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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> -Robin-
> ~:)
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