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terrelln and facebook-github-bot Move Python tests to tests/ subdirectory
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The `xar/` directory was getting cluttered, so move tests
to a subdirectory. I've left the C++ unit test in the `xar/`
directory for simplicity, since it uses relative includes.

Reviewed By: cooperlees

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README.md

XAR

CircleCI Status Code style: black Downloads

XAR lets you package many files into a single self-contained executable file. This makes it easy to distribute and install.

A .xar file is a read-only file system image which, when mounted, looks like a regular directory to user-space programs. This requires a one-time installation of a driver for this file system (SquashFS).

XAR is pronounced like "czar" (/t͡ʂar/). The 'X' in XAR is meant to be a placeholder for all other letters as at Facebook this format was originally designed to replace ZIP-based PAR (Python archives), JSAR (JavaScript archives), LAR (Lua archives), and so on.

Use Cases

There are two primary use cases for XAR files. The first is simply collecting a number of files for automatic, atomic mounting somewhere on the filesystem. Using a XAR file vastly shrinks the on-disk size of the data it holds. Compressing to below 20% of the original size is not unheard of. This can save multiple gigabytes per machine and reduce random disk IO. This is especially important on machines with flash storage.

The second use case is an extension of the first -- by making the XAR file executable and using the xarexec helper, a XAR becomes a self-contained package of executable code and its data. A popular example is Python application archives that include all Python source code files, as well as native shared libraries, configuration files, other data.

This can replace virtualenvs and PEX files with a system that is faster, has less overhead, is more compatible, and achieves better compression. The downside is that it requires a setuid helper to perform the mounting.

Advantages of XAR for Python usage

  • SquashFS looks like regular files on disk to Python. This lets it use regular imports which are better supported by CPython.

  • SquashFS looks like regular files to your application, too. You don't need to use pkg_resources or other tricks to access data files in your package.

  • SquashFS with Zstandard compression saves disk space, also compared to a ZIP file.

  • SquashFS doesn't require unpacking of .so files to a temporary location like ZIP files do.

  • SquashFS is faster to start up than unpacking a ZIP file. You only need to mount the file system once. Subsequent calls to your application will reuse the existing mount.

  • SquashFS only decompresses the pages that are used by the application, and decompressed pages are cached in the page cache.

  • SquashFS is read-only so the integrity of your application is guaranteed compared to using virtualenvs or unpacking to a temporary directory.

Benchmarks

Optimizing performance (both space and execution time) was a key design goal for XARs. We ran benchmark tests with open source tools to compare PEX, XAR, and native installs on the following metrics:

  • Size: file size, in bytes, of the executable
  • Cold start time: time taken when we have nothing mounted or extracted
  • Hot start time: time taken when we have extracted cache or mounted XAR squashfs

The PEXs are built with python3 setup.py bdist_pex --bdist-all, and the XARs are built with python3 setup.py bdist_xar --xar-compression-algorithm=zstd.

Console script Size Cold start time Hot start time
django-admin (native) 22851072 B - 0.220 s
django-admin.pex 8529089 B 1.705 s 0.772 s
django-admin.xar 5464064 B (-36%) 0.141 s (-92%) 0.122 s (-84%)
black (native) 1020928 B - 0.245 s
black.pex 677550 B 0.737 s 0.619 s
black.xar 307200 B (-55%) 0.245 s (-67%) 0.219 s (-65%)
jupyter (native) 64197120 B - 0.399 s
jupyter.pex 17315669 B 2.152 s 1.046 s
jupyter.xar 17530880 B (+1%) 0.213 s (-90%) 0.181 s (-83%)

The results show that both file size (with zstd compression) and start times improve with XARs. This is an improvement when shipping to large number of servers, especially with short-running executables, such as small data collection scripts on web servers or interactive command line tools.

Requirements

XAR requires:

  • Linux or macOS
  • Python >= 2.7.11 & >= 3.5
  • squashfs-tools to build XARs
  • squashfuse >= 0.1.102 with squashfuse_ll to run XARs

Components of XAR

bdist_xar

This is a setuptools plugin that lets you package your Python application as a .xar file. It requires squashfs-tools. Install it from PyPI to get the stable version:

pip install xar

or you can install it from this repository:

python setup.py install

After installation go to your favorite Python project with a console script and run:

python setup.py bdist_xar

The setuptools extension bdist_xar has options to configure the XAR, most importantly --interpreter sets the Python interpreter used. Run python setup.py bdist_xar --help for a full list of options.

xarexec_fuse

This is a binary written in C++ used to mount a SquashFS image. It requires squashfuse installed. Note that the current squashfuse package on Ubuntu doesn't include squashfuse_ll, so you will have to install from source.

You can build this part of the code with:

mkdir build && cd build && cmake .. && make && [sudo] make install

Examples

bdist_xar

Simply run:

python /path/to/black/setup.py bdist_xar [--xar-compression-algorithm=zstd]
/path/to/black/dist/black.xar --help

make_xar

XAR provides a simple CLI to create XARs from Python executables or directories. We can create a XAR from an existing Python executable zip file, like a PEX.

make_xar --python black.pex --output black.xar

You can also create a XAR from a directory, and tell XAR which executable to run once it starts.

> mkdir myxar
> echo -n "#\!/bin/sh\nshift\necho \$@" > myxar/echo
> chmod +x myxar/echo
> make_xar --raw myxar --raw-executable echo --output echo
> ./echo hello world
hello world

xarexec_fuse will execute the executable it is given using the XAR path as the first argument, and will forward the XARs arguments after.

Running the Circle CI tests locally

First you need to install docker (and possible docker-machine), as it is how it runs the the code. Then you need to install the circleci cli, and run

circleci build

If you change .circleci/config.yml you should validate it before committing

circleci config validate

Contributing

See the CONTRIBUTING file for how to help out.

License

XAR is BSD-licensed.

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