Changes for page Gestion des légendes
Last modified by Aurelie Bertrand on 2020/10/16 19:20
From version 1.2
edited by baudard
on 2020/10/16 17:24
on 2020/10/16 17:24
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To version 2.1
edited by Aurelie Bertrand
on 2020/10/16 19:20
on 2020/10/16 19:20
Change comment:
There is no comment for this version
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... ... @@ -18,4 +18,43 @@ 18 18 19 19 == Example : import an external dimension == 20 20 21 - 21 +Let's considerate two data models from two data sources : 22 + 23 +- the first is a data model representing a fact table : //**historic_of_flux**// 24 +[[image:1602867763968-485.png]] 25 + 26 +- the second is a data model representing a dimension table : //**HR Final**// 27 +[[image:1602867838412-173.png]] 28 + 29 +This example will show how to import an external dimension related to the "Transmitter" dimension of the first data model. 30 + 31 +1. In the first data source model, select the dimension on which it is necesary to add an external dimension. 32 +[[image:1602867977561-122.png]] 33 +1. ((( 34 +On the "**Properties**" section, click on "**Advanced...**" 35 +[[image:1602868130812-162.png]] 36 +))) 37 +1. ((( 38 +On the pop-up window, check the first box "**Import external dimension from another data source**". 39 +[[image:1602868310600-875.png]] 40 +))) 41 +1. ((( 42 +In the "**External Dimension Selecteion**" section, click on **Select** 43 +))) 44 +1. ((( 45 +Choose the appropriate data source containing the external dimenion 46 +[[image:1602868437687-139.png]] 47 +))) 48 +1. ((( 49 +Then choose the external dimension : here, we have to choose the dimension corresponding to the initial dimension. The name of the dimension can vary, but members should be the same. 50 +[[image:1602868654368-304.png]] 51 +))) 52 +1. ((( 53 +We can now validate the operation by clicking on OK 54 +A pop-up message inform that this operation will override all settings currently applied to this dimension. 55 +))) 56 +1. ((( 57 +Then, on the first data source model, we can retrieve the hierarchies corresponding to the external dimension on the dimension. Of course, we could use these hierarchies in the charts that we will configurate in DigDash. 58 +[[image:1602868835712-701.png]] 59 +))) 60 +