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.s...@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 <markwal...@gmail.com> wrote:
>
>> How many servers are in this cluster?
>>
>> On 9 December 2014 at 14:36, Ron Sher <ron.s...@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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