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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)) | |
https://miro.medium.com/max/1400/1*WYO-zRP1SlrzGqT4S_5Jvw.webp | |
More details: | |
https://towardsdatascience.com/spark-sql-102-aggregations-and-window-functions-9f829eaa7549 |
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