### Apache Airflow version

Other Airflow 2 version (please specify below)
Airflow 2.4.2

### What happened

BaseSQLToGCSOperator creates row group for each rows during parquet generation, which cause compression not work and increase file size.
![image](https://github.com/apache/airflow/assets/51909776/bf256065-c130-4354-81c7-8ca2ed4e8d93)


### What you think should happen instead

_No response_

### How to reproduce

OracleToGCSOperator(
        task_id='oracle_to_gcs_parquet_test',
        gcp_conn_id=GCP_CONNECTION,
        oracle_conn_id=ORACLE_CONNECTION,
        sql='',
        bucket=GCS_BUCKET_NAME,
        filename='',
        export_format='parquet',
)

### Operating System

CentOS Linux 7

### Versions of Apache Airflow Providers

apache-airflow-providers-apache-hive  2.1.0
apache-airflow-providers-apache-sqoop 2.0.2
apache-airflow-providers-celery       3.0.0
apache-airflow-providers-common-sql   1.2.0
apache-airflow-providers-ftp          3.1.0
apache-airflow-providers-google       8.4.0
apache-airflow-providers-http         4.0.0
apache-airflow-providers-imap         3.0.0
apache-airflow-providers-mysql        3.0.0
apache-airflow-providers-oracle       2.1.0
apache-airflow-providers-salesforce   5.3.0
apache-airflow-providers-sqlite       3.2.1

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

if self.export_format == "parquet":
                    parquet_writer = self._configure_parquet_file(tmp_file_handle, parquet_schema)
        if self.export_format == "parquet":
            parquet_writer.close()
        
        
        if file_to_upload["file_row_count"] > 0 or (file_no == 0 and self.write_on_empty):
            file_to_upload["partition_values"] = curr_partition_values
            yield file_to_upload
    def _get_file_to_upload(self, file_mime_type, file_no):
        """Returns a dictionary that represents the file to upload."""
        tmp_file_handle = NamedTemporaryFile(mode="w", encoding="utf-8", delete=True)
        return (
            {
                "file_name": self.filename.format(file_no),
                "file_handle": tmp_file_handle,
                "file_mime_type": file_mime_type,
                "file_row_count": 0,
            },
            tmp_file_handle,
        )
    def _get_file_mime_type(self):
        if self.export_format == "csv":
            file_mime_type = "text/csv"
        elif self.export_format == "parquet":
            file_mime_type = "application/octet-stream"
        else:
            file_mime_type = "application/json"
        return file_mime_type
    def _configure_csv_file(self, file_handle, schema):