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Learning Elasticsearch

You're reading from   Learning Elasticsearch Structured and unstructured data using distributed real-time search and analytics

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787128453
Length 404 pages
Edition 1st Edition
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Author (1):
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Abhishek Andhavarapu Abhishek Andhavarapu
Author Profile Icon Abhishek Andhavarapu
Abhishek Andhavarapu
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Elasticsearch FREE CHAPTER 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)

Indexing and Updating Your Data

In the previous chapter, we discussed how to model your data. In this chapter, we will discuss how to index and update your data. We will start by discussing how to index and what happens when you index a document. Elasticsearch is a near real-time system, meaning the data you index is available for search only after a small delay. We will discuss the reason for this delay and how we can control the delay. This chapter will also show you various ways to update your data and we will discuss what happens when you update a document and why updates are expensive.

In this chapter, we will cover the following:

  • Indexing your data
  • Updating your data
  • Using Kibana to discover
  • Using Elasticsearch in your application
  • How Elasticsearch handles concurrency
  • How primary and replica shards interact
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