stevomitric commented on code in PR #56407:
URL: https://github.com/apache/spark/pull/56407#discussion_r3419423731
##########
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowConverter.scala:
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@@ -484,6 +484,37 @@ private[parquet] class ParquetRowConverter(
}
}
+ // The TIMESTAMP(NANOS) parquet type postdates Spark's switch to the
proleptic Gregorian
+ // calendar, so no legacy hybrid-calendar writer could have produced it.
Nanos values are
+ // always proleptic Gregorian and are exempt from datetime rebasing
+ // (`spark.sql.parquet.datetimeRebaseModeInRead` only covers DATE,
TIMESTAMP_MILLIS and
+ // TIMESTAMP_MICROS).
+ case _: TimestampLTZNanosType
+ if
parquetType.getLogicalTypeAnnotation.isInstanceOf[TimestampLogicalTypeAnnotation]
&&
+ parquetType.getLogicalTypeAnnotation
+ .asInstanceOf[TimestampLogicalTypeAnnotation].getUnit ==
TimeUnit.NANOS =>
+ new ParquetPrimitiveConverter(updater) {
+ override def addLong(value: Long): Unit = {
+ val epochMicros = Math.floorDiv(value,
DateTimeConstants.NANOS_PER_MICROS)
+ val nanosWithinMicro =
+ Math.floorMod(value, DateTimeConstants.NANOS_PER_MICROS).toShort
+ this.updater.set(TimestampNanosVal.fromParts(epochMicros,
nanosWithinMicro))
+ }
+ }
+
Review Comment:
Implemented - `makeNanosTimestampConverter` now truncates nanosWithinMicro
to `t.precision`.
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