Cast timestamp to decimal is unsupported

[wForget]

Describe the bug

Found error by fuzz testing:

Schema:

Created table test0 with schema:
  ...
  c57: TimestampType

SQL:

SELECT c57, cast(c57 as DECIMAL(10,2)), try_cast(c57 as DECIMAL(10,2)) FROM test0 ORDER BY c57;

Error:

[ERROR] Query failed in native engine comet: Job aborted due to stage failure: Task 0 in stage 1905.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1905.0 (TID 1358) (fv-az1782-879.uuqsw4cdpnjuteheh0zgktntdd.cx.internal.cloudapp.net executor driver): org.apache.comet.CometNativeException: InternalError: Native cast invoked for unsupported cast from Timestamp(Microsecond, Some("Etc/UTC")) to Decimal128(10, 2).
	at org.apache.comet.Native.executePlan(Native Method)
	at org.apache.comet.CometExecIterator.$anonfun$getNextBatch$1(CometExecIterator.scala:126)
	at org.apache.comet.CometExecIterator.$anonfun$getNextBatch$1$adapted(CometExecIterator.scala:124)
	at org.apache.comet.vector.NativeUtil.getNextBatch(NativeUtil.scala:157)
	at org.apache.comet.CometExecIterator.getNextBatch(CometExecIterator.scala:124)
	at org.apache.comet.CometExecIterator.hasNext(CometExecIterator.scala:145)
	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
	at org.apache.spark.util.random.SamplingUtils$.reservoirSampleAndCount(SamplingUtils.scala:41)
	at org.apache.spark.RangePartitioner$.$anonfun$sketch$1(Partitioner.scala:322)
	at org.apache.spark.RangePartitioner$.$anonfun$sketch$1$adapted(Partitioner.scala:320)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2(RDD.scala:910)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2$adapted(RDD.scala:910)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:331)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)
	at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)
	at org.apache.spark.scheduler.Task.run(Task.scala:141)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
	at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
	at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:750)

Steps to reproduce

No response

Expected behavior

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Additional context

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