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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