If you have not yet installed the Arkouda client and prerequisites, please follow the directions in the Installation Section before proceeding with this build.
Dependencies can be configured with a package manager like Anaconda
or manually.
When utilizing a package manager, like Anaconda
, to install dependencies (see guides for Linux or Mac), you will need to provide
the path to the location of your installed packages. This is achieved by adding this path to your Makefile.paths
.
In most cases you will only provide a single path for your environment. However, if you have manually installed dependencies (such as ZeroMQ or HDF5), you will need to provide each install location.
If you are using a conda environment to manage your dependencies. All you need to do is conda activate
that
environment and run this command:
echo -e "\$(eval \$(call add-path,$CONDA_PREFIX))" >> Makefile.paths
You might need create a Makefile.paths
file in the top level of the arkouda directly if it doesn't already exist.
# Makefile.paths
# Custom Anaconda environment for Arkouda
$(eval $(call add-path,/home/user/anaconda3/envs/arkouda))
# ^ Note: No space after comma.
The path may vary based on the installation location of pip and your environment name. Here are some tips to locate the path.
# when installing via pip, run `pip show` on a package you've installed with pip
% pip show hdf5 | grep Location
Location: /opt/homebrew/Caskroom/miniforge/base/envs/arkouda/lib/python3.12/site-packages
The chpl
compiler will be executed with -I
, -L
and -rpath
for each path in your Makefile.paths
Next, the chpl
compiler's frontend Python bindings (aka chapel-py
) need to be installed. This is a Python library that gives Arkouda's build system access to the Chapel compiler's frontend, which is used to support Arkouda's command-registration annotations. The library can be installed using the following command:
(cd $CHPL_HOME && make chapel-py-venv)
This adds chapel-py
to a Python environment shipped with Chapel. When building Arkouda, that environment will be invoked temporarily to use chapel-py
. To manually build and install chapel-py
in your Python or Anaconda environment, see the instructions in the next section.
Note: if the above command fails (potentially due to a stale virtual environment), try running make clobber
from $CHPL_HOME/third-party/chpl-venv
, and then rerun the above command.
Please Note: This step is to only be performed if you are NOT using dependencies from a conda/pip env. If you attempt to use both, it is possible that version mismatches will cause build failures.
This step only needs to be done once. Once dependencies are installed, you will not need to run again. You can install all dependencies with a single command or install individually for a customized build.
Before installing, ensure the Makefile.paths
is empty.
- ZMQ
- HDF5
- Arrow
- iconv
- idn2
make install-deps
# Install ZMQ Only
make install-zmq
# Install HDF5 Only
make install-hdf5
# Install Arrow Only
make install-arrow
# Install iconv Only
make install-iconv
# Install idn2 Only
make install-idn2
You should be able to install arrow without issue, but in some instances the install will not complete using the Chapel dependencies. If that occurs, install the following packages.
# using conda to install
conda install boost-cpp snappy thrift-cpp re2 utf8proc
# using pip
pip install boost snappy thrift re2 utf8proc
Alternatively you can build a distributable package:
# We'll use a virtual environment to build
python -m venv build-client-env
source build-client-env/bin/activate
python -m pip install --upgrade pip build wheel versioneer
python setup.py clean --all
python -m build
# Clean up our virtual env
deactivate
rm -rf build-client-env
# You should now have 2 files in the dist/ directory which can be installed via pip
pip install dist/arkouda*.whl
# or
pip install dist/arkouda*.tar.gz
To manually install chapel-py
, navigate to $CHPL_HOME/tools/chapel-py/
, and:
pip install -e .
Run the make
command to build the arkouda_server
executable.
make
Note: This step can require a large amount of RAM, especially when building with multi-locale enabled. If you are running in wsl or a container and your build fails, consider increasing the memory allocation.
The Arkouda documentation is here. This section is only necessary if you're updating the documentation.
(click to see more)
First ensure that all Python doc dependencies including sphinx and sphinx extensions have been installed as detailed above.
Important: if Chapel was built locally, you will first need to make chpldoc
to build the server docs
The commands to install chpldoc
are:
cd $CHPL_HOME
make chpldoc
Now that all doc generation dependencies for both Python and Chapel have been installed, there are three make targets for generating docs:
# make doc-python generates the Python docs only
make doc-python
# make doc-server generates the Chapel docs only
make doc-server
# make doc generates both Python and Chapel documentation
make doc
The Python docs are written out to the arkouda/docs
directory while the Chapel docs are exported to the arkouda/docs/server
directory.
arkouda/docs/ # Python frontend documentation
arkouda/docs/server # Chapel backend server documentation
To view the Arkouda documentation locally, type the following url into the browser of choice:
file:///path/to/arkouda/docs/index.html
, substituting the appropriate path for the Arkouda directory configuration.
The make doc
target detailed above prepares the Arkouda Python and Chapel docs for hosting both locally and on ghpages.
There are three easy steps to hosting Arkouda docs on Github Pages. First, the Arkouda docs generated via make doc
are pushed to the Arkouda or Arkouda fork master branch. Next, navigate to the Github project home and click the
"Settings" tab. Finally, scroll down to the Github Pages section and select the "master branch docs/ folder" source
option. The Github Pages docs url will be displayed once the source option is selected. Click on the link and the
Arkouda documentation homepage will be displayed.
For information on Arkouda's modular building feature, see MODULAR.md.