Ian,
Thank you for getting back to me. No, I do not get a bogus hit from searching
the small index alone. Also, I do not get a hit if I delete any more documents
from the larger index.
I have updated my test to use RamDirectory and also print maxDoc() for the
searchables and the searcher, all
What is your chosen version? At first glance I'd say your two
examples should be the same but I know there is lots going on behind
the scenes that I don't know about. Is one giving you correct results
and the other not?
As for BooleanFilter - no idea. FWIW I use QueryWrapperFilter,
CachingWrapp
Do you get the bogus hit on the small index if search that index
alone? Are you positive it only holds the one doc? Loading the one
doc into a new RAM based index in the test would prove it.
You are more likely to get help if post a self-contained example -
people can see everything relevant and
Hmm...
So, I was going on this output from your CheckIndex:
test: field norms.OK [296713 fields]
But in fact I just looked and that number is bogus -- it's always
equal to total number of fields, not number of fields with norms
enabled. I'll open an issue to fix this, but in the mean
While most of our Lucene indexes are used for more traditional searching, this
index in particular is used more like a reporting repository. Thus, we really
do need to have that many fields indexed and they do need to be broken out into
separate fields. There may be another way to structure the
thanks !
2010/11/5 Uwe Schindler
> Hi Celso,
>
> just a note, your code makes no sense:
>
> In the constructor of QueryParser you have to give the default field, e.g.
> "content" only - With parse() you have to give the query string (which can
> contain a field name or not): "computer" or altern
Hi Celso,
just a note, your code makes no sense:
In the constructor of QueryParser you have to give the default field, e.g.
"content" only - With parse() you have to give the query string (which can
contain a field name or not): "computer" or alternatively "content:computer"
(which returns equal
Thanks Uwe, its works with:
QueryParser parser = new QueryParser(Version.LUCENE_30,
"content:computer", analyzer);
Query query = parser.parse("content:computer");
But, if i need get results like google in a query like "What is the
role of PrnP in mad cow disease?"
Thanks
Why do you use such complicated stuff to build the BQ?
Term term1 = new Term(LuceneIndexField.SCALE, "1");
Term term2 = new Term(LuceneIndexField.SCALE, "5");
BooleanQuery bq = new BooleanQuery();
bq.add(new RangeQuery(term1, term1, true), BooleanClause.Occur.SHOULD);
bq.add(new RangeQuer
You can use a query parser to parse your text query into the appropriate query
objects.
-Original Message-
From: Alain Camus [mailto:a...@ngi.be]
Sent: Friday, November 5, 2010 11:26 AM
To: java-user@lucene.apache.org
Subject: RangeQuery with multiple ranges ?
Hello list,
I'm new to l
Hello list,
I'm new to lucene, trying to find out if this is possible :
In Luke, I can write a query that gets me the results I want, that is :
+denominator:([1 TO 1] OR [2 TO 2])
I'd like to write the same in java. I tried the next code but it doesn't work :
BooleanClause.O
HI Mike,
I implemented MoreLikeThis but I couldn't figure out where or how to print
the related term to the given query. All what I got is the relevant
documents to the query with their scores.
Any idea how to get the related terms?
--
View this message in context:
http://lucene.472066.n3.nab
thanks !
With your fast response we've been able to get it to work.
Kind regards
Heikki Doeleman
On Thu, Nov 4, 2010 at 11:01 AM, Uwe Schindler wrote:
> The problem with your implementatio n of reuseableTokenStream is that it
> does not set a new reader when it reuses. Reset() is the wrong m
Hi,
I did as it is explained in the website:
final Set terms = new HashSet();
query = searcher.rewrite(query);
query.extractTerms(terms);
for(Term t : terms){
int frequency = searcher.docFreq(t);
}
however I can't understa
Maybe MoreLikeThisQuery (under contrib/queries) will do what you want?
Mike
On Fri, Nov 5, 2010 at 3:33 AM, starz10de wrote:
>
> Hi,
>
> I need to expand the query with the most terms occurred with it in
> documents. For example: the word credits, tax, withdraw have high appearing
> with Bank.
It's there:
http://lucene.apache.org/java/3_0_2/api/core/org/apache/lucene/search/Query.
html#extractTerms(java.util.Set)
-
Uwe Schindler
H.-H.-Meier-Allee 63, D-28213 Bremen
http://www.thetaphi.de
eMail: u...@thetaphi.de
> -Original Message-
> From: starz10de [mailto:farag_ah...@y
HI Chris,
I tried your solution and got one problem "the method
extractterms(Set) is undefined for the type Query"
this is the ocde:
Query query = QueryParser.parse(line, "contents", analyzer);
//System.out.println("Searching for: " + query.toString("contents"));
Hits hits = s
The default field of query parser is wrong:
QueryParser parser = new QueryParser(Version.LUCENE_30, "computer",
analyzer);
You haven't indexed a field with name "computer". Your query string does not
override the field, so your query is in fact "computer:computer".
A note: It is not recommended t
Hi,
I need to expand the query with the most terms occurred with it in
documents. For example: the word credits, tax, withdraw have high appearing
with Bank. So my query is “Bank” and the result should be ranked list of the
most frequent terms with "Bank"
I could do that as I explained but not
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