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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

Querying and Searching data


The search box is used to perform various types of queries that fetch the matching documents. Upon searching, the whole Discover page along with its components gets automatically refreshed. Kibana uses the underlying powerful capabilities of Lucene query syntax using the data that is queried. As Kibana utilizes the functionality of the underlying Elasticsearch, Lucene queries provide the ability to perform various types of searches ranging from simple to complex queries.

Lucene queries provide a number of ways to search data. Let's look at these one by one.

Full-text searches

This is used to search for a term within the complete text. The different ways to search for full-text are shown as follows:

  • Search for the single term:

    Example: To search for a phrase, type elasticsearch kibana in the search bar.

  • Search for a phrase (group of words):

    Example: To search for a single term, type kibana in the search bar.

    Note

    By default, phrases use, OR Boolean operator to search for...

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