Hello Simon ,
I didn't quite understand your question.
Kindly elaborate.
Thanks
Vineeth
On Mon, Sep 1, 2014 at 7:59 PM, Simon Edwards <[email protected]>
wrote:
> Hello Vineeth,
>
> Many thanks for your reply, sounds like your method should work a treat!
>
> One quick noob question, where abouts are the date histograms aggregations
> created? Are they created on the index or on the dashboard itself? Any help
> is appreciated.
>
> Cheers,
> Si.
>
>
> On Monday, September 1, 2014 2:11:02 PM UTC+1, vineeth mohan wrote:
>
>> Hello Simon ,
>>
>> I believe this can be done in this manner.
>> Do 2 separate date histogram on the date_submitted field and date_closed
>> field.
>> The sum of count of date_submitted minus the sum of count on date_closed
>> on all the previous date should give you the number of open issues for that
>> week.
>>
>> For eg:
>>
>> Week1 - Open - 10 , closed - 5
>> Week2 - Open 20 m ,closed 6
>> Week3 - Open 30 , closed 10
>>
>> Number of open issues on
>> Week1 - 10
>> Week2 - (20 + 10 ) - 5 = 25
>> Week3 - ( 30 + 20 + 10 ) - (6 + 5) = 49
>>
>>
>> Thanks
>> Vineeth
>>
>>
>>
>> On Mon, Sep 1, 2014 at 5:25 PM, Simon Edwards <[email protected]> wrote:
>>
>>> Hi,
>>>
>>> I was wondering if somebody familiar with aggregations, particularly
>>> date histogram aggregations, can point me in the right direction.
>>>
>>> I'm currently looking to get a total count of records over a specific
>>> time period. Each record contains a "date_submitted" field and if they're
>>> closed, contain a "date_closed" field.
>>>
>>> Is it possible to aggregate the records based off these values (i.e.
>>> only showing open issues for a weekly period, even if the record was
>>> submitted a year ago)? If so where abouts are the aggregations specified?
>>> In the dashboard JSON or within the index mapping?
>>>
>>> Many thanks in advance.
>>>
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