kedro.extras.datasets.pandas.SQLQueryDataSet

class kedro.extras.datasets.pandas.SQLQueryDataSet(sql, credentials, load_args=None)[source]

Bases: kedro.io.core.AbstractDataSet

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

It does not support save method so it is a read only data set. To save data to a SQL server use SQLTableDataSet.

Example:

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

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

sql_data = data_set.load()

Methods

SQLQueryDataSet.__init__(sql, credentials[, …]) Creates a new SQLQueryDataSet.
SQLQueryDataSet.exists() Checks whether a data set’s output already exists by calling the provided _exists() method.
SQLQueryDataSet.from_config(name, config[, …]) Create a data set instance using the configuration provided.
SQLQueryDataSet.load() Loads data by delegation to the provided load method.
SQLQueryDataSet.release() Release any cached data.
SQLQueryDataSet.save(data) Saves data by delegation to the provided save method.
__init__(sql, credentials, load_args=None)[source]

Creates a new SQLQueryDataSet.

Parameters:
Raises:

DataSetError – When either sql or con parameters is emtpy.

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.

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