Get term vector information

POST /{index}/_termvectors/{id}

Get information and statistics about terms in the fields of a particular document.

Path parameters

  • index string Required

    Name of the index that contains the document.

  • id string Required

    Unique identifier of the document.

Query parameters

  • fields string | array[string]

    Comma-separated list or wildcard expressions of fields to include in the statistics. Used as the default list unless a specific field list is provided in the completion_fields or fielddata_fields parameters.

  • If true, the response includes the document count, sum of document frequencies, and sum of total term frequencies.

  • offsets boolean

    If true, the response includes term offsets.

  • payloads boolean

    If true, the response includes term payloads.

  • positions boolean

    If true, the response includes term positions.

  • Specifies the node or shard the operation should be performed on. Random by default.

  • realtime boolean

    If true, the request is real-time as opposed to near-real-time.

  • routing string

    Custom value used to route operations to a specific shard.

  • If true, the response includes term frequency and document frequency.

  • version number

    If true, returns the document version as part of a hit.

  • Specific version type.

    Values are internal, external, external_gte, or force.

application/json

Body

  • doc object

    An artificial document (a document not present in the index) for which you want to retrieve term vectors.

    Additional properties are allowed.

  • filter object

    Additional properties are allowed.

    Hide filter attributes Show filter attributes object
    • Ignore words which occur in more than this many docs. Defaults to unbounded.

    • Maximum number of terms that must be returned per field.

    • Ignore words with more than this frequency in the source doc. Defaults to unbounded.

    • The maximum word length above which words will be ignored. Defaults to unbounded.

    • Ignore terms which do not occur in at least this many docs.

    • Ignore words with less than this frequency in the source doc.

    • The minimum word length below which words will be ignored.

  • Overrides the default per-field analyzer.

    Hide per_field_analyzer attribute Show per_field_analyzer attribute object
    • * string Additional properties

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • found boolean Required
    • _id string
    • _index string Required
    • Hide term_vectors attribute Show term_vectors attribute object
      • * object Additional properties

        Additional properties are allowed.

        Hide * attributes Show * attributes object
    • took number Required
    • _version number Required
POST /{index}/_termvectors/{id}
curl \
 -X POST http://api.example.com/{index}/_termvectors/{id} \
 -H "Content-Type: application/json" \
 -d '{"doc":{},"filter":{"max_doc_freq":42.0,"max_num_terms":42.0,"max_term_freq":42.0,"max_word_length":42.0,"min_doc_freq":42.0,"min_term_freq":42.0,"min_word_length":42.0},"per_field_analyzer":{"additionalProperty1":"string","additionalProperty2":"string"}}'