[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!

Der Bericht stellt upload_excel.xlsx, eine pandas-to-Parquet-Konvertierung, einen HDFS-Pfad und die Flink SQL CREATE TABLE als Einstiegspunkte für die Reproduktion bereit. Reproduziere das Lesen mit Paimon 0.5 und Flink 1.16.2 und verfolge dann den Fehler „RPC response exceeds maximum data length“; abgeschlossen ist die Aufgabe, wenn die Daten der externen Tabelle ohne diesen Fehler gelesen werden können.

Vom Indexierungsmodell aus dem Issue-Text verfasst.