[Bug] Can not use delta lake optimized write

### 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/incubator-uniffle/issues?q=is%3Aissue) and found no similar issues.

### Describe the bug

When trying to use optimized write from delta lake with uniffle, FetchFailedException occurs.

### Affects Version(s)

master/0.11.0

### Uniffle Server Log Output

```logtalk
Nothing specific shows up in the server log.
```

### Uniffle Engine Log Output

```logtalk
org.apache.spark.SparkException: Job aborted due to stage failure: ResultStage 5 (save at NativeMethodAccessorImpl.java:0) has failed the maximum allowable number of times: 4. Most recent failure reason:
org.apache.spark.shuffle.FetchFailedException
at org.apache.spark.errors.SparkCoreErrors$.fetchFailedError(SparkCoreErrors.scala:437)
at org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:1239)
at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:971)
at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:86)
at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at org.apache.spark.sql.execution.datasources.FileFormatDataWriter.writeWithIterator(FileFormatDataWriter.scala:91)
at org.apache.spark.sql.delta.files.DeltaFileFormatWriter$.$anonfun$executeTask$1(DeltaFileFormatWriter.scala:450)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1397)
at org.apache.spark.sql.delta.files.DeltaFileFormatWriter$.executeTask(DeltaFileFormatWriter.scala:457)
at org.apache.spark.sql.delta.files.DeltaFileFormatWriter$.$anonfun$executeWrite$3(DeltaFileFormatWriter.scala:279)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)
at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)
at org.apache.spark.scheduler.Task.run(Task.scala:141)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
at java.base/java.lang.Thread.run(Thread.java:840)
Caused by: java.lang.IllegalArgumentException: port out of range:99999
at java.base/java.net.InetSocketAddress.checkPort(InetSocketAddress.java:152)
at java.base/java.net.InetSocketAddress.createUnresolved(InetSocketAddress.java:263)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:155)
at org.apache.spark.network.netty.NettyBlockTransferService$$anon$2.createAndStart(NettyBlockTransferService.scala:131)
at org.apache.spark.network.shuffle.RetryingBlockTransferor.transferAllOutstanding(RetryingBlockTransferor.java:173)
at org.apache.spark.network.shuffle.RetryingBlockTransferor.start(RetryingBlockTransferor.java:152)
at org.apache.spark.network.netty.NettyBlockTransferService.fetchBlocks(NettyBlockTransferService.scala:151)
at org.apache.spark.storage.ShuffleBlockFetcherIterator.sendRequest(ShuffleBlockFetcherIterator.scala:374)
at org.apache.spark.storage.ShuffleBlockFetcherIterator.send$1(ShuffleBlockFetcherIterator.scala:1209)
at org.apache.spark.storage.ShuffleBlockFetcherIterator.fetchUpToMaxBytes(ShuffleBlockFetcherIterator.scala:1201)
at org.apache.spark.storage.ShuffleBlockFetcherIterator.initialize(ShuffleBlockFetcherIterator.scala:715)
at org.apache.spark.storage.ShuffleBlockFetcherIterator.(ShuffleBlockFetcherIterator.scala:194)
at org.apache.spark.sql.delta.perf.OptimizedWriterShuffleReader.read(DeltaOptimizedWriterExec.scala:291)
at org.apache.spark.sql.delta.perf.DeltaOptimizedWriterRDD.compute(DeltaOptimizedWriterExec.scala:268)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:331)
... 11 more

at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2856)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2792)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2791)
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:2791)
at org.apache.spark.scheduler.DAGScheduler.handleTaskCompletion(DAGScheduler.scala:2031)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:3054)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2994)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2983)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:989)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2393)
at org.apache.spark.sql.delta.files.DeltaFileFormatWriter$.$anonfun$executeWrite$1(DeltaFileFormatWriter.scala:267)
at org.apache.spark.sql.delta.files.DeltaFileFormatWriter$.writeAndCommit(DeltaFileFormatWriter.scala:300)
at org.apache.spark.sql.delta.files.DeltaFileFormatWriter$.executeWrite(DeltaFileFormatWriter.scala:236)
at org.apache.spark.sql.delta.files.DeltaFileFormatWriter$.write(DeltaFileFormatWriter.scala:216)
at org.apache.spark.sql.delta.files.TransactionalWrite.$anonfun$writeFiles$2(TransactionalWrite.scala:456)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:108)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66)
at org.apache.spark.sql.delta.files.TransactionalWrite.writeFiles(TransactionalWrite.scala:414)
at org.apache.spark.sql.delta.files.TransactionalWrite.writeFiles$(TransactionalWrite.scala:372)
at org.apache.spark.sql.delta.OptimisticTransaction.writeFiles(OptimisticTransaction.scala:165)
at org.apache.spark.sql.delta.files.TransactionalWrite.writeFiles(TransactionalWrite.scala:247)
at org.apache.spark.sql.delta.files.TransactionalWrite.writeFiles$(TransactionalWrite.scala:243)
at org.apache.spark.sql.delta.OptimisticTransaction.writeFiles(OptimisticTransaction.scala:165)
at org.apache.spark.sql.delta.files.TransactionalWrite.writeFiles(TransactionalWrite.scala:236)
at org.apache.spark.sql.delta.files.TransactionalWrite.writeFiles$(TransactionalWrite.scala:233)
at org.apache.spark.sql.delta.OptimisticTransaction.writeFiles(OptimisticTransaction.scala:165)
at org.apache.spark.sql.delta.commands.WriteIntoDelta.writeFiles(WriteIntoDelta.scala:377)
at org.apache.spark.sql.delta.commands.WriteIntoDelta.writeAndReturnCommitData(WriteIntoDelta.scala:340)
at org.apache.spark.sql.delta.commands.WriteIntoDelta.$anonfun$run$1(WriteIntoDelta.scala:108)
at org.apache.spark.sql.delta.DeltaLog.withNewTransaction(DeltaLog.scala:241)
at org.apache.spark.sql.delta.commands.WriteIntoDelta.run(WriteIntoDelta.scala:103)
at org.apache.spark.sql.delta.sources.DeltaDataSource.createRelation(DeltaDataSource.scala:204)
at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:48)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:107)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:108)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:107)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:461)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:461)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:32)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:437)
at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:98)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:85)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:83)
at org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:142)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:869)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:391)
at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:358)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:243)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:569)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.base/java.lang.Thread.run(Thread.java:840)
```

### Uniffle Server Configurations

```yaml
It is from the docker-compose in the repo.
```

### Uniffle Engine Configurations

```yaml
The spark job is started with following command:

docker exec -it rss-spark-master-1 /opt/spark/bin/pyspark \
--master spark://rss-spark-master-1:7077 \
--conf spark.serializer=org.apache.spark.serializer.KryoSerializer \
--conf spark.shuffle.manager=org.apache.spark.shuffle.RssShuffleManager \
--conf spark.rss.coordinator.quorum=rss-coordinator-1:19999,rss-coordinator-2:19999 \
--conf spark.rss.storage.type=MEMORY_LOCALFILE \
--conf spark.speculation=true \
--packages io.delta:delta-spark_2.12:3.3.0 \
--conf "spark.sql.extensions=io.delta.sql.DeltaSparkSessionExtension" \
--conf "spark.sql.catalog.spark_catalog=org.apache.spark.sql.delta.catalog.DeltaCatalog" \
--conf spark.jars.ivy=/tmp/
```

### Additional context

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

Start by reproducing the failure with Delta Lake optimized writes and inspect the OptimizedWriterShuffleReader/DeltaOptimizedWriterExec path shown in the stack trace, along with Uniffle's Spark shuffle integration. Trace how the invalid port 99999 reaches Spark's NettyBlockTransferService; done means optimized writes complete without FetchFailedException or an invalid shuffle endpoint.

Written by the indexing model from the issue text.