Re: Patch for 8.5, transformationHook - Mailing list pgsql-hackers

From Kevin Grittner
Subject Re: Patch for 8.5, transformationHook
Date
Msg-id 4A80367602000025000297AE@gw.wicourts.gov
Whole thread Raw
In response to Re: Patch for 8.5, transformationHook  (Tom Lane <tgl@sss.pgh.pa.us>)
Responses Re: Patch for 8.5, transformationHook  ("Kevin Grittner" <Kevin.Grittner@wicourts.gov>)
Re: Patch for 8.5, transformationHook  (Tom Lane <tgl@sss.pgh.pa.us>)
List pgsql-hackers
Tom Lane <tgl@sss.pgh.pa.us> wrote:
> In the specific case of COALESCE, we could theoretically do that,
> since the only computation it needs is "IS NULL" which is
> datatype-independent.
Well, in the SQL specification, COALESCE is defined as an abbreviation
of the CASE predicate, so to the extent that anyone pays attention to
the spec, this: COALESCE(a, b)
should be treated identically to: CASE WHEN a IS NULL THEN a ELSE b END
> In most situations, however, you can't evaluate the function without
> knowledge of the datatype semantics.  As an example, consider
> NULLIF('0', '00').  This gives different answers if you suppose the
> literals are text than if you suppose they are integers.
That is the other CASE abbreviation.  (The only other one.)  So,
according to how I read the spec, it should be identical to  CASE WHEN '0' = '00' THEN NULL ELSE '0' END
> So yeah, we could make COALESCE into a special-case wart in the type
> system and have it able to execute without inferring a type for the
> arguments.  I don't think that would be a net improvement in the
> system's astonishment quotient, however; people would just be
> confused why COALESCE behaves differently from everything else.
Not if they notice that COALESCE and NULLIF are documented (quite
properly) on the "conditional expressions" page, along with the CASE
predicate:
http://www.postgresql.org/docs/8.4/interactive/functions-conditional.html
It is probably a poor choice on the part of the standards committee to
implement these abbreviations for the CASE predicate in a way the
causes them to look so much like functions.
-Kevin


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