ostronaut commented on PR #49144:
URL: https://github.com/apache/spark/pull/49144#issuecomment-2545249990
Okay, thank you for your point @cloud-fan! Just to double check if i've got
everything correctly before further implementation: instead of prohibiting map
expressions for partitioning, we can implemented a `Rule[LogicalPlan]` named
`InsertMapSortInPartitioningExpressions` (any other name can be recommended)
where we will replace MapType to MapSort. Having Map Sorted will then produce
the same hash codes for the same maps, as per `InterpretedHashFunction.hash`
logic (where order of elements matter for the final cash value):
```scala
case map: MapData =>
val (kt, vt) = dataType match {
case udt: UserDefinedType[_] =>
val mapType = udt.sqlType.asInstanceOf[MapType]
mapType.keyType -> mapType.valueType
case MapType(kt, vt, _) => kt -> vt
}
val keys = map.keyArray()
val values = map.valueArray()
var result = seed
var i = 0
while (i < map.numElements()) {
result = hash(keys.get(i, kt), kt, result)
result = hash(values.get(i, vt), vt, result)
i += 1
}
result
```
Please let me know if im missing something or if you have any other
recommendations!
--
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.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
