Kibana commands to setup an Elastic index that handles autocompletion 👍

setup-elastic-name-autocomplete

PUT customer
{
  "settings": {
    "index": {
      "number_of_shards": 1,
      "number_of_replicas": 1
    },
    "analysis": {
      "filter": {
        "min_length_filter": {
          "type": "length",
          "min": 2
        },
        "edge_ngram_filter": {
          "type": "edge_ngram",
          "min_gram": 2,
          "max_gram": 20
        }
      },
      "analyzer": {
        "edge_ngram_analyzer": {
          "type": "custom",
          "tokenizer": "standard",
          "filter": [
            "lowercase",
            "edge_ngram_filter"
          ]
        },
        "min_length_analyzer": {
          "type": "custom",
          "tokenizer": "standard",
          "filter": [
            "lowercase",
            "min_length_filter"
          ]
        }
      }
    }
  },
  "mappings": {
    "default": {
      "properties": {
        "fullname": {
          "type": "text",
          "analyzer": "edge_ngram_analyzer",
          "search_analyzer": "min_length_analyzer"
        },
        "firstname": {
          "type": "text",
          "copy_to": "fullname"
        },
        "lastname": {
          "type": "text",
          "copy_to": "fullname"
        }
      }
    }
  }
}

PUT customer/default/jeandupont
{
  "id": "1234567890",
  "firstname": "Jean",
  "lastname": "Dupont",
  "age": 34
}

POST _search
{
  "query": {
    "term": {
      "fullname": "jean"
    }
  }
}

POST _search
{
  "_source": ["firstname", "lastname"], 
  "query": {
    "match": {
      "fullname": {
        "query": "dup j",
        "operator": "and"
      }
    }
  }
}