Elasticsearch - Index Mapping settings for both exact and partial matching

Question

I'm new to elasticsearch and am trying to learn how to index using optimal mapping settings to achieve the following.

If I have a document like this

{"name":"Galapagos Islands"}

I want to get this a result for both the following queries

1) Partial matching

{
    "query": {
        "match": {
            "name": "ga"
        }
    }
}

2) Exact matching

{
    "query": {
        "term": {
            "name": "Galapagos Islands"
        }
    }
}

With the setting I have currently. I am able to achieve the partial matching part. But exact matching returns no results. Please find below the settings with which I indexed.

{
  "mappings": {
        "islands": {
            "properties": {
                "name":{
                    "type": "string",
                    "index_analyzer": "autocomplete",
                    "search_analyzer": "search_ngram"
                }
            }
        }
    },

  "settings":{
    "analysis":{
      "analyzer":{
        "autocomplete":{
          "type":"custom",
          "tokenizer":"standard",
          "filter":[ "standard", "lowercase", "stop", "kstem", "ngram" ] 
        },
        "search_ngram": {
          "type": "custom",
          "tokenizer": "keyword",
          "filter": "lowercase"
        }
      },
      "filter":{
        "ngram":{
          "type":"ngram",
          "min_gram":2,
          "max_gram":15
        }
      }
    }
  }
}

What is the correct way to do exact matching and partial matching on a field ?

UPDATE

After recreating the index with settings given below. My mappings look like this

curl -XGET 'localhost:9200/testing/_mappings?pretty'
{
  "testing" : {
    "mappings" : {
      "islands" : {
        "properties" : {
          "name" : {
            "type" : "string",
            "index_analyzer" : "autocomplete",
            "search_analyzer" : "search_ngram",
            "fields" : {
              "raw" : {
                "type" : "string",
                "analyzer" : "my_keyword_lowercase_analyzer"
              }
            }
          }
        }
      }
    }
  }
}

My indexing settings are the below

{
  "mappings": {
        "islands": {
            "properties": {
                "name":{
                    "type": "string",
                    "index_analyzer": "autocomplete",
                    "search_analyzer": "search_ngram",
                    "fields": {
                      "raw": {
                          "type": "string",
                          "analyzer": "my_keyword_lowercase_analyzer"
                      }
                    }
                }
            }
        }
    },

  "settings":{
    "analysis":{
      "analyzer":{
        "autocomplete":{
          "type":"custom",
          "tokenizer":"standard",
          "filter":[ "standard", "lowercase", "stop", "kstem", "ngram" ] 
        },
        "search_ngram": {
          "type": "custom",
          "tokenizer": "keyword",
          "filter": "lowercase"
        },
        "my_keyword_lowercase_analyzer": {
          "type": "custom",
          "filter": ["lowercase"],
          "tokenizer": "keyword"
        }
      },
      "filter":{
        "ngram":{
          "type":"ngram",
          "min_gram":2,
          "max_gram":15
        }
      }
    }
  }
}

And with all the above, when I query like this

curl -XGET 'localhost:9200/testing/islands/_search?pretty' -d '{"query": {"term": {"name.raw" : "Galapagos Islands"}}}'
{
  "took" : 1,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "failed" : 0
  },
  "hits" : {
    "total" : 0,
    "max_score" : null,
    "hits" : [ ]
  }
}

And My document is this

curl -XGET 'localhost:9200/testing/islands/1?pretty'
{
  "_index" : "testing",
  "_type" : "islands",
  "_id" : "1",
  "_version" : 1,
  "found" : true,
  "_source":{"name":"Galapagos Islands"}
}

Answer 1

Add a subfield to your name property which should be not_analyzed. Or, if you care about lowercase/uppercase, a keyword tokenizer together with a lowercase filter.

This should index Galapagos as is, not modifications. Then you can do your term search.

For example, a keyword analyzer together with lowercase filter:

    "my_keyword_lowercase_analyzer": {
      "type": "custom",
      "filter": [
        "lowercase"
      ],
      "tokenizer": "keyword"
    }

And the mapping:

        "properties": {
            "name":{
                "type": "string",
                "index_analyzer": "autocomplete",
                "search_analyzer": "search_ngram",
                "fields": {
                    "raw": {
                        "type": "string",
                        "analyzer": "my_keyword_lowercase_analyzer"
                    }
                }
            }
        }

The query to be used is:

{
    "query": {
        "term": {
            "name.raw": "galapagos islands"
        }
    }
}

So, instead of using the same field - name - you should be using name.raw (the subfield).