[Data] Add save modes to file data sinks

[iamjustinhsu]

Why are these changes needed?

In write_parquet, we want to be able to support

• OVERWRITE: (If dir present, delete then write, otherwise, just create dir, then write)

A more detailed description can be found in https://spark.apache.org/docs/latest/sql-data-sources-load-save-functions.html#save-modes

This PR was meant to address https://anyscale1.atlassian.net/browse/DATA-946, but since the other save modes weren't that much work, I added the additional following 3 from apache spark too

• IGNORE: (if dir present, silently pass)
• ERROR: (if dir present, throw error)
• APPEND (this is the current behavior we have, if dir present, we append files. Any conflicting file names are overwritten)

Related issue number

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[dujl]

The savemode parameter in write_numpy(), write_webdataset(), and write_tfrecords() is currently non-functional.

I have observed that you have already integrated the mode (presumably referring to the parameter analogous to savemode) into the implementations of write_numpy(), write_webdataset(), and write_tfrecords(). However, a key oversight appears to be the lack of passing this mode parameter to underlying components such as TFRecordDatasink (and potentially other relevant datasink classes for Numpy/WebDataset).

[bveeramani]

@dujl Good catch! Here's a GitHub Issue for this: #57924.

Would you want to pick this up?