分布式任务系统GEARMAN FOR PYTHON初探

2023年2月9日 175次阅读

了解Gearman，请访问gearman官网：http://gearman.org/index.php?id=getting_started

Gearman for Python API Doc: http://pythonhosted.org/gearman/

++++++++++++++++++++++++++++++++++++++++++++

安装Gearman:

++++++++++++++++++++++++++++++++++++++++++++

基础依赖库：

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

++++++++++++++++++++++++++++++++++++++++++++

安装Gearman Python客户端

++++++++++++++++++++++++++++++++++++++++++++

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

获取直接用自动安装： easy_install gearman

启动服务：gearmand -d

启动Worker：gearman -w -f wc — wc -l &

-w 代表启动的是worker，-f wc 代表启动一个task名字为wc， — wc -l表示这个task是做wc -l 统计行数。

启动Client：gearman -f wc < /etc/passwd

++++++++++++++++++++++++++++++++++++++++++++

python work代码：

++++++++++++++++++++++++++++++++++++++++++++

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()

++++++++++++++++++++++++++++++++++++++++++++

python client代码：

++++++++++++++++++++++++++++++++++++++++++++

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

点赞