Is there a way to drop parquet file partitions through Spark? I'm partitioning a parquet file by a date field and I would like to drop old partitions in a file system agnostic manner. I guess I could read the whole parquet file into a DataFrame, filter out the dates to be dropped, and overwrite the parquet file, but that is quite a heavy task if there are lots of partitions and I only need to drop a couple.
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