Mapping

• Defines how document and its fields are stored and indexed

• Mapping can be derived dynamically by ElasticSearch

• Handful core data types are supported

• Mapping can be added to existing index for new fields

• Existing field mapping not always possible to modify

• ElasticSearch will derive mapping for new type and for new fields:

  curl -XPOST localhost:9200/orders/orders/1 \
  -H 'Content-Type: application/json' \
  -d '{"id": "1", "placedOn": "2016-10-17T13:03:30.830Z"}'

• Retrieving existing mappings:

  curl 'localhost:9200/orders/orders/_mapping?pretty=true'

• Expected response:

  ```

  {

  "orders" : {

  "mappings" : {

  "orders" : {
    "properties" : {
      "id" : {
        "type" : "text",
        "fields" : {
          "keyword" : {
            "type" : "keyword",
            "ignore_above" : 256
          }
        }
      },
      "placedOn" : {
        "type" : "date"
      }
    }
  }

  }

  }

  }

```

• Rich support for date-time formats