I am looking into implementing a UserDefinedAggregateFunction in spark and see that a bufferSchema is needed. I understand how to create it, but my issue is why does it require a bufferSchema? Should it not only need a size (number of elements for use in aggregation), an inputSchema and a dataType? Doesn't a bufferSchema constrain it to UserDefinedTypes in the intermediate steps in sql?
Why does MutableAggregationBuffer in UserDefinedAggregateFunction require a bufferSchema?
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This is needed because the buffer schema can differ from the input type. For example if you want to calculate the average (arithmetic mean) of doubles, the buffer needs a count and a sum in this case See e.g. the example from databricks how to calculate the geometric mean : https://docs.databricks.com/spark/latest/spark-sql/udaf-scala.html