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Elasticsearch Server: Second Edition

You're reading from   Elasticsearch Server: Second Edition From creating your own index structure through to cluster monitoring and troubleshooting, this is the complete guide to implementing the ElasticSearch search engine on your own websites. Packed with real-life examples.

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Product type Paperback
Published in Apr 2014
Publisher
ISBN-13 9781783980529
Length 428 pages
Edition Edition
Languages
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Toc

Table of Contents (18) Chapters Close

Elasticsearch Server Second Edition
Credits
About the Author
Acknowledgments
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with the Elasticsearch Cluster 2. Indexing Your Data FREE CHAPTER 3. Searching Your Data 4. Extending Your Index Structure 5. Make Your Search Better 6. Beyond Full-text Searching 7. Elasticsearch Cluster in Detail 8. Administrating Your Cluster Index

Sorting data


We now know how to build queries and filter the results. We also know what the search types are and why they matter. We can send these queries to Elasticsearch and analyze the returned data. For now, this data was organized in the order determined by the scoring. This is exactly what we want in most cases. The search operation should give us the most relevant documents first. However, what we can do if we want to use our search more like a database or set a more sophisticated algorithm to order data? Let's check what Elasticsearch can do with a sorting function.

Default sorting

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

{
  "query" : {
    "terms" : {
      "title" : [ "crime", "front", "punishment" ],
      "minimum_match" : 1
    }
  }
}

Under the hood, Elasticsearch sees this as follows:

{
  "query" : {
    "terms" : {
       "title" : [ "crime", "front", "punishment" ],
       "minimum_match" : 1
    }
  },
  "sort"...
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