Do it. 32-bit OS's went out of style five years ago in server-land.

I would start with 8GB of RAM. 4GB for your index, 2 for Solr, 1 for
the OS and 1 for other processes. That might be tight. 12GB would
be a lot better.

wunder

On 4/16/08 7:50 AM, "Jonathan Ariel" <[EMAIL PROTECTED]> wrote:

> In order to do that I have to change to a 64 bits OS so I can have more than
> 4 GB of RAM.Is there any way to see how long does it takes to Solr to warmup
> the searcher?
> 
> On Wed, Apr 16, 2008 at 11:40 AM, Walter Underwood <[EMAIL PROTECTED]>
> wrote:
> 
>> A commit every two minutes means that the Solr caches are flushed
>> before they even start to stabilize. Two things to try:
>> 
>> * commit less often, 5 minutes or 10 minutes
>> * have enough RAM that your entire index can fit in OS file buffers
>> 
>> wunder
>> 
>> On 4/16/08 6:27 AM, "Jonathan Ariel" <[EMAIL PROTECTED]> wrote:
>> 
>>> So I counted the number if distinct values that I have for each field
>> that I
>>> want a facet on. In total it's around 100,000. I tried with a
>> filterCache
>>> of 120,000 but it seems like too much because the server went down. I
>> will
>>> try with less, around 75,000 and let you know.
>>> 
>>> How do you to partition the data to a static set and a dynamic set, and
>> then
>>> combining them at query time? Do you have a link to read about that?
>>> 
>>> 
>>> 
>>> On Tue, Apr 15, 2008 at 7:21 PM, Mike Klaas <[EMAIL PROTECTED]>
>> wrote:
>>> 
>>>> On 15-Apr-08, at 5:38 AM, Jonathan Ariel wrote:
>>>> 
>>>>> My index is 4GB on disk. My servers has 8 GB of RAM each (the OS is 32
>>>>> bits).
>>>>> It is optimized twice a day, it takes around 15 minutes to optimize.
>>>>> The index is updated (commits) every two minutes. There are between 10
>>>>> and
>>>>> 100 inserts/updates every 2 minutes.
>>>>> 
>>>> 
>>>> Caching could help--you should definitely start there.
>>>> 
>>>> The commit every 2 minutes could end up being an unsurmountable
>> problem.
>>>>  You may have to partition your data into a large, mostly static set
>> and a
>>>> small dynamic set, combining the results at query time.
>>>> 
>>>> -Mike
>>>> 
>> 
>> 

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