This browser is no longer supported.
Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support.
Download Microsoft Edge
More info about Internet Explorer and Microsoft Edge
This article applies to: ✔️
.NET Core 3.1 SDK and later versions
In this tutorial, you'll learn how to debug an excessive CPU usage scenario. Using the provided example
ASP.NET Core web app
source code repository, you can cause a deadlock intentionally. The endpoint will stop responding and experience thread accumulation. You'll learn how you can use various tools to diagnose this scenario with several key pieces of diagnostics data.
In this tutorial, you will:
Investigate high CPU usage
Determine CPU usage with
dotnet-counters
Use
dotnet-trace
for trace generation
Profile performance in PerfView
Diagnose and solve excessive CPU usage
Prerequisites
The tutorial uses:
.NET Core 3.1 SDK
or a later version.
Sample debug target
to trigger the scenario.
dotnet-trace
to list processes and generate a profile.
dotnet-counters
to monitor cpu usage.
CPU counters
Before attempting to collect diagnostics data, you need to observe a high CPU condition. Run the
sample application
using the following command from the project root directory.
dotnet run
To find the process ID, use the following command:
dotnet-trace ps
Take note of the process ID from your command output. Our process ID was 22884, but yours will be different. To check the current CPU usage, use the dotnet-counters tool command:
dotnet-counters monitor --refresh-interval 1 -p 22884
The refresh-interval is the number of seconds between the counter polling CPU values. The output should be similar to the following:
Press p to pause, r to resume, q to quit.
Status: Running
[System.Runtime]
% Time in GC since last GC (%) 0
Allocation Rate / 1 sec (B) 0
CPU Usage (%) 0
Exception Count / 1 sec 0
GC Heap Size (MB) 4
Gen 0 GC Count / 60 sec 0
Gen 0 Size (B) 0
Gen 1 GC Count / 60 sec 0
Gen 1 Size (B) 0
Gen 2 GC Count / 60 sec 0
Gen 2 Size (B) 0
LOH Size (B) 0
Monitor Lock Contention Count / 1 sec 0
Number of Active Timers 1
Number of Assemblies Loaded 140
ThreadPool Completed Work Item Count / 1 sec 3
ThreadPool Queue Length 0
ThreadPool Thread Count 7
Working Set (MB) 63
With the web app running, immediately after startup, the CPU isn't being consumed at all and is reported at 0%. Navigate to the api/diagscenario/highcpu route with 60000 as the route parameter:
https://localhost:5001/api/diagscenario/highcpu/60000
Now, rerun the dotnet-counters command. If interested in monitoring just the cpu-usage counter, add '--counters System.Runtime[cpu-usage]` to the previous command. We are unsure if the CPU is being consumed, so we will monitor the same list of counters as above to verify counter values are within expected range for our application.
dotnet-counters monitor -p 22884 --refresh-interval 1
You should see an increase in CPU usage as shown below (depending on the host machine, expect varying CPU usage):
Press p to pause, r to resume, q to quit.
Status: Running
[System.Runtime]
% Time in GC since last GC (%) 0
Allocation Rate / 1 sec (B) 0
CPU Usage (%) 25
Exception Count / 1 sec 0
GC Heap Size (MB) 4
Gen 0 GC Count / 60 sec 0
Gen 0 Size (B) 0
Gen 1 GC Count / 60 sec 0
Gen 1 Size (B) 0
Gen 2 GC Count / 60 sec 0
Gen 2 Size (B) 0
LOH Size (B) 0
Monitor Lock Contention Count / 1 sec 0
Number of Active Timers 1
Number of Assemblies Loaded 140
ThreadPool Completed Work Item Count / 1 sec 3
ThreadPool Queue Length 0
ThreadPool Thread Count 7
Working Set (MB) 63
Throughout the duration of the request, the CPU usage will hover around the increased percentage.
To visualize an even higher CPU usage, you can exercise this endpoint in multiple browser tabs simultaneously.
At this point, you can safely say the CPU is running higher than you expect. Identifying the effects of a problem is key to finding the cause. We will use the effect of high CPU consumption in addition to diagnostic tools to find the cause of the problem.
Analyze High CPU with Profiler
When analyzing an app with high CPU usage, you need a diagnostics tool that can provide insights into what the code is doing. The usual choice is a profiler, and there are different profiler options to choose from. dotnet-trace can be used on all operating systems, however, its limitations of safe-point bias and managed-only callstacks result in more general information compared to a kernel-aware profiler like 'perf' for Linux or ETW for Windows. If your performance investigation involves only managed code, generally dotnet-trace will be sufficient.
Linux
Windows
The perf tool can be used to generate .NET Core app profiles. We will demonstrate this tool, although dotnet-trace could be used as well. Exit the previous instance of the sample debug target.
Set the DOTNET_PerfMapEnabled environment variable to cause the .NET app to create a map file in the /tmp directory. This map file is used by perf to map CPU addresses to JIT-generated functions by name. For more information, see Export perf maps.
.NET 6 standardizes on the prefix DOTNET_ instead of COMPlus_ for environment variables that configure .NET run-time behavior. However, the COMPlus_ prefix will continue to work. If you're using a previous version of the .NET runtime, you should still use the COMPlus_ prefix for environment variables.
Run the sample debug target in the same terminal session.
export DOTNET_PerfMapEnabled=1
dotnet run
Exercise the high CPU API endpoint (https://localhost:5001/api/diagscenario/highcpu/60000) again. While it's running within the 1-minute request, run the perf command with your process ID:
sudo perf record -p 2266 -g
The perf command starts the performance collection process. Let it run for about 20-30 seconds, then press Ctrl+C to exit the collection process. You can use the same perf command to see the output of the trace.
sudo perf report -f
You can also generate a flame-graph by using the following commands:
git clone --depth=1 https://github.com/BrendanGregg/FlameGraph
sudo perf script | FlameGraph/stackcollapse-perf.pl | FlameGraph/flamegraph.pl > flamegraph.svg
This command generates a flamegraph.svg that you can view in the browser to investigate the performance problem:
On Windows, you can use the dotnet-trace tool as a profiler. Using the previous sample debug target, exercise the high CPU endpoint (https://localhost:5001/api/diagscenario/highcpu/60000) again. While it's running within the 1-minute request, use the collect command, with the providers option to specify the provider we want: Microsoft-DotNetCore-SampleProfiler, to collect a trace of the app as follows:
dotnet-trace collect -p 22884 --providers Microsoft-DotNETCore-SampleProfiler
Let dotnet-trace run for about 20-30 seconds, and then press the Enter to exit the collection. The result is a nettrace file located in the same folder. The nettrace files are a great way to use existing analysis tools on Windows.
Open the nettrace with PerfView by navigating to samples/core/diagnostics/DiagnosticScenarios/ and clicking on the arrow by the nettrace file. Open the 'Thread Time (with StartStop Activities) Stacks' and choose the 'CallTree' tab near the top. After checking the box to the left of one of the threads, your file should look similar to the one pictured below.
Analyzing High CPU Data with Visual Studio
All *.nettrace files can be analyzed in Visual Studio. To analyze a Linux *.nettrace file in Visual Studio, transfer the *.nettrace file, in addition to the other necessary documents, to a Windows machine, and then open the *.nettrace file in Visual Studio. For more information, see Analyze CPU Usage Data.
See also
dotnet-trace to list processes
dotnet-counters to check managed memory usage
dotnet-dump to collect and analyze a dump file
dotnet/diagnostics
Next steps
Debug a deadlock in .NET Core
