Did I, sorry, 16GB across 100 indices

On Friday, July 18, 2014, Mark Walkom <[email protected]> wrote:

> You said you have one index of 16GB but that you have ~100 indexes in
> total. How much data across all those indexes, the cluster total in GB/TB.
>
>
> Regards,
> Mark Walkom
>
> Infrastructure Engineer
> Campaign Monitor
> email: [email protected]
> <javascript:_e(%7B%7D,'cvml','[email protected]');>
> web: www.campaignmonitor.com
>
>
> On 19 July 2014 11:25, Ned Campion <[email protected]
> <javascript:_e(%7B%7D,'cvml','[email protected]');>> wrote:
>
>> 5 data nodes as described, and 2 master nodes, 50 clients connected
>> directly, that's it for docements 448k, hope that's what you mean
>>
>> Thank you for the help
>>
>> On Friday, July 18, 2014, Mark Walkom <[email protected]
>> <javascript:_e(%7B%7D,'cvml','[email protected]');>> wrote:
>>
>>> How much in total, in the entire cluster.
>>>
>>> Regards,
>>> Mark Walkom
>>>
>>> Infrastructure Engineer
>>> Campaign Monitor
>>> email: [email protected]
>>> web: www.campaignmonitor.com
>>>
>>>
>>> On 19 July 2014 10:55, Ned Campion <[email protected]> wrote:
>>>
>>>> Hey Mark,
>>>>
>>>> The index is currently 16GB with 10 indices (added and removed daily,
>>>> updated at a fairly low but constant pace) and just 448k documents
>>>> between them (w/ geoshape + terms indexes)
>>>>
>>>> Thanks for any and all help! and further info if desired
>>>>
>>>> Best,
>>>> Ned
>>>>
>>>>
>>>> On Fri, Jul 18, 2014 at 8:36 PM, Mark Walkom <[email protected]
>>>> > wrote:
>>>>
>>>>> How many indexes and how much data do you have?
>>>>>
>>>>> Regards,
>>>>> Mark Walkom
>>>>>
>>>>> Infrastructure Engineer
>>>>> Campaign Monitor
>>>>> email: [email protected]
>>>>> web: www.campaignmonitor.com
>>>>>
>>>>>
>>>>> On 19 July 2014 01:09, Ned Campion <[email protected]> wrote:
>>>>>
>>>>>>  Hey All,
>>>>>>
>>>>>> I've got a cluster with 5 data nodes (2 master nodes). The cluster
>>>>>> has ~100 indices, w/ doc counts in the 1k - 50k range. There is a
>>>>>> low/medium amount of index load going into the cluster via the bulk api 
>>>>>> and
>>>>>> a large amount of search traffic going in in the 40K queries per second
>>>>>> range.
>>>>>>
>>>>>> I'm running these data nodes on ec2 (c3.8xl's) with a 30GB heap,
>>>>>> though at the time of the following sample I was testing out running 
>>>>>> with a
>>>>>> 20GB heap. The process runs well for a while, a couple hours to a day or
>>>>>> two depending on traffic, and then it get's into a bad state where there 
>>>>>> is
>>>>>> continual doing long gc runs, ie every minute doing a stop the world run
>>>>>> for 30-45sec, and seemingly getting very little out of it (ie starting 
>>>>>> with
>>>>>> 18.8GB heap usage and going to 18.3GB heap usage).
>>>>>>
>>>>>> Here the red line is a data node that is exhibiting the behavior.
>>>>>> This is a graph of the "old" generation growing to nearly the complete 
>>>>>> heap
>>>>>> size and then staying there for hours. During this time the application 
>>>>>> is
>>>>>> severely degraded.
>>>>>>
>>>>>>
>>>>>> <https://lh4.googleusercontent.com/-JXEVIJVBDDY/U8kyUY7hhyI/AAAAAAAACBo/dceW7JJGKiA/s1600/Screen+Shot+2014-07-18+at+10.37.44+AM.png>
>>>>>>
>>>>>> Example of one of the gc runs during this time (again they run every
>>>>>> minute or so).
>>>>>>
>>>>>> [2014-07-18 00:24:24,735][WARN ][monitor.jvm ] [prod-targeting-es2]
>>>>>> [gc][old][10799][27] duration [41.5s], collections [1]/[42.5s], total
>>>>>> [41.5s]/[2.2m], memory [18.8gb]->[18.3gb]/[19.8gb], all_pools {[young]
>>>>>> [733.2mb]->[249.9mb]/[1.4gb]}{[survivor] [86mb]->[0b]/[191.3mb]}{[old]
>>>>>> [18gb]->[18.1gb]/[18.1gb]}
>>>>>>
>>>>>> We are running es 1.2.2 . We had been running Oracle 7u25 and we've
>>>>>> tried upgrading to 7u65 with no effect. I just did a heap dump analysis
>>>>>> using jmap and Eclipse Memory Analyzer and found that 85% of the heap was
>>>>>> taken up with filter cache
>>>>>>
>>>>>>
>>>>>>
>>>>>> <https://lh4.googleusercontent.com/-KZ8SJD-o32M/U8kzdtC0KhI/AAAAAAAACBw/TeWTvmOc1rc/s1600/Screen+Shot+2014-07-18+at+1.34.44+AM.png>
>>>>>>
>>>>>> We are doing a lot of "bool" conditions in our queries, so that may
>>>>>> be a factor in the hefty filter cache.
>>>>>>
>>>>>> Any ideas out there? Right now I have to bounce my data nodes every
>>>>>> hour or two to ensure I don't reach this degraded state.
>>>>>>
>>>>>>
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