[[search-explain]] == Explain API The explain api computes a score explanation for a query and a specific document. This can give useful feedback whether a document matches or didn't match a specific query. The `index` and `type` parameters expect a single index and a single type respectively. [float] === Usage Full query example: [source,js] -------------------------------------------------- GET /twitter/tweet/0/_explain { "query" : { "match" : { "message" : "elasticsearch" } } } -------------------------------------------------- // CONSOLE // TEST[setup:twitter] This will yield the following result: [source,js] -------------------------------------------------- { "_index" : "twitter", "_type" : "tweet", "_id" : "0", "matched" : true, "explanation" : { "value" : 1.55077, "description" : "sum of:", "details" : [ { "value" : 1.55077, "description" : "weight(message:elasticsearch in 0) [PerFieldSimilarity], result of:", "details" : [ { "value" : 1.55077, "description" : "score(doc=0,freq=1.0 = termFreq=1.0\n), product of:", "details" : [ { "value" : 1.3862944, "description" : "idf(docFreq=1, docCount=5)", "details" : [ ] }, { "value" : 1.1186441, "description" : "tfNorm, computed from:", "details" : [ { "value" : 1.0, "description" : "termFreq=1.0", "details" : [ ] }, { "value" : 1.2, "description" : "parameter k1", "details" : [ ] }, { "value" : 0.75, "description" : "parameter b", "details" : [ ] }, { "value" : 5.4, "description" : "avgFieldLength", "details" : [ ] }, { "value" : 4.0, "description" : "fieldLength", "details" : [ ] } ] } ] } ] }, { "value" : 0.0, "description" : "match on required clause, product of:", "details" : [ { "value" : 0.0, "description" : "# clause", "details" : [ ] }, { "value" : 1.0, "description" : "*:*, product of:", "details" : [ { "value" : 1.0, "description" : "boost", "details" : [ ] }, { "value" : 1.0, "description" : "queryNorm", "details" : [ ] } ] } ] } ] } } -------------------------------------------------- // TESTRESPONSE There is also a simpler way of specifying the query via the `q` parameter. The specified `q` parameter value is then parsed as if the `query_string` query was used. Example usage of the `q` parameter in the explain api: [source,js] -------------------------------------------------- GET /twitter/tweet/0/_explain?q=message:search -------------------------------------------------- // CONSOLE // TEST[setup:twitter] This will yield the same result as the previous request. [float] === All parameters: [horizontal] `_source`:: Set to `true` to retrieve the `_source` of the document explained. You can also retrieve part of the document by using `_source_include` & `_source_exclude` (see <> for more details) `stored_fields`:: Allows to control which stored fields to return as part of the document explained. `routing`:: Controls the routing in the case the routing was used during indexing. `parent`:: Same effect as setting the routing parameter. `preference`:: Controls on which shard the explain is executed. `source`:: Allows the data of the request to be put in the query string of the url. `q`:: The query string (maps to the query_string query). `df`:: The default field to use when no field prefix is defined within the query. Defaults to _all field. `analyzer`:: The analyzer name to be used when analyzing the query string. Defaults to the analyzer of the _all field. `analyze_wildcard`:: Should wildcard and prefix queries be analyzed or not. Defaults to false. `lenient`:: If set to true will cause format based failures (like providing text to a numeric field) to be ignored. Defaults to false. `default_operator`:: The default operator to be used, can be AND or OR. Defaults to OR.