand side of the Profiler tool window and sorted by the number of collected samples. You can select to view merged data for the entire process ( All threads merged) or select a specific thread for closer investigation. This will take you to the place where this method is declared. ![]() If you want to review the sources in the editor, right-click it on any tab and select Jump to Source or press F4. Right-click the necessary method and select another view in which you want to open it. You can jump between the tabs while staying focused on a specific method. It is helpful for detecting unusual GC activity, multithreading issues such as livelocks, and so on Timeline – a visual representation of threads activity over time. Method list – a flat summary of all methods sorted by sample count IntelliJ IDEA provides several ways to analyze the snapshot for both CPU Samples and Memory Allocations modes:įlame graph – a convenient way to visually assess the performance of various code paths and their share in overall CPU/memory usageĬall tree – a tree that provides the data about the call hierarchy and the number of samples corresponding to each call Use the menu in the top-right corner of the tool window. The snapshot made with the IntelliJ Profiler configuration contains both CPU and allocation profiling data.
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