Alex Turner wrote:
> Guess you've never heard of MVCC?
>   
I have. but putting it into practice is a wee bit difficult. You 
typically end up with a big "point in time" abstraction mess.

Regards,
Kirk
> On Mon, Jul 20, 2009 at 1:05 AM, kirk<[email protected]> wrote:
>   
>> Hi Steven,
>>
>> Just got back from vacation and this thread jumped out at me and maybe I
>> jumped in a bit early. Now that I've read more of the discussion....
>>
>> I'm not a historian also but my experience with hierarchical is that
>> they were limiting in what you could model with them. This wasn't a
>> problem with network dbs. The problems you've pointed out with
>> hierarchical I've not found with network db. But then my experiences
>> with them are limited and fairly old. I'll focus on the tooling thing
>> 'cos I think that it's the most important mention in your response.
>>
>> I worked with OO databases for a number of years, first as a user and
>> then as an employee of GemStone. When I first ran into them the project
>> rejected them because of the schema migration problem (object
>> versioning). It appears that RDBMS gives you a huge win with schema
>> migration even though it suffers from the same problem. One of the big
>> differences is, the data model has been abstracted away from the code
>> (anti-OO). This allows DBA's to be draconian in allowing changes to the
>> db schema without affecting app developers too seriously most of the
>> time. Investment in RDB tooling is such that schema migrations are less
>> painful. OODB didn't have the time to get these tools into the market
>> place and they seriously needed them as restricting schema in OO is a
>> serious restriction to place on the developers. Obviously Hierarchical
>> and Network technologies suffered from the same lack of funding as
>> investment in relational sucked up all the capital.
>>
>> The other comment that struck a cord was one in the initial email
>> suggesting that in order to make a DB scale one had to front it with a
>> big cache. This was suggested to be an indication of a problem. I'm not
>> sure that I agree that it's an indication of a problem to the point
>> where we need to throw the baby out with the bath water. After all,
>> caching is used every where you'd like to short-circuit a call path.
>> Think CPU cache short-circuiting a call to memory. What it does suggest
>> is that we need to seriously think about how we are using the technology
>> and recognizing that the A in ACID equates to a big fat lock that using
>> current practices results in *every* thread in your system.. in your
>> cluster... in your server farm pass through it. If we want to increase
>> concurrency in our systems, adding a big fat lock that every thread must
>> pass through doesn't seem like a wise thing to do. However, just as RAM
>> is still useful, so it relational persistence technology. We just need
>> to learn how to use it to build the types of systems we are building
>> today, not the ones that we built yesterday.
>>
>> Regards,
>> Kirk
>>
>> Steven Herod wrote:
>>     
>>> I'm not a historian, and I acknowledge that a better theory can be
>>> ruined by a crappy implementation but  what I've noticed over the past
>>> 2.5 years hanging around a mainframe hierarchical db is that it takes
>>> a COBOL programmer and hours, weeks or months for questions/changes
>>> like the ones below to be dealt with:
>>>
>>> 1. Can I get the structure of the database?
>>> 2. Can I get a copy of the data in this table?
>>> 3. Can we increase the size of this column by 5 chars?
>>> 4. Can we increase the number of addresses we can store?
>>> 5. Can we find out what the distinct values of this col are in this
>>> table?
>>> 6. Can you tell me how many customers we have which own <this
>>> product>?
>>>
>>> Obviously each of these things can be done in seconds in SQL and with
>>> freely available inexpensive tooling.
>>>
>>> We also have issues with data quality.  Lack of constraints and
>>> foreign keys... it catches up with you after 20 years of data
>>> collection :).
>>>
>>> I'm in the process of reading the Amazon Dynamo paper, very
>>> interesting, but it strikes me again that its a very, very specific
>>> type of problem, something that isn't appropriate for a vast number of
>>> businesses who process data.  (Just as a RDBMS isn't appropriate for
>>> Amazon).
>>>
>>> On Jul 20, 7:10 am, kirk <[email protected]> wrote:
>>>
>>>       
>>>> Steven Herod wrote:
>>>>
>>>>         
>>>>> I think you might be overlooking how revolutionary SQL/Relational
>>>>> storage is compared to what came before it.
>>>>>
>>>>>           
>>>> like hierarchical and network databases?
>>>>
>>>> Seriously, of the 3 types of databases.. network was by far the best but
>>>> least understood by decision makers so we're stuck with Relational.
>>>>
>>>> Regards,
>>>> Kirk
>>>>
>>>>
>>>>         
>>>       
>>     
>
> >
>
>   


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