Grouping and setting attributes by group in data modeler

Hi,
I wanted the enhancement to hide foreign keys but until that comes I was thinking I could simply set all the foreign key I want not visible to a colour of white, which worked quite well.
For the tables that are basically System such as Language Codes - I defined a Classification Type of System and set them to an identifiable colour to show they are connected but the connections will not be visible on the diagram.
Then I tried to do the same for the Foreign keys but there is no way of setting a standard colour which can be changed.
So I had to set each one to white, which is a pain but then I have white marks across my diagram which I may be able to live
with. In most diagrammer mappers they have a send to back which would solve this - please???
But then I come to the problem that I can't then see them to change them back as they are white ;)
Is there any grouping mechanism that I can group together foreign keys so I can put in this temporary fix?
So I guess I'm on
1. Classification for Foreign Keys - any way to do this?
2. Grouping and Sending groups to the front or back of the diagram.
Thanks,
p.

Hi,
you can use dynamic properties to build your own functionality - there is dynamic properties page for each object. you can create them using UI and use them in scripting.
the following script uses dynamic property "cl_type" and check for value "t2"
fkeys = model.getFKIndexAssociationSet().toArray();
//create color using integer
color = new java.awt.Color(16724838);
for (var i = 0; i < fkeys.length; i++) {
fk = fkeys;
cl_type = fk.getProperty("cl_type");
if(cl_type!=null){
if(cl_type.indexOf("t2")==0){
fk.setUseDefaultColor(false);
fk.setBackgroundColor(color);
fk.resetEdgeParams();
}else{
// set for other types or reset to default
fk.setUseDefaultColor(true);
fk.setBackgroundColor(null);
fk.resetEdgeParams();
you need to transform RGB color to integer - I found calculator here http://www.shodor.org/stella2java/rgbint.html
Philip

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In our experience you only need to think about things like this if you were dealing with 100s or 1000s of instances (typically via ODS). As you have a very low number, the differences will be negligible, and you should (usually) go with the solution which is the most similar to the source material or the business user's understanding. I also assume this is an OWD project? Which can be even better, since the inferencing is done incrementally when new data is added to the rulebase, rather than in one "big bang" like ODS.
It looks like design 1 is the simplest to understand and explain. I'm just wondering why you need the option entity at all, since it seems like a to-one relationship? So the person can only have one option 1 amount, one option 2 amount etc, and there are only ever going to be (up to) 5 options...is that assumption correct? If so, you could just keep these as attributes on the person level without the need for instances. If there are other requirements for an option instance then of course, use them, but given the information here, the option entity doesnt seem to be needed. That would be the fastest of all :-)
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Grouping and setting attributes by group in data modeler

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