In Chapter 1, Getting Started with Elasticsearch Cluster, we saw how to index a particular document into Elasticsearch. It required opening an HTTP connection, sending the document, and closing the connection. Of course, we were not responsible for most of that as we used the curl
command, but in the background this is what happened. However, sending the documents one by one is not efficient. Because of that, it is now time to find out how to index a large number of documents in a more convenient and efficient way than doing so one by one.
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