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/ordering/order/1 -d '
  {"id": "1", "placedOn": "2016-10-17T13:03:30.830Z"}'
  

• Retrieving existing mappings:

  curl 'localhost:9200/ordering/order/_mapping?pretty=true'
  

• Expected response:

  {
  "ordering" : {
    "mappings" : {
      "order" : {
        "properties" : {
          "id" : {
            "type" : "text",
            "fields" : {
              "keyword" : {
                "type" : "keyword",
                "ignore_above" : 256
              }
            }
          },
          "placedOn" : {
            "type" : "date"
          }
        }
      }
    }
  }
  }
  

• Rich support for date-time formats