OpenSearch/docs/reference/search/explain.asciidoc

150 lines
4.2 KiB
Plaintext

[[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 <<get-source-filtering,Get API>> 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.
`lowercase_expanded_terms`::
Should terms be automatically lowercased
or not. Defaults to true.
`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.