Alican,

we have other customers with that RAM sizes. 

It is always about the size of your hot data-set (i.e. cached) the better you 
understand your use-cases, the better you can estimate the # of nodes and rels 
(and their properties) that have to be cached.

Michael

Am 01.11.2011 um 10:53 schrieb Alican Gecyasar:

> hey jim! Thanks for the thoughts.
> 
> I know I could run it on less RAM, it's not a matter of can or cannot. I 
> am also aware that the more RAM the better the performance.
> But my question is more: how will it perform with less RAM, say 32GB. 
> Every system is quite fast with this amount of RAM.
> 
> I am not sure if we can convince our customer to invest into 3x128GB 
> RAM. (productive system, staging system, test system)
> Especially since there is not yet any reference application, which would 
> guarantee an acceptable performance with this kind of system.
> 
> 
> 
> Am 01.11.2011 10:27, schrieb Jim Webber:
>> Hi Alican,
>> 
>>> But I am still a bit concerned about the 128GB RAM..
>> You can run it on less of course. You could run it on your laptop and it 
>> would still work.
>> 
>> However Neo4j is clever in its use of RAM. The more RAM you can allocate to 
>> Neo4j, the more chance that database reads can come straight from memory 
>> rather than spending potentially milliseconds going to mechanical disk, 
>> yielding thousands of traversals per second rather than millions.
>> 
>> So more RAM = less disk hits (statistically) which is where you'll get huge 
>> read performance benefits. Less RAM means more likelihood of going to disk.
>> 
>> All things being equal, with 128GB RAM you can cache a lot of your dataset 
>> in main memory. Perhaps even all your *active* dataset in fact (since it's 
>> about a quarter the size of your full dataset). That's going to give you 
>> blistering performance.
>> 
>> Jim
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> 
> -- 
> alican
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