![]() If you want to find out from where in the code the objects are being allocated, select the Record allocations stack traces option. Tracking each 10th object (the default) is typically enough to see the allocation trends and/or monitor the Generations count. ![]() The profiling overhead is always significant when profiling memory, but can be reduced a bit by not tracking each object's allocation. The Profile object allocations mode can be used to see live instances and their trends. The Profile object allocations and GC mode is useful for uncovering slow memory leaks as it provides the Generations count (see the What Do The Surviving Generations Metrics Mean? article for details). When custom starting points are defined, the Profile new Runnables option should typically be unchecked.įor Memory profiling, you can continue with the defaults. The more concrete starting point and restrictive Profile only/Do not profile filter you define, the lower is the profiling overhead. To get a reasonable profiling data, you should define custom starting point like org.mypackage.** or a more specific .* or 圜lass. Note that the profiling overhead will be significant in this case. At least you should clear the text field, which will setup the profiler to start profiling from the application's main method and will also profile each new Thread and/or Runnable. See the tooltip for a hint on the required format. See the Profiling With VisualVM, Part 2 article for detailed information on the profiling settings.įor CPU profiling, you have to define the profiling starting point(s). ![]() Choose whether you want to profile performance or memory of the application and define the desired settings. The second step defines profiling settings used for the session. ![]()
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