cloud-fan commented on PR #53221:
URL: https://github.com/apache/spark/pull/53221#issuecomment-3652606462
This will introduce potential breaking change in the future, as Spark may
add nano timestamp one day.
I'm fine with supporting reading parquet nano as as Spark long type, only if
the long type is user-specified, e.g. `spark.read.schema("ts:
long").parquet(...)`
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