zhengruifeng commented on code in PR #38872:
URL: https://github.com/apache/spark/pull/38872#discussion_r1037857406
##########
python/pyspark/sql/connect/functions.py:
##########
@@ -14,29 +14,81 @@
# See the License for the specific language governing permissions and
# limitations under the License.
#
-from pyspark.sql.connect.column import Column, LiteralExpression,
ColumnReference
+from pyspark.sql.connect.column import (
+ Column,
+ Expression,
+ LiteralExpression,
+ ColumnReference,
+ UnresolvedFunction,
+)
-from typing import Any, TYPE_CHECKING
+from typing import Any, TYPE_CHECKING, Union, List
if TYPE_CHECKING:
from pyspark.sql.connect._typing import ColumnOrName
+
# TODO(SPARK-40538) Add support for the missing PySpark functions.
def _to_col(col: "ColumnOrName") -> Column:
return col if isinstance(col, Column) else column(col)
-def col(x: str) -> Column:
- return Column(ColumnReference(x))
+def _invoke_function(name: str, *args: Union[Column, Expression]) -> Column:
+ """
+ Simple wrapper function that converts the arguments into the appropriate
types.
+ Parameters
+ ----------
+ name Name of the function to be called.
+ args The list of arguments.
+
+ Returns
+ -------
+ :class:`UnresolvedFunction`
+ """
+ expressions: List[Expression] = []
+ for arg in args:
+ assert isinstance(arg, (Column, Expression))
+ if isinstance(arg, Column):
+ expressions.append(arg._expr)
+ else:
+ expressions.append(arg)
+ return Column(UnresolvedFunction(name, expressions))
+
+
+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`.
+ """
+ _cols = [_to_col(c) for c in cols]
+ return _invoke_function(name, *_cols)
+
+
+def _invoke_binary_math_function(name: str, col1: Any, col2: Any) -> Column:
+ """
+ Invokes binary JVM math function identified by name
Review Comment:
good catch, will update
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