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Define Elasticsearch Index Templates and Dynamic Mappings

One of the most user-friendly features of Elasticsearch is dynamic mapping. Dynamic mapping is Elasticsearch's mechanism for detecting fields and mapping them to an appropriate data type. Using index templates, we can lay out the structure of a series of indexes to adhere to specific requirements or override and control dynamic mapping behavior. With dynamic mapping, we can skip the process of explicitly defining every possible field and its data type and instead tell Elasticsearch how to detect the desired data types for us as they are discovered during indexing. As a result, dynamic mapping allows us to get up and running with our data very quickly. In this hands-on lab, you will complete the following tasks: * Create an index template * Define explicit field mappings * Define dynamic field mappings

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Path Info

Level
Clock icon Advanced
Duration
Clock icon 1h 30m
Published
Clock icon Jan 10, 2020

Contact sales

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Table of Contents

  1. Challenge

    Create the customers index template.

    Use the Kibana console tool to execute the following:

    PUT _template/customers
{
  "aliases": {
    "customers": {}
  },
  "index_patterns": ["customers-*"],
  "mappings": {
    "dynamic_templates": [
      {
        "long_to_integer": {
          "match_mapping_type": "long",
          "mapping": {
            "type": "integer"
          }
        }
      }
    ],
    "properties": {
      "year_to_date": {
        "type": "double"
      }
    }
  },
  "settings": {
    "number_of_shards": 4,
    "number_of_replicas": 3
  }
}

  2. Challenge

    Create the partners index template.

    Use the Kibana console tool to execute the following:

    PUT _template/partners
{
  "aliases": {
    "partners": {}
  },
  "index_patterns": ["partners-*"],
  "mappings": {
    "dynamic_templates": [
      {
        "string_to_keyword": {
          "match_mapping_type": "string",
          "mapping": {
            "type": "keyword"
          }
        }
      }
    ],
    "properties": {
      "address": {
        "type": "text"
      }
    }
  },
  "settings": {
    "number_of_shards": 4,
    "number_of_replicas": 3
  }
}

  3. Challenge

    Create the leads index template.

    Use the Kibana console tool to execute the following:

    PUT _template/leads
{
  "aliases": {
    "leads": {}
  },
  "index_patterns": ["leads-*"],
  "mappings": {
    "dynamic_templates": [
      {
        "string_to_keyword": {
          "match_mapping_type": "string",
          "match": "lead_*",
          "unmatch": "*_text",
          "mapping": {
            "type": "keyword"
          }
        }
      }
    ],
    "properties": {
      "address": {
        "type": "text"
      },
      "estimate": {
        "type": "double"
      }
    }
  },
  "settings": {
    "number_of_shards": 4,
    "number_of_replicas": 3
  }
}
A Cloud Guru - Labs - Define Elasticsearch Index Templates and Dynamic Mappings
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A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

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