the path would be to figure out if the logic of a per-query defer option can 
somehow be linked to the attribute when it hits its normal refresh logic - if 
those attribute were set up as "deferred" at the mapper config level (where 
deferred is usually used), you wouldn't see this overhead since the deferred 
loader would be the default callable.    But if you only need a few attributes 
why not just go the other way and query for those attributes directly?   that 
would save you way more overhead than even if we removed all overhead from 
defer(), since the most expensive thing is all the mapper identity map logic 
that takes place when full entities are loaded.


On Jul 11, 2013, at 4:02 AM, "Gombas, Gabor" <gabor.gom...@morganstanley.com> 
wrote:

> 
> Hi,
>  
> I wrote a query joining a couple of tables, returning over a hundred thousand 
> rows. Since I only needed to access a couple of the attributes of the 
> returned objects for this specific use case, I thought to use a dozen or so 
> Query.options(defer(…)) calls to avoid loading the unneeded columns. But to 
> my surprise, the query became much slower. Profiling attributed almost all 
> the extra time to set_deferred_for_local_state() and 
> LoadDeferredColumns.__init__():
>  
>    827855   15.668    0.000   27.068    0.000 
> …/SQLAlchemy-0.8.1-py2.6-linux-x86_64.egg/sqlalchemy/orm/strategies.py:184(set_deferred_for_local_state)
>    827855   10.524    0.000   10.524    0.000 
> …/SQLAlchemy-0.8.1-py2.6-linux-x86_64.egg/sqlalchemy/orm/strategies.py:259(__init__)
>  
> If defer() is so expensive, then it is not very useful. Would it be possible 
> to make it cheaper?
>  
> Gabor
>  
> 
> 
> 
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