# Elasticsearch Suggester: 10 Times Performance Degradation from v.2.3.3 to v.5.1.2

**URL:** <https://discuss.elastic.co/t/elasticsearch-suggester-10-times-performance-degradation-from-v-2-3-3-to-v-5-1-2/73922>\
**Category:** Elasticsearch\
**Created:** [February 3, 2017, 11:39pm UTC](https://discuss.elastic.co/t/elasticsearch-suggester-10-times-performance-degradation-from-v-2-3-3-to-v-5-1-2/73922 "2017-02-03T23:39:25Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Fuad\_Efendi](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/fuad_efendi/32/14876_2.png) [@Fuad\_Efendi](https://discuss.elastic.co/u/Fuad_Efendi)\
**Post date:** [February 3, 2017, 11:39pm UTC](https://discuss.elastic.co/t/elasticsearch-suggester-10-times-performance-degradation-from-v-2-3-3-to-v-5-1-2/73922/1 "2017-02-03T23:39:25Z")

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Am I new noticing this?

I have _huge_ autosuggester index created in version 2.3.3, about 235,000 records total, for City Autosuggest feature, taken from reallife database (including misspellings), and it is 10x faster than 4,000 cities (loaded from [Geonames.org](http://Geonames.org)) "autosuggest" field of Elasticsearch v.5.1.2

And both results are far slower than initially reported in this blog: [https://www.elastic.co/blog/you-complete-me](https://www.elastic.co/blog/you-complete-me)

- to recall, it was reported 0,5 ms response time for the whole Wikipedia (which is over five millions articles in English)!!!

I use "hey" from [https://github.com/rakyll/hey](https://github.com/rakyll/hey) to run tests, 50 parallel threads, 10,000 total queries, and my dataset is much smaller; and v.2..3 with 235,000 records is 10x faster than v.5.1.2!

Is it anything already well known? Thanks,

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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:** [March 3, 2017, 11:39pm UTC](https://discuss.elastic.co/t/elasticsearch-suggester-10-times-performance-degradation-from-v-2-3-3-to-v-5-1-2/73922/2 "2017-03-03T23:39:26Z")

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Closed on March 3, 2017, 11:39pm UTC

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