Re: Parsing error ? with addref
Rich Shepard <[email protected]>
| Newsgroups | gmane.text.refdb.general |
|---|---|
| Message-ID | <[email protected]> |
On Sat, 24 Jun 2006, Daniel O'Donnell wrote:
> I'm importing about 2900 references using addref. If I then output to ris,
> I'm finding that keywords seem to be mixed up a little. What seems to be
> happening is that short (one character or word) and unique (one occurrence
> in the original data) keywords are showing up randomly and repeatedly
> assigned to other entries. These other entries still keep their original
> keywords.
Dan,
Since I'm another brand-new user, I probably don't know what I'm writing
about, but I'll point out what I don't think is correct, then we can both
learn some more about RefDB.
As far as the keyword order is concerned, that's a PostgreSQL thing. Rows
(tuples) are returned from a query in no particular order. Unless the query
has an ORDERED BY clause, we'll see this every time. It's not any sort of a
bug or issue of concern.
> 1) Original RIS
>> KW - chapter 6
>> KW - chapter 1
>> KW - Dawn
>> KW - chapter 6
>> KW - chapter 1
>> KW - Dawn
Why the duplicate entries in the original?
> Here's what is coming out the other end:
>> refdbc: getref -d refdbib -t ris :AU:~^Abraham
^^^^^^^^^^
Unless you have multiple databases with entries, you don't need to specify
the name. What I don't see in your command line is the option to write the
returned records to a file, e.g., '-o hereiam.ris'. I wonder if you'll see
the same output in a file that you see on screen,
> The problem is the following keyword section
>
> KW - l
>> KW - m
>> KW - o
>> KW - ld
>> KW - h
>> KW - æ
>> KW - Cædmon
> These are all unique keywords drawn from other entries in the original
> RIS file. They show up multiple times in the refdb generated ris files.
Are the encodings for all databases the same? Do you really have single
letter keywords on some entries?
This looks as strange and confusing as my problems with keywords returned
by getref. But, in my case it was caused by asking for an exact match rather
than a 'like' match.
Rich
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