yaooqinn commented on code in PR #45039:
URL: https://github.com/apache/spark/pull/45039#discussion_r1857648791
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sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala:
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@@ -1056,11 +1056,22 @@ private[hive] object HiveClientImpl extends Logging {
/** Get the Spark SQL native DataType from Hive's FieldSchema. */
private def getSparkSQLDataType(hc: FieldSchema): DataType = {
Review Comment:
> it causes troubles if a user creates a table using Spark 4.0, and tries
to read it with older Spark versions.
Is this similar to how we supported a new type in Spark 4.0 for older
versions of Spark to read? These tables won't affect users' existing data
pipelines, preventing any breaking changes.
I'm open to adding a new parameter here, anyway.
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