dtenedor commented on code in PR #48143:
URL: https://github.com/apache/spark/pull/48143#discussion_r1774154034
##########
python/pyspark/sql/connect/functions/builtin.py:
##########
@@ -1008,6 +1008,22 @@ def unhex(col: "ColumnOrName") -> Column:
unhex.__doc__ = pysparkfuncs.unhex.__doc__
+def uniform(
+ min: Union[Column, int, float],
+ max: Union[Column, int, float],
+ seed: Optional[Union[Column, int]] = None,
+) -> Column:
+ if seed is None:
+ return _invoke_function_over_columns(
+ "uniform", min, max, lit(random.randint(0, sys.maxsize))
Review Comment:
Thanks, this is done.
##########
python/pyspark/sql/connect/functions/builtin.py:
##########
@@ -2578,6 +2594,16 @@ def regexp_like(str: "ColumnOrName", regexp:
"ColumnOrName") -> Column:
regexp_like.__doc__ = pysparkfuncs.regexp_like.__doc__
+def randstr(length: Union[Column, int], seed: Optional[Union[Column, int]] =
None) -> Column:
+ if seed is None:
+ return _invoke_function_over_columns("randstr", length,
lit(random.randint(0, sys.maxsize)))
+ else:
+ return _invoke_function_over_columns("randstr", length, seed)
Review Comment:
Thanks, this is done.
##########
python/pyspark/sql/connect/functions/builtin.py:
##########
@@ -1008,6 +1008,22 @@ def unhex(col: "ColumnOrName") -> Column:
unhex.__doc__ = pysparkfuncs.unhex.__doc__
+def uniform(
+ min: Union[Column, int, float],
+ max: Union[Column, int, float],
+ seed: Optional[Union[Column, int]] = None,
+) -> Column:
+ if seed is None:
+ return _invoke_function_over_columns(
+ "uniform", min, max, lit(random.randint(0, sys.maxsize))
+ )
+ else:
+ return _invoke_function_over_columns("uniform", min, max, seed)
Review Comment:
Thanks, this is done.
##########
python/pyspark/sql/functions/builtin.py:
##########
@@ -11861,6 +11861,47 @@ def regexp_like(str: "ColumnOrName", regexp:
"ColumnOrName") -> Column:
return _invoke_function_over_columns("regexp_like", str, regexp)
+@_try_remote_functions
+def randstr(length: Union[Column, int], seed: Optional[Union[Column, int]] =
None) -> Column:
+ """Returns a string of the specified length whose characters are chosen
uniformly at random from
+ the following pool of characters: 0-9, a-z, A-Z. The random seed is
optional. The string length
+ must be a constant two-byte or four-byte integer (SMALLINT or INT,
respectively).
+
+ .. versionadded:: 4.0.0
+
+ Parameters
+ ----------
+ length : :class:`~pyspark.sql.Column` or int
+ Number of characters in the string to generate.
+ seed : :class:`~pyspark.sql.Column` or int
+ Optional random number seed to use.
+
+ Returns
+ -------
+ :class:`~pyspark.sql.Column`
+ The generated random string with the specified length.
+
+ Examples
+ --------
+ >>> spark.createDataFrame([('3',)], ['a']) \\
+ ... .select(randstr(lit(5), lit(0)).alias('result')) \\
+ ... .selectExpr("length(result) > 0").show()
+ +--------------------+
+ |(length(result) > 0)|
+ +--------------------+
+ | true|
+ +--------------------+
+ """
+ length = _enum_to_value(length)
+ length = lit(length) if isinstance(length, int) else length
Review Comment:
Thanks, updated.
##########
python/pyspark/sql/connect/functions/builtin.py:
##########
@@ -2578,6 +2594,16 @@ def regexp_like(str: "ColumnOrName", regexp:
"ColumnOrName") -> Column:
regexp_like.__doc__ = pysparkfuncs.regexp_like.__doc__
+def randstr(length: Union[Column, int], seed: Optional[Union[Column, int]] =
None) -> Column:
+ if seed is None:
+ return _invoke_function_over_columns("randstr", length,
lit(random.randint(0, sys.maxsize)))
Review Comment:
Thanks, this is done.
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