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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 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

Compound queries

In the Basic queries section of this chapter, we discussed the simplest queries exposed by Elasticsearch. We also talked about the position aware queries called span queries in the Span queries section. However, the simple ones and the span queries are not the only queries that Elasticsearch provides. The compound queries, as we call them, allow us to connect multiple queries together or alter the behavior of other queries. You may wonder if you need such functionality. Your deployment may not need it, but anything apart from a simple query will probably require compound queries. For example, combining a simple term query with a match_phrase query to get better search results may be a good candidate for compound queries usage.

The bool query

The bool query allows us to wrap a virtually unbounded number of queries and connect them with a logical value using one of the following sections:

  • should: The query wrapped into this section may or may not match. The number of should...
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