What do you think about this alternative instead of a batch job: When
an image is accessed by HTTP GET, move it to a blob unless already
done.

On Aug 23, 3:52 am, Martin Ceperley <[email protected]> wrote:
> 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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