Github user brkyvz commented on the issue:
https://github.com/apache/spark/pull/15702
A very dumb question (I apologize), there is nothing stopping a user to
actually use processing time as watermarks with this API either. One can easily
do `df.withColumn("timestamp",
current_timestamp()).withWatermark("timestamp")`. I like that we're suggesting
users to use `eventTime` for stability, but we're not actually constraining
them, right?
My biggest confusion here, that I couldn't find documented was the Type of
the watermark column. Does it need to be timestamp type or can it be LongType?
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