Hi,
I am using Lucene 2.9.4 with FSDirectory.
My index has 80 thousand documents (each document has 12 fields).
My jvm has 70Mb of RAM memory (limited by my hosting).
I am getting various OutOfMemoryError.
I ran jmap and I got:
num #instances #bytes Class description
-
Hi,
I am using Lucene 2.9.4 with FSDirectory.
My index has 80 thousand documents (each document has 12 fields).
My jvm has 70Mb of RAM memory (limited by my hosting).
I am getting various OutOfMemoryError.
I ran jmap and I got:
num #instances #bytes Class description
-
Hi,
I am using Lucene 2.9.4 with FSDirectory.
My index has 80 thousand documents (each document has 12 fields).
My jvm has 70Mb of RAM memory (limited by my hosting).
I am getting various OutOfMemoryError.
I ran jmap and I got:
num #instances #bytes Class description
-
this is the more important part), various
caches are used to speed up searches. A substantial part of
your index may be held in memory at various points.
70M just isn't very much memory, I think you'll have to get
more if at all possible.
Best
Erick
On Mon, Apr 4, 2011 at 7:13 AM,
Hi,
I am using Lucene 2.9.4 with FSDirectory.
My index has 80 thousand documents (each document has 12 fields).
My jvm has 70Mb of RAM memory (limited by my hosting).
I am getting various OutOfMemoryError.
I ran jmap and I got:
num #instances#bytesClass description
of the term frequencies of document i;
Q = vector of the term frequencies of the Query;
* = scalar product;
|| = norm of the vector (the square root of the sum of the squares
of the entries of the vector).
I wasn't able to find a way to evaluate |D_i|.
Thank you
Cl
I would like to know if there is a simple way to force Lucene to adopt the
simple cosine similarity of the term frequency vectors of the documents and
the query for ranking the result.
Thank you
Claudio
-
To unsubscribe, e
frequencies.
Claudio
-Messaggio originale-
Da: Grant Ingersoll [mailto:gsing...@apache.org]
Inviato: lunedì 10 agosto 2009 15.18
A: java-user@lucene.apache.org
Oggetto: Re: sumOfSquaredWeights for lengthNorm
You can override the Similarity class and set it on both the
IndexWriter and the
re spans, but at the same time it have to support the "near"
queries.
Thank you!
--
Claudio Corsi
-
To unsubscribe, e-mail: [EMAIL PROTECTED]
For additional commands, e-mail: [EMAIL PROTECTED]