I have a index that is compiled each night that indexes 1,3gb with XML
data that results into a 1,4gb index. The index takes about 11 hours to
build on a dual 700mhz xeon processor with 768mb of ram. The index
contains 4.388.730 documents and 953.632 terms.
Mvh karl øie
On Thursday, Nov 21, 2
Otis
I could do some tests on a solaris and/or intel linux server
that have got about 10 to 15Gb disk space to play with.
Neither has huge amounts of RAM (512 and 256Mb respectively)
but that is probably enough. Neither server is doing much
else most of the time.
If that would help would you li
writing at the same time?
I
thought I read this in the FAQ.
Roy.
-Original Message-
From: Doug Cutting [mailto:[EMAIL PROTECTED]]
Sent: Wednesday, November 20, 2002 5:04 PM
To: Lucene Users List
Subject: Re: Stress/scalability testing Lucene
* Replies will be sent through Spamex to
[EMAIL
> thought I read this in the FAQ.
>
> Roy.
>
> -Original Message-
> From: Doug Cutting [mailto:[EMAIL PROTECTED]]
> Sent: Wednesday, November 20, 2002 5:04 PM
> To: Lucene Users List
> Subject: Re: Stress/scalability testing Lucene
>
>
> * Replies w
PM
To: Lucene Users List
Subject: Re: Stress/scalability testing Lucene
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Justin Greene wrote:
> We created a thread pool to read and parse the email
> messages. 1
Justin Greene wrote:
We created a thread pool to read and parse the email
messages. 10 threads seems to be the magic number here for us. We then
created a queue of messages to be indexed onto which we push the parsed
messages and have a single thread adding messages to the index.
IndexWriter.a
D]'
> Subject: RE: Stress/scalability testing Lucene
>
> We wrote an Lucene based indexer that we are using to index
> MailDir email
> boxes. Each file is an individual email message and they
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aving a second CPU makes a major difference in performance.
Justin
> -Original Message-
> From: Otis Gospodnetic [mailto:[EMAIL PROTECTED]]
> Sent: Wednesday, November 20, 2002 12:09 PM
> To: [EMAIL PROTECTED]
> Cc: [EMAIL PROTECTED]
> Subject: Stress/scalability testi
Hello,
Has anyone tested Lucene for scalability?
I know that some peple have indices with 10M+ documents in it, but has
anyone tried going beyond there, to 50M, 100M, 500M or more documents?
(I know the size of the index and performance of searches depends on
documents, number of fields, field typ