Is there any limits on the 'params' structure in the task queue?
Can we (should we!?!) pass around really big data via this, or would
it be best stored in memcache (for example) and just the key passed?
Indeed it is :-P
> 2. Using the queues with the dev_appservery.py is very nice such that
> you can test things out and see how things get queued.
>
> 3. Would like to see flush queue option (or something) in the
> production server, as well as to look at the queue.
We don't have this right now, but will certainly add this eventually.
In the mean time I would encourage you to file this on the issue
tracker.
> 4. My (horrible) first try at queues with production data spawned a
> lot of tasks, most of which now I wish I could just remove and start
> over.
One thing you can do is pause the queue. Another is to push a new
version of your app that has a very simpler handler for the URL the
tasks are using; that way it will quickly eat through all of the
dangling tasks.
> 5. It seemed like I generated 10x tasks then what I was expecting, not
> sure if that is my mistake, but it didn't seem to have this order of
> magnitude when I tried with development data, so I am not sure if that
> is my fault or what.
>
> 6. Currently my queue is stuck and not progressing, again, not sure if
> that is my fault or not.
>
> Thanks again, the API itself it drop dead simple and fun.
Glad to hear!