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Learning ELK Stack

You're reading from   Learning ELK Stack Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781785887154
Length 206 pages
Edition 1st Edition
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Author (1):
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Saurabh Chhajed Saurabh Chhajed
Author Profile Icon Saurabh Chhajed
Saurabh Chhajed
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Toc

Putting data to Elasticsearch

Now that we have set up the data to be consumed by a CSV file into Logstash, followed by parsing and processing based on the data type needed, we now need to put the data in Elasticsearch so that we can index the different fields and consume them later via the Kibana interface.

We will use the output plugin of Logstash for an elasticsearch output.

A typical elasticsearch plugin configuration looks like this:

output {

  elasticsearch {

    action =>  # string (optional), default: "index"

    cluster =>  # string (optional)

    host =>  # string (optional)
   
    document_id =>  # string (optional), default: nil


    index =>  # string (optional), default: "logstash-%{+YYYY.MM.dd}"
    index_type =>  # string (optional)
    port =>  # string (optional)
    protocol =>  # string, one of ["node", "transport", "http"] (optional)
  }
}
  • action: This specifies what action to perform on incoming...
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