What is the method for making a struct in a Spark dataframe less complex?

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There are several methods for making a struct in a Spark dataframe less complex, such as:

1. Flatten the struct using the explode or flatten function, which converts a nested struct into a flattened dataframe.

2. Select only the necessary fields from the struct using the select function, which extracts the required fields and drops the rest.

3. Rename the fields of the struct to more meaningful names that are easier to understand using the withColumnRenamed or alias function.

4. Convert the struct into a JSON format using the toJSON function, which serializes the struct into a JSON string.

5. Split the complex struct into smaller sub-structs that are easier to manage and understand using the split or slice function.