On Jul 19, 2010, at 5:46 PM, thatsanicehatyouh...@mac.com wrote:

> Hi Michael,
> 
> Assuming I understood you correctly, I tried the code below. The result was 
> the same (the query took 486 seconds). Since I autoload everything, I first 
> adjust the column types to the class you defined. Did I misunderstand 
> something?


nope.   you'd have to produce some profiling results for us or a script that 
illustrates the issue.


> 
> Thanks again for your help.
> 
> Cheers,
> Demitri
> 
> ---
> 
> from sqlalchemy.dialects import postgresql
> from sqlalchemy.schema import Column
> from sqlalchemy.types import Numeric
> 
> ...
> 
> class ARRAY(postgresql.ARRAY):
>  def bind_processor(self, dialect):
>      return None
> 
>  def result_processor(self, dialect, coltype):
>      return None
> 
> for c in Spectrum.__table__.get_children():
>       if type(c) is Column:
>               if c.name in ["values", "inv_var", "and_mask", "or_mask"]: # 
> numeric[] columns
>                       c.type = ARRAY(Numeric)
>                       print c.name
> 
> spPlateFilename = "spPlate-3586-55181.fits"
> spectra = session.query(Spectrum).join(SpectrumHeader).\
>       filter(SpectrumHeader.filename == spPlateFilename).all()
> 
> 
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