zero323 commented on code in PR #37748:
URL: https://github.com/apache/spark/pull/37748#discussion_r960952519
##########
python/pyspark/sql/functions.py:
##########
@@ -108,13 +108,10 @@ def _invoke_binary_math_function(name: str, col1: Any,
col2: Any) -> Column:
Invokes binary JVM math function identified by name
and wraps the result with :class:`~pyspark.sql.Column`.
"""
- return _invoke_function(
- name,
- # For legacy reasons, the arguments here can be implicitly converted
into floats,
- # if they are not columns or strings.
- _to_java_column(col1) if isinstance(col1, (str, Column)) else
float(col1),
- _to_java_column(col2) if isinstance(col2, (str, Column)) else
float(col2),
- )
+
+ # For legacy reasons, the arguments here can be implicitly converted into
column
+ cols = [_to_java_column(c if isinstance(c, (str, Column)) else lit(c)) for
c in (col1, col2)]
Review Comment:
JVM literal column can be created directly with
[`_create_column_from_literal`](https://github.com/apache/spark/blob/fdc11ab0494a681444e7a7e13f3f99d25fa6cf2f/python/pyspark/sql/column.py#L47-L50).
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