So you believe in "the more heap the better"? This assumption you have just
proved wrong. Note, in your test, at 16GB heap, GC took half a second,
while at 30GB heap, GC took around a second (and maybe more overhead in
stop-the-world pauses). This is a hint about current JVM GC scalability of
Java 7.

Jörg

On Wed, Feb 18, 2015 at 7:45 PM, Srikanth Valiveti <
[email protected]> wrote:

> We have 5 shards(give each size) totaling to 76.6GB in a single host
> c3.8xlarge <http://aws.amazon.com/ec2/instance-types/> system (60gb ram,
> 32 core, 2*320 SSD )
>
> We have multiple fields in our record, but single field is ngram analyzed
> on which we search results for.  This search need to performed on all 5
> shards of the host to get results, as there is no routing in our case.
>
> We observed huge variations in search TPS with *decrease* in elastic
> search heap memory size. Attached bigdesk images for both of the below
> cases!
>
> CASE1)
> When ess_heap size = 16gb
> Search tps observed is  50
>
> CASE2)
> When ess_heap_size=30gb
> Search tps observed is  18
>
> Surprising thing is as we decrease ess_heap_size the search tps got
> increased. All the resources(cpu,memory etc) are not fully utilized,  OS
> heap memory is not changed much, observed lot of zig zag ess_heap
> usage(increase and decrease of ess heap usage, may be because of high index
> size that need to be brought to RAM)  and reads I/Os  followed same zig zag
> manner in both the cases.
>
> Please note that we have run this experiment *multiple* times and
> observed the same pattern. Can you please guide on what is going wrong?
> what dec ess_heap increasing the tps, should we further decrease to achieve
> better tps or we doing something wrong?
>
> -Thanks
> Srikanth V.
>
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