ElasticSearch DB Aggregation Simplified Using Java Language

⭐⭐⭐⭐⭐ ElasticSearch DB Aggregation Simplified Using Java Language ⭐⭐⭐⭐⭐

In this Tutorial we will learn How to use Aggregations functions or metrics aggregations in Elasticsearch DB Using Java Language. When you query Elasticsearch DB for desired filters, you want to group your results and provide metrics such as total counts or averages. In these cases, you’ll want to use aggregation to accomplish the task.

Aggregation is a a powerful tool in Elasticsearch that allows you to calculate a field’s minimum, maximum, average, and much more; for now, we’re going to focus on its ability to determine unique values for a field.
Elastic metrics aggregations
- Find Min Max values from given dataset in elasticsearch DB from Java.
- Find average of values for given dataset in elasticsearch DB from Java.
- Find count of records from given dataset in elasticsearch DB from Java.
- Find unique count (Cardinality) of records from given dataset in elasticsearch DB from Java.
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Reference Blog Link: https://simplifyingtechcode.wordpress.com/2021/06/28/elasticsearch-aggregations-with-java-program/
All code is available on Github:
https://github.com/Simplifying-Tech/AggregationElasticJava

Elasticsearch and kibana installation video link
https://www.youtube.com/watch?v=45vE3pgtpyY&t=1083s

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⏲️Time Stamps⏲️

0:33 - What is Elasticserach aggregation?
1:20 - What are metric aggregations?
2:00 - Start Elasticsearch
3:20 - Create new maven project
6:20 - Insert sample records
8:35 - Syntax of aggregation request DSL
10:15 - Sum aggregation
12:22- Other aggregations
17:07 - Running program
19.00- Elastic Query formation
19:35 -Debugging details
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