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Mastering Elastic Stack

You're reading from   Mastering Elastic Stack Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios.

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786460011
Length 526 pages
Edition 1st Edition
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Authors (2):
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Ravi Kumar Gupta Ravi Kumar Gupta
Author Profile Icon Ravi Kumar Gupta
Ravi Kumar Gupta
Yuvraj Gupta Yuvraj Gupta
Author Profile Icon Yuvraj Gupta
Yuvraj Gupta
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Toc

Table of Contents (13) Chapters Close

Preface 1. Elastic Stack Overview FREE CHAPTER 2. Stepping into Elasticsearch 3. Exploring Logstash and Its Plugins 4. Kibana Interface 5. Using Beats 6. Elastic Stack in Action 7. Customizing Elastic Stack 8. Elasticsearch APIs 9. X-Pack: Security and Monitoring 10. X-Pack: Alerting, Graph, and Reporting 11. Best Practices 12. Case Study-Meetup

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...
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