Build.md

ddprof build

We do not recommend for users to recompile the application. The pre-built binaries should be compatible with your system. Checkout the release page for our latest builds.

Environment setup

The dockerized environment will take care of installing all the dependencies.

Native linux

Install the required libraries described in the Dockerfile. Once all dependencies are installed, you can run the Build Commands section.

Docker

The Dockerfile contains all necessary dependencies to build the project. Here is a script that mounts the ddprof folder within the build container.

./tools/launch_local_build.sh

Once inside the container, you can run the Build Commands section.

Build commands

Building the native profiler

source setup_env.sh
MkBuildDir Rel
# For a release build
RelCMake ../
make -j 4 .

Running static analysis

cppcheck is run with a dedicated build target from within a build folder.

make cppcheck

Clang tidy checks require llvm 17 to be installed. Using the build image will guarantee this.

CXX=clang++-17 CC=clang-17 source ./setup_env.sh
MkBuildDir ClangDeb
    DebCMake -DENABLE_CLANG_TIDY=ON ../

Updating libdatadog

Head over to the libdatadog, do your changes and copy the library back to your vendor directory.

cp ${workdir}/libdatadog/headers/include/datadog/common.h ${workdir}/ddprof/vendor_gcc_unknown-linux-2.35_Debug/libdatadog-v2.1.0/include/datadog/common.h
cp ${workdir}/libdatadog/headers/lib/libdatadog_profiling.a ${workdir}/ddprof/vendor_gcc_unknown-linux-2.35_Debug/libdatadog-v2.1.0/lib/