My tag files worked very well in dev server without any problem. When uploading to gae/j, I encountered the problem describe in the above mentioned issue and I could fix it according to the workaround guidelines provided in that issue. My environment: WinXP SP2 Eclipse version 3.4 GAE/J SDK 1.3.1 JDK 5.0

The decision to rerun a task is done based on the HTTP response code. There is always a response code, even when the connection is lost. When the code is 200 the task is considered complete and will not be rerun. Any other code means the task needs a rerun. The time between the reruns is increased with each retry. This means a certain task is never retried in parallel. But it could be that a task created later will finish first because it did not need to retry.

If you are trying to connect to a local server you will need to provide -s <server> arg Otherwise it will try to connect to <appid>.appspot.com

You could create an entity group for this. Post:    data    category    sort UserPost:    user

if you can form the key_name for post and userpost like this Key('Post', '<data>') Key('Post', '<data>', 'UserPost', '<user>') Then you can perform a key_only query for a userpost and using the keys parents perform a get to retrieve the relevant userposts Adding new users incrementally to a Post is very simple and light weight. Deleting a Post would also require you to delete the UserPost children. These being in an entity group would provide for performing transactions... generally you wouldn't need to use them anyway... maybe when performing a full delete.

you can only expect to update any single entity or entity group about five times a second. That is an estimate and the actual update rate for an entity is dependent on several attributes of the entity, including how many properties it has, how large it is, and how many indexes need updating. While a single entity or entity group has a limit on how quickly it can be updated, App Engine excels at handling many parallel requests distributed across distinct entities, and we can take advantage of this by using sharding.

With the Task Queue API, applications can perform work outside of a user request but initiated by a user request. If an app needs to execute some background work, it may use the Task Queue API to organize that work into small, discrete units, called Tasks. The app then inserts these Tasks into one or more Queues. App Engine automatically detects new Tasks and executes them when system resources permit.