Exists query

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Returns documents that contain an indexed value for a field.

An indexed value may not exist for a document’s field due to a variety of reasons:

  • The field in the source JSON is null or []
  • The field has "index" : false and "doc_values" : false set in the mapping
  • The length of the field value exceeded an ignore_above setting in the mapping
  • The field value was malformed and ignore_malformed was defined in the mapping

Example request

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resp = client.search(
    body={"query": {"exists": {"field": "user"}}},
)
print(resp)
response = client.search(
  body: {
    query: {
      exists: {
        field: 'user'
      }
    }
  }
)
puts response
res, err := es.Search(
	es.Search.WithBody(strings.NewReader(`{
	  "query": {
	    "exists": {
	      "field": "user"
	    }
	  }
	}`)),
	es.Search.WithPretty(),
)
fmt.Println(res, err)
GET /_search
{
  "query": {
    "exists": {
      "field": "user"
    }
  }
}

Top-level parameters for exists

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field

(Required, string) Name of the field you wish to search.

While a field is deemed non-existent if the JSON value is null or [], these values will indicate the field does exist:

  • Empty strings, such as "" or "-"
  • Arrays containing null and another value, such as [null, "foo"]
  • A custom null-value, defined in field mapping

Notes

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Find documents missing indexed values

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To find documents that are missing an indexed value for a field, use the must_not boolean query with the exists query.

The following search returns documents that are missing an indexed value for the user.id field.

resp = client.search(
    body={
        "query": {"bool": {"must_not": {"exists": {"field": "user.id"}}}}
    },
)
print(resp)
response = client.search(
  body: {
    query: {
      bool: {
        must_not: {
          exists: {
            field: 'user.id'
          }
        }
      }
    }
  }
)
puts response
GET /_search
{
  "query": {
    "bool": {
      "must_not": {
        "exists": {
          "field": "user.id"
        }
      }
    }
  }
}