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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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Marek Rogozinski Marek Rogozinski
Author Profile Icon Marek Rogozinski
Marek Rogozinski
Rafal Kuc Rafal Kuc
Author Profile Icon Rafal Kuc
Rafal Kuc
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Table of Contents (18) Chapters Close

Elasticsearch Server Third Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
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

Sorting data


So far we've run our queries and got the results in the order determined by the score of each document. However, it is not enough for all the use cases. It is really handy to be able to sort our results on the basis of the field values. For example, when you are searching logs or time-based data in general, you probably want to have the most recent data first. In addition to that, Elasticsearch allows us to control how the document such be sorted not only using field values, but also using more sophisticated sorting like ones that use scripts or sorting on fields that have multiple values. We will cover all that in this section.

Default sorting

Let's look at the following query that returns all the books with at least one of the specified words:

curl -XGET 'localhost:9200/library/book/_search?pretty' -d '{
  "query" : {
    "terms" : {
      "title" : [ "crime", "front", "punishment" ]
    }
  }
}'

Under the hood, we can imagine that Elasticsearch sees the preceding query as follows...

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