Using pyarrow how do you append to parquet file?

问题

How do you append/update to a parquet file with pyarrow?

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


 table2 = pd.DataFrame({'one': [-1, np.nan, 2.5], 'two': ['foo', 'bar', 'baz'], 'three': [True, False, True]})
 table3 = pd.DataFrame({'six': [-1, np.nan, 2.5], 'nine': ['foo', 'bar', 'baz'], 'ten': [True, False, True]})


pq.write_table(table2, './dataNew/pqTest2.parquet')
#append pqTest2 here?

There is nothing I found in the docs about appending parquet files. And, Can you use pyarrow with multiprocessing to insert/update the data.

回答1:

I ran into the same issue and I think I was able to solve it using the following:

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


chunksize=10000 # this is the number of lines

pqwriter = None
for i, df in enumerate(pd.read_csv('sample.csv', chunksize=chunksize)):
    table = pa.Table.from_pandas(df)
    # for the first chunk of records
    if i == 0:
        # create a parquet write object giving it an output file
        pqwriter = pq.ParquetWriter('sample.parquet', table.schema)
        pqwriter.write_table(table)
    # subsequent chunks can be written to the same file
    else:
        pqwriter.write_table(table)

# close the parquet writer
if pqwriter:
    pqwriter.close()

回答2:

Generally speaking, Parquet datasets consist of multiple files, so you append by writing an additional file into the same directory where the data belongs to. It would be useful to have the ability to concatenate multiple files easily. I opened https://issues.apache.org/jira/browse/PARQUET-1154 to make this possible to do easily in C++ (and therefore Python)

回答3:

In your case the column name is not consistent, I made the column name consistent for three sample dataframes and the following code worked for me.

# -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq


def append_to_parquet_table(dataframe, filepath=None, writer=None):
    """Method writes/append dataframes in parquet format.

    This method is used to write pandas DataFrame as pyarrow Table in parquet format. If the methods is invoked
    with writer, it appends dataframe to the already written pyarrow table.

    :param dataframe: pd.DataFrame to be written in parquet format.
    :param filepath: target file location for parquet file.
    :param writer: ParquetWriter object to write pyarrow tables in parquet format.
    :return: ParquetWriter object. This can be passed in the subsequenct method calls to append DataFrame
        in the pyarrow Table
    """
    table = pa.Table.from_pandas(dataframe)
    if writer is None:
        writer = pq.ParquetWriter(filepath, table.schema)
    writer.write_table(table=table)
    return writer


if __name__ == '__main__':

    table1 = pd.DataFrame({'one': [-1, np.nan, 2.5], 'two': ['foo', 'bar', 'baz'], 'three': [True, False, True]})
    table2 = pd.DataFrame({'one': [-1, np.nan, 2.5], 'two': ['foo', 'bar', 'baz'], 'three': [True, False, True]})
    table3 = pd.DataFrame({'one': [-1, np.nan, 2.5], 'two': ['foo', 'bar', 'baz'], 'three': [True, False, True]})
    writer = None
    filepath = '/tmp/verify_pyarrow_append.parquet'
    table_list = [table1, table2, table3]

    for table in table_list:
        writer = append_to_parquet_table(table, filepath, writer)

    if writer:
        writer.close()

    df = pd.read_parquet(filepath)
    print(df)

Output:

   one  three  two
0 -1.0   True  foo
1  NaN  False  bar
2  2.5   True  baz
0 -1.0   True  foo
1  NaN  False  bar
2  2.5   True  baz
0 -1.0   True  foo
1  NaN  False  bar
2  2.5   True  baz

来源：https://stackoverflow.com/questions/47113813/using-pyarrow-how-do-you-append-to-parquet-file

标签

python

pandas

parquet

pyarrow