Hi,
Am trying to query my Google App Engine datastore [Python], which has
a item_name, manufacturing_date and number_of_items_shipped.
The scenario:
Get all the item_names which has been shipped more than x_items [user
input] and manufactured after some_input_date [user input].
Basically, kind of
with the help of the cursor (all items, while loop) select on more
than x_items, within the loop check if after some_input_date, append
for example to python list or javascript array, when the loop is ready
show the list.
gr
wim
2011/2/1 Prashanth prashanth.b...@gmail.com:
Hi,
Am trying to
This would require 2 inequality filters so no luck.
On Tue, Feb 1, 2011 at 7:17 AM, Prashanth prashanth.b...@gmail.com wrote:
Hi,
Am trying to query my Google App Engine datastore [Python], which has
a item_name, manufacturing_date and number_of_items_shipped.
The scenario:
Get all the
If the amount of data is merely trivial then this would work but anything
more than merely trivial and the solution would have to include the use of
tasks.
On Tue, Feb 1, 2011 at 12:18 PM, Wim den Ouden wdenou...@gmail.com wrote:
with the help of the cursor (all items, while loop) select on
no, no, first the query on is item_names and more than x_items,
then a loop on the result from this query (for items in resultquery:)
if some_input_date date: append to list
when ready show list
you can play with fetch(..) to get optimum speed and cpu usage.
ofcourse not a top solution, but it
If you intend to make multiple calls passing the cursor back and forth
between client and server then that would work but if you intend to do it
all in one request then I think the poster of the original question would
need to define how much data they were talking about which brings me back to
