Get multiple term vectors

GET /{index}/_mtermvectors

You can specify existing documents by index and ID or provide artificial documents in the body of the request. You can specify the index in the request body or request URI. The response contains a docs array with all the fetched termvectors. Each element has the structure provided by the termvectors API.

Path parameters

  • index string Required

    Name of the index that contains the documents.

Query parameters

  • ids array[string]

    A comma-separated list of documents ids. You must define ids as parameter or set "ids" or "docs" in the request body

  • 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.

  • field_statistics boolean

    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.

  • preference string

    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.

  • term_statistics boolean

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

  • version number

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

  • version_type string

    Specific version type.

    Values are internal, external, external_gte, or force.

application/json

Body

  • docs array[object]

    Array of existing or artificial documents.

    Hide docs attributes Show docs attributes object
    • _id string
    • _index string
    • doc object

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

      Additional properties are allowed.

    • fields string | array[string]
    • field_statistics boolean

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

    • filter object

      Additional properties are allowed.

      Hide filter attributes Show filter attributes object
      • max_doc_freq number

        Ignore words which occur in more than this many docs. Defaults to unbounded.

      • max_num_terms number

        Maximum number of terms that must be returned per field.

      • max_term_freq number

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

      • max_word_length number

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

      • min_doc_freq number

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

      • min_term_freq number

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

      • min_word_length number

        The minimum word length below which words will be ignored.

    • 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.

    • routing string
    • term_statistics boolean

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

    • version number
    • version_type string

      Values are internal, external, external_gte, or force.

  • ids array[string]

    Simplified syntax to specify documents by their ID if they're in the same index.

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • docs array[object] Required
      Hide docs attributes Show docs attributes object
      • _id string
      • _index string Required
      • _version number
      • took number
      • found boolean
      • term_vectors object
        Hide term_vectors attribute Show term_vectors attribute object
        • * object Additional properties

          Additional properties are allowed.

          Hide * attributes Show * attributes object
          • field_statistics object

            Additional properties are allowed.

            Hide field_statistics attributes Show field_statistics attributes object
          • terms object Required
            Hide terms attribute Show terms attribute object
            • * object Additional properties

              Additional properties are allowed.

      • error object

        Additional properties are allowed.

        Hide error attributes Show error attributes object
        • type string Required

          The type of error

        • reason string

          A human-readable explanation of the error, in english

        • stack_trace string

          The server stack trace. Present only if the error_trace=true parameter was sent with the request.

        • caused_by object

          Additional properties are allowed.

        • root_cause array[object]

          Additional properties are allowed.

        • suppressed array[object]

          Additional properties are allowed.
GET /{index}/_mtermvectors 
curl \
 -X GET http://api.example.com/{index}/_mtermvectors \
 -H "Content-Type: application/json" \
 -d '{"docs":[{"_id":"string","_index":"string","doc":{},"fields":"string","field_statistics":true,"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},"offsets":true,"payloads":true,"positions":true,"routing":"string","term_statistics":true,"version":42.0,"version_type":"internal"}],"ids":["string"]}'