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Advanced Elasticsearch 7.0

You're reading from   Advanced Elasticsearch 7.0 A practical guide to designing, indexing, and querying advanced distributed search engines

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781789957754
Length 560 pages
Edition 1st Edition
Languages
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Author (1):
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Wai Tak Wong Wai Tak Wong
Author Profile Icon Wai Tak Wong
Wai Tak Wong
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Toc

Table of Contents (25) Chapters Close

Preface 1. Section 1: Fundamentals and Core APIs FREE CHAPTER
2. Overview of Elasticsearch 7 3. Index APIs 4. Document APIs 5. Mapping APIs 6. Anatomy of an Analyzer 7. Search APIs 8. Section 2: Data Modeling, Aggregations Framework, Pipeline, and Data Analytics
9. Modeling Your Data in the Real World 10. Aggregation Frameworks 11. Preprocessing Documents in Ingest Pipelines 12. Using Elasticsearch for Exploratory Data Analysis 13. Section 3: Programming with the Elasticsearch Client
14. Elasticsearch from Java Programming 15. Elasticsearch from Python Programming 16. Section 4: Elastic Stack
17. Using Kibana, Logstash, and Beats 18. Working with Elasticsearch SQL 19. Working with Elasticsearch Analysis Plugins 20. Section 5: Advanced Features
21. Machine Learning with Elasticsearch 22. Spark and Elasticsearch for Real-Time Analytics 23. Building Analytics RESTful Services 24. Other Books You May Enjoy

Aggregation query syntax

The following code block in regular expression syntax demonstrates the basic structure of the aggregation query syntax:

"aggs":{
"name_1": {
"type": { body }
[,"aggs" : {[sub aggregation]+}]?
}
[,"name_2":{...}]*
}

We can have multiple aggregations in one shot. In addition, if we have to use complex aggregation logic to solve a problem, we may use sub-aggregations. The aggs keyword is the short form of the aggregations keyword. The name_1 word is the name of the aggregation. Elasticsearch supports more than one aggregation on the same level, such as name_2. The type word is used to define the type of the aggregation such as terms, stats, and range. The body word specifies the criteria of the aggregation.

One of the powerful features of aggregations is the ability to embed aggregations...

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