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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