Simply increasing the depths means more things will queue, but you still
need to catch up on that queue. If you are overloaded then this will never
happen and your queue won't be much help.
Look at the larger picture, are you running out of resources consistently
or is it transitory?

On 22 April 2015 at 14:08, bvnrwork <budda08n...@gmail.com> wrote:

> Hi ,
>
> Document getting lost due to queue size settings and also see ESRejection
> exception as explained in below article
>
>
> https://www.loggly.com/blog/nine-tips-configuring-elasticsearch-for-high-performance/
>
> I want to understand that if right queue size is set then there is no
> chance of document /data loss or is there any parameter I need to configure
> ?
>
>
> Regards,
> Nagaraju
>
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