"SK R" <[EMAIL PROTECTED]> wrote:
> Hi,
> Thanks for this valuable informations.
> I'm using Lucene2.1 now. Do I need to apply the patch "LUCENE-843"
> with
> existing one or i have to move the latest?
It's probably best to use a nightly build JAR of Lucene to play with
LUCENE-843.
Hi,
Thanks for this valuable informations.
I'm using Lucene2.1 now. Do I need to apply the patch "LUCENE-843" with
existing one or i have to move the latest? Do i need to use flushByRam
instead of flushbydoc to work with this patch?
Regards
RSK
On 8/7/07, Michael McCandless <[EMAIL PROT
"Mike Klaas" <[EMAIL PROTECTED]> wrote:
> > On 8/6/07, testn <[EMAIL PROTECTED]> wrote:
> >>
> >> 2. To improve indexing speed, you can consider using the trunk
> >> code which
> >> includes LUCENE-843. The indexing speed will be faster by almost
> >> an order of
> >> magnitude.
>
> While a
On 6-Aug-07, at 5:49 PM, Chris Lu wrote:
Seems this issue,LUCENE-834, is about query payload
https://issues.apache.org/jira/browse/LUCENE-834
Can it help on indexing speed?
That should be:
https://issues.apache.org/jira/browse/LUCENE-843
On 8/6/07, testn <[EMAIL PROTECTED]> wrote:
2.
Seems this issue,LUCENE-834, is about query payload
https://issues.apache.org/jira/browse/LUCENE-834
Can it help on indexing speed?
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Luc
1. If you only search on docId field only, database might be a better
solution in this case.
2. To improve indexing speed, you can consider using the trunk code which
includes LUCENE-834. The indexing speed will be faster by almost an order of
magnitude.
SK R wrote:
>
> Hi,
> I have indexed
Try going through:
http://wiki.apache.org/lucene-java/ImproveIndexingSpeed
Regards,
kapilChhabra
-Original Message-
From: SK R [mailto:[EMAIL PROTECTED]
Sent: Monday, August 06, 2007 5:09 PM
To: java-user@lucene.apache.org
Subject: speedup indexing
Hi,
I have indexed 5 fields and s
After indexing is done, you can copy the index files and merge them to
one large index. Or you can maintain several small indexes and search
across indexes.
Aviran
http://www.aviransplace.com
-Original Message-
From: Java Programmer [mailto:[EMAIL PROTECTED]
Sent: Friday, February 17, 2
Java Programmer wrote:
Hi,
Maybe this question is trivial but I need to ask it. I've some problem with
indexing large number of documents, and I seek for better solution.
Task is to index about 33GB text data CSV (each record about 30kB), it
possible of course to index these data but I'm not ver
