Kylin is the OLAP on Hadoop. OLAP is the read-only query engine. So we
suppose there is no update/delete operator directly. Kylin support build
incrementally. So if new data is ingested, you could build new one(new time
range). If you want to update existing cube since the underline data
changed, please click "Refresh" on the Cube.

2017-03-15 13:23 GMT-07:00 Sonny Heer <[email protected]>:

> Thanks ShaoFeng,
>
> views is what we are doing now.  How does kylin handle new/updated/deleted
> records?  I have a schema that i create a single view from (denormalized).
>  can you explain kylin's pattern to handle new/updated/deleted data?
>
> On Tue, Mar 14, 2017 at 6:21 PM, ShaoFeng Shi <[email protected]>
> wrote:
>
>> View might be slower, but it is flexible. This is a tradeoff.
>>
>> 2017-03-14 4:15 GMT+08:00 Sonny Heer <[email protected]>:
>>
>>> How about Hive view fed into kylin vs materialized table...performance
>>> impact?
>>>
>>> On Fri, Mar 10, 2017 at 1:34 AM, ShaoFeng Shi <[email protected]>
>>> wrote:
>>>
>>>> One Cube is one topic, all activities like build and ACL are managed by
>>>> cube; one query should only hit one cube; acrossing cube query isn't
>>>> suggested.
>>>>
>>>
>>>
>>>
>>> --
>>>
>>>
>>> Pushpinder S. Heer
>>> Senior Software Engineer
>>> m: 360-434-4354 <(360)%20434-4354> h: 509-884-2574 <(509)%20884-2574>
>>>
>>
>>
>>
>> --
>> Best regards,
>>
>> Shaofeng Shi 史少锋
>>
>>
>
>
> --
>
>
> Pushpinder S. Heer
> Senior Software Engineer
> m: 360-434-4354 h: 509-884-2574
>

Reply via email to