kedro.extras.datasets.pandas.SQLTableDataSet

class kedro.extras.datasets.pandas.SQLTableDataSet(table_name, credentials, load_args=None, save_args=None)[source]

Bases: kedro.io.core.AbstractDataSet

SQLTableDataSet loads data from a SQL table and saves a pandas dataframe to a table. It uses pandas.DataFrame internally, so it supports all allowed pandas options on read_sql_table and to_sql methods. Since Pandas uses SQLAlchemy behind the scenes, when instantiating SQLTableDataSet one needs to pass a compatible connection string either in credentials (see the example code snippet below) or in load_args and save_args. Connection string formats supported by SQLAlchemy can be found here: https://docs.sqlalchemy.org/en/13/core/engines.html#database-urls

SQLTableDataSet modifies the save parameters and stores the data with no index. This is designed to make load and save methods symmetric.

Example:

from kedro.extras.datasets.pandas import SQLTableDataSet
import pandas as pd

data = pd.DataFrame({"col1": [1, 2], "col2": [4, 5],
                     "col3": [5, 6]})
table_name = "table_a"
credentials = {
    "con": "postgresql://scott:tiger@localhost/test"
}
data_set = SQLTableDataSet(table_name=table_name,
                           credentials=credentials)

data_set.save(data)
reloaded = data_set.load()

assert data.equals(reloaded)

Attributes

SQLTableDataSet.DEFAULT_LOAD_ARGS

SQLTableDataSet.DEFAULT_SAVE_ARGS

Methods

SQLTableDataSet.exists()

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

SQLTableDataSet.from_config(name, config[, …])

Create a data set instance using the configuration provided.

SQLTableDataSet.load()

Loads data by delegation to the provided load method.

SQLTableDataSet.release()

Release any cached data.

SQLTableDataSet.save(data)

Saves data by delegation to the provided save method.

DEFAULT_LOAD_ARGS: Dict[str, Any] = {}
DEFAULT_SAVE_ARGS: Dict[str, Any] = {'index': False}
__init__(table_name, credentials, load_args=None, save_args=None)[source]

Creates a new SQLTableDataSet.

Parameters
Raises

DataSetError – When either table_name or con is empty.

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.

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 release 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