yaooqinn opened a new pull request #26662: [SPARK-30026][SQL] Whitespaces can be identified as delimiters in interval string URL: https://github.com/apache/spark/pull/26662 ### What changes were proposed in this pull request? We are now able to handle whitespaces for integral and fractional types, and the leading or trailing whitespaces for interval, date, and timestamps. But the current interval parser is not able to identify whitespaces as separates as PostgreSQL can do. This PR makes the whitespaces handling be consistent for nterval values. Typed interval literal, multi-unit representation, and casting from strings are all supported. ```sql postgres=# select interval E'1 \t day'; interval ---------- 1 day (1 row) postgres=# select interval E'1\t' day; interval ---------- 1 day (1 row) ``` ### Why are the changes needed? Whitespace handling should be consistent for interval value, and across different types in Spark. PostgreSQL feature parity. ### Does this PR introduce any user-facing change? Yes, the interval string of multi-units values which separated by whitespaces can be valid now. ### How was this patch tested? add ut.
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