: I guess I could use TermEnum to do a binary search until I get a hit but
: this seems a bit kludgy.
min is easy, it's the first term in the enum.
max ... well, the simplest way i can think of to find the max of a string
field is to use a StringIndex, something like...
String[] s = FieldCach
Is it possible to find the minimum and maximum values for a date field
with a given reader?
I guess I could use TermEnum to do a binary search until I get a hit but
this seems a bit kludgy.
Thoughts?
I don't see any APIs for doing this and a google/grep of the source
doesn't help
Kevin
-
I have a similar problem, for which ParallelReader looks like a good
solution -- except for the problem of creating a set of indices with
matching document numbers.
I have wondered about this as well. Are there any *sure fire* ways of
creating (and updating) two indices so that doc numbers in
On Monday 30 May 2005 22:57, Andrew Boyd wrote:
> In trunck/java I've built ant compile-core
Just calling "ant" (in the top-level directory) without any options should
build this file:
build/lucene-core-1.9-rc1-dev.jar
--
http://www.danielnaber.de
-
In trunck/java I've built ant compile-core
changing to trunck/java/contrib the only target is build-tree
but I get a lot of compiler errors such as package org.apache.lucene.analysis
does not exist.
Anyone know what I'm doing wrong?
Thanks,
Andrew
---
Hello,
I have a similar problem, for which ParallelReader looks like a good
solution -- except for the problem of creating a set of indices with
matching document numbers.
I want to augment the documents in an existing index with information
that can be extracted from the same index. (Basically,
Ok, so more than one keyword can be stored in a keyword field. Interesting!
Thanks,
Doug
-Original Message-
From: Erik Hatcher [mailto:[EMAIL PROTECTED]
Sent: Monday, May 30, 2005 3:39 PM
To: java-user@lucene.apache.org
Subject: Re: Indexing multiple keywords in one field?
On May 3
Ok, so more than one keyword can be stored in a keyword field. Interesting!
Thanks,
Doug
-Original Message-
From: Erik Hatcher [mailto:[EMAIL PROTECTED]
Sent: Monday, May 30, 2005 3:39 PM
To: java-user@lucene.apache.org
Subject: Re: Indexing multiple keywords in one field?
On May 3
On May 30, 2005, at 2:06 PM, Doug Hughes wrote:
Hoss,
I see what you're saying, but that seems primarily beneficial when
you know
the structure and size of your data ahead of time. For instance,
any of the
HTML documents I'm indexing can have any number of links, from 0 to
100,
realist
Hi,
I indexed 20 documents. I want to evaluate my lucene index. That's why I
extract all term with their frequencies in each document.
This code has helped a lot.
-
try
{
TermEnum terms = indexReader.terms(new Term("content", ""));
Hi,
I indexed 20 documents. I want to evaluate my lucene index. That's why I
extract all term with their frequencies in each document.
This code has helped a lot.
-
try
{
TermEnum terms = indexReader.terms(new Term("content", ""));
Hoss,
I see what you're saying, but that seems primarily beneficial when you know
the structure and size of your data ahead of time. For instance, any of the
HTML documents I'm indexing can have any number of links, from 0 to 100,
realistically. If I place each of those links in separate keywo
Hoss,
I see what you're saying, but that seems primarily beneficial when you know
the structure and size of your data ahead of time. For instance, any of the
HTML documents I'm indexing can have any number of links, from 0 to 100,
realistically. If I place each of those links in separate keywo
Hi all,
Those of you who have read and responded to my recent posts know
that we are working on highlighting the entire document after a search.
(Not fragments in a results list.)
It appears that one of the key tools to assist with this is the ability of
Lucene to store file offsets of terms as
Hi All,
Now that the QueryParser knows about position increments has anyone used this
to do stemming at query time
and not at indexing time? I suppose one would need a reverse stemmer. Given
the query breath it would need to inject breathe, breathes, breathing etc.
One benifit is that if you
How would one go about adding additional terms to a field which is not
stored literally, but instead has a termFreqVector? For example:
If DocumentA was indexed originally with:
myTermField: red green blue
termFreqVector would look like:
freq {myTermField: red/1, green/1, blue/1}
Now,
On 5/30/05, Robichaud, Jean-Philippe
<[EMAIL PROTECTED]> wrote:
> What about:
> http://svn.apache.org/viewcvs.cgi/lucene/java/trunk/src/java/org/apache/luce
> ne/index/ParallelReader.java?rev=169859&view=markup
Thank you, this seems to be exactly what I am looking for.
One thing I don't quiet und
What about:
http://svn.apache.org/viewcvs.cgi/lucene/java/trunk/src/java/org/apache/luce
ne/index/ParallelReader.java?rev=169859&view=markup
Jp
-Original Message-
From: Bruce Ritchie [mailto:[EMAIL PROTECTED]
Sent: Monday, May 30, 2005 11:26 AM
To: java-user@lucene.apache.org
Subject: RE:
Markus,
> I am working on a Document Management System where every
> document has an Access Control List attached to it. Obviously
> a search result should only consist of documents that may be
> viewed by the currently logged in user.
>
> I can think of three strategies to accomplish this goa
Hi All,
By using the carrot demo:
http://www.newsarch.com/archive/mailinglist/jakarta/lucene/user/msg03928.html
I was able to easliy cluster search results based on the fields used by
carrot( url, title, and summary).
However I was wondering if there was a way to do something similar using t
Hi!
I've got exactly the same problem. Maybe it is possible to extend the
previously discussed patch to fragment the fields of one document into separate
files to actually allow updating only one fragment? Then, updating frequently
changing fields (like ACLs or other meta data, maybe even a Pag
I am working on a Document Management System where every document has
an Access Control List attached to it. Obviously a search result
should only consist of documents that may be viewed by the currently
logged in user.
I can think of three strategies to accomplish this goal:
1) using Filter and
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