Add operator to create jobs in Databricks (#35156)

* Provider Databricks add jobs create operator.

* run black formatter with breeze

* added support for databricks sdk to use the latest set of objects for type hints

* remove without precommit

* added databricks-sdk with precommit

* use the databricks sdk objects

* fixed type hints and adjusted tests

* fixed as dict

* fixed tests with proper testing logic

* added jobs_create to provider.yaml file

* resoved comments on pr

* fixed imports in test_databricks.py

* added correct type hint for reset_job

* change type hint for json arg in DatabricksCreateJobsOperator

* fixed CI errors

* fixed broken tests and imports. also pinned databricks sdk to a specific version ==0.10.0

* fixed broken tests and imports. also pinned databricks sdk to a specific version ==0.10.0

* Fix CI static checks

* Remove databricks-sdk dependency

This was agreed with @stikkireddy, since there the SDK interfaces are changing ATM. When it becomes stable, we can re-introduce this dependency

---------

Co-authored-by: Kyle Winkelman <[email protected]>
Co-authored-by: Sri Tikkireddy <[email protected]>
Co-authored-by: stikkireddy <[email protected]>

airflow/providers/databricks/hooks/databricks.py

@@ -41,6 +41,8 @@
 START_CLUSTER_ENDPOINT = ("POST", "api/2.0/clusters/start")
 TERMINATE_CLUSTER_ENDPOINT = ("POST", "api/2.0/clusters/delete")
 
+CREATE_ENDPOINT = ("POST", "api/2.1/jobs/create")
+RESET_ENDPOINT = ("POST", "api/2.1/jobs/reset")
 RUN_NOW_ENDPOINT = ("POST", "api/2.1/jobs/run-now")
 SUBMIT_RUN_ENDPOINT = ("POST", "api/2.1/jobs/runs/submit")
 GET_RUN_ENDPOINT = ("GET", "api/2.1/jobs/runs/get")
@@ -194,6 +196,24 @@ def __init__(
     ) -> None:
         super().__init__(databricks_conn_id, timeout_seconds, retry_limit, retry_delay, retry_args, caller)
 
+    def create_job(self, json: dict) -> int:
+        """
+        Utility function to call the ``api/2.1/jobs/create`` endpoint.
+
+        :param json: The data used in the body of the request to the ``create`` endpoint.
+        :return: the job_id as an int
+        """
+        response = self._do_api_call(CREATE_ENDPOINT, json)
+        return response["job_id"]
+
+    def reset_job(self, job_id: str, json: dict) -> None:
+        """
+        Utility function to call the ``api/2.1/jobs/reset`` endpoint.
+
+        :param json: The data used in the new_settings of the request to the ``reset`` endpoint.
+        """
+        self._do_api_call(RESET_ENDPOINT, {"job_id": job_id, "new_settings": json})
+
     def run_now(self, json: dict) -> int:
         """
         Call the ``api/2.1/jobs/run-now`` endpoint.

airflow/providers/databricks/operators/databricks.py

@@ -21,6 +21,7 @@
 import time
 import warnings
 from functools import cached_property
+from logging import Logger
 from typing import TYPE_CHECKING, Any, Sequence
 
 from airflow.configuration import conf
@@ -31,8 +32,6 @@
 from airflow.providers.databricks.utils.databricks import normalise_json_content, validate_trigger_event
 
 if TYPE_CHECKING:
-    from logging import Logger
-
     from airflow.models.taskinstancekey import TaskInstanceKey
     from airflow.utils.context import Context
 
@@ -162,6 +161,135 @@ def get_link(
         return XCom.get_value(key=XCOM_RUN_PAGE_URL_KEY, ti_key=ti_key)
 
 
+class DatabricksCreateJobsOperator(BaseOperator):
+    """Creates (or resets) a Databricks job using the API endpoint.
+
+    .. seealso::
+        https://docs.databricks.com/api/workspace/jobs/create
+        https://docs.databricks.com/api/workspace/jobs/reset
+
+    :param json: A JSON object containing API parameters which will be passed
+        directly to the ``api/2.1/jobs/create`` endpoint. The other named parameters
+        (i.e. ``name``, ``tags``, ``tasks``, etc.) to this operator will
+        be merged with this json dictionary if they are provided.
+        If there are conflicts during the merge, the named parameters will
+        take precedence and override the top level json keys. (templated)
+
+        .. seealso::
+            For more information about templating see :ref:`concepts:jinja-templating`.
+    :param name: An optional name for the job.
+    :param tags: A map of tags associated with the job.
+    :param tasks: A list of task specifications to be executed by this job.
+        Array of objects (JobTaskSettings).
+    :param job_clusters: A list of job cluster specifications that can be shared and reused by
+        tasks of this job. Array of objects (JobCluster).
+    :param email_notifications: Object (JobEmailNotifications).
+    :param webhook_notifications: Object (WebhookNotifications).
+    :param timeout_seconds: An optional timeout applied to each run of this job.
+    :param schedule: Object (CronSchedule).
+    :param max_concurrent_runs: An optional maximum allowed number of concurrent runs of the job.
+    :param git_source: An optional specification for a remote repository containing the notebooks
+        used by this job's notebook tasks. Object (GitSource).
+    :param access_control_list: List of permissions to set on the job. Array of object
+        (AccessControlRequestForUser) or object (AccessControlRequestForGroup) or object
+        (AccessControlRequestForServicePrincipal).
+
+        .. seealso::
+            This will only be used on create. In order to reset ACL consider using the Databricks
+            UI.
+    :param databricks_conn_id: Reference to the
+        :ref:`Databricks connection <howto/connection:databricks>`. (templated)
+    :param polling_period_seconds: Controls the rate which we poll for the result of
+        this run. By default the operator will poll every 30 seconds.
+    :param databricks_retry_limit: Amount of times retry if the Databricks backend is
+        unreachable. Its value must be greater than or equal to 1.
+    :param databricks_retry_delay: Number of seconds to wait between retries (it
+            might be a floating point number).
+    :param databricks_retry_args: An optional dictionary with arguments passed to ``tenacity.Retrying`` class.
+
+    """
+
+    # Used in airflow.models.BaseOperator
+    template_fields: Sequence[str] = ("json", "databricks_conn_id")
+    # Databricks brand color (blue) under white text
+    ui_color = "#1CB1C2"
+    ui_fgcolor = "#fff"
+
+    def __init__(
+        self,
+        *,
+        json: Any | None = None,
+        name: str | None = None,
+        tags: dict[str, str] | None = None,
+        tasks: list[dict] | None = None,
+        job_clusters: list[dict] | None = None,
+        email_notifications: dict | None = None,
+        webhook_notifications: dict | None = None,
+        timeout_seconds: int | None = None,
+        schedule: dict | None = None,
+        max_concurrent_runs: int | None = None,
+        git_source: dict | None = None,
+        access_control_list: list[dict] | None = None,
+        databricks_conn_id: str = "databricks_default",
+        polling_period_seconds: int = 30,
+        databricks_retry_limit: int = 3,
+        databricks_retry_delay: int = 1,
+        databricks_retry_args: dict[Any, Any] | None = None,
+        **kwargs,
+    ) -> None:
+        """Creates a new ``DatabricksCreateJobsOperator``."""
+        super().__init__(**kwargs)
+        self.json = json or {}
+        self.databricks_conn_id = databricks_conn_id
+        self.polling_period_seconds = polling_period_seconds
+        self.databricks_retry_limit = databricks_retry_limit
+        self.databricks_retry_delay = databricks_retry_delay
+        self.databricks_retry_args = databricks_retry_args
+        if name is not None:
+            self.json["name"] = name
+        if tags is not None:
+            self.json["tags"] = tags
+        if tasks is not None:
+            self.json["tasks"] = tasks
+        if job_clusters is not None:
+            self.json["job_clusters"] = job_clusters
+        if email_notifications is not None:
+            self.json["email_notifications"] = email_notifications
+        if webhook_notifications is not None:
+            self.json["webhook_notifications"] = webhook_notifications
+        if timeout_seconds is not None:
+            self.json["timeout_seconds"] = timeout_seconds
+        if schedule is not None:
+            self.json["schedule"] = schedule
+        if max_concurrent_runs is not None:
+            self.json["max_concurrent_runs"] = max_concurrent_runs
+        if git_source is not None:
+            self.json["git_source"] = git_source
+        if access_control_list is not None:
+            self.json["access_control_list"] = access_control_list
+
+        self.json = normalise_json_content(self.json)
+
+    @cached_property
+    def _hook(self):
+        return DatabricksHook(
+            self.databricks_conn_id,
+            retry_limit=self.databricks_retry_limit,
+            retry_delay=self.databricks_retry_delay,
+            retry_args=self.databricks_retry_args,
+            caller="DatabricksCreateJobsOperator",
+        )
+
+    def execute(self, context: Context) -> int:
+        if "name" not in self.json:
+            raise AirflowException("Missing required parameter: name")
+        job_id = self._hook.find_job_id_by_name(self.json["name"])
+        if job_id is None:
+            return self._hook.create_job(self.json)
+        self._hook.reset_job(str(job_id), self.json)
+        return job_id
+
+
 class DatabricksSubmitRunOperator(BaseOperator):
     """
     Submits a Spark job run to Databricks using the api/2.1/jobs/runs/submit API endpoint.

airflow/providers/databricks/provider.yaml

@@ -66,6 +66,7 @@ integrations:
   - integration-name: Databricks
     external-doc-url: https://databricks.com/
     how-to-guide:
+      - /docs/apache-airflow-providers-databricks/operators/jobs_create.rst
       - /docs/apache-airflow-providers-databricks/operators/submit_run.rst
       - /docs/apache-airflow-providers-databricks/operators/run_now.rst
     logo: /integration-logos/databricks/Databricks.png
@@ -123,3 +124,10 @@ connection-types:
 
 extra-links:
   - airflow.providers.databricks.operators.databricks.DatabricksJobRunLink
+
+additional-extras:
+  # pip install apache-airflow-providers-databricks[sdk]
+  - name: sdk
+    description: Install Databricks SDK
+    dependencies:
+      - databricks-sdk==0.10.0

docs/apache-airflow-providers-databricks/operators/jobs_create.rst

@@ -0,0 +1,91 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+    or more contributor license agreements.  See the NOTICE file
+    distributed with this work for additional information
+    regarding copyright ownership.  The ASF licenses this file
+    to you under the Apache License, Version 2.0 (the
+    "License"); you may not use this file except in compliance
+    with the License.  You may obtain a copy of the License at
+
+ ..   http://www.apache.org/licenses/LICENSE-2.0
+
+ .. Unless required by applicable law or agreed to in writing,
+    software distributed under the License is distributed on an
+    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+    KIND, either express or implied.  See the License for the
+    specific language governing permissions and limitations
+    under the License.
+
+
+
+DatabricksCreateJobsOperator
+============================
+
+Use the :class:`~airflow.providers.databricks.operators.DatabricksCreateJobsOperator` to create
+(or reset) a Databricks job. This operator relies on past XComs to remember the ``job_id`` that
+was created so that repeated calls with this operator will update the existing job rather than
+creating new ones. When paired with the DatabricksRunNowOperator all runs will fall under the same
+job within the Databricks UI.
+
+
+Using the Operator
+------------------
+
+There are three ways to instantiate this operator. In the first way, you can take the JSON payload that you typically use
+to call the ``api/2.1/jobs/create`` endpoint and pass it directly to our ``DatabricksCreateJobsOperator`` through the
+``json`` parameter.  With this approach you get full control over the underlying payload to Jobs REST API, including
+execution of Databricks jobs with multiple tasks, but it's harder to detect errors because of the lack of the type checking.
+
+The second way to accomplish the same thing is to use the named parameters of the ``DatabricksCreateJobsOperator`` directly. Note that there is exactly
+one named parameter for each top level parameter in the ``api/2.1/jobs/create`` endpoint.
+
+The third way is to use both the json parameter **AND** the named parameters. They will be merged
+together. If there are conflicts during the merge, the named parameters will take precedence and
+override the top level ``json`` keys.
+
+Currently the named parameters that ``DatabricksCreateJobsOperator`` supports are:
+  - ``name``
+  - ``tags``
+  - ``tasks``
+  - ``job_clusters``
+  - ``email_notifications``
+  - ``webhook_notifications``
+  - ``timeout_seconds``
+  - ``schedule``
+  - ``max_concurrent_runs``
+  - ``git_source``
+  - ``access_control_list``
+
+
+Examples
+--------
+
+Specifying parameters as JSON
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+An example usage of the DatabricksCreateJobsOperator is as follows:
+
+.. exampleinclude:: /../../tests/system/providers/databricks/example_databricks.py
+    :language: python
+    :start-after: [START howto_operator_databricks_jobs_create_json]
+    :end-before: [END howto_operator_databricks_jobs_create_json]
+
+Using named parameters
+^^^^^^^^^^^^^^^^^^^^^^
+
+You can also use named parameters to initialize the operator and run the job.
+
+.. exampleinclude:: /../../tests/system/providers/databricks/example_databricks.py
+    :language: python
+    :start-after: [START howto_operator_databricks_jobs_create_named]
+    :end-before: [END howto_operator_databricks_jobs_create_named]
+
+Pairing with DatabricksRunNowOperator
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+You can use the ``job_id`` that is returned by the DatabricksCreateJobsOperator in the
+return_value XCom as an argument to the DatabricksRunNowOperator to run the job.
+
+.. exampleinclude:: /../../tests/system/providers/databricks/example_databricks.py
+    :language: python
+    :start-after: [START howto_operator_databricks_run_now]
+    :end-before: [END howto_operator_databricks_run_now]

tests/providers/databricks/hooks/test_databricks.py

@@ -107,6 +107,20 @@
 }
 
 
+def create_endpoint(host):
+    """
+    Utility function to generate the create endpoint given the host.
+    """
+    return f"https://{host}/api/2.1/jobs/create"
+
+
+def reset_endpoint(host):
+    """
+    Utility function to generate the reset endpoint given the host.
+    """
+    return f"https://{host}/api/2.1/jobs/reset"
+
+
 def run_now_endpoint(host):
     """
     Utility function to generate the run now endpoint given the host.
@@ -387,6 +401,43 @@ def test_do_api_call_patch(self, mock_requests):
             timeout=self.hook.timeout_seconds,
         )
 
+    @mock.patch("airflow.providers.databricks.hooks.databricks_base.requests")
+    def test_create(self, mock_requests):
+        mock_requests.codes.ok = 200
+        mock_requests.post.return_value.json.return_value = {"job_id": JOB_ID}
+        status_code_mock = mock.PropertyMock(return_value=200)
+        type(mock_requests.post.return_value).status_code = status_code_mock
+        json = {"name": "test"}
+        job_id = self.hook.create_job(json)
+
+        assert job_id == JOB_ID
+
+        mock_requests.post.assert_called_once_with(
+            create_endpoint(HOST),
+            json={"name": "test"},
+            params=None,
+            auth=HTTPBasicAuth(LOGIN, PASSWORD),
+            headers=self.hook.user_agent_header,
+            timeout=self.hook.timeout_seconds,
+        )
+
+    @mock.patch("airflow.providers.databricks.hooks.databricks_base.requests")
+    def test_reset(self, mock_requests):
+        mock_requests.codes.ok = 200
+        status_code_mock = mock.PropertyMock(return_value=200)
+        type(mock_requests.post.return_value).status_code = status_code_mock
+        json = {"name": "test"}
+        self.hook.reset_job(JOB_ID, json)
+
+        mock_requests.post.assert_called_once_with(
+            reset_endpoint(HOST),
+            json={"job_id": JOB_ID, "new_settings": {"name": "test"}},
+            params=None,
+            auth=HTTPBasicAuth(LOGIN, PASSWORD),
+            headers=self.hook.user_agent_header,
+            timeout=self.hook.timeout_seconds,
+        )
+
     @mock.patch("airflow.providers.databricks.hooks.databricks_base.requests")
     def test_submit_run(self, mock_requests):
         mock_requests.post.return_value.json.return_value = {"run_id": "1"}