Skip to main content

Asynchronous parallel SSH library

Project description

Asynchronous parallel SSH client library.

Run commands via SSH over tens/hundreds/thousands+ number of servers asynchronously and with minimal system load on the client host.

Latest Version https://travis-ci.org/pkittenis/parallel-ssh.svg?branch=master https://coveralls.io/repos/pkittenis/parallel-ssh/badge.png?branch=master Latest documentation

Installation

pip install parallel-ssh

Usage Example

See documentation on read the docs for more complete examples.

Run ls on two remote hosts in parallel with sudo.

from pssh import ParallelSSHClient
hosts = ['myhost1', 'myhost2']
client = ParallelSSHClient(hosts)
output = client.run_command('ls -ltrh /tmp/', sudo=True)
print output
{'myhost1': {'exit_code': None, 'stdout': <generator>, 'stderr': <generator>, 'channel': <channel>, 'cmd' : <greenlet>, 'exception' : None},
 'myhost2': {'exit_code': None, 'stdout': <generator>, 'stderr': <generator>, 'channel': <channel>, 'cmd' : <greenlet>, 'exception' : None}}

Stdout and stderr buffers are available in output. Iterating on them can be used to get output as it becomes available. Iteration ends only when command has finished.

for host in output:
   for line in output[host]['stdout']:
       print("Host %s - output: %s" % (host, line))
Host myhost1 - output: drwxr-xr-x  6 xxx xxx 4.0K Jan  1 00:00 xxx
Host myhost1 - output: <..>
Host myhost2 - output: drwxr-xr-x  6 xxx xxx 4.0K Jan  1 00:00 xxx
Host myhost2 - output: <..>

Exit codes become available once stdout/stderr is iterated on or client.join(output) is called.

for host in output:
    print output[host]['exit_code']
0
0

Joining on the connection pool can be used to block and wait for all parallel commands to finish if output is not required.

client.pool.join()

Similarly, if only exit codes are needed but not output

output = client.run_command('exit 0')
# Block and gather exit codes. Output variable is updated in-place
client.join(output)
print output[client.hosts[0]]['exit_code']
0

There is a also host logger that can be enabled to log output from remote hosts. The helper function pssh.utils.enable_host_logger will enable host logging to stdout, for example

import pssh.utils
pssh.utils.enable_host_logger()
output = client.run_command('uname')
client.join(output)

[localhost]   Linux

Frequently asked questions

Q:

Why should I use this module and not, for example, fabric?

A:

ParallelSSH’s design goals and motivation are to provide a library for running asynchronous SSH commands in parallel with no load induced on the system by doing so with the intended usage being completely programmatic and non-interactive - Fabric provides none of these goals.

Fabric is a port of Capistrano from ruby to python. Its design goals are to provide a faithful port of capistrano with its tasks and roles to python with interactive command line being the intended usage. Its use as a library is non-standard and in many cases just plain broken.

Furthermore, its parallel commands use a combination of both threads and processes with extremely high CPU usage and system load while running. Fabric currently stands at over 6,000 lines of code, majority of which is untested, particularly if used as a library as opposed to less than 700 lines of code mostly consisting of documentation strings currently in ParallelSSH with over 80% code test coverage.

Q:

Is Windows supported?

A:

The library installs and works on Windows though not formally supported as unit tests are currently Posix system based.

Pip versions >= 8.0 are required for binary package installation of gevent on Windows, a dependency of ParallelSSH.

Though ParallelSSH is pure python code and will run on any platform that has a working Python interpreter, its gevent dependency contains native code which either needs a binary package to be provided for the platform or to be built from source. Binary packages for gevent are provided for OSX, Linux and Windows platforms as of this time of writing.

Q:

Are SSH agents used?

A:

All available keys in a system configured SSH agent in addition to SSH keys in the user’s home directory, ~/.ssh/id_dsa, ~/.ssh/id_rsa et al are automatically used by ParallelSSH.

Use of SSH agent can be disabled by creating a client as ParallelSSHClient(allow_agent=False). See documentation for more information.

Q:

Can ParallelSSH forward my SSH agent?

A:

SSH agent forwarding, what ssh -A does on the command line, is supported and enabled by default. Creating an object as ParallelSSHClient(forward_ssh_agent=False) will disable that behaviour.

Q:

Is tunneling/proxying supported?

A:

Yes, ParallelSSH natively supports tunelling through an intermediate SSH server. Connecting to a remote host is accomplished via an SSH tunnel using the SSH’s protocol direct TCP tunneling feature, using local port forwarding. This is done natively in python and tunnel connections are asynchronous like all other connections in the ParallelSSH library. For example, client -> proxy SSH server -> remote SSH destination.

Use the proxy_host and proxy_port parameters to configure your proxy.

>>> client = ParallelSSHClient(hosts, proxy_host='my_ssh_proxy_host')

Note that while connections from the ParallelSSH client to the tunnel host are asynchronous, connections from the tunnel host to the remote destination(s) may not be, depending on the SSH server implementation. If the SSH server uses threading to implement its tunelling and that server is used to tunnel to a large number of remote destinations system load on the tunnel server will increase linearly according to number of remote hosts.

Q:

Is there a way to programmatically provide an SSH key?

A:

Yes, use the pkey parameter of the ParallelSSHClient class. There is a load_private_key helper function in pssh.utils that can be used to load any supported key type. For example:

from pssh import ParallelSSHClient, utils
client_key = utils.load_private_key('user.key')
client = ParallelSSHClient(['myhost1', 'myhost2'], pkey=client_key)
Q:

Is there a user’s group for feedback and discussion about ParallelSSH?

A:

There is a public ParallelSSH Google group setup for this purpose - both posting and viewing are open to the public.

SFTP/SCP

SFTP is supported (SCP version 2) natively, no scp command required.

For example to copy a local file to remote hosts in parallel:

from pssh import ParallelSSHClient, utils
utils.enable_logger(utils.logger)
hosts = ['myhost1', 'myhost2']
client = ParallelSSHClient(hosts)
client.copy_file('../test', 'test_dir/test')
client.pool.join()

Copied local file ../test to remote destination myhost1:test_dir/test
Copied local file ../test to remote destination myhost2:test_dir/test

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

parallel-ssh-0.92.2.tar.gz (23.2 kB view details)

Uploaded Source

Built Distributions

parallel_ssh-0.92.2-py3-none-any.whl (39.8 kB view details)

Uploaded Python 3

parallel_ssh-0.92.2-py2-none-any.whl (20.7 kB view details)

Uploaded Python 2

File details

Details for the file parallel-ssh-0.92.2.tar.gz.

File metadata

File hashes

Hashes for parallel-ssh-0.92.2.tar.gz
Algorithm Hash digest
SHA256 0f3ed42e0258eac87420d4adb6da7563f54b927b10a969ac283b069d8bc12a13
MD5 5f50aef83be9183db78b73f2126bd40f
BLAKE2b-256 39c9c83bc328d397172d59b8c51e21e66ab4f6bd1b8ae4d71ec66602cfe6db62

See more details on using hashes here.

File details

Details for the file parallel_ssh-0.92.2-py3-none-any.whl.

File metadata

File hashes

Hashes for parallel_ssh-0.92.2-py3-none-any.whl
Algorithm Hash digest
SHA256 40ad5a78956f442052b27cf1bfb32d34085c199da25ce98c813c0f04f233b005
MD5 ceccc4f1e9c6941f9556ca72259368db
BLAKE2b-256 a5cc338947eacbfd2002975a54391f810df40716e781f2a18369e798b8b3ce85

See more details on using hashes here.

File details

Details for the file parallel_ssh-0.92.2-py2-none-any.whl.

File metadata

File hashes

Hashes for parallel_ssh-0.92.2-py2-none-any.whl
Algorithm Hash digest
SHA256 a4beb42f0590327e81b515aaa519d5f1bfde9f45471e4799a2b51b269853e11f
MD5 c29709d6c60f64e8ea3634c9bd75e87c
BLAKE2b-256 1111ded71b0b5fea923931888567d07ebd79303a94c60f843df45014cf303c6a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page