There's a bunch of kernel/OS tweaks you can apply as well. eg noatime,
nodiratime if you mount the ES dir on it's own, or some of these
http://namhuy.net/1563/how-to-tweak-and-optimize-ssd-for-ubuntu-linux-mint.html
Then indices.store.throttle.max_bytes_per_sec might be worth looking at,
you can increase that from the 20mb default.

I know there'd be a bunch of people that would be interested in your setup
and the tweaks you've done if you're interested in putting up a blog
post/gist with it.

Regards,
Mark Walkom

Infrastructure Engineer
Campaign Monitor
email: [email protected]
web: www.campaignmonitor.com


On 18 March 2014 07:43, <[email protected]> wrote:

> We haven't tried Java 8 or changing garbage collection yet -- I've heard
> mixed results on GC.    We're using SSD storage on Azure, and have a fairly
> tweaked out config.  I was thinking about turning off any kind of analysis
> in the template to get it to scale...
>
> On Sunday, March 16, 2014 7:37:09 PM UTC-7, Mark Walkom wrote:
>>
>> We are getting ~15K/s with 12 data + 3 master nodes, latest version of
>> java and ES.
>>
>> Some things to try would be;
>>
>>    - Java 8
>>    - G1GC
>>    - SSD storage
>>    - tweaking various index and pool caches
>>    - optimising your data inputs, mappings etc
>>
>> We're trialling the first two of those on our dev cluster, but it doesn't
>> do much traffic so I cannot empirically comment on it's capabilities at the
>> levels you're after as yet.
>>
>> What does your current setup (ie infrastructure) look like now?
>>
>>
>> Regards,
>> Mark Walkom
>>
>> Infrastructure Engineer
>> Campaign Monitor
>> email: [email protected]
>> web: www.campaignmonitor.com
>>
>>
>> On 17 March 2014 13:17, <[email protected]> wrote:
>>
>>> We've gotten a cluster up to 40K/sec using roughly 40 nodes.  We're
>>> going to switch over to using dedicated master nodes as well.  This is all
>>> in AWS.
>>>
>>> -Justin
>>>
>>> On Sunday, March 16, 2014 9:14:43 PM UTC-4, Janet Sullivan wrote:
>>>>
>>>>  I currently have a proof of concept cluster handling about 12000
>>>> msgs/sec.  If a certain project kicks off, I would need to scale 10+
>>>> times.  Is anyone successfully running ES at over 150k/sec?  What kind of
>>>> shard layout are you using, how many data nodes, etc?
>>>>
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