Hello,

The queries that we run seem to be very CPU Intensive and cause the Servers 
to max out within a short amount of time. On debugging, it looks like 
standard queries take too long to respond too. 

We are currently running version 1.0.2 of Elasticsearch and have about 
67.3G of data on Production. There are currently 5 Shards running on 2 
Nodes (1 Replica). There is a total of 252gb RAM with Heap Size set to 
109.9gb.

<https://lh5.googleusercontent.com/-4bLBVeQuIHY/U4YnR7KX__I/AAAAAAAAAAM/XA8B0kff_u8/s1600/Elasticsearch+Setup.png>

The Indexing rate is high since we are migrating data:

>From Bigdesk:
<https://lh4.googleusercontent.com/-gwJ_8GUT5nc/U4ZplswvYYI/AAAAAAAAAA0/6UhKvCpCF6c/s1600/Indexing+Rate.png>

The Refresh Activity report from ElasticHQ:

<https://lh6.googleusercontent.com/-DHO2pXXflME/U4ZqLxawJKI/AAAAAAAAABA/7pqxXnKbLn0/s1600/ElasticHQ+-+Index+Activity.png>



The Match All Query takes a whopping 520 - 680ms to run. 
{
  "query": {
    "match_all": {}
  }
}


However, on a similar Test Environment Setup (with 8G of data), the same 
query takes about 80-120ms to execute. Which feels more like the average.

<https://lh5.googleusercontent.com/-LTtjBlbcHR0/U4YqUTlNt_I/AAAAAAAAAAc/P1h6okpdm4w/s1600/Elasticsearch+Test+Setup.png>
What are some of the recommendations that can improve this bottleneck? Will 
adding more Nodes help alleviate this issue or will it worsen it. 



Thanks,
Sairam

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