cloud-fan opened a new pull request #24325: [SPARK-27414][SQL] make it clear that date type is timezone independent URL: https://github.com/apache/spark/pull/24325 ## What changes were proposed in this pull request? In SQL standard, date type is a union of the `year`, `month` and `day` fields. It's timezone independent, which means it does not represent a specific point in the timeline. Spark SQL follows the SQL standard, this PR is to make it clear that date type is timezone independent 1. improve the doc to highlight that date is timezone independent. 2. when converting string to date, uses the java time API that can directly parse a `LocalDate` from a string, instead of converting `LocalDate` to a `Instant` at UTC first. 3. when converting date to string, uses the java time API that can directly format a `LocalDate` to a string, instead of converting `LocalDate` to a `Instant` at UTC first. 2) and 3) should not introduce any behavior changes. ## How was this patch tested? existing tests
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