In case anyone is interested, I tried it and it doesn't seem to work.
It looks like some other plan element already has the target-list
tuple baked. Now I'm trying to decide whether to give up on FDW. It's
a shame because it's such a sweet facility, but at this point, I just
don't think that it's mature enough for what I need to do.
Regards,
David Gudeman


On Mon, Apr 22, 2013 at 11:27 AM, David Gudeman <dave.gude...@gmail.com> wrote:
> Re-reading my first email I thought it was a little confusing, so here
> is some clarification. In GetForeignPlan, tlist seems to be a target
> list for a basic "select *" from the foreign table. For the ith
> TargetEntry te in tlist, it seems that te->expr is a var with
> varattno=i. I was mis-remembering and calling varattno "attrno" in the
> original email.
>
> My assumption is that the plan elements that use the output of the FDW
> plan node will access columns indirectly using tlist. In other words,
> I'm assuming that if there is a reference to a column c of the foreign
> table, this column will be represented as a Var with varattno being an
> offset into tlist. So if c is column number 3, for example, you get
> its value by looking up TargetEntry number 3 in tlist and evaluate the
> expr column for that TargetEntry. So if I change the  Var in the expr
> column so the varattno points to a different column in the output
> tuple, then everything will work.
>
> The two risky assumptions I'm making are 1. that it actually uses this
> indirect way of looking up columns in a foreign table and 2. that it
> actually uses the tlist that I pass in when I call make_foreignscan().
>
> Can anyone confirm or deny these assumptions?
>
> Thanks.
>
> On Sun, Apr 21, 2013 at 6:57 PM, David Gudeman <dave.gude...@gmail.com> wrote:
>>
>> A few years ago I wrote a roll-your-own foreign-data-wrapper system for 
>> Postgres because Postgres didn't have one at the time (some details here 
>> (http://unobtainabol.blogspot.com/2013/04/dave-foreign-data-introuction.html)
>>  if anyone is interested). Now I'm being tasked to move it to Postgres 9.2.x 
>> and I'd like to use FDW if possible.
>>
>> One of the problems I'm having is that in my application, the foreign tables 
>> typically have hundreds of columns while typical queries only access a dozen 
>> or so (the foreign server is a columnar SQL database). Furthermore, there is 
>> no size optimization for NULL values passed back from the foreign server, so 
>> if I return all of the columns from the table --even as NULLs-- the returned 
>> data size will be several times the size that it needs to be. My application 
>> cannot tolerate this level of inefficiency, so I need to return minimal 
>> columns from the foreign table.
>>
>> The documentation doesn't say how to do this, but looking at the code I 
>> think it is possible. In GetForeignPlan() you have to pass on the tlist 
>> argument, which I presume means that the query plan will use the tlist that 
>> I pass in, right? If so, then it should be possible for me to write a 
>> function that takes tlist and baserel->reltargetlist and return a version of 
>> tlist that knows which foreign-table columns are actually used, and replaces 
>> the rest with a NULL constant.
>>
>> For example, suppose the original tlist is this: [VAR(attrno=1), 
>> VAR(attrno=2), VAR(attrno=3)] and reltarget list says that I only need args 
>> 1 and 3. Then the new tlist would look like this: [VAR(attrno=1), 
>> CONST(val=NULL), VAR(attrno=2)] where the attrno of the last VAR has been 
>> reduced by one because the 2 column is no longer there.
>>
>> I did something very much like this in my roll-your-own version of FDW so I 
>> know basically how to do it, but I did it at the pre-planning stage and I'm 
>> not sure how much is already packed into the other plan nodes at this point. 
>> Maybe it's too late to change the target list?
>>
>> Can anyone give me some advice or warnings on this? I'd hate to go to the 
>> trouble of implementing and testing it only to find that I'm making some 
>> bogus assumptions.
>>
>> Thanks,
>> David Gudeman
>>


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