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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 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

Indexing data that is not flat

Not all data is flat like the examples we have used in the book until now. Most of the data you will encounter will have some structure and nested objects inside the root JSON object. Of course, if we are building our system that Elasticsearch will be a part of and we are in control of all the pieces of it, we can create a structure that is convenient for Elasticsearch. But even in such cases, flat data is not always an option. Thankfully, Elasticsearch allows us to index data that is not flat and this section will show us how to do that.

Data

Let's assume that we have the following data (we store it in the file called structured_data.json):

{
  "author" : {
    "name" : {
      "firstName" : "Fyodor",
      "lastName" : "Dostoevsky"
    }
  },
  "isbn" : "123456789",
  "englishTitle" : "Crime and Punishment",
  "year" : 1886,
  "characters...
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