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Elasticsearch 5.x Cookbook
Elasticsearch 5.x Cookbook

Elasticsearch 5.x Cookbook: Distributed Search and Analytics , Third Edition

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Elasticsearch 5.x Cookbook

Chapter 1. Getting Started

In this chapter, we will cover the following recipes:

  • Understanding node and cluster

  • Understanding node services

  • Managing your data

  • Understanding cluster, replication, and sharding

  • Communicating with Elasticsearch

  • Using the HTTP protocol

  • Using the native protocol

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Key benefits

  • Deploy and manage simple Elasticsearch nodes as well as complex cluster topologies
  • Write native plugins to extend the functionalities of Elasticsearch 5.x to boost your business
  • Packed with clear, step-by-step recipes to walk you through the capabilities of Elasticsearch 5.x

Description

Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. This book is your one-stop guide to master the complete Elasticsearch ecosystem. We’ll guide you through comprehensive recipes on what’s new in Elasticsearch 5.x, showing you how to create complex queries and analytics, and perform index mapping, aggregation, and scripting. Further on, you will explore the modules of Cluster and Node monitoring and see ways to back up and restore a snapshot of an index. You will understand how to install Kibana to monitor a cluster and also to extend Kibana for plugins. Finally, you will also see how you can integrate your Java, Scala, Python, and Big Data applications such as Apache Spark and Pig with Elasticsearch, and add enhanced functionalities with custom plugins. By the end of this book, you will have an in-depth knowledge of the implementation of the Elasticsearch architecture and will be able to manage data efficiently and effectively with Elasticsearch.

Who is this book for?

If you are a developer who wants to get the most out of Elasticsearch for advanced search and analytics, this is the book for you. Some understanding of JSON is expected. If you want to extend Elasticsearch, understanding of Java and related technologies is also required.

What you will learn

  • Choose the best Elasticsearch cloud topology to deploy and power it up with external plugins
  • Develop tailored mapping to take full control of index steps
  • Build complex queries through managing indices and documents
  • Optimize search results through executing analytics aggregations
  • Monitor the performance of the cluster and nodes
  • Install Kibana to monitor cluster and extend Kibana for plugins
  • Integrate Elasticsearch in Java, Scala, Python and Big Data applications

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 06, 2017
Length: 696 pages
Edition : 3rd
Language : English
ISBN-13 : 9781786466884
Vendor :
Elastic
Category :

What do you get with eBook?

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Product Details

Publication date : Feb 06, 2017
Length: 696 pages
Edition : 3rd
Language : English
ISBN-13 : 9781786466884
Vendor :
Elastic
Category :

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Frequently bought together


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Total 120.97
Elasticsearch 5.x Cookbook
€45.99
Learning Kibana 5.0
€32.99
Mastering Elasticsearch 5.x
€41.99
Total 120.97 Stars icon

Table of Contents

18 Chapters
Getting Started Chevron down icon Chevron up icon
Downloading and Setup Chevron down icon Chevron up icon
Managing Mappings Chevron down icon Chevron up icon
Basic Operations Chevron down icon Chevron up icon
Search Chevron down icon Chevron up icon
Text and Numeric Queries Chevron down icon Chevron up icon
Relationships and Geo Queries Chevron down icon Chevron up icon
Aggregations Chevron down icon Chevron up icon
Scripting Chevron down icon Chevron up icon
Managing Clusters and Nodes Chevron down icon Chevron up icon
Backup and Restore Chevron down icon Chevron up icon
User Interfaces Chevron down icon Chevron up icon
Ingest Chevron down icon Chevron up icon
Java Integration Chevron down icon Chevron up icon
Scala Integration Chevron down icon Chevron up icon
Python Integration Chevron down icon Chevron up icon
Plugin Development Chevron down icon Chevron up icon
Big Data Integration Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.5
(4 Ratings)
5 star 0%
4 star 0%
3 star 50%
2 star 50%
1 star 0%
Charles Apr 15, 2017
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
The book contains many single recipes for many things people do with elastic.For instance 1 recipe is "indexing a document" and another is "aggregation with a filter"The recipes are nothing you can't find online and some of them are worthless, like a good chunk of the book are recipes for scala and python apis which don't really belong in a book about elasticsearch. There's also a lot written on plugin development and web UIs for elastic..I would recommend it if you need an elastic reference for when google is unavailable - and there's a few good tips on in depth technical stuff but its not a great book if you want to learn advanced elasticsearch things you can't find online.
Amazon Verified review Amazon
Rajeev Goel Sep 25, 2017
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
Not upto mark, Coding examples are using syntax from Elasticsearch -5.0. Advanced features are not explained well.
Amazon Verified review Amazon
jbdemonte Mar 23, 2017
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
Je m'attendais à un vrai cookbook, j'ai rien trouvé de plus dans ce boucain que je n'avais dans les autres
Amazon Verified review Amazon
G.S May 10, 2018
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
Not well written, apparently written in another language originally and translated to English and it shows.
Amazon Verified review Amazon
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