[jira] [Updated] (SPARK-41828) Implement creating empty Dataframe

2023-01-02 Thread Hyukjin Kwon (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-41828?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon updated SPARK-41828:
-
Epic Link: (was: SPARK-39375)

> Implement creating empty Dataframe
> --
>
> Key: SPARK-41828
> URL: https://issues.apache.org/jira/browse/SPARK-41828
> 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 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}



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[jira] [Updated] (SPARK-41828) Implement creating empty Dataframe

2023-01-02 Thread Hyukjin Kwon (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-41828?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon updated SPARK-41828:
-
Parent: SPARK-41281
Issue Type: Sub-task  (was: Bug)

> Implement creating empty Dataframe
> --
>
> Key: SPARK-41828
> URL: https://issues.apache.org/jira/browse/SPARK-41828
> 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 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}



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[jira] [Updated] (SPARK-41828) Implement creating empty Dataframe

2023-01-02 Thread Hyukjin Kwon (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-41828?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon updated SPARK-41828:
-
Parent: (was: SPARK-41279)
Issue Type: Bug  (was: Sub-task)

> Implement creating empty Dataframe
> --
>
> Key: SPARK-41828
> URL: https://issues.apache.org/jira/browse/SPARK-41828
> Project: Spark
>  Issue Type: Bug
>  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 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}



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[jira] [Updated] (SPARK-41828) Implement creating empty Dataframe

2023-01-02 Thread Hyukjin Kwon (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-41828?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon updated SPARK-41828:
-
Epic Link: SPARK-39375

> Implement creating empty Dataframe
> --
>
> Key: SPARK-41828
> URL: https://issues.apache.org/jira/browse/SPARK-41828
> Project: Spark
>  Issue Type: Bug
>  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 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}



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[jira] [Updated] (SPARK-41828) Implement creating empty Dataframe

2023-01-02 Thread Sandeep Singh (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-41828?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sandeep Singh updated SPARK-41828:
--
Description: 
{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}

  was:
{code:java}
File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
line 302, in pyspark.sql.connect.dataframe.DataFrame.groupBy
Failed example:
    df.groupBy(["name", df.age]).count().sort("name", "age").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.groupBy(["name", df.age]).count().sort("name", "age").show()
      File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
line 251, in groupBy
        raise TypeError(
    TypeError: groupBy requires all cols be Column or str, but got list 
['name', Column<'ColumnReference(age)'>]{code}


> Implement creating empty Dataframe
> --
>
> Key: SPARK-41828
> URL: https://issues.apache.org/jira/browse/SPARK-41828
> 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 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}



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