OpenSearch/docs/reference/aggregations/bucket/iprange-aggregation.asciidoc

[[search-aggregations-bucket-iprange-aggregation]]
=== IP Range Aggregation

Just like the dedicated <<search-aggregations-bucket-daterange-aggregation,date>> range aggregation, there is also a dedicated range aggregation for IP typed fields:

Example:

[source,js]
--------------------------------------------------
{
    "aggs" : {
        "ip_ranges" : {
            "ip_range" : {
                "field" : "ip",
                "ranges" : [
                    { "to" : "10.0.0.5" },
                    { "from" : "10.0.0.5" }
                ]
            }
        }
    }
}
--------------------------------------------------

Response:

[source,js]
--------------------------------------------------
{
    ...

    "aggregations": {
        "ip_ranges": {
            "buckets" : [
                {
                    "to": "10.0.0.5",
                    "doc_count": 4
                },
                {
                    "from": "10.0.0.5",
                    "doc_count": 6
                }
            ]
        }
    }
}
--------------------------------------------------

IP ranges can also be defined as CIDR masks:

[source,js]
--------------------------------------------------
{
    "aggs" : {
        "ip_ranges" : {
            "ip_range" : {
                "field" : "ip",
                "ranges" : [
                    { "mask" : "10.0.0.0/25" },
                    { "mask" : "10.0.0.127/25" }
                ]
            }
        }
    }
}
--------------------------------------------------

Response:

[source,js]
--------------------------------------------------
{
    "aggregations": {
        "ip_ranges": {
            "buckets": [
                {
                    "key": "10.0.0.0/25",
                    "from": "10.0.0.0",
                    "to": "10.0.0.127",
                    "doc_count": 127
                },
                {
                    "key": "10.0.0.127/25",
                    "from": "10.0.0.0",
                    "to": "10.0.0.127",
                    "doc_count": 127
                }
            ]
        }
    }
}
--------------------------------------------------

==== Keyed Response

Setting the `keyed` flag to `true` will associate a unique string key with each bucket and return the ranges as a hash rather than an array:

[source,js]
--------------------------------------------------
{
    "aggs": {
        "ip_ranges": {
            "ip_range": {
                "field": "remote_ip",
                "ranges": [
                    { "to" : "10.0.0.5" },
                    { "from" : "10.0.0.5" }
                ],
                "keyed": true
            }
        }
    }
}
--------------------------------------------------

Response:

[source,js]
--------------------------------------------------
{
    ...

    "aggregations": {
        "ip_ranges": {
            "buckets": {
                "*-10.0.0.5": {
                    "to": "10.0.0.5",
                    "doc_count": 1462
                },
                "10.0.0.5-*": {
                    "from": "10.0.0.5",
                    "doc_count": 50000
                }
            }
        }
    }
}
--------------------------------------------------

It is also possible to customize the key for each range:

[source,js]
--------------------------------------------------
{
    "aggs": {
        "ip_ranges": {
            "ip_range": {
                "field": "remote_ip",
                "ranges": [
                    { "key": "infinity", "to" : "10.0.0.5" },
                    { "key": "and-beyond", "from" : "10.0.0.5" }
                ],
                "keyed": true
            }
        }
    }
}
--------------------------------------------------

Response:

[source,js]
--------------------------------------------------
{
    ...

    "aggregations": {
        "ip_ranges": {
            "buckets": {
                "infinity": {
                    "to": "10.0.0.5",
                    "doc_count": 1462
                },
                "and-beyond": {
                    "from": "10.0.0.5",
                    "doc_count": 50000
                }
            }
        }
    }
}
--------------------------------------------------