Up to now, there's been an assumption that all Paths for a given relation
compute the same output column set (targetlist).  However, there are good
reasons to remove that assumption.  For example, an indexscan on an
expression index might be able to return the value of an expensive function
"for free".  While we have the ability to generate such a plan today in
simple cases, we don't have a way to model that it's cheaper than a plan
that computes the function from scratch, nor a way to create such a plan
in join cases (where the function computation would normally happen at
the topmost join node).  Also, we need this so that we can have Paths
representing post-scan/join steps, where the targetlist may well change
from one step to the next.  Therefore, invent a "struct PathTarget"
representing the columns we expect a plan step to emit.  It's convenient
to include the output tuple width and tlist evaluation cost in this struct,
and there will likely be additional fields in future.

While Path nodes that actually do have custom outputs will need their own
PathTargets, it will still be true that most Paths for a given relation
will compute the same tlist.  To reduce the overhead added by this patch,
keep a "default PathTarget" in RelOptInfo, and allow Paths that compute
that column set to just point to their parent RelOptInfo's reltarget.
(In the patch as committed, actually every Path is like that, since we
do not yet have any cases of custom PathTargets.)

I took this opportunity to provide some more-honest costing of
PlaceHolderVar evaluation.  Up to now, the assumption that "scan/join
reltargetlists have cost zero" was applied not only to Vars, where it's
reasonable, but also PlaceHolderVars where it isn't.  Now, we add the eval
cost of a PlaceHolderVar's expression to the first plan level where it can
be computed, by including it in the PathTarget cost field and adding that
to the cost estimates for Paths.  This isn't perfect yet but it's much
better than before, and there is a way forward to improve it more.  This
costing change affects the join order chosen for a couple of the regression
tests, changing expected row ordering.