AHA! That is consistent with what is happening now, and explains the
discrepancy.
The original post of parens around each term was because I was adding
them as separate boolean queries, but now with using just the clause the
parens is around the entire clause with the boost.
-Original
Hi All,
I am going to create a Lucene Index Store of Size 300 GB per month.I
read Lucene Index Performance tips in wiki.can anyone suggest what are all
the steps need to be followed while dealing with big Indexes.My Index Store
gets updated every second.I used to search 15 days records
On Fri, 2008-03-07 at 15:38 +0100, [EMAIL PROTECTED] wrote:
With a commit after every add: (286 sec / 10,000 docs) 28.6 ms.
With a commit after every 100 add: (12 sec / 10,000 docs) 1.2 ms.
Only one commit: (8 sec / 10,000 docs) 0.8 ms.
Of couse. If you need so less time to create a
Hi all,
I'm looking for the best way to inflate a query, so a query like: synchronous
AND colour -- will become something like this:
(synchronous OR asynchronous OR bsynchornous OR synchronos OR asynchronos OR
bsynchornos) AND (colour OR acolour OR bcolour OR color OR acolor OR bcolor).
I'm
https://admin.garambrogne.net/projets/revuedepresse/browser/trunk/src/java/lexicon/src/java/org/apache/lucene/lexicon/QueryUtils.java
M.
Itamar Syn-Hershko a écrit :
Hi all,
I'm looking for the best way to inflate a query, so a query like: synchronous AND colour -- will become something like
Hi, I have written a TokenFilter which breaks up words with internal dot
characters and adds the whole word plus the pieces as tokens in the stream. I
am using that TokenFilter with the StandardAnalyzer to index my documents. Then
I do searches using the StandardAnalyzer. Everything is working
Hi,
I have some question about the index size on a single machine:
What is your biggest index you use in production?
Do you use MultiReader/Searcher?
What hardware do you need to serve it?
What kind of application is it?
Thank you.
: the analysis section. (Basically writing a custom analyzer that introduces a
: position increment gap between phrases) I am however curious if an example of
: a usage like that exists somewhere that I could use as a basis for the
: analyzer that I'm going to have to write to handle this case.
What's the CPU usage and MEM usage when doing With a commit after every 100
add vs. Only one commit ?
2008/3/10, Toke Eskildsen [EMAIL PROTECTED]:
On Fri, 2008-03-07 at 15:38 +0100, [EMAIL PROTECTED] wrote:
With a commit after every add: (286 sec / 10,000 docs) 28.6 ms.
With a commit
Hi all.
We're using the document ID to associate extra information stored outside
Lucene. Some of this information is being stored at load-time and some
afterwards; later on it turns out the information stored at load-time is
returning the wrong results when converting the database contents
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