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You're reading from  Learning ELK Stack

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Published inNov 2015
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ISBN-139781785887154
Edition1st Edition
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Author (1)
Saurabh Chhajed
Saurabh Chhajed
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Saurabh Chhajed

Saurabh Chhajed is a technologist with vast professional experience in building Enterprise applications that span across product and service industries. He has experience building some of the largest recommender engines using big data analytics and machine learning, and also enjoys acting as an evangelist for big data and NoSQL technologies. With his rich technical experience, Saurabh has helped some of the largest financial and industrial companies in USA build their large product suites and distributed applications from scratch. He shares his personal experiences with technology at http://saurzcode.in. Saurabh has also reviewed books by Packt Publishing, Apache Camel Essentials and Java EE 7 Development with NetBeans 8, in the past.
Read more about Saurabh Chhajed

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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 documents. The default is "index" and possible...

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Learning ELK Stack
Published in: Nov 2015Publisher: ISBN-13: 9781785887154

Author (1)

author image
Saurabh Chhajed

Saurabh Chhajed is a technologist with vast professional experience in building Enterprise applications that span across product and service industries. He has experience building some of the largest recommender engines using big data analytics and machine learning, and also enjoys acting as an evangelist for big data and NoSQL technologies. With his rich technical experience, Saurabh has helped some of the largest financial and industrial companies in USA build their large product suites and distributed applications from scratch. He shares his personal experiences with technology at http://saurzcode.in. Saurabh has also reviewed books by Packt Publishing, Apache Camel Essentials and Java EE 7 Development with NetBeans 8, in the past.
Read more about Saurabh Chhajed