[SUPPORT] Schema differs from one partition and other

Hi all,

Im currentley facing some troubles trying to write on a partitioned table due to differences between schemas evolutions. In example, I have a Dataframe partitioned by column source with this schema:
```
root
|-- key: string (nullable = false)
|-- source: string (nullable = false)
|-- field_1: string (nullable = false)
|-- field_2: string (nullable = false)
|-- field_3: string (nullable = false)
```
But, on the other side, partition with source=2 has nullable fields with this schema:
```
|-- key: string (nullable = false)
|-- source: string (nullable = false)
|-- field_1: string (nullable = true)
|-- field_2: string (nullable = true)
|-- field_3: string (nullable = true)
```
The problem I am getting is NullPointerExepcion due to these differences between partition's schemas when I try to delete rows with old-schema but the newest-schema is loading trying to append with this HUDI's options:
```
hudi_options = {
'hoodie.table.name': 'table_name',
'hoodie.datasource.write.recordkey.field': 'key',
'hoodie.datasource.write.keygenerator.class': 'org.apache.hudi.keygen.ComplexKeyGenerator',
'hoodie.datasource.write.partitionpath.field': 'source',
'hoodie.datasource.write.operation': 'delete',
'hoodie.datasource.write.hive_style_partitioning': 'true',
'hoodie.datasource.hive_sync.enable': 'true',
'hoodie.datasource.hive_sync.database': 'database_name',
'hoodie.datasource.hive_sync.table': 'table_name',
'hoodie.datasource.hive_sync.partition_extractor_class': 'org.apache.hudi.hive.MultiPartKeysValueExtractor',
'hoodie.datasource.hive_sync.use_jdbc': 'false',
'hoodie.datasource.hive_sync.mode': 'hms'
}

dataframe.write.format("hudi").options(**hudi_options).mode("append").save("s3://path")
```
But this exception is throwing
```
Py4JJavaError: An error occurred while calling o359.save.
: org.apache.hudi.exception.HoodieUpsertException: Failed to delete for commit time 20230313203904600
at org.apache.hudi.table.action.commit.SparkDeleteHelper.execute(SparkDeleteHelper.java:120)
at org.apache.hudi.table.action.commit.SparkDeleteCommitActionExecutor.execute(SparkDeleteCommitActionExecutor.java:46)
at org.apache.hudi.table.HoodieSparkCopyOnWriteTable.delete(HoodieSparkCopyOnWriteTable.java:136)
at org.apache.hudi.table.HoodieSparkCopyOnWriteTable.delete(HoodieSparkCopyOnWriteTable.java:103)
at org.apache.hudi.client.SparkRDDWriteClient.delete(SparkRDDWriteClient.java:256)
at org.apache.hudi.DataSourceUtils.doDeleteOperation(DataSourceUtils.java:229)
at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:194)
at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:164)
at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:46)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:90)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:185)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:223)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:220)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:181)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:134)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:133)
at org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:989)
at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107)
at org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:232)
at org.apache.spark.sql.execution.SQLExecution$.executeQuery$1(SQLExecution.scala:110)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:135)
at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107)
at org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:232)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:135)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:253)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:134)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:68)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:989)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:438)
at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:415)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:293)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
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.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:750)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 15 in stage 69.0 failed 4 times, most recent failure: Lost task 15.3 in stage 69.0 (TID 383) (172.34.226.66 executor 2): java.lang.NullPointerException
at org.apache.spark.sql.catalyst.expressions.codegen.UnsafeWriter.write(UnsafeWriter.java:110)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:755)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:454)
at org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.hasNext(SerDeUtil.scala:85)
at scala.collection.Iterator.foreach(Iterator.scala:937)
at scala.collection.Iterator.foreach$(Iterator.scala:937)
at org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.foreach(SerDeUtil.scala:80)
at org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:307)
at org.apache.spark.api.python.PythonRunner$$anon$2.writeIteratorToStream(PythonRunner.scala:621)
at org.apache.spark.api.python.BasePythonRunner$WriterThread.$anonfun$run$1(PythonRunner.scala:397)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1996)
at org.apache.spark.api.python.BasePythonRunner$WriterThread.run(PythonRunner.scala:232)

Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2465)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2414)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2413)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:58)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:51)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2413)
at org.apache.spark.scheduler.DAGScheduler.$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:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1124)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2679)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2621)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2610)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:914)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2238)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2259)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2278)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2303)
at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1030)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
at org.apache.spark.rdd.PairRDDFunctions.$anonfun$countByKey$1(PairRDDFunctions.scala:366)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.PairRDDFunctions.countByKey(PairRDDFunctions.scala:366)
at org.apache.spark.api.java.JavaPairRDD.countByKey(JavaPairRDD.scala:314)
at org.apache.hudi.data.HoodieJavaPairRDD.countByKey(HoodieJavaPairRDD.java:103)
at org.apache.hudi.index.bloom.HoodieBloomIndex.lookupIndex(HoodieBloomIndex.java:115)
at org.apache.hudi.index.bloom.HoodieBloomIndex.tagLocation(HoodieBloomIndex.java:85)
at org.apache.hudi.table.action.commit.SparkDeleteHelper.execute(SparkDeleteHelper.java:100)
... 45 more
Caused by: java.lang.NullPointerException
at org.apache.spark.sql.catalyst.expressions.codegen.UnsafeWriter.write(UnsafeWriter.java:110)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:755)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:454)
at org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.hasNext(SerDeUtil.scala:85)
at scala.collection.Iterator.foreach(Iterator.scala:937)
at scala.collection.Iterator.foreach$(Iterator.scala:937)
at org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.foreach(SerDeUtil.scala:80)
at org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:307)
at org.apache.spark.api.python.PythonRunner$$anon$2.writeIteratorToStream(PythonRunner.scala:621)
at org.apache.spark.api.python.BasePythonRunner$WriterThread.$anonfun$run$1(PythonRunner.scala:397)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1996)
at org.apache.spark.api.python.BasePythonRunner$WriterThread.run(PythonRunner.scala:232)
```

I am using HUDI-0.11 with Spark 3.1

Start with the reported Hudi 0.11 and Spark 3.1 setup and reproduce the delete against partitions with differing field nullability. Trace the failure through SparkDeleteHelper.execute and HoodieBloomIndex.lookupIndex, then determine whether the behavior is reproducible and what regression coverage or documented limitation is appropriate.

Written by the indexing model from the issue text.