[SUPPORT] Can't redefine array

Dear community,
I found an error in using Hudi. If we use the array> type in the table.Afterwards, every time I add columns and then write , it throws an exception, The error message is as follows:

Has anyone encountered this issue? How should it be resolved?

Steps to reproduce the behavior:
1.create table
CREATE TABLE IF NOT EXISTS db.table (
`p_id` bigint ,
`record_items` array> ,
`edit_items` array> ,
`texts` array> ,
`p_date` string
) using hudi
PARTITIONED BY (p_date)
options (
type = 'mor',
primaryKey = 'p_id',
payloadClass='org.apache.hudi.common.model.PartialUpdateAvroPayload',

'hoodie.bucket.index.num.buckets'='4'
);
2.insert into table db.table
select
130928195078 as p_id,
array(named_struct("name", "John", "value", 10),
named_struct("name", "wangwu", "value", 5),
named_struct("name", "Bob", "value", 7)) as record_items,
array(named_struct("name", "zhangsan", "value", 10),
named_struct("name", "Jane", "value", 5),
named_struct("name", "lisi", "value", 7)) as edit_items,
null as texts,
'20240810' as p_date
;
3.alter table db.table add columns(is_new_col string);
4.insert into table db.table
select
130928195078 as p_id,
array(named_struct("name", "John", "value", 10),
named_struct("name", "wangwu", "value", 5),
named_struct("name", "Bob", "value", 7)) as record_items,
array(named_struct("name", "zhangsan", "value", 10),
named_struct("name", "Jane", "value", 5),
named_struct("name", "lisi", "value", 7)) as edit_items,
null as texts,
'newcol' as is_new_col,
'20240810' as p_date
;

**Environment Description**

* Hudi version :0.14.0

* Spark version :2.4

* Hadoop version :2.6

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

stack
org.apache.spark.SparkException: org.apache.hudi.exception.HoodieUpsertException: Error upserting bucketType UPDATE for partition :0
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:394)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:394)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleInsertPartition(BaseSparkCommitActionExecutor.java:400)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.lambda$mapPartitionsAsRDD$a3ab3c4$2(BaseSparkCommitActionExecutor.java:310)
at org.apache.spark.api.java.JavaRDDLike$$anonfun$mapPartitionsWithIndex$1.apply(JavaRDDLike.scala:102)
at org.apache.spark.api.java.JavaRDDLike$$anonfun$mapPartitionsWithIndex$1.apply(JavaRDDLike.scala:102)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$25.apply(RDD.scala:873)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$25.apply(RDD.scala:873)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:344)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:308)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:344)
at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:357)
at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:355)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1184)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1158)
at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:1093)
at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1158)
at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:884)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:355)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:306)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:344)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:308)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:95)
at org.apache.spark.scheduler.Task.run(Task.scala:124)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$11.apply(Executor.scala:495)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1388)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:501)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
at java.base/java.lang.Thread.run(Thread.java:959)
Caused by: org.apache.hudi.exception.HoodieException: org.apache.avro.SchemaParseException: Can't redefine: array
at org.apache.hudi.table.action.commit.HoodieMergeHelper.runMerge(HoodieMergeHelper.java:149)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpdateInternal(BaseSparkCommitActionExecutor.java:439)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpdate(BaseSparkCommitActionExecutor.java:421)
at org.apache.hudi.table.action.deltacommit.BaseSparkDeltaCommitActionExecutor.handleUpdate(BaseSparkDeltaCommitActionExecutor.java:80)
at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:387)
... 31 more
Caused by: org.apache.avro.SchemaParseException: Can't redefine: array
at org.apache.avro.Schema$Names.put(Schema.java:1128)
at org.apache.avro.Schema$NamedSchema.writeNameRef(Schema.java:562)
at org.apache.avro.Schema$RecordSchema.toJson(Schema.java:690)
at org.apache.avro.Schema$ArraySchema.toJson(Schema.java:805)
at org.apache.avro.Schema$UnionSchema.toJson(Schema.java:882)
at org.apache.avro.Schema$RecordSchema.fieldsToJson(Schema.java:716)
at org.apache.avro.Schema$RecordSchema.toJson(Schema.java:701)
at org.apache.avro.Schema.toString(Schema.java:324)
at org.apache.avro.Schema.toString(Schema.java:314)
at org.apache.parquet.avro.AvroReadSupport.setAvroReadSchema(AvroReadSupport.java:69)
at org.apache.hudi.io.storage.HoodieAvroParquetReader.getIndexedRecordIteratorInternal(HoodieAvroParquetReader.java:162)
at org.apache.hudi.io.storage.HoodieAvroParquetReader.getIndexedRecordIterator(HoodieAvroParquetReader.java:94)
at org.apache.hudi.io.storage.HoodieAvroParquetReader.getRecordIterator(HoodieAvroParquetReader.java:73)
at org.apache.hudi.table.action.commit.HoodieMergeHelper.runMerge(HoodieMergeHelper.java:126)
... 35 more

Reproduce the SQL sequence in the issue on Hudi 0.14.0 with Spark 2.4, then trace the failure from HoodieMergeHelper.java into HoodieAvroParquetReader.java and the reported Avro schema stack. Done means adding a column and performing the second insert no longer fails with SchemaParseException: Can't redefine: array.

Written by the indexing model from the issue text.