Elasticsearch 7.0 Cookbook,4th Edition
by: Alberto Paro
Print Length 页数: 724 pages
Edition 版次: 1
Language 语言: English
Publisher finelybook 出版社: Packt Publishing
Publication Date 出版日期: 2019-04-30
ISBN-10: 1789956501
ISBN-13: 9781789956504
Book Description
By finelybook
Search,analyze,and manage data effectively with Elasticsearch 7
Key Features
Extend Elasticsearch functionalities and learn how to deploy on Elastic Cloud
Deploy and manage simple Elasticsearch nodes as well as complex cluster topologies
Explore the capabilities of Elasticsearch 7 with easy-to-follow recipes
Book Description
By finelybook
Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. With this book,you’ll be guided through comprehensive recipes on what’s new in Elasticsearch 7,and see how to create and run complex queries and analytics.
Packed with recipes on performing index mapping,aggregation,and scripting using Elasticsearch,this fourth edition of Elasticsearch Cookbook will get you acquainted with numerous solutions and quick techniques for performing both every day and uncommon tasks such as deploying Elasticsearch nodes,integrating other tools to Elasticsearch,and creating different visualizations. You will install Kibana to monitor a cluster and also extend it using a variety of plugins. Finally,you will integrate your Java,Scala,Python,and big data applications such as Apache Spark and Pig with Elasticsearch,and create efficient data applications powered by enhanced functionalities and custom plugins.
By the end of this book,you will have gained in-depth knowledge of implementing Elasticsearch architecture,and you’ll be able to manage,search,and store data efficiently and effectively using Elasticsearch.
What you will learn
Create an efficient architecture with Elasticsearch
Optimize search results by executing analytics aggregations
Build complex queries by managing indices and documents
Monitor the performance of your cluster and nodes
Design advanced mapping to take full control of index steps
Integrate Elasticsearch in Java,Scala,Python,and big data applications
Install Kibana to monitor clusters and extend it for plugins
Who this book is for
If you’re a software engineer,big data infrastructure engineer,or Elasticsearch developer,you’ll find this book useful. This Elasticsearch book will also help data professionals working in the e-commerce and FMCG industry who use Elastic for metrics evaluation and search analytics to get deeper insights for better business decisions. Prior experience with Elasticsearch will help you get the most out of this book.
Table of Contents
Preface
Chapter 1: Getting Started
Chapter 2: Managing Mapping
Chapter 3: Basic Operations
Chapter 4: Exploring Search Capabilities
Chapter 5: Text and Numeric Queries
Chapter 6: Relationship and Geo Queries
Chapter 7: Aggregations
Chapter 8: Scripting in Elasticsearch
Chapter 9: Managing Clusters
Chapter 10: Backups and Restoring Data
Chapter 11: User Interfaces
Chapter 12: Using the Ingest Module
Chapter 13: Java Integration
Chapter 14: Scala Integration
Chapter 15: Python Integration
Chapter 16: Plugin Development
Chapter 17: Big Data Integration
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