Aggregations: Analyzing Data with Queries
In addition to basic searches, Elasticsearch supports powerful aggregations to analyze and summarize data.
Example: Aggregating Product Categories
Let’s aggregate the count of products by category:
GET /products/_search
{
"size": 0,
"aggs": {
"categories": {
"terms": {
"field": "category"
}
}
}
}
In this example:
- We use the aggs (aggregations) clause to perform aggregations on our search results.
- The terms aggregation groups documents by the category field, providing a count of products in each category.
Querying Data in Elastic Search
Querying data in Elasticsearch is a fundamental skill for effectively retrieving and analyzing information stored in this powerful search engine. In this guide, we’ll explore various querying techniques in Elasticsearch, providing clear examples and outputs to help you understand the process.
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