Dataset Management

Dataset is the most basic concept in Graviti SDK. Almost all operations require a dataset first. Of course, it is necessary to initialize a Workspace before managing the dataset:

from graviti import Workspace
ws = Workspace(f"{YOUR_ACCESSKEY}")

Create a Dataset

SDK provides method create() to support creating a dataset based on the given name:

ws.datasets.create(f"{DATASET_NAME}")

In addition to name, alias and storage config can also be specified:

ws.datasets.create(f"{DATASET_NAME}", f"{DATASET_ALIAS}", f"{STORAGE_CONFIG}")

Note

Unlike the operation on the web page, here SDK will not create an empty draft after creating the dataset.

List Datasets

SDK provides method list() to support listing datasets on the workspace:

ws.datasets.list()

Get a Dataset

SDK provides method get() to support getting a dataset by name:

ws.datasets.get(f"{DATASET_NAME}")

Delete a Dataset

SDK provides method delete() to support deleting a dataset by name:

ws.datasets.delete(f"{DATASET_NAME}")

Edit the Dataset

SDK provides method edit() to support changing the name, alias and default branch of the dataset.

dataset = ws.datasets.get(f"{DATASET_NAME}")
dataset.edit(
    name=f"{NEW_DATASET_NAME}",
    alias=f"{NEW_ALIAS}",
    default_branch=f"{NEW_DEFAULT_BRANCH}"
)