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Both of these two functions take two arguments: start and end of the frame and they can be specified as follows:

- Window.unboundedPreceding, Window.unboundedFollowing — the entire window from the beginning to the end
- Window.unboundedPreceding, Window.currentRow — from the beginning of the window to the current row, this is used for the cumulative sum
- using numerical values, for example, 0 means currentRow, but the meaning of other values can differ based on the framing function rowsBetween/rangeBetween.

df.withColumn('activity_sum', sum('activity').over(w))
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Spark Listener Demo

This demonstrates Spark Job, Stage and Tasks Listeners

1) Start spark-shell

Welcome to
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$ sudo apt install stockfish
$ sudo apt upgrade stockfish
$ pip install chess
    
import chess.pgn
import chess.engine

# Load the PGN file
pgn = open("./file.pgn")
engine = chess.engine.SimpleEngine