You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sandeep Singh (Jira)" <ji...@apache.org> on 2023/01/02 17:43:00 UTC

[jira] [Created] (SPARK-41830) Fix DataFrame.sample parameters

Sandeep Singh created SPARK-41830:
-------------------------------------

             Summary: Fix DataFrame.sample parameters
                 Key: SPARK-41830
                 URL: https://issues.apache.org/jira/browse/SPARK-41830
             Project: Spark
          Issue Type: Sub-task
          Components: Connect
    Affects Versions: 3.4.0
            Reporter: Sandeep Singh


{code:java}
File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", line 422, in pyspark.sql.connect.dataframe.DataFrame.sort
Failed example:
    df.orderBy(["age", "name"], ascending=[False, False]).show()
Exception raised:
    Traceback (most recent call last):
      File "/usr/local/Cellar/python@3.10/3.10.8/Frameworks/Python.framework/Versions/3.10/lib/python3.10/doctest.py", line 1350, in __run
        exec(compile(example.source, filename, "single",
      File "<doctest pyspark.sql.connect.dataframe.DataFrame.sort[8]>", line 1, in <module>
        df.orderBy(["age", "name"], ascending=[False, False]).show()
    TypeError: DataFrame.sort() got an unexpected keyword argument 'ascending'
**********************************************************************
File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", line 379, in pyspark.sql.connect.dataframe.DataFrame.sortWithinPartitions
Failed example:
    df.sortWithinPartitions("age", ascending=False)
Exception raised:
    Traceback (most recent call last):
      File "/usr/local/Cellar/python@3.10/3.10.8/Frameworks/Python.framework/Versions/3.10/lib/python3.10/doctest.py", line 1350, in __run
        exec(compile(example.source, filename, "single",
      File "<doctest pyspark.sql.connect.dataframe.DataFrame.sortWithinPartitions[1]>", line 1, in <module>
        df.sortWithinPartitions("age", ascending=False)
    TypeError: DataFrame.sortWithinPartitions() got an unexpected keyword argument 'ascending'{code}



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org