alexeykudinkin commented on code in PR #7003:
URL: https://github.com/apache/hudi/pull/7003#discussion_r1029735768
##########
hudi-client/hudi-spark-client/src/main/scala/org/apache/spark/sql/HoodieInternalRowUtils.scala:
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@@ -72,8 +72,46 @@ object HoodieInternalRowUtils {
} else {
newRow.update(pos, oldValue)
}
- case _ =>
- newRow.update(pos, oldValue)
+ case t if t == oldType => newRow.update(pos, oldValue)
+ // Type promotion
+ case _: ShortType =>
+ oldType match {
+ case _: ByteType => newRow.update(pos,
oldValue.asInstanceOf[Byte].toShort)
+ case _ => throw new IllegalArgumentException(s"$oldSchema and
$newSchema are incompatible")
+ }
+ case _: IntegerType =>
+ oldType match {
+ case _: ByteType => newRow.update(pos,
oldValue.asInstanceOf[Byte].toInt)
+ case _: ShortType => newRow.update(pos,
oldValue.asInstanceOf[Short].toInt)
+ case _ => throw new IllegalArgumentException(s"$oldSchema and
$newSchema are incompatible")
+ }
+ case _: LongType =>
+ oldType match {
+ case _: ByteType => newRow.update(pos,
oldValue.asInstanceOf[Byte].toLong)
+ case _: ShortType => newRow.update(pos,
oldValue.asInstanceOf[Short].toLong)
+ case _: IntegerType => newRow.update(pos,
oldValue.asInstanceOf[Int].toLong)
+ case _ => throw new IllegalArgumentException(s"$oldSchema and
$newSchema are incompatible")
+ }
+ case _: FloatType =>
+ oldType match {
+ case _: ByteType => newRow.update(pos,
oldValue.asInstanceOf[Byte].toFloat)
+ case _: ShortType => newRow.update(pos,
oldValue.asInstanceOf[Short].toFloat)
+ case _: IntegerType => newRow.update(pos,
oldValue.asInstanceOf[Int].toFloat)
+ case _: LongType => newRow.update(pos,
oldValue.asInstanceOf[Long].toFloat)
+ case _ => throw new IllegalArgumentException(s"$oldSchema and
$newSchema are incompatible")
+ }
+ case _: DoubleType =>
+ oldType match {
+ case _: ByteType => newRow.update(pos,
oldValue.asInstanceOf[Byte].toDouble)
+ case _: ShortType => newRow.update(pos,
oldValue.asInstanceOf[Short].toDouble)
+ case _: IntegerType => newRow.update(pos,
oldValue.asInstanceOf[Int].toDouble)
+ case _: LongType => newRow.update(pos,
oldValue.asInstanceOf[Long].toDouble)
+ case _: FloatType => newRow.update(pos,
oldValue.asInstanceOf[Float].toDouble)
+ case _ => throw new IllegalArgumentException(s"$oldSchema and
$newSchema are incompatible")
+ }
+ case _: BinaryType if oldType.isInstanceOf[StringType] =>
newRow.update(pos, oldValue.asInstanceOf[String].getBytes)
Review Comment:
Interesting. Spark doesn't support it for ex, so i'd be more inclined to not
extend functionality Spark doesn't provide.
What do you think?
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