zhengruifeng commented on code in PR #38806:
URL: https://github.com/apache/spark/pull/38806#discussion_r1033090021
##########
python/pyspark/sql/connect/column.py:
##########
@@ -314,3 +323,70 @@ def to_plan(self, session: "SparkConnectClient") ->
proto.Expression:
def __str__(self) -> str:
return f"({self._op} ({', '.join([str(x) for x in self._args])}))"
+
+
+class Column(object):
+ """
+ A column in a DataFrame. Column can refer to different things based on the
+ wrapped expression. Some common examples include attribute references,
functions,
+ literals, etc.
+
+ .. versionadded:: 3.4.0
+ """
+
+ def __init__(self, expr: Expression) -> None:
+ self._expr = expr
+
+ __gt__ = _bin_op(">")
+ __lt__ = _bin_op("<")
+ __add__ = _bin_op("+")
+ __sub__ = _bin_op("-")
+ __mul__ = _bin_op("*")
+ __div__ = _bin_op("/")
+ __truediv__ = _bin_op("/")
+ __mod__ = _bin_op("%")
+ __radd__ = _bin_op("+", reverse=True)
+ __rsub__ = _bin_op("-", reverse=True)
+ __rmul__ = _bin_op("*", reverse=True)
+ __rdiv__ = _bin_op("/", reverse=True)
+ __rtruediv__ = _bin_op("/", reverse=True)
+ __pow__ = _bin_op("pow")
+ __rpow__ = _bin_op("pow", reverse=True)
+ __ge__ = _bin_op(">=")
+ __le__ = _bin_op("<=")
+ # __eq__ = _bin_op("==") # ignore [assignment]
+
+ def __eq__(self, other: Any) -> "Column": # type: ignore[override]
+ """Returns a binary expression with the current column as the left
+ side and the other expression as the right side.
+ """
+ from pyspark.sql.connect._typing import PrimitiveType
+ from pyspark.sql.connect.functions import lit
+
+ if isinstance(other, get_args(PrimitiveType)):
+ other = lit(other)
+ return scalar_function("==", self, other)
+
+ def to_plan(self, session: "SparkConnectClient") -> proto.Expression:
+ return self._expr.to_plan(session)
Review Comment:
now I think it is fine to just use expressions in proto messages.
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