#2789 [Core feature] Support for nested schema for spark DataFrames Issue created by nadasaiyed ### Motivation: Why do you think this is important? Flyte does not support nested

StructuredDatasets

for example:

schema = StructType([
        StructField('name', StructType([
            StructField('firstname', StringType(), True),
            StructField('middlename', StringType(), True),
            StructField('lastname', StringType(), True)
            ])),
        StructField('state', StringType(), True),
        StructField('gender', StringType(), True)
        ])

This allows for enforcing nested schema during compile time for a

StructuredDataset

Some datasets are naturally nested and it would be good if flyte could support that. Right now the current workaround is to not enforce schema type or flatten the dataset. But native support from Flyte would be the ideal path forward. ### Goal: What should the final outcome look like, ideally? Flyte supports nested

StructuredDataset

### Describe alternatives you've considered not enforcing compile time checking and returning the Dataframe as is without

StructuredDataset

wrapper. ### Propose: Link/Inline OR Additional context No response ### Are you sure this issue hasn't been raised already? • Yes ### Have you read the Code of Conduct? • Yes flyteorg/flyte