From: | Christophe <xof(at)thebuild(dot)com> |
---|---|
To: | PGSQL General <pgsql-general(at)postgresql(dot)org> |
Subject: | Re: ERROR: relation . . . does not exist |
Date: | 2008-08-30 16:19:14 |
Message-ID: | 33AA3CC0-F347-4820-9B2C-8E0233DE6CB4@thebuild.com |
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Thread: | |
Lists: | pgsql-general |
On Aug 30, 2008, at 6:26 AM, Albretch Mueller wrote:
> Well, then obviously there is the need for it and you were not
> successful enough at convincing these developers that they were
> "confusing postgresql with a spreadsheet program"
The behavior you are looking for is typical of a spreadsheet, because
spreadsheet programs (generally; I'm sure there are exceptions) don't
have the notion of a schema; each cell can hold its own particular
type. That being said, the automatic type-guessing that Excel, say,
provides is far from foolproof; I've probably spent more time
cleaning up Excel's bad guesses than would have been saved by my just
specifying a type for each column.
As has been noted, text representation of values are extremely
ambiguous as of which Postgres type they mean... and, of course, you
could have user-defined domains and types as well. It's true that it
could take a wild guess, but that's not a traditional part of a
database engine.
That being said, it would not be too hard to write a client that
accepted a CSV or tab-delimited file, parsed the header into column
names, and then scanned the values of the columns to take a
reasonable guess as to the column type from a highly limited set of
possibilities. This is probably one of those classic "twenty lines
of Perl" problems.
It doesn't seem as though COPY INTO is the right place for that,
since the particular guesses and set of types that one would make
strike me as very closely tied to your particular application domain.
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