Book Image

Mastering Elastic Stack

By : Ravi Kumar Gupta, Yuvraj Gupta
Book Image

Mastering Elastic Stack

By: Ravi Kumar Gupta, Yuvraj Gupta

Overview of this book

Even structured data is useless if it can’t help you to take strategic decisions and improve existing system. If you love to play with data, or your job requires you to process custom log formats, design a scalable analysis system, and manage logs to do real-time data analysis, this book is your one-stop solution. By combining the massively popular Elasticsearch, Logstash, Beats, and Kibana, elastic.co has advanced the end-to-end stack that delivers actionable insights in real time from almost any type of structured or unstructured data source. If your job requires you to process custom log formats, design a scalable analysis system, explore a variety of data, and manage logs, this book is your one-stop solution. You will learn how to create real-time dashboards and how to manage the life cycle of logs in detail through real-life scenarios. This book brushes up your basic knowledge on implementing the Elastic Stack and then dives deeper into complex and advanced implementations of the Elastic Stack. We’ll help you to solve data analytics challenges using the Elastic Stack and provide practical steps on centralized logging and real-time analytics with the Elastic Stack in production. You will get to grip with advanced techniques for log analysis and visualization. Newly announced features such as Beats and X-Pack are also covered in detail with examples. Toward the end, you will see how to use the Elastic stack for real-world case studies and we’ll show you some best practices and troubleshooting techniques for the Elastic Stack.
Table of Contents (19 chapters)
Mastering Elastic Stack
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Re-indexing data


Re-indexing data in Elasticsearch is a challenge when you have changed the schema or mappings of the fields. Upon changing the schema, you are either required to re-index all the documents of that field to incorporate mapping changes to previous documents stored, or to not re-index older documents, which will become useless with the change in schema.

Process of re-indexing data:

  1. Create a new index with the new mappings and settings.

  2. Take the documents from the old index and index it in a new index.

To minimize the effect and downtime of changing the schema and re-indexing, use the following approach.

Using aliases

Aliases are a powerful feature that can easily re-index the complete index data without any downtime. Alias can be considered as a nickname given to the index name. It can be considered as a symbolic link.

Let us see how to use aliases:

  • Create an index with its mapping and settings

  • Create an alias to point to the index name

After updating the schema/mappings:

  • Create a new...