Teradata Package for Python Function Reference on VantageCloud Lake - list_data_sources - Teradata Package for Python - Look here for syntax, methods and examples for the functions included in the Teradata Package for Python.
Teradata® Package for Python Function Reference on VantageCloud Lake
- Deployment
- VantageCloud
- Edition
- Lake
- Product
- Teradata Package for Python
- Release Number
- 20.00.00.03
- Published
- December 2024
- ft:locale
- en-US
- ft:lastEdition
- 2024-12-19
- dita:id
- TeradataPython_FxRef_Lake_2000
- Product Category
- Teradata Vantage
- teradataml.store.feature_store.feature_store.FeatureStore.list_data_sources = list_data_sources(self, archived=False) -> teradataml.dataframe.dataframe.DataFrame
- DESCRIPTION:
List all the Data Sources.
PARAMETERS:
archived
Optional Argument
Specifies whether to list effective data sources or archived data sources.
When set to False, effective data sources in FeatureStore are listed,
otherwise, archived data sources are listed.
Default Value: False
Types: bool
RETURNS:
teradataml DataFrame
RAISES:
None
EXAMPLES:
>>> from teradataml import DataSource, FeatureStore, load_example_data
>>> load_example_data("dataframe", "admissions_train")
# Create teradataml DataFrame.
>>> admissions=DataFrame("admissions_train")
# Create FeatureStore for repo 'vfs_v1'.
>>> fs = FeatureStore("vfs_v1")
# Create DataSource using teradataml DataFrame.
>>> ds = DataSource(name='admissions', source=admissions)
# Apply the DataSource to FeatureStore.
>>> fs.apply(ds)
True
# Example 1: List all the effective DataSources in the repo 'vfs_v1'.
>>> fs.list_data_sources()
description timestamp_col_name source
name
admissions None None select * from "admissions_train"
>>>
# Example 2: List all the archived DataSources in the repo 'vfs_v1'.
# Let's first archive the DataSource.
>>> fs.archive_data_source('admissions')
DataSource 'admissions' is archived.
True
# List archived DataSources.
>>> fs.list_data_sources(archived=True)
description timestamp_col_name source archived_time
name
admissions None None select * from "admissions_train" 2024-09-30 12:05:39.220000
>>>