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### What changes were proposed in this pull request? In the PR, I propose to ban `YearMonthIntervalType` and `DayTimeIntervalType` at the analysis phase while creating a table using a built-in filed-based datasource or writing a dataset to such datasource. In particular, add the following case: ```scala case _: DayTimeIntervalType | _: YearMonthIntervalType => false ``` to all methods that override either: - V2 `FileTable.supportsDataType()` - V1 `FileFormat.supportDataType()` ### Why are the changes needed? To improve user experience with Spark SQL, and output a proper error message at the analysis phase. ### Does this PR introduce _any_ user-facing change? Yes but ANSI interval types haven't released yet. So, for users this is new behavior. ### How was this patch tested? By running the affected test suites: ``` $ build/sbt -Phive-2.3 "test:testOnly *HiveOrcSourceSuite" ``` Closes #33580 from MaxGekk/interval-ban-in-ds. Authored-by: Max Gekk <max.gekk@gmail.com> Signed-off-by: Max Gekk <max.gekk@gmail.com> |
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