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Python parallel http requests using multiprocessing
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| #!/usr/bin/env python | |
| from multiprocessing import Process, Pool | |
| import time | |
| import urllib2 | |
| def millis(): | |
| return int(round(time.time() * 1000)) | |
| def http_get(url): | |
| start_time = millis() | |
| result = {"url": url, "data": urllib2.urlopen(url, timeout=5).read()[:100]} | |
| print url + " took " + str(millis() - start_time) + " ms" | |
| return result | |
| urls = ['http://www.google.com/', 'https://foursquare.com/', 'http://www.yahoo.com/', 'http://www.bing.com/', "https://www.yelp.com/"] | |
| pool = Pool(processes=5) | |
| start_time = millis() | |
| results = pool.map(http_get, urls) | |
| print "\nTotal took " + str(millis() - start_time) + " ms\n" | |
| for result in results: | |
| print result | |
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