### Description

Add the ability to partition parquet files by columns. Right now you can partition files only by size.

### Use case/motivation

_No response_

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] 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)

from airflow.models import BaseOperator
from airflow.providers.google.cloud.hooks.gcs import GCSHook
if TYPE_CHECKING:
    from airflow.utils.context import Context
class BaseSQLToGCSOperator(BaseOperator):
    """
    Copy data from SQL to Google Cloud Storage in JSON, CSV, or Parquet format.
    :param sql: The SQL to execute.
    :param bucket: The bucket to upload to.
    :param filename: The filename to use as the object name when uploading
        to Google Cloud Storage. A ``{}`` should be specified in the filename
        to allow the operator to inject file numbers in cases where the
        file is split due to size.
    :param schema_filename: If set, the filename to use as the object name
        when uploading a .json file containing the BigQuery schema fields
        for the table that was dumped from the database.
    :param approx_max_file_size_bytes: This operator supports the ability
        to split large table dumps into multiple files (see notes in the
        filename param docs above). This param allows developers to specify the
        file size of the splits. Check https://cloud.google.com/storage/quotas
        to see the maximum allowed file size for a single object.
    :param export_format: Desired format of files to be exported. (json, csv or parquet)
    :param stringify_dict: Whether to dump Dictionary type objects
        (such as JSON columns) as a string. Applies only to CSV/JSON export format.
    :param field_delimiter: The delimiter to be used for CSV files.
    :param null_marker: The null marker to be used for CSV files.
    :param gzip: Option to compress file for upload (does not apply to schemas).
    :param schema: The schema to use, if any. Should be a list of dict or
        a str. Pass a string if using Jinja template, otherwise, pass a list of
        dict. Examples could be seen: https://cloud.google.com/bigquery/docs