## Date Range Aggregation (日期范圍聚合)
用于日期值的范圍聚合。此聚合和正常[range](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-range-aggregation.html)(范圍)聚合的主要區別在于可以用[Date Math](https://www.elastic.co/guide/en/elasticsearch/reference/current/common-options.html#date-math)(日期數學)表達式來表示from和to的值,并且還可以指定返回 from 和 to 響應字段的日期格式。注意,此聚合包含 from 值,但是不包含 ?to 值。
例子:
|
`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`
`]`
`}`
`}`
`}`
`}`
|
#1 ?
#2 ??>=現在減去10個月,向下舍入到月初
上面的例子,我們創建了兩個范圍buckets(區間),第一個將“bucket”的所有文件在10個月前,而第二個將“bucket”所有的文件都是10個月前的
結果:
|
`{`
`...`
`"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-*"`
`}`
`]`
`}`
`}`
`}`
|
### Date Format/Pattern (日期格式)
這些信息是從[JodaDate](http://www.joda.org/joda-time/apidocs/org/joda/time/format/DateTimeFormat.html)復制過來的
所有ASCII字母都保留為格式模式字母,定義如下:
| 符號 | 含義 | Presentation | 范例 |
| 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 | '' |
模式字母的數量決定了格式
Text
? ? ?如果模式字母的數量是4或更多,則使用完整的形式,否則,如果有的話,使用簡短或縮寫形式。
Number
? ? 最小位數 ,如果不足用0填充
Year
? ??特別處理年,年的數字表示。 例如,如果y的計數為2,則該年份將顯示為本世紀的零年,這是兩位數。
Month
? ??3或以上,使用文字,否則使用數字
Zone
? ??Z輸出無冒號的偏移量,ZZ以冒號輸出偏移量,ZZZ或更大輸出區域ID。
Zone names
? ??時區名稱(z)無法解析。
任何不在[a..z]和[A..Z]范圍內的字符都將被視為引用的文本。 例如,像:,。,','#和? 即使它們不包含在單引號內,也會出現在生成的時間文本中。
### Time zone in date range aggregations(日期范圍聚合中的時區)
可以通過指定time_zone參數將日期從另一個時區轉換為UTC。
時區可以被指定為ISO 8601 UTC偏移量(例如+01:00或-08:00),也可以指定為TZ數據庫的時區ID之一。
time_zone參數也適用于日期數學表達式中的舍入。 例如,要在CET時區開始一天的開始,您可以執行以下操作:
|
`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" }`
`]`
`}`
`}`
`}`
`}`
|
#1 ??這個日期將改為2016-02-15t00:00 + 01:00
#2 ?now/d ?將在CET時區四舍五入到一天的開始
### Keyed Response
將 keyed 標志設置為 true ,會將唯一的key與每個bucket關聯起來,并將范圍作為散列而不是數組返回
|
`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`
`}`
`}`
`}`
`}`
|
結果:
|
`{`
`...`
`"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`
`}`
`}`
`}`
`}`
`}`
|
也可以為每個區間自定義key
|
`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`
`}`
`}`
`}`
`}`
|
響應結果:
|
`{`
`...`
`"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`
`}`
`}`
`}`
`}`
`}`
|
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