amaliujia commented on code in PR #38849:
URL: https://github.com/apache/spark/pull/38849#discussion_r1035633581
##########
python/pyspark/sql/connect/column.py:
##########
@@ -508,45 +508,24 @@ def contains(self, other: Union[PrimitiveType, "Column"])
-> "Column":
"""
return _bin_op("contains")(self, other)
- def startswith(self, other: Union[PrimitiveType, "Column"]) -> "Column":
- """
- String starts with. Returns a boolean :class:`Column` based on a
string match.
-
- Parameters
- ----------
- other : :class:`Column` or str
- string at start of line (do not use a regex `^`)
-
- Examples
- --------
- >>> df = spark.createDataFrame(
- ... [(2, "Alice"), (5, "Bob")], ["age", "name"])
Review Comment:
This does not work in current Connect `createDataFrame` which does not allow
a `schema`
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