Lucene Index Size and Performance

2012-05-07 Thread parkhekishor
Hi, 
   I have Index with size 1GB. Its each documents consist five Fields which
are use for search.For single result it take 30 to 40 milliseconds.I want to
reduce this time.How can I do this? is search performance depends on a Index
size? What is maximum capacity to add Documents  in Index?
  

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Re: Lucene Index Size and Performance

2012-05-08 Thread Li Li
what's the hardware configuration of your machines?
if you have enough RAM, you could use RAMDirectory.

On Tue, May 8, 2012 at 2:52 PM, parkhekishor  wrote:
> Hi,
>   I have Index with size 1GB. Its each documents consist five Fields which
> are use for search.For single result it take 30 to 40 milliseconds.I want to
> reduce this time.How can I do this? is search performance depends on a Index
> size? What is maximum capacity to add Documents  in Index?
>
>
> --
> View this message in context: 
> http://lucene.472066.n3.nabble.com/Lucene-Index-Size-and-Performance-tp3970551.html
> Sent from the Lucene - Java Developer mailing list archive at Nabble.com.
>
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Re: Lucene Index Size and Performance

2012-05-14 Thread parkhekishor
Hi, 
My machine hardware configuration is 25G RAM and Intel Xeon 2.25GHz
processor.

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Re: Lucene Index Size and Performance

2012-05-14 Thread Gregor Kaczor

Hi,
just for stats. Findfiles.net will be switched off by the end of this month.

FindFiles.net has  800.000.000 Documents (800 millions). 1KB per 
Document. One Document has 11 mandatory and 10 optional fields.


Slave Indexes:
OS: Ubuntu 11.04
All 4 slave indexes 100 GB each are run on a 4 SSD 120GB in RAID 0, 24 
GB RAM, Hexacore CPU  Intel i7. The 4 SSDs in RAID 0 reach about 600MB 
per Second read performance.


Average Server load (top) 0.73, 0.89, 1.28
Daily average index response Time is: 0.73 seconds
Daily average requests about 12.000

Master Indexes:
OS: Ubuntu 11.04
2x 2TB SATA2, No RAID, 16GB RAM, Hexacore Intel CPU. Complete Reindex 
time: 55 hours. Reindex based on SimplePostTool backed by a 
multithreaded support which implements the producer-consumer pattern. 1 
Producer Thread and 12 consumer Threads. Sing SimplePostTool


Hope that helps some of you for planning your own indexes.

Frontend is based on Wicket 1.4.19.
Backend is based on Solr 3.4.0

Kind Regards

Greg

On 05/14/2012 01:51 PM, parkhekishor wrote:

Hi,
 My machine hardware configuration is 25G RAM and Intel Xeon 2.25GHz
processor.

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