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Elasticsearch Server - Third Edition

Elasticsearch Server - Third Edition

By : Marek Rogozinski, Rafal Kuc
5 (1)
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Elasticsearch Server - Third Edition

Elasticsearch Server - Third Edition

5 (1)
By: Marek Rogozinski, Rafal Kuc

Overview of this book

ElasticSearch is a very fast and scalable open source search engine, designed with distribution and cloud in mind, complete with all the goodies that Apache Lucene has to offer. ElasticSearch’s schema-free architecture allows developers to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses, even those with petabytes of unstructured data. This book will guide you through the world of the most commonly used ElasticSearch server functionalities. You’ll start off by getting an understanding of the basics of ElasticSearch and its data indexing functionality. Next, you will see the querying capabilities of ElasticSearch, followed by a through explanation of scoring and search relevance. After this, you will explore the aggregation and data analysis capabilities of ElasticSearch and will learn how cluster administration and scaling can be used to boost your application performance. You’ll find out how to use the friendly REST APIs and how to tune ElasticSearch to make the most of it. By the end of this book, you will have be able to create amazing search solutions as per your project’s specifications.
Table of Contents (13 chapters)
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12
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" : [
    {
      "name" : "Raskolnikov"
    }, 
    {
      "name" : "Sofia"
    }
  ],
  "copies" : 0
}

As you can see the...

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