Github user falaki commented on the issue: https://github.com/apache/spark/pull/22455 @adrian555 These all great points. My high-level was enabling other platforms (e.g., Jupyter) to plugin more advanced (custom) functions for displaying SparkDataFrame. If the framework does not set anything, SparkR would use `show()` by default. But if the notebook environment has a nicer way of displaying, they can simply set a config to use that by default.
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