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Learning Elasticsearch

You're reading from  Learning Elasticsearch

Product type Book
Published in Jun 2017
Publisher Packt
ISBN-13 9781787128453
Pages 404 pages
Edition 1st Edition
Languages
Author (1):
Abhishek Andhavarapu Abhishek Andhavarapu
Profile icon Abhishek Andhavarapu

Table of Contents (11) Chapters

Preface 1. Introduction to Elasticsearch 2. Setting Up Elasticsearch and Kibana 3. Modeling Your Data and Document Relations 4. Indexing and Updating Your Data 5. Organizing Your Data and Bulk Data Ingestion 6. All About Search 7. More Than a Search Engine (Geofilters, Autocomplete, and More) 8. How to Slice and Dice Your Data Using Aggregations 9. Production and Beyond 10. Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Core data types

In this section, we will discuss the core data types supported by Elasticsearch. You can set the mapping using the Mapping API.

Text

Starting Elasticsearch 5.0, the string data type is deprecated and replaced by the text and keyword data types. If you want to perform a full-text search as we discussed in the previous section, you should use text data type. If you only want an exact match, you should use keyword data type. We will discuss keyword data type in the next section.

Let's take the same example we used in Chapter 1, Introduction to Elasticsearch. We have a document containing the following fields:

{
"date": "2017-01-01",
"description": "Yosemite national...
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