This question has been asked numerous times here. But the answer has never
been satisfactory. Can someone answer it full and final, please ?
If you get back a document as a search hit. How do you find out which field
in it matched ? Just the position of the field is sufficient !
-thanks
--
Hi,
I have an index which contains more than 20K documents. Each document has
the following structure :
field : ID (Index and store) typical value - 1000
field : parameterName(index and store) typical value -
/mcp/data/parent1/parent2/child1/child2/status
Hi all,
Can I get just a list of document Ids given a search criteria ? To
elaborate here is my situation:
I store 2 contracts in the file system index each with some
parameterName and Value. Given a search criterion - (paramValue='draft'). I
need to get just an ArrayList of Strings
the
contractId. For all other fields, set the store flag to false while
indexing.
You can now safely retrieve the value of this contractId field based on
your search results.
Regards,
kapilChhabra
-Original Message-
From: makkhar [mailto:[EMAIL PROTECTED]
Sent: Thursday
This problem has been baffling me since quite some time now and has no
perfect solution in the forum !
I have 10 documents, each with 10 fields with parameterName and
parameterValue. Now, When i search for some term and I get 5 hits, how do I
find out which paramName-Value pair matched ?
I am
Currently, we use regular expression pattern matching to get hold of which
field matched. Again a pathetic solution since we have to agree upon the
subset of the lucene search and pattern matching. We cannot use Boolean
queries etc in this case.
makkhar wrote:
This problem has been
Here's what is going wrong for me :
I have 10 documents, each with 10 fields with parameterName and
parameterValue. Now, When i search for some term and I get 5 hits, how do I
find out which paramName-Value pair matched ? Very simple a problem, but I
could find no information on the forum for
. But
highlighting is a very very heavy operation for wildcards. We work on really
large datasets, Hence we cannot use this approach. Any other ideas ?
Thanks
Daniel Noll-3 wrote:
On Monday 07 May 2007 06:19:47 makkhar wrote:
Here's what is going wrong for me :
I have 10 documents, each with 10