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new cf5fc0c720ee [MINOR][DOCS] Fix type hint of 3 functions
cf5fc0c720ee is described below
commit cf5fc0c720eef01c5fe86a6ce05160adbdbf4678
Author: Ruifeng Zheng <ruife...@apache.org>
AuthorDate: Tue Apr 23 07:42:44 2024 -0700
[MINOR][DOCS] Fix type hint of 3 functions
### What changes were proposed in this pull request?
Fix type hint of 3 functions
I did a quick scan of the functions, don't find other similar places.
### Why are the changes needed?
a string input will be treated as literal instead of column name
### Does this PR introduce _any_ user-facing change?
no
### How was this patch tested?
ci
### Was this patch authored or co-authored using generative AI tooling?
no
Closes #46179 from zhengruifeng/correct_con.
Authored-by: Ruifeng Zheng <ruife...@apache.org>
Signed-off-by: Dongjoon Hyun <dh...@apple.com>
---
python/pyspark/sql/connect/functions/builtin.py | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/python/pyspark/sql/connect/functions/builtin.py
b/python/pyspark/sql/connect/functions/builtin.py
index 519e53c3a13f..8fffb1831466 100644
--- a/python/pyspark/sql/connect/functions/builtin.py
+++ b/python/pyspark/sql/connect/functions/builtin.py
@@ -2141,7 +2141,7 @@ def sequence(
sequence.__doc__ = pysparkfuncs.sequence.__doc__
-def schema_of_csv(csv: "ColumnOrName", options: Optional[Dict[str, str]] =
None) -> Column:
+def schema_of_csv(csv: Union[str, Column], options: Optional[Dict[str, str]] =
None) -> Column:
if isinstance(csv, Column):
_csv = csv
elif isinstance(csv, str):
@@ -2161,7 +2161,7 @@ def schema_of_csv(csv: "ColumnOrName", options:
Optional[Dict[str, str]] = None)
schema_of_csv.__doc__ = pysparkfuncs.schema_of_csv.__doc__
-def schema_of_json(json: "ColumnOrName", options: Optional[Dict[str, str]] =
None) -> Column:
+def schema_of_json(json: Union[str, Column], options: Optional[Dict[str, str]]
= None) -> Column:
if isinstance(json, Column):
_json = json
elif isinstance(json, str):
@@ -2181,7 +2181,7 @@ def schema_of_json(json: "ColumnOrName", options:
Optional[Dict[str, str]] = Non
schema_of_json.__doc__ = pysparkfuncs.schema_of_json.__doc__
-def schema_of_xml(xml: "ColumnOrName", options: Optional[Dict[str, str]] =
None) -> Column:
+def schema_of_xml(xml: Union[str, Column], options: Optional[Dict[str, str]] =
None) -> Column:
if isinstance(xml, Column):
_xml = xml
elif isinstance(xml, str):
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