delete_datasets() | DatasetCatalog Method | Teradata Package for Python - delete_datasets() - Teradata Package for Python

Use the delete_datasets() method to delete the archived dataset from the dataset catalog.

The delete datasets operation should be done only on archived datasets.

Required Parameter

id

Specifies the dataset id to be deleted from the dataset catalog.

Example setup

Upload features first to create a dataset.

>>> from teradataml import load_example_data, FeatureProcess
>>> load_example_data('dataframe', 'sales')
>>> df = DataFrame("sales")

Create a feature store.

>>> fs = FeatureStore(repo='vfs_v1', data_domain='sales')

Repo vfs_v1 does not exist. Run FeatureStore.setup() to create the repo and setup FeatureStore.

Set up FeatureStore for this repository.

>>> fs.setup()

True

Run FeatureProcess to ingest features.

>>> fp = FeatureProcess(repo='vfs_v1', data_domain='sales', object=df, entity='accounts',
...                     features=['Jan', 'Feb', 'Mar', 'Apr'])

>>> fp.run()

Process '3acf5632-5d73-11f0-99c5-a30631e77953' started.
Process '3acf5632-5d73-11f0-99c5-a30631e77953' completed.

Build a dataset.

>>> from teradataml import DatasetCatalog
>>> dc = DatasetCatalog(repo='vfs_v1', data_domain='sales')
>>> dataset = dc.build_dataset(entity='accounts',
...                            selected_features = {
...                                        'Jan': fp.process_id,
...                                        'Feb': fp.process_id},
...                            view_name='ds_jan_feb',
...                            description='Dataset with Jan and Feb features')

List the datasets.

>>> dc.list_datasets()

                                     data_domain          name entity_name                            description                       valid_start                       valid_end
id
851a651a-68a3-4eb6-b606-df2617089068       sales  ds_jan_feb_1    accounts      Dataset with Jan and Feb features    2025-07-10 09:50:25.527852+00:  9999-12-31 23:59:59.999999+00:

Example: Delete the dataset

>>> dc.delete_datasets('851a651a-68a3-4eb6-b606-df2617089068')

Dataset id(s) '851a651a-68a3-4eb6-b606-df2617089068' is/are deleted from the dataset catalog.
True

>>> dc.list_datasets()

Empty DataFrame
Columns: [data_domain, name, entity_name, description, valid_start, valid_end]
Index: []