분산 작업 시스템 GEARMAN FOR PYTHON에 대한 예비 연구

Gearman에 대해 자세히 알아보려면 gearman 공식 웹사이트(gearman.org/

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Gearman 설치:

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기본 종속성 라이브러리:

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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Gearman Python 클라이언트 설치

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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

직접 자동 설치 받기: easy_install gearman

서비스 시작: gearmand -d

작업자 시작: gearman -w -f wc -- wc -l &

-w는 작업자 시작을 의미하고, -f wc는 wc라는 작업을 시작한다는 의미이며, -- wc -l은 이 작업이 행 수를 계산하기 위해 wc -l을 수행한다는 것을 의미합니다.

클라이언트 시작: gearman -f wc < /etc/passwd

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Python 작업 코드:

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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 클라이언트 코드:

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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