From 22ec72606363405573774c0b2de2dcbc4ff41588 Mon Sep 17 00:00:00 2001 From: Pankaj Koti Date: Tue, 9 Jul 2024 22:22:27 +0530 Subject: [PATCH] Add DatabricksWorkflowPlugin (#40153) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The DatabricksWorkflowPlugin provides with links in the Airflow UI for tasks that allow us to see the Databricks job run in the Databricks workspace, additionally it also provides link to repair task(s) in the workflow. Databricks does not allow repairing jobs with single tasks launched outside the workflow, hence we just provide the link for the job run. Screenshot 2024-06-24 at 4 05 53 PM Within the workflow, for each of the task, we provide links to the job run and repair link for the single task Screenshot 2024-06-24 at 5 40 27 PM And at the workflow level, for the job launch task, we provide a link to repair all failed tasks along with the link for job run in the Databricks workspace that can be used to monitor the job in the Databricks account. Screenshot 2024-06-24 at 5 40 56 PM --------- Co-authored-by: Wei Lee --- .../databricks/operators/databricks.py | 32 +- .../operators/databricks_workflow.py | 5 + .../providers/databricks/plugins/__init__.py | 16 + .../databricks/plugins/databricks_workflow.py | 457 ++++++++++++++++++ airflow/providers/databricks/provider.yaml | 4 + .../img/workflow_plugin_launch_task.png | Bin 0 -> 229013 bytes .../img/workflow_plugin_single_task.png | Bin 0 -> 277562 bytes .../index.rst | 1 + .../plugins/index.rst | 28 ++ .../plugins/workflow.rst | 60 +++ generated/provider_dependencies.json | 7 +- tests/plugins/test_plugins_manager.py | 2 +- .../providers/databricks/plugins/__init__.py | 16 + .../plugins/test_databricks_workflow.py | 261 ++++++++++ 14 files changed, 884 insertions(+), 5 deletions(-) create mode 100644 airflow/providers/databricks/plugins/__init__.py create mode 100644 airflow/providers/databricks/plugins/databricks_workflow.py create mode 100644 docs/apache-airflow-providers-databricks/img/workflow_plugin_launch_task.png create mode 100644 docs/apache-airflow-providers-databricks/img/workflow_plugin_single_task.png create mode 100644 docs/apache-airflow-providers-databricks/plugins/index.rst create mode 100644 docs/apache-airflow-providers-databricks/plugins/workflow.rst create mode 100644 tests/providers/databricks/plugins/__init__.py create mode 100644 tests/providers/databricks/plugins/test_databricks_workflow.py diff --git a/airflow/providers/databricks/operators/databricks.py b/airflow/providers/databricks/operators/databricks.py index d322519230d2..a263fa9106a1 100644 --- a/airflow/providers/databricks/operators/databricks.py +++ b/airflow/providers/databricks/operators/databricks.py @@ -35,6 +35,10 @@ DatabricksWorkflowTaskGroup, WorkflowRunMetadata, ) +from airflow.providers.databricks.plugins.databricks_workflow import ( + WorkflowJobRepairSingleTaskLink, + WorkflowJobRunLink, +) from airflow.providers.databricks.triggers.databricks import DatabricksExecutionTrigger from airflow.providers.databricks.utils.databricks import _normalise_json_content, validate_trigger_event @@ -958,6 +962,15 @@ def __init__( super().__init__(**kwargs) + if self._databricks_workflow_task_group is not None: + self.operator_extra_links = ( + WorkflowJobRunLink(), + WorkflowJobRepairSingleTaskLink(), + ) + else: + # Databricks does not support repair for non-workflow tasks, hence do not show the repair link. + self.operator_extra_links = (DatabricksJobRunLink(),) + @cached_property def _hook(self) -> DatabricksHook: return self._get_hook(caller=self.caller) @@ -1016,12 +1029,17 @@ def _get_run_json(self) -> dict[str, Any]: raise ValueError("Must specify either existing_cluster_id or new_cluster.") return run_json - def _launch_job(self) -> int: + def _launch_job(self, context: Context | None = None) -> int: """Launch the job on Databricks.""" run_json = self._get_run_json() self.databricks_run_id = self._hook.submit_run(run_json) url = self._hook.get_run_page_url(self.databricks_run_id) self.log.info("Check the job run in Databricks: %s", url) + + if self.do_xcom_push and context is not None: + context["ti"].xcom_push(key=XCOM_RUN_ID_KEY, value=self.databricks_run_id) + context["ti"].xcom_push(key=XCOM_RUN_PAGE_URL_KEY, value=url) + return self.databricks_run_id def _handle_terminal_run_state(self, run_state: RunState) -> None: @@ -1040,7 +1058,15 @@ def _get_current_databricks_task(self) -> dict[str, Any]: """Retrieve the Databricks task corresponding to the current Airflow task.""" if self.databricks_run_id is None: raise ValueError("Databricks job not yet launched. Please run launch_notebook_job first.") - return {task["task_key"]: task for task in self._hook.get_run(self.databricks_run_id)["tasks"]}[ + tasks = self._hook.get_run(self.databricks_run_id)["tasks"] + + # Because the task_key remains the same across multiple runs, and the Databricks API does not return + # tasks sorted by their attempts/start time, we sort the tasks by start time. This ensures that we + # map the latest attempt (whose status is to be monitored) of the task run to the task_key while + # building the {task_key: task} map below. + sorted_task_runs = sorted(tasks, key=lambda x: x["start_time"]) + + return {task["task_key"]: task for task in sorted_task_runs}[ self._get_databricks_task_id(self.task_id) ] @@ -1125,7 +1151,7 @@ def execute(self, context: Context) -> None: self.databricks_run_id = workflow_run_metadata.run_id self.databricks_conn_id = workflow_run_metadata.conn_id else: - self._launch_job() + self._launch_job(context=context) if self.wait_for_termination: self.monitor_databricks_job() diff --git a/airflow/providers/databricks/operators/databricks_workflow.py b/airflow/providers/databricks/operators/databricks_workflow.py index 8203145314fd..15333dc69118 100644 --- a/airflow/providers/databricks/operators/databricks_workflow.py +++ b/airflow/providers/databricks/operators/databricks_workflow.py @@ -28,6 +28,10 @@ from airflow.exceptions import AirflowException from airflow.models import BaseOperator from airflow.providers.databricks.hooks.databricks import DatabricksHook, RunLifeCycleState +from airflow.providers.databricks.plugins.databricks_workflow import ( + WorkflowJobRepairAllFailedLink, + WorkflowJobRunLink, +) from airflow.utils.task_group import TaskGroup if TYPE_CHECKING: @@ -88,6 +92,7 @@ class _CreateDatabricksWorkflowOperator(BaseOperator): populated after instantiation using the `add_task` method. """ + operator_extra_links = (WorkflowJobRunLink(), WorkflowJobRepairAllFailedLink()) template_fields = ("notebook_params",) caller = "_CreateDatabricksWorkflowOperator" diff --git a/airflow/providers/databricks/plugins/__init__.py b/airflow/providers/databricks/plugins/__init__.py new file mode 100644 index 000000000000..13a83393a912 --- /dev/null +++ b/airflow/providers/databricks/plugins/__init__.py @@ -0,0 +1,16 @@ +# 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. diff --git a/airflow/providers/databricks/plugins/databricks_workflow.py b/airflow/providers/databricks/plugins/databricks_workflow.py new file mode 100644 index 000000000000..186f14d02afd --- /dev/null +++ b/airflow/providers/databricks/plugins/databricks_workflow.py @@ -0,0 +1,457 @@ +# 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. + +from __future__ import annotations + +import logging +import os +from operator import itemgetter +from typing import TYPE_CHECKING, Any, cast + +from flask import current_app, flash, redirect, request, url_for +from flask_appbuilder.api import expose + +from airflow.configuration import conf +from airflow.exceptions import AirflowException, TaskInstanceNotFound +from airflow.models import BaseOperator, BaseOperatorLink +from airflow.models.dag import DAG, clear_task_instances +from airflow.models.dagrun import DagRun +from airflow.models.taskinstance import TaskInstance, TaskInstanceKey +from airflow.models.xcom import XCom +from airflow.plugins_manager import AirflowPlugin +from airflow.providers.databricks.hooks.databricks import DatabricksHook +from airflow.utils.airflow_flask_app import AirflowApp +from airflow.utils.log.logging_mixin import LoggingMixin +from airflow.utils.session import NEW_SESSION, provide_session +from airflow.utils.state import TaskInstanceState +from airflow.utils.task_group import TaskGroup +from airflow.www.views import AirflowBaseView + +if TYPE_CHECKING: + from sqlalchemy.orm.session import Session + + +REPAIR_WAIT_ATTEMPTS = os.getenv("DATABRICKS_REPAIR_WAIT_ATTEMPTS", 20) +REPAIR_WAIT_DELAY = os.getenv("DATABRICKS_REPAIR_WAIT_DELAY", 0.5) + +airflow_app = cast(AirflowApp, current_app) + + +def _get_databricks_task_id(task: BaseOperator) -> str: + """ + Get the databricks task ID using dag_id and task_id. removes illegal characters. + + :param task: The task to get the databricks task ID for. + :return: The databricks task ID. + """ + return f"{task.dag_id}__{task.task_id.replace('.', '__')}" + + +def get_databricks_task_ids( + group_id: str, task_map: dict[str, BaseOperator], log: logging.Logger +) -> list[str]: + """ + Return a list of all Databricks task IDs for a dictionary of Airflow tasks. + + :param group_id: The task group ID. + :param task_map: A dictionary mapping task IDs to BaseOperator instances. + :param log: The logger to use for logging. + :return: A list of Databricks task IDs for the given task group. + """ + task_ids = [] + log.debug("Getting databricks task ids for group %s", group_id) + for task_id, task in task_map.items(): + if task_id == f"{group_id}.launch": + continue + databricks_task_id = _get_databricks_task_id(task) + log.debug("databricks task id for task %s is %s", task_id, databricks_task_id) + task_ids.append(databricks_task_id) + return task_ids + + +@provide_session +def _get_dagrun(dag: DAG, run_id: str, session: Session | None = None) -> DagRun: + """ + Retrieve the DagRun object associated with the specified DAG and run_id. + + :param dag: The DAG object associated with the DagRun to retrieve. + :param run_id: The run_id associated with the DagRun to retrieve. + :param session: The SQLAlchemy session to use for the query. If None, uses the default session. + :return: The DagRun object associated with the specified DAG and run_id. + """ + if not session: + raise AirflowException("Session not provided.") + + return session.query(DagRun).filter(DagRun.dag_id == dag.dag_id, DagRun.run_id == run_id).first() + + +@provide_session +def _clear_task_instances( + dag_id: str, run_id: str, task_ids: list[str], log: logging.Logger, session: Session | None = None +) -> None: + dag = airflow_app.dag_bag.get_dag(dag_id) + log.debug("task_ids %s to clear", str(task_ids)) + dr: DagRun = _get_dagrun(dag, run_id, session=session) + tis_to_clear = [ti for ti in dr.get_task_instances() if _get_databricks_task_id(ti) in task_ids] + clear_task_instances(tis_to_clear, session) + + +def _repair_task( + databricks_conn_id: str, + databricks_run_id: int, + tasks_to_repair: list[str], + logger: logging.Logger, +) -> int: + """ + Repair a Databricks task using the Databricks API. + + This function allows the Airflow retry function to create a repair job for Databricks. + It uses the Databricks API to get the latest repair ID before sending the repair query. + + :param databricks_conn_id: The Databricks connection ID. + :param databricks_run_id: The Databricks run ID. + :param tasks_to_repair: A list of Databricks task IDs to repair. + :param logger: The logger to use for logging. + :return: None + """ + hook = DatabricksHook(databricks_conn_id=databricks_conn_id) + + repair_history_id = hook.get_latest_repair_id(databricks_run_id) + logger.debug("Latest repair ID is %s", repair_history_id) + logger.debug( + "Sending repair query for tasks %s on run %s", + tasks_to_repair, + databricks_run_id, + ) + + repair_json = { + "run_id": databricks_run_id, + "latest_repair_id": repair_history_id, + "rerun_tasks": tasks_to_repair, + } + + return hook.repair_run(repair_json) + + +def get_launch_task_id(task_group: TaskGroup) -> str: + """ + Retrieve the launch task ID from the current task group or a parent task group, recursively. + + :param task_group: Task Group to be inspected + :return: launch Task ID + """ + try: + launch_task_id = task_group.get_child_by_label("launch").task_id # type: ignore[attr-defined] + except KeyError as e: + if not task_group.parent_group: + raise AirflowException("No launch task can be found in the task group.") from e + launch_task_id = get_launch_task_id(task_group.parent_group) + + return launch_task_id + + +def _get_launch_task_key(current_task_key: TaskInstanceKey, task_id: str) -> TaskInstanceKey: + """ + Return the task key for the launch task. + + This allows us to gather databricks Metadata even if the current task has failed (since tasks only + create xcom values if they succeed). + + :param current_task_key: The task key for the current task. + :param task_id: The task ID for the current task. + :return: The task key for the launch task. + """ + if task_id: + return TaskInstanceKey( + dag_id=current_task_key.dag_id, + task_id=task_id, + run_id=current_task_key.run_id, + try_number=current_task_key.try_number, + ) + + return current_task_key + + +@provide_session +def get_task_instance(operator: BaseOperator, dttm, session: Session = NEW_SESSION) -> TaskInstance: + dag_id = operator.dag.dag_id + dag_run = DagRun.find(dag_id, execution_date=dttm)[0] + ti = ( + session.query(TaskInstance) + .filter( + TaskInstance.dag_id == dag_id, + TaskInstance.run_id == dag_run.run_id, + TaskInstance.task_id == operator.task_id, + ) + .one_or_none() + ) + if not ti: + raise TaskInstanceNotFound("Task instance not found") + return ti + + +def get_xcom_result( + ti_key: TaskInstanceKey, + key: str, + ti: TaskInstance | None, +) -> Any: + result = XCom.get_value( + ti_key=ti_key, + key=key, + ) + from airflow.providers.databricks.operators.databricks_workflow import WorkflowRunMetadata + + return WorkflowRunMetadata(**result) + + +class WorkflowJobRunLink(BaseOperatorLink, LoggingMixin): + """Constructs a link to monitor a Databricks Job Run.""" + + name = "See Databricks Job Run" + + def get_link( + self, + operator: BaseOperator, + dttm=None, + *, + ti_key: TaskInstanceKey | None = None, + ) -> str: + ti = None + if not ti_key: + ti = get_task_instance(operator, dttm) + ti_key = ti.key + task_group = operator.task_group + + if not task_group: + raise AirflowException("Task group is required for generating Databricks Workflow Job Run Link.") + + dag = airflow_app.dag_bag.get_dag(ti_key.dag_id) + dag.get_task(ti_key.task_id) + self.log.info("Getting link for task %s", ti_key.task_id) + if ".launch" not in ti_key.task_id: + self.log.debug("Finding the launch task for job run metadata %s", ti_key.task_id) + launch_task_id = get_launch_task_id(task_group) + ti_key = _get_launch_task_key(ti_key, task_id=launch_task_id) + # Should we catch the exception here if there is no return value? + metadata = get_xcom_result(ti_key, "return_value", ti) + + hook = DatabricksHook(metadata.conn_id) + return f"https://{hook.host}/#job/{metadata.job_id}/run/{metadata.run_id}" + + +class WorkflowJobRepairAllFailedLink(BaseOperatorLink, LoggingMixin): + """Constructs a link to send a request to repair all failed tasks in the Databricks workflow.""" + + name = "Repair All Failed Tasks" + + def get_link( + self, + operator, + dttm=None, + *, + ti_key: TaskInstanceKey | None = None, + ) -> str: + ti = None + if not ti_key: + ti = get_task_instance(operator, dttm) + ti_key = ti.key + task_group = operator.task_group + self.log.debug( + "Creating link to repair all tasks for databricks job run %s", + task_group.group_id, + ) + # Should we catch the exception here if there is no return value? + metadata = get_xcom_result(ti_key, "return_value", ti) + + tasks_str = self.get_tasks_to_run(ti_key, operator, self.log) + self.log.debug("tasks to rerun: %s", tasks_str) + + query_params = { + "dag_id": ti_key.dag_id, + "databricks_conn_id": metadata.conn_id, + "databricks_run_id": metadata.run_id, + "run_id": ti_key.run_id, + "tasks_to_repair": tasks_str, + } + + return url_for("RepairDatabricksTasks.repair", **query_params) + + @classmethod + def get_task_group_children(cls, task_group: TaskGroup) -> dict[str, BaseOperator]: + """ + Given a TaskGroup, return children which are Tasks, inspecting recursively any TaskGroups within. + + :param task_group: An Airflow TaskGroup + :return: Dictionary that contains Task IDs as keys and Tasks as values. + """ + children: dict[str, Any] = {} + for child_id, child in task_group.children.items(): + if isinstance(child, TaskGroup): + child_children = cls.get_task_group_children(child) + children = {**children, **child_children} + else: + children[child_id] = child + return children + + def get_tasks_to_run(self, ti_key: TaskInstanceKey, operator: BaseOperator, log: logging.Logger) -> str: + task_group = operator.task_group + if not task_group: + raise AirflowException("Task group is required for generating repair link.") + if not task_group.group_id: + raise AirflowException("Task group ID is required for generating repair link.") + dag = airflow_app.dag_bag.get_dag(ti_key.dag_id) + dr = _get_dagrun(dag, ti_key.run_id) + log.debug("Getting failed and skipped tasks for dag run %s", dr.run_id) + task_group_sub_tasks = self.get_task_group_children(task_group).items() + failed_and_skipped_tasks = self._get_failed_and_skipped_tasks(dr) + log.debug("Failed and skipped tasks: %s", failed_and_skipped_tasks) + + tasks_to_run = {ti: t for ti, t in task_group_sub_tasks if ti in failed_and_skipped_tasks} + + return ",".join(get_databricks_task_ids(task_group.group_id, tasks_to_run, log)) + + @staticmethod + def _get_failed_and_skipped_tasks(dr: DagRun) -> list[str]: + """ + Return a list of task IDs for tasks that have failed or have been skipped in the given DagRun. + + :param dr: The DagRun object for which to retrieve failed and skipped tasks. + + :return: A list of task IDs for tasks that have failed or have been skipped. + """ + return [ + t.task_id + for t in dr.get_task_instances( + state=[ + TaskInstanceState.FAILED, + TaskInstanceState.SKIPPED, + TaskInstanceState.UP_FOR_RETRY, + TaskInstanceState.UPSTREAM_FAILED, + None, + ], + ) + ] + + +class WorkflowJobRepairSingleTaskLink(BaseOperatorLink, LoggingMixin): + """Construct a link to send a repair request for a single databricks task.""" + + name = "Repair a single task" + + def get_link( + self, + operator, + dttm=None, + *, + ti_key: TaskInstanceKey | None = None, + ) -> str: + ti = None + if not ti_key: + ti = get_task_instance(operator, dttm) + ti_key = ti.key + + task_group = operator.task_group + if not task_group: + raise AirflowException("Task group is required for generating repair link.") + + self.log.info( + "Creating link to repair a single task for databricks job run %s task %s", + task_group.group_id, + ti_key.task_id, + ) + dag = airflow_app.dag_bag.get_dag(ti_key.dag_id) + task = dag.get_task(ti_key.task_id) + # Should we catch the exception here if there is no return value? + if ".launch" not in ti_key.task_id: + launch_task_id = get_launch_task_id(task_group) + ti_key = _get_launch_task_key(ti_key, task_id=launch_task_id) + metadata = get_xcom_result(ti_key, "return_value", ti) + + query_params = { + "dag_id": ti_key.dag_id, + "databricks_conn_id": metadata.conn_id, + "databricks_run_id": metadata.run_id, + "run_id": ti_key.run_id, + "tasks_to_repair": _get_databricks_task_id(task), + } + return url_for("RepairDatabricksTasks.repair", **query_params) + + +class RepairDatabricksTasks(AirflowBaseView, LoggingMixin): + """Repair databricks tasks from Airflow.""" + + default_view = "repair" + + @expose("/repair_databricks_job", methods=("GET",)) + def repair(self): + databricks_conn_id, databricks_run_id, dag_id, tasks_to_repair = itemgetter( + "databricks_conn_id", "databricks_run_id", "dag_id", "tasks_to_repair" + )(request.values) + view = conf.get("webserver", "dag_default_view") + return_url = self._get_return_url(dag_id, view) + run_id = request.values.get("run_id").replace( + " ", "+" + ) # get run id separately since we need to modify it + if not tasks_to_repair: + # If there are no tasks to repair, we return. + flash("No tasks to repair. Not sending repair request.") + return redirect(return_url) + self.log.info("Tasks to repair: %s", tasks_to_repair) + self.log.info("Repairing databricks job %s", databricks_run_id) + res = _repair_task( + databricks_conn_id=databricks_conn_id, + databricks_run_id=databricks_run_id, + tasks_to_repair=tasks_to_repair.split(","), + logger=self.log, + ) + self.log.info("Repairing databricks job query for run %s sent", databricks_run_id) + + self.log.info("Clearing tasks to rerun in airflow") + _clear_task_instances(dag_id, run_id, tasks_to_repair.split(","), self.log) + flash(f"Databricks repair job is starting!: {res}") + return redirect(return_url) + + @staticmethod + def _get_return_url(dag_id: str, view) -> str: + return f"/dags/{dag_id}/{view}" + + +repair_databricks_view = RepairDatabricksTasks() + +repair_databricks_package = { + "name": "Repair Databricks View", + "category": "Repair Databricks Plugin", + "view": repair_databricks_view, +} + + +class DatabricksWorkflowPlugin(AirflowPlugin): + """ + Databricks Workflows plugin for Airflow. + + .. seealso:: + For more information on how to use this plugin, take a look at the guide: + :ref:`howto/plugin:DatabricksWorkflowPlugin` + """ + + name = "databricks_workflow" + operator_extra_links = [ + WorkflowJobRepairAllFailedLink(), + WorkflowJobRepairSingleTaskLink(), + WorkflowJobRunLink(), + ] + appbuilder_views = [repair_databricks_package] diff --git a/airflow/providers/databricks/provider.yaml b/airflow/providers/databricks/provider.yaml index 930813ced328..013298265988 100644 --- a/airflow/providers/databricks/provider.yaml +++ b/airflow/providers/databricks/provider.yaml @@ -165,5 +165,9 @@ connection-types: - hook-class-name: airflow.providers.databricks.hooks.databricks.DatabricksHook connection-type: databricks +plugins: + - name: databricks_workflow + plugin-class: airflow.providers.databricks.plugins.databricks_workflow.DatabricksWorkflowPlugin + extra-links: - 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z{Dt-M=cX@oEdA&*5T^jm!s#6UaX==nNdsIYeZrg2f6>zoXI!+!&p5*AwSO}xh99`7 zbsg6#Z&xe6e?h*hU$xuh?&Ct1JHe_GkN<~_&rSVbaepxWDSe2_5Q1Vgs^>S{pQ5~) KT>0Y{!T$$hvpMGg literal 0 HcmV?d00001 diff --git a/docs/apache-airflow-providers-databricks/index.rst b/docs/apache-airflow-providers-databricks/index.rst index 3358bd8bb106..4e010d643e79 100644 --- a/docs/apache-airflow-providers-databricks/index.rst +++ b/docs/apache-airflow-providers-databricks/index.rst @@ -36,6 +36,7 @@ Connection types Operators + Plugins .. toctree:: :hidden: diff --git a/docs/apache-airflow-providers-databricks/plugins/index.rst b/docs/apache-airflow-providers-databricks/plugins/index.rst new file mode 100644 index 000000000000..5ddb65f6f3b3 --- /dev/null +++ b/docs/apache-airflow-providers-databricks/plugins/index.rst @@ -0,0 +1,28 @@ + .. 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. + + + +Databricks Plugins +================== + + +.. toctree:: + :maxdepth: 1 + :glob: + + * diff --git a/docs/apache-airflow-providers-databricks/plugins/workflow.rst b/docs/apache-airflow-providers-databricks/plugins/workflow.rst new file mode 100644 index 000000000000..22acd0559679 --- /dev/null +++ b/docs/apache-airflow-providers-databricks/plugins/workflow.rst @@ -0,0 +1,60 @@ + .. 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. + +.. _howto/plugin:DatabricksWorkflowPlugin: + + +DatabricksWorkflowPlugin +======================== + + +Overview +-------- + +The ``DatabricksWorkflowPlugin`` enhances the Airflow UI by providing links for tasks that allow users to view the +Databricks job run in the Databricks workspace. Additionally, it offers links to repair task(s) within the workflow. + +Features +-------- + +- **Task-Level Links**: Within the workflow, each task includes links to the job run and a repair link for the individual task. + +- **Workflow-Level Links**: At the workflow level, for the job launch task, the plugin provides a link to repair all failed tasks and a link to the job run(allows users to monitor the job in the Databricks account) in the Databricks workspace. + +Examples +-------- + +- **Job Run Link and Repair link for Single Task**: + +.. image:: ../img/workflow_plugin_single_task.png + +- **Workflow-Level Links to the job run and to repair all failed tasks**: + +.. image:: ../img/workflow_plugin_launch_task.png + +Notes +----- + +Databricks does not allow repairing jobs with single tasks launched outside the workflow. Hence, for these tasks, only the job run link is provided. + +Usage +----- + +Ideally, installing the provider will also install the plugin, and it should work automatically in your deployment. +However, if custom configurations are preventing the use of plugins, ensure the plugin is properly installed and +configured in your Airflow environment to utilize its features. The plugin will automatically detect Databricks jobs, +as the links are embedded in the relevant operators. diff --git a/generated/provider_dependencies.json b/generated/provider_dependencies.json index cc71970041c5..ff28f15d802d 100644 --- a/generated/provider_dependencies.json +++ b/generated/provider_dependencies.json @@ -435,7 +435,12 @@ "devel-deps": [ "deltalake>=0.12.0" ], - "plugins": [], + "plugins": [ + { + "name": "databricks_workflow", + "plugin-class": "airflow.providers.databricks.plugins.databricks_workflow.DatabricksWorkflowPlugin" + } + ], "cross-providers-deps": [ "common.sql" ], diff --git a/tests/plugins/test_plugins_manager.py b/tests/plugins/test_plugins_manager.py index b60a9de17999..a8962b1a6179 100644 --- a/tests/plugins/test_plugins_manager.py +++ b/tests/plugins/test_plugins_manager.py @@ -414,7 +414,7 @@ def test_does_not_double_import_entrypoint_provider_plugins(self): assert len(plugins_manager.plugins) == 0 plugins_manager.load_entrypoint_plugins() plugins_manager.load_providers_plugins() - assert len(plugins_manager.plugins) == 2 + assert len(plugins_manager.plugins) == 3 class TestPluginsDirectorySource: diff --git a/tests/providers/databricks/plugins/__init__.py b/tests/providers/databricks/plugins/__init__.py new file mode 100644 index 000000000000..13a83393a912 --- /dev/null +++ b/tests/providers/databricks/plugins/__init__.py @@ -0,0 +1,16 @@ +# 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. diff --git a/tests/providers/databricks/plugins/test_databricks_workflow.py b/tests/providers/databricks/plugins/test_databricks_workflow.py new file mode 100644 index 000000000000..550b28bc196b --- /dev/null +++ b/tests/providers/databricks/plugins/test_databricks_workflow.py @@ -0,0 +1,261 @@ +# 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. + +from __future__ import annotations + +from unittest.mock import MagicMock, Mock, patch + +import pytest +from flask import request + +from airflow.exceptions import AirflowException +from airflow.models.dagrun import DagRun +from airflow.models.taskinstance import TaskInstanceKey +from airflow.plugins_manager import AirflowPlugin +from airflow.providers.databricks.plugins.databricks_workflow import ( + DatabricksWorkflowPlugin, + RepairDatabricksTasks, + WorkflowJobRepairSingleTaskLink, + WorkflowJobRunLink, + _get_dagrun, + _get_databricks_task_id, + _get_launch_task_key, + _repair_task, + get_databricks_task_ids, + get_launch_task_id, + get_task_instance, +) +from airflow.utils.dates import days_ago +from airflow.www.app import create_app + +DAG_ID = "test_dag" +TASK_ID = "test_task" +RUN_ID = "test_run_1" +DAG_RUN_DATE = days_ago(1) +TASK_INSTANCE_KEY = TaskInstanceKey(dag_id=DAG_ID, task_id=TASK_ID, run_id=RUN_ID, try_number=1) +DATABRICKS_CONN_ID = "databricks_default" +DATABRICKS_RUN_ID = 12345 +GROUP_ID = "test_group" +TASK_MAP = { + "task1": MagicMock(dag_id=DAG_ID, task_id="task1"), + "task2": MagicMock(dag_id=DAG_ID, task_id="task2"), +} +LOG = MagicMock() + + +@pytest.mark.parametrize( + "task, expected_id", + [ + (MagicMock(dag_id="dag1", task_id="task.1"), "dag1__task__1"), + (MagicMock(dag_id="dag2", task_id="task_1"), "dag2__task_1"), + ], +) +def test_get_databricks_task_id(task, expected_id): + result = _get_databricks_task_id(task) + + assert result == expected_id + + +def test_get_databricks_task_ids(): + result = get_databricks_task_ids(GROUP_ID, TASK_MAP, LOG) + + expected_ids = ["test_dag__task1", "test_dag__task2"] + assert result == expected_ids + + +def test_get_dagrun(): + session = MagicMock() + dag = MagicMock(dag_id=DAG_ID) + session.query.return_value.filter.return_value.first.return_value = DagRun() + + result = _get_dagrun(dag, RUN_ID, session=session) + + assert isinstance(result, DagRun) + + +@patch("airflow.providers.databricks.plugins.databricks_workflow.DatabricksHook") +def test_repair_task(mock_databricks_hook): + mock_hook_instance = mock_databricks_hook.return_value + mock_hook_instance.get_latest_repair_id.return_value = 100 + mock_hook_instance.repair_run.return_value = 200 + + tasks_to_repair = ["task1", "task2"] + result = _repair_task(DATABRICKS_CONN_ID, DATABRICKS_RUN_ID, tasks_to_repair, LOG) + + assert result == 200 + mock_hook_instance.get_latest_repair_id.assert_called_once_with(DATABRICKS_RUN_ID) + mock_hook_instance.repair_run.assert_called_once() + + +def test_get_launch_task_id_no_launch_task(): + task_group = MagicMock(get_child_by_label=MagicMock(side_effect=KeyError)) + task_group.parent_group = None + + with pytest.raises(AirflowException): + get_launch_task_id(task_group) + + +def test_get_launch_task_key(): + result = _get_launch_task_key(TASK_INSTANCE_KEY, "launch_task") + + assert isinstance(result, TaskInstanceKey) + assert result.dag_id == TASK_INSTANCE_KEY.dag_id + assert result.task_id == "launch_task" + assert result.run_id == TASK_INSTANCE_KEY.run_id + + +@pytest.fixture(scope="session") +def app(): + app = create_app(testing=True) + app.config["SERVER_NAME"] = "localhost" + + with app.app_context(): + yield app + + +def test_repair_databricks_tasks(app): + with app.test_request_context("/"): + view = RepairDatabricksTasks() + request_values = { + "databricks_conn_id": "conn_id", + "databricks_run_id": "run_id", + "run_id": "run_id", + "dag_id": "dag_id", + "tasks_to_repair": "task1,task2", + } + + with patch( + "airflow.providers.databricks.plugins.databricks_workflow._repair_task" + ) as mock_repair_task, patch( + "airflow.providers.databricks.plugins.databricks_workflow._clear_task_instances" + ) as mock_clear_task_instances, patch( + "airflow.providers.databricks.plugins.databricks_workflow.flash" + ) as mock_flash, patch( + "airflow.providers.databricks.plugins.databricks_workflow.redirect" + ) as mock_redirect: + request.values = request_values + + _ = view.repair() + + mock_repair_task.assert_called_once() + mock_clear_task_instances.assert_called_once() + mock_flash.assert_called_once() + mock_redirect.assert_called_once() + + +def test_get_task_instance(app): + with app.app_context(): + operator = Mock() + operator.dag.dag_id = "dag_id" + operator.task_id = "task_id" + dttm = "2022-01-01T00:00:00Z" + session = Mock() + dag_run = Mock() + session.query().filter().one_or_none.return_value = dag_run + + with patch( + "airflow.providers.databricks.plugins.databricks_workflow.DagRun.find", return_value=[dag_run] + ): + result = get_task_instance(operator, dttm, session) + assert result == dag_run + + +def test_workflow_job_run_link(app): + with app.app_context(): + link = WorkflowJobRunLink() + operator = Mock() + ti_key = Mock() + ti_key.dag_id = "dag_id" + ti_key.task_id = "task_id" + ti_key.run_id = "run_id" + ti_key.try_number = 1 + + with patch( + "airflow.providers.databricks.plugins.databricks_workflow.get_task_instance" + ) as mock_get_task_instance: + with patch( + "airflow.providers.databricks.plugins.databricks_workflow.get_xcom_result" + ) as mock_get_xcom_result: + with patch( + "airflow.providers.databricks.plugins.databricks_workflow.airflow_app.dag_bag.get_dag" + ) as mock_get_dag: + mock_connection = Mock() + mock_connection.extra_dejson = {"host": "mockhost"} + + with patch( + "airflow.providers.databricks.hooks.databricks.DatabricksHook.get_connection", + return_value=mock_connection, + ): + mock_get_task_instance.return_value = Mock(key=ti_key) + mock_get_xcom_result.return_value = Mock(conn_id="conn_id", run_id=1, job_id=1) + mock_get_dag.return_value.get_task = Mock(return_value=Mock(task_id="task_id")) + + result = link.get_link(operator, ti_key=ti_key) + assert "https://mockhost/#job/1/run/1" in result + + +def test_workflow_job_repair_single_failed_link(app): + with app.app_context(): + link = WorkflowJobRepairSingleTaskLink() + operator = Mock() + operator.task_group = Mock() + operator.task_group.group_id = "group_id" + operator.task_group.get_child_by_label = Mock() + ti_key = Mock() + ti_key.dag_id = "dag_id" + ti_key.task_id = "task_id" + ti_key.run_id = "run_id" + ti_key.try_number = 1 + + with patch( + "airflow.providers.databricks.plugins.databricks_workflow.get_task_instance" + ) as mock_get_task_instance: + with patch( + "airflow.providers.databricks.plugins.databricks_workflow.get_xcom_result" + ) as mock_get_xcom_result: + with patch( + "airflow.providers.databricks.plugins.databricks_workflow.airflow_app.dag_bag.get_dag" + ) as mock_get_dag: + mock_get_task_instance.return_value = Mock(key=ti_key) + mock_get_xcom_result.return_value = Mock(conn_id="conn_id", run_id=1) + mock_get_dag.return_value.get_task = Mock(return_value=Mock(task_id="task_id")) + + result = link.get_link(operator, ti_key=ti_key) + assert result.startswith("http://localhost/repair_databricks_job") + + +@pytest.fixture +def plugin(): + return DatabricksWorkflowPlugin() + + +def test_plugin_is_airflow_plugin(plugin): + assert isinstance(plugin, AirflowPlugin) + + +def test_operator_extra_links(plugin): + for link in plugin.operator_extra_links: + assert hasattr(link, "get_link") + + +def test_appbuilder_views(plugin): + assert plugin.appbuilder_views is not None + assert len(plugin.appbuilder_views) == 1 + + repair_view = plugin.appbuilder_views[0]["view"] + assert isinstance(repair_view, RepairDatabricksTasks) + assert repair_view.default_view == "repair"