gengliangwang opened a new pull request #32814:
URL: https://github.com/apache/spark/pull/32814
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### What changes were proposed in this pull request?
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In the PR, I propose to extend Spark SQL API to accept
java.time.LocalDateTime as an external type of recently added new Catalyst type
- TimestampWithoutTZ. The Java class java.time.LocalDateTime has similar
semantic to ANSI SQL timestamp without timezone type, and it is the most
suitable to be an external type for TimestampWithoutTZType. In more details:
* Added TimestampWithoutTZConverter which converts java.time.LocalDateTime
instances to/from internal representation of the Catalyst type
TimestampWithoutTZType (to Long type). The TimestampWithoutTZConverter object
uses new methods of DateTimeUtils:
* localDateTimeToMicros() converts the input date time to the total length
in microseconds.
* microsToLocalDateTime() obtains a java.time.LocalDateTime
* Support new type TimestampWithoutTZType in RowEncoder via the methods
createDeserializerForLocalDateTime() and createSerializerForLocalDateTime().
* Extended the Literal API to construct literals from
java.time.LocalDateTime instances.
### Why are the changes needed?
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To allow users parallelization of java.time.LocalDateTime collections, and
construct timestamp without time zone columns. Also to collect such columns
back to the driver side.
### Does this PR introduce _any_ user-facing change?
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The PR extends existing functionality. So, users can parallelize instances
of the java.time.LocalDateTime class and collect them back.
### How was this patch tested?
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New unit tests
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