321 lines
9.8 KiB
Plaintext
321 lines
9.8 KiB
Plaintext
[[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,/]
|