Hi Francois,

I was just talking to Arie about this. So some implementation details (for
anyone who is curious): The way the backup tool works is by iterating over
all of your data in a mapper job. The number of shards is determined by the
number of Kinds * Entities per kind. Entities are serialized (
entity.ToPb().SerializeToString() ), batched in a LevelDB format (
http://code.google.com/p/leveldb/) and written to the Blobstore (
http://code.google.com/p/appengine-mapreduce/source/browse/trunk/python/src/mapreduce/output_writers.py
).

What's happening in your case is that there are too many worker shards and
the metadata required to describe the job is exceeding the entity size
limit, and it's causing a mapreduce exception which is bubbling all the way
up to the top. This is a bug in the API and will be fixed. I don't have an
ETA for when the fix will go live, however - hopefully sometime in the next
few days.

In the meantime, do you have an application ID? Arie on the engineering
team would like to take a look at your datastore to look at the metadata
entity, but he needs your permission to do so. He might be able to
recommend a workaround if there's something that jumps out at us.

--
Ikai Lan
Developer Programs Engineer, Google App Engine
plus.ikailan.com



On Wed, Feb 1, 2012 at 1:26 PM, Arie Ozarov <[email protected]> wrote:

> We are looking into it.
>
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