[Bug] Error in Executor setup After Permanent UDF Deletion

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://www.apache.org/foundation/policies/conduct)

### Search before asking

- [X] I have searched in the [issues](https://github.com/apache/kyuubi/issues?q=is%3Aissue) and found no similar issues.

### Describe the bug

Hello everyone,

I've encountered an issue with Kyuubi that I'm hoping the community can help with.

I created a permanent UDF in a Kyuubi instance, and later, due to requirement changes, I deleted this UDF through another driver. However, any SQL executed by the previously initiated driver now results in an error, indicating that the UDF cannot be found. Currently, the only solution I have is to restart the Kyuubi engine.

### Affects Version(s)

1.8.0

### Kyuubi Server Log Output

```logtalk
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 279.0 failed 4 times, most recent failure: Lost task 0.3 in stage 279.0 (TID 251) (core-xxxx.cn-shanghai.emr.aliyuncs.com executor 29): java.io.FileNotFoundException: [ErrorMessage]: File not found: .GalaxyResource/bigdata_emr_sh/xxx in bucket xxx
at com.aliyun.jindodata.api.spec.JdoNativeResult.get(JdoNativeResult.java:54)
at com.aliyun.jindodata.api.spec.protos.coder.JdolistDirectoryReplyDecoder.decode(JdolistDirectoryReplyDecoder.java:23)
at com.aliyun.jindodata.api.JindoCommonApis.listDirectory(JindoCommonApis.java:112)
at com.aliyun.jindodata.call.JindoListCall.execute(JindoListCall.java:65)
at com.aliyun.jindodata.common.JindoHadoopSystem.listStatus(JindoHadoopSystem.java:665)
at com.aliyun.jindodata.common.JindoHadoopSystem.listStatus(JindoHadoopSystem.java:60)
at org.apache.spark.util.Utils$.fetchHcfsFile(Utils.scala:851)
at org.apache.spark.util.Utils$.doFetchFile(Utils.scala:820)
at org.apache.spark.util.Utils$.fetchFile(Utils.scala:544)
at org.apache.spark.executor.Executor.$anonfun$updateDependencies$13(Executor.scala:1010)
at org.apache.spark.executor.Executor.$anonfun$updateDependencies$13$adapted(Executor.scala:1002)
at scala.collection.TraversableLike$WithFilter.$anonfun$foreach$1(TraversableLike.scala:985)
at scala.collection.mutable.HashMap.$anonfun$foreach$1(HashMap.scala:149)
at scala.collection.mutable.HashTable.foreachEntry(HashTable.scala:237)
at scala.collection.mutable.HashTable.foreachEntry$(HashTable.scala:230)
at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:44)
at scala.collection.mutable.HashMap.foreach(HashMap.scala:149)
at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:984)
at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$updateDependencies(Executor.scala:1002)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:506)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)

Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2673)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2609)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2608)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2608)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1182)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1182)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1182)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2861)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2803)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2792)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:952)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2241)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:269)
```

### Kyuubi Engine Log Output

```logtalk
spark executor log error:
24/11/18 16:06:18 INFO [Executor task launch worker for task 0.0 in stage 283.0 (TID 264)] Executor: Running task 0.0 in stage 283.0 (TID 264)
24/11/18 16:06:18 INFO [Executor task launch worker for task 0.0 in stage 283.0 (TID 264)] Executor: Fetching oss://xxx/xxxx/xxx with timestamp 1731900662592
24/11/18 16:06:18 INFO [Executor task launch worker for task 0.0 in stage 283.0 (TID 264)] HadoopLoginUserInfo: TOKEN: YARN_AM_RM_TOKEN
24/11/18 16:06:18 INFO [Executor task launch worker for task 0.0 in stage 283.0 (TID 264)] HadoopLoginUserInfo: User: xxxx, authMethod: SIMPLE, ugi: xxxx (auth:SIMPLE)
24/11/18 16:06:18 INFO [Executor task launch worker for task 0.0 in stage 283.0 (TID 264)] JindoHadoopSystem: Initialized native file system:
24/11/18 16:06:18 INFO [Executor task launch worker for task 0.0 in stage 283.0 (TID 264)] FsStats: cmd=getFileStatus, src=oss://xxxx/.xxxx/xxx/xxxx, dst=null, size=0, parameter=null, time-in-ms=77, version=6.2.0
24/11/18 16:06:18 INFO [Executor task launch worker for task 0.0 in stage 283.0 (TID 264)] FsStats: cmd=list, src=oss://xxxx/.xxxx/xxxx/xxxx, dst=null, size=0, parameter=null, time-in-ms=26, version=6.2.0
24/11/18 16:06:18 ERROR [Executor task launch worker for task 0.0 in stage 283.0 (TID 264)] Executor: Exception in task 0.0 in stage 283.0 (TID 264)
java.io.FileNotFoundException: [ErrorMessage]: File not found: .xxxx/xxxx/xxxx in bucket xxxx
at com.aliyun.jindodata.api.spec.JdoNativeResult.get(JdoNativeResult.java:54) ~[jindo-core-6.2.0.jar:?]
at com.aliyun.jindodata.api.spec.protos.coder.JdolistDirectoryReplyDecoder.decode(JdolistDirectoryReplyDecoder.java:23) ~[jindo-core-6.2.0.jar:?]
at com.aliyun.jindodata.api.JindoCommonApis.listDirectory(JindoCommonApis.java:112) ~[jindo-core-6.2.0.jar:?]
at com.aliyun.jindodata.call.JindoListCall.execute(JindoListCall.java:65) ~[jindo-sdk-6.2.0.jar:?]
at com.aliyun.jindodata.common.JindoHadoopSystem.listStatus(JindoHadoopSystem.java:665) ~[jindo-sdk-6.2.0.jar:?]
at com.aliyun.jindodata.common.JindoHadoopSystem.listStatus(JindoHadoopSystem.java:60) ~[jindo-sdk-6.2.0.jar:?]
at org.apache.spark.util.Utils$.fetchHcfsFile(Utils.scala:851) ~[spark-core_2.12-3.3.1-dw1.2.10.jar:3.3.1-dw1.2.10]
at org.apache.spark.util.Utils$.doFetchFile(Utils.scala:820) ~[spark-core_2.12-3.3.1-dw1.2.10.jar:3.3.1-dw1.2.10]
at org.apache.spark.util.Utils$.fetchFile(Utils.scala:544) ~[spark-core_2.12-3.3.1-dw1.2.10.jar:3.3.1-dw1.2.10]
at org.apache.spark.executor.Executor.$anonfun$updateDependencies$13(Executor.scala:1010) ~[spark-core_2.12-3.3.1-dw1.2.10.jar:3.3.1-dw1.2.10]
at org.apache.spark.executor.Executor.$anonfun$updateDependencies$13$adapted(Executor.scala:1002) ~[spark-core_2.12-3.3.1-dw1.2.10.jar:3.3.1-dw1.2.10]
at scala.collection.TraversableLike$WithFilter.$anonfun$foreach$1(TraversableLike.scala:985) ~[scala-library-2.12.15.jar:?]
at scala.collection.mutable.HashMap.$anonfun$foreach$1(HashMap.scala:149) ~[scala-library-2.12.15.jar:?]
at scala.collection.mutable.HashTable.foreachEntry(HashTable.scala:237) ~[scala-library-2.12.15.jar:?]
at scala.collection.mutable.HashTable.foreachEntry$(HashTable.scala:230) ~[scala-library-2.12.15.jar:?]
at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:44) ~[scala-library-2.12.15.jar:?]
at scala.collection.mutable.HashMap.foreach(HashMap.scala:149) ~[scala-library-2.12.15.jar:?]
at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:984) ~[scala-library-2.12.15.jar:?]
at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$updateDependencies(Executor.scala:1002) ~[spark-core_2.12-3.3.1-dw1.2.10.jar:3.3.1-dw1.2.10]
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:506) ~[spark-core_2.12-3.3.1-dw1.2.10.jar:3.3.1-dw1.2.10]
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) ~[?:1.8.0_392]
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) ~[?:1.8.0_392]
at java.lang.Thread.run(Thread.java:750) ~[?:1.8.0_392]
24/11/18 16:06:18 INFO [dispatcher-Executor] YarnCoarseGrainedExecutorBackend: Got assigned task 265
```

### Kyuubi Server Configurations

_No response_

### Kyuubi Engine Configurations

_No response_

### Additional context

_No response_

### Are you willing to submit PR?

- [ ] Yes. I would be willing to submit a PR with guidance from the Kyuubi community to fix.
- [X] No. I cannot submit a PR at this time.

Start by tracing Spark's Executor.updateDependencies through Utils.fetchHcfsFile using the supplied executor stack trace; no Kyuubi source files or tests are identified in the report. Done means SQL from an already-running driver still succeeds after its permanent UDF is deleted, without restarting the engine, with regression coverage if the behavior can be reproduced.

Written by the indexing model from the issue text.