Compass Framework

2006-04-08 Thread Marios Skounakis



Hi all,

I recently came across the Compass Framework, which is built on top of lucene. I
am interested in it because it stores the lucene index in an RDBMS and provides
transaction support for index updates (it also has several other features but
this is the part I'm mostly interested in).

I wanted to know if any people here have had any experience with compass and 
what
they think about it. Is the database implementation of the index fast enough and
does it introduce any additional issues/problems?

Thanks in advance,
Marios
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Re: Compass Framework

2006-04-08 Thread Raghavendra Prabhu
Database implementation of the index is always bound to be slow compared to
storing it on the filesystem.

Probably the group which stores indexes into Berkley DB should be able to
give you a performance measuer of what will happen you store indexex in
databases.

Rgds
Prabhu


On 4/8/06, Marios Skounakis [EMAIL PROTECTED] wrote:




 Hi all,

 I recently came across the Compass Framework, which is built on top of
 lucene. I
 am interested in it because it stores the lucene index in an RDBMS and
 provides
 transaction support for index updates (it also has several other features
 but
 this is the part I'm mostly interested in).

 I wanted to know if any people here have had any experience with compass
 and what
 they think about it. Is the database implementation of the index fast
 enough and
 does it introduce any additional issues/problems?

 Thanks in advance,
 Marios
  Msg sent via eXis webmail

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 To unsubscribe, e-mail: [EMAIL PROTECTED]
 For additional commands, e-mail: [EMAIL PROTECTED]




Re: Compass Framework

2006-04-08 Thread Chris Lu
As far as I know, Compass Framework does not store index into
database. It just index data when data pass Hibernate, iBatis, or
other layer.

So if you use these layers in your code, you can use Compass.

Chris Lu
--
Full-Text Lucene Search on Any Databases
http://www.dbsight.net
Faster to setup than reading marketing materials!

On 4/8/06, Raghavendra Prabhu [EMAIL PROTECTED] wrote:
 Database implementation of the index is always bound to be slow compared to
 storing it on the filesystem.

 Probably the group which stores indexes into Berkley DB should be able to
 give you a performance measuer of what will happen you store indexex in
 databases.

 Rgds
 Prabhu


 On 4/8/06, Marios Skounakis [EMAIL PROTECTED] wrote:
 
 
 
 
  Hi all,
 
  I recently came across the Compass Framework, which is built on top of
  lucene. I
  am interested in it because it stores the lucene index in an RDBMS and
  provides
  transaction support for index updates (it also has several other features
  but
  this is the part I'm mostly interested in).
 
  I wanted to know if any people here have had any experience with compass
  and what
  they think about it. Is the database implementation of the index fast
  enough and
  does it introduce any additional issues/problems?
 
  Thanks in advance,
  Marios
   Msg sent via eXis webmail
 
  -
  To unsubscribe, e-mail: [EMAIL PROTECTED]
  For additional commands, e-mail: [EMAIL PROTECTED]
 
 



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Compass Framework 0.8 + Jdbc Lucene Directory

2006-01-08 Thread Shay Banon
We are pleased to announce the 0.8.0 release of Compass Framework - A 
Java Search Engine Framework based on Lucene.


Major feature of this release is the ability to store Lucene index 
within a database. The feature has two parts: A complete Lucene Jdbc 
Directory implementation which is separated from any Compass related 
code (currently part of the compass-core module and jar), allowing using 
it in pure Lucene implementations. The Lucene Jdbc Directory comes with 
documentation as an Appendix in Compass documentation 
(http://static.compassframework.org/docs/latest/jdbcdirectory.html). The 
second part is the integration of Jdbc Directory with Compass Framework, 
allowing existing compass code to work as is, requiring changes to 
configuration settings only. The integration includes several Data 
Source Providers (Dbcp, c3p0, Jndi, and more), and special automatic 
performance improvements.



Cheers,
Shay

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