Error while writing hudi tables with the extensions jar

Steps to reproduce:

Note: This issue only happens when the `hudi-extensions-0.1.0-SNAPSHOT-bundled.jar` is added to the class path, and its important for Big Query integration as iceberg tables.

```
spark-shell \
--jars /Users/sagarl/latest/incubator-xtable/hudi-support/extensions/target/hudi-extensions-0.1.0-SNAPSHOT-bundled.jar \
--packages org.apache.hudi:hudi-spark3.2-bundle_2.12:0.14.0 \
--conf "spark.serializer=org.apache.spark.serializer.KryoSerializer" \
--conf "spark.sql.extensions=org.apache.spark.sql.hudi.HoodieSparkSessionExtension" \
--conf "spark.sql.catalog.spark_catalog=org.apache.spark.sql.hudi.catalog.HoodieCatalog" \
--conf "spark.kryo.registrator=org.apache.spark.HoodieSparkKryoRegistrar" \
--conf "hoodie.avro.write.support.class=org.apache.xtable.hudi.extensions.HoodieAvroWriteSupportWithFieldIds" \
--conf "hoodie.client.init.callback.classes=org.apache.xtable.hudi.extensions.AddFieldIdsClientInitCallback" \
--conf "hoodie.datasource.write.row.writer.enable=false" \
```

```
val data = Seq(("John", "Doe", 30), ("Jane", "Doe", 25))
val df = data.toDF("FirstName", "LastName", "Age")

val tableName = "sample_hudi_table"
val hudiOptions = Map(
"hoodie.table.name" -> tableName
)

df.write.format("hudi")
.options(hudiOptions)
.mode("overwrite")
.save(s"/tmp/personal-bq-benchmarking/$tableName")
```

Error:
```
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2450)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2399)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2398)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2398)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1156)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1156)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1156)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2638)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2580)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2569)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:938)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2224)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2245)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2264)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2289)
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.api.java.JavaRDDLike.collect(JavaRDDLike.scala:362)
at org.apache.spark.api.java.JavaRDDLike.collect$(JavaRDDLike.scala:361)
at org.apache.spark.api.java.AbstractJavaRDDLike.collect(JavaRDDLike.scala:45)
at org.apache.hudi.data.HoodieJavaRDD.collectAsList(HoodieJavaRDD.java:177)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.setCommitMetadata(BaseSparkCommitActionExecutor.java:289)
at org.apache.hudi.table.action.commit.BaseCommitActionExecutor.autoCommit(BaseCommitActionExecutor.java:197)
at org.apache.hudi.table.action.commit.BaseCommitActionExecutor.commitOnAutoCommit(BaseCommitActionExecutor.java:183)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.updateIndexAndCommitIfNeeded(BaseSparkCommitActionExecutor.java:279)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.execute(BaseSparkCommitActionExecutor.java:184)
at org.apache.hudi.table.action.deltacommit.SparkUpsertPreppedDeltaCommitActionExecutor.execute(SparkUpsertPreppedDeltaCommitActionExecutor.java:44)
at org.apache.hudi.table.HoodieSparkMergeOnReadTable.upsertPrepped(HoodieSparkMergeOnReadTable.java:126)
at org.apache.hudi.table.HoodieSparkMergeOnReadTable.upsertPrepped(HoodieSparkMergeOnReadTable.java:88)
at org.apache.hudi.client.SparkRDDWriteClient.upsertPreppedRecords(SparkRDDWriteClient.java:156)
at org.apache.hudi.client.SparkRDDWriteClient.upsertPreppedRecords(SparkRDDWriteClient.java:63)
at org.apache.hudi.metadata.HoodieBackedTableMetadataWriter.commitInternal(HoodieBackedTableMetadataWriter.java:1132)
at org.apache.hudi.metadata.SparkHoodieBackedTableMetadataWriter.commit(SparkHoodieBackedTableMetadataWriter.java:117)
at org.apache.hudi.metadata.HoodieBackedTableMetadataWriter.processAndCommit(HoodieBackedTableMetadataWriter.java:855)
at org.apache.hudi.metadata.HoodieBackedTableMetadataWriter.update(HoodieBackedTableMetadataWriter.java:1032)
at org.apache.hudi.table.action.BaseActionExecutor.writeTableMetadata(BaseActionExecutor.java:105)
... 124 more
Caused by: org.apache.hudi.exception.HoodieUpsertException: Error upserting bucketType UPDATE for partition :0
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:342)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.lambda$mapPartitionsAsRDD$a3ab3c4$1(BaseSparkCommitActionExecutor.java:257)
at org.apache.spark.api.java.JavaRDDLike.$anonfun$mapPartitionsWithIndex$1(JavaRDDLike.scala:102)
at org.apache.spark.api.java.JavaRDDLike.$anonfun$mapPartitionsWithIndex$1$adapted(JavaRDDLike.scala:102)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2(RDD.scala:915)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2$adapted(RDD.scala:915)
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.$anonfun$getOrCompute$1(RDD.scala:386)
at org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1513)
at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1423)
at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1487)
at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1310)
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.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1491)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:829)
Caused by: java.lang.NoSuchMethodError: 'void org.apache.hudi.common.table.log.block.HoodieHFileDataBlock.(java.util.List, java.util.Map, org.apache.hudi.org.apache.hadoop.hbase.io.compress.Compression$Algorithm, org.apache.hadoop.fs.Path)'
at org.apache.hudi.io.HoodieAppendHandle.getBlock(HoodieAppendHandle.java:669)
at org.apache.hudi.io.HoodieAppendHandle.appendDataAndDeleteBlocks(HoodieAppendHandle.java:469)
at org.apache.hudi.io.HoodieAppendHandle.doAppend(HoodieAppendHandle.java:450)
at org.apache.hudi.table.action.deltacommit.BaseSparkDeltaCommitActionExecutor.handleUpdate(BaseSparkDeltaCommitActionExecutor.java:83)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:335)
... 28 more

scala>
```

Start with the spark-shell command and the bundled hudi-support/extensions jar named in the report, using Hudi 0.14.0 and the listed configurations. Trace the NoSuchMethodError from HoodieAppendHandle to HoodieHFileDataBlock and inspect the extension/Hudi dependency versions. Done means the reproduced DataFrame write completes successfully with the extensions jar present.

Written by the indexing model from the issue text.