azure-databricks-sdk-python 0.0.2

A Python SDK for the Azure Databricks REST API 2.0.

Azure Databricks SDK Python

azure-databricks-sdk-python is a Python SDK for the Azure Databricks REST API 2.0.

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Easily, perform all the operations as if on the Databricks UI:

from azure_databricks_sdk_python import Client
from azure_databricks_sdk_python.types.clusters import AutoScale, ClusterAttributes

client = Client(databricks_instance="<instance>", personal_access_token="<token>")
spark_conf = {'spark.speculation': True}
autoscale = AutoScale(min_workers=0, max_workers=1)
attributes = ClusterAttributes(cluster_name="my-cluster",
                            spark_version="7.2.x-scala2.12",
                            node_type_id="Standard_D3_v2",
                            spark_conf=spark_conf,
                            autoscale=autoscale)
created = client.clusters.create(attributes)
print(created.cluster_id)

Beloved Features

azure-databricks-sdk-python is ready for your use-case:

• Clear standard to access to APIs.
• Contains custom types for the API results and requests.
• Support for Personal Access token authentification.
• Support for Azure AD authentification.
• Support for the use of Azure AD service principals.
• Allows free-style API calls with a force mode -(bypass types validation).
• Error handeling and proxy support.

Officially supports 3.6+, and runs great on PyPy.

Implementation Progress

Please refer to the progress below:

Feature	Progress
Authentification	100% ✔
Custom types	25%
API Wrappers	25%
Error handling	80%
Proxy support	0%
Documentation	20%

As for specific API wrappers:

API	Progress
Clusters API	100% ✔
Secrets API	100% ✔
Token API	100% ✔
Jobs API	0%
DBFS API	0%
Groups API	0%
Libraries API	0%
Workspace API	0%
Clusters Policies API	0%
Instance Pools API	0%
MLflow API	0%
Permissions API	0%
SCIM API	0%
Token Management API	0%

Documentation

Check the documentation on readthedocs.org.

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