Hello guys,

thank you for all the valuable feedback. I can not say that I could
follow you in all the details, especially when talking about Qi4J
internas. Therefore
I will code in the next couple of days a simple prototype that
reflects our needs.
We will further discuss the pro/contra on that SQL topic.

Cheers,
Jiri

2012/10/2 Stanislav Muhametsin <[email protected]>:
> Quoting Niclas Hedhman <[email protected]>:
>
>> On Tue, Oct 2, 2012 at 4:05 PM, Stanislav Muhametsin
>> <[email protected]> wrote:
>>
>>> Why would nr. 2 result in a lot of empty fields (I assume you meant rows
>>> here?)?
>>
>>
>> No. Not rows.
>> The choice is that a row = a composite. And coumn is the
>> full-qualified property/association name (i.e. Mixin + method name).
>
>
> Ah sorry, I noticed I missed a 'single table' in your explanation of nr 2.
> My fault!
>
>
>>> Indexing-SQL is done exactly like that, and it never stores empty
>>> rows to the Property/Association tables.
>>
>>
>> Ahh... A 4th choice that I didn't realized. A table with Identity,
>> Property and Value columns. I think it is another "obfuscation" from
>> the "SQL community's" point of view; There is no schema at all, as we
>> have in 1.
>
>
> Yes, except it takes it further - one *table* for each full-qualified
> property/asso name. The collection value types complexify it a bit but not
> extremely much. Thus we can store each property/asso of the entity without
> the need to fill rows with empty values. Of course, the complexity then
> grows. And there is a schema - it contains tables and their constraints for
> all properties/assos of all entity types used in whole Qi4j application.
>
>
>>> IMO the whole noSQL fuss is just hype. SQL is a professional tool, and
>>> there
>>> is nothing wrong with its scalability or other options. Most problems
>>> related with SQL stem from not understanding how to use it properly. Not
>>> to
>>> mention that pretty much all ORM-frameworks are total crap (including
>>> Hibernate & Co, or Microsoft's "solutions" in C# world). Yes - every
>>> single
>>> ORM framework I tried, was pretty much unusable (for the project I'm
>>> working
>>> for).
>>
>>
>> As for the "hype", I would somewhat agree, but SQL is both capable but
>> likewise complex and hard to work with in a primarily object-oriented,
>> graph-related software world. Does NoSQL solves all our problems? No,
>> not at all, but it highlights the absurdity that SQL is THE answer to
>> all storage needs. It isn't...
>
>
> Yeah, I think there is no 'silver bullet' as such, not even SQL is that ;)
>
>
>> As for ORM; In general, you are right. Hibernate sucks. More so than
>> JPA. JPA sucks more than JDO. It makes the initial steps relatively
>> easy, only to rear the ugly heads down the line. Or IOW, the ORM
>> abstraction LEAKS into the object model quite severely.
>
>
> +1.
>
>
>>> Summa summarum (aka TL;DR): if you have a working SQL-based system, don't
>>> bother to change to noSQL solution.
>>
>>
>> Yes, I agree with that... unless you are adding features that are
>> extremely hard to solve when built on RDBMS.
>>
>
> Ah, the ever-lasting dilemma of complexity growth. What happens when you are
> adding features that are extremely hard to solve when built on noSQL
> solution? :) If noSQL doesn't solve *all* problems, surely there must exists
> such scenarios (none come to my mind right now tho).
>
>
>
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