Op Thursday 14 February 2008 02:11:24 schreef Cedric Ho:
> I am using Lucene's Built-in query classes: TernQuery, PhraseQuery,
> WildcardQuery, BooleanQuery and many of the SpanQueries.
>
> The info I am going to pass in is just some weightings for different
> part of the indexed contents. For exa
Is this Speller class a Lucene class? I didn't find it in the main code
stream, maybe it's part of contrib?
Anyway, still it depends how it is implemented (OR or AND). For example,
someone indexed a document with the word "abcde" and the index keeps the
ngrams "abc", "bcd" and "cde". Then somebody
The only Query that currently utilizes the scorePayload functionality
is the BoostingTermQuery. I guess I would have a look at that as a
starting point.
On Feb 13, 2008, at 8:11 PM, Cedric Ho wrote:
I am using Lucene's Built-in query classes: TernQuery, PhraseQuery,
WildcardQuery, Boolean
I am using Lucene's Built-in query classes: TernQuery, PhraseQuery,
WildcardQuery, BooleanQuery and many of the SpanQueries.
The info I am going to pass in is just some weightings for different
part of the indexed contents. For example if the payload indicate that
a term is in the 2nd paragraph, t
[Not even remotely related to Lucene, Java, Apache or anything]
Nanoki, a sweet little wiki engine implemented in Lua [1].
http://alt.textdrive.com/nanoki/
Online demo:
http://svr225.stepx.com:3388/nanoki
Kind regards,
PA.
[1] http://www.lua.org/about.html
-
Hi,
I am trying to perform a query that will enable me to run the following
logic against the index:
"4 3 [>=7] [>=4]" .. [>=7] means the third number must be greater or equal
to 7 and [>=4] means that the fourth number must be greater or equal to 4 ..
I have reviewed the query syntax and it seems
Hello Shai,
The class that does the matching is Speller.
It does not work query based but rather there is a method called -
suggestSimilar(String word, int numSug); where the numSug is number of
suggestions. The words are kept in the index as ngrams. For example abcde is
kept as abc bcd cde.
So th
The metadata is quite offen altered and there are millions of documents.
Also document access is secured by complex sql statements which lucene might
not support.
So this is not an option I think.
> -Original Message-
> From: John Byrne [mailto:[EMAIL PROTECTED]
> Sent: Mittwoch, 13. Febr
Hi,
You might consider avoiding this problem altogether, by simply adding
the meta data to your Lucene index. Lucene can handle untokenized
fields, which is ideal for meta data. It might not be as quick as the
RDB, but you could perhaps optimize by only searching in the RDB when
you only need
Hi,
I have the following scenario:
RDBMS which contains the metadata for documents (ID, customer number,
doctype etc.).
Now I want to add fulltext search support.
So I will index the documents content in lucene and add the documents ID as
a stored field in lucene.
Now somebody wants to search l
What is the default Operator of your QueryParser? Is it AND_OPERATOR or
OR_OPERATOR. If it's OR ... then it's strange. If it's AND, then once you
add more terms than what exists, it won't find anything.
On Feb 13, 2008 6:54 PM, Cam Bazz <[EMAIL PROTECTED]> wrote:
> Hello;
>
> I am trying to make
Hello;
I am trying to make a product matcher based on lucene's ngram based suggest.
I did some changes so that instead of giving the speller a dictionary I feed
it with a List.
For example lets say I have "HP NC4400 EY605EA CORE 2 DUO T5600
1.83GHz/512MB/80GB/12.1''
NOTEBOOK"
and I index it with
Hey, its me again :P
I've been looking a way to retrieve all parsed terms from a given query
string, but no success till now. For example, I need convert:
word01 "word02 word03" AND word04 theField:(xyz) mod_date:[20020101 TO
20030101] (abc OR xyp)
into:
word01
"word02 word03"
Have you looked at the query.toString()? In particular, is your
date being split up into pieces on the slashes?
But why it's working today, I have no clue. Unless you were seeing
results on a freshly-opened reader yesterday
Erick
On Feb 13, 2008 7:12 AM, Cesar Ronchese <[EMAIL PROTECTED]> wr
eks dev wrote:
2. We use Lucene Index wit MMAP directory now, so the concern is
that index could grow too large for MMAP with stored field like that.
Is there a way to say, "do not use MMAP Directory for stored Fields,
rather FSDirectory". I think not, but it is worth to ask as I think
this cou
I would like to try to replace our external storage of documents with Lucene
stored field, so a few questions before we proceed:
Background: We store currently complete documents in a simple binary file and
only keep offsets into this file as a Stored field in Lucene index. Documents
(compre
Naman Gupta schrieb:
PDF Box uses a particular function of the Object 'Field' which is only
there in the lucene 1.4.3.
*Field.UnIndexed("path", file.getPath() )
This statement should be a good replacement:
new Field("path", file.getPath(), Field.Store.YES,
Field.Index.UN_TOK
Yes, it is optimized already.
But today, when I got to test again, its looks like quick. :S
I can't understand why.
Michael Stoppelman wrote:
>
> Did your index size increase drastically?
>
> As a first step I would recommend optimizing your index if you haven't
> already.
>
> -M
>
> On
Are you writing your own Query? What kind of info did you have in
mind? scorePayload is called from the query scoring class, so I am
not sure how you would pass in info to it unless you were writing your
own Query class.
-Grant
On Feb 13, 2008, at 4:31 AM, Cedric Ho wrote:
Hi all,
My
Hey
I am having problem using PDF Box for parsing the PDF and coverting
them to Lucene Document using the following statement.
Document doc = LucenePDFDocument.getDocument( file );
PDF Box uses a particular function of the Object 'Field' which is only
there in the lucene 1.4.3.
Thank you for your responses.
But i'm very surprised to see the FuzzyQuery used in my junit test work at
100%. I must only to determine if this simple algo work with full data.
RAMDirectory directory = new RAMDirectory();
IndexWriter writer = new IndexWriter(directory, new MyAnalyze
Hi all,
My problem is I have some additional weighting info that come with
each search. And I need to take both the weighting info and the
payload to calculate scores.
So how do I access the weighting info in
Similarity.scorePayload(String,byte[],int,int) ? I've thought about
using a ThreadLocal,
You could create your own SimpleFSLockFactory, specifying a different
lock dir, and pass that to FSDirectory.getDirectory.
This way you can control where the lock file is created and hopefully
put it in a dir that you're able to delete from.
Or, update to a newer version of Lucene, which
hey i am running my indexer on application server/ production server..
i cant delete the files..
please give me a good solution..
changing true and false is not working..if have add new docs..
can nay one help me..please...
regards
anjana
On Jan 31, 2008 3:02 PM, Michael McCandless <[EMAIL PROT
24 matches
Mail list logo
