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Elasticsearch Server - Third Edition

You're reading from   Elasticsearch Server - Third Edition Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781785888816
Length 556 pages
Edition 3rd Edition
Languages
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Authors (2):
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Rafal Kuc Rafal Kuc
Author Profile Icon Rafal Kuc
Rafal Kuc
Marek Rogozinski Marek Rogozinski
Author Profile Icon Marek Rogozinski
Marek Rogozinski
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with Elasticsearch Cluster FREE CHAPTER 2. Indexing Your Data 3. Searching Your Data 4. Extending Your Querying Knowledge 5. Extending Your Index Structure 6. Make Your Search Better 7. Aggregations for Data Analysis 8. Beyond Full-text Searching 9. Elasticsearch Cluster in Detail 10. Administrating Your Cluster 11. Scaling by Example 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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