In Spark if I want to be able to get a set of unique rows by id, using the
criteria of keeping the row with the latest timestamp, I would do the following:
.withColumn("rn",
F.row_number().over(
Window.partitionBy('id') \
.orderBy(F.col('timestamp').desc())
)
) \
.where(F.col("rn") == 1)
I see Flink has windowing functionality, but I don't see it has row
enumeration? How best in that case would I achieve the above?
Thanks,
James.
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