Parallel fetching of files

Question

In order to download files, I'm creating a urlopen object (urllib2 class) and reading it in chunks.

I would like to connect to the server several times and download the file in six different sessions. Doing that, the download speed should get faster. Many download managers have this feature.

I thought about specifying the part of file i would like to download in each session, and somehow process all the sessions in the same time. I'm not sure how I can achieve this.

Swearword

Answer 1

Sounds like you want to use one of the flavors of HTTP Range that are available.

edit Updated link to point to the w3.org stored RFC

Jaret

Thanks for mentioning this - updated the link to point to the w3.org RFC which should be less transient. – Jaret

Answer 2

As to running parallel requests you might want to use urllib3 or requests.

I took some time to make a list of similar questions:

Looking for [python] +download +concurrent gives these interesting ones:

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• Library or tool to download multiple files in parallell
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Looking for [python] +http +concurrent gives these:

• Python: How to make multiple HTTP POST queries in one moment?
• Multi threaded web scraper using urlretrieve on a cookie-enabled site

Looking for [python] +urllib2 +slow:

• Python urllib2.open is slow, need a better way to read several urls
• Python 2.6: parallel parsing with urllib2
• How can I speed up fetching pages with urllib2 in python?
• Threading HTTP requests (with proxies)

Looking for [python] +download +many:

• Python,multi-threads,fetch webpages,download webpages
• Downloading files in twisted using queue
• Python: Something like map that works on threads
• Rotating Proxies for web scraping
• Anyone know of a good Python based web crawler that I could use?

Neukam

Answer 3

As we've been talking already I made such one using PycURL.

The one, and only one, thing I had to do was pycurl_instance.setopt(pycurl_instance.NOSIGNAL, 1) to prevent crashes.

I did use APScheduler to fire requests in the separate threads. Thanks to your advices of changing busy waiting while True: pass to while True: time.sleep(3) in the main thread the code behaves quite nice and usage of Runner module from python-daemon package application is almost ready to be used as a typical UN*X daemon.

Peers