term_vector

Term vectors contain information about the terms produced by the analysis process, including:

• a list of terms.
• the position (or order) of each term.
• the start and end character offsets mapping the term to its origin in the original string.
• payloads (if they are available) — user-defined binary data associated with each term position.

These term vectors can be stored so that they can be retrieved for a particular document.

The term_vector setting accepts:

The fast vector highlighter requires with_positions_offsets. The term vectors API can retrieve whatever is stored.

Setting with_positions_offsets will double the size of a field’s index.

PUT my-index-000001
{
  "mappings": {
    "properties": {
      "text": {
        "type":        "text",
        "term_vector": "with_positions_offsets"
      }
    }
  }
}
PUT my-index-000001/_doc/1
{
  "text": "Quick brown fox"
}
GET my-index-000001/_search
{
  "query": {
    "match": {
      "text": "brown fox"
    }
  },
  "highlight": {
    "fields": {
      "text": {} 
    }
  }
}