A preliminary study on distributed task system GEARMAN FOR PYTHON

To learn about Gearman, please visit gearman official website: gearman.org/

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Install Gearman:

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Basic dependency library:

yum install boost-devel libevent-devel sqlite-devel libuuid-devel
wget https://launchpad.net/gearmand/trunk/0.33/+download/gearmand-0.33.tar.gz 
tar xzvf gearmand-0.33.tar.gz 
cd gearmand-0.33 
./configure
make
make install

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Install Gearman Python client

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wget http://pypi.python.org/packages/source/g/gearman/gearman-2.0.2.tar.gz#md5=3847f15b763dc680bc672a610b77c7a7 
    tar xvzf  gearman-2.0.2.tar.gz 
    python setup.py install

Get the automatic installation directly: easy_install gearman

Start the service: gearmand -d

Start the Worker: gearman -w -f wc -- wc -l &

-w means to start a worker, -f wc means to start a task named wc, -- wc -l means that this task is to do wc -l to count the number of rows.

Start Client: gearman -f wc

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python work code:

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import os 
import gearman 
import math       
class MyGearmanWorker(gearman.GearmanWorker):   
    def on_job_execute(self, current_job):   
        print "Job started" 
        return super(MyGearmanWorker, self).on_job_execute(current_job)   
     
def task_callback(gearman_worker, gearman_job):   
    print gearman_job.data  
    return gearman_job.data 
     
my_worker = MyGearmanWorker(['192.168.0.75:4730'])   
my_worker.register_task("echo", task_callback)   
my_worker.work()

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python client code:

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from gearman import GearmanClient       
gearman_client = GearmanClient(['192.168.0.75:4730']) 
gearman_request = gearman_client.submit_job('echo', 'foo') 
result_data = gearman_request.result 
print result_data