[
https://issues.apache.org/jira/browse/SPARK-41829?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sandeep Singh updated SPARK-41829:
--
Description:
{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 "", line 1,
in
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 "", line 1, in
df.sortWithinPartitions("age", ascending=False)
TypeError: DataFrame.sortWithinPartitions() got an unexpected keyword
argument 'ascending'{code}
was:
{code:java}
File
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py",
line 99, in pyspark.sql.connect.dataframe.DataFrame.isEmpty
Failed example:
df_empty = spark.createDataFrame([], 'a STRING')
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 "", line
1, in
df_empty = spark.createDataFrame([], 'a STRING')
File
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/session.py", line
186, in createDataFrame
raise ValueError("Input data cannot be empty")
ValueError: Input data cannot be empty{code}
> Implement Dataframe.sort,sortWithinPartitions Ordering
> --
>
> Key: SPARK-41829
> URL: https://issues.apache.org/jira/browse/SPARK-41829
> Project: Spark
> Issue Type: Sub-task
> Components: Connect
>Affects Versions: 3.4.0
>Reporter: Sandeep Singh
>Priority: Major
>
> {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 "", line
> 1, in
> 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 " pyspark.sql.connect.dataframe.DataFrame.sortWithinPartitions[1]>", line 1, in
>
> df.sortWithinPartitions("age", ascending=False)
> TypeError: DataFrame.sortWithinPartitions() got an unexpected keyword
> argument 'ascending'{code}
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