DatasetDefinition Class

Defines a series of steps that specify how to read and transform data in a Dataset.

Note

This class is deprecated. For more information, see https://aka.ms/dataset-deprecation.

A Dataset registered in an Azure Machine Learning workspace can have multiple definitions, each created by calling update_definition. Each definition has an unique identifier. The current definition is the latest one created.

For unregistered Datasets, only one definition exists.

Dataset definitions support all the transformations listed for the <xref:azureml.dataprep.Dataflow> class: see http://aka.ms/azureml/howto/transformdata. To learn more about Dataset Definitions, go to https://aka.ms/azureml/howto/versiondata.

Initialize the Dataset definition object.

Inheritance

azureml.dataprep.api.engineless_dataflow.EnginelessDataflow

DatasetDefinition

Constructor

DatasetDefinition(workspace=None, dataset_id=None, version_id=None, dataflow=None, dataflow_json=None, notes=None, etag=None, created_time=None, modified_time=None, state=None, deprecated_by_dataset_id=None, deprecated_by_definition_version=None, data_path=None, dataset=None, file_type='Unknown')

Parameters

Name	Description
workspace Required	str The workspace the Dataset is registered in.
dataset_id Required	str The Dataset identifier.
version_id Required	str The definition version.
dataflow Required	str The Dataflow object.
dataflow_json Required	The Dataflow json.
notes Required	str Optional information about the definition.
etag Required	str Etag.
created_time Required	datetime The creation time of the definition.
modified_time Required	datetime The last modified time of the definition.
deprecated_by_dataset_id Required	str The ID of the Dataset that deprecates this definition.
deprecated_by_definition_version Required	str The version of the definition that deprecates this definition.
data_path Required	DataPath The data path.
dataset Required	Dataset The parent Dataset object.

Methods

archive	Archive the dataset definition.
create_snapshot	Create a snapshot of the registered Dataset.
deprecate	Deprecate the Dataset, with a pointer to the new Dataset.
reactivate	Reactivate the dataset definition. Works on dataset definitions that have been deprecated or archived.
to_pandas_dataframe	Create a Pandas dataframe by executing the transformation pipeline defined by this dataset definition.
to_spark_dataframe	Create a Spark DataFrame that can execute the transformation pipeline defined by this Dataflow.

archive

Archive the dataset definition.

archive()

Returns

Type	Description
None	None.

Remarks

After archival, any attempt to retrieve the dataset will result in an error. If archived by accident, use reactivate to activate it.

create_snapshot

Create a snapshot of the registered Dataset.

create_snapshot(snapshot_name, compute_target=None, create_data_snapshot=False, target_datastore=None)

Parameters

Name	Description
snapshot_name Required	str The snapshot name. Snapshot names should be unique within a Dataset.
compute_target	ComputeTarget or str The compute target to perform the snapshot profile creation. If omitted, the local compute is used. default value: None
create_data_snapshot	bool If True, a materialized copy of the data will be created. default value: False
target_datastore	Union[AbstractAzureStorageDatastore, str] The target datastore where to save snapshot. If omitted, the snapshot will be created in the default storage of the workspace. default value: None

Returns

Type	Description
DatasetSnapshot	A DatasetSnapshot object.

Remarks

Snapshots capture point in time summary statistics of the underlying data and an optional copy of the data itself. To learn more about creating snapshots, go to https://aka.ms/azureml/howto/createsnapshots.

deprecate

Deprecate the Dataset, with a pointer to the new Dataset.

deprecate(deprecate_by_dataset_id, deprecated_by_definition_version=None)

Parameters

Name	Description
deprecate_by_dataset_id Required	uuid The dataset ID which is responsible for the deprecation of current dataset.
deprecated_by_definition_version	str The dataset definition version which is responsible for the deprecation of current dataset definition. default value: None

Returns

Type	Description
None	None.

Remarks

Deprecated dataset definitions will log warnings when they are consumed. To completely block a dataset definition from being consumed, archive it.

If a dataset definition is deprecated by accident, use reactivate to activate it.

reactivate

Reactivate the dataset definition.

Works on dataset definitions that have been deprecated or archived.

reactivate()

Returns

Type	Description
None	None.

to_pandas_dataframe

Create a Pandas dataframe by executing the transformation pipeline defined by this dataset definition.

to_pandas_dataframe()

Returns

Type	Description
DataFrame	A Pandas DataFrame.

Remarks

Return a Pandas DataFrame fully materialized in memory.

to_spark_dataframe

Create a Spark DataFrame that can execute the transformation pipeline defined by this Dataflow.

to_spark_dataframe()

Returns

Type	Description
DataFrame	A Spark DataFrame.

Remarks

The Spark Dataframe returned is only an execution plan and does not actually contain any data, as Spark Dataframes are lazily evaluated.