Hi there, I have a table of products with multiple columns for various sizes of that product. So, for examples, one row is T-shirt, with Size 1 column as Small, Size 2 columns as Medium, etc. In the data editor in Glide, the columns combine to one column with what looks like a relation column. Howe…

You created an array column because of the sequential numbering. The icon is the same as a relation, but it is not a relation and has a completely different function. Underlying is still the individual columns. If you want to display the various sizes, just add a component for each individual siz…

Hi there @BryanMitchiner , how are you? In the “Size 1 Small”, “Size 2 Medium” … columns, what is the nature of the data: integers (basically the quantity in stock)? I ask to understand better what you are trying to achieve in the front-end. If this is the case, I believe you are trying to achieve …

Thanks, @Jeff_Hager and @nathanaelb . It sounds like the only way to do it is via Jeff’s strategy… because the scenario is a bit different than I described. It’s actually that I have different shaped bottles, and I want to display what sizes are available for each shape. That is, I have Bottle A, Bo…

Yes, those are correct assumptions. I would stick with the multiple columns like you already have. No need to change heading names or anything. Then add a basic table component to display each size by setting each individual column in the component settings.

I agree with @Jeff_Hager . Stick to option 2), although I would amend your sentence to “Display the data in the size columns as one or more components.” The basic table component is one component that displays multiple item attributes.

This was solved here. [image] Solved: Dynamic product variants in choice component Ask for Help Thanks to the brilliant @Jeff_Hager , we have now successfully implemented a dynamic product variant choice component. It was started from this discussion. Based on this disc…

Arraycolumn relation within one table

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ThinhDinh July 12, 2020, 2:14am 8

This was solved here.

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Arraycolumn relation within one table

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