# Elastic search 1000 req/s with max response time under 100 ms **URL:** \ **Category:** Elasticsearch\ **Created:** [March 27, 2025, 10:33pm UTC](https://discuss.elastic.co/t/elastic-search-1000-req-s-with-max-response-time-under-100-ms/376506 "2025-03-27T22:33:35Z")\ **Posts on this page:** 6\ **Page:** 1
**Author:** ![Majri\_Mohamed](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/majri_mohamed/32/142296_2.png) [@Majri\_Mohamed](https://discuss.elastic.co/u/Majri_Mohamed)\ **Post date:** [March 27, 2025, 10:33pm UTC](https://discuss.elastic.co/t/elastic-search-1000-req-s-with-max-response-time-under-100-ms/376506/1 "2025-03-27T22:33:35Z")
my server is 85 vCPU with 200 gb ram i want to run 1000 req/s of medium search queries and aggregations with 100% success and max latency and response time under 100 ms I need help on the configuration please for Elasticsearch the db is about 11 gb ---
**Author:** ![Majri\_Mohamed](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/majri_mohamed/32/142296_2.png) [@Majri\_Mohamed](https://discuss.elastic.co/u/Majri_Mohamed)\ **Post date:** [March 27, 2025, 10:46pm UTC](https://discuss.elastic.co/t/elastic-search-1000-req-s-with-max-response-time-under-100-ms/376506/2 "2025-03-27T22:46:44Z")
only one index with 20 million records each one under 10 kb ---
**Author:** ![RainTown](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/raintown/32/140206_2.png) [@RainTown](https://discuss.elastic.co/u/RainTown)\ **Post date:** [March 27, 2025, 11:14pm UTC](https://discuss.elastic.co/t/elastic-search-1000-req-s-with-max-response-time-under-100-ms/376506/3 "2025-03-27T23:14:58Z")
What did you try so far? And what were your results. Your entire 11G dataset fits (easily) in 200gb of RAM. But I’ve no idea what a medium search query mean, is that line a medium steak? ”… and aggregations” is also very imprecise. ---
**Author:** ![Christian\_Dahlqvist](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/christian_dahlqvist/32/4617_2.png) [@Christian\_Dahlqvist](https://discuss.elastic.co/u/Christian_Dahlqvist)\ **Post date:** [March 28, 2025, 4:30am UTC](https://discuss.elastic.co/t/elastic-search-1000-req-s-with-max-response-time-under-100-ms/376506/4 "2025-03-28T04:30:38Z")
Your data is small enough to fit into a single primary shard as well as the page cache, which is good for the type of traffic volumes you describe. I do have some further questions though. Which version of Elasticsearch are you using? Does you index have only a single primary shard? How frequently do you update the data in the index? What does your queries and mappings look like? What latency do you see if you just send a single query at a time? ---
**Author:** ![Majri\_Mohamed](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/majri_mohamed/32/142296_2.png) [@Majri\_Mohamed](https://discuss.elastic.co/u/Majri_Mohamed)\ **Post date:** [April 2, 2025, 1:28pm UTC](https://discuss.elastic.co/t/elastic-search-1000-req-s-with-max-response-time-under-100-ms/376506/5 "2025-04-02T13:28:42Z")
product example { "mongo\_id": "671ccb8efa83bca45c9a6f74", "id": "17258781", "catalog\_number": "MBS136332-1mg", "supplier\_catalog\_number": "MBS136332", "name": "Chicken Anti Rat Cotton IgG Polyclonal Affinity Purified HRP Labeled", "size": "1mg", "cluster\_name": "purified-affinity-rabbit", "supplier\_id": "544", "supplier\_name": "MyBiosource", "new\_supplier\_id": "544", "new\_supplier\_name": "MyBiosource", "buy\_price": 0, "sell\_price": 0, "price\_valid\_until\_date": null, "currency": "EUR", "dry\_ice": false, "promotion\_price": 0, "filters": [ "Species:Rat", "Host:Chicken", "Isotype:IgG", "Technique:Affinity", "Technique:Polyclonal", "Technique:Purified", "Label:HRP" ] } 20 million records 3 shards 1 replica elastic 8.12.0 my current config 3 masters , 3 data, 3 coord query example { "query": { "bool": { "filter": [ { "term": { "name": "anti" } }, { "term": { "filters": "Host:Chicken" } } ] } }, "size": 100, "track\_total\_hits": false, "aggs": { // Add this section back "filters\_count": { "terms": { "field": "filters", "size": 250, // Reduced from 100 for better performance "order": { "\_count": "desc" } // More useful than ascending keys } } } } ---
**Author:** ![Majri\_Mohamed](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/majri_mohamed/32/142296_2.png) [@Majri\_Mohamed](https://discuss.elastic.co/u/Majri_Mohamed)\ **Post date:** [April 2, 2025, 1:30pm UTC](https://discuss.elastic.co/t/elastic-search-1000-req-s-with-max-response-time-under-100-ms/376506/6 "2025-04-02T13:30:29Z")
product example { "mongo\_id": "671ccb8efa83bca45c9a6f74", "id": "17258781", "catalog\_number": "MBS136332-1mg", "supplier\_catalog\_number": "MBS136332", "name": "Chicken Anti Rat Cotton IgG Polyclonal Affinity Purified HRP Labeled", "size": "1mg", "cluster\_name": "purified-affinity-rabbit", "supplier\_id": "544", "supplier\_name": "MyBiosource", "new\_supplier\_id": "544", "new\_supplier\_name": "MyBiosource", "buy\_price": 0, "sell\_price": 0, "price\_valid\_until\_date": null, "currency": "EUR", "dry\_ice": false, "promotion\_price": 0, "filters": [ "Species:Rat", "Host:Chicken", "Isotype:IgG", "Technique:Affinity", "Technique:Polyclonal", "Technique:Purified", "Label:HRP" ] } 20 million records 3 shards 1 replica elastic 8.12.0 my current config 3 masters , 3 data, 3 coord query example { "query": { "bool": { "filter": [ { "term": { "name": "anti" } }, { "term": { "filters": "Host:Chicken" } } ] } }, "size": 100, "track\_total\_hits": false, "aggs": { // Add this section back "filters\_count": { "terms": { "field": "filters", "size": 250, // Reduced from 100 for better performance "order": { "\_count": "desc" } // More useful than ascending keys } } } }