[Bug] [flink] Could not read External Tables

### Search before asking

- [X] I searched in the [issues](https://github.com/apache/incubator-paimon/issues) and found nothing similar.

### Paimon version

0.5

### Compute Engine

Flink 1.16.2

### Minimal reproduce step

[upload_excel.xlsx](https://github.com/apache/incubator-paimon/files/12459344/upload_excel.xlsx)
1. I trans this excel to parquet

df = pd.read_excel(args.file, sheet_name='data')
parquet_file = '/tmp/parquet_file/' + args.name + '.parquet'
df.to_parquet(parquet_file, index=False)`

2. I upload this parquet to "hdfs://draco01:9870/tmp/flink1.17.1/upload_parquet/table_name.parquet"
3. I create external table :

CREATE TABLE default_database.table_name (
col1 string,
col2 bigint,
col3 string,
col4 date,
col5 string,
PRIMARY KEY (col1,col2) NOT ENFORCED
) WITH (
'connector' = 'paimon',
'path' = 'hdfs://draco01:9870/tmp/flink1.17.1/upload_parquet/table_name.parquet'
);

4. Could read the schema:
+------+--------+-------+-----------------+--------+-----------+
| name | type | null | key | extras | watermark |
+------+--------+-------+-----------------+--------+-----------+
| col1 | STRING | FALSE | PRI(col1, col2) | | |
| col2 | BIGINT | FALSE | PRI(col1, col2) | | |
| col3 | STRING | TRUE | | | |
| col4 | DATE | TRUE | | | |
| col5 | STRING | TRUE | | | |
+------+--------+-------+-----------------+--------+-----------+
5 rows in set
5. Could not read the data, it shows below:
`Caused by: org.apache.hadoop.ipc.RpcException: RPC response exceeds maximum data length`

### What doesn't meet your expectations?

Want to know how to fix it.

### Anything else?

_No response_

### Are you willing to submit a PR?

- [ ] I'm willing to submit a PR!

Il report fornisce upload_excel.xlsx, una conversione da pandas a Parquet, un percorso HDFS e l’istruzione Flink SQL CREATE TABLE come punti di ingresso per la riproduzione. Riproduci la lettura con Paimon 0.5 e Flink 1.16.2, quindi traccia l’errore “RPC response exceeds maximum data length”; il lavoro è completato quando i dati della tabella esterna possono essere letti senza questo errore.

Scritto dal modello di indicizzazione a partire dal testo della issue.