Elasticsearch 5.x cookbook : over 170 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with Elasticsearch 5.x / Alberto Paro.

Format:

Book

Author/Creator:

Paro, Alberto, author.

Language:

English

Subjects (All):

Lucene (Electronic resource).

Application software.

Client/server computing.

Physical Description:

1 online resource (686 pages) : illustrations

Edition:

Third edition.

Place of Publication:

Birmingham, [England] ; Mumbai, [India] : Packt, 2017.

System Details:

text file

Biography/History:

Paro Alberto: Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.

Summary:

Over 170 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with Elasticsearch 5.x About 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.x Who This Book Is 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 In Detail 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. Style and approach This 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. Downloading the ex...

Contents:

Cover

Copyright

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Table of Contents

Preface

Chapter 1: Getting Started

Introduction

Understanding node and cluster

Getting ready

How it work…

There's more…

See also

Understanding node services

How it works…

Managing your data

Best practices

Understanding cluster, replication, and sharding

Best practice

Solving the yellow status

Solving the red status

Communicating with Elasticsearch

Using the HTTP protocol

How to do it…

Using the native protocol

Chapter 2: Downloading and Setup

Downloading and installing Elasticsearch

Setting up networking

Setting up a node

Setting up for Linux systems

Setting up different node types

Setting up a client node

Setting up an ingestion node

Installing plugins in Elasticsearch

Installing plugins manually

Removing a plugin

How to do it….

How it works…

Changing logging settings

Setting up a node via Docker

Chapter 3: Managing Mappings

Using explicit mapping creation

Mapping base types

Mapping arrays

Mapping an object

Mapping a document

Using dynamic templates in document mapping

Managing nested objects

Managing child document

Adding a field with multiple mapping

Mapping a GeoPoint field

Mapping a GeoShape field

How to do it

Mapping an IP field

Mapping an attachment field

Adding metadata to a mapping

Specifying a different analyzer

Mapping a completion field

Chapter 4: Basic Operations

Creating an index.

Getting ready

Deleting an index

Opening/closing an index

Putting a mapping in an index

Getting a mapping

Reindexing an index

Refreshing an index

Flushing an index

ForceMerge an index

Shrinking an index

Checking if an index or type exists

Managing index settings

Using index aliases

Rollover an index

Indexing a document

Getting a document

There is more…

Deleting a document

Updating a document

Speeding up atomic operations (bulk operations)

Speeding up GET operations (multi GET)

See also….

Chapter 5: Search

Executing a search

Sorting results

Highlighting results

Executing a scrolling query

Using the search_after functionality

Returning inner hits in results

Suggesting a correct query

Counting matched results

Explaining a query

Query profiling

Deleting by query

Updating by query

Matching all the documents

Using a boolean query

Chapter 6: Text and Numeric Queries

Using a term query

Using a terms query

Using a prefix query

Using a wildcard query

Using a regexp query

See also.

Using span queries

Using a match query

Using a query string query

Using a simple query string query

Using the range query

The common terms query

Using IDs query

Using the function score query

Using the exists query

Using the template query

Chapter 7: Relationships and Geo Queries

Using the has_child query

Using the has_parent query

Using nested queries

Using the geo_bounding_box query

Using the geo_polygon query

Using the geo_distance query

Using the geo_distance_range query

Chapter 8: Aggregations

Executing an aggregation

Executing stats aggregations

How it works….

See also.

Notes:

Includes index.

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (ebrary, viewed February 28, 2017).

ISBN:

1-78646-688-0

OCLC:

974372940