Elasticsearch 5.x Cookbook - Third Edition

Alberto Paro

• Editorial: Packt Publishing
• Año: 2017
• ISBN:
  9781786466884
• Edición: 3
• Categoría: Computer Science
• Categoría: Client-Server Computing

Over 170 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with Elasticsearch 5.xAbout This Book• 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.xWho This Book Is ForIf 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 applicationsIn DetailElasticsearch 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.Style and approachThis book follows a problem-solution approach to effectively use and manage Elasticsearch. Each recipe focuses on a particular task at hand, and is explained in a very simple, easy to understand manner.

Elasticsearch 5.x Cookbook Third Edition

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First published: December 2013

Second edition: January 2015

Third edition: February 2017

Production reference: 1310117

Published by Packt Publishing Ltd.

Livery Place

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Birmingham

B3 2PB, UK.

ISBN 978-1-78646-558-0

www.packtpub.com

Credits

Author Alberto Paro	Copy Editor Safis Editing
Reviewer Marcelo Ochoa	Project Coordinator Shweta H Birwatkar
Commissioning Editor Amey Varangaonkar	Proofreader Safis Editing
Acquisition Editor Divya Poojari	Indexer Rekha Nair
Content Development Editor Amrita Noronha	Production Coordinator Arvindkumar Gupta
Technical Editor Deepti Tuscano

About the Author

Alberto Paro is an engineer, project manager, and software developer. He currently works as freelance trainer/consultant on big data technologies and NoSQL solutions. He loves to study emerging solutions and applications mainly related to big data processing, NoSQL, natural language processing, and neural networks. He began programming in BASIC on a Sinclair Spectrum when he was eight years old, and to date, has collected a lot of experience using different operating systems, applications, and programming languages.

In 2000, he graduated in computer science engineering from Politecnico di Milano with a thesis on designing multiuser and multidevice web applications. He assisted professors at the university for about a year. He then came in contact with The Net Planet Company and loved their innovative ideas; he started working on knowledge management solutions and advanced data mining products. In summer 2014, his company was acquired by a big data technologies company, where he worked until the end of 2015 mainly using Scala and Python on state-of-the-art big data software (Spark, Akka, Cassandra, and YARN). In 2013, he started freelancing as a consultant for big data, machine learning, Elasticsearch and other NoSQL products. He has created or helped to develop big data solutions for business intelligence, financial, and banking companies all over the world. A lot of his time is spent teaching how to efficiently use big data solutions (mainly Apache Spark), NoSql datastores (Elasticsearch, HBase, and Accumulo) and related technologies (Scala, Akka, and Playframework). He is often called to present at big data or Scala events. He is an evangelist on Scala and Scala.js (the transcompiler from Scala to JavaScript).

In his spare time, when he is not playing with his children, he likes to work on open source projects. When he was in high school, he started contributing to projects related to the GNOME environment (gtkmm). One of his preferred programming languages is Python, and he wrote one of the first NoSQL backends on Django for MongoDB (Django-MongoDB-engine). In 2010, he began using Elasticsearch to provide search capabilities to some Django e-commerce sites and developed PyES (a Pythonic client for Elasticsearch), as well as the initial part of the Elasticsearch MongoDB river. He is the author of Elasticsearch Cookbook as well as a technical reviewer of Elasticsearch Server-Second Edition, Learning Scala Web Development, and the video course, Building a Search Server with Elasticsearch, all of which are published by Packt Publishing.

It would have been difficult for me to complete this book without the support of a large number of people.

First, I would like to thank my wife, my children and the rest of my family for their support.

A personal thanks to my best friends, Mauro and Michele, and to all the people that helped me and my family.

I'd like to express my gratitude to everyone at Packt Publishing who are involved in the development and production of this book. I'd like to thank Amrita Noronha for guiding this book to completion and Deepti Tuscano and Marcelo Ochoa for patiently going through the first draft and providing their valuable feedback. Their professionalism, courtesy, good judgment, and passion for books are much appreciated.

About the Reviewer

Marcelo Ochoa works at the system laboratory of Facultad de Ciencias Exactas of the Universidad Nacional del Centro de la Provincia de Buenos Aires and is the CTO at Scotas.com, a company that specializes in near real-time search solutions using Apache Solr and Oracle. He divides his time between university jobs and external projects related to Oracle and big data technologies. He has worked on several Oracle-related projects, such as the translation of Oracle manuals and multimedia CBTs. His background is in database, network, web, and Java technologies. In the XML world, he is known as the developer of the DB Generator for the Apache Cocoon project. He has worked on the open source projects DBPrism and DBPrism CMS, the Lucene-Oracle integration using the Oracle JVM Directory implementation, and the Restlet.org project, where he worked on the Oracle...