Github user viirya commented on the issue:
https://github.com/apache/spark/pull/17371
For now, after `withWatermark`, we only update the metadata for the column
of event time. The expression id is the same. So once we use the column before
adding watermark `words.timestamp` as grouping expression, it binds to the old
attribute before watermarking.
I am thinking, should we create new expression id for the watermarking
column with `withWatermark`? So we must write the query like:
wordsWithWatermark = words.withWatermark("timestamp", "30 seconds")
windowedCounts =
wordsWithWatermark.groupBy(window(wordsWithWatermark.timestamp, "30 seconds",
"30 seconds"), wordsWithWatermark.word).count()
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