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Elasticsearch Server - Third Edition

Elasticsearch Server - Third Edition

By : Marek Rogozinski, Rafal Kuc
5 (1)
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Elasticsearch Server - Third Edition

Elasticsearch Server - Third Edition

5 (1)
By: Marek Rogozinski, Rafal Kuc

Overview of this book

ElasticSearch is a very fast and scalable open source search engine, designed with distribution and cloud in mind, complete with all the goodies that Apache Lucene has to offer. ElasticSearch’s schema-free architecture allows developers to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses, even those with petabytes of unstructured data. This book will guide you through the world of the most commonly used ElasticSearch server functionalities. You’ll start off by getting an understanding of the basics of ElasticSearch and its data indexing functionality. Next, you will see the querying capabilities of ElasticSearch, followed by a through explanation of scoring and search relevance. After this, you will explore the aggregation and data analysis capabilities of ElasticSearch and will learn how cluster administration and scaling can be used to boost your application performance. You’ll find out how to use the friendly REST APIs and how to tune ElasticSearch to make the most of it. By the end of this book, you will have be able to create amazing search solutions as per your project’s specifications.
Table of Contents (13 chapters)
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12
Index

Aggregations


Introduced in Elasticsearch 1.0, aggregations are the heart of data analytics in Elasticsearch. Highly flexible and performant, aggregations brought Elasticsearch 1.0 to a new position as a full-featured analysis engine. Extended through the life of Elasticsearch 1.x, in 2.x they are yet more powerful, less memory demanding, and faster. With this framework, you can use Elasticsearch as the analysis engine for data extraction and visualization. Let's see how that functionality works and what we can achieve by using it.

General query structure

To use aggregations, we need to add an additional section in our query. In general, our queries with aggregations look like this:

{
   "query": { … },
   "aggs" : {
     "aggregation_name" : {
       "aggregation_type" : {
         ...
       }
     }
   }
}

In the aggs property (you can use aggregations if you want; aggs is just an abbreviation), you can define any number of aggregations. Each aggregation is defined by its name and one of the...

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