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Author Dixit, Bharvi, author

Title Elasticsearch essentials : harness the power of Elasticsearch to build and manage scalable search and analytics solutions with this fast-paced guide / Bharvi Dixit
Published Birmingham, UK : Packt Publishing, 2016
Online access available from:
EBSCO eBook Academic Collection    View Resource Record  


Description 1 online resource (1 volume) : illustrations
Series Community experience distilled
Community experience distilled.
Contents Cover; Copyright; Credits; About the Author; Acknowledgments; About the Reviewer;; Table of Contents; Preface; Chapter 1: Getting Started with Elasticsearch; Introducing Elasticsearch; The primary features of Elasticsearch; Understanding REST and JSON; What is REST?; What is JSON?; Elasticsearch common terms; Understanding Elasticsearch structure with respect to relational databases; Installing and configuring Elasticsearch; Installing Elasticsearch on Ubuntu through Debian package; Installing Elasticsearch on Centos through the RPM package
Understanding the Elasticsearch installation directory layoutConfiguring basic parameters; Adding another node to the cluster; Installing Elasticsearch plugins; Checking for installed plugins; Installing the Head plugin for Elasticsearch; Installing Sense for Elasticsearch; Basic operations with Elasticsearch; Creating an Index; Indexing a document in Elasticsearch; Fetching documents; Get a complete document; Getting part of a document; Updating documents; Updating a whole document; Updating documents partially; Deleting documents; Checking documents' existence; Summary
Chapter 2: Understanding Document Analysis and Creating MappingsText search; TF-IDF; Inverted indexes; Document analysis; Introducing Lucene analyzers; Creating custom analyzers; Changing a default analyzer; Putting custom analyzers into action; Elasticsearch mapping; Document metadata fields; Data types and index analysis options; Configuring data types; Indexing the same field in different ways; Putting mappings in an index; Viewing mappings; Updating mappings; Summary; Chapter 3: Putting Elasticsearch into Action; CRUD operations using elasticsearch-py; Setting up the environment
Installing PipInstalling virtualenv; Installing elasticsearch-py; Performing CRUD operations; Request timeouts; Creating indexes with settings and mappings; Indexing documents; Retrieving documents; Updating documents; Appending a value in an array; Updates using doc; Checking document existence; Deleting a document; CRUD operations using Java; Connecting with Elasticsearch; Indexing a document; Fetching a document ; Updating a document; Deleting documents; Creating a search database; Elasticsearch Query-DSL; Understanding Query-DSL parameters; Query types; Full-text search queries; match_all
Match querymulti match; query_string; Term-based search queries; Term query; Terms query; Range queries; Exists queries; Missing queries; Compound queries; Bool queries; Not queries; Search requests using Python; Search requests using Java; Parsing search responses; Sorting your data; Sorting documents by field values; Sorting on more than one field; Sorting multivalued fields; Sorting on string fields; Document routing; Summary; Chapter 4: Aggregations for Analytics; Introducing the aggregation framework; Aggregation syntax; Extracting values; Returning only aggregation results
Summary Annotation Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guideAbout This Book New to ElasticSearch? Here's what you needa highly practical guide that gives you a quick start with ElasticSearch using easy-to-follow examples; get up and running with ElasticSearch APIs in no time Get the latest guide on ElasticSearch 2.0.0, which contains concise and adequate information on handling all the issues a developer needs to know while handling data in bulk with search relevancy Learn to create large-scale ElasticSearch clusters using best practices Learn from our expertswritten by Bharvi Dixit who has extensive experience in working with search servers (especially ElasticSearch)Who This Book Is ForAnyone who wants to build efficient search and analytics applications can choose this book. This book is also beneficial for skilled developers, especially ones experienced with Lucene or Solr, who now want to learn Elasticsearch quickly.What You Will Learn Get to know about advanced Elasticsearch concepts and its REST APIs Write CRUD operations and other search functionalities using the ElasticSearch Python and Java clients Dig into wide range of queries and find out how to use them correctly Design schema and mappings with built-in and custom analyzers Excel in data modeling concepts and query optimization Master document relationships and geospatial data Build analytics using aggregations Setup and scale Elasticsearch clusters using best practices Learn to take data backups and secure Elasticsearch clustersIn DetailWith constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store.This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we'll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.Style and approachThis is an easy-to-follow guide with practical examples and clear explanations of the concepts. This fast-paced book believes in providing very rich content focusing majorly on practical implementation. This book will provide you with step-by-step practical examples, letting you know about the common errors and solutions along with ample screenshots and code to ensure your success
Notes Includes index
Description based on online resource; title from cover (Safari, viewed February 12, 2016)
Subject Lucene (Electronic resource)
Lucene (Electronic resource)
Search engines -- Programming.
Client/server computing -- Software
Querying (Computer science)
Database searching.
online searching.
COMPUTERS -- Data Processing.
COMPUTERS -- Programming Languages -- Python.
LANGUAGE ARTS & DISCIPLINES / Library & Information Science / General
Database searching.
Client/server computing.
Querying (Computer science)
Search engines -- Programming.
Genre/Form Software.
Form Electronic book
ISBN 1784390887
Other Titles Harness the power of Elasticsearch to build and manage scalable search and analytics solutions with this fast-paced guide