kedro.contrib.io.parquet.ParquetS3DataSet

class kedro.contrib.io.parquet.ParquetS3DataSet(filepath, bucket_name=None, credentials=None, load_args=None, save_args=None, version=None, s3fs_args=None)[source]

Bases: kedro.contrib.io.core.DefaultArgumentsMixIn, kedro.io.core.AbstractVersionedDataSet

ParquetS3DataSet loads and saves data to a file in S3. It uses s3fs to read and write from S3 and pandas to handle the parquet file.

Example:

from kedro.contrib.io.parquet.parquet_s3 import ParquetS3DataSet
import pandas as pd

data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5],
                     'col3': [5, 6]})

data_set = ParquetS3DataSet(
                        filepath="temp3.parquet",
                        bucket_name="test_bucket",
                        credentials={
                            'aws_access_key_id': 'YOUR_KEY',
                            'aws_access_secredt_key': 'YOUR SECRET'},
                        save_args={"compression": "GZIP"})
data_set.save(data)
reloaded = data_set.load()

assert data.equals(reloaded)

Attributes

ParquetS3DataSet.DEFAULT_LOAD_ARGS
ParquetS3DataSet.DEFAULT_SAVE_ARGS

Methods

ParquetS3DataSet.__init__(filepath[, …]) Creates a new instance of ParquetS3DataSet pointing to a concrete parquet file on S3.
ParquetS3DataSet.exists() Checks whether a data set’s output already exists by calling the provided _exists() method.
ParquetS3DataSet.from_config(name, config[, …]) Create a data set instance using the configuration provided.
ParquetS3DataSet.get_last_load_version() Versioned datasets should override this property to return last loaded version
ParquetS3DataSet.get_last_save_version() Versioned datasets should override this property to return last saved version.
ParquetS3DataSet.load() Loads data by delegation to the provided load method.
ParquetS3DataSet.release() Release any cached data.
ParquetS3DataSet.save(data) Saves data by delegation to the provided save method.
DEFAULT_LOAD_ARGS = {}
DEFAULT_SAVE_ARGS = {}
__init__(filepath, bucket_name=None, credentials=None, load_args=None, save_args=None, version=None, s3fs_args=None)[source]

Creates a new instance of ParquetS3DataSet pointing to a concrete parquet file on S3.

Parameters:
Return type:

None

exists()

Checks whether a data set’s output already exists by calling the provided _exists() method.

Return type:bool
Returns:Flag indicating whether the output already exists.
Raises:DataSetError – when underlying exists method raises error.
classmethod from_config(name, config, load_version=None, save_version=None)

Create a data set instance using the configuration provided.

Parameters:
  • name (str) – Data set name.
  • config (Dict[str, Any]) – Data set config dictionary.
  • load_version (Optional[str]) – Version string to be used for load operation if the data set is versioned. Has no effect on the data set if versioning was not enabled.
  • save_version (Optional[str]) – Version string to be used for save operation if the data set is versioned. Has no effect on the data set if versioning was not enabled.
Return type:

AbstractDataSet

Returns:

An instance of an AbstractDataSet subclass.

Raises:

DataSetError – When the function fails to create the data set from its config.

get_last_load_version()

Versioned datasets should override this property to return last loaded version

Return type:Optional[str]
get_last_save_version()

Versioned datasets should override this property to return last saved version.

Return type:Optional[str]
load()

Loads data by delegation to the provided load method.

Return type:Any
Returns:Data returned by the provided load method.
Raises:DataSetError – When underlying load method raises error.
release()

Release any cached data.

Raises:DataSetError – when underlying exists method raises error.
Return type:None
save(data)

Saves data by delegation to the provided save method.

Parameters:data (Any) – the value to be saved by provided save method.
Raises:DataSetError – when underlying save method raises error.
Return type:None