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https://issues.apache.org/jira/browse/SPARK-26054?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jaya Krishna updated SPARK-26054:
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    Attachment: sparksql-rounding.png

> Creating a computed column applying the spark sql rounding on a column of 
> type decimal affects the orginal column as well.
> --------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-26054
>                 URL: https://issues.apache.org/jira/browse/SPARK-26054
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.4.0
>            Reporter: Jaya Krishna
>            Priority: Minor
>         Attachments: sparksql-rounding.png
>
>
> When a computed column that rounds the value is added to a dataframe, it is 
> affecting the value of the original column as well. The behavior depends on 
> the database column type - If it is either float or double, the result is as 
> expected - the original column will have its own formatting and the computed 
> column will be rounded as per the rounding definition specified for it. 
> However if the column type in the database is decimal, then Spark SQL is 
> applying the rounding even to the original column.



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