I can't quite decide if to go with a flat schema, with keys repeated
in different CFs
or have one CF with nested supercolumns.

I guess there is no straight answer here,  but what's a good reasoning
about the choice?

This two mutation maps should clarify my dillemma:

deep_mutation_map = {
        'example_item': {
                'Items': [                                                      
                        Mutation(SuperColumn('details', [
                                Column('title', 'an article'),
                                Column('link', 'www.example.com')
                        Mutation(SuperColumn('likers', [
                                Column('user_1', 'xx'),
                                Column('user_2', 'xx')
flat_mutation_map = {
        'example_item': {                       
                'Item_Info': [
                        Mutation(Column('title', 'an_article')),
                        Mutation(Column('link', 'www.example.com')),
                'Item_likers': [
                        Mutation(Column('user_1', 'xx')),
                        Mutation(Column('user_2', 'xx'))

On Tue, Mar 9, 2010 at 7:33 PM, Jonathan Ellis <jbel...@gmail.com> wrote:
> On Tue, Mar 9, 2010 at 7:30 AM, Matteo Caprari <matteo.capr...@gmail.com> 
> wrote:
>> On Tue, Mar 9, 2010 at 1:23 PM, Jonathan Ellis <jbel...@gmail.com> wrote:
>>> That's true.  So you'd want to use a custom comparator where first 64
>>> bits is the Long and the rest is the userid, for instance.
>>> (Long + something else is common enough that we might want to add it
>>> to the defaults...)
>> What about using a SuperColumn for each like-count and then the list
>> of users that hit that level?
> That would also work, it's just a little clunky pulling things out of
> a nested structure when really you want a flat list.  But if you are
> allergic to Java that is the way to go so you don't have to write a
> custom AbstractType subclass. :)
> -Jonathan

:Matteo Caprari

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