kedro.extras.datasets.pandas.GBQTableDataSet¶
- class kedro.extras.datasets.pandas.GBQTableDataSet(dataset, table_name, project=None, credentials=None, load_args=None, save_args=None)[source]¶
GBQTableDataSet
loads and saves data from/to Google BigQuery. It uses pandas-gbq to read and write from/to BigQuery table.Example usage for the YAML API:
vehicles: type: pandas.GBQTableDataSet dataset: big_query_dataset table_name: big_query_table project: my-project credentials: gbq-creds load_args: reauth: True save_args: chunk_size: 100
Example usage for the Python API:
from kedro.extras.datasets.pandas import GBQTableDataSet import pandas as pd data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], 'col3': [5, 6]}) data_set = GBQTableDataSet('dataset', 'table_name', project='my-project') data_set.save(data) reloaded = data_set.load() assert data.equals(reloaded)
Attributes
Methods
exists
()Checks whether a data set's output already exists by calling the provided _exists() method.
from_config
(name, config[, load_version, ...])Create a data set instance using the configuration provided.
load
()Loads data by delegation to the provided load method.
release
()Release any cached data.
save
(data)Saves data by delegation to the provided save method.
- DEFAULT_LOAD_ARGS: Dict[str, Any] = {}¶
- DEFAULT_SAVE_ARGS: Dict[str, Any] = {'progress_bar': False}¶
- __init__(dataset, table_name, project=None, credentials=None, load_args=None, save_args=None)[source]¶
Creates a new instance of
GBQTableDataSet
.- Parameters:
dataset (
str
) – Google BigQuery dataset.table_name (
str
) – Google BigQuery table name.project (
Optional
[str
]) – Google BigQuery Account project ID. Optional when available from the environment. https://cloud.google.com/resource-manager/docs/creating-managing-projectscredentials (
Union
[Dict
[str
,Any
],Credentials
,None
]) – Credentials for accessing Google APIs. Eithergoogle.auth.credentials.Credentials
object or dictionary with parameters required to instantiategoogle.oauth2.credentials.Credentials
. Here you can find all the arguments: https://google-auth.readthedocs.io/en/latest/reference/google.oauth2.credentials.htmlload_args (
Optional
[Dict
[str
,Any
]]) – Pandas options for loading BigQuery table into DataFrame. Here you can find all available arguments: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_gbq.html All defaults are preserved.save_args (
Optional
[Dict
[str
,Any
]]) – Pandas options for saving DataFrame to BigQuery table. Here you can find all available arguments: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_gbq.html All defaults are preserved, but “progress_bar”, which is set to False.
- Raises:
DatasetError – When
load_args['location']
andsave_args['location']
are different.
- 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 – Data set name.
config – Data set config dictionary.
load_version – 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 – 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.
- Returns:
An instance of an
AbstractDataset
subclass.- Raises:
DatasetError – When the function fails to create the data set from its config.
- load()¶
Loads data by delegation to the provided load method.
- Return type:
TypeVar
(_DO
)- 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 release method raises error.
- Return type:
None
- save(data)¶
Saves data by delegation to the provided save method.
- Parameters:
data (
TypeVar
(_DI
)) – the value to be saved by provided save method.- Raises:
DatasetError – when underlying save method raises error.
FileNotFoundError – when save method got file instead of dir, on Windows.
NotADirectoryError – when save method got file instead of dir, on Unix.
- Return type:
None