问题
As of Spark 1.5.0 it seems possible to write your own UDAF's for custom aggregations on DataFrames: Spark 1.5 DataFrame API Highlights: Date/Time/String Handling, Time Intervals, and UDAFs
It is however unclear to me if this functionality is supported in the Python API?
回答1:
You cannot defined Python UDAF in Spark 1.5.0-2.0.0. There is a JIRA tracking this feature request:
- https://issues.apache.org/jira/browse/SPARK-10915
resolved with goal "later" so it probably won't happen anytime soon.
You can use Scala UDAF from PySpark - it is described Spark: How to map Python with Scala or Java User Defined Functions?
来源：https://stackoverflow.com/questions/33502263/is-spark-sql-udaf-user-defined-aggregate-function-available-in-the-python-api