rdblue commented on a change in pull request #28993:
URL: https://github.com/apache/spark/pull/28993#discussion_r450402692



##########
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)
+        }
+      case MonthsTransform(ref) =>
+        extractor(ref.fieldNames, schema, row) match {
+          case (days: Int, DateType) =>
+            ChronoUnit.MONTHS.between(EPOCH_LOCAL_DATE, 
DateTimeUtils.daysToLocalDate(days))
+          case (micros: Long, TimestampType) =>
+            val localDate = 
DateTimeUtils.microsToInstant(micros).atZone(UTC).toLocalDate
+            ChronoUnit.MONTHS.between(EPOCH_LOCAL_DATE, localDate)
+        }
+      case DaysTransform(ref) =>
+        extractor(ref.fieldNames, schema, row) match {
+          case (days, DateType) =>
+            days
+          case (micros: Long, TimestampType) =>
+            ChronoUnit.DAYS.between(Instant.EPOCH, 
DateTimeUtils.microsToInstant(micros))
+        }
+      case HoursTransform(ref) =>
+        extractor(ref.fieldNames, schema, row) match {
+          case (micros: Long, TimestampType) =>
+            ChronoUnit.HOURS.between(Instant.EPOCH, 
DateTimeUtils.microsToInstant(micros))
+        }
+      case BucketTransform(numBuckets, ref) =>
+        (extractor(ref.fieldNames, schema, row).hashCode() & 
Integer.MAX_VALUE) % numBuckets

Review comment:
       If we use the `Tuple2` instance, we know it won't be null and will 
always get a hash code.




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