Explain a document match result

GET /{index}/_explain/{id}

Get information about why a specific document matches, or doesn't match, a query. It computes a score explanation for a query and a specific document.

Path parameters

  • index string Required

    Index names that are used to limit the request. Only a single index name can be provided to this parameter.

  • id string Required

    The document identifier.

Query parameters

  • analyzer string

    The analyzer to use for the query string. This parameter can be used only when the q query string parameter is specified.

  • If true, wildcard and prefix queries are analyzed. This parameter can be used only when the q query string parameter is specified.

  • The default operator for query string query: AND or OR. This parameter can be used only when the q query string parameter is specified.

    Values are and, AND, or, or OR.

  • df string

    The field to use as default where no field prefix is given in the query string. This parameter can be used only when the q query string parameter is specified.

  • lenient boolean

    If true, format-based query failures (such as providing text to a numeric field) in the query string will be ignored. This parameter can be used only when the q query string parameter is specified.

  • The node or shard the operation should be performed on. It is random by default.

  • routing string

    A custom value used to route operations to a specific shard.

  • _source boolean | string | array[string]

    True or false to return the _source field or not or a list of fields to return.

  • _source_excludes string | array[string]

    A comma-separated list of source fields to exclude from the response. You can also use this parameter to exclude fields from the subset specified in _source_includes query parameter. If the _source parameter is false, this parameter is ignored.

  • _source_includes string | array[string]

    A comma-separated list of source fields to include in the response. If this parameter is specified, only these source fields are returned. You can exclude fields from this subset using the _source_excludes query parameter. If the _source parameter is false, this parameter is ignored.

  • stored_fields string | array[string]

    A comma-separated list of stored fields to return in the response.

  • q string

    The query in the Lucene query string syntax.

application/json

Body

  • query object

    An Elasticsearch Query DSL (Domain Specific Language) object that defines a query.

    Additional properties are allowed.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
GET /{index}/_explain/{id}
curl \
 --request GET http://api.example.com/{index}/_explain/{id} \
 --header "Content-Type: application/json" \
 --data '"{\n  \"query\" : {\n    \"match\" : { \"message\" : \"elasticsearch\" }\n  }\n}"'
Request example
Run `GET /my-index-000001/_explain/0` with the request body. Alternatively, run `GET /my-index-000001/_explain/0?q=message:elasticsearch`
{
  "query" : {
    "match" : { "message" : "elasticsearch" }
  }
}
Response examples (200)
A successful response from `GET /my-index-000001/_explain/0`.
{
  "_index":"my-index-000001",
  "_id":"0",
  "matched":true,
  "explanation":{
      "value":1.6943598,
      "description":"weight(message:elasticsearch in 0) [PerFieldSimilarity], result of:",
      "details":[
        {
            "value":1.6943598,
            "description":"score(freq=1.0), computed as boost * idf * tf from:",
            "details":[
              {
                  "value":2.2,
                  "description":"boost",
                  "details":[]
              },
              {
                  "value":1.3862944,
                  "description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
                  "details":[
                    {
                        "value":1,
                        "description":"n, number of documents containing term",
                        "details":[]
                    },
                    {
                        "value":5,
                        "description":"N, total number of documents with field",
                        "details":[]
                    }
                  ]
              },
              {
                  "value":0.5555556,
                  "description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
                  "details":[
                    {
                        "value":1.0,
                        "description":"freq, occurrences of term within document",
                        "details":[]
                    },
                    {
                        "value":1.2,
                        "description":"k1, term saturation parameter",
                        "details":[]
                    },
                    {
                        "value":0.75,
                        "description":"b, length normalization parameter",
                        "details":[]
                    },
                    {
                        "value":3.0,
                        "description":"dl, length of field",
                        "details":[]
                    },
                    {
                        "value":5.4,
                        "description":"avgdl, average length of field",
                        "details":[]
                    }
                  ]
              }
            ]
        }
      ]
  }
}