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Flame Graphs

File copied and updated from this closed PR, with some fixes: bitcoin/bitcoin#12649

See also: bitcoin/bitcoin#14519

Flame graphs are a way of visualizing software CPU and heap profiles. Any tool that can create stack data in the correct format can be used to generate a flame graph. The flame graphs themselves are SVG files that have a small amount of embedded JavaScript that provide mouseover events and some functions for zooming and filtering. They can also be viewed in regular image viewers or browsers that have JavaScript enabled.

TODO: Try to get this hosted on bitcoincore.org, see this PR.

Example (interactive SVG):

Example Flamegraph

You can learn more about flame graphs on Brendan Gregg's site.

Interpreting Flame Graphs

Height on the flame graph represents different stack traces, and width represents number of samples (i.e. percentage of total time). Tall sections are for deep stacks, and wide sections represent parts of the programming take a lot of time.

The flame graph is color coded according to certain heuristics:

  • Red frames are attributed to libc or system libraries
  • Yellow frames are attributed to third party C++ libraries
  • Green frames are attributed to Bitcoin source files
  • Blue frames are attributed to the Linux kernel

Installing The Flame Graph Scripts

The upstream GitHub repo for flame graphs can be found at github.com/brendangregg/FlameGraph. To run the scripts you'll need Perl installed on your computer.

There is a small optional patch in the Bitcoin repository at contrib/devtools/flamegraph.patch. You can apply this patch against the upstream FlameGraph v1.0 tag to generate flame graphs that are color coded for Bitcoin. You can apply the patch using a command like:

# Assuming you're at the top directory in the FlameGraph repo.
$ patch -p1 <path/to/contrib/devtools/flamegraph.patch

Generating Flame Graphs On Linux

The Linux kernel project maintains a command called perf that provides a high level interface to the perf_event_open(2) system call. Perf lets you generate accurate CPU profiles of kernel events and userspace applications with relatively low overhead. This is the recommended way to generate flame graphs on Linux, as it is lower overhead than other options and allows generating profiles that can inspect kernel time.

For more information about perf:

Setting Up Perf

Perf is available on most Linux distros in a package named perf or some variant thereof:

# Install perf on Debian.
sudo apt-get install linux-perf

# Install perf on Fedora.
sudo dnf install perf

To generate flame graphs with labeled function names you'll need a build of Bitcoin that has debugging symbols enabled (this should be the case by default).

On Linux you can check that your executable has debugging symbols by grepping for a .debug_str section in the ELF file:, e.g.

# If this produces output your binary has debugging symbols.
$ readelf -S src/bitcoind | grep .debug_str

On macOS, use greadelf instead of readelf, which can be installed with brew install binutils.

Generating A Profile

To profile a running bitcoind process for 60 seconds you can use the following command:

# Profile bitcoind for 60 seconds (replace PID).
perf record -g --call-graph dwarf -F 101 -p PID -- sleep 60

You should replace PID with the process ID of bitcoind (on most Linux systems you can get this with pidof bitcoind). The options -g and --call-graph dwarf are required to get stack traces. The -F flag sets the sampling frequency; changing this is not strictly necessary, but the default sample rate is very high and may be unsuitable for running for long periods of time. The perf record command has many other options, for more details see perf-record(1).

After running this command you'll have a perf.data in the current working directory. Assuming that you have the perl scripts from the FlameGraph repository in your $PATH you could generate a flame graph like so:

# Create a flame graph named "bitcoin.svg"
$ perf script | stackcollapse-perf.pl --all | flamegraph.pl --color bitcoin > bitcoin.svg

The flags given above for stackcollapse-perf.pl and flamegraph.pl assume you've applied the patch mentioned earlier for generating Bitcoin-specific color coded flame graphs. They are not necessary unless you want color coded output.

The perf record command samples all threads in the target process. Often this is not what you want, and you may want instead to generate a profile of a single thread. This can be achieved by using grep to filter the output of stackcollapse-perf.pl before it passes to flamegraph.pl. For instance, to generate a profile of just the Bitcoin loadblk thread you might use an invocation like:

# Create a flame graph of just the loadblk thread.
$ {
  perf script |
  stackcollapse-perf.pl --all |
  grep loadblk |
  flamegraph.pl --color bitcoin
} > loadblk.svg

You can get creative with how you use grep (or any other tool) to exclude or include various parts of the collapsed stack data. The data format expected by flamegraph.pl is very simple and can be manipulated in other interesting ways (e.g. to collapse adjacent stack frames by class or file). See the upstream FlameGraph repository for more examples.

Enabling Kernel Annotations

If you want kernel annotations (optional) then you should set the kernel.perf_event_paranoid sysctl option is set to -1 before running perf record. To set this option:

# Optional, enable kernel annotations.
sudo sysctl kernel.perf_event_paranoid=-1

You will also need kernel debug symbols:

# Install kernel debug symbols on Debian.
sudo apt-get install linux-image-`uname -r`-dbg

# Install kernel debug symbols on Fedora.
sudo dnf debuginfo-install kernel

Generating Flame Graphs On macOS and Windows

The FlameGraph repository has scripts for processing the output of a large number of other profiling tools.

macOS: Follow the upstream instructions for generating flame graphs using DTrace. There's also a guide for generating flame graphs using XCode Instruments.

Windows: The FlameGraph repository has a script named stackcollapse-vsprof.pl that can process Visual Studio profiler output.