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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)

What this book covers

Chapter 1, Introduction to Elasticsearch, describes the building blocks of Elasticsearch and what makes Elasticsearch scalable and distributed. In this chapter, we also discuss the strengths and limitations of Elasticsearch.

Chapter 2, Setting Up Elasticsearch and Kibana, covers the installation of Elasticsearch and Kibana.

Chapter 3, Modeling Your Data and Document Relations, focuses on modeling your data. To support text search, Elasticsearch preprocess the data before indexing. This chapter describes why preprocessing is necessary and various analyzers Elasticsearch supports. In addition to that, we discuss how to handle relationships between different document types.

Chapter 4, Indexing and Updating Your Data, covers how to index and update your data and what happens internally when you index and update. The data indexed in Elasticsearch is only available after a small delay, we discuss the reason for the delay and how to control the delay.

Chapter 5, Organizing Your Data and Bulk Data Ingestion, describes how to organize and manage indices in Elasticsearch using aliases and templates and more. This chapter also covers various Bulk API’s Elasticsearch supports and how to rebuild your existing indices using Reindex and Shrink API.

Chapter 6, All About Search, covers how to search, sort and paginate on your data. The concept of relevance is introduced and we discuss how to tune the relevance score to get the most relevant search results at the top.

Chapter 7, More Than a Search Engine (Geofilters, Autocomplete and More), covers how to filter based on geolocation, using Elasticsearch suggesters for autocomplete, correcting user typo’s and lot more.

Chapter 8, How to Slice and Dice Your Data Using Aggregations, covers different kinds of aggregations Elasticsearch supports and how to visualize the data using Kibana.

Chapter 9, Production and Beyond, covers important settings to configure and monitor in production.

Chapter 10, Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting), covers Elastic Cloud, which is managed cloud hosting and other products that are part of X-Pack.

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