HyukjinKwon commented on code in PR #39183:
URL: https://github.com/apache/spark/pull/39183#discussion_r1055930680
##########
python/pyspark/sql/session.py:
##########
@@ -1293,20 +1293,25 @@ def prepare(obj: Any) -> Any:
df._schema = struct
return df
- def sql(self, sqlQuery: str, **kwargs: Any) -> DataFrame:
+ def sql(self, sqlQuery: str, args: Dict[str, str] = {}, **kwargs: Any) ->
DataFrame:
"""Returns a :class:`DataFrame` representing the result of the given
query.
When ``kwargs`` is specified, this method formats the given string by
using the Python
- standard formatter.
+ standard formatter. The method binds named parameters to SQL literals
from `args`.
.. versionadded:: 2.0.0
.. versionchanged:: 3.4.0
- Support Spark Connect.
+ Support Spark Connect and parameterized SQL.
Parameters
----------
sqlQuery : str
SQL query string.
+ args : dict
+ A dictionary of named parameters that begin from the `:` marker and
+ their SQL literals for substituting.
+
+ .. versionadded:: 3.4.0
Review Comment:
```suggestion
.. versionadded:: 3.4.0
```
##########
python/pyspark/pandas/sql_formatter.py:
##########
@@ -99,6 +102,11 @@ def sql(
e f 3 6
Also note that the index name(s) should be matched to the existing
name.
+ args : dict
+ A dictionary of named parameters that begin from the `:` marker and
+ their SQL literals for substituting.
+
+ .. versionadded:: 3.4.0
Review Comment:
```suggestion
.. versionadded:: 3.4.0
```
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