![]() ![]() For example, if you want to analyze the cause of UI freezes, you can leave only time intervals where freezes took place by turning UI Freeze on. The idea of interval filters is "Select all time intervals where a certain event takes place". To learn more about events, refer to the dotTrace documentation.Īpply an interval filter (UI Freeze, Incoming HTTP Requests, and Tasks) For example, to see which methods allocate memory in your application, turn on the. Selecting an event from the list of Events may be a good starting point for further analysis. Apply a filter by eventĭotTrace collects various application data: garbage collection and file operations intervals, memory allocation data, data on raised exceptions, and so on. ![]() To remove all filters at once, click Reset. The filters that are currently applied to the opened snapshot are shown on the top of the dotTrace Profiler window. For the detailed information about Timeline filters, refer to the dotTrace documentation. This allows you to perform much more complex time interval analysis: for example, you can leave only the intervals where UI freezes took place, or time intervals with blocking GC, and so on. Timeline snapshots have additional data on how the calls are distributed in time. For all topics on how to work with Call Tree, refer to the dotTrace documentation. This lets you quickly find the slowest call chains.Ĭall Tree is a counterpart of the Call Tree view in the standalone dotTrace version. You can also switch the call tree to the Flame Graph mode: each bar on the graph represents call's total time. The method node lists methods it called and metrics collected during profiling. Each method node in the tree represents a top-level method executed by a certain thread. Call TreeĬall Tree shows method execution paths. For all topics on how to work with Top Methods, refer to the dotTrace documentation. Top Methods is a counterpart of the Methods and Subsystems view it dotTrace standalone. Use Hotspots to determine the slowest methods in particular parts of the Call Tree. ![]() Hotspots shows the list of methods from all selected threads sorted by execution time. To help you perform this task, the dotTrace Profiler window offers two views: Call Tree and Hotspots. Typically, the final goal of any performance analysis is determining a particular method that causes performance issues. Thus, the next step after profiling an application and getting a performance snapshot is opening the snapshot and analyzing data. When an application runs too slowly, it can be difficult to locate a problem and understand which action to take. ![]()
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