Right you mean have handlers that delete data instead of using
remote_api?
But wouldnt that limit my requests to 30 seconds (well i guess I could
1000 "delete 100 items" requests) right?
On Apr 27, 5:09 pm, Alkis Evlogimenos ('Αλκης Ευλογημένος)
<evlogime...@gmail.com> wrote:
> If you don't its better to do it on the server side rather
> than transferring data through the net.
> No you don't need to keep the keys locally.
>
> 2009/4/27 Sri <sri.pan...@gmail.com>
>
>
>
>
>
> > But the issue is that i dont really have the keys on me... does that
> > mean that each time i load the datastore il have to keep track of the
> > keys as well locally.. so that when i want to clear them i can use
> > them..
>
> > cheers
> > Sri
>
> > On Apr 27, 8:50 am, Alkis Evlogimenos ('Αλκης Ευλογημένος)
> > <evlogime...@gmail.com> wrote:
> > > The sample code does:
> > > MyModel.all().fetch(1000)
>
> > > This means fetch 1000 entities of MyModel. If each entity is 10kb this
> > means
> > > 10MB of data read from datastore, 10MB of data sent through the network
> > to
> > > your running instance and 10MB of data server from the running instance
> > to
> > > your machine running the remote script.
>
> > > If you know the keys then you can do:
>
> > > db.delete([db.Key.from_path('MyModel', key_name) for key_name in
> > > one_thousand_key_names])
>
> > > This just sends the keys to the datastore for deletion. It doesn't need
> > to
> > > transfer data from the datastore to the remote script to read the keys in
> > > the first place.
>
> > > Eventually GAE api should provide us some way of querying the datastore
> > for
> > > keys only instead of getting entities necessarily. This would make this
> > > use-case quite a bit faster and a lot of others as well.
>
> > > 2009/4/26 Devel63 <danstic...@gmail.com>
>
> > > > Can you explain this further? I don't see any reference to key_name
> > > > in the sample code.
>
> > > > More importantly, to me, what's the cost differential between using
> > > > string representation of keys and key_names? I've been passing around
> > > > key_names to the browser because they're shorter, under the assumption
> > > > that the cost to get the corresponding key on the server side was
> > > > negligible.
>
> > > > On Apr 25, 9:02 am, Alkis Evlogimenos ('Αλκης Ευλογημένος)
> > > > <evlogime...@gmail.com> wrote:
> > > > > Doing it over the remote api means you are going to transfer all your
> > > > data +
> > > > > transmission overhead over the wire. You are probably better off
> > doing
> > > > > something like this on the server side through an admin protected
> > > > handler.
>
> > > > > Also if you happen to know the keys of your data (you used key_name)
> > your
> > > > > deletes are going to be a lot more efficient if you give db.delete a
> > list
> > > > of
> > > > > keys instead.
>
> > > > > On Sat, Apr 25, 2009 at 2:41 PM, Sri <sri.pan...@gmail.com> wrote:
>
> > > > > > Hi,
>
> > > > > > Is there a way to completely erase the production data store?
>
> > > > > > Currently I am using a script like this via the remote api:
>
> > > > > > def delete_all_objects(obj_class):
> > > > > > num_del = 300
> > > > > > while True:
> > > > > > try:
> > > > > > objs = obj_class.all().fetch(1000)
> > > > > > num_objs = len(objs)
> > > > > > if num_objs == 0:
> > > > > > return
> > > > > > print "Deleting %d/%d objects of class %s" % (num_del,
> > > > > > num_objs, str(obj_class))
> > > > > > db.delete(objs[:num_del])
> > > > > > except Timeout:
> > > > > > print "Timeout error - continuing ..."
>
> > > > > > But with 30000 entities in the data store and another 3 million
> > (yep
> > > > > > thats right) coming, doing a clear this way is extremely slow.
>
> > > > > > Any ideas?
>
> > > > > > cheers
> > > > > > Sri
>
> > > > > --
>
> > > > > Alkis
>
> > > --
>
> > > Alkis
>
> --
>
> Alkis
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