Hi,
what kind of fields loads IndexSearcher.Document doc(int i)? Only those with
Field.Store.YES?
I'm asking because I do not need to load the tokens - should I use a
FieldSelector or are these fields not loaded?
Thank you
-
To
On Feb 16, 2009, at 7:00 AM, wrote:
Hi,
what kind of fields loads IndexSearcher.Document doc(int i)? Only
those with
Field.Store.YES?
Yes, Lucene can only load those fields that are stored.
I'm asking because I do not need to load the tokens - should I use a
FieldSelector or are thes
Depending upon the structure of your index, FieldSelector can
make a dramatic difference in your query speed. I wrote up
some data peculiar to my setup, I think if you search FieldSelector
on the Wiki you can find it.
Best
Erick
On Mon, Feb 16, 2009 at 7:00 AM, wrote:
> Hi,
>
> what kind of fie
Hi,
I have a RAMDirectory based index. The document source for the index is
a database table, where content to be indexed is stored alongside a
status (pending_index, indexed, pending_delete, deleted). Each time the
application is started, and periodically thereafter, all documents from
the databa
WARNING: I haven't had occasion to use the Directory.copy
method, so I'm talking a bit theoretically here.
I guess my main issue with your scheme is the usual
abnormal termination issues and how you can be absolutely
sure boust what's in your FSDir. So I guess what I'd
do is create some kind
Ian Vink wrote:
Thanks Mark,
I got the latest Contrib bits for Highlighter.net (Jan 28/2008 Version
2.3.2) but it looks similar to the older 2.0.0
There is a QueryScroer only.
Any ideas? (Really important to me :)
Ian
I'll send out an email and see if I can get my hands on the C# port a
Hi,
I have a number of documents that each relate to a client. I would like to
use an index and queries to answer two question:
- Find relevant documents
- Find relevant clients
The first one is straight forward.
For the second one, I am wondering. Should I iterate over the hits and
compute the
Hi
I am looking at building a faceted search using Lucene. I know that Solr
comes with this built in, however I would like to try this by myself
(something to add to my CV!). I have been looking around and I found that
you can use the IndexReader and use TermVectors. This looks ok but I'm not
su
VTD-XML 2.5 is now released. Please go to
https://sourceforge.net/project/showfiles.php?group_id=110612&package_id=120172&release_id=661376
to download the latest version.
Changes from Version 2.4 (2/2009)
* Added separate VTD indexing generating and loading (see
http://vtd-xml.sf.net/persi
What constitutes a "relevant client"? If you want
to restrict the returned documents to a particular client
(or even a set of clients) a simple +client:
would do the trick.
Or you could create a Filter for "relevant clients".
If neither of these helps, could you clarify your
definition of a r
On Feb 11, 2009, at 1:05 PM, Mandy Günther wrote:
Hi all,
I want to use Lucene in my project but I have the following problem:
My goal is to store metadata in the index.
Her is an example of the stuff I need to index
1; My; determiner;
2; project; noun; 1
3; uses; verb;
We have our own Analyzer which has the following
Public final TokenStream tokenStream(String fieldname, Reader reader) {
TokenStream result = new StandardTokenizer(reader);
result = new StandardFilter(result);
result = new MyAccentFilter(result);
result = new LowerCaseFilter(result)
Hmmm, you might be able to do the following:
Create a document in a memory index containing the web page
Create a query from the keywords
Do a search with the query against the memory index and see the score.
Alternatively, you could use the corpus statistics plus to create a
term vector from
Hi,
I am creating a tracker for web applications. I am indexing all the
user credentials while they are logging .
The problem is , user might be hit the same web page many times
during the action period .
So my tracker application is indexing the same value for several
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