解决方案是读取数据，然后追加，然后写回文件。
示例代码假设使用pandas和数据适合内存，如果不适合，可以使用dask

import pandas as pd
import pyarrow.parquet as pq
import pyarrow as pa

# Read the existing Parquet file
existing_df = pd.read_parquet('existing_file.parquet')

# Create a new DataFrame with new data (alternatively, read from another source)
new_data = {'column1': [value1, value2, ...],
            'column2': [value1, value2, ...],
            ...}

new_df = pd.DataFrame(new_data)

# Concatenate the existing DataFrame with the new DataFrame
updated_df = pd.concat([existing_df, new_df], ignore_index=True)

# Write the updated DataFrame to the same Parquet file
table = pa.Table.from_pandas(updated_df)
pq.write_to_dataset(table, root_path='existing_file.parquet', compression='snappy', use_dictionary=True)