# A brief blog on query performance optimisation

**URL:** <https://discuss.elastic.co/t/a-brief-blog-on-query-performance-optimisation/18492>\
**Category:** Elasticsearch\
**Created:** [July 6, 2014, 5:59am UTC](https://discuss.elastic.co/t/a-brief-blog-on-query-performance-optimisation/18492 "2014-07-06T05:59:14Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![warkolm](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/warkolm/32/39224_2.png) [@warkolm](https://discuss.elastic.co/u/warkolm)\
**Post date:** [July 6, 2014, 5:59am UTC](https://discuss.elastic.co/t/a-brief-blog-on-query-performance-optimisation/18492/1 "2014-07-06T05:59:14Z")

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This isn't mine, just something I found online that might be of interest to  
others;

> **[ElasticSearch Query: Performance Optimisation](http://www.xmsxmx.com/elasticsearch-query-performance-optimisation/)**
>
> In one of my previous posts on elasticsearch, i shared my understanding of elasticsearch configurations and best practices. That was mostly from an indexing perspective. There are several tweaks one can use to optimise query performance as well....

There is a bunch of tests that are run on AWS that give some good insight  
into sizing and potential choke points when running queries against a  
cluster.

Regards,  
Mark Walkom

Infrastructure Engineer  
Campaign Monitor  
email: [markw@campaignmonitor.com](mailto:markw@campaignmonitor.com)  
web: [www.campaignmonitor.com](http://www.campaignmonitor.com)

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**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [July 6, 2017, 1:17am UTC](https://discuss.elastic.co/t/a-brief-blog-on-query-performance-optimisation/18492/2 "2017-07-06T01:17:44Z")

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Closed on July 6, 2017, 1:17am UTC