Jaya Krishna created SPARK-26054:
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Summary: 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
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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