Path parameters
-
Index names that are used to limit the request. Only a single index name can be provided to this parameter.
-
The document identifier.
Query parameters
-
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 theq
query string parameter is specified. -
The default operator for query string query:
AND
orOR
. This parameter can be used only when theq
query string parameter is specified.Values are
and
,AND
,or
, orOR
. -
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. -
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 theq
query string parameter is specified. -
The node or shard the operation should be performed on. It is random by default.
-
A custom value used to route operations to a specific shard.
-
True
orfalse
to return the_source
field or not or a list of fields to return. -
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 isfalse
, this parameter is ignored. -
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 isfalse
, this parameter is ignored. -
A comma-separated list of stored fields to return in the response.
-
The query in the Lucene query string syntax.
Body
-
An Elasticsearch Query DSL (Domain Specific Language) object that defines a query.
External documentation
GET /my-index-000001/_explain/0 { "query" : { "match" : { "message" : "elasticsearch" } } }
resp = client.explain( index="my-index-000001", id="0", query={ "match": { "message": "elasticsearch" } }, )
const response = await client.explain({ index: "my-index-000001", id: 0, query: { match: { message: "elasticsearch", }, }, });
response = client.explain( index: "my-index-000001", id: "0", body: { "query": { "match": { "message": "elasticsearch" } } } )
$resp = $client->explain([ "index" => "my-index-000001", "id" => "0", "body" => [ "query" => [ "match" => [ "message" => "elasticsearch", ], ], ], ]);
curl -X GET -H "Authorization: ApiKey $ELASTIC_API_KEY" -H "Content-Type: application/json" -d '{"query":{"match":{"message":"elasticsearch"}}}' "$ELASTICSEARCH_URL/my-index-000001/_explain/0"
{ "query" : { "match" : { "message" : "elasticsearch" } } }
{ "_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":[] } ] } ] } ] } }