# Optimize time for a elasticsearch query using fuzziness

**URL:** https://discuss.elastic.co/t/optimize-time-for-a-elasticsearch-query-using-fuzziness/148557
**Category:** Elasticsearch
**Created:** [September 14, 2018, 6:25am UTC](https://discuss.elastic.co/t/optimize-time-for-a-elasticsearch-query-using-fuzziness/148557 "2018-09-14T06:25:10Z")
**Posts on this page:** 2
**Page:** 1

<div class="post-metadata">

### Author: ![Nikesh](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/nikesh/32/86579_2.png) [@Nikesh](https://discuss.elastic.co/u/Nikesh)
#### Post date: [September 14, 2018, 6:25am UTC](https://discuss.elastic.co/t/optimize-time-for-a-elasticsearch-query-using-fuzziness/148557/1 "2018-09-14T06:25:10Z")

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The below search query is taking around 2356 ms to fetch 50 records  
Fuzziness leads to slower search. How can I improve performance using Fuzziness?  
(Highlight cannot be skipped)  
{  
"from" : 0, "size" : 50,  
"query": {  
"bool": {  
"must": {  
"multi\_match": {  
"query":"shall have the right",  
"fields": ["subType","title","type","content"],  
"fuzziness": "AUTO",  
"minimum\_should\_match": "80%"  
}  
},  
"should": {  
"multi\_match": {  
"query":"shall have the right",  
"fields": ["subType","title","type","content"],  
"type": "phrase",  
"slop": 1  
}  
}  
}  
},  
"aggregations": {  
"agg\_example": {  
"terms": {  
"field": "type.keyword"  
}  
}  
},  
"highlight": {  
"type" : "unified",  
"fields": {  
"\*": {}  
}  
}  
}

---

<div class="post-metadata">

### Author: ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)
#### Post date: [October 12, 2018, 6:25am UTC](https://discuss.elastic.co/t/optimize-time-for-a-elasticsearch-query-using-fuzziness/148557/2 "2018-10-12T06:25:14Z")

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