Yea I just went through this process, it is a bit tricky but not too hard, you 
can use a multipart POST library like this:
http://pipe.scs.fsu.edu/PostHandler/MultipartPostHandler.py

to POST the image data to blobstore, and iterate through your models with the 
mapreduce framework, then you'll need a callback handler once they are posted.

Faster images and auto-thumbnailing are definitely worth it! Let me know if you 
need help.

-Martin


On Aug 22, 2010, at 4:27 PM, jorge wrote:

> So the changes in 1.3.6 are very welcome, indeed.  In particular, the
> high performance image serving is something I would like to leverage
> immediately.  The app I built and have been maintaining has several
> hundred images at this point.  Unfortunately, I started writing the
> app long before the blobstore became available, so all of my images
> are stored as raw bytes in a BlobProperty in the datastore.
> 
> You're probably beginning to see my problem.  I'd love to move all of
> the images into the blobstore to take advantage of the new high
> performance image serving.  Since access to the blobstore is not
> directly exposed (that I know of), it seems to me the only way to do
> this is to iterate through all the images in the datastore, generate a
> blobstore URL for each and attempt to construct a POST request somehow
> from the raw images bytes.  I don't even know if this is possible, or
> how it will work.  In any event, it sounds pretty painful.  I'm
> wondering if there is a suggested way to accomplish this.  I have a
> few ideas but I'd like to hear others before I start on what seems to
> be a fairly difficult task.
> 
> TIA
> 
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