semblance-databricks

Unofficial local HTTP simulation of selected Databricks workspace REST operations (clusters, jobs, warehouses, secrets metadata, DBFS stubs, permissions, SQL statements).

This package is not affiliated with, endorsed by, or equivalent to Databricks. It does not run Spark, jobs, or SQL engines. It is a test double for client development and CI.

Verified against public workspace REST documentation dated 2026-08-19. See compatibility.yaml (also served at /.well-known/semblance-databricks-compat.json).

Requires semblance 0.7.x or 0.8.x (>=0.7.0,<0.9).

Install

pip install semblance-databricks

From a clone of this repository:

pip install -e ".[dev]"
pip install -e "packages/semblance-databricks[dev]"

Optional official SDK extra (not installed in default CI):

pip install "semblance-databricks[sdk]"
pytest packages/semblance-databricks/tests -m sdk

Pinned SDK: databricks-sdk==0.57.0. Untested SDK versions are not implied compatible.

Quick start (HTTP)

from semblance_databricks import DatabricksMock, DatabricksMockConfig
from semblance_databricks.testing import databricks_test_client

dbx = DatabricksMock(DatabricksMockConfig(seed=42, auth="optional"))
dbx.load_bundled_fixture()
client = databricks_test_client(dbx)

r = client.get("/api/2.1/clusters/list?page_size=2")
assert r.status_code == 200

CLI:

semblance-databricks fixture init --output databricks.yaml
semblance-databricks validate databricks.yaml
semblance-databricks operations
semblance-databricks serve --fixture databricks.yaml --port 8766
# or: semblance-databricks serve   # bundled acme fixture

Environment variables for local clients (not Databricks credentials): SEMBLANCE_DATABRICKS_HOST, SEMBLANCE_DATABRICKS_TOKEN.

Auth modes

• disabled — ignore Authorization
• optional (default) — missing token is OK; malformed Bearer values return 401
• strict — token must be in DatabricksMockConfig.tokens

Authentication errors never echo the token. This is not an OAuth server.

Fixtures

YAML/JSON version 1. Extra fields are rejected. Fixtures are data only. Secret values are never returned on REST (list and put only; there is no get-key).

load_bundled_fixture() loads the shipped acme workspace. Use load_fixture(path) for your own files. Advance cluster/run state with dbx.tick().

Pagination

List endpoints use page_size or limit plus page_token / next_page_token. Tokens are opaque and checksummed. Tampering returns 400 INVALID_PARAMETER_VALUE.

Known unsupported (0.1.1)

• Unity Catalog, Model Serving, DLT / Spark Declarative Pipelines
• Jobs API 2.0 as primary (optional 2.1 aliases are representative)
• Real Spark/SQL execution (statements use fixture or allow-listed callbacks)

Unknown paths return Databricks-style 404. Known stubs such as clusters/permanent-delete and dbfs/add-block return 501 only when auth=strict.

Security

• Do not put production secrets in fixtures or tokens used with this mock
• Tokens are compared in-process and never written to error bodies
• Query/SQL/run-output behavior must be allow-listed Python, never YAML eval

License

MIT. Databricks is a trademark of its respective owners.