Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Mastering Elastic Stack
  • Table Of Contents Toc
  • Feedback & Rating feedback
Mastering Elastic Stack

Mastering Elastic Stack

By : Kumar Gupta, Gupta
1 (1)
close
close
Mastering Elastic Stack

Mastering Elastic Stack

1 (1)
By: Kumar Gupta, 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 (13 chapters)
close
close

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...

Unlock full access

Continue reading for free

A Packt free trial gives you instant online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech

Create a Note

Modal Close icon
You need to login to use this feature.
notes
bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Delete Note

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Edit Note

Modal Close icon
Write a note (max 255 characters)
Cancel
Update Note

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY