[SUPPORT] Error of array out of bounds when writing data to hudi table

The bucket index hudi table will report an array out of bounds error when writing data using Spark if the string type primary key field value contains commas

Steps to reproduce the behavior:
```
DROP TABLE IF EXISTS `default`.`hudi_test_3_ro`;
DROP TABLE IF EXISTS `default`.`hudi_test_3_rt`;
DROP TABLE IF EXISTS `default`.`hudi_test_3`;
CREATE TABLE `default`.`hudi_test_3`(
id int,
sn string,
vnm string,
ts timestamp
)USING hudi
TBLPROPERTIES(
`type`='mor'
,`primaryKey` = 'id,sn'
, `preCombineField` = 'ts'
,`hoodie.table.keygenerator.class` = 'org.apache.hudi.keygen.ComplexKeyGenerator'
,`hoodie.index.type` = 'BUCKET'
,`hoodie.metadata.enable` = 'false'
,`hoodie.storage.layout.type` = 'BUCKET'
,`hoodie.storage.layout.partitioner.class` = 'org.apache.hudi.table.action.commit.SparkBucketIndexPartitioner'
,`hoodie.index.bucket.engine` = 'CONSISTENT_HASHING'
,`hoodie.bucket.index.num.buckets` = '1'
);

insert into `default`.`hudi_test_2`(id,sn,vnm,ts)
select 1 as id,'sn1,sn2' as sn, 'test hudi1' as vnm,now() as ts;
```

**Environment Description**

* Hudi version : 0.12.1

* Spark version : 3.1.3

* Hive version : 3.1.0

* Hadoop version : 3.1.1

* Storage (HDFS/S3/GCS..) : HDFS

* Running on Docker? (yes/no) : no

**Stacktrace**

```
org.apache.hudi.exception.HoodieUpsertException: Failed to upsert for commit time 20250620113320896
at org.apache.hudi.table.action.commit.BaseWriteHelper.write(BaseWriteHelper.java:64)
at org.apache.hudi.table.action.deltacommit.SparkUpsertDeltaCommitActionExecutor.execute(SparkUpsertDeltaCommitActionExecutor.java:46)
at org.apache.hudi.table.HoodieSparkMergeOnReadTable.upsert(HoodieSparkMergeOnReadTable.java:89)
at org.apache.hudi.table.HoodieSparkMergeOnReadTable.upsert(HoodieSparkMergeOnReadTable.java:76)
at org.apache.hudi.client.SparkRDDWriteClient.upsert(SparkRDDWriteClient.java:158)
at org.apache.hudi.DataSourceUtils.doWriteOperation(DataSourceUtils.java:206)
at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:331)
at org.apache.spark.sql.hudi.command.InsertIntoHoodieTableCommand$.run(InsertIntoHoodieTableCommand.scala:101)
at org.apache.spark.sql.hudi.command.InsertIntoHoodieTableCommand.run(InsertIntoHoodieTableCommand.scala:60)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
at org.apache.spark.sql.Dataset.$anonfun$logicalPlan$1(Dataset.scala:228)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3700)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3698)
at org.apache.spark.sql.Dataset.(Dataset.scala:228)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:618)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:613)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:650)
at sun.reflect.GeneratedMethodAccessor231.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.zeppelin.spark.SparkSqlInterpreter.internalInterpret(SparkSqlInterpreter.java:106)
at org.apache.zeppelin.interpreter.AbstractInterpreter.interpret(AbstractInterpreter.java:47)
at org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:110)
at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:852)
at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:744)
at org.apache.zeppelin.scheduler.Job.run(Job.java:172)
at org.apache.zeppelin.scheduler.AbstractScheduler.runJob(AbstractScheduler.java:132)
at org.apache.zeppelin.scheduler.ParallelScheduler.lambda$runJobInScheduler$0(ParallelScheduler.java:46)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 924.0 failed 4 times, most recent failure: Lost task 0.3 in stage 924.0 (TID 4814) (calc002 executor 1): java.lang.RuntimeException: java.lang.ArrayIndexOutOfBoundsException
at org.apache.hudi.client.utils.LazyIterableIterator.next(LazyIterableIterator.java:121)
at scala.collection.convert.Wrappers$JIteratorWrapper.next(Wrappers.scala:44)
at org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:222)
at org.apache.spark.storage.memory.MemoryStore.putIteratorAsBytes(MemoryStore.scala:349)
at org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1440)
at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1350)
at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1414)
at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1237)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:384)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:335)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:498)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:501)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ArrayIndexOutOfBoundsException

Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2303)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2252)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2251)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2251)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1124)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1124)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1124)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2490)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2432)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2421)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:902)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2196)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2217)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2236)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2261)
at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1030)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
at org.apache.spark.rdd.PairRDDFunctions.$anonfun$countByKey$1(PairRDDFunctions.scala:366)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.PairRDDFunctions.countByKey(PairRDDFunctions.scala:366)
at org.apache.spark.api.java.JavaPairRDD.countByKey(JavaPairRDD.scala:314)
at org.apache.hudi.data.HoodieJavaPairRDD.countByKey(HoodieJavaPairRDD.java:105)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.buildProfile(BaseSparkCommitActionExecutor.java:187)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.execute(BaseSparkCommitActionExecutor.java:156)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.execute(BaseSparkCommitActionExecutor.java:85)
at org.apache.hudi.table.action.commit.BaseWriteHelper.write(BaseWriteHelper.java:57)
... 41 more
Caused by: java.lang.RuntimeException: java.lang.ArrayIndexOutOfBoundsException
at org.apache.hudi.client.utils.LazyIterableIterator.next(LazyIterableIterator.java:121)
at scala.collection.convert.Wrappers$JIteratorWrapper.next(Wrappers.scala:44)
at org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:222)
at org.apache.spark.storage.memory.MemoryStore.putIteratorAsBytes(MemoryStore.scala:349)
at org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1440)
at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1350)
at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1414)
at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1237)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:384)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:335)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:498)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:501)
... 3 more
```

Reproduce the reported Spark write using a Hudi table with a composite key containing a comma and the BUCKET index settings shown. Start at BaseSparkCommitActionExecutor.buildProfile and LazyIterableIterator.next in the stack trace, then trace the configured SparkBucketIndexPartitioner path. Done means the insert completes without ArrayIndexOutOfBoundsException and a regression test covers the comma-containing key.

Written by the indexing model from the issue text.