Hi Noureddine:
The max physical dimension number (exclude derived column in lookup
tables) in a cube is 63; If you can normalize some dimensions to lookup tables,
with derived dimensions, you can create a cube with more than 100 dimensions.
But a cube with > 30 physical dimensions is not recommended; You even
couldn’t save that in Kylin if you don’t optimize the aggregation groups.
Please search “curse of dimensionality”.
> 在 2019年12月4日，22:41，Noureddine Dahmane <[email protected]> 写道：
>
> Hello,
>
> i am trying to create a cube in kylin with the following Star schema:
>
> - fact table: click with 32 measures
> - dimension tables:
> - brand : 2 columns
> - campaign: 8 columns
> - traffic_source: 11 columns
> - shop_source: 40 columns
> - traffic_source: 4 columns
> - category; 8 columns
>
> i tried to reduce the complexity of the cube based on the rules like
> hierarchies, join columns and mandatory columns.
> however, none of these rules can be applied to my sql statements.
>
> Moreover, building a cube of 73 dimensions (all columns of the dimensions
> tables) is not possible in KYLIN (kylin throws exception and says i should
> use derived, hierarchies, and join columns to reduce the dimensions
> combinations).
>
> is there any way can i do this or am i doing something wrong in kylin?
>
> thank you in advance.
>
> Noureddine
>
> --
> Noureddine Dahmane
> Software Developer
>
>
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