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You're reading from  ElasticSearch Cookbook

Product typeBook
Published inDec 2013
Reading LevelBeginner
PublisherPackt
ISBN-139781782166627
Edition1st Edition
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Author (1)
Alberto Paro
Alberto Paro
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Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
Read more about Alberto Paro

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Mapping an IP field


ElasticSearch is used in a lot of networking systems to collect and search logs, such as Kibana (http://kibana.org/) and LogStash (http://logstash.net/). To improve search in these scenarios, it provides the IPv4 type that can be used to store an IP address in an optimized way.

Getting ready

You need a working ElasticSearch cluster.

How to do it...

You need to define the type of the field that contains IP address as "ip".

Using the above order example we can extend it by adding the customer IP address with the following code snippet:

  "customer_ip": {
    "type": "ip",
    "store": "yes",
    "index": "yes"
  }

The IP must be in the standard point notation form, as follows:

"customer_ip":"19.18.200.201"

How it works...

When ElasticSearch is processing a document, if a field is an IP one, it tries to convert its value to a numerical form and generates tokens for fast-value searching.

The IP has the following special properties:

  • index (defaults to yes): This defines if the field...

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ElasticSearch Cookbook
Published in: Dec 2013Publisher: PacktISBN-13: 9781782166627

Author (1)

author image
Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
Read more about Alberto Paro