cloud-fan commented on a change in pull request #34984:
URL: https://github.com/apache/spark/pull/34984#discussion_r818432106
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcUtils.scala
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@@ -372,12 +385,14 @@ object OrcUtils extends Logging {
canPruneCols: Boolean,
dataSchema: StructType,
resultSchema: StructType,
Review comment:
I'm thinking about this again. It's a long-standing issue that the
schema evolution is completely defined by the ORC library, but it's non-trivial
to fix this and let Spark take control.
So my proposal is: when we generate `resultSchemaString` and set it to the
ORC reader, we should replace `TimestmapNTZType` with `LongType` in the
catalyst schema, as we know NTZ is stored as int64 in ORC file.
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