Book description
Search, analyze, store and manage data effectively with Elasticsearch 8.x
Key Features
- Explore the capabilities of Elasticsearch 8.x with easy-to-follow recipes
- Extend the Elasticsearch functionalities and learn how to deploy on Elastic Cloud
- Deploy and manage simple Elasticsearch nodes as well as complex cluster topologies
Book Description
Elasticsearch is a Lucene-based distributed search engine at the heart of the Elastic Stack that allows you to index and search unstructured content with petabytes of data. With this updated fifth edition, you'll cover comprehensive recipes relating to what's new in Elasticsearch 8.x and see how to create and run complex queries and analytics.
The recipes will guide you through performing index mapping, aggregation, working with queries, and scripting using Elasticsearch. You'll focus on numerous solutions and quick techniques for performing both common and uncommon tasks such as deploying Elasticsearch nodes, using the ingest module, working with X-Pack, and creating different visualizations. As you advance, you'll learn how to manage various clusters, restore data, and install Kibana to monitor a cluster and extend it using a variety of plugins. Furthermore, you'll understand how to 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 Elasticsearch cookbook, you'll have gained in-depth knowledge of implementing the Elasticsearch architecture and be able to manage, search, and store data efficiently and effectively using Elasticsearch.
What you will learn
- Become well-versed with the capabilities of X-Pack
- Optimize search results by executing analytics aggregations
- Get to grips with using text and numeric queries as well as relationship and geo queries
- Install Kibana to monitor clusters and extend it for plugins
- 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
Who this book is for
If you're a software engineer, big data infrastructure engineer, or Elasticsearch developer, you'll find this Elasticsearch book useful. The book will also help data professionals working in e-commerce and FMCG industries who use Elastic for metrics evaluation and search analytics to gain deeper insights and make better business decisions. Prior experience with Elasticsearch will help you get the most out of this book.
Table of contents
- Fifth Edition
- Fifth Edition
- Contributors
- About the author
- About the reviewers
- Preface
-
Chapter 1: Getting Started
- Technical requirements
- Downloading and installing Elasticsearch
- Setting up networking
- Setting up a node
- Setting up Linux systems
- Setting up different node roles
- Setting up a coordinating-only node
- Setting up an ingestion node
- Installing plugins in Elasticsearch
- Removing a plugin
- Changing logging settings
- Setting up a node via Docker
- Deploying on Elastic Cloud Enterprise
-
Chapter 2: Managing Mappings
- Technical requirements
- 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 a child document with a join field
- Adding a field with multiple mappings
- Mapping a GeoPoint field
- Mapping a GeoShape field
- Mapping an IP field
- Mapping an Alias field
- Mapping a Percolator field
- Mapping the Rank Feature and Feature Vector fields
- Mapping the Search as you type field
- Using the Range Fields type
- Using the Flattened field type
- Using the Point and Shape field types
- Using the Dense Vector field type
- Using the Histogram field type
- Adding metadata to a mapping
- Specifying different analyzers
- Using index components and templates
-
Chapter 3: Basic Operations
- Technical requirements
- Creating an index
- Deleting an index
- Opening or closing an index
- Putting a mapping in an index
- Getting a mapping
- Reindexing an index
- Refreshing an index
- Flushing an index
- Using ForceMerge on an index
- Shrinking an index
- Checking whether an index exists
- Managing index settings
- Using index aliases
- Managing dangling indices
- Resolving index names
- Rolling over an index
- Indexing a document
- Getting a document
- Deleting a document
- Updating a document
- Speeding up atomic operations (bulk operations)
- Speeding up GET operations (multi-GET)
-
Chapter 4: Exploring Search Capabilities
- Technical requirements
- 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 of the documents
- Using a Boolean query
- Using the search template
-
Chapter 5: Text and Numeric Queries
- Technical requirements
- Using a term query
- Using a terms query
- Using a terms set query
- Using a prefix query
- Using a wildcard query
- Using a regexp query
- Using span queries
- Using a match query
- Using a query string query
- Using a simple query string query
- Using the range query
- Using an IDs query
- Using the function score query
- Using the exists query
- Using a pinned query (XPACK)
- Chapter 6: Relationships and Geo Queries
-
Chapter 7: Aggregations
- Executing an aggregation
- Executing a stats aggregation
- Executing a terms aggregation
- Executing a significant terms aggregation
- Executing a range aggregation
- Executing a histogram aggregation
- Executing a date histogram aggregation
- Executing a filter aggregation
- Executing a filters aggregation
- Executing a global aggregation
- Executing a geo distance aggregation
- Executing a children aggregation
- Executing a nested aggregation
- Executing a top hit aggregation
- Executing a matrix stats aggregation
- Executing a geo bounds aggregation
- Executing a geo centroid aggregation
- Executing a geotile grid aggregation
- Executing a sampler aggregation
- Executing a pipeline aggregation
-
Chapter 8: Scripting in Elasticsearch
- Painless scripting
- Installing additional scripting languages
- Managing scripts
- Sorting data using scripts
- Computing return fields with scripting
- Filtering a search using scripting
- Using scripting in aggregations
- Updating a document using scripts
- Reindexing with a script
- Scripting in ingest processors
-
Chapter 9: Managing Clusters
- Controlling the cluster health using the health API
- Controlling the cluster state using the API
- Getting cluster node information using the API
- Getting node statistics using the API
- Using the task management API
- Using the hot threads API
- Managing the shard allocation
- Monitoring segments with the segment API
- Cleaning the cache
- Chapter 10: Backups and Restoring Data
- Chapter 11: User Interfaces
- Chapter 12: Using the Ingest Module
-
Chapter 13: Java Integration
- Creating a standard Java HTTP client
- Creating a low-level Elasticsearch client
- Using the Elasticsearch official Java client
- Managing indices
- Managing mappings
- Managing documents
- Managing bulk actions
- Building a query
- Executing a standard search
- Executing a search with aggregations
- Executing a scroll search
- Integrating with DeepLearning4j
- Chapter 14: Scala Integration
- Chapter 15: Python Integration
- Chapter 16: Plugin Development
- Chapter 17: Big Data Integration
- Chapter 18: X-Pack
- Other Books You May Enjoy
Product information
- Title: Elasticsearch 8.x Cookbook - Fifth Edition
- Author(s):
- Release date: May 2022
- Publisher(s): Packt Publishing
- ISBN: 9781801079815
You might also like
book
Elasticsearch: The Definitive Guide
Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine …
book
Elasticsearch in Action, Second Edition
Build powerful, production-ready search applications using the incredible features of Elasticsearch. In Elasticsearch in Action, Second …
video
Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On
Elasticsearch 8 is a powerful tool for analyzing big datasets in a matter of milliseconds! It’s …
book
MongoDB: The Definitive Guide, 3rd Edition
Manage your data with a system designed to support modern application development. Updated for MongoDB 4.2, …
