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ElasticSearch: how and when to use it
Textual search engines are a feature that plays an important role in the construction of applications. The user experience is…

Elasticsearch: aggregation pipeline
Elasticsearch offers the ability to extract statistics and data sets using aggregation functions. In many contexts, however, it is necessary…
![Elasticsearch: bucket aggregations [part 2]](https://cdn.shortpixel.ai/spio/ret_img+q_cdnize+to_webp+s_webp/flowygo.com/wp-content/uploads/2022/09/elasticsearch-logo-aggregation_bucket.png)
Elasticsearch: bucket aggregations [part 2]
With Elasticsearch’s bucket aggregations we can create groups of documents. Having seen in the previous article aggregations based on keyword…
![Elasticsearch: bucket aggregations [part 1]](https://cdn.shortpixel.ai/spio/ret_img+q_cdnize+to_webp+s_webp/flowygo.com/wp-content/uploads/2022/09/elasticsearch-logo-aggregation_bucket.png)
Elasticsearch: bucket aggregations [part 1]
With Elasticsearch’s bucket aggregations we can create groups of documents. In this article we will mainly focus on aggregations based…

Elasticsearch: metric aggregations
In addition to text search, Elasticsearch allows analysis on data using aggregations. Among the various types of aggregation available, the…

Elasticsearch: the aggregation types
Elasticsearch is a widely used NoSQL database for developing search engines because of its ability to index text appropriately. But…

Elasticsearch: join and bonus queries
Elasticsearch is a very good NoSQL database for performing efficient searches on textual and structured data. Despite this, it does…

Elasticsearch: compound query
Elasticsearch offers a very valuable tool for performing simple as well as complex searches. In this article we will understand…

Elasticsearch: use of term queries
Elasticsearch offers a very valuable tool not only for textual searches, but also for structured data. In this article we…