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https://issues.apache.org/jira/browse/SPARK-51403?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18079601#comment-18079601
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Anupam Yadav commented on SPARK-51403:
--------------------------------------
Hi [~pasar6987] , noticed this was greenlit for you back in July; wanted to
check whether you're still planning to work on
it?
[~maxgekk] if SeongJaeGong is no longer active here, I'd be happy to pick this
up. Given the TimeType SPIP is now
resolved and this was moved under the 4.2.0 umbrella, do you want me to wait
for a specific window, or is it ready to go?
> Test TimeType as ordered and atomic type
> ----------------------------------------
>
> Key: SPARK-51403
> URL: https://issues.apache.org/jira/browse/SPARK-51403
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 4.1.0
> Reporter: Max Gekk
> Priority: Minor
> Labels: starter
>
> Add `TimeType` to `DataTypeTestUtils.ordered`/`atomicTypes`, and implement
> values generation of those types in `LiteralGenerator`/`RandomDataGenerator`.
> In this way, the types will be tested automatically in:
> 1. ArithmeticExpressionSuite:
> - "function least"
> - "function greatest"
> 2. PredicateSuite
> - "BinaryComparison consistency check"
> - "AND, OR, EqualTo, EqualNullSafe consistency check"
> 3. ConditionalExpressionSuite
> - "if"
> 4. RandomDataGeneratorSuite
> - "Basic types"
> 5. CastSuite
> - "null cast"
> - "up-cast"
> - "SPARK-27671: cast from nested null type in struct"
> 6. OrderingSuite
> - "GenerateOrdering with TimeType"
> 7. PredicateSuite
> - "IN with different types"
> 8. UnsafeRowSuite
> - "calling get(ordinal, datatype) on null columns"
> 9. SortSuite
> - "sorting on TimeType ..."
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