Token count field type
- Token count field type
  - Parameters for token_count fields
    - Synthetic _source

Token count field type

A field of type token_count is really an integer field which accepts string values, analyzes them, then indexes the number of tokens in the string.

For instance:

resp = client.indices.create(
    index="my-index-000001",
    mappings={
        "properties": {
            "name": {
                "type": "text",
                "fields": {
                    "length": {
                        "type": "token_count",
                        "analyzer": "standard"
                    }
                }
            }
        }
    },
)
print(resp)
resp1 = client.index(
    index="my-index-000001",
    id="1",
    document={
        "name": "John Smith"
    },
)
print(resp1)
resp2 = client.index(
    index="my-index-000001",
    id="2",
    document={
        "name": "Rachel Alice Williams"
    },
)
print(resp2)
resp3 = client.search(
    index="my-index-000001",
    query={
        "term": {
            "name.length": 3
        }
    },
)
print(resp3)

response = client.indices.create(
  index: 'my-index-000001',
  body: {
    mappings: {
      properties: {
        name: {
          type: 'text',
          fields: {
            length: {
              type: 'token_count',
              analyzer: 'standard'
            }
          }
        }
      }
    }
  }
)
puts response
response = client.index(
  index: 'my-index-000001',
  id: 1,
  body: {
    name: 'John Smith'
  }
)
puts response
response = client.index(
  index: 'my-index-000001',
  id: 2,
  body: {
    name: 'Rachel Alice Williams'
  }
)
puts response
response = client.search(
  index: 'my-index-000001',
  body: {
    query: {
      term: {
        'name.length' => 3
      }
    }
  }
)
puts response

const response = await client.indices.create({
  index: "my-index-000001",
  mappings: {
    properties: {
      name: {
        type: "text",
        fields: {
          length: {
            type: "token_count",
            analyzer: "standard",
          },
        },
      },
    },
  },
});
console.log(response);
const response1 = await client.index({
  index: "my-index-000001",
  id: 1,
  document: {
    name: "John Smith",
  },
});
console.log(response1);
const response2 = await client.index({
  index: "my-index-000001",
  id: 2,
  document: {
    name: "Rachel Alice Williams",
  },
});
console.log(response2);
const response3 = await client.search({
  index: "my-index-000001",
  query: {
    term: {
      "name.length": 3,
    },
  },
});
console.log(response3);

PUT my-index-000001
{
  "mappings": {
    "properties": {
      "name": { 
        "type": "text",
        "fields": {
          "length": { 
            "type":     "token_count",
            "analyzer": "standard"
          }
        }
      }
    }
  }
}
PUT my-index-000001/_doc/1
{ "name": "John Smith" }
PUT my-index-000001/_doc/2
{ "name": "Rachel Alice Williams" }
GET my-index-000001/_search
{
  "query": {
    "term": {
      "name.length": 3 
    }
  }
}

	The `name` field is a text field which uses the default `standard` analyzer.
	The `name.length` field is a `token_count` multi-field which will index the number of tokens in the `name` field.
	This query matches only the document containing `Rachel Alice Williams`, as it contains three tokens.

Parameters for `token_count` fields

The following parameters are accepted by token_count fields:

analyzer	The analyzer which should be used to analyze the string value. Required. For best performance, use an analyzer without token filters.
`enable_position_increments`	Indicates if position increments should be counted. Set to `false` if you don’t want to count tokens removed by analyzer filters (like stop). Defaults to `true`.
doc_values	Should the field be stored on disk in a column-stride fashion, so that it can later be used for sorting, aggregations, or scripting? Accepts `true` (default) or `false`.
index	Should the field be searchable? Accepts `true` (default) and `false`.
null_value	Accepts a numeric value of the same `type` as the field which is substituted for any explicit `null` values. Defaults to `null`, which means the field is treated as missing.
store	Whether the field value should be stored and retrievable separately from the _source field. Accepts `true` or `false` (default).

Synthetic `_source`

Synthetic _source is Generally Available only for TSDB indices (indices that have index.mode set to time_series). For other indices synthetic _source is in technical preview. Features in technical preview may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.

token_count fields support synthetic _source in their default configuration.

Token count

Token count field type