ClusterShell 1.7 Python Library and Tools
ClusterShell is an event-driven open source Python library, designed to run local or distant commands in parallel on server farms or on large Linux clusters. It will take care of common issues encountered on HPC clusters, such as operating on groups of nodes, running distributed commands using optimized execution algorithms, as well as gathering results and merging identical outputs, or retrieving return codes. ClusterShell takes advantage of existing remote shell facilities already installed on your systems, like SSH.
ClusterShell's primary goal is to improve the administration of high- performance clusters by providing a lightweight but scalable Python API for developers. It also provides clush, clubak and nodeset, three convenient command-line tools that allow traditional shell scripts to benefit from some of the library features.
- GNU/Linux, BSD, Mac OS X
- OpenSSH (ssh/scp) or rsh
- Python 2.x (x >= 4)
- PyYAML (optional)
ClusterShell is distributed under the GNU Lesser General Public License version
2.1 or later (LGPL v2.1+). Read the file
COPYING.LGPLv2.1 for details.
Online documentation is available here:
The Sphinx documentation source is available under the doc/sphinx directory. Type 'make' to see all available formats (you need Sphinx installed and sphinx_rtd_theme to build the documentation). For example, to generate html docs, just type:
make html BUILDDIR=/dest/path
For local library API documentation, just type:
$ pydoc ClusterShell
The following man pages are also provided:
clush(1), clubak(1), nodeset(1), clush.conl(5), groups.conf(5)
Regression testing scripts are available in the 'tests' directory:
$ cd tests $ nosetests -sv <Test.py> $ nosetests -sv --all-modules
You have to allow 'ssh localhost' and 'ssh $HOSTNAME' without any warnings for "remote" tests to run as expected. $HOSTNAME should not be 127.0.0.1 nor ::1. Also some tests use the 'bc' command.
>>> from ClusterShell.Task import task_self >>> from ClusterShell.NodeSet import NodeSet >>> task = task_self() >>> task.run("/bin/uname -r", nodes="linux[4-6,32-39]") <ClusterShell.Worker.Ssh.WorkerSsh object at 0x20a5e90> >>> for buf, key in task.iter_buffers(): ... print NodeSet.fromlist(key), buf ... linux[32-39] 220.127.116.11-0.fc15.x86_64 linux[4-6] 2.6.32-71.el6.x86_64
http://clustershell.sourceforge.net or http://cea-hpc.github.com/clustershell/
Github source respository:
Github Issue tracking system:
Sourceforge.net project page:
Python Package Index (PyPI) link:
ClusterShell was born along with Shine, a scalable Lustre FS admin tool:
- Stephane Thiell
- Aurelien Degremont
- Henri Doreau
- Dominique Martinet
CEA/DAM 2010, 2011, 2012, 2013, 2014, 2015 - http://www-hpc.cea.fr