BTW, we use c3.4xlarge and not as I said before

On Tuesday, December 9, 2014 5:52:55 PM UTC+2, Jilles van Gurp wrote:
>
> Indeed increase your shard count. Also, you may want to consider using a 
> routing parameter based on e.g. a tenant_id to ensure all queries related 
> to a tenant only hit shards that actually have data for that tenant. Those 
> two measures would reduce the size of each shard and the number of shards 
> involved for each tenant. To increase query capacity, you could consider 
> increasing the number of replicas as well this ways, you have more nodes 
> that can handle query traffic for the same data.
>
> Jilles
>
> On Tuesday, December 9, 2014 3:56:06 PM UTC+1, Mark Walkom wrote:
>>
>> Currently you have shards upwards of over 100GB, which is massive and 
>> probably causing you some issues. Ideally you should be aiming for a max 
>> shard size of 40-50GB, so increasing your shard count to 24 brings you 
>> under this level and also gives you room for growth on an index level.
>>
>> Having a higher shard count also spreads the query load, and reduces the 
>> amount of thrashing (ie data transfer) if/when a node goes down.
>>
>> On 9 December 2014 at 15:50, Ron Sher <ron....@gmail.com> wrote:
>>
>>> we have 24 data nodes, 3 master nodes and 3 client nodes.
>>> We use  m3.4xlarge for the data nodes 
>>>
>>> On Tue, Dec 9, 2014 at 4:37 PM, Mark Walkom <markw...@gmail.com> wrote:
>>>
>>>> How many servers are in this cluster?
>>>>
>>>> On 9 December 2014 at 14:36, Ron Sher <ron....@gmail.com> wrote:
>>>>
>>>>> Hi,
>>>>>
>>>>> We have a multi tenant SAAS application in which we keep data for all 
>>>>> accounts of our clients (300 of them which we call services).
>>>>> We keep data in monthly indices that grew to be about 700GB with 4.6 
>>>>> billion documents each month.
>>>>> Each day we index a new account per day for each service.
>>>>>
>>>>> Each index is built from 6 shards and we use 1 replica.
>>>>>
>>>>> We're starting to have second thoughts of the structure of our indices 
>>>>> and about proper use of routing.
>>>>> Few things we contemplate:
>>>>>
>>>>>    - Use routing according to service so that we will probably 
>>>>>    benefit from caching better.
>>>>>    - Change the indices according to service + month so that we will 
>>>>>    query much less data, but will add many indices (now instead of 12 
>>>>> indices 
>>>>>    a year we will have 300x12 and growing when the number of clients 
>>>>> grow).
>>>>>
>>>>> Any thoughts/suggestions?
>>>>>
>>>>> Thanks,
>>>>> Ron
>>>>>
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>>

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