wangyum commented on a change in pull request #25214: [SPARK-28461][SQL] Pad
Decimal numbers with trailing zeros to the scale of the column
URL: https://github.com/apache/spark/pull/25214#discussion_r350811602
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File path: docs/sql-migration-guide.md
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@@ -226,6 +226,32 @@ license: |
- Since Spark 3.0, when casting string value to date, timestamp and interval
values, the leading and trailing white spaces(<= ACSII 32) will be trimmed
before casing, e.g. `cast('2019-10-10\t as date)` results the date value
`2019-10-10`. In Spark version 2.4 and earlier, only the trailing space will be
removed, thus, the result is `null`.
+ - Since Spark 3.0, we pad decimal numbers with trailing zeros to the scale
of the column for Hive result, for example:
Review comment:
How about?
Since Spark 3.0, we pad decimal numbers with trailing zeros to the scale of
the column for `spark-sql` interface.
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