Engineering and Developers Blog
What's happening with engineering and developers at YouTube
Modifying Chow-Down Part 2: Make it Faster!
Tuesday, April 21, 2009
As promised in the
previous blog post
, I was given the task of making our
Chow Down Gdata
sample a little faster. It would sometimes take a while to load restaurant information due to the requests to YouTube and Picasa Web Albums taking a while to be processed on the backend. Since this would cause the user to sometimes see a "loading" bar for several seconds; something had to be done.
Originally, the application used the Python client library to retrieve information from YouTube and PWA and then stored it inside of memcache. The new solution is to instead retrieves these feeds directly in the browser using the
json-in-script support
of the Google Data APIs. This approach worked well for the Chow Down application since we were not retrieving any private information for use in this application and so did not need to authenticate as a user.
Another benefit of using the JSON feeds is that the browser can asynchronously request results from both YouTube and PWA at the same time and render the results as soon as they are returned. This helps decrease the "perceived load time" that the user experiences since they are seeing information start to be loaded instead of just watching a progress bar.
The code for the entire sample is available on code.google.com:
http://code.google.com/p/gdata-samples/source/browse/trunk/chow-down-gdata/
But you can see all of the logic for retrieving the feeds using JavaScript in the ajax_restaurant_info template:
http://code.google.com/p/gdata-samples/source/browse/trunk/chow-down-gdata/src/templates/ajax_restaurant_info.html
The code makes use of the
jQuery JavaScript library
in order to remain compact and compatible.
So if your site is using the Data APIs of one or more Google properties and you don't need authentication, considering switching to the JSON feeds to improve perceived latency and let your pages load the AJAXy way.
Using the YouTube Data API with App Engine and the Python Client Library
Tuesday, August 26, 2008
Posted by Jochen Hartmann, YouTube APIs and Tools Team
For those of you that didn't get a chance to attend the hands-on CodeLab that Steph and I presented at
Google I/O
earlier this year, I just created a
new tutorial
that shows you how to use the
YouTube Data API
with
App Engine
and the
Python Client Library
.
The tutorial covers the following topics:
Writing a simple App Engine application
Test driving the Python Client Library
Using the Python Client Library with App Engine
Performing a video search
Authentication
Uploading videos
If you have any feedback or questions, drop by the
discussion forum
and let us know.
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