uros-b commented on code in PR #56407:
URL: https://github.com/apache/spark/pull/56407#discussion_r3409977764
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sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetUtils.scala:
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@@ -207,6 +207,8 @@ object ParquetUtils extends Logging {
schema.forall(f => isBatchReadSupported(sqlConf, f.dataType))
def isBatchReadSupported(sqlConf: SQLConf, dt: DataType): Boolean = dt match
{
+ case _: TimestampNTZNanosType | _: TimestampLTZNanosType =>
Review Comment:
Just leaving a performance note here: because isBatchReadSupported returns
false for these types and isBatchReadSupportedForSchema uses forall, a single
nanos column disables vectorized reads for the entire file/row group. That's
fine and the vectorized follow-up is acknowledged.
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