zhengruifeng commented on code in PR #42783:
URL: https://github.com/apache/spark/pull/42783#discussion_r1314365390
##########
python/pyspark/sql/functions.py:
##########
@@ -15748,6 +15749,33 @@ def java_method(*cols: "ColumnOrName") -> Column:
return _invoke_function_over_seq_of_columns("java_method", cols)
+@try_remote_functions
+def try_reflect(*cols: "ColumnOrName") -> Column:
+ """
+ This is a special version of `reflect` that performs the same operation,
but returns a NULL
+ value instead of raising an error if the invoke method thrown exception.
+
+
+ .. versionadded:: 4.0.0
+
+ Parameters
+ ----------
+ cols : :class:`~pyspark.sql.Column` or str
+ the first element should be a literal string for the class name,
+ and the second element should be a literal string for the method name,
+ and the remaining are input arguments to the Java method.
+
+ Examples
+ --------
+ >>> df =
spark.createDataFrame([("a5cf6c42-0c85-418f-af6c-3e4e5b1328f2",)], ["a"])
+ >>> df.select(
+ ... try_reflect(lit("java.util.UUID"), lit("fromString"),
df.a).alias('r')
+ ... ).collect()
Review Comment:
```suggestion
>>> from pyspark.sql import functions as sf
>>> df =
spark.createDataFrame([("a5cf6c42-0c85-418f-af6c-3e4e5b1328f2",)], ["a"])
>>> df.select(
... sf.try_reflect(lit("java.util.UUID"), sf.lit("fromString"), df.a)
... ).collect()
```
for the new docstring, please follow `from pyspark.sql import functions as
sf` to import
also please do not use `.alias('r')`, so that we can also check whether the
default output column name is consisent with SQL
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