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https://issues.apache.org/jira/browse/SPARK-61071?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-61071:
-----------------------------------
    Labels: pull-request-available  (was: )

> Type pandas columns of Decimals and other values as PySpark does in 
> createDataFrame of the Rust client
> ------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-61071
>                 URL: https://issues.apache.org/jira/browse/SPARK-61071
>             Project: Spark
>          Issue Type: Bug
>          Components: Connect
>    Affects Versions: 5.0.0
>            Reporter: Hyukjin Kwon
>            Priority: Major
>              Labels: pull-request-available
>
> createDataFrame of a pandas object column that mixes Decimal values with 
> other values, such as pd.DataFrame({"d": [Decimal("1.5"), 2]}), raises 
> AttributeError: 'int' object has no attribute 'as_tuple' in the Rust client. 
> PySpark 4.3.0 leaves such a column to Arrow, which types it decimal(2,1) and 
> takes the int as 2.0, and raises PySparkTypeError or PySparkValueError for 
> floats, strings, bools and values that do not fit.



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