[jira] [Created] (SPARK-41871) DataFrame hint parameter can be str, list, float or int

["Sandeep Singh (Jira)" <ji...@apache.org>]

Sandeep Singh created SPARK-41871:
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             Summary: DataFrame hint parameter can be str, list, float or int
                 Key: SPARK-41871
                 URL: https://issues.apache.org/jira/browse/SPARK-41871
             Project: Spark
          Issue Type: Sub-task
          Components: Connect
    Affects Versions: 3.4.0
            Reporter: Sandeep Singh


{code:java}
df = self.spark.createDataFrame([("Alice", 50), ("Alice", 60)], ["name", "age"])

# shouldn't drop a non-null row
self.assertEqual(df.dropDuplicates().count(), 2)

self.assertEqual(df.dropDuplicates(["name"]).count(), 1)

self.assertEqual(df.dropDuplicates(["name", "age"]).count(), 2)

type_error_msg = "Parameter 'subset' must be a list of columns"
with self.assertRaisesRegex(TypeError, type_error_msg):
    df.dropDuplicates("name"){code}
{code:java}
Traceback (most recent call last):
  File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/tests/test_dataframe.py", line 128, in test_drop_duplicates
    with self.assertRaisesRegex(TypeError, type_error_msg):
AssertionError: TypeError not raised{code}



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