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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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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Elasticsearch Cluster 2. Indexing Your Data FREE CHAPTER 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

Querying Elasticsearch

So far, when we havesearched our data, we used the REST API and a simple query or the GET request. Similarly, when we were changing the index, we also used the REST API and sent the JSON-structured data to Elasticsearch. Regardless of the type of operation we wanted to perform, whether it was a mapping change or document indexation, we used JSON structured request body to inform Elasticsearch about the operation details.

A similar situation happens when we want to send more than a simple query to Elasticsearch, we structure it using the JSON objects and send it to Elasticsearch in the request body. This is called the query DSL. In a broader view, Elasticsearch supports two kinds of queries: basic ones and compound ones. Basic queries, such as the term query, are used for querying the actual data. We will cover these in the Basic queries section of this chapter. The second type of query is the compound query, such as the bool query, which can combine multiple queries...

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