Have you ever wondered what would happen if we reverse the traditional model of using queries to find documents in Elasticsearch? Does it make sense to have a document and search for queries matching it? It is not surprising that there is a whole range of solutions where this model is very useful. Whenever you operate on an unbounded stream of input data, where you search for the occurrences of particular events, you can use this approach. This can be used for the detection of failures in a monitoring system or for the "Tell me when a product with the defined criteria will be available in this shop" functionality. In this section, we will look at how an Elasticsearch percolator works and how we can use it to implement one of the aforementioned use cases.
Elasticsearch Server - Third Edition
By :
Elasticsearch Server - Third Edition
By:
Overview of this book
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.
Table of Contents (18 chapters)
Elasticsearch Server Third Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Free Chapter
Getting Started with Elasticsearch Cluster
Indexing Your Data
Searching Your Data
Extending Your Querying Knowledge
Extending Your Index Structure
Make Your Search Better
Aggregations for Data Analysis
Beyond Full-text Searching
Elasticsearch Cluster in Detail
Administrating Your Cluster
Scaling by Example
Index
Customer Reviews