[jira] [Created] (SPARK-10439) Catalyst should check for overflow / underflow of date and timestamp values

["Marcelo Vanzin (JIRA)" <ji...@apache.org>]

Marcelo Vanzin created SPARK-10439:
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             Summary: Catalyst should check for overflow / underflow of date and timestamp values
                 Key: SPARK-10439
                 URL: https://issues.apache.org/jira/browse/SPARK-10439
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.5.0
            Reporter: Marcelo Vanzin
            Priority: Minor


While testing some code, I noticed that a few methods in {{DateTimeUtils}} are prone to overflow and underflow.

For example, {{millisToDays}} can overflow the return type ({{Int}}) if a large enough input value is provided.

Similarly, {{fromJavaTimestamp}} converts milliseconds to microseconds, which can overflow if the input is {{> Long.MAX_VALUE / 1000}} (or underflow in the negative case).

There might be others but these were the ones that caught my eye.



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