[role="xpack"]
[testenv="basic"]
[[search-aggregations-metrics-top-metrics]]
=== Top Metrics Aggregation

The `top_metrics` aggregation selects metrics from the document with the largest or smallest "sort"
value. For example, this gets the value of the `m` field on the document with the largest value of `s`:

[source,console,id=search-aggregations-metrics-top-metrics-simple]
----
POST /test/_bulk?refresh
{"index": {}}
{"s": 1, "m": 3.1415}
{"index": {}}
{"s": 2, "m": 1.0}
{"index": {}}
{"s": 3, "m": 2.71828}
POST /test/_search?filter_path=aggregations
{
  "aggs": {
    "tm": {
      "top_metrics": {
        "metrics": {"field": "m"},
        "sort": {"s": "desc"}
      }
    }
  }
}
----

Which returns:

[source,js]
----
{
  "aggregations": {
    "tm": {
      "top": [ {"sort": [3], "metrics": {"m": 2.718280076980591 } } ]
    }
  }
}
----
// TESTRESPONSE

`top_metrics` is fairly similar to <<search-aggregations-metrics-top-hits-aggregation, `top_hits`>>
in spirit but because it is more limited it is able to do its job using less memory and is often
faster.

==== `sort`

The `sort` field in the metric request functions exactly the same as the `sort` field in the
<<sort-search-results, search>> request except:
* It can't be used on <<binary,binary>>, <<flattened,flattened>>, <<ip,ip>>,
<<keyword,keyword>>, or <<text,text>> fields.
* It only supports a single sort value so which document wins ties is not specified.

The metrics that the aggregation returns is the first hit that would be returned by the search
request. So,

`"sort": {"s": "desc"}`:: gets metrics from the document with the highest `s`
`"sort": {"s": "asc"}`:: gets the metrics from the document with the lowest `s`
`"sort": {"_geo_distance": {"location": "35.7796, -78.6382"}}`::
  gets metrics from the documents with `location` *closest* to `35.7796, -78.6382`
`"sort": "_score"`:: gets metrics from the document with the highest score

==== `metrics`

`metrics` selects the fields of the "top" document to return. You can request
a single metric with something like `"metric": {"field": "m"}` or multiple
metrics by requesting a list of metrics like `"metric": [{"field": "m"}, {"field": "i"}`.
Here is a more complete example:

[source,console,id=search-aggregations-metrics-top-metrics-list-of-metrics]
----
PUT /test
{
  "mappings": {
    "properties": {
      "d": {"type": "date"}
    }
  }
}
POST /test/_bulk?refresh
{"index": {}}
{"s": 1, "m": 3.1415, "i": 1, "d": "2020-01-01T00:12:12Z"}
{"index": {}}
{"s": 2, "m": 1.0, "i": 6, "d": "2020-01-02T00:12:12Z"}
{"index": {}}
{"s": 3, "m": 2.71828, "i": -12, "d": "2019-12-31T00:12:12Z"}
POST /test/_search?filter_path=aggregations
{
  "aggs": {
    "tm": {
      "top_metrics": {
        "metrics": [
          {"field": "m"},
          {"field": "i"},
          {"field": "d"}
        ],
        "sort": {"s": "desc"}
      }
    }
  }
}
----

Which returns:

[source,js]
----
{
  "aggregations": {
    "tm": {
      "top": [ {
        "sort": [3],
        "metrics": {
          "m": 2.718280076980591,
          "i": -12,
          "d": "2019-12-31T00:12:12.000Z"
        }
      } ]
    }
  }
}
----
// TESTRESPONSE

==== `size`

`top_metrics` can return the top few document's worth of metrics using the size parameter:

[source,console,id=search-aggregations-metrics-top-metrics-size]
----
POST /test/_bulk?refresh
{"index": {}}
{"s": 1, "m": 3.1415}
{"index": {}}
{"s": 2, "m": 1.0}
{"index": {}}
{"s": 3, "m": 2.71828}
POST /test/_search?filter_path=aggregations
{
  "aggs": {
    "tm": {
      "top_metrics": {
        "metrics": {"field": "m"},
        "sort": {"s": "desc"},
        "size": 3
      }
    }
  }
}
----

Which returns:

[source,js]
----
{
  "aggregations": {
    "tm": {
      "top": [
        {"sort": [3], "metrics": {"m": 2.718280076980591 } },
        {"sort": [2], "metrics": {"m": 1.0 } },
        {"sort": [1], "metrics": {"m": 3.1414999961853027 } }
      ]
    }
  }
}
----
// TESTRESPONSE

The default `size` is 1. The maximum default size is `10` because the aggregation's
working storage is "dense", meaning we allocate `size` slots for every bucket. `10`
is a *very* conservative default maximum and you can raise it if you need to by
changing the `top_metrics_max_size` index setting. But know that large sizes can
take a fair bit of memory, especially if they are inside of an aggregation which
makes many buckes like a large
<<search-aggregations-metrics-top-metrics-example-terms, terms aggregation>>. If
you till want to raise it, use something like:

[source,console]
----
PUT /test/_settings
{
  "top_metrics_max_size": 100
}
----
// TEST[continued]

NOTE: If `size` is more than `1` the `top_metrics` aggregation can't be the *target* of a sort.

==== Examples

[[search-aggregations-metrics-top-metrics-example-terms]]
===== Use with terms

This aggregation should be quite useful inside of <<search-aggregations-bucket-terms-aggregation, `terms`>>
aggregation, to, say, find the last value reported by each server.

[source,console,id=search-aggregations-metrics-top-metrics-terms]
----
PUT /node
{
  "mappings": {
    "properties": {
      "ip": {"type": "ip"},
      "date": {"type": "date"}
    }
  }
}
POST /node/_bulk?refresh
{"index": {}}
{"ip": "192.168.0.1", "date": "2020-01-01T01:01:01", "m": 1}
{"index": {}}
{"ip": "192.168.0.1", "date": "2020-01-01T02:01:01", "m": 2}
{"index": {}}
{"ip": "192.168.0.2", "date": "2020-01-01T02:01:01", "m": 3}
POST /node/_search?filter_path=aggregations
{
  "aggs": {
    "ip": {
      "terms": {
        "field": "ip"
      },
      "aggs": {
        "tm": {
          "top_metrics": {
            "metrics": {"field": "m"},
            "sort": {"date": "desc"}
          }
        }
      }
    }
  }
}
----

Which returns:

[source,js]
----
{
  "aggregations": {
    "ip": {
      "buckets": [
        {
          "key": "192.168.0.1",
          "doc_count": 2,
          "tm": {
            "top": [ {"sort": ["2020-01-01T02:01:01.000Z"], "metrics": {"m": 2 } } ]
          }
        },
        {
          "key": "192.168.0.2",
          "doc_count": 1,
          "tm": {
            "top": [ {"sort": ["2020-01-01T02:01:01.000Z"], "metrics": {"m": 3 } } ]
          }
        }
      ],
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0
    }
  }
}
----
// TESTRESPONSE

Unlike `top_hits`, you can sort buckets by the results of this metric:

[source,console]
----
POST /node/_search?filter_path=aggregations
{
  "aggs": {
    "ip": {
      "terms": {
        "field": "ip",
        "order": {"tm.m": "desc"}
      },
      "aggs": {
        "tm": {
          "top_metrics": {
            "metrics": {"field": "m"},
            "sort": {"date": "desc"}
          }
        }
      }
    }
  }
}
----
// TEST[continued]

Which returns:

[source,js]
----
{
  "aggregations": {
    "ip": {
      "buckets": [
        {
          "key": "192.168.0.2",
          "doc_count": 1,
          "tm": {
            "top": [ {"sort": ["2020-01-01T02:01:01.000Z"], "metrics": {"m": 3 } } ]
          }
        },
        {
          "key": "192.168.0.1",
          "doc_count": 2,
          "tm": {
            "top": [ {"sort": ["2020-01-01T02:01:01.000Z"], "metrics": {"m": 2 } } ]
          }
        }
      ],
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0
    }
  }
}
----
// TESTRESPONSE

===== Mixed sort types

Sorting `top_metrics` by a field that has different types across different
indices producs somewhat suprising results: floating point fields are
always sorted independantly of whole numbered fields.

[source,console,id=search-aggregations-metrics-top-metrics-mixed-sort]
----
POST /test/_bulk?refresh
{"index": {"_index": "test1"}}
{"s": 1, "m": 3.1415}
{"index": {"_index": "test1"}}
{"s": 2, "m": 1}
{"index": {"_index": "test2"}}
{"s": 3.1, "m": 2.71828}
POST /test*/_search?filter_path=aggregations
{
  "aggs": {
    "tm": {
      "top_metrics": {
        "metrics": {"field": "m"},
        "sort": {"s": "asc"}
      }
    }
  }
}
----

Which returns:

[source,js]
----
{
  "aggregations": {
    "tm": {
      "top": [ {"sort": [3.0999999046325684], "metrics": {"m": 2.718280076980591 } } ]
    }
  }
}
----
// TESTRESPONSE

While this is better than an error it *probably* isn't what you were going for.
While it does lose some precision, you can explictly cast the whole number
fields to floating points with something like:

[source,console]
----
POST /test*/_search?filter_path=aggregations
{
  "aggs": {
    "tm": {
      "top_metrics": {
        "metrics": {"field": "m"},
        "sort": {"s": {"order": "asc", "numeric_type": "double"}}
      }
    }
  }
}
----
// TEST[continued]

Which returns the much more expected:

[source,js]
----
{
  "aggregations": {
    "tm": {
      "top": [ {"sort": [1.0], "metrics": {"m": 3.1414999961853027 } } ]
    }
  }
}
----
// TESTRESPONSE
