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@FelixYBW It looks like the INT64 timestamp case, which hasn't been supported. Are we able to check the physical type of the timestamp column perhaps by using parquet-tools?
Yes, but can we fallback if a parquet has INT64 timestamp?
At present, we can only completely fallback timestamp of parquet, and cannot distinguish whether it is int64 or not. set spark.gluten.sql.parquet.timestampType.scan.fallback.enabled=true
Backend
VL (Velox)
Bug description
@rui-mo Do you know the reason? should I create a sample file?
Spark version
None
Spark configurations
No response
System information
No response
Relevant logs
No response
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