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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)

Specialized data type

Elasticsearch supports the following specialized data types:

  • IP: This is used to store IP address
  • Completion: This is used to support the auto-complete feature
  • Percolator: This is used to support reverse search

We will discuss IP data type in the next section. Completion and percolator are best explained with examples, and we will discuss them in detail in Chapter 7, More than a search engine.

IP

In the previous section, we discussed geo data type, which is used to store location-based data. In this section, we will discuss IP data type, which is used to store IP addresses. Both IPv4 and IPv6 addresses are supported. For example, we have a login history document, and we want to store the IP address...

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