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A massively parallel gcov wrapper for generating intermediate coverage formats fast

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Build Status Code Coverage PyPI Version

fastcov

A parallelized gcov wrapper for generating intermediate coverage formats fast

The goal of fastcov is to generate code coverage intermediate formats as fast as possible, even for large projects with hundreds of gcda objects. The intermediate formats may then be consumed by a report generator such as lcov's genhtml, or a dedicated front end such as coveralls, codecov, etc. fastcov was originally designed to be a drop-in replacement for lcov (application coverage only, not kernel coverage).

Currently the only intermediate formats supported are gcov json format, fastcov json format, and lcov info format. Adding support for other formats should require just a few lines of python to transform fastcov json format to the desired shape.

In order to achieve the speed gains, a few constraints apply:

  1. GCC version >= 9.0.0

These versions of GCOV have support for JSON intermediate format as well as streaming report data straight to stdout. This second feature (the ability for gcov to stream report data to stdout) is critical - without it, fastcov cannot run multiple instances of gcov in parallel without loss of correctness.

If your linux distribution doesn't ship with GCC 9, the current easiest way (in my opinion) to try out fastcov is to use the fastcov docker image, which has GCC 9 compilers (gcc-9 and g++-9), Python3, and CMake inside:

docker pull rpgillespie6/fastcov:latest

If you need other dependencies, just modify the Dockerfile and rebuild.

  1. Object files must be either be built:
  • Using absolute paths for all -I flags passed to the compiler

or

  • Invoking the compiler from the same root directory

If you use CMake, you are almost certainly satisfying this second constraint (unless you care about ExternalProject coverage).

Quick Start

Assuming you have docker, fastcov is easy to use:

$ docker pull rpgillespie6/fastcov
$ docker run -it --rm -v ${PWD}:/mnt/workspace -w /mnt/workspace -u $(id -u ${USER}):$(id -g ${USER}) rpgillespie6/fastcov
$ <build project> # Make sure to compile with gcc-9 or g++-9 and to pass "-g -O0 -fprofile-arcs -ftest-coverage" to all gcc/g++ statements
$ <run unit tests>
$ fastcov.py --gcov gcov-9 --exclude /usr/include --lcov -o report.info
$ genhtml -o code_coverage report.info
$ firefox code_coverage/index.html

See the example directory for a working CMake example.

Installation

A minimum of Python 3.5 is currently required.

Fastcov is a single source python tool. That means you can simply copy fastcov.py from this repository and run it directly with no other hassle.

However, fastcov is also available as a Python3 package that can be installed via pip.

Install newest stable fastcov release from PyPI:

$ pip3 install fastcov

Or install the bleeding edge version from GitHub:

$ pip3 install git+https://github.com/rpgillespie6/fastcov.git

Filtering Options

Fastcov uses substring matching (not regex) for all of its filtering options. Furthermore, all filtering options take a list of parameters as arguments.

Here are some common filtering combinations you may find useful:

$ fastcov.py --exclude /usr/include test/ # Exclude system header files and test files from final report
$ fastcov.py --include src/ # Only include files with "src/" in its path in the final report
$ fastcov.py --source-files ../src/source1.cpp ../src/source2.cpp # Only include exactly ../src/source1.cpp and ../src/source2.cpp in the final report
$ fastcov.py --branch-coverage # Only include most useful branches (discards exceptional branches and initializer list branches)
$ fastcov.py --exceptional-branch-coverage # Include ALL branches in coverage report

It's possible to include both --include and --exclude. In this case, --exclude always takes priority. This could be used, for example, to include files that are in src/ but not in src/test/ by passing --include src/ --exclude test/.

Branch filters furthermore can stack:

$ fastcov.py --branch-coverage --include-br-lines-starting-with if else       # Only include branch coverage for lines starting with "if" or "else"
$ fastcov.py --branch-coverage --exclude-br-lines-starting-with assert ASSERT # Don't include coverage for lines starting with "assert" or "ASSERT"

It's possible to include both --include-br-lines-starting-with and --exclude-br-lines-starting-with. In this case, the branch will be removed if either the line does not start with one of --include-br-lines-starting-with or the line does start with one of --exclude-br-lines-starting-with. This could be used, for example, to include branches starting with else but not with else if by passing --include-br-lines-starting-with else --exclude-br-lines-starting-with "else if".

Benchmarks

Anecdotal testing on my own projects indicate that fastcov is over 100x faster than lcov and over 30x faster than gcovr:

Project Size: ~250 .gcda, ~500 .gcov generated by gcov

Time to process all gcda and parse all gcov:

  • fastcov: ~700ms
  • lcov: ~90s
  • gcovr: ~30s

Your mileage may vary depending on the number of cores you have available for fastcov to use!

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