Book description
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.
Table of contents
-
Elasticsearch Server Third Edition
- Table of Contents
- Elasticsearch Server Third Edition
- Credits
- About the Authors
- About the Reviewer
- www.PacktPub.com
- Preface
-
1. Getting Started with Elasticsearch Cluster
- Full text searching
- The basics of Elasticsearch
- Installing and configuring your cluster
- Manipulating data with the REST API
- Searching with the URI request query
- Summary
- 2. Indexing Your Data
-
3. Searching Your Data
- Querying Elasticsearch
- Understanding the querying process
-
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 multi match query
- The query string query
- 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
- Using span queries
- Choosing the right query
- Summary
- 4. Extending Your Querying Knowledge
- 5. Extending Your Index Structure
-
6. Make Your Search Better
- Introduction to Apache Lucene scoring
- Scripting capabilities of Elasticsearch
- Searching content in different languages
- Influencing scores with query boosts
- When does index-time boosting make sense?
- Words with the same meaning
- Understanding the explain information
- Summary
-
7. Aggregations for Data Analysis
- Aggregations
- Aggregation types
- Pipeline aggregations
- Summary
- 8. Beyond Full-text Searching
- 9. Elasticsearch Cluster in Detail
-
10. Administrating Your Cluster
- Elasticsearch time machine
- Monitoring your cluster's state and health
- Controlling the shard and replica allocation
- Controlling cluster rebalancing
- The Cat API
- Warming up
- Index aliasing and using it to simplify your everyday work
- Summary
-
11. Scaling by Example
- Hardware
- Preparing a single Elasticsearch node
- Horizontal expansion
- Preparing the cluster for high indexing and querying throughput
- Monitoring
- Summary
- Index
Product information
- Title: Elasticsearch Server - Third Edition
- Author(s):
- Release date: February 2016
- Publisher(s): Packt Publishing
- ISBN: 9781785888816
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