Max Gekk created SPARK-51403:
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Summary: 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
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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