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 17:36:00 UTC

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

     [ 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 "<doctest pyspark.sql.connect.dataframe.DataFrame.isEmpty[0]>", line 1, in <module>
        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 "<doctest pyspark.sql.connect.dataframe.DataFrame.groupBy[4]>", line 1, in <module>
        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 "<doctest pyspark.sql.connect.dataframe.DataFrame.isEmpty[0]>", line 1, in <module>
>         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}



--
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