elasticsearch/docs/reference/aggregations/bucket/daterange-aggregation.asciidoc

[[search-aggregations-bucket-daterange-aggregation]]
=== Date Range Aggregation

A range aggregation that is dedicated for date values. The main difference
between this aggregation and the normal
<<search-aggregations-bucket-range-aggregation,range>>
aggregation is that the `from` and `to` values can be expressed in
<<date-math,Date Math>> expressions, and it is also possible to specify a date
format by which the `from` and `to` response fields will be returned.
Note that this aggregation includes the `from` value and excludes the `to` value
for each range.

Example:

[source,js]
--------------------------------------------------
POST /sales/_search?size=0
{
    "aggs": {
        "range": {
            "date_range": {
                "field": "date",
                "format": "MM-yyy",
                "ranges": [
                    { "to": "now-10M/M" }, <1>
                    { "from": "now-10M/M" } <2>
                ]
            }
        }
    }
}
--------------------------------------------------
// CONSOLE
// TEST[setup:sales s/now-10M\/M/10-2015/]

<1> < now minus 10 months, rounded down to the start of the month.
<2> >= now minus 10 months, rounded down to the start of the month.

In the example above, we created two range buckets, the first will "bucket" all
documents dated prior to 10 months ago and the second will "bucket" all
documents dated since 10 months ago

Response:

[source,js]
--------------------------------------------------
{
    ...
    "aggregations": {
        "range": {
            "buckets": [
                {
                    "to": 1.4436576E12,
                    "to_as_string": "10-2015",
                    "doc_count": 7,
                    "key": "*-10-2015"
                },
                {
                    "from": 1.4436576E12,
                    "from_as_string": "10-2015",
                    "doc_count": 0,
                    "key": "10-2015-*"
                }
            ]
        }
    }
}
--------------------------------------------------
// TESTRESPONSE[s/\.\.\./"took": $body.took,"timed_out": false,"_shards": $body._shards,"hits": $body.hits,/]

==== Missing Values

The `missing` parameter defines how documents that are missing a value should
be treated. By default they will be ignored but it is also possible to treat
them as if they had a value. This is done by adding a set of fieldname :
value mappings to specify default values per field.

[source,js]
--------------------------------------------------
POST /sales/_search?size=0
{
   "aggs": {
       "range": {
           "date_range": {
               "field": "date",
               "missing": "1976/11/30",
               "ranges": [
                  { 
                    "key": "Older",
                    "to": "2016/02/01" 
                  }, <1>
                  { 
                    "key": "Newer",
                    "from": "2016/02/01", 
                    "to" : "now/d" 
                  }
              ]
          }
      }
   }
}
--------------------------------------------------
// CONSOLE
// TEST[setup:sales]

<1> Documents without a value in the `date` field will be added to the "Older"
bucket, as if they had a date value of "1899-12-31". 

[[date-format-pattern]]
==== Date Format/Pattern

NOTE: this information was copied from
http://www.joda.org/joda-time/apidocs/org/joda/time/format/DateTimeFormat.html[JodaDate]

All ASCII letters are reserved as format pattern letters, which are defined
as follows:

[options="header"]
|=======
|Symbol |Meaning                |Presentation       |Examples
|G      |era                    |text               |AD
|C      |century of era (>=0)   |number             |20
|Y      |year of era (>=0)      |year               |1996

|x      |weekyear               |year               |1996
|w      |week of weekyear       |number             |27
|e      |day of week            |number             |2
|E      |day of week            |text               |Tuesday; Tue

|y      |year                   |year               |1996
|D      |day of year            |number             |189
|M      |month of year          |month              |July; Jul; 07
|d      |day of month           |number             |10

|a      |halfday of day               |text         |PM
|K      |hour of halfday (0~11)       |number       |0
|h      |clockhour of halfday (1~12)  |number       |12

|H      |hour of day (0~23)           |number       |0
|k      |clockhour of day (1~24)      |number       |24
|m      |minute of hour               |number       |30
|s      |second of minute             |number       |55
|S      |fraction of second           |number       |978

|z      |time zone                    |text         |Pacific Standard Time; PST
|Z      |time zone offset/id          |zone         |-0800; -08:00; America/Los_Angeles

|'      |escape for text              |delimiter
|''     |single quote                 |literal      |'
|=======

The count of pattern letters determine the format.

Text:: If the number of pattern letters is 4 or more, the full form is used;
otherwise a short or abbreviated form is used if available.

Number:: The minimum number of digits. Shorter numbers are zero-padded to
this amount.

Year:: Numeric presentation for year and weekyear fields are handled
specially. For example, if the count of 'y' is 2, the year will be displayed
as the zero-based year of the century, which is two digits.

Month:: 3 or over, use text, otherwise use number.

Zone:: 'Z' outputs offset without a colon, 'ZZ' outputs the offset with a
colon, 'ZZZ' or more outputs the zone id.

Zone names:: Time zone names ('z') cannot be parsed.

Any characters in the pattern that are not in the ranges of ['a'..'z'] and
['A'..'Z'] will be treated as quoted text. For instance, characters like ':',
 '.', ' ', '#' and '?' will appear in the resulting time text even they are
 not embraced within single quotes.

[[time-zones]]
==== Time zone in date range aggregations

Dates can be converted from another time zone to UTC by specifying the
`time_zone` parameter.

Time zones may either be specified as an ISO 8601 UTC offset (e.g. +01:00 or
-08:00) or as one of the http://www.joda.org/joda-time/timezones.html [time
zone ids] from the TZ database.

The `time_zone` parameter is also applied to rounding in date math expressions.
As an example, to round to the beginning of the day in the CET time zone, you
can do the following:

[source,js]
--------------------------------------------------
POST /sales/_search?size=0
{
   "aggs": {
       "range": {
           "date_range": {
               "field": "date",
               "time_zone": "CET",
               "ranges": [
                  { "to": "2016/02/01" }, <1>
                  { "from": "2016/02/01", "to" : "now/d" <2>},
                  { "from": "now/d" }
              ]
          }
      }
   }
}
--------------------------------------------------
// CONSOLE
// TEST[setup:sales]

<1> This date will be converted to `2016-02-15T00:00:00.000+01:00`.
<2> `now/d` will be rounded to the beginning of the day in the CET time zone.

==== 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]
--------------------------------------------------
POST /sales/_search?size=0
{
    "aggs": {
        "range": {
            "date_range": {
                "field": "date",
                "format": "MM-yyy",
                "ranges": [
                    { "to": "now-10M/M" },
                    { "from": "now-10M/M" }
                ],
                "keyed": true
            }
        }
    }
}
--------------------------------------------------
// CONSOLE
// TEST[setup:sales s/now-10M\/M/10-2015/]

Response:

[source,js]
--------------------------------------------------
{
    ...
    "aggregations": {
        "range": {
            "buckets": {
                "*-10-2015": {
                    "to": 1.4436576E12,
                    "to_as_string": "10-2015",
                    "doc_count": 7
                },
                "10-2015-*": {
                    "from": 1.4436576E12,
                    "from_as_string": "10-2015",
                    "doc_count": 0
                }
            }
        }
    }
}
--------------------------------------------------
// TESTRESPONSE[s/\.\.\./"took": $body.took,"timed_out": false,"_shards": $body._shards,"hits": $body.hits,/]

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

[source,js]
--------------------------------------------------
POST /sales/_search?size=0
{
    "aggs": {
        "range": {
            "date_range": {
                "field": "date",
                "format": "MM-yyy",
                "ranges": [
                    { "from": "01-2015",  "to": "03-2015", "key": "quarter_01" },
                    { "from": "03-2015", "to": "06-2015", "key": "quarter_02" }
                ],
                "keyed": true
            }
        }
    }
}
--------------------------------------------------
// CONSOLE
// TEST[setup:sales]

Response:

[source,js]
--------------------------------------------------
{
    ...
    "aggregations": {
        "range": {
            "buckets": {
                "quarter_01": {
                    "from": 1.4200704E12,
                    "from_as_string": "01-2015",
                    "to": 1.425168E12,
                    "to_as_string": "03-2015",
                    "doc_count": 5
                },
                "quarter_02": {
                    "from": 1.425168E12,
                    "from_as_string": "03-2015",
                    "to": 1.4331168E12,
                    "to_as_string": "06-2015",
                    "doc_count": 2
                }
            }
        }
    }
}
--------------------------------------------------
// TESTRESPONSE[s/\.\.\./"took": $body.took,"timed_out": false,"_shards": $body._shards,"hits": $body.hits,/]