Gearman installation startup and Python API usages _python

This article describes the installation of Gearman and Python API usage examples, for Web site building and server maintenance is very useful!

First, overview:

Gearman is a very good task distribution framework that can be used for distributed computing. The installation of specific Gearmand services and the installation of Gearman Python modules as well as a simple example are as follows:

Operating system: Rnel 5.7

1. First, we need to install Gearmand, in CentOS and rhel environments, we simply run the following command:

Yum Install Gearmand-y

Note: If you do not want to install the Gearmand through the Yum Way, you can compile the installation by source code, the specific installation method can refer to: http://www.jb51.net/article/51999.htm

After the installation is complete, you can start the Gearmand service:

Gearmand-p 4730-l 10.22.10.90--log-file=/tmp/gearmand-4730.log--pid-file=/tmp/gearmand-4730.pid-d

2. Install Python-gearman

Gearman python module, download address: https://pypi.python.org/pypi/gearman/2.0.2

We can use the following command to install (two commands are available, two choose one):

Easy_install Gearman

Pip Install Gearman

Or it can be installed through the source code:

wget https://pypi.python.org/packages/source/g/gearman/gearman-2.0.2.tar.gz--no-check-certificate
tar zxvf gearman-2.0.2.tar.gz 
cd gearman-2.0.2 
python setup.py install

In this way, we have completed the installation of Python-gearman.

Second, the use of examples:

Here's a simple example of Python:
First, we need to write a worker with the following code:

1. FileName: echoworker.py

#!/usr/bin/env python 
import os 
import gearman 
import Math 
class Mygearmanworker (Gearman. Gearmanworker): 
  def on_job_execute (self, current_job): 
    print job started " 
    print" ===================\n "Return 
    super (Mygearmanworker, self). On_job_execute (current_job) 
def task_callback (Gearman_worker, Gearman_job): 
  print gearman_job.data 
  print "-----------\ n" return 
  gearman_job.data 
my_worker = Mygearmanworker ([' 10.22.10.47:4730 ']) 
my_worker.register_task ("echo", Task_callback) 
my_worker.work () 

2. Write client, as follows:
FileName: echoclient.py

#!/usr/bin/env python2.7 from 
gearman import gearmanclient 
gearman_client = gearmanclient ([' 192.168.12.34:4730 ']) 
gearman_request = Gearman_client.submit_job (' echo ', ' Test Gearman ') 
result_data = Gearman_request.result 
Print Result_data 

Note the IP address in gearmanclient ([' 192.168.12.34:4730 ']) above, depending on the IP address and port number of the actual startup Gearmand service.

3. Then we run the following command:

Python echoworker.py
python echoclient.py

At this point, you can see the output.