The latest version of this document is available at https://android.googlesource.com/platform/ndk/+/master/docs/Building.md.
Both Linux and Windows NDKs are built on Linux machines. Windows host binaries are cross-compiled with MinGW.
Building the NDK for Mac OS X requires at least 10.13.
The first thing you need is the AOSP NDK repository. If you‘re new to using repo and gerrit, see repo.md for tips. If you’re already familiar with how to use repo and gerrit from other Android projects, you already know plenty :)
Check out the branch master-ndk. Do this in a new directory.
# For non-Googlers: repo init -u https://android.googlesource.com/platform/manifest -b master-ndk --partial-clone # Googlers, follow http://go/repo-init/master-ndk (select AOSP in the Host menu, # and uncheck the box for the git superproject). At time of writing, the correct # invocation is: repo init -u \ sso://android.git.corp.google.com/platform/manifest -b master-ndk --partial-clone
If you wish to rebuild a given release of the NDK, the release branches can also be checked out. They're named ndk-release-r${RELEASE} for newer releases, but ndk-r{RELEASE}-release for older releases. For example, to check out the r19 release branch, use the -b ndk-release-r19 flag instad of -b master-ndk.
Linux dependencies are listed in the Dockerfile. You can use docker to build the NDK:
docker build -t ndk-dev infra/docker docker run -it -u $UID -v `realpath ..`:/src -w /src/ndk ndk-dev ./checkbuild.py
Building on Mac OS X has similar dependencies as Linux, but also requires Xcode.
Running tests requires that adb is in your PATH. This is provided as part of the Android SDK.
To set up your environment to use the correct versions of Python and Python packages, install Poetry and then do the following.
Whenever you set up a new NDK tree (after a fresh repo init, for example), configure the project to use our prebuilt Python instead of your system's. If on Mac, be sure to use the darwin-x86 version instead.
poetry env use ../prebuilts/python/linux-x86/bin/python3
The first time, and also anytime you sync because there might be new or updated dependencies, install the NDK dependencies to the virtualenv managed by poetry.
poetry install
Note: If poetry install hangs on Linux, try PYTHON_KEYRING_BACKEND=keyring.backends.null.Keyring poetry install.
Spawn a new shell using the virtualenv that Poetry created. You could instead run NDK commands with the poetry run prefix (e.g. poetry run ./checkbuild.py), but it‘s simpler to just spawn a new shell. Plus, if it’s in your environment your editor can use it.
poetry shell
On macOS you may not be able to use the Python that is in prebuilts because it does not support the ssl module (which poetry itself needs). Until the Python prebuilt includes that module, do the following to use a different Python:
First time setup: ensure that you have pyenv installed. You may need to install homebrew (http://go/homebrew for Googlers, else https://brew.sh/).
$ brew update && brew upgrade pyenv
Then set up your tree to use the correct version of Python. This setting will apply to the directory it is run in, so you will need to do it per NDK tree.
# From the //ndk directory of your NDK tree: $ ../prebuilts/python/darwin-x86/bin/python3 --version Python 3.10.3 # We don't need to match the version exactly, just the major/minor version. $ pyenv install 3.10:latest $ pyenv versions # pyenv will list the available Python versions. Use the latest version that # matches the prebuilt. In my case that's 3.10.6. $ pyenv local 3.10.6 $ python --version Python 3.10.6 $ poetry env use 3.10 poetry install
Each time the NDK updates to a new version of Python, you'll need to repeat those steps. You may also need to remove the old poetry environment (poetry env list to get the name, poetry env remove to remove it).
checkbuild.py and run_tests.py will complain when you try to use a Python that doesn't come from prebuilts by default. To suppress that, pass --permissive-python-environment when using those tools in this environment.
$ python checkbuild.py
If you get an error like the following:
Expected python to be $NDK_SRC/prebuilts/python/$HOST/bin/python3.9, but is ~/.cache/pypoetry/virtualenvs/$VENV/bin/python (/usr/bin/python3.9).
Your Poetry virualenv was misconfigured. It seems that poetry env use will not replace an existing virtualenv of the same major/minor version, so if you ran any poetry commands before poetry env use, your environment needs to be deleted and recreated.
$ poetry env remove $VENV $ poetry env use ../prebuilts/python/linux-x86/bin/python3 $ poetry install
If you get an error like the following:
Expected python to be $NDK_SRC/prebuilts/python/linux-x86/bin/python3.9, but is /usr/bin/python (/usr/bin/python3.9).
You ran checkbuild.py outside the poetry environment. Ensure that you've done the first time setup (poetry env use and poetry install, as above), then either run poetry shell to enter a new shell with the correct environment, or use poetry run checkbuild.py.
If you get errors from the pythonlint task but it appears to only affect your machine, one of the linters you have installed is probably not the correct version. Run poetry install to sync your environment with the expected versions.
$ python checkbuild.py --system windows64
checkbuild.py will also build all of the NDK tests. This takes about 3x as long as building the NDK itself, so pass --no-build-tests to skip building the tests if you're iterating on build behavior or plan to rebuild only specific tests. Tests can be built later with python run_tests.py --rebuild.
Note: The NDK's build and test scripts are implemented in Python 3 (currently 3.9). checkbuild.py will use a prebuilt Python, but run_tests.py does not do this yet. run_tests.py also can be run outside of a complete development environment (as it is when it is run on Windows), so a Python 3.9 virtualenv is recommended.
Packaging uses zip -9 so is extremely time consuming and disabled by default. Use the --package flag to force packaging locally. This is not required for local development and only needs to be used when testing packaging behavior.