Book description
Get the most out of Elasticsearch 7's new features to build, deploy, and manage efficient applications
Key Features
- Discover the new features introduced in Elasticsearch 7
- Explore techniques for distributed search, indexing, and clustering
- Gain hands-on knowledge of implementing Elasticsearch for your enterprise
Book Description
Elasticsearch is one of the most popular tools for distributed search and analytics. This Elasticsearch book highlights the latest features of Elasticsearch 7 and helps you understand how you can use them to build your own search applications with ease.
Starting with an introduction to the Elastic Stack, this book will help you quickly get up to speed with using Elasticsearch. You'll learn how to install, configure, manage, secure, and deploy Elasticsearch clusters, as well as how to use your deployment to develop powerful search and analytics solutions. As you progress, you'll also understand how to troubleshoot any issues that you may encounter along the way. Finally, the book will help you explore the inner workings of Elasticsearch and gain insights into queries, analyzers, mappings, and aggregations as you learn to work with search results.
By the end of this book, you'll have a basic understanding of how to build and deploy effective search and analytics solutions using Elasticsearch.
What you will learn
- Install Elasticsearch and use it to safely store data and retrieve it when needed
- Work with a variety of analyzers and filters
- Discover techniques to improve search results in Elasticsearch
- Understand how to perform metric and bucket aggregations
- Implement best practices for moving clusters and applications to production
- Explore various techniques to secure your Elasticsearch clusters
Who this book is for
This book is for software developers, engineers, data architects, system administrators, and anyone who wants to get up and running with Elasticsearch 7. No prior experience with Elasticsearch is required.
Table of contents
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Introduction to Elastic Stack
- Installing Elasticsearch
- Many as One – the Distributed Model
- Prepping Your Data – Text Analysis and Mapping
- Let's Do a Search!
-
Performance Tuning
-
Data sparsity
- Solutions to common problems
- How to tune for indexing speed
-
How to tune for search speed
- Allocating memory to the filesystem cache
- Using faster hardware
- Document modeling
- Searching as few fields as possible
- Pre-index data
- Mapping identifiers as keywords
- Avoiding scripts
- Searching with rounded dates
- Force-merging read-only indices
- Prepping global ordinals
- Prepping the filesystem cache
- Using index sorting for conjunctions
- Using preferences to optimize cache utilization
- Balancing replicas
- How to tune search queries with the Profile API
- How to tune for disk usage
- Summary
-
Data sparsity
-
Aggregating Datasets
- What is an aggregation framework?
- Metrics aggregations
-
Bucket aggregations
- Adjacency matrix aggregation
- Auto-interval date histogram aggregation
- Composite aggregation
- Date histogram aggregation
- Date range aggregation
- Filter/filters aggregation
- Geo distance aggregation
- Geohash grid aggregation
- Geotile grid aggregation
- Histogram aggregation
- Significant terms aggregation
- Significant text aggregation
- Terms aggregation
-
Pipeline aggregations
- Avg bucket aggregation
- Derivative aggregation
- Max bucket aggregation
- Min bucket aggregation
- Sum bucket aggregation
- Stats bucket aggregation
- Extended stats bucket aggregation
- Percentiles bucket aggregation
- Moving function aggregation
- Cumulative sum aggregation
- Bucket script aggregation
- Bucket selector aggregation
- Bucket sort aggregation
- Matrix aggregations
- Summary
- Best Practices
- Other Books You May Enjoy
Product information
- Title: Elasticsearch 7 Quick Start Guide
- Author(s):
- Release date: October 2019
- Publisher(s): Packt Publishing
- ISBN: 9781789803327
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