Airflow get current task instance.
- Airflow get current task instance db, which tracks DAG runs and task states. dag – DAG object Jul 15, 2024 · When t1 and t2 are instances of BashOperator created, they automatically get a reference to the current DAG via DagContext. 5. For some context (without getting too into the weeds here), I'm trying to instrument our Airflow DAGs with Datadog tracing and I created a decorator to do so. get_task_instance (task_id, session = NEW_SESSION, *, map_index =-1) [source] ¶ Returns the task instance specified by task_id for this dag run. The flow of execution is [task1 , task2] >> task3 Task3 is triggered after T Dec 7, 2022 · Figure 5: The Airflow Browse tab (current as of Airflow 2. utils. clear_task_instances (tis, session, activate_dag_runs = True, dag = None) [source] ¶ Clears a set of task instances, but makes sure the running ones get killed. DagRun object and specifically the find() function which allows you to grab all dags by id between two dates, then pull out the task instances and from there, access the xcoms. In this story, I use Airflow 2. decorators import task from airflow. 2). get_previous_dagrun (self, state=None, session=None Apr 2, 2024 · Airflow, the popular workflow management tool, empowers you to orchestrate complex data pipelines. task_id Attempt 2: Using the task_instance_key_str the task_instance_key_str is a string defined in the docs here my idea here was to parse the task_id from the task_instance_key_str using some regex e. api. Reload to refresh your session. example_3: You can also fetch the task instance context variables from inside a task using airflow. taskinstance import TaskInstance from airflow. Instead, it updates max_tries to 0 and set the current task instance state to be None, this forces the task to re-run. xcom_pull(task_ids='my_task', key='the_key') EDIT 1 Allow altering task instances before being queued by the Airflow scheduler. : Oct 10, 2023 · I want to get the actual start time of the dag (not the logical date (formerly the execution_date)). session Jan 11, 2017 · I am trying to setup dynamic sequence etl jobs that will use XCOM to get data from the first task that runs. models import TaskInstance dag_instance = kwargs [‘dag’] operator_instance = dag_instance. the previous task instance completed successfully) Parameters deps ( set ( airflow. TaskInstance] [source] ¶ Get num task instances before (including) base_date. task_ids (list[unicode]) – A list of valid task IDs for the given DAG static get_num_task_instances (dag_id, task_ids = None, states = None, session = NEW_SESSION) [source] ¶ Returns the number of task instances in the given DAG. This allows task instances to process data for the desired logical date & time. current_state() . 0 引入)编写工作流的更现代、更 Pythonic 的方法。 Returns the task instances for this dag run. current_state Thanks for contributing an answer to Stack Overflow! Aug 18, 2021 · Airflow tasks are expected to be static or slowly changing. datetime, num: int, *, session: sqlalchemy. dag – DAG object airflow. Even after the edit from the comment "I removed the indentation portion of the code" I am still not sure about this bit of code: Dec 7, 2022 · Figure 5: The Airflow Browse tab (current as of Airflow 2. So my question is how can i get the JobID within the same dag that is being run. Sep 16, 2022 · True - for upstream upstream_tasks: list[BaseOperator] = ti. Asking for help, clarification, or responding to other answers. dag-- DAG object. from pendulum import datetime from random import choice from airflow import DAG from airflow. python import get_current_context @task def my_task(): context = get_current_context() ti = context["ti"] date = context["execution_date"] Docs here. Dec 4, 2018 · Can you suggest a way to get current status of a task (other than the one being executed) in the same dag run? from airflow. You are looking for the upstream task ids and it should be possible to get these via upstream_list or upstream_list_task_ids. All possible states that a DagRun can be in. dag_id run_id = ctx["run_id"] ti = ( session airflow. QUEUED) [source] ¶ Clear a set of task instances, but make sure the running ones get killed. dag_instance = kwargs['dag'] operator_instance = dag_instance. In my task_archive_s3_file, I need to get the filename from get_s3_file. task) are deprecated and will be removed in a future Airflow version. dag. On task level it appears that the worker is handling the method execution, while on DAG level it seems the scheduler is handling the method execution. downstream_task_ids: down_task = dag. Mar 17, 2020 · Is it possible to somehow extract task instance object for upstream tasks from context passed to python_callable in PythonOperator. property dag_id (self) → str [source] ¶ property task_id Simple utility method to set dependency between two tasks that already have been added to the DAG using add_task() get_task_instances_before (self, base_date: datetime. get_previous_ti(state Sep 7, 2023 · That works fine if I only need the context directly inside that function, but where this actually popped up in practice was a DAG that used some shared lib functions that used get_current_context, which of course works fine when called from normal tasks but blew up when called from a virtualenv task. Other common reasons to access the Airflow context are: You want to use DAG-level parameters in your Airflow tasks. So if your email-task is the last task in your DAG, that automatically means all previous tasks have succeeded. expand_more A crucial aspect of this orchestration is the ability to share information between Mapped task index-S, --subdir <subdir> File location or directory from which to look for the dag. 在上面的示例中, sum_it 接收到的 values 是 add_one 的每个映射实例返回的所有值的集合。 然而,由于无法事先知道我们将有多少个 add_one 实例, values 不是一个普通的列表,而是一个“惰性序列”,只有在请求时才会检索每个单独的值。 airflow. Is there some jinja/kwarg/context macro i can use? I didn't see any example to get dagrun start_date (not exec date). from airflow. states-- A list of states to filter by 使用 TaskFlow API 编写更 Pythonic 的 DAG¶. session (Session) -- Sqlalchemy ORM Session. task_instance_mutation_hook (task_instance) [source] ¶. By default, a Task will run when all of its upstream (parent) tasks have succeeded, but there are many ways of modifying this behaviour to add branching, only wait for some upstream tasks, or change behaviour based on where the current run is in history. airflow. RUNNING) [source] ¶ Clears a set of task instances, but makes sure the running ones get killed. get_task_instances(): print(ti) email = PythonOperator( task_id='email', python_callable=email_function, provide_context=True ) When any custom Task (Operator) is running, it will get a copy of the task instance passed to it; as well as being able to inspect task metadata, it also contains methods for things like XComs. def clear_task_instances (tis, session, activate_dag_runs = True, dag = None,): """ Clears a set of task instances, but makes sure the running ones get killed. I did this: kwargs['task_instance']. Parameters: task_instance (airflow. For any given Task Instance, there are two types of relationships it has with other instances. DAG, airflow. This works as long as you triggered the subdag using the same execution date as your current DAG. So you could do something like: May 26, 2019 · To elaborate a bit on @cosbor11's answer. state import State from airflow. State. Used to send data between processes via Queues. previous_execution_date_success < days_ago(2)] @hookimpl def on_task_instance_success (previous_state: TaskInstanceState, task_instance: RuntimeTaskInstance | TaskInstance): """ Called when task state changes to SUCCESS. models Initialize the Database: Type airflow db init and press Enter to create the metadata database at ~/airflow/airflow. Clearing a task instance creates a record of the task instance. get_task_instances() you get all the TaskInstance objects. QUEUED) [source] ¶ Clears a set of task instances, but makes sure the running ones get killed. Airflow parse the DAG file every min_file_process_interval (default 30 seconds) - Which means that every 30 seconds you will create a new task - which probably won't even run. definitions. Context) – Context dictionary as passed to execute() airflow. empty import EmptyOperator from airflow. dag – DAG object Feb 9, 2023 · TLDR. Endpoints located under /ui are dedicated to the UI and are subject to breaking change depending on the need of the frontend. Nowadays, we just call it logical_date or ds for short. Aug 22, 2020 · How to get current status of task in airflow? Looks like it is fairly simple: from airflow. get_dag airflow. tis – a list of task instances. May 9, 2022 · To add on what swimmer said: There is a subtle difference between using on_failure_callback on DAG level and on task level. get_task (down_task_id) if not down_task. xcom_pull(task_ids= Subclasses should implement this, running whatever logic is necessary to choose a branch and returning a task_id or list of task_ids. Launch Services: In one terminal, run airflow webserver -p 8080 to start the UI at localhost:8080. May 3, 2018 · {{ task_instance. In a few places in the documentation it's referred to as a "context dictionary" or even an "execution context dictionary", but never really spelled out what that is. This passes in arguments static get_num_task_instances (dag_id, task_ids = None, states = None, session = None) [source] ¶ Returns the number of task instances in the given DAG. user_defined_macros arg Jan 10, 2014 · airflow. Session) – current airflow. SimpleTaskInstance (ti: TaskInstance) [source] ¶ Simplified Task Instance. session-- current session. BaseTIDep ) ) – The context-specific dependencies that need to be evaluated for a task instance to run in this execution context. Some additional utilities and helper functions that DAGs sometimes use from airflow. The docs of _get_unique_task_id states:. static get_num_task_instances (dag_id, task_ids=None, states=None, session=None) [source] ¶ Returns the number of task instances in the given DAG. session – current session Sep 24, 2020 · The function _get_previous_ti() returns the previous task instance, which is the same task, but from the previous task run. If xcom_pull is passed a single string for task_ids, then the most recent XCom value from Templates reference¶. get_task_instance import get_task_instance def get_dag_state(execution_date, **kwargs): ti = get_task_instance('dag_id', 'task_id', execution_date) task_status = ti. session – current session. base_ti_dep. For task, it has given its own task id but for DAG it has given task id for the last successful task instance. airflow info [-h] why a task instance doesn’t get scheduled and then queued by the scheduler, and then def clear_task_instances (tis, session, activate_dag_runs = True, dag = None,): """ Clears a set of task instances, but makes sure the running ones get killed. Nov 16, 2020 · from the current DAG run you can access to the task instance and look up for the previous task in success state. state import State ti = TaskInstance(task_id=your_task_id, dag_id=your_task_id, execution_date=execution_date) prev_task_success_state = ti. The SqlAlchemy model doesn't have a SqlAlchemy foreign key to the task or dag model deliberately to have more control over transactions. This is one of the many parameters that you can reference inside your Airflow task. Feb 13, 2019 · In a task instance X of DAGR 1 I want to get xcom value of task instance Y. decorator. ). Parameters: context (airflow. Only Failed: Clears only failed instances of any task instances selected based on the above options. session-- ORM session. """ def is_effective_leaf (task): for down_task_id in task. For storage of arbitrary notes concerning the dagrun instance. deps. dag – DAG object Sep 28, 2020 · I suspect the issue here in TaskInstance() model but not the custom code logic enclosed in task_status_check() function. get_dag Oct 27, 2020 · It is just to have cleaner code. 3. Share Improve this answer The execution_date is the logical date and time which the DAG Run, and its task instances, are running for. """) load_task = PythonOperator (task_id = 'load', python_callable = load,) load_task. task_ids-- A list of valid task IDs for the given DAG. g. get_task (“task_id”) task_status = TaskInstance (operator_instance, execution_date). session – ORM session. Jun 22, 2022 · Need help to extract the list of all tasks along with their current status [Success/Failed] for the current dag run. :param tis: a list of task instances:param session: current session:param activate_dag_runs: flag to check for active dag run:param dag: DAG object """ job_ids = [] for ti in tis: if ti get_task_instances (self, state = None, session = None) [source] ¶ Returns the task instances for this dag run. ti_deps. get_task_instance passing our desired task_id and its state Args: dag_id (str): The dag_id to check task_id (str): The task_id to check Returns: List - The status of the last dag run for the given dag_id """ last_dag_run = DagRun. Try it out! Update: A task-instance’s task-specific dependencies are met (e. All endpoints located under /api/v2 can be used safely, are stable and backward compatible. The responsibility of this task is to return the no of tasks executed with the status. # run your first task instance airflow tasks test example_bash_operator runme_0 2015-01-01 # run a Airflow API. This could be used, for instance, to modify the task instance during retries. Aug 4, 2021 · I found this solution which (kinda) uses the underlying database but you dont have to create a sqlalchemy connection directly to use it. Session) → List [airflow. This is useful if the different instances of a task X alter the same asset, and this asset is Jan 16, 2024 · from airflow. get_current_context [source] ¶ Oct 7, 2020 · I then want task 7 to update the db table only for rows with timestamp >= the time of the start of the dagrun (not the start time of task 7). These include the Task Instances view, which shows all your task instances for every DAG running in your environment and allows you to make changes to task instances in bulk. Jan 10, 2012 · static get_num_task_instances (dag_id, task_ids = None, states = None, session = None) [source] ¶ Returns the number of task instances in the given DAG. TaskInstance) – 要修改的任务实例. python. How can we get all failure task instances/IDs with their exceptions if possible in the on_failure_callback function for DAG? – class TaskInstance (Base, LoggingMixin): """ Task instances store the state of a task instance. task_ids (list[unicode]) -- A list of valid task IDs for the given DAG Show information about current Airflow and environment. doc_md = dedent ("""\ #### Load task A simple Load task which takes in the result of the Transform task, by reading it from xcom and instead of saving it to end user Jan 10, 2011 · Clearing a task instance doesn’t delete the task instance record. session – current session Aug 8, 2018 · t = BashOperator( task_id='try_number_test', bash_command='echo "{{ task_instance. It can be used implicitly, such as with **kwargs, but can also be used explicitly with get_current_context(). This table is the authority and single source of truth around what tasks have run and the state they are in. 清除一组任务实例,但确保正在运行的任务被杀死。 Jul 14, 2022 · I would like to attach the log-file of an Airflow task to an e-mail that gets sent if the task failed. DagRun. Task Instance Keys; Hooks; Public Airflow utilities; get_task_instances Clear a set of task instances associated with the current dag for a specified date range. 0, the property "upstream_task_id" is remove from BaseOperator, I wonder how can I get the upstream task id now? any suggestions will be greatly appreciated. With that approach, I will have a task t1, which will be an instance of PythonOperator with provide_context=true, which lets me use kwargs['execution_date'] where I will set and return current_datetime = 'execution_date' . The task simply prints {{ ti. task_n. clear_task_instances (tis, session, dag = None, dag_run_state = DagRunState. Click on the failed task in the Tree or Graph views and then click on Clear. find(dag_id=dag_id) last_dag_run Jul 30, 2019 · The task_instance table in airflow stores this information. task_ids (list[unicode]) – A list of valid task IDs for the given DAG May 21, 2020 · The upstream task id's are generated via loop such as task_1, task_2. get_dag (self) [source] ¶ Returns the Dag associated with this DagRun. The task instance for the start_date is allowed to run. Note that you have to default arguments to None. DagRunNote. task_id – the task id. The following come for free out of the box with Airflow. xcom_pull() function documentation). session import create_session def set_note(ti: TaskInstance, note:str): with create_session() as session: ctx = ti. session (sqlalchemy. context. By calling dag. For example, selecting task_instance will get the currently running TaskInstance object. Jan 10, 2014 · get_num_running_task_instances (self, session) ¶ init_run_context (self, raw = False) ¶ Sets the log context. These were once referred to as context and there was an argument to PythonOperator provide_context, but that is deprecated now, I believe. Variables, macros and filters can be used in templates (see the Jinja Templating section). get_task_instances(state=State. This computed value is then put into xcom, so that it can be processed by the next task. python import get_current_context @dag( schedule_interval=None, start_date=datetime(2021, 1, Dec 8, 2022 · Hi all, Since 2. JobID is something like "scheduled__2017-04-11T10:47:00". try_number }}"', dag=dag) Edit: When the task instance is cleared, it will set the max_retry number to be the current try_number + retry value. cfg'-v, --verbose: Make logging output more verbose set_current_context (context). 允许在任务实例被 Airflow 调度器排队之前对其进行修改。 例如,这可以用于在重试期间修改任务实例。 参数: task_instance (airflow. Thanks,Chetan These both do exactly the same thing, but in general we recommend you use the bitshift operators, as they are easier to read in most cases. providers. , scheduled when queued, running during execution, success upon completion, or failed if an error occurs—allowing you to monitor progress, diagnose issues, and enforce dependencies (DAG Dependencies and Task Ordering). There are multiple options you can select to re-run - airflow. task_id -- the task id. 从映射任务传递的值是惰性代理. Session) – current Jan 10, 2015 · My plan is to get the failed task instances of the dag run and check for each the last successful execution date: def my_on_failure_notification(context): failed_tis = context["dag_run"]. models import TaskInstance from airflow. get_task_instances (self, state = None, session = None) [source] ¶ Returns the task instances for this dag run. session. Check which task instances will be cleared with the current settings by expanding the dropdown menu Affected tasks: X. """ print ("Task Aug 13, 2018 · In the second case (supplying to a task), there is. Basically TaskInstance() class offers a variety of Airflow tasks managing features leveraging SQLAlchemy OMR Python tool which performs the query against entire Airflow metadata DB fetching the records from task_instance SQL table, looking through the source code you might Recursive: Clears any task instances of the task in the child DAG and any parent DAGs if you have cross-DAG dependencies. Sep 13, 2018 · Another thing you might keep in mind if you find yourself working with stats like task duration a lot is Airflow's StatsD integration which gathers metrics on Airflow itself at execution time. (There is a long discussion in the Github repo about "making the concept less nebulous". previous_task_state and task_instance object can be used to retrieve more information about current task_instance that has succeeded, its dag_run, task and dag information. You switched accounts on another tab or window. sdk. DAG. dag_id (unicode) -- ID of the DAG to get the task concurrency of. From Airflow documentation. current_state () Thanks for contributing an answer to Stack Overflow! Nov 9, 2021 · I used below code to get the status of a task from another DAG: from airflow. task_id for ti in failed_tis if ti. The use case is that I would like to check status of 2 tasks immediately after branching to check which one ran and which one is skipped so that I can query correct task for return value via xcom. Then I create my task t2: BashOperator: in which I will pull (using XCOM) and use my variables. state import State Oct 24, 2018 · Yes but this does not give the instance of the running task. 9 or above you can use map_index_template variable in your task mapping providing context of your task. wait_for_downstream -- when set to true, an instance of task X will wait for tasks immediately downstream of the previous instance of task X to finish successfully or be skipped before it runs. standard. I need this JobID for tracking and log creation in which I maintain time each task/dagrun took. Alternatively, you could configure on_success_callback and on_failure_callback on your DAG, which executes a given callable. class airflow Jul 4, 2018 · I tried to get context['task'] on both on_failure_callback for Task and DAG. get_task_instance('start'). This feature is a paradigm shift for DAG design in Airflow, since it allows you to create tasks based on the current runtime environment without having to change your DAG code. You can have these metrics go into a push-based system like StatsD itself, or into a pull-based system like Prometheus / Grafana by using statsd_exporter . Type of return for DagRun. TaskInstanceStateType [source] ¶ class airflow. Nov 10, 2023 · We’ll also take a look at some implementation details of using a custom sensor in a dynamically mapped task group. Static class with task instance state constants and color methods to avoid hard-coding. use_airflow_context: # TODO: replace with commented code when context serialization is implemented in AIP-72: raise AirflowException ( "The `use_airflow_context=True` is not yet implemented. pod_mutation_hook . get_task_instance (self, task_id: str, session: Session = None) [source] ¶ Returns the task instance specified by task_id for this dag run. clear_task_instances (tis, session, activate_dag_runs=True, dag=None) [source] ¶ Clears a set of task instances, but makes sure the running ones get killed. Maybe also this post helps you. clear_task_instances (tis, session, activate_dag_runs = None, dag = None, dag_run_state = DagRunState. clear_task_instances (tis, session, activate_dag_runs = None, dag = None, dag_run_state: Union [DagRunState, Literal [False]] = DagRunState. I have many DAGs, each one notifies to Teams with different values for in MsTeamsWebHook operator. airflow. Simple utility method to set dependency between two tasks that already have been added to the DAG using add_task() get_task_instances_before (self, base_date: datetime, num: int, *, session: Session) ¶ Get num task instances before (including) base_date. Session get_task_instances (self, state: Optional [Iterable [TaskInstanceState]] = None, session = None) [source] ¶ Returns the task instances for this dag run. get_current_dag(). Apr 20, 2016 · Thanks. xcom_pull(task_ids='Y') I expected to get value of xcom from task instance Y in DAGR 1. tis-- a list of task instances. Under the Browse tab, there are several additional ways to view your DAGs. , airflow. ''' print(kwargs) for ti in kwargs['dag']. bash_operator get_task_instances (state = None, session = NEW_SESSION) [source] ¶ Returns the task instances for this dag run. We have now explored how Airflow internally assigns tasks to the current DAG. Firstly, it can have upstream and downstream tasks: States indicate the current status of a task instance—e. @task( # optionally, you can set a custom index to display in the UI (Airflow 2. dag – DAG object Jun 30, 2023 · I have a use case wherein we have 3 tasks Task1(BigqueryOperator),Task2(PythonOperator) and Task3(PythonOperator). policies. dag – DAG object 注意. get_previous_dagrun (self, state=None, session=None if self. Returns the task instances for this dag run. May 14, 2021 · You can access the execution context with get_current_context method: from airflow. Feb 28, 2023 · I'm trying to figure out how to get the upstream_task_ids from the Airflow context within a Dynamically Mapped Task and having some trouble doing so. task_instance_scheduling_decisions. session – current session But users may enable such consideration with on_failure_fail_dagrun. While a task_instance or DAG run might have an actual start date of now, their logical date might be 3 months ago because we are busy reloading something. Jun 22, 2022 · Using task flow, let's say I have: from airflow. - TASK Instance:当真正进行调度的过程中,一个TASK真的被执行的实体。 下图是展示一些 dags 历史执行情况,绿色表示成功,红色表示失败,任务执行可以在Web UI 上点击运行dag,也可以通过调用 Airflow 的 API 接口运行指定的 dag 。 Here are a few commands that will trigger a few task instances. With dynamic task mapping, you can write DAGs that dynamically generate parallel tasks at runtime. operators. pod_mutation_hook (pod) [source] ¶ Mutate pod before scheduling. You signed out in another tab or window. doc_md = dedent ("""\ #### Load task A simple Load task which takes in the result of the Transform task, by reading it from xcom and instead of saving it to end user Show information about current Airflow and environment. I need to access the current dag_id, run_id, task_id and I need to reference a variable that's returned by a BashOperator. Mar 22, 2023 · That looks pretty close to me! Here is a working example in both classic and TaskFlow styles: Classic. In this case, the type hint can be used for static analysis. dag – DAG object Pythonic DAGs with the TaskFlow API¶. Jan 31, 2023 · example_2: You explicitly state via arguments you want only dag_run from the task instance context variables. TaskInstance) – task instance to be mutated. on_failure_fail_dagrun: # we found a down task that is not ignorable; not a leaf return False # we found no airflow. get_direct_relatives(True) # Making a set of the upstream tasks can come handy when dealing with many upstream tasks upstream_task_ids = {t. taskinstance. Task Instance Lifecycle Jan 10, 2010 · airflow. Generate unique task id given a DAG (or if run in a DAG context) Ids are generated by appending a unique number to the end of the original task id. Jun 18, 2022 · task_instance = task_context['ti'] task_id = task_instance. is_teardown or down_task. DagRunState. I have a task with a python operator which executes at the end of the workflow. It's surprisingly non-intuitive to get something like a stack trace from that, but from this answer I use the following to get a fairly readable stack trace: import traceback Feb 6, 2023 · Using @TJaniF answer, I made this little reusable failure function task on_failure_send_force_success_mail, this function send a mail with a link to a custom API that call the patch task instance request using a get, it works as expected: Create dynamic Airflow tasks. get_current_context(). Thank you for your suggestion though – TISchedulingDecision. PythonVirtualenvOperator¶ Oct 11, 2021 · Documentation on the nature of context is pretty sparse at the moment. experimental. Also sets Dagrun’s state to QUEUED and start_date to the time of execution. 在第一个教程中,你使用 PythonOperator 等传统 Operator 构建了第一个 Airflow DAG。 现在让我们看看使用 TaskFlow API(Airflow 2. start_date }} which uses the start date of the first task (DummyOperator task with task_id: start). The executor will re-run it. With current solution I have to ling DAG to 2 functions (success and failure) and those functions to the common function in library. Legacy import paths (e. The try_number of the current task instance is incremented, the max_tries set to 0 and the state set to None, which causes the task to re-run. * and others will be progressively migrated to the Task SDK in future minor releases. The trick is using the airflow. 5). Returns. clear_task_instances (tis, session, activate_dag_runs = None, dag = None, dag_run_state: Union [str, Literal [False]] = State. Now let’s look at a more modern and Pythonic way to write workflows using the TaskFlow API — introduced in Airflow 2. Jan 10, 2013 · airflow. The approach uses the Airflow task object extracted from the key-word arguments supplied by Airflow during a DAG run. target_dag. In another, run airflow scheduler to begin scheduling (Installing Airflow (Local, Docker airflow. This ensures that t1 and t2 are registered as tasks in the current DAG without explicitly assigning the DAG to them. xcom_push(key='the_key', value=my_str) Then later on you can access it like so: task_instance. . Apr 11, 2017 · When we do a dagrun, on the Airflow UI, in the "Graph View" we get details of each job run. orm. Invocation instance of a DAG. current_state() return task_status dag_status = BranchPythonOperator( task_id='dag_status', python_callable=get_dag_state, dag=dag ) Mar 2, 2022 · The key difference is that in the return statement, we can directly access the . FAILED) tis_to_notify_about = [ti. xcom_pull(task_ids='Task1') }} If you want to specify a key you can push into XCOM (being inside a task): task_instance = kwargs['task_instance'] task_instance. Jun 15, 2022 · Another tricky variable is execution_date (if you work with Airflow versions prior to 2. 将当前执行上下文设置为提供的上下文对象。 clear_task_instances (tis, session[, dag, dag_run_state]). Thanks States that a Task Instance can be in that indicate it is not yet in a terminal or running state. ’ Each Airflow Task Instances have a follow-up loop that indicates which state the Airflow Task Instance falls upon. @hookimpl def on_task_instance_running (previous_state: TaskInstanceState, task_instance: RuntimeTaskInstance): """ Called when task state changes to RUNNING. 1. TaskInstanceState. dagrun import DagRun def dag_runtime(dag_run, roots) -> int: def node_runtime(task) -> int: # Get the list of downstream tasks children = task. get_task_instance (self, task_id, session=None) [source] ¶ Returns the task instance specified by task_id for this dag run. python import get_current airflow. To rerun a task in Airflow you clear the task status to update the max_tries and current task instance state values in the metastore. the current task and get the task Oct 17, 2022 · In Airflow 2. Where did you get kwargs from? One of the most common values to retrieve from the Airflow context is the ti / task_instance keyword, which allows you to access attributes and methods of the taskinstance object. task_ids (list[unicode]) – A list of valid task IDs for the given DAG Apr 28, 2021 · You can pull XCOM values from another dag, by passing in the dag_id to xcom_pull() (see the task_instance. Parameters. Provide details and share your research! But avoid …. dag_run_state-- state to Returns SQLAlchemy filter to query selected task instances. Here is the current code: from airflow import DAG from airflow. All possible states that a Task Instance can be in. Additional custom macros can be added globally through Plugins, or at a DAG level through the DAG. dag_id-- ID of the DAG to get the task concurrency of. decorators import task from airflow. previous_task_state and task_instance object can be used to retrieve more information about current task_instance that is running, its dag_run, task and dag information. The returned list may contain exactly num task instances. May 30, 2018 · Since the question is becoming bigger I think it is appropriate to add a second answer. common. In the first tutorial, you built your first Airflow DAG using traditional Operators like PythonOperator. Instead I got from DAGR 3. downstream_list # Obtain the Jun 18, 2023 · How can I get the start and end time of the DAG in overall, which includes all the tasks (which is the initial task start time and end time of the last task airflow. activate_dag_runs-- flag to check for active dag run. dag_id (unicode) – ID of the DAG to get the task concurrency of. task. get_template_context(session=session) dag_id = ctx["dag"]. 9+) map_index_template="{{ my_custom_map_index }}" ) def add(x: int, y: int): # get the current context and define the custom map index variable from airflow. After the task reruns, the max_tries value updates to 0, and the current task instance state updates to None. models. get_task("task_id") task_status = TaskInstance(operator_instance, execution_date). Apr 27, 2023 · I’ll add a little to @dukarc answer - setting a note for a specific TaskInstance using session context manager:. static get_num_task_instances (dag_id, task_ids = None, states = None, session = None) [source] ¶ Returns the number of task instances in the given DAG. Jul 6, 2021 · Using the @task allows to dynamically generate task_id by calling the decorated function. May 2, 2020 · Use get_task_instance() utility function to obtain a TaskInstance From TaskInstance object, you can get start_date & end_date As a sidenote, the context / kwargs do contain end_date & END_DATE (nodash-format), but not start_date Nov 3, 2017 · The solution was to use: {{ dag_run. Defaults to '[AIRFLOW_HOME]/dags' where [AIRFLOW_HOME] is the value you set for 'AIRFLOW_HOME' config you set in 'airflow. Airflow DAGs are successful but tasks are not airflow. 0. dag – DAG object Once you have fixed the errors after going through the logs, you can re-run the tasks by clearing them for the scheduled date. python import BranchPythonOperator, PythonOperator from airflow. get current status of a task in current dag run. So something like this: task_n >> branch[task_a, task_b] Is there a way for a branch to access an XCOM set by it's direct upstream? I know I could use op_kwargs and pass the task id to the branch. task_id -- the task id These both do exactly the same thing, but in general we recommend you use the bitshift operators, as they are easier to read in most cases. :param tis: a list of task instances:param session: current session:param activate_dag_runs: flag to check for active dag run:param dag: DAG object """ job_ids = [] for ti in tis: if ti Apr 22, 2024 · You signed in with another tab or window. In the python callable for a simpleHttpOperator response function, I am trying to push an xcom that has combined information from two sources to a specificied key (a hash of the filename/path and an object lookup from a DB) May 9, 2023 · Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. activate_dag_runs – flag to check for active dag run. task_id for t in upstream_tasks} # Then we grab all of the failed task instance in the current run, which will get us tasks that some of Oct 14, 2024 · What are Airflow Task Instances? Airflow Task Instances are defined as a representation for, a specific run of a Task and a categorization with a collection of, ‘a DAG, a task, and a point in time. Jan 13, 2022 · By default, every task in Airflow should succeed for a next task to start running. I just wanted to see if there was a more Airflow native way to do it. By default, a Task will run when all of its upstream (parent) tasks have succeeded, but there are many ways of modifying this behaviour to add branching, to only wait for some upstream tasks, or to change behaviour based on where the current run is in history. task_dict["target_task_id"] gives a new instance of the operator, I need the specific instance of the task connected to the DagRun whose attributes will have different values than a newly instantiated operator of the same variety. tis (list[TaskInstance]) – a list of task instances. The contained object should be a python Exception. models import TaskInstance. exceptions import AirflowFailException from airflow. zifoy xmujh xqj sezz atpp xotxty eadsv uiaql mrvx bpifc