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README

 -----------------------------------------
 ClusterShell 1.5 Python Library and Tools
 -----------------------------------------

ClusterShell is an event-based python library to execute commands on local or
distant cluster nodes in parallel depending on the selected engine and worker
mechanisms. Also, clush, clubak and nodeset, three convenient command-line
tools using the library are included.

 ---------------------
 Requirements (v1.5)
 ---------------------

 * GNU/Linux, *BSD, Mac OS X, etc.

 * OpenSSH (ssh/scp)

 * Python 2.x (x >= 4)

 ------------------------
 Supported Engine workers
 ------------------------

 Two workers are supported:

 * Ssh (default, requires ssh): support writes, fanout and reliable timeouts

 * Pdsh (optional, requires pdsh): read only, fanout, no reliable timeouts
    Get pdsh @ https://computing.llnl.gov/linux/pdsh.html

 Why the pdsh worker doesn't have "reliable timeout" support: when a timeout
 value is used, pdsh shows no difference between a process returning rc=0 and
 a process that timed out. It works for processes returning rc!=0 because pdsh
 displays the return code. That's why it is now recommended to use the Ssh
 worker when you want reliable timeout support.

 ------------------------
 Installation from source
 ------------------------

When possible, please use the RPM/deb distribution.

Otherwise in the source directory, use:

    # python setup.py install

For installation on Mac OS X, please see:

    http://sourceforge.net/apps/trac/clustershell/wiki/ClusterShellOnMacOSX

 ----------
 Test Suite
 ----------

Regression testing scripts are available in the 'tests' directory:

    $ cd tests
    $ ./run_testsuite.py -vv

 --------------
 Documentation
 -------------

Local API documentation is available, just type:

    $ pydoc ClusterShell

Online API documentation (epydoc) is available here:

    http://clustershell.sourceforge.net/csdoc

 --------------------------
 ClusterShell interactively
 --------------------------

Python 2.4.3 (#1, May 24 2008, 13:57:05) 
[GCC 4.1.2 20070626 (Red Hat 4.1.2-14)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from ClusterShell.Task import task_self
>>> from ClusterShell.NodeSet import NodeSet
>>> task = task_self()
>>> task.shell("/bin/uname -r", nodes="linux[4-6,32-39]")
>>> task.resume()
>>> for buf, key in task.iter_buffers():
...     print NodeSet.fromlist(key), buf
... 
linux[32-39] 2.6.18-92.1.13.el5

linux[4-6] 2.6.18-53.1.13.el5.l47

 ------------------
 ClusterShell Tools
 ------------------

Powerful tools are provided: clush, nodeset and clubak.

* clush is a friendly and full-featured parallel shell (see: man clush).
  If in doubt, just check if your other parallel tools can do things like:
  # tar -czf - dir | clush -w node[10-44] tar -C /tmp -xzvf -

* nodeset is used to deal with your cluster nodeset, it can be bound to
  external groups (see: man nodeset and man groups.conf).

* clubak is a tool used to format output from clush/pdsh-like output
  (already included in clush with -b), see man clubak.

 -----
 Links
 -----

Main web site:

    http://clustershell.sourceforge.net

Sourceforge.net project page:

    http://sourceforge.net/projects/clustershell

Trac wiki and issue tracking system:

    https://sourceforge.net/apps/trac/clustershell

Python Package Index (PyPI) link:

    http://pypi.python.org/pypi/ClusterShell

ClusterShell was first created for Shine, the Lustre Administration Utility:

    http://lustre-shine.sourceforge.net

 -------
 Authors
 -------

Stephane Thiell           <stephane.thiell@cea.fr>
Aurelien Degremont     <aurelien.degremont@cea.fr>

CEA/DAM 2010, 2011 - http://www-hpc.cea.fr
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