- 556 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Elasticsearch Server - Third Edition
About this book
Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease
About This Book
- Boost the searching capabilities of your system through synonyms, multilingual data handling, nested objects and parent-child documents
- Deep dive into the world of data aggregation and data analysis with ElasticSearch
- Explore a wide range of ElasticSearch modules that define the behavior of a cluster
Who This Book Is For
If you are a competent developer and want to learn about the great and exciting world of ElasticSearch, then this book is for you. No prior knowledge of Java or Apache Lucene is needed.
What You Will Learn
- Configure, create, and retrieve data from your indices
- Use an ElasticSearch query DSL to create a wide range of queries
- Discover the highlighting and geographical search features offered by ElasticSearch
- Find out how to index data that is not flat or data that has a relationship
- Exploit a prospective search to search for queries not documents
- Use the aggregations framework to get more from your data and improve your client's search experience
- Monitor your cluster state and health using the ElasticSearch API as well as third-party monitoring solutions
- Discover how to properly set up ElasticSearch for various use cases
In Detail
ElasticSearch is a very fast and scalable open source search engine, designed with distribution and cloud in mind, complete with all the goodies that Apache Lucene has to offer. ElasticSearch's schema-free architecture allows developers to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses, even those with petabytes of unstructured data.
This book will guide you through the world of the most commonly used ElasticSearch server functionalities. You'll start off by getting an understanding of the basics of ElasticSearch and its data indexing functionality. Next, you will see the querying capabilities of ElasticSearch, followed by a through explanation of scoring and search relevance. After this, you will explore the aggregation and data analysis capabilities of ElasticSearch and will learn how cluster administration and scaling can be used to boost your application performance. You'll find out how to use the friendly REST APIs and how to tune ElasticSearch to make the most of it. By the end of this book, you will have be able to create amazing search solutions as per your project's specifications.
Style and approach
This step-by-step guide is full of screenshots and real-world examples to take you on a journey through the wonderful world of full text search provided by ElasticSearch.
Frequently asked questions
Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Elasticsearch Server - Third Edition by Rafal Kuc, Marek Rogozinski in PDF and/or ePUB format, as well as other popular books in Computer Science & Web Development. We have over one million books available in our catalogue for you to explore.
Information
Elasticsearch Server Third Edition
Table of Contents
Elasticsearch Server Third Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
eBooks, discount offers, and more
Why subscribe?
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Downloading the color images of this book
Errata
Piracy
Questions
1. Getting Started with Elasticsearch Cluster
Full text searching
The Lucene glossary and architecture
Input data analysis
Indexing and querying
Scoring and query relevance
The basics of Elasticsearch
Key concepts of Elasticsearch
Index
Document
Document type
Mapping
Key concepts of the Elasticsearch infrastructure
Nodes and clusters
Shards
Replicas
Gateway
Indexing and searching
Installing and configuring your cluster
Installing Java
Installing Elasticsearch
Running Elasticsearch
Shutting down Elasticsearch
The directory layout
Configuring Elasticsearch
The system-specific installation and configuration
Installing Elasticsearch on Linux
Installing Elasticsearch using RPM packages
Installing Elasticsearch using the DEB package
Elasticsearch configuration file localization
Configuring Elasticsearch as a system service on Linux
Elasticsearch as a system service on Windows
Manipulating data with the REST API
Understanding the REST API
Storing data in Elasticsearch
Creating a new document
Automatic identifier creation
Retrieving documents
Updating documents
Dealing with non-existing documents
Adding partial documents
Deleting documents
Versioning
Usage example
Versioning from external systems
Searching with the URI request query
Sample data
URI search
Elasticsearch query response
Query analysis
URI query string parameters
The query
The default search field
Analyzer
The default operator property
Query explanation
The fields returned
Sorting the results
The search timeout
The results window
Limiting per-shard results
Ignoring unavailable indices
The search type
Lowercasing term expansion
Wildcard and prefix analysis
Lucene query syntax
Summary
2. Indexing Your Data
Elasticsearch indexing
Shards and replicas
Write consistency
Creating indices
Altering automatic index creation
Settings for a newly created index
Index deletion
Mappings configuration
Type determining mechanism
Disabling the type determining mechanism
Tuning the type determining mechanism for numeric types
Tuning the type determining mechanism for dates
Index structure mapping
Type and types definition
Fields
Core types
Common attributes
String
Number
Boolean
Binary
Date
Multi fields
The IP address type
Token count type
Using analyzers
Out-of-the-box analyzers
Defining your own analyzers
Default analyzers
Different similarity models
Setting per-field similarity
Available similarity models
Configuring default similarity
Configuring BM25 similarity
Configuring DFR similarity
Configuring IB similarity
Batch indexing to speed up your indexing process
Preparing data for bulk indexing
Indexing the data
The _all field
The _source field
Additional internal fields
Introduction to segment merging
Segment merging
The need for segment merging
The merge policy
The merge scheduler
Throttling
Introduction to routing
Default indexing
Default searching
Routing
The routing parameters
Routing fields
Summary
3. Searching Your Data
Querying Elasticsearch
The example data
A simple query
Paging and result size
Returning the version value
Limiting the score
Choosing the fields that we want to return
Source filtering
Using the script fields
Passing parameters to the script fields
Understanding the querying process
Query logic
Search type
Search execution preference
Search shards API
Basic queries
The term query
The terms query
The match all query
The type query
The exists query
The missing query
The common terms query
The match query
The Boolean match query
The phrase match query
The match phrase prefix query
The multi match query
The query string query
Running the query string query against multiple fields
The simple query string query
The identifiers query
The prefix query
The fuzzy query
The wildcard query
The range query
Regular expression query
The more like this query
Compound queries
The bool query
The dis_max query
The boosting query
The constant_score query
The indices query
Using span queries
A span
Span term query
Span first query
Span near query
Span or query
Span not query
Span within query
Span containing query
Span multi query
Performance considerations
Choosing the right query
The use cases
Limiting results to given tags
Searching for values in a range
Boosting some of the matched documents
Ignoring lower scoring partial queries
Using Lucene query syntax in queries
Handling user queries without errors
Autocomplete using prefixes
Finding terms similar to a given one
Matching phrases
Spans, spans everywhere
Summary
4. Extending Your Querying Knowledge
Filtering your results
The context is the key
Explicit filtering with bool query
Highlighting
Getting started with highlighting
Field configuration
Under the hood
Forcing highlighter type
Configuring HTML tags
Controlling highlighted fragments
Global and local settings
Require matching
Custom highlighting query
The Postings highlighter
Validating your queries
Using the Validate API
Sorting data
Default sorting
Selecting fields used for sorting
Sorting mode
Specifying behavior for missing fields
Dynamic criteria
Calculate scoring when sorting
Query rewrite
Prefix query as an example
Getting back to Apache Lucene
Query rewrite properties
Summary
5. Extending Your Index Structure
Indexing tree-like structures
Data structure
Analysis
Indexing data that is not flat
Data
Objects
Arrays
Mappings
Final mappings
Sending the mappings to Elasticsearch
To be or not to be dynamic
Disabling object indexing
Using nested object...
Table of contents
- Elasticsearch Server Third Edition