Arrow Packaging

The content of this directory aims for automating the historically error prone process of Arrow packaging.

Packages:

• C++ and Python conda-forge packages for Linux, Mac and Windows
• Python Wheels for Linux, Mac and Windows
• C++ and GLib Linux packages for multiple distributions
• Java

Architecture

Executors

Individual jobs are executed on public CI services, currently:

• Linux: TravisCI
• Mac: TravisCI
• Windows: AppVeyor

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. A job is a git commit on a particular git branch, containing only the required configuration file to run the requested build (currently .travis.yml or appveyor.yml).

Scheduler

Crossbow.py 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.

1. Create the queue repository

2. Enable TravisCI and Appveyor integrations on it

   • turn off Travis' auto cancellation feature on branches

3. Clone the newly created, by default the scripts looks for crossbow next to arrow repository.

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

4. Create a Personal Access Token

5. Locally export the token as an environment variable:

   export CROSSBOW_GITHUB_TOKEN=<token>

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

6. Export the previously created GitHub token on both CI services:

   Use CROSSBOW_GITHUB_TOKEN encrypted environment variable. You can set them at the following URLs, where ghuser is the GitHub username and ghrepo is the GitHub repository name (typically crossbow):

   • TravisCI: https://travis-ci.org/<ghuser>/<ghrepo>/settings
   • Appveyor: https://ci.appveyor.com/project/<ghuser>/<ghrepo>/settings/environment

7. Install Python 3.6:

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

8. Install the python dependencies for the script:

   conda install -c conda-forge -y jinja2 pygit2 click ruamel.yaml setuptools_scm github3.py python-gnupg toolz jira

   # pygit2 requires libgit2: http://www.pygit2.org/install.html
   pip install jinja2 pygit2 click ruamel.yaml setuptools_scm github3.py python-gnupg toolz jira

9. Try running it:

   $ python crossbow.py --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.

   $ git clone https://github.com/kszucs/arrow
   $ git clone https://github.com/kszucs/crossbow
   
   $ cd arrow/dev/tasks
   $ python crossbow.py 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, just check out before running the script:

   git checkout ARROW-<ticket number>
   python dev/tasks/crossbow.py 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

python crossbow.py status <build id / branch name>

Download the build artifacts

python crossbow.py artifacts <build id / branch name>

Examples

The script accepts a pattern as a first argument to narrow the build scope:

Run multiple builds:

$ python crossbow.py submit debian-stretch conda-linux-py36 wheel-win-py36
Repository: https://github.com/kszucs/arrow@tasks
Commit SHA: 810a718836bb3a8cefc053055600bdcc440e6702
Version: 0.9.1.dev48+g810a7188.d20180414
Pushed branches:
 - debian-stretch
 - conda-linux-py36
 - wheel-win-py36

Just render without applying or committing the changes:

$ python crossbow.py submit --dry-run task_name

Run only conda package builds and a Linux one:

$ python crossbow.py submit -g conda centos-7

Run wheel builds:

$ python crossbow.py submit --group wheel