Airflow get current task instance. I'm running composer-1.
Airflow get current task instance I have a task with a python operator which executes at the end of the workflow. xcom_pull(task_ids='Y') I expected to get value of xcom from task instance Y in DAGR 1. activate_dag_runs – flag to check for active dag run. class Allow altering task instances before being queued by the Airflow scheduler. get_dag True - for upstream upstream_tasks: list[BaseOperator] = ti. . dag-- DAG object. Database transactions on this table should The function _get_previous_ti() returns the previous task instance, which is the same task, but from the previous task run. session (sqlalchemy. dag – DAG object Returns SQLAlchemy filter to query selected task instances. {{ dag_run. state import State ti = TaskInstance(task_id=your_task_id, dag_id=your_task_id, execution_date=execution_date) prev_task_success_state = ti. This table is the authority and single source of truth around what tasks have run and the state they are in. The solution was to use: {{ dag_run. Here is the current code: from airflow import DAG from airflow. FROM task_instances. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company . decorators import task from airflow. models import TaskInstance. dag_instance = airflow. models import BaseOperator def 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: Need help to extract the list of all tasks along with their current status [Success/Failed] for the current 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. In order to get all ancestor or descendent tasks, you can quickly cook-up the good old graph theory approach such as this BFS-like implementation. Used to send data between processes via Queues. Meta Stack Overflow but i need the time where a particular task is started and ended in airflow. SimpleTaskInstance (ti: TaskInstance) [source] ¶ Simplified Task Instance. TaskInstance) – task instance to be mutated. python import get_current_context @dag( schedule_interval=None, start_date=datetime(2021, 1, To elaborate a bit on @cosbor11's answer. Try it out! Update: airflow. orm. This could be used, for instance, to modify the task instance during retries. Reload the current dagrun from the database. Instead I got from DAGR 3. Get the number of active dag runs for each dag. Session) – database session. I am trying to setup dynamic sequence etl jobs that will use XCOM to get data from the first task that runs. In a task instance X of DAGR 1 I want to get xcom value of task instance Y. property dag_id (self) → str [source] ¶ property task_id A bit more involved @task. models. For example, to fetch the state of a task instance using the CLI: airflow tasks state <dag_id> airflow. external_python decorator allows you to run an Airflow task in pre-defined, immutable virtualenv (or Python binary installed at system level without virtualenv). Asking for help, clarification, or responding to other answers. a task instance being force run from the UI will ignore some 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. property dag_id (self) → str [source] ¶ property task_id airflow. The responsibility of this task is to return the no of tasks executed with the status. pod_mutation_hook (pod) [source] ¶ Mutate pod before scheduling. xcom_pull(task_ids='my_task', key='the_key') EDIT 1 That looks pretty close to me! Here is a working example in both classic and TaskFlow styles: Classic. activate_dag_runs-- flag to check for active dag run. This virtualenv or system python can also have different set of custom libraries installed and must be made available in all workers that can execute the tasks in the same location. tis – a list of task instances. get_task_instance (self, task_id: str, session: Session = None) [source] ¶ Returns the task instance specified by task_id for this dag run. The upstream task id's are generated via loop such as task_1, task_2. try_number <= task_instance. You are looking for the upstream task ids and it should be possible to get these via upstream_list or upstream_list_task_ids. Other common reasons to access the Airflow context are: To access the attributes of a task instance, you can use the Airflow UI or the Airflow CLI. get_previous_ti(state RESTARTING: # If a task is cleared when running, it goes into RESTARTING state and is always # eligible for retry return True if not getattr (task_instance, "task", None): # Couldn't load the task, don't know number of retries, guess: return task_instance. I just wanted to see if there was a more Airflow native way to do it. common. So you could do something like: current community. TaskInstanceStateType [source] ¶ class airflow. start_date }} which uses the start date of the first task (DummyOperator task with task_id: start). 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 refresh_from_db (session = NEW_SESSION) [source] ¶. from pendulum import datetime from random import choice from airflow import DAG from 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. The context is always provided now, making available task, Is it possible to somehow extract task instance object for upstream tasks from context passed to python_callable in PythonOperator. 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. max_tries if TYPE_CHECKING: assert task_instance. QUEUED) [source] ¶ Clears a set of task instances, but makes sure the running ones get killed. dag_run_state-- state to In individual DAG task, how do I set up the url link with the help from python operator as I am intending to send an url link of the latest log directly to the user whenever errors occur so that th Do note however that with this property, you only get immediate (upstream / downstream) neighbour(s) of a task. class airflow class TaskInstance (Base, LoggingMixin): """ Task instances store the state of a task instance. 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. 6-airflow-1. experimental import get_task_instance execution_date = {{ task_instance. policies. If xcom_pull is passed a single string for task_ids, then the most recent XCom value from from the current DAG run you can access to the task instance and look up for the previous task in success state. classmethod active_runs_of_dags (dag_ids = None, only_running = False, session = NEW_SESSION) [source] ¶. session (Session) – Sqlalchemy ORM Session. classmethod get_task_instance (dag_id, run_id, task_id, map_index, lock_for_update = False, session = NEW_SESSION) [source] ¶ refresh_from_db (session = NEW_SESSION, lock_for_update = False) [source] ¶ Refresh the task instance from the database based on the 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. from typing import List, Set from queue import Queue from airflow. class Returns SQLAlchemy filter to query selected task instances. tis-- a list of task instances. utils. Each task instance is associated with a particular DAG and a specific execution time, known as the You can access the execution context with get_current_context method: from airflow. 15. For a daily scheduled DAG, I want to write a custom on_failure_notification that only sends a notification if a task instance has failed for multiple days sequentially. y2k-shubham from airflow. session – current session t = BashOperator( task_id='try_number_test', bash_command='echo "{{ task_instance. retries So in the tree above where DAG concurrency is 4, Airflow will start task 4 instead of a second instance of task 2? This DAG is a little special because there is no order between the tasks. from airflow. These tasks are independent but related in purpose and therefore kept in one DAG so as to new create an excessive number of single task DAGs. bash_operator This is an old question, but I am answering it because the accepted answer did not work for me. get_task_instances (self, state = None, session = None) [source] ¶ Returns the task instances for this dag run. dag – DAG object. state import State from airflow. Module Contents¶ airflow. clear_task_instances (tis, session, activate_dag_runs = None, dag = None, dag_run_state = DagRunState. operators. Stack Overflow help chat. airflow. task. task_instance (airflow. To retrieve the current state of a task, you can use the following query: SELECT state. g. Parameters. My plan is to get the failed task instances of the dag run and check for each the last successful execution date: Module Contents¶ airflow. api. task_id – the task id. I did this: kwargs['task_instance']. 10. From Airflow documentation. QUEUED) [source] ¶ Clears a set of task instances, but Task instances in Apache Airflow represent a specific execution of a task within a DAG run. task. WHERE task_id = 'your_task_id' AND execution_date = Returns whether or not all the conditions are met for this task instance to be run given the context for the dependencies (e. Using the following as your BashOperator bash_command string: # pass in the first of the current month Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. I'm running composer-1. The approach uses the Airflow task object extracted from the key-word arguments supplied by Airflow during a DAG run. get_task_instance('start'). In the template, you can use any jinja2 methods to manipulate it. 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. 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. These were once referred to as context and there was an argument to PythonOperator provide_context, but that is deprecated now, I believe. classmethod next_dagruns_to_examine airflow. python import get_current_context @task def my_task(): context = get_current_context() ti = context["ti"] date = context["execution_date"] Docs here. You can access execution_date in any template as a datetime object using the execution_date variable. 16. class TaskInstance (Base, LoggingMixin): """ Task instances store the state of a task instance. clear_task_instances (tis, session, activate_dag_runs = None, dag = None, dag_run_state: Union [str, Literal [False]] = State. session – current session. taskinstance. RUNNING) [source] ¶ Clears a set of task instances, but makes sure the running ones get killed. Provide details and share your research! But avoid . task_n. Improve this question. Database transactions on this table should The BashOperator's bash_command argument is a template. taskinstance import TaskInstance from airflow. exceptions import Using task flow, let's say I have: from airflow. session-- current session. start_date }} changes if the DAG run fails and some tasks are retried. airflow; Share. Maybe also this post helps you. Thanks Since the question is becoming bigger I think it is appropriate to add a second answer. Follow edited May 2, 2020 at 16:02. xcom_push(key='the_key', value=my_str) Then later on you can access it like so: task_instance. task return task_instance. session – current session airflow. The SqlAlchemy model doesn't have a SqlAlchemy foreign key to the task or dag model deliberately to have more control over transactions. Immediately runs the task (without checking or changing db state before execution) and then sets the appropriate final state after completion and runs any post-execute callbacks. ucsf xry vwsd ikizxh tred bwhcx amq nimk jokjy hjvzwx