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Re: ORMs comparisons/complaints. [message #184483 is a reply to message #184463] Fri, 03 January 2014 02:10 Go to previous messageGo to previous message
Arne Vajhøj is currently offline  Arne Vajhøj
Messages: 27
Registered: December 2013
Karma:
Junior Member
On 1/2/2014 6:36 AM, Silvio wrote:
> On 01/02/2014 04:19 AM, Arne Vajhøj wrote:
>> On 12/30/2013 8:38 AM, Silvio wrote:
>>> This is also the area where ORMs failed in the projects
>>> I talked about. It's not that the ORM can not do it, it just can not do
>>> it sufficiently well even with help from the most experienced experts we
>>> could find.
>>
>> ????
>>
>> Joins is a core feature of ORM.
>>
>> And common Java ORM's like JPA implemntations and Hibernate does
>> aggregate functions exactly like SQL in JPQL and HQL respectively.
>>
>> I wonder what kind of "experts" you got.
>
> Yes, they got all the stuff working the first time with joins and
> aggregates like you say. But after some time they got into trouble
> because aliased data caused the systems to show faulty counts and totals
> etc. and from there on it went down-hill. On more than one system they
> had to forcefully flush the cache at specific moments to get the right
> results for subsequent reporting. Which then did not work very promptly,
> to put it mildly.

It has either been a horrible ORM or some horrible "experts".

> Most systems I work(ed) on are primarily analytical systems working on
> data that comes from surveys, measure devices, order tracking systems
> etc. and fetching a record and storing it after manually changing some
> attributes is not the common use case. The primary goal is to properly
> manage such data at the record level behind the scenes while at the same
> time allow thorough analysis of the overall process. Much of this
> requires aggregates on joins that have to be built dynamically because
> the user can specify exactly what he needs via a UI, akin to an OLAP
> system.
>
> I admit that this is not a good match for ORM but in these cases that
> was hindsight wisdom. When they started they thought ORM was the right
> tool. Which does not surprise me since I encounter many people who never
> doubt ORM is the way to go with any system.

Ah.

ORM's are often good for transactional data (OLTP).

Not as obvious a choice for analytical data (DWH).

Arne
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