That's actually a great point!

You can probably reduce the RAM and then see how it performs.

On 12 November 2014 20:55, lagarutte via elasticsearch <
[email protected]> wrote:

> if i set 4Gb heap for 8Gb system master node only, for what purposes are
> the remaning 4GB ?
>
> For the filesystem cache (but the master don't do IOs) ?
>
>
>
>
> Le mardi 11 novembre 2014 22:46:50 UTC+1, Mark Walkom a écrit :
>>
>> You should use 50% of your system memory for heap.
>>
>> A client is just a node that is neither a master or a data node, though
>> once you set a node to master, you can leverage it as a client as well.
>>
>> On 12 November 2014 05:02, lagarutte via elasticsearch <
>> [email protected]> wrote:
>>
>>> Ok, since the master doesn't contain any data, and don't do lot ofs IOs:
>>> For 8GB RAM, what's the recommended HEAP_SIZE ? 7GB
>>>
>>>
>>> and i don't fully understand the client (query management node).
>>> Today, i have set node.master=true and node.data=true.
>>> and with new master only, i will have masters only nodes and data only
>>> nodes.
>>>
>>>
>>> What the correct setting for client node ? node.client=true (with
>>> node.master=false and node.data=false)  with http adress set ?
>>> so i don't need to tell the masters adress to the other applications
>>> like logstash, tomcat, ... ?
>>>
>>>
>>> Le mardi 11 novembre 2014 09:45:17 UTC+1, Mark Walkom a écrit :
>>>>
>>>> I'd suggest you go for 8GB system RAM with a small disk and then also
>>>> use these nodes as clients - ie query management.
>>>>
>>>> You may need more RAM, but that should be a good start.
>>>>
>>>> On 11 November 2014 19:35, lagarutte via elasticsearch <
>>>> [email protected]> wrote:
>>>>
>>>>> Hello,
>>>>> I'm currently thinking of creating VM nodes for the masters.
>>>>>
>>>>> Today, several nodes have master and data node roles.
>>>>> But I have OOM memory errors and so masters crashed frequently.
>>>>>
>>>>> What would be the correct hardware sizing for a master node only (like
>>>>> 2 CPUs, 4GB RAM) for managing a cluster of 20 data nodes with 4000 shards 
>>>>> ?
>>>>>
>>>>>
>>>>> regards
>>>>>
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