You cant portioned your cube per week.  Must be per yyyy-mm-dd

You can perform your own test.  Doing a calculate per year as dim and year
as sum of days

On 1 Mar 2018 3:50 p.m., "deva namaste" <[email protected]> wrote:

> Hi Alberto,
>
> when I was saying 6 vs 365 its for one item. for 20 Million items it will
> multiply by a lot.  Do you think it wont make much differnce?
> Also what is  YY-MM-WW ? so I can explain you? Basically I need same
> avg() for week, month, year, etc.
>
> Thanks
> Deva
>
> On Thu, Mar 1, 2018 at 8:42 AM, Alberto Ramón <[email protected]>
> wrote:
>
>> - the 95% of time response, are latencies (= there is no difference
>> between sum one int or 365, I thought the same when I started with Kylin)
>> - The YY-MM-WW, is not implemented, but can be nice if you can contribute
>> to it
>>
>> Alb
>>
>> On 28 February 2018 at 22:59, deva namaste <[email protected]> wrote:
>>
>>> I was thinking of saving only 6 records in kylin instead of splitting
>>> them outside in daily avg and adding 365 records for each item.  So is
>>> there anyway I can achieve using sql level in kylin or have changes to
>>> model to accomodate above change? Please advice. Thanks
>>>
>>> On Wed, Feb 28, 2018 at 5:51 PM, Alberto Ramón <
>>> [email protected]> wrote:
>>>
>>>> Sounds like:
>>>> - your minimum granularity for queries are on Weeks, your fact table
>>>> need be on weeks (or less, like days)
>>>> - you will need expand you actual fact table to weeks (or more, days)
>>>> Example use a hive view
>>>> - as extra:  Kylin can't use partition format columns on weeks, the
>>>> minimum es days
>>>>
>>>> Alb
>>>>
>>>> On 28 February 2018 at 21:51, deva namaste <[email protected]> wrote:
>>>>
>>>>> Hello,
>>>>>
>>>>> How would I calculate value for a week while I have bi-monthly values.
>>>>>
>>>>> e.g. Here is my data looks like -
>>>>>
>>>>> Date       -  Value
>>>>> 01/18/2017 -  100
>>>>> 03/27/2017 -  130  (68 Days)
>>>>> 05/17/2017 -  102  (51 Days)
>>>>>
>>>>> I need average value per week, as below. Lets consider between 03/27
>>>>> and 05/17. So total days between period are 51. so Daily average would be
>>>>> 102/51= 2.04
>>>>>
>>>>> Week4 (Starting March 26, #days = 4) = (4 x 2.04) = 8.16
>>>>> Week1 (Starting Apr 2, #days = 7) = 14.28
>>>>> Week2 (starting Apr 9, #days = 7)= 14.28
>>>>> Week3 (starting Apr 16, #days = 7)= 14.28
>>>>> Week4 (starting Apr 23, #days = 7)= 14.28
>>>>> week5 (Starting Apr 30, #days =7)= 14.28
>>>>> week1 (starting May 7, #days = 7)= 14.28
>>>>> Week2 (starting May 14, #days = 4)= 8.16
>>>>>
>>>>> But as you see that period from 01/18 to 03/27, have 68 days and daily
>>>>> average would be 130/68=1.91
>>>>>
>>>>> So really to get complete week I need 3 days from 130 value and 4 days
>>>>> from 102 value.
>>>>>
>>>>> So real total for that first week would be -
>>>>> Week4 (Starting March 26, #days = 4) = (4x2.04=8.16) + (3x1.91=5.73) =
>>>>> 13.89
>>>>>
>>>>> How would I achieve this in Kylin? Any function? or other method I can
>>>>> use?
>>>>> Just for 6 records for year, I dont want to populate daily records.
>>>>> Thanks
>>>>> Deva
>>>>>
>>>>>
>>>>>
>>>>
>>>
>>
>

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