docs/source/developers/continuous_integration/crossbow.rst - arrow - Git at Google

 .. Licensed to the Apache Software Foundation (ASF) under one
 .. or more contributor license agreements.  See the NOTICE file
 .. distributed with this work for additional information
 .. regarding copyright ownership.  The ASF licenses this file
 .. to you under the Apache License, Version 2.0 (the
 .. "License"); you may not use this file except in compliance
 .. with the License.  You may obtain a copy of the License at

 ..   http://www.apache.org/licenses/LICENSE-2.0

 .. Unless required by applicable law or agreed to in writing,
 .. software distributed under the License is distributed on an
 .. "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 .. KIND, either express or implied.  See the License for the
 .. specific language governing permissions and limitations
 .. under the License.

 .. highlight:: console
 .. _crossbow:

 Packaging and Testing with Crossbow
 ===================================

 The content of ``arrow/dev/tasks`` directory aims for automating the process of
 Arrow packaging and integration testing.

 Packages:
   - C++ and Python `conda-forge packages`_ for Linux, macOS and Windows
   - Python `Wheels`_ for Linux, macOS and Windows
   - C++ and GLib `Linux packages`_ for multiple distributions
   - Java for Gandiva

 Integration tests:
   - Various docker tests
   - Pandas
   - Dask
   - Turbodbc
   - HDFS
   - Spark

 Architecture
 ------------

 Executors
 ~~~~~~~~~

 Individual jobs are executed on public CI services, currently:

 - Linux: GitHub Actions, Travis CI, Azure Pipelines
 - macOS: GitHub Actions, Azure Pipelines
 - Windows: GitHub Actions, Azure Pipelines

 Queue
 ~~~~~

 Because of the nature of how the CI services work, the scheduling of
 jobs happens through an additional git repository, which acts like a job
 queue for the tasks. Anyone can host a ``queue`` repository (usually
 named ``<ghuser>/crossbow``).

 A job is a git commit on a particular git branch, containing the required
 configuration files to run the requested builds (like ``.travis.yml``,
 ``azure-pipelines.yml``, or ``crossbow.yml`` for `GitHub Actions`_ ).

 Scheduler
 ~~~~~~~~~

 Crossbow handles version generation, task rendering and
 submission. The tasks are defined in ``tasks.yml``.

 Install
 -------

 The following guide depends on GitHub, but theoretically any git
 server can be used.

 If you are not using the `ursacomputing/crossbow`_
 repository, you will need to complete the first two steps, otherwise proceed
 to step 3:

 1. `Create the queue repository`_

 2. Enable `Azure Pipelines`_ integrations for the newly created queue
    repository.

 3. Clone either `ursacomputing/crossbow`_ if you are using that, or the newly
    created repository next to the arrow repository:

    By default the scripts looks for a ``crossbow`` clone next to the ``arrow``
    directory, but this can configured through command line arguments.

    .. code:: bash

       git clone https://github.com/<user>/crossbow crossbow

    **Important note:** Crossbow only supports GitHub token based
    authentication. Although it overwrites the repository urls provided with ssh
    protocol, it's advisable to use the HTTPS repository URLs.

 4. `Create a Personal Access Token`_ with ``repo`` and ``workflow`` permissions (other
    permissions are not needed)

 5. Locally export the token as an environment variable:

    .. code:: bash

       export GH_TOKEN=<token>

    or pass as an argument to the CLI script ``--github-token``

 6. Install Python (minimum supported version is 3.10):

    | Miniconda is preferred, see installation instructions:
    | https://conda.io/docs/user-guide/install/index.html

 7. Install the archery toolset containing crossbow itself:

    .. code::

       $ pip install -e "arrow/dev/archery[crossbow]"

 8. Try running it:

    .. code::

       $ archery crossbow --help

 Usage
 -----

 The script does the following:

 1. Detects the current repository, thus supports forks. The following
    snippet will build kszucs’s fork instead of the upstream apache/arrow
    repository.

    .. code::

       $ git clone https://github.com/kszucs/arrow
       $ git clone https://github.com/kszucs/crossbow

       $ cd arrow/dev/tasks
       $ archery crossbow submit --help  # show the available options
       $ archery crossbow submit conda-win conda-linux conda-osx

 2. Gets the HEAD commit of the currently checked out branch and
    generates the version number based on `setuptools_scm`_. So to build
    a particular branch check out before running the script:

    .. code::

       $ git checkout ARROW-<ticket number>
       $ archery crossbow submit --dry-run conda-linux conda-osx

    Note that the arrow branch must be pushed beforehand, because the
    script will clone the selected branch.

 3. Reads and renders the required build configurations with the
    parameters substituted.

 4. Create a branch per task, prefixed with the job id. For example, to
    build conda recipes on linux, it will create a new branch:
    ``crossbow@build-<id>-conda-linux``.

 5. Pushes the modified branches to GitHub which triggers the builds. For
    authentication it uses GitHub OAuth tokens described in the install
    section.

 Query the build status
 ~~~~~~~~~~~~~~~~~~~~~~

 Build id (which has a corresponding branch in the queue repository) is returned
 by the ``submit`` command.

 .. code::

    $ archery crossbow status <build id / branch name>

 Download the build artifacts
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~

 .. code::

    $ archery crossbow artifacts <build id / branch name>

 Examples
 ~~~~~~~~

 Submit command accepts a list of task names and/or a list of task-group names
 to select which tasks to build.

 Run multiple builds:

 .. code::

    $ archery crossbow submit debian-stretch conda-linux-gcc-py37-r40
    Repository: https://github.com/kszucs/arrow@tasks
    Commit SHA: 810a718836bb3a8cefc053055600bdcc440e6702
    Version: 0.9.1.dev48+g810a7188.d20180414
    Pushed branches:
     - debian-stretch
     - conda-linux-gcc-py37-r40

 Just render without applying or committing the changes:

 .. code::

    $ archery crossbow submit --dry-run task_name

 Run only ``conda`` package builds and a C++ one:

 .. code::

    $ archery crossbow submit --group conda test-ubuntu-24.04-cpp

 Run ``wheel`` builds:

 .. code::

    $ archery crossbow submit --group wheel

 There are multiple task groups in the ``tasks.yml`` like docker, integration
 and cpp-python for running docker based tests.

 ``archery crossbow submit`` supports multiple options and arguments, for more
 see its help page:

 .. code::

   $ archery crossbow submit --help


 .. _conda-forge packages: conda-recipes
 .. _Wheels: python-wheels
 .. _Linux packages: linux-packages
 .. _Create the queue repository: https://docs.github.com/en/repositories/creating-and-managing-repositories/creating-a-new-repository
 .. _GitHub Actions: https://docs.github.com/en/actions/quickstart
 .. _Travis CI: https://travis-ci.com/getting-started/
 .. _Azure Pipelines: https://docs.microsoft.com/en-us/azure/devops/pipelines/get-started/pipelines-sign-up
 .. _auto cancellation: https://docs.travis-ci.com/user/customizing-the-build/#building-only-the-latest-commit
 .. _Create a Personal Access Token: https://help.github.com/articles/creating-a-personal-access-token-for-the-command-line/
 .. _setuptools_scm: https://pypi.python.org/pypi/setuptools_scm
 .. _ursacomputing/crossbow: https://github.com/ursacomputing/crossbow
	.. Licensed to the Apache Software Foundation (ASF) under one
	.. or more contributor license agreements. See the NOTICE file
	.. distributed with this work for additional information
	.. regarding copyright ownership. The ASF licenses this file
	.. to you under the Apache License, Version 2.0 (the
	.. "License"); you may not use this file except in compliance
	.. with the License. You may obtain a copy of the License at

	.. http://www.apache.org/licenses/LICENSE-2.0

	.. Unless required by applicable law or agreed to in writing,
	.. software distributed under the License is distributed on an
	.. "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
	.. KIND, either express or implied. See the License for the
	.. specific language governing permissions and limitations
	.. under the License.

	.. highlight:: console
	.. _crossbow:

	Packaging and Testing with Crossbow
	===================================

	The content of ``arrow/dev/tasks`` directory aims for automating the process of
	Arrow packaging and integration testing.

	Packages:
	- C++ and Python `conda-forge packages`_ for Linux, macOS and Windows
	- Python `Wheels`_ for Linux, macOS and Windows
	- C++ and GLib `Linux packages`_ for multiple distributions
	- Java for Gandiva

	Integration tests:
	- Various docker tests
	- Pandas
	- Dask
	- Turbodbc
	- HDFS
	- Spark

	Architecture
	------------

	Executors
	~~~~~~~~~

	Individual jobs are executed on public CI services, currently:

	- Linux: GitHub Actions, Travis CI, Azure Pipelines
	- macOS: GitHub Actions, Azure Pipelines
	- Windows: GitHub Actions, Azure Pipelines

	Queue
	~~~~~

	Because of the nature of how the CI services work, the scheduling of
	jobs happens through an additional git repository, which acts like a job
	queue for the tasks. Anyone can host a ``queue`` repository (usually
	named ``<ghuser>/crossbow``).

	A job is a git commit on a particular git branch, containing the required
	configuration files to run the requested builds (like ``.travis.yml``,
	``azure-pipelines.yml``, or ``crossbow.yml`` for `GitHub Actions`_ ).

	Scheduler
	~~~~~~~~~

	Crossbow handles version generation, task rendering and
	submission. The tasks are defined in ``tasks.yml``.

	Install
	-------

	The following guide depends on GitHub, but theoretically any git
	server can be used.

	If you are not using the `ursacomputing/crossbow`_
	repository, you will need to complete the first two steps, otherwise proceed
	to step 3:

	1. `Create the queue repository`_

	2. Enable `Azure Pipelines`_ integrations for the newly created queue
	repository.

	3. Clone either `ursacomputing/crossbow`_ if you are using that, or the newly
	created repository next to the arrow repository:

	By default the scripts looks for a ``crossbow`` clone next to the ``arrow``
	directory, but this can configured through command line arguments.

	.. code:: bash

	git clone https://github.com/<user>/crossbow crossbow

	Important note: Crossbow only supports GitHub token based
	authentication. Although it overwrites the repository urls provided with ssh
	protocol, it's advisable to use the HTTPS repository URLs.

	4. `Create a Personal Access Token`_ with ``repo`` and ``workflow`` permissions (other
	permissions are not needed)

	5. Locally export the token as an environment variable:

	.. code:: bash

	export GH_TOKEN=<token>

	or pass as an argument to the CLI script ``--github-token``

	6. Install Python (minimum supported version is 3.10):

	\| Miniconda is preferred, see installation instructions:
	\| https://conda.io/docs/user-guide/install/index.html

	7. Install the archery toolset containing crossbow itself:

	.. code::

	$ pip install -e "arrow/dev/archery[crossbow]"

	8. Try running it:

	.. code::

	$ archery crossbow --help

	Usage
	-----

	The script does the following:

	1. Detects the current repository, thus supports forks. The following
	snippet will build kszucs’s fork instead of the upstream apache/arrow
	repository.

	.. code::

	$ git clone https://github.com/kszucs/arrow
	$ git clone https://github.com/kszucs/crossbow

	$ cd arrow/dev/tasks
	$ archery crossbow submit --help # show the available options
	$ archery crossbow submit conda-win conda-linux conda-osx

	2. Gets the HEAD commit of the currently checked out branch and
	generates the version number based on `setuptools_scm`_. So to build
	a particular branch check out before running the script:

	.. code::

	$ git checkout ARROW-<ticket number>
	$ archery crossbow submit --dry-run conda-linux conda-osx

	Note that the arrow branch must be pushed beforehand, because the
	script will clone the selected branch.

	3. Reads and renders the required build configurations with the
	parameters substituted.

	4. Create a branch per task, prefixed with the job id. For example, to
	build conda recipes on linux, it will create a new branch:
	``crossbow@build-<id>-conda-linux``.

	5. Pushes the modified branches to GitHub which triggers the builds. For
	authentication it uses GitHub OAuth tokens described in the install
	section.

	Query the build status
	~~~~~~~~~~~~~~~~~~~~~~

	Build id (which has a corresponding branch in the queue repository) is returned
	by the ``submit`` command.

	.. code::

	$ archery crossbow status <build id / branch name>

	Download the build artifacts
	~~~~~~~~~~~~~~~~~~~~~~~~~~~~

	.. code::

	$ archery crossbow artifacts <build id / branch name>

	Examples
	~~~~~~~~

	Submit command accepts a list of task names and/or a list of task-group names
	to select which tasks to build.

	Run multiple builds:

	.. code::

	$ archery crossbow submit debian-stretch conda-linux-gcc-py37-r40
	Repository: https://github.com/kszucs/arrow@tasks
	Commit SHA: 810a718836bb3a8cefc053055600bdcc440e6702
	Version: 0.9.1.dev48+g810a7188.d20180414
	Pushed branches:
	- debian-stretch
	- conda-linux-gcc-py37-r40

	Just render without applying or committing the changes:

	.. code::

	$ archery crossbow submit --dry-run task_name

	Run only ``conda`` package builds and a C++ one:

	.. code::

	$ archery crossbow submit --group conda test-ubuntu-24.04-cpp

	Run ``wheel`` builds:

	.. code::

	$ archery crossbow submit --group wheel

	There are multiple task groups in the ``tasks.yml`` like docker, integration
	and cpp-python for running docker based tests.

	``archery crossbow submit`` supports multiple options and arguments, for more
	see its help page:

	.. code::

	$ archery crossbow submit --help


	.. _conda-forge packages: conda-recipes
	.. _Wheels: python-wheels
	.. _Linux packages: linux-packages
	.. _Create the queue repository: https://docs.github.com/en/repositories/creating-and-managing-repositories/creating-a-new-repository
	.. _GitHub Actions: https://docs.github.com/en/actions/quickstart
	.. _Travis CI: https://travis-ci.com/getting-started/
	.. _Azure Pipelines: https://docs.microsoft.com/en-us/azure/devops/pipelines/get-started/pipelines-sign-up
	.. _auto cancellation: https://docs.travis-ci.com/user/customizing-the-build/#building-only-the-latest-commit
	.. _Create a Personal Access Token: https://help.github.com/articles/creating-a-personal-access-token-for-the-command-line/
	.. _setuptools_scm: https://pypi.python.org/pypi/setuptools_scm
	.. _ursacomputing/crossbow: https://github.com/ursacomputing/crossbow