Nothing like this yet. But you don't need to do everything in one search
request.
You can send one search request to know that the match distribution for
each document type, and then send 3 requests for 3 document types each.
--
Chris Lu
-
Instant Scalable Full
Can you index the rule1 and rule2 fields into the documents, and when
searching with the keywords, also append rule1:foo and rule2:bar to the
query?
Chris
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbs
If you are using field cache for field A, and updating field A, isn't it
normal that the field A is not updated?
Field cache is keyed via index reader, it won't be efficient to reload
the field cache for each updateDocument().
--
Chris Lu
-
Instant Scalable
documents are added, the id is N+1.
Of course, if some documents from other segments are merged. The
documents in one segment will "lose" its doc id.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
several boxes and achieve
sharded search.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?title
-time data import. Or you would have to put a hook in
your program to write new content to the index. Anyway, you can get it
work, but maybe not as simple as you expected.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
uld need a mechanism to get prepared and rebuild
the index when you need to.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com
ot;category_2", take doc5 and doc10 for example, after all the reindexing
effort, the only changes is:
"category_1": doc1,doc2.
"category_2": doc3,doc4,doc5,doc7,doc8,doc10.
Of course, to support this efficiently could be a big change, affecting all
the nice
more flexible with the structure, even dealing
with data beyond Atlassian products.
I guess that's the reason Google did not rely on each website's own search
mechanism.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.d
Lucene does not support database directly. You need to pump data into
Lucene.
You can use DBSight, which has a built-in high performance crawler for any
databases.
It also has integrated Chinese analyzers, including IKAnalyzer, which is the
best one I found so far.
--
Chris Lu
After you get the query object, you can use IndexSearcher's function
docFreq(), like this
final Set terms = new HashSet();
query = searcher.rewrite(query);
query.extractTerms(terms);
for(Term t : terms){
int frequency = irs.getSearcher().docFreq(t);
}
--
--
Chr
After you get the query object, you can use IndexSearcher's function
docFreq(), like this
final Set terms = new HashSet();
query = searcher.rewrite(query);
query.extractTerms(terms);
for(Term t : terms){
int frequency = searcher.docFreq(t);
}
--
--
Chris Lu
-
In
You can use DBSight for database search. You just need to give it one or
several SQLs. And you can generate search result template, and it will manage
the index for you.
http://www.dbsight.net
--
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database
does, this means
the NY index could return results not found in NY database, correct?
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http
p and running in
several minutes.
You can even embed a widget to put search UI to any page.
btw, DBSight also has facet search.
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database S
You need to analyze the search keyword with the same analyzer that's applied
on the "content" field.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Datab
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?title=Create_Lucene_Database_Search_in_3_minutes
DBSight customer, a
Is it possible to query for documents that have empty values for a field?
Say need to find documents with category empty, I tried negative query:
-category:*
But it returns 0 document. I think "category:*" is basically match all, so
this "-category:*" doesn't wor
Thanks Erick for reminding me of this!
I only need to validate a index and make sure the content are correctly
retrieved and index doesn't have empty fields.
So I'd better simply go through all document by id and check them directly.
Thanks!
--
Chris Lu
---
term there. then all
the unset bits are documents with empty fields.
This should be kind of efficient.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes
$CSIndexInput
|- input of org.apache.lucene.index.SegmentTermEnum
|- value of java.lang.ThreadLocal$ThreadLocalMap$Entry
I am trying to track it down now. If anyone knows about it, please let me
know.
--
Chris Lu
-
Instant Scalable Full-Text
lieve this will affect disk based
index also.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index
If you want to do it in just one search, yes, you have to put the Entities
attributes into the documents.
But you can search twice. The second time using values from the first
search, say entitiy_id, to search the products.
--
Chris Lu
-
Instant Scalable Full-Text Search
problem is fixed.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?title=Create_Lucene_Database_Search_in_3_minutes
a-dev @lucene.apache.org mailing list.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?
ce for him, and thanks Michael McCandless for fixing the
problem s quickly.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsig
Can you try to update to the latest Lucene svn version, like yesterday?
LUCENE-1383 was checked in yesterday. This patch is addressing a leak
problem particular to J2EE applications.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http
e of the search result,
just use database later on. But this isn't always correct. When you have 10
result per page, selecting the details from the database based on ids may
not be that costly at all.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Ap
BTW: JIRA is great!
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?title=Create_Lucene_Database_Search_in_3_
approach may not be that bad, although less
performant.
2. You will need to create a little query parser to distribute words
into two fields.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.db
Calculation looks right. But what's the "Index divisor" that you mentioned?
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in
So looks like you are not really doing much sorting? This index divisor
affects reader.terms(), but not too much with sorting.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene
all contents are flushed to disk yet.
Is it possible to query the not-yet-closed index?
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http
Otis, thanks for the pointer.
I think the question can be:
How to access TermEnum or TermInfos during indexing.
If this is possible, things would be easier.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo
er to look it up. But it doesn't feel right.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index
You need to let us know the analyzer you are using.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?title
Basically Lucene stores analyzed tokens, and looks up for the matches based
on the tokens.
"Amin" after StandardAnalyzer is "amin", so you need to use new Term("body",
"amin"), instead of new Term("body", "Amin"), to search.
--
Chris Lu
This is not a lucene question, but a jdbc question.
The code is not releasing the jdbc connection, statement, and resultset, and
what's worse, the code is creating new connections when paginating the
results.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Dat
To avoid creating a lot of objects and quickly throwing them away, you can
adjust Eden memory size, or you can create a bunch of objects and try to
re-use them.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo:
eally, especially your QPS is not
so demanding.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?
I think you would need to
1) collect all the matching IDs for Field2=x
2) loop through Field1, for each Term's doc, collect the term if the term
doc is in the matching IDs from step 1.
This should be the fastest approach, pretty similar to what you suggested.
--
Chr
I feel this may not be a good example. Since you can easily index field c,
a, d and let Lucene to handle the filter "c = 'foo'" and the order by
clause"order by a desc, d"
--
Chris Lu
-
Instant Scalable Full-Text Search On Any D
Actually you can use DBSight(disclaimer:I work on it) to collect the data
and keep them in sync.
The free version has most the features and doesn't have size limit.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsigh
y, ranking, etc.
I think you better try it first. It's faster to install it, select the
content with your sql, and get the search up and running, than reading
introduction materials.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://
belongs to, including the sub groups.
Approach 2 should be more flexible. I don't think a user will have that many
groups exceeding the default 1024.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://sea
Allahbaksh,
If you ONLY want to find all document with a particular field that is
not null, you can loop through the TermEnum and TermDocs to find all the
document ids.
But this can not easily be combined with other queries.
--
Chris Lu
-
Instant Scalable Full-Text
Maybe you can adjust your ranking algorithm. For example, rank the most
recent results higher?
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes
re not sure the proper index structure yet.
I think you can use DBSight Free version, to rapidly prototype and
experiment with all these choices, without coding any XML etc.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.d
Marcel,
First of all, do you really want the user to search price:19.99 ?
Maybe you should use some logic like price>=19.99?
If so, you should use range query to handle this case.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: h
kranthi,
Maybe you should use DBSight Lite to get started and get familiar with
Lucene features.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: _http://www.dbsight.net_ <http://www.dbsight.net/>
demo: _http://search.dbsight.com_
could be a good solution for small index with per-user data.
3) For large changing indexes, you need to find other solutions to
maintain lucene index.
My personal opinion is, finding a $20/month VPS hosting is far easier
than changing the way to code.
--
Chris Lu
-
I
little Lucene specific
configuration and some ready-to-use scaffolding.
Compared to SOLR, DBSight's design is more like ruby-on-rails rather
than a common web application.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site:
,value2}?
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?title=Create_Lucene_Database_Search_in_3_minutes
DBSight
That's great and thanks for the super fast answer!
Another question if not thread-hijacking:
Will the ordering of fields be preserved also?
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo:
, and you
can adjust the number of threads for database queries and also for
indexing to find out your optimal data pulling configuration.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo:
Pretty sure you can delete the small indexes after the merge.
BTW: How long does your indexing and merging take respectively?
--
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?title=Create_Lucene_Database_Search_in_3_minutes
DBSight customer
Isn't the tag cloud just another facet search? Only difference is the
tag is multi-valued.
Basically just go through the search results and find all unique tag values.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site:
eally have cared about the
frequency in the search results?
DBSight uses the multi-valued facet search approach to do tag cloud.
Maybe I can "cheat" it this way also... It does save some memory.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Datab
e for quick
data access. For your exact matching, it may not help much.
Creating and maintaining Lucene index is surely more coding than create
a database index though.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
So will I need to use 2 fields, one filed is analyzed and the other
field is binary, to replace one compressed fields previously?
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
What we did in DBSight is to provide a reserved list of words for every
Lucene Analyzer.
This way you can handle any special characters like C++ and C#.
Any common analyzers usually are not suitable for these special words.
--
Chris Lu
-
Instant Scalable Full-Text
Just curious, will it be adjusted during indexing when merging segments?
Thanks!
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http
Seems a integer overflow problem?
java.lang.IllegalArgumentException: Increment must be zero or greater:
-472893952
at
org.apache.lucene.analysis.tokenattributes.PositionIncrementAttributeImpl.setPositionIncrement(PositionIncrementAttributeImpl.java:58)
at
org.apache.lucene.analysis.StopFilt
Notes: I am using Lucene 3.0
Seems a integer overflow problem?
java.lang.IllegalArgumentException: Increment must be zero or greater:
-472893952
at
org.apache.lucene.analysis.tokenattributes.PositionIncrementAttributeImpl.setPositionIncrement(PositionIncrementAttributeImpl.java:58)
at
org
tokenstream, it
is really never reset even across multiple documents). So whenever a stopword
occurs it get larger...
-
Uwe Schindler
H.-H.-Meier-Allee 63, D-28213 Bremen
http://www.thetaphi.de
eMail: u...@thetaphi.de
-Original Message-
From: Chris Lu [mailto:chris...@gmail.com
iliary data structure. It's only fast in one way, but
could be slow in other ways.
3) The more robust approach is to pull data out of database, and create
a Lucene index. In case something goes wrong, you can always pull data
out again and create the index again.
--
Chris Lu
--
Think from another approach: You can check whether the index exists or
not by IndexReader.*indexExists
<../../../../org/apache/lucene/index/IndexReader.html#indexExists%28java.io.File%29>*(),
and then determine what you want to do with the IndexWriter constructor.
--
--
Ch
For blob, it is not so simple since BLOB could contain different file
types, like HTML, pdf, word, zip file type.
So besides getting results out via resultSet.getBlob() function, you
will need to convert the binary stream into simple text strings.
DBSight free version already can read the blog
Since you already have RMI interface, maybe you can parallel search on
several nodes, collect the data, pick top ones, and send back results
via RMI.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http
XMLQueryParser is pretty good start. However, is it being maintained
recently?
I noticed many Query class are not supported, like PrefixQuery, or even
PhraseQuery.
Is it for some particular reason or simply lack of resource?
--
Chris Lu
-
Instant Scalable Full-Text
otocol buffer?
Hopefully I only need to serialize it via query.toXML() or
query.toBytes() and the parser can recognize the serialized forms.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search
PHP doesn't have java like "static" variables, right? They are "stateless".
All the information like term info that's loaded in the memory will be
gone for the next search.
You should use DBSight if you just have one week.
--
Chris Lu
--
This should be a common wildcard query highlighting problem.
You will need to query.rewrite() first, and pass the result to the
highlighter.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http
2 features: Search and serializeable Query class in java
serializable object format, or XML, or json format.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database
To my experience, some customers used SAN to store the index. It's
pretty good and fast. This may be a good choice for you, but it's costly.
--
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
Hi, Michel,
This has already been implemented in DBSight. Check it out!
http://www.dbsight.net
You can get sum, avg for Facet searches. And count is included in Facet
search directly.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site
ly? It doesn't seem to be an opensource project so
I can't really consider it.
- Mike
aka...@gmail.com
On Thu, Apr 1, 2010 at 5:00 AM, Chris Lu wrote:
Hi, Michel,
This has already been implemented in DBSight. Check it out!
http://www.dbsight.net
You can get sum, avg for Facet
ching.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?title=Create_Lucene_Database_Search_in_3_minutes
DBSight custom
For DBSight, the aggregated values are computed during run time.
And the sorting on the computed aggregated values are done when
displaying the results.
The idea is, after the aggregation, the number of aggregated values are
much much smaller.
--
Chris Lu
-
Instant
of rows are not really "that" big when everything is properly
warmed up.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.db
subReaders);
}
However, segmentInfos are used in several places, causing NPEs.
For example, in IndexReader.acquireWriteLock(),
if (SegmentInfos.readCurrentVersion(directory) >
segmentInfos.getVersion())
{
So I think MultiReader.java need some adjustments.
--
Chris Lu
Right now I am very confused.
I agree segmentInfos are not needed in this case. But it's used in
aquireWriteLock(). What should we do?
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsigh
ensure no service down
time.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?title
Index Partitioning should be a good idea.
It'll save a lot of time on index merging, incremental indexing.
Just my experience, partition size really depends on CPU, hard disk speed,
and memory size. Nowadays with Core 2 Duo, 10G size for each chunk should be
good.
--
Chr
The easiest solution would be to change the SQL to
select Bar as Foo, ..., from your_table
Use an alias and maintain everything as before.
If it's not a solution, you may need to re-index everything.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Dat
dedicated server for
indexing and searching.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?title
.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?title=Create_Lucene_Database_Search_in_3_minutes
On 8/31/07, Berlin
rendering speed comparing to retrieve the rest data from
database.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?title
Is it repeatable? Maybe the database is slower during that time.
Myself didn't any major slowness when upgrading to Lucene 2.2.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
L
Hi, Devinder,
Lucene is agnostic of any database configuration. You need to pull data via
jdbc out, and feed it to Lucene to create an index file, and then use Lucene
API to search on it.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site
Hi, Joaquin,
Very interested to know the indexing performance inside Oracle JVM,
especially with large amount of data.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database
riables to fit your specific setup.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index
I have used Lucene on SAN in a federal project, works out great. It supports
search clustering, where several other servers search on the shared index
which is produced by another server. Only need to refresh the other
searching servers' IndexSearcher after indexing is done.
--
Chr
No experience on this. But there are two points I can think of:
1) you can use compressed field to store the text
2) use the hash code of the path as the key
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo
To my experience from a project, using software DBSight, Lucene runs well on
a SAN environment.
No experience of a NFS, but I know many indexing errors caused by NFS. Maybe
the new index delete policy helps in latest version of Lucene.
--
Chris Lu
-
Instant Scalable Full
http://lucene.apache.org/java/2_2_0/api/org/apache/lucene/index/IndexDeletionPolicy.html
This only works for Lucene 2.2 and later, not available if you need to used
Lucene 2.0.
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Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http
Why not index their database directly?
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Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?title
time to parse
out the data.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?
Hi, Jan,
You really need to be more specific about your configuration and error log.
Lucene surely has been used on many large websites.
--
Chris Lu
-
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http
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