Batch remote execution of Fabric operations

Batch remote execution of Fabric operations

Recently, you have to run commands on multiple machines in a cluster, such as starting or stopping services, and running scripts to collect data, so I found a framework Fabric of python. Fabric is a Python library used to simplify application deployment or system management tasks using SSH.

It provides the following functions: execute local or remote shell commands, upload/download files, and other auxiliary functions, such as prompting users to enter and abort execution.

Install
On my CentOS, run the following command to install

Yum install http://mirrors.ustc.edu.cn/Fedora/epel/6/x86_64/epel-release-6-8.noarch.rpm
Yum install fabric. noarch

Test script
Create a fabfile. py file in the current directory. fabric always uses fabfile. py as its configuration file by default. Of course, you can also use-f to specify the configuration file to be used. The content is as follows:

Def hello ():
Print ("Hello fab! ") 1
Run "fab hello" to obtain the following results:
Hello fab!

Next let's take a look at how parameters are passed

Def hello (name ):
Print 'Hello % s! '% Name

Run "fab hello: name = fab". The following result is displayed:
Hello fab!

Perform local operations
From fabric. api import *
Def test ():
Local ('CD/tmp ')
Local ('LS-l ')

Perform remote operations
From fabric. api import *
Env. hosts = ['kongxx @ host1: 22', 'kongxx @ host2: 22']
Env. password = 'letmein'
Def test ():
With ('CD/tmp '):
Run ('LS-l ')

Env. hosts defines the list of machines to be remotely executed. env. password is the password for logging on to the remote machine.

Batch remote start/stop service
The basic commands are ready for use. Let's take a look at how to implement the functions I need. As I need to start services and execute commands in batches on more than 200 machines, all these machines are configured with password-free login, so you do not need to configure env. password

Machine list file
First, prepare a machine list file, for example, write all the machine names in the/tmp/hosts file, one machine name per line, similar to the following

Host1
Host2
Host3
... 1
Fabfile. py file
From fabric. api import *
Import OS

Def set_hosts ():
F = open ('/tmp/hosts', 'R ')
Env. hosts = f. readlines ()
F. close ()

@ Parallel (pool_size = 5)
Def start ():
Print ("start service ")
Prepare_hosts ()
Run ('/etc/init. d/myservice start ')

@ Parallel (pool_size = 5)
Def stop ():
Print ("stop service ")
Prepare_hosts ()
Run ('/etc/init. d/myservice stop ')

@ Parallel (pool_size = 5)
Def status ():
Print ("check service status ")
Prepare_hosts ()
Run ('/etc/init. d/myservice status ')

Due to the large number of machines, "@ parallel (pool_size = 5)" is used to make fabric run concurrently, of course, you can also use the command line parameter to specify the concurrency mode "fab-P-z 5 ".
Run the following command to start, stop, and query statuses in batches.

Fab set_hosts start | stop | status

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