On Thu, Jan 28, 2010 at 11:14 AM, Max <[email protected]> wrote:
> Bump!
>
> In my opinion, the 2nd one performs better but use more storage.
> Because the first one fan out (n + m) copies whereas the second one
> fans out (n * m) copies.
>
> This is just MY THEORY. Please correct me if I am wrong.

thanks Max :)

does anybody have a pointer to a specification where I could look up
the exact time and space consumption of both querys on GAE?


Thanks,

Raphael
>
> Thanks a lot,
>
> Max
>
> On 1月28日, 上午1時06分, Raphael André Bauer <[email protected]>
> wrote:
>> Hi everybody,
>>
>> Suppose you have to entities. Entity1 has one list, Entity2 has two lists:
>>
>> Entity1
>> List<String> tags_and_timestamps
>>
>> Entity2
>> List<String> tags
>> List<String> timestamps
>>
>> (I hope the peseudocode is ok - the questions is a general datastore
>> question and not dependent on JPA/JDO or low-level api).
>>
>> Then I want to merge join my entities based on two properties: a
>> timestamp and on a tag.
>>
>> Entity1 is a stupid entity simply storing everyhting in one list.
>> So I merge join on one list:
>> tags_and_timestamps == timestamp AND tags_and_timestamps == tag
>>
>> Entity2 is separates both values, so I merge join on:
>> timestamps == timestamp AND tags == tag
>>
>> The question is now: What is more efficient on the GAE datastore?
>> Separating the values into different lists or storing everything in
>> one list?
>>
>> Thanks a lot,
>>
>> Raphael
>
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