This entirely depends on your data structure, volume and cluster sizing.
Hundreds works, thousands should be ok if you have a lot of nodes, tens of
thousands is even more nodes.

Aliases will also affect your requirements.

Regards,
Mark Walkom

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

On 9 October 2014 00:19, kmoore.cce <[email protected]> wrote:

> I understand this may depend on a lot of factors, but I am curious on what
> is an efficient number of indexes for a large data set.
>
> I would like to break up indexes by user and by date (I think) mostly
> because it will make data management easier on my end.
>
> I am wondering when Elasticsearch will have issues with the number of
> indexes. For example is 10 a good number? 100? 1000? 10000? etc.
>
> I would like to break up the indexes as much as possible and make use of
> aliases for searching the data of interest, but I don't want to create so
> many indexes that it will have an adverse affect on performance.
>
> I would appreciate any insight into what is recommended and what others
> have experienced.
>
> Thanks in advance.
>
> -Kevin
>
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