comphead commented on PR #1456:
URL:
https://github.com/apache/datafusion-comet/pull/1456#issuecomment-2698592405
> In `CometExecRule` we check to see if we support the partitioning types
for the shuffle but do not check that we support the types of other columns.
>
> @comphead Do you want to update these checks as part of this PR and see if
it resolves the issue?
>
> ```scala
> case class CometExecRule(session: SparkSession) extends Rule[SparkPlan] {
> private def applyCometShuffle(plan: SparkPlan): SparkPlan = {
> plan.transformUp {
> case s: ShuffleExchangeExec
> if isCometPlan(s.child) && isCometNativeShuffleMode(conf) &&
> QueryPlanSerde.supportPartitioning(s.child.output,
s.outputPartitioning)._1 =>
> ...
>
>
> case s: ShuffleExchangeExec
> if (!s.child.supportsColumnar || isCometPlan(s.child)) &&
isCometJVMShuffleMode(
> conf) &&
> QueryPlanSerde.supportPartitioningTypes(s.child.output,
s.outputPartitioning)._1 &&
> !isShuffleOperator(s.child) =>
> ...
> ```
Thanks @andygrove I'll check that, you saving me hours of debugging
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