[BUG] Getting ParquetDecodingException while writing to hudi dataset with MAP columns in hudi 0.13.1

We are upgrading our derived hudi datasets from hudi version 0.11.1 to 0.13.1.
Just to provide the context on the flow, We have created temp materialised tables in parquet format using spark job that writes data to a temp path. After this step is completed, another spark job reads materialised table and writes incrementally in hoodie format to the main table location.

Upon migrating to hudi v0.13.1, We encountered a weird issue while writing to the hoodie table which was related to failures in reading the latest base parquet files **when there is a MAP column present in the schema**.
If there are no map columns in schema, then there are no issues at all.

after downgrading table back to v0.11.1, we are able to write data to hoodie table without any issues.

main hoodie table properties :
`hoodie.table.keygenerator.class : org.apache.hudi.keygen.NonpartitionedKeyGenerator`
`hoodie.table.base.file.format : PARQUET`

**To Reproduce**

Steps to reproduce the behavior:

1. create a temp table which writes data in parquet format
Make sure to include a map column in the table.

2. write incrementally to hoodie table s3 path after reading from the temp table created in previous step.

- scala> val df = spark.sql("select * from clickstream_map_tbl_pos_tmp")
- scala> df.write.format("org.apache.hudi").mode(SaveMode.Append).save("s3://corp-data/derived-data/clickstream_map_tbl/")

**Expected behavior**

Data should be written to the hoodie table without any issues.

**Environment Description**

* Hudi version : 0.13.1

* Spark version : 3.2.1

* Hive version : 3.1.3

* Hadoop version : NA

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

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

**Additional context**

For step 1 we are using Presto-On-Spark jars for creating temp materialised tables.
```
spark-submit --conf spark.app.name=POS(1/2)-clickstream_map_tbl --conf spark.executor.cores=4 --conf spark.task.cpus=4 --conf spark.driver.cores=2 --conf spark.executor.memory=27g --conf spark.driver.memory=4g --conf spark.dynamicAllocation.enabled=true --conf spark.dynamicAllocation.initialExecutors=3 --conf spark.dynamicAllocation.minExecutors=1 --conf spark.dynamicAllocation.maxExecutors=8 --conf spark.task.maxFailures=20 --conf spark.rdd.compress=true --conf spark.serializer=org.apache.spark.serializer.KryoSerializer --conf spark.shuffle.service.enabled=true --conf spark.sql.hive.convertMetastoreParquet=false --conf spark.sql.shuffle.partitions=360 --conf spark.core.connection.ack.wait.timeout=180s --conf spark.files.fetchTimeout=180s --conf spark.cleaner.periodicGC.interval=10min --conf spark.yarn.max.executor.failures=5 --conf spark.driver.memoryOverhead=400m --conf spark.executor.memoryOverhead=2024m --conf spark.executor.instances=3 **--class com.facebook.presto.spark.launcher.PrestoSparkLauncher /home/hadoop/presto-spark-launcher-0.270.2.jar** --package /home/hadoop/presto-spark-package-0.270.2.tar.gz --catalog awsdatacatalog --schema default --config /home/hadoop/config.properties --catalogs /home/hadoop/catalog_medium --file /tmp/query_1699512610.7256024.sql
```
This --file has a simple insert query which reads from a view.

Step 2 hoodie table schema :
```
Schema:
message hoodie.clickstream_tbl_record {
optional binary _hoodie_commit_time (STRING);
optional binary _hoodie_commit_seqno (STRING);
optional binary _hoodie_record_key (STRING);
optional binary _hoodie_partition_path (STRING);
optional binary _hoodie_file_name (STRING);
optional binary payment_reference_id (STRING);
optional binary session_id (STRING);
optional group event_attributes (MAP) {
repeated group map (MAP_KEY_VALUE) {
required binary key (STRING);
optional binary value (STRING);
}
}
}
```

**Stacktrace**
```
23/11/09 09:43:34 ERROR TaskSetManager: Task 0 in stage 57.0 failed 4 times; aborting job
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 57.0 failed 4 times, most recent failure: Lost task 0.3 in stage 57.0 (TID 7273) (ip-**********.ap-south-1.compute.internal executor 36): org.apache.hudi.exception.HoodieUpsertException: Error upserting bucketType UPDATE for partition :0
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:336)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.lambda$mapPartitionsAsRDD$a3ab3c4$1(BaseSparkCommitActionExecutor.java:251)
at org.apache.spark.api.java.JavaRDDLike.$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$1(BlockManager.scala:1498)
at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1408)
at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1472)
at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1295)
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:133)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1474)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Caused by: org.apache.hudi.exception.HoodieException: org.apache.hudi.exception.HoodieException: org.apache.hudi.exception.HoodieException: unable to read next record from parquet file
at org.apache.hudi.table.action.commit.HoodieMergeHelper.runMerge(HoodieMergeHelper.java:156)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpdateInternal(BaseSparkCommitActionExecutor.java:372)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpdate(BaseSparkCommitActionExecutor.java:363)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:329)
... 28 more
Caused by: org.apache.hudi.exception.HoodieException: org.apache.hudi.exception.HoodieException: unable to read next record from parquet file
at org.apache.hudi.common.util.queue.SimpleExecutor.execute(SimpleExecutor.java:73)
at org.apache.hudi.table.action.commit.HoodieMergeHelper.runMerge(HoodieMergeHelper.java:154)
... 31 more
Caused by: org.apache.hudi.exception.HoodieException: unable to read next record from parquet file
at org.apache.hudi.common.util.ParquetReaderIterator.hasNext(ParquetReaderIterator.java:53)
at org.apache.hudi.common.util.MappingIterator.hasNext(MappingIterator.java:35)
at org.apache.hudi.common.util.queue.SimpleExecutor.execute(SimpleExecutor.java:65)
... 32 more
Caused by: org.apache.parquet.io.ParquetDecodingException: Can not read value at 0 in block -1 in file s3://corp-data/derived-data/clickstream_map_tbl/c4f77548-59de-45b5-ae8d-fc4f2c3adf08-0_0-22-2300_20231109055404147.parquet
at org.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:254)
at org.apache.parquet.hadoop.ParquetReader.read(ParquetReader.java:132)
at org.apache.parquet.hadoop.ParquetReader.read(ParquetReader.java:136)
at org.apache.hudi.common.util.ParquetReaderIterator.hasNext(ParquetReaderIterator.java:48)
... 34 more
Caused by: java.lang.ArrayIndexOutOfBoundsException
```

Reproduce the incremental write with a Parquet MAP column using the Spark example and the provided schema, then trace the failure through HoodieMergeHelper, ParquetReaderIterator, and InternalParquetRecordReader. Confirm the behavior against Hudi 0.11.1 and 0.13.1; done means the 0.13.1 write completes without a ParquetDecodingException.

Written by the indexing model from the issue text.