lucene-java-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Askar Zaidi" <askar.za...@gmail.com>
Subject Re: Fine Tuning Lucene implementation
Date Tue, 24 Jul 2007 20:31:30 GMT
I have 512MB RAM allocated to JVM Heap. If I double my system RAM from 768MB
to say 2GB or so, and give JVM 1.5GB Heap space, will I get quicker results
?

Can I expect results which take 1 minute to be returned in 30 seconds with
more RAM ? Should I also get a more powerful CPU ? A real server class
machine ?

I have also done some of the optimizations that are mentioned on the Lucene
website.

thanks,
AZ

On 7/24/07, Askar Zaidi <askar.zaidi@gmail.com> wrote:
>
> Hey Guys,
>
> I just finished up using Lucene in my application. I have data in a
> database , so while indexing I extract this data from the database and pump
> it into the index. Specifically , I have the following data in the index:
>
> <itemID> <tags> <title> <summary> <contents>
>
> where itemID is just a number (primary key in the DB)
> tags : text
> titie: text
> summary: text
> contents: Huge text (text extracted from files: pdfs, docs etc).
>
> Now while running a search query I realized that the response time
> increases in a linear fashion as the number of <itemID> increase in the DB.
>
> If I have 50 items, its 8 seconds
> 100 items, its 17 seconds.
> 300+ items, its 60 seconds and maybe more.
>
> In a perfect world, I'd like to search on 300+ items within 10-15 seconds.
> Can anyone give me tips to fine tune lucene ?
>
> Heres a code snippet:
>
> sql query = "SELECT itemID from items where creator = 'askar' ;
>
> --execute query--
>
> while(rs.next()){
>
> score = doTagSearch(askar,text,itemID);
> scoreTitle = doTitleSearch(askar,text,itemID);
> scoreSummary = doSummarySearch(askar,text,itemID);
>
> ----
>
> }
>
> So this code asks Lucene to search for the "text" in the itemID passed.
> itemID is already indexed. The while loop will run 300 times if there are
> 300 items....that gets slow...what can I do here ??
>
> thanks for the replies,
>
> AZ
>

Mime
  • Unnamed multipart/alternative (inline, None, 0 bytes)
View raw message