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Mastering Kibana 6.x

You're reading from   Mastering Kibana 6.x Visualize your Elastic Stack data with histograms, maps, charts, and graphs

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788831031
Length 376 pages
Edition 1st Edition
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Author (1):
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Anurag Srivastava Anurag Srivastava
Author Profile Icon Anurag Srivastava
Anurag Srivastava
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Table of Contents (16) Chapters Close

Preface 1. Revising the ELK Stack FREE CHAPTER 2. Setting Up and Customizing the Kibana Dashboard 3. Exploring Your Data 4. Visualizing the Data 5. Dashboarding to Showcase Key Performance Indicators 6. Handling Time Series Data with Timelion 7. Interact with Your Data Using Dev Tools 8. Tweaking Your Configuration with Kibana Management 9. Understanding X-Pack Features 10. Machine Learning with Kibana 11. Create Super Cool Dashboard from a Web Application 12. Different Use Cases of Kibana 13. Creating Monitoring Dashboards Using Beats 14. Best Practices 15. Other Books You May Enjoy

.es function parameters


The .es function is used to pull the data from the Elasticsearch instance. The .es function can have multiple parameters and each parameter has a name that can be set inside the parentheses to set the value of that property. The parameter also has an order and we must follow the order to run the expression. If we skip the name of the parameter, Timelion will automatically assign the name as per the chosen order for the values. Now, let's speak about the parameters:

  • The first parameter is q, which is used in queries and is used to filter the data based on the given value:
.es(q=*)
.es(q=country:de)
  • The second parameter is index, which can be used to specify the name of the Elasticsearch index on which we will perform the operations. In this way, we can apply the query on a single index instead of multiple indices:
.es(index=metricbeat-*)
.es(q='some query', index=logstash-*)
  • Another parameter is metric in which we can specify the type of metric we want to apply on the index...
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