Kibana data table visualization is too slow in response

Elastic Stack Kibana
1

I have 5 node Elasticsearch cluster 3 master node 1 data node and 1 Tribe node. I have installed ELK 5.2 version. My shards count is 2 and replica is 1. I have 32GB RAM and 1TB of hard disk space. My Index size is around 14GB. I have configured my kibana.yml to point both the tribe and master node

elasticsearch.tribe.url: "http://xxxx:9200"

elasticsearch.url: "http://xxxxx:9200"

Whenever I created a data-table visualization with date datatype as one of the column my search becoming too slow sometimes I am getting timeout error. When I remove the date type column form the visualization the search is better.

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Is there any setting which I need to add in the config file or need to modify any Elasticsearch mapping. Please advice me the configuration to overcome the issue.

1 Like
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Why are you doing a terms aggregation on a Date field? Your terms aggregation is asking for a very large number of terms. Using a Date Histogram aggregation will fix your performance problems.

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@Nathan_Reese When I use Date Histogram Yes its too faster but I couldn't see the minutes, sec and milliseconds information.

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Why are you sub-aggregating the date histogram bucket with a terms aggregation on the same date field? Can you describe your use case and data set so I can get a better understanding of what you are trying to accomplish.

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Just to show you the difference I created this same field.

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