zero323 commented on a change in pull request #34951:
URL: https://github.com/apache/spark/pull/34951#discussion_r772705290
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File path: python/pyspark/sql/functions.py
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@@ -79,16 +80,34 @@ def _invoke_function(name: str, *args: Any) -> Column:
and wraps the result with :class:`~pyspark.sql.Column`.
"""
assert SparkContext._active_spark_context is not None
- jf = _get_get_jvm_function(name, SparkContext._active_spark_context)
+ jf = _get_jvm_function(name, SparkContext._active_spark_context)
return Column(jf(*args))
+def _invoke_function_over_columns(name: str, *cols: "ColumnOrName") -> Column:
+ """
+ Invokes n-ary JVM function identified by name
+ and wraps the result with :class:`~pyspark.sql.Column`.
+ """
+ return _invoke_function(name, *(_to_java_column(col) for col in cols))
+
+
def _invoke_function_over_column(name: str, col: "ColumnOrName") -> Column:
Review comment:
That was my initial choice and then I looked at all the
`_invoke_function_over_columns(col)` and it seemed a little bit confusing ‒
like there is something missing. It is highly subjective though, so I won't
insist on this particular approach :)
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