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Elasticsearch Server: Second Edition

Elasticsearch Server: Second Edition - Second Edition

By : Rafal Kuc, Marek Rogozinski
4.3 (13)
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Elasticsearch Server: Second Edition

Elasticsearch Server: Second Edition

4.3 (13)
By: Rafal Kuc, Marek Rogozinski

Overview of this book

This book begins by introducing the most commonly used Elasticsearch server functionalities, from creating your own index structure, through querying, faceting, and aggregations, and ends with cluster monitoring and problem diagnosis. As you progress through the book, you will cover topics such as starting Elasticsearch, creating a new index, and designing its proper structure. After that, you'll read about the query API that Elasticsearch exposes, as well as about filtering capabilities, aggregations, and faceting. Last but not least, you will get to know how to find similar documents by using similar functionalities and how to implement application alerts by using the prospective search functionality called percolator. Some advanced topics such as shard allocation control, gateway configuration, and how to use the discovery module will also be discussed. This book will also show you the possibilities of cluster state and health monitoring as well as how to use third-party tools.
Table of Contents (18 chapters)
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Elasticsearch Server Second Edition
Credits
About the Author
Acknowledgments
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1
Index

Summary


In this chapter, we learned how Elasticsearch querying works and how to choose the data we want returned. We saw how query rewrite works, what the search types are, and what search preference is. We learned about the basic queries available in Elasticsearch and filtered our results using filters. In addition to this, we discussed the highlighting functionality, which allowed us to highlight matches in our documents, and we validated our queries. We learned about compound queries that can group multiple queries together, and finally, we saw how to configure sorting to match our needs.

In the next chapter, we'll focus on indices again, but not only on indices. We'll learn how to index tree-like structures. We will see how to index data that is not flat by storing JSON objects in Elasticsearch, and how to modify the structure of an already created index. We'll also see how to handle relationships between documents using nested documents and parent-child functionality.

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Tech Concepts
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Programming languages
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