[SUPPORT] hoodie.cleaner.commits.retained Setting Overridden, Warning to Increase to 20

Issue Description:
I'm encountering an issue with Hudi configurations related to commit retention and cleaning. Despite explicitly setting hoodie.cleaner.commits.retained to 5, I'm receiving a warning suggesting it should be set to 20. It seems like the system is not acknowledging my provided value and is using some default instead.

```
hudi_options = {
"hoodie.keep.min.commits": "5",
"hoodie.cleaner.commits.retained": "5",
"hoodie.keep.max.commits": "6"
}

```

Warning Message:
```
24/06/11 08:56:29 WARN HoodieWriteConfig: Increase hoodie.keep.min.commits=7 to be greater than hoodie.cleaner.commits.retained=20 (there is risk of incremental pull missing data from few instants based on the current configuration). The Hudi archiver will automatically adjust the configuration regardless.

```
Steps to Reproduce:
Use the above Hudi configuration.
Run the ingestion process using the provided code sample.
Expected Behavior:
The system should respect the explicitly set hoodie.cleaner.commits.retained value of 5 without suggesting an increase to 20.

Actual Behavior:
The system issues a warning to increase hoodie.keep.min.commits to be greater than hoodie.cleaner.commits.retained set to 20, despite hoodie.cleaner.commits.retained being explicitly set to 5.

Environment:
Hudi Version: 0.14.0
Spark Version: 3.4
OS: macOS
Code Sample:
```

import os
import sys
from pyspark.sql import SparkSession

HUDI_VERSION = '0.14.0'
SPARK_VERSION = '3.4'

os.environ["JAVA_HOME"] = "/opt/homebrew/opt/openjdk@11"
SUBMIT_ARGS = f"--packages org.apache.hudi:hudi-spark{SPARK_VERSION}-bundle_2.12:{HUDI_VERSION} pyspark-shell"
os.environ["PYSPARK_SUBMIT_ARGS"] = SUBMIT_ARGS
os.environ['PYSPARK_PYTHON'] = sys.executable

# Spark session
spark = SparkSession.builder \
.config('spark.serializer', 'org.apache.spark.serializer.KryoSerializer') \
.config('spark.sql.extensions', 'org.apache.spark.sql.hudi.HoodieSparkSessionExtension') \
.config('className', 'org.apache.hudi') \
.config('spark.sql.hive.convertMetastoreParquet', 'false') \
.getOrCreate()

def write_to_hudi(spark_df,
table_name,
db_name,
method='upsert',
table_type='COPY_ON_WRITE',
recordkey='',
precombine='',
partition_fields='',
index_type='BLOOM',
curr_region='us-east-1'
):
path = f"file:///path/to/hudi/table/{db_name}/{table_name}"

hudi_options = {
'hoodie.table.name': table_name,
'hoodie.datasource.write.table.type': table_type,
'hoodie.datasource.write.table.name': table_name,
'hoodie.datasource.write.operation': method,
'hoodie.datasource.write.recordkey.field': recordkey,
'hoodie.datasource.write.precombine.field': precombine,
"hoodie.datasource.write.partitionpath.field": partition_fields,

"hoodie.keep.min.commits": "5",
"hoodie.cleaner.commits.retained": "5",
"hoodie.keep.max.commits": "6",

"hoodie.write.concurrency.mode": "optimistic_concurrency_control",
"hoodie.cleaner.policy.failed.writes": "LAZY",
"hoodie.write.lock.provider": "org.apache.hudi.client.transaction.lock.FileSystemBasedLockProvider",
}
print(hudi_options)
print(path)

spark_df.write.format("hudi"). \
options(**hudi_options). \
mode("append"). \
save(path)

from pyspark.sql.types import StructType, StructField, StringType

schema = StructType([
StructField("id", StringType(), True),
StructField("message", StringType(), True)
])

# Loop to generate data and write to Hudi
for i in range(1, 10):
# Create the data
updated_data = [(str(i), "Batch : {} ".format(i))]

# Create the DataFrame with the new data
df = spark.createDataFrame(updated_data, schema)

# Show the DataFrame with the updated "message" column
df.show()

# Write to Hudi
write_to_hudi(
spark_df=df,
method="upsert",
db_name="default",
table_name="messages",
recordkey="id",
precombine="message"
)

import time
time.sleep(1)

```

Additional Context:
This behavior seems to indicate an internal adjustment or default setting that overrides the user-defined configuration, potentially causing confusion and misconfiguration. Any insights or fixes to ensure that the provided configurations are respected would be greatly appreciated.


Start with the provided PySpark reproduction using Hudi 0.14.0 and inspect the HoodieWriteConfig warning path. Trace how hoodie.cleaner.commits.retained and hoodie.keep.min.commits are read and adjusted, then verify that an explicit retained value of 5 is respected or that the warning explains the adjustment.

Written by the indexing model from the issue text.