[SUPPORT] java.lang.NoSuchMethodError: org.apache.spark.sql.execution.datasources.FileStatusCache.putLeafFiles spark 3.5, scala 2.12 hudi 1.0

Running databricks cloud on AWS with LTS 15.4 (spark 3.5, scala 2.12) with single node compute. Using config

```
spark.serializer org.apache.spark.serializer.KryoSerializer
spark.sql.catalog.spark_catalog org.apache.spark.sql.hudi.catalog.HoodieCatalog
spark.sql.extensions org.apache.spark.sql.hudi.HoodieSparkSessionExtension
spark.kryo.registrator org.apache.spark.HoodieSparkKryoRegistrar
```

library org.apache.hudi:hudi-spark3.5-bundle_2.12:1.0.0

running notebook from https://www.onehouse.ai/blog/how-to-use-apache-hudi-with-databricks

```
tripsDF = spark.read.format("org.apache.hudi").option("hoodie.file.index.enable", "false").load(basePath)
tripsDF.show()
```

error

```
: java.lang.NoSuchMethodError: org.apache.spark.sql.execution.datasources.FileStatusCache.putLeafFiles(Lorg/apache/hadoop/fs/Path;[Lorg/apache/hadoop/fs/FileStatus;)V
at org.apache.hudi.SparkHoodieTableFileIndex$$anon$1.put(SparkHoodieTableFileIndex.scala:516)
at org.apache.hudi.BaseHoodieTableFileIndex.lambda$listPartitionPathFiles$13(BaseHoodieTableFileIndex.java:410)
at java.util.HashMap.forEach(HashMap.java:1290)
at org.apache.hudi.BaseHoodieTableFileIndex.listPartitionPathFiles(BaseHoodieTableFileIndex.java:408)
at org.apache.hudi.BaseHoodieTableFileIndex.loadFileSlicesForPartitions(BaseHoodieTableFileIndex.java:266)
at org.apache.hudi.BaseHoodieTableFileIndex.ensurePreloadedPartitions(BaseHoodieTableFileIndex.java:254)
at org.apache.hudi.BaseHoodieTableFileIndex.getInputFileSlices(BaseHoodieTableFileIndex.java:240)
at org.apache.hudi.HoodieFileIndex.prunePartitionsAndGetFileSlices(HoodieFileIndex.scala:344)
at org.apache.hudi.HoodieFileIndex.filterFileSlices(HoodieFileIndex.scala:230)
at org.apache.hudi.HoodieFileIndex.listFiles(HoodieFileIndex.scala:167)
at org.apache.spark.sql.execution.datasources.FileIndex.listPartitionDirectoriesAndFiles(FileIndex.scala:207)
at org.apache.spark.sql.execution.SparkOrAetherFileSourceScanLike.listFiles(DataSourceScanExec.scala:817)
at org.apache.spark.sql.execution.SparkOrAetherFileSourceScanLike.$anonfun$_selectedPartitions$2(DataSourceScanExec.scala:891)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.execution.SparkOrAetherFileSourceScanLike._selectedPartitions(DataSourceScanExec.scala:883)
at org.apache.spark.sql.execution.SparkOrAetherFileSourceScanLike._selectedPartitions$(DataSourceScanExec.scala:882)
at org.apache.spark.sql.execution.FileSourceScanExec._selectedPartitions$lzycompute(DataSourceScanExec.scala:2752)
at org.apache.spark.sql.execution.FileSourceScanExec._selectedPartitions(DataSourceScanExec.scala:2752)
at org.apache.spark.sql.execution.SparkOrAetherFileSourceScanLike.selectedPartitions(DataSourceScanExec.scala:909)
at org.apache.spark.sql.execution.SparkOrAetherFileSourceScanLike.selectedPartitions$(DataSourceScanExec.scala:908)
at org.apache.spark.sql.execution.FileSourceScanExec.selectedPartitions(DataSourceScanExec.scala:2752)
at org.apache.spark.sql.execution.SparkOrAetherFileSourceScanLike.$anonfun$dynamicallySelectedPartitions$3(DataSourceScanExec.scala:989)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.execution.SparkOrAetherFileSourceScanLike.$anonfun$dynamicallySelectedPartitions$1(DataSourceScanExec.scala:920)
at com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:94)
at org.apache.spark.sql.execution.SparkOrAetherFileSourceScanLike.dynamicallySelectedPartitions(DataSourceScanExec.scala:920)
at org.apache.spark.sql.execution.SparkOrAetherFileSourceScanLike.dynamicallySelectedPartitions$(DataSourceScanExec.scala:918)
at org.apache.spark.sql.execution.FileSourceScanExec.dynamicallySelectedPartitions$lzycompute(DataSourceScanExec.scala:2752)
at org.apache.spark.sql.execution.FileSourceScanExec.dynamicallySelectedPartitions(DataSourceScanExec.scala:2752)
at org.apache.spark.sql.execution.SparkOrAetherFileSourceScanLike.finalSelectedPartitions(DataSourceScanExec.scala:1026)
at org.apache.spark.sql.execution.SparkOrAetherFileSourceScanLike.finalSelectedPartitions$(DataSourceScanExec.scala:1026)
at org.apache.spark.sql.execution.FileSourceScanExec.finalSelectedPartitions(DataSourceScanExec.scala:2752)
at org.apache.spark.sql.execution.SparkOrAetherFileSourceScanLike.totalFinalSelectedPartitionFileSize(DataSourceScanExec.scala:1015)
at org.apache.spark.sql.execution.SparkOrAetherFileSourceScanLike.totalFinalSelectedPartitionFileSize$(DataSourceScanExec.scala:1015)
at org.apache.spark.sql.execution.FileSourceScanExec.totalFinalSelectedPartitionFileSize$lzycompute(DataSourceScanExec.scala:2752)
at org.apache.spark.sql.execution.FileSourceScanExec.totalFinalSelectedPartitionFileSize(DataSourceScanExec.scala:2752)
at com.databricks.sql.transaction.tahoe.metering.DeltaMetering$.$anonfun$reportUsage$3(DeltaMetering.scala:599)
at com.databricks.sql.transaction.tahoe.metering.DeltaMetering$.$anonfun$reportUsage$3$adapted(DeltaMetering.scala:238)
at scala.collection.TraversableLike$WithFilter.$anonfun$foreach$1(TraversableLike.scala:985)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:984)
at com.databricks.sql.transaction.tahoe.metering.DeltaMetering$.reportUsage(DeltaMetering.scala:238)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId0$10(SQLExecution.scala:675)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:813)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId0$1(SQLExecution.scala:334)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:1210)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId0(SQLExecution.scala:205)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:750)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:4805)
at org.apache.spark.sql.Dataset.head(Dataset.scala:3544)
at org.apache.spark.sql.Dataset.take(Dataset.scala:3775)
at org.apache.spark.sql.Dataset.getRows(Dataset.scala:397)
at org.apache.spark.sql.Dataset.showString(Dataset.scala:433)
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:397)
at py4j.Gateway.invoke(Gateway.java:306)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:199)
at py4j.ClientServerConnection.run(ClientServerConnection.java:119)
at java.lang.Thread.run(Thread.java:750)
File , line 2
1 tripsDF = spark.read.format("org.apache.hudi").option("hoodie.file.index.enable", "false").load(basePath)
----> 2 tripsDF.show()
```

https://github.com/sagarlakshmipathy/hudi-on-databricks/issues/2

Start by reproducing the Databricks Spark 3.5/Scala 2.12 setup with hudi-spark3.5-bundle_2.12:1.0.0 and the notebook read/show example. Trace the failure through SparkHoodieTableFileIndex.scala and BaseHoodieTableFileIndex.java, then verify completion by running tripsDF.show() without the FileStatusCache NoSuchMethodError.

Written by the indexing model from the issue text.