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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