Sorry, correction, we were running ES and LS with java version "1.7.0_51",
I just looked up the default on that system, which (someone says) is
required for some other applications... but yes, we were using the correct
Java version! :)

-Robin-


On 25 March 2014 08:41, Mark Walkom <[email protected]> wrote:

> Ouch, why such an old version of java? (And is is Open or Oracle?)
> v7 is the minimum for ES and LS.
>
> Regards,
> Mark Walkom
>
> Infrastructure Engineer
> Campaign Monitor
> email: [email protected]
> web: www.campaignmonitor.com
>
>
> On 25 March 2014 18:20, Robin Clarke <[email protected]> wrote:
>
>> Thanks for the tip with the number of masters!
>>
>> java version "1.6.0_45" on Debian 3.2.54-2
>>
>>
>> On 25 March 2014 07:55, Mark Walkom <[email protected]> wrote:
>>
>>> Java version? Also what OS?
>>>
>>> Just as a general note, it's always good to have an uneven number of
>>> masters to ensure you get a majority quorum.
>>>
>>> Regards,
>>> Mark Walkom
>>>
>>> Infrastructure Engineer
>>> Campaign Monitor
>>> email: [email protected]
>>> web: www.campaignmonitor.com
>>>
>>>
>>> On 25 March 2014 17:35, Robin Clarke <[email protected]> wrote:
>>>
>>>> Each node had 8 cores (2.4GHz Xeon), 32GB RAM, SSD disks (I never saw
>>>> IOWait, but was also focusing on ingestion rate).
>>>> I always had 2 master nodes, and in addition tried the configurations
>>>> 20, 10 and 5 data nodes.
>>>> Running Elasticsearch 1.0.1 (but with Logstash 1.3.3)
>>>>
>>>> -Robin-
>>>>
>>>>
>>>> On 25 March 2014 06:17, Mark Walkom <[email protected]> wrote:
>>>>
>>>>> Can you elaborate what your cluster setup is like?
>>>>>
>>>>> Node specs (disk, RAM, CPU), how many master/data nodes and what
>>>>> version of ES and java you're running?
>>>>>
>>>>> Regards,
>>>>> Mark Walkom
>>>>>
>>>>> Infrastructure Engineer
>>>>> Campaign Monitor
>>>>> email: [email protected]
>>>>> web: www.campaignmonitor.com
>>>>>
>>>>>
>>>>> On 25 March 2014 16:11, Robin Clarke <[email protected]> wrote:
>>>>>
>>>>>>  I did some intensive tests last week on a 20-node cluster and had
>>>>>> the following insights - I'd be interested if anyone has 
>>>>>> similar/dissimilar
>>>>>> experience.
>>>>>> The had 20 nodes had 8 cores each, and 32GB memory each.  I set up
>>>>>> Elasticsearch to have 15GB of that memory.
>>>>>> The sample events I was using were Apache logs (common format)
>>>>>> without any additional fields (no geoip, useragent etc. plugins).
>>>>>> When running as a 20-node cluster, I got a maximum igestion rate of
>>>>>> 2500k events/minute (41k/second), *but* the bottleneck was the
>>>>>> logstash CPU load... so I reduced to a 10 node cluster...
>>>>>> With the 10 nodes I initially had 1600k/minute (27k) and acheived
>>>>>> 1800k/minute (30k/second) by increasing index_refresh_interval to 30s and
>>>>>> index_buffer_size to 20%
>>>>>> Further reducing to 5 nodes, I had 1100k/minute (18k/second).
>>>>>> This brings me to an interesting comparison: at 10 nodes, I have 3k
>>>>>> events/second/node, and with 5 nodes I have 3.66k events/second/node. 
>>>>>> i.e.
>>>>>> the overhead for doubling the number of nodes from 5 to 10 is about 20%.
>>>>>> Is this to be expected?  Just how scalable is Elasticsearch - at what
>>>>>> point is the diminishing return on adding nodes not cost effective?
>>>>>> Is the further logical reduction to 375 events/core/second still
>>>>>> meaningful?
>>>>>>
>>>>>> Cheers,
>>>>>> -Robin-
>>>>>>
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>>>>
>>>>
>>>> --
>>>> Best winds,
>>>> -Robin-
>>>> ~:)
>>>>
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>>
>>
>> --
>> Best winds,
>> -Robin-
>> ~:)
>>
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-- 
Best winds,
-Robin-
~:)

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