Collecting and analyzing memory dumps

Sourabh Shirhatti [MSFT]

Building upon the diagnostics improvements introduced in .NET Core 3.1, we’ve introduced a new tool for collecting heap dumps from a running .NET Core process.

In a previous blog post we introduced, dotnet-dump, a tool to allow you to capture and analyze process dumps. Since then, we’ve been hard at work to improve the experience when working with dumps.

Two of the key improvements we’ve made to dotnet-dump are:

  • We no longer require sudo for collecting dumps on Linux
  • dotnet dump analyze is now a supported on Windows

GC dumps

However, one of the key limitations that remains is process dumps are not portable. It is not possible to diagnose dumps collected on Linux with Windows and vice-versa.

Many common scenarios don’t require a full process dump inspection. To enable these scenarios, we’ve introduced a new lightweight mechanism for collecting a dump that is portable. By triggering a garbage collection in the target process, we are able to stream events emitted by the garbage collector via the Existing EventPipe mechanism to regenerate a graph of object roots from those events.

These GC dumps are useful for several scenarios including:

  • Comparing number of objects by type on the heap
  • Analyzing object roots
  • Finding what objects have a reference to what type
  • Other statistical analysis about objects on the heap

dotnet-gcdump

In .NET Core 3.1, we’re introducing a new tool that allows you to capture the aforementioned process dumps for analysis in PerfView and Visual Studio.

You can install this .NET global tool by running the following command:

dotnet tool install --global dotnet-gcdump

Once you’ve installed dotnet gcdump, you can capture a GC dump by running the following command:

dotnet gcdump collect -p <target-process-PID>

Note: Collecting a gcdump triggers a full Gen 2 garbage collection in the target process and can change the performance characteristics of your application. The duration of the GC pause experienced by the applicaiton is proportional to the size of the GC heap; applications with larger heaps will experience longer pauses.

The resulting .gcdump file can be analyzed in Visual Studio and PerfView on Windows.

Analyzing GC dumps in Visual Studio

The collected GC dumps can be analyzed by opening the .gcdump files in Visual Studio. Upon opening in Visual Studio, you are greeted with the Memory Analysis Report page.

Memory analysis report in Visual Studio 2019

The top pane shows the count and size of the types in the snapshot, including the size of all objects that are referenced by the type (Inclusive Size).

In the bottom pane, the Paths to Root tree displays the objects that reference the type selected in the upper pane. The Referenced Types tree displays the references that are held by the type selected in the upper pane.

In addition to the memory analysis report of just a single GC dump, Visual Studio also allows you to compare two gc dumps. To view details of the difference between the current snapshot and the previous snapshot, navigate to the Compare To section of the report and select another GC dump to serve as the baseline.

Memory analysis comparison in Visual Studio 2019

Closing

Thanks for trying out the new diagnostics tools in .NET Core 3.1. Please continue to give us feedback, either in the comments or on GitHub. We are listening carefully and will continue to make changes based on your feedback.

6 comments

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  • Ismail Demir 1

    Thank you very much!

    Will there be any improvements of tracking unmanaged memory?

  • Kirsan 0

    And how can I collect a crash dump (on windows) with new tools? In previous blog post was several words about crash dumps, but not explained about how to automatically collect them (with your new tools).

  • Onur Gümüş 0

    I am just curious how to use this on production as dotnet tools requires dotnet sdk which we usually don’t install on production servers.

  • Tanguy Fautré 0

    Note: Collecting a gcdump triggers a full Gen 2 garbage collection in the target process

    Why? You should make that optional on the command line. It is very useful to compare the heap content before and after collection. It allows one to get a sense of what is creating garbage in the first place. I have found this to be crucial in optimising memory usage of C# apps in the past.

    • Onur Gümüş 0

      The only way I know to achieve what you want is to collect a dump and open with windbg.

  • Aleksander Kovač 1

    Good diagnostic features are a very important aspect of any framework, so this update is an important milestone for .NET Core in general, making it better suited for enterprise applications.

    My experience with building enterprise applications (say an application with thousands of classes, SOLID principles, integrated with complex and varied back-end) will sooner or later require some sort of advanced diagnostics on a live server in production, be that tracing, deadlock diagnostics or out of memory errors.

    So when considering which framework to use, e.g. .NET Core or Java, one has to consider the troubleshooting aspect as a priority, and half baked solutions certainly don’t cut it here (don’t even think about connecting with debugger to a live prod server used by e.g. 20 concurrent users). So besides Java there wasn’t much choice, but with this update, this may finally change.

    The following documents showcase how deep the diagnostic features should go to really cut it with enterprise applications, and may be useful for planning the development budget for diagnostic tools – the investment in which will definitively pay out in the long run:

    https://www.ibm.com/support/pages/ibm-thread-and-monitor-dump-analyzer-java-tmda
    https://www-01.ibm.com/support/docview.wss?uid=swg27013824&aid=1
    https://www.ibm.com/support/pages/using-ibm-pattern-modeling-and-analysis-tool-java-garbage-collector-analyze-ibm-business-process-manager-jvm-memory-usage-and-garbage-collections
    https://www.ibm.com/support/pages/using-ibm-support-assistant-isa-memory-analyzer-tool-mat-identify-name-application-causing-memory-leak

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