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Too many tables are still implemented from scratch because requirements for the visuals, the use cases or the data source are different. So in this article we'll look at an approach that lets you replace UI libraries, UX templates and data sources - all with the same code. Pick what you need for your own tables from this github repo.
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The star wars example schema also introduces some relay-concepts, which can help with making the table more dynamic. For the table to support sorting and filtering, the rows need to be identifiable. In relay, the Node-interface carries an id-field, which means all graphql-types implementing Node are identifiable as well. That means when we encounter an id on an object, we've found a candidate for a row of a table. More meta-information about the row/Node exists in the __typename-field. So here we have a type, but at runtime - that would be a good candidate for a switch/case-statement in a row-generator.
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