Book Image

Elasticsearch Server - Third Edition

By : Rafal Kuc
Book Image

Elasticsearch Server - Third Edition

By: 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 (18 chapters)
Elasticsearch Server Third Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

Aggregation types


Elasticsearch 2.x allows us to use three types of aggregation: metrics, buckets, and pipeline. The metrics aggregations return a metric, just like the stats aggregation we used for the stats field. The bucket aggregations return buckets, the key and the number of documents sharing the same values, ranges, and so on, just like the terms aggregation we used for the copies field. Finally, the pipeline aggregations introduced in Elasticsearch 2.0 aggregate the output of the other aggregations and their metrics, which allows us to do even more sophisticated data analysis. Knowing all that, let's now look at all the aggregations we can use in Elasticsearch 2.x.

Metrics aggregations

We will start with the metrics aggregations, which can aggregate values from documents into a single metric. This is always the case with metrics aggregations – you can expect them to be a single metric on the basis of the data. Let's now take a look at the metrics aggregations available in Elasticsearch...