Hi Guys - Having trouble figuring out the semantics for using the alias function on the final sum and count aggregations?
>>> cool_summary = reviews.select(reviews.user_id,
cool_cnt("votes.cool").alias("cool_cnt")).groupBy("user_id").agg({"cool_cnt":"sum","*":"count"})
>>> cool_summary
DataFrame[user_id: string, SUM(cool_cnt#725): double, COUNT(1): bigint]
