From 4c1759e60a767c3dc3207b68bf9293c04e67149e Mon Sep 17 00:00:00 2001 From: Adam Sitnik Date: Tue, 3 Sep 2019 19:06:54 +0200 Subject: [PATCH] docs: profiling local CoreFX build using PerfCollect (#850) --- docs/img/perfcollect_demo.gif | Bin 0 -> 271604 bytes docs/img/perfcollect_perfview.png | Bin 0 -> 179125 bytes docs/profiling-workflow-corefx.md | 114 +++++++++++++++++++++++++++++- 3 files changed, 112 insertions(+), 2 deletions(-) create mode 100644 docs/img/perfcollect_demo.gif create mode 100644 docs/img/perfcollect_perfview.png diff --git a/docs/img/perfcollect_demo.gif b/docs/img/perfcollect_demo.gif new file mode 100644 index 0000000000000000000000000000000000000000..bbc85ecfee9d5992430be67a19f507a058007681 GIT binary patch literal 271604 zcmagFWl$VJqlUXka0mec!QI(i+}%9{3ju;#a0wDD1cGZI!GpW*vbZen?he6S!s4>r zobQ~k>i)TPpL(imeoRmI%v5(xzf-NGq9`n4?t{6Bb^`zanDqWvR3<%4COv#6z1K{7 z0|0!QE>7o4B|2vaWAMj5)BLI~RfFb}u6#<}$2aqHJUMB-ymH=K?1MnLFBz=I_ zLjaO70M;4+WeMtp|MD$>K^?%T3}BK2$jAdUWdYi60Y>ToJ6XV2K|q`sAXNg8 z%MB<|&@85#PRthlNK*M8(C%CnhE){qukLm7JWHnp&NfR+yfik)EEOmX?;8 zo?elb0!jN-lb%{uR8&^_f0UJ#Ra8_!q0pND0Q(R1^>s~kuz{-F(ekvhqNJ(c-&P7E zcB*3b>Jqn_Q`Xzkc6)PXbZT7&E0BJf#u2 zqLH-uvFO0E=FGj}EChZU-FcMMv6}|p$m!WB9Xx;x>@@YRb@t8-3=9nn4E|$yczASl zbZl&F;y=vK&oBHBi~m?zS^4u{Ha9o-_V)Jo_YV#Z4iAq`PEJow&Q4EGPtQ)z{>%CK zIRb&W{0~=G7x(wuPmilNh=r$v!N=|HyUp&)!``KXrLKd&?c4W*`;XIqAJ(s)4)31M zo{*PFy3WHXTLH4&F_z=lZ&EKsVNvtV$&%z9;_)G zPT{s3%2a_Bjb;dY9Igz)ipR61IeqgKxl1PVm6JF=4%L=U7i;CK{#LCkn=Lnh*{=@O zIgIBjv_(;?)mJRS?54{;4%b&MH@I#M{Vspawc6r?I9wfWs9tXmLc^s|Z#@6d5=P8v zGSUd$>Q7))%TjN0H|a^{b66W`g6)mx$VJm=P_XSzmFSe4j5gOD%|k4Q;a}2oC44X3 zkJd&rZjRSGLU3s{TO0pw4cN|^C|9q7O(ycyvI*MWS8p%C9M;F$T5it%fRV(ZY-eO3 z<7Te|(XYtlhnw2X^{&@&_|wBJ;%I%mU8;Krrp9kAt338UQe_o)K;FM=voaw5KL1qw2orF%aKukN<8v3Lx% zvfw0_+v;U__jYVl3}3Xes6eRkvis6RrAlv$5V?i^G`>>>Tq*|>NyrL@f)aUX5qfzM z#^@4JF;(8s+md_+tFmxE-t96~rQi$mBCRNrat<0_!zlv=`sA<7L zavHfMqKnUsHFl#WzJVTso9QknJPh`_PcJVMX+}&`#Ibyjs!c&vf0v6pntlc^yXGvd zOHhq+P{LH|DJ>L3=mG;#y*f%6x9Er9GJgcr$HCU~D$4yLYMGuHO z$0iQrTE5@Orjvan+^?bi>8nyMhd;O$_R^(sPf#tdMWvN8``ww968Pz|F!y)Dm0;

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b/docs/profiling-workflow-corefx.md @@ -24,7 +24,11 @@ - [Problems](#Problems) - [Code](#Code) - [Skids](#Skids) - +- [PerfCollect](#PerfCollect) + - [Preparing Your Machine](#Preparing-Your-Machine) + - [Preparing Repro](#Preparing-Repro) + - [Collecting a Trace](#Collecting-a-Trace) + - [Analyzing the Trace](#Analyzing-the-Trace) ## Prerequisites @@ -547,4 +551,110 @@ bool result ^= dictionary.TryGetValue(notFound, out _); The profiler shows that a lot of inclusive CPU time was spent on the `xor` operation. Obviously, it's not true and it was most probably spent in the `call` to `TryGetValue` method. It means that to fully understand the output of Hardware Event-Based Sampling profilers you also need to be familiar with assembly code. -![Skids](img/vtune_skids.png) \ No newline at end of file +![Skids](img/vtune_skids.png) + +## PerfCollect + +PerfCollect is a simple, yet very powerful script that allows for profiling .NET Core apps on Linux. It is internally leveraging LTTng and using perf. + +In contrary to `dotnet trace` it gives you native call stacks which are very useful when you need to profile native parts of CoreFX/CLR. + +It has it's own excellent [documentation](https://github.com/dotnet/coreclr/blob/master/Documentation/project-docs/linux-performance-tracing.md) (a **highly recommended read**), the goal of this doc is not to duplicate it, but rather show **how to profile local CoreFX/CLR build running on a Linux VM from a Windows developer machine**. We need two OSes because as of today only PerfView is capable of opening a `PerfCollect` trace file. + +### Preparing Your Machine + +You need to install the script, make it an executable and run as sudo with `install` parameter to install all the dependencies. + +```cmd +curl -OL https://aka.ms/perfcollect +chmod +x perfcollect +sudo ./perfcollect install +``` + +### Preparing Repro + +Before you collect a trace, you need to prepare a [Repro](#Repro). As of today, `PerfCollect` does not give you the possibility to run a standalone executable. It collects the data machine wide with explicit start and stop. The simplest way to create a repo app is to simply put the code that you want to profile inside a `while(true)` loop. + +As an example, we are going to use following app that tries to reproduce [String.StartsWith slower on Linux with some characters #40674](https://github.com/dotnet/corefx/issues/40674) + +```cs +using System.Runtime.CompilerServices; + +namespace ProfilingDocs +{ + class Program + { + static void Main() + { + Console.WriteLine("Started running. Press Ctrl+C to stop."); + + while (true) + { + Consume(string.Concat(new string('a', 512), "-").StartsWith("i")); + } + } + + [MethodImpl(MethodImplOptions.NoInlining)] + private static void Consume(in T _) { } + } +} +``` + +**Note:** You can just build the repro app on your Windows dev machine and copy the output app to your Linux VM using `scp`. + +```cmd +scp -r "C:\Users\adsitnik\source\repos\ProfilingDocs\ProfilingDocs\bin\Release\netcoreapp3.0\ProfilingDocs.dll" adsitnik@11.222.33.444:/home/adsitnik/Projects/coreclr/bin/tests/Linux.x64.Release/Tests/Core_Root/ProfilingDocs.dll +``` + +### Collecting a Trace + +To collect a trace, you need to open two terminals: + +* one for controlling tracing, referred to as [Trace] +* one for running the application, referred to as [App]. + +**[App]**: Setup the application shell - this enables tracing configuration inside of CoreCLR: + +```cmd +export COMPlus_PerfMapEnabled=1 +export COMPlus_EnableEventLog=1 +``` + +**[Trace]** Start collection: + +```cmd +sudo ./perfcollect collect slowStartsWith +``` + +**[App]**: Run the repro app using `corerun`. It's recommended to use `corerun` because it has `crossgen` required to solve native symbols in the same folder and hence native symbol solving is going to work out of the box: + +```cmd +cd /home/adsitnik/Projects/coreclr/bin/tests/Linux.x64.Release/Tests/Core_Root/ +./corerun ./ProfilingDocs.dll +``` + +**[Trace]** Wait few seconds to let PerfCollect gather some samples and stop collection by pressing `Ctrl+C` in the trace terminal: + +```cmd +^C +...STOPPED. + + +Trace saved to slowStartsWith.trace.zip +``` + +**[App]**: don't forget to stop your app by pressing `Ctrl+C` as well. + +![PerfCollect Demo](img/perfcollect_demo.gif) + +### Analyzing the Trace + +As mentioned previously, currently only PerfView is capable of opening a `PerfCollect` trace file. So to analyze the trace file you need to copy it to a Windows machine. You can do that by using `scp`. + +```cmd +scp -r adsitnik@11.222.33.444:/home/adsitnik/Projects/tracing/slowStartsWith.zip C:\traces\startsWith +``` + +Once you get it there, you need to open it with PerfView and follow the [filtering instructions](#filtering) to filter the trace and [analyze the results](#Analyzing-the-Results). + +![Sample PerfCollect trace file opened in PerfView](img/perfcollect_perfview.png) \ No newline at end of file