cloud-fan commented on a change in pull request #28993:
URL: https://github.com/apache/spark/pull/28993#discussion_r451280565
##########
File path:
sql/catalyst/src/test/scala/org/apache/spark/sql/connector/InMemoryTable.scala
##########
@@ -78,10 +92,44 @@ class InMemoryTable(
throw new IllegalArgumentException(s"Unsupported type,
${dataType.simpleString}")
}
} else {
- value
+ (value, schema(index).dataType)
}
}
- partCols.map(fieldNames => extractor(fieldNames, schema, row))
+
+ partitioning.map {
+ case IdentityTransform(ref) =>
+ extractor(ref.fieldNames, schema, row)._1
+ case YearsTransform(ref) =>
+ extractor(ref.fieldNames, schema, row) match {
+ case (days: Int, DateType) =>
+ ChronoUnit.YEARS.between(EPOCH_LOCAL_DATE,
DateTimeUtils.daysToLocalDate(days))
+ case (micros: Long, TimestampType) =>
+ val localDate =
DateTimeUtils.microsToInstant(micros).atZone(UTC).toLocalDate
+ ChronoUnit.YEARS.between(EPOCH_LOCAL_DATE, localDate)
Review comment:
It's a testing implementation. There is no default behavior.
Partitioning expression just indicates how the scan can be faster with specific
pushed filters.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
