Airflow get current task instance. py I have from airflow import DAG from air.

Airflow get current task instance get_previous_dagrun (self, state = None, session Task instances store the state of a task instance. Hope this helps. How to use xCom in airflow dag file using python operator? 0. 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. taskinstance. ti = context['task_instance'] for t in ti. class task_instance = kwargs['task_instance'] task_instance. dag_instance = airflow. task_instance_scheduling_decisions (self, session: Session = None) . The execution_date is the logical date and time which the DAG Run, and its task instances, are running for. Database transactions on this table should Airflow tasks are expected to be static or slowly changing. Each task instance is associated with a particular DAG and a specific execution time, known as the logical date or execution date. class 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. 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. description (str | None) – The description for the DAG to e. task_id}, url: {t. python import get_current_context @dag( schedule_interval=None, start_date=datetime(2021, 1, from the current DAG run you can access to the task instance and look up for the previous task in success state. I run airflow on Kubernetes (so don't want a solution involving CLI commands, everything should be doable via the GUI ideally. dag – DAG object Is it possible to somehow extract task instance object for upstream tasks from context passed to python_callable in PythonOperator. From Airflow documentation. session (Session) -- Sqlalchemy ORM Session. 4 and looking to find the status of the prior task run (Task Run, not Task Instance and not Dag Run). Also, in general everything else works. session – current session. 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. 6-airflow-1. The returned list may contain exactly num task instances. Obtain list of failed TaskInstances (you can modify this to add filters like dag_id and start_date). I just wanted to see if there was a more Airflow native way to do it. This method To retrieve task instance information, you can use SQL queries against the metadata database. get_dagrun() does not return instance of DAGRun when running test of a single task from CLI. get_task_instances(state=TaskInstanceState. The raise AirflowSkipException needs to be inlined Most of airflow's operators use a Hook class to complete the work. but i need the time where a particular task is started and ended in airflow. 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. There is some precondition logic that will throw an AirflowSkipException in a number of situations (including timeframe of day and other context airflow. get_dag The function _get_previous_ti() returns the previous task instance, which is the same task, but from the previous task 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. 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. api. This proved to be simple after banging my head for a hour or so - being a newbie in Airflow, I still confuse between the Task and the TaskInstance, but anyway here's the recipe:. dag. The one unfortunate problem is that context['ti']. Create SSH connection to AWS ec2 instance in Airflow. schedule (ScheduleArg) – Defines the rules according to which DAG runs are scheduled. ). Since each Task Instance belongs to a process group, functions in that process group should be able to share information. clear_task_instances (tis, session, activate_dag_runs = None, dag = None, dag_run_state: Union [str, Literal [False]] = State. The docs of _get_unique_task_id states:. 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). xcom_pull() function documentation). be shown on the webserver. In the effect, manual testing of that single task will fail but the standard run will work as expected. TaskInstanceStateType [source] ¶ class airflow. But my new question is: Can I use the parameter from the dag_run on a def when using **kwargs? 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 Visit the blog Is there a way to obtain the dag_id from a DAG in Airflow from within one of its tasks in Python? My purpose is to delete a table (that has been created with the same name of the dag) inside a Task. operators. That's trivially achieved by templating the execution_date value:. state import State ti = TaskInstance(task_id=your_task_id, dag_id=your_task_id, execution_date=execution_date) prev_task_success_state = get_task_instances (self, state = None, session = None) [source] ¶ Returns the task instances for this dag run. It just sits there. We can get the list of failed tasks by using passed context only. xcom_pull(dag_id = 'cf_test',task_ids='get_config_val',key='http_con_id') }}" to the operator you expect it to be replaced during runtime with the value stored in Xcom by previous task but in fact Airflow consider it just as a regular string this is also what the exception tells you. This could be used, for instance, to modify the task instance during retries. orm. However, I am not sure how to get the state of the Task_1. decorators import task from airflow. get_previous_dagrun (self, state=None, session=None 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 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. session. This works fine UNTIL the run_terminate_instance - somehow Airflow is not able to get the arguments correctly - it takes arguments from all instances at once (as one Added in Airflow 2. The SqlAlchemy model doesn't have a SqlAlchemy foreign key to the task or dag model deliberately to have more control over transactions. The following code always send {"try_number": "1"} as POST data. info(f'failed dag: {t. 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. 11. You should change your workflow design or elaborate the use case here. task_id -- the task id. get_task_instances() you get all the TaskInstance objects. This table is the authority and single source of truth around what tasks have run and the state File location or directory from which to look for the dag. 2. utils. Second, and Here is the solution I find for it from the stack overflow answer. step_adder = EmrAddStepsOperator( task_id='add_steps', job_flow_id="{{ task_instance. I suspect the issue here in TaskInstance() model but not the custom code logic enclosed in task_status_check() function. Try it out! Update: 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. Currently, I see in airflow/utils/state. BaseTIDep ) ) – The context-specific dependencies that need to be evaluated for a task instance to run in this execution context. Now we are planning to implement apache airflow for our all Data Pipe-line scenarios . The trick is using the airflow. The context is always provided now, making available task, current community. You can access execution_date in any template as a datetime object using the execution_date variable. execution_date, reverse=True) return dag_runs[0] if dag_runs I have implemented logic to check if the previous task execution date - current execution date =1, then terminate the cluster and create a new one. 1 is on a remote server, thus im ssh'ing onto the server. task I am trying to execute a Airflow script that consists of a couple of Python functions. class task_instance = task_context['ti'] task_id = task_instance. Sign Subtask: NameError: name 'task_instance' is not defined I am using BranchPythonOperator and I want to check if the preceding task Task_1 is a success, and if a success return Task_2 and if fail return Task_3. max_tries if TYPE_CHECKING: assert task_instance. – Pramod. The task must be cleared in order to be run. xcom_pull Using the @task allows to dynamically generate task_id by calling the decorated function. 7. python import get_current_context @task def my_task(): context = get_current_context() ti = context["ti"] date = context["execution_date"] Docs here. task_ids (list[unicode]) – A list of valid task IDs for the given DAG Clears a set of task instances, but makes sure the running ones get killed. I want to create a function to get parameters [ such as task_id ] for each Task Instance. try_number inside task_instance doesn't help either, as pokes don't count as a new try number class airflow. Parameters. Session 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 In order to achieve that, I have the Timings(HHMM) stored in the Airflow variable and I have used the datetime. class airflow The upstream task id's are generated via loop such as task_1, task_2. get_task_instance('start'). 10. This includes logs, task duration, and the ability to perform actions such as retrying failed tasks. models import BaseOperator def 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. get_task_instance(task_id=task_name) with While executing the following python script using cloud-composer, I get *** Task instance did not exist in the DB under the gcs2bq task Log in Airflow Code:. airflow; Share. from pendulum import Pendulum from typing import List, Dict, Any, Optional from airflow. 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. You are looking for the upstream task ids and it should be possible to get these via upstream_list or upstream_list_task_ids. pod_mutation_hook (pod) [source] ¶ Mutate pod before scheduling. Apparently, the XCom thing isn't working, because pushed XComs don't seem to be available between pokes; they always return undefined. Asking for help, clarification, or responding to other answers. Airflow stores task instance information in its metadata database. py. 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 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. session-- current session. ti_deps. dag-- DAG object. 2 Thanks xxx = To fix your problem you can try: from airflow. 这里只要抛出一个airflow无法识别的错误，则就会进行错误处理。如果不再重试，则标志失败。如果成功的话，并且设置了on_success_callback，会调用callback，然后保存成功状态到数据库中。 class TaskInstance (Base, LoggingMixin): """ Task instances store the state of a task instance. class Module Contents¶ airflow. But I have no idea why it is in removed state. Is there some jinja/kwarg/context macro i can use? I didn't see any example to get dagrun start_date (not exec date). settings. In the first case (supplying to the DAG), there is no 'exception' in the context (the argument Airflow calls your on_failure_callback with). FAILED): # type: TaskInstance logging. get_task_instance (task_id, session = NEW_SESSION, *, map_index =-1) [source] ¶ Returns the task instance specified by task_id for this dag run. Clicking on a task instance within a DAG provides detailed context. common. I. Airflow already has code for clearing tasks that may offer a helpful starting point. and set up a DAG task to utilize it. get_records method (i am returning a small amount of kines - usually a single cell). I am capable of retrieving the job_flow_id from the operator but when I am going to create the steps to submit to the cluster, the task_instance value is I am trying to get my head around dynamic task mapping. g. This is useful if the different instances of a task X alter the same asset, and this asset is used by tasks downstream of task X. activate_dag_runs-- flag to check for active dag run. Database transactions on this table should This might help. TaskInstance] [source] ¶ Get num task instances before (including) base_date. context. get_task_instance (self, task_id: str, session: Session = None) [source] ¶ Returns the task instance specified by task_id for this dag run. bash_operator import In my task_archive_s3_file, I need to get the filename from get_s3_file. models import DagRun def get_most_recent_dag_run(dag_id): dag_runs = DagRun. so now I have this task in the dag: check_last_run_date=SnowflakeGetDataOperator( task_id='check_last_run_date', When we do a dagrun, on the Airflow UI, in the "Graph View" we get details of each job run. 1. Here is a simplified version of my setup: Module Contents¶ airflow. (There is a long discussion in the Github repo about "making the concept less nebulous". get_template_context(session=session) dag_id = ctx["dag"]. operators import dataproc_operator from airflow. airflow. 0. For the skipped task it will be success: $ airflow task_state a_dag dummy3 '2020-06-12T21 Here's an untested code snippet that should help you. session – ORM session. 4. DAG. – I have a PythonOperator task in Airflow that outputs e. 15. use_it() except You can pull XCOM values from another dag, by passing in the dag_id to xcom_pull() (see the task_instance. Meta Stack Overflow the code that you are using won't get executed by Airflow as you are putting it at the DAG level. Provide details and share your research! But avoid . get_dagrun(). 5. ''' print(kwargs) for ti in kwargs['dag']. JobID is something like "scheduled__2017-04-11T10:47:00". 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 I’ll add a little to @dukarc answer - setting a note for a specific TaskInstance using session context manager:. This allows task instances to process data for the desired logical date & time. activate_dag_runs-- Deprecated parameter, do not pass. bash_operator This is an old question, but I am answering it because the accepted answer did not work for me. deps. ’ Each Airflow Task Need help to extract the list of all tasks along with their current status [Success/Failed] for the current dag run. In the template, you can use any jinja2 methods to manipulate it. dag_id run_id = get_task_instances (self, state = None, session = None) [source] ¶ Returns the task instances for this dag run. utils import State from airflow. class TaskInstance (Base, LoggingMixin): """ Task instances store the state of a task instance. As I said above, if I try to run airflow test on the specific task it works. dag_id – The id of the DAG; must consist exclusively of alphanumeric characters, dashes, dots and underscores (all ASCII). Generate unique task id given a DAG (or if run in a DAG context) Ids are generated by appending airflow. {{ dag_run. property dag_id (self) → str [source] ¶ property task_id Do note however that with this property, you only get immediate (upstream / downstream) neighbour(s) of a task. contrib. Recall that Airflow process files are simply Python, and provided you don't introduce too much overhead during their parsing (since Airflow parses the files frequently, and that overhead can add up), you can use everything Python can do. import datetime import os import csv import pandas as pd import pip from airflow import models #from airflow. If you can create your own PythonOperator and try/catch the exceptions you want to avoid and throw the exceptions you want to trigger the retry it will comply with airflow architecture seamlessly: # python operator function def my_operation(): try: hook = SomeHook() hook. find(dag_id=dag_id) dag_runs. Using the following as your BashOperator bash_command string: # pass in the first of the current month 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. A Task is the basic unit of execution in Airflow. this I am calculating that constant on another DAGs runtime and saving them on variable and on current DAG reading the value from that variable. experimental import get_task_instance execution_date = context['execution_date'] - timedelta(0) task_instance = Module Contents¶ airflow. execution_date, reverse=True) dag_run = dag_runs_sorted[0] task_run = dag_run. 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 In a task instance X of DAGR 1 I want to get xcom value of task instance Y. You can query the task_instance table and find an entry of task in it. e. Returns. It's really hard to understand why you want to create tasks like that as you did not explain your use case but if you need dynamic execution_date¶. It actually try to search You can leverage SQLAlchemy magic for retrieving execution_dates against last 'n' successfull runs. get_dag t = BashOperator( task_id='try_number_test', bash_command='echo "{{ task_instance. But 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. db import provide_session 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. models import TaskInstance from airflow. The executor will re-run it. Understanding and controlling these states is crucial for robust workflow execution. 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 I found this solution which (kinda) uses the underlying database but you dont have to create a sqlalchemy connection directly to use it. class Managing the state of tasks is a fundamental aspect of Apache Airflow. dag_id (unicode) – ID of the DAG to get the task concurrency of. Retrieving Task Instance Status. from typing import List, Set from queue import Queue from airflow. 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 airflow. Alternatively, you could configure on_success_callback and on_failure_callback on your DAG, which executes a given callable. Returns the task instances for this dag run. dagrun. try_number <= task_instance. For that while exploring the features not able to find unique_id for each Task Instances/Dag . Ask Question Asked 1 year, 10 months ago. The SqlAlchemy model doesn't have a SqlAlchemy foreign key to the task or dag model deliberately to Before I started having this trouble, after a cleared a task instance, it would always very quickly get picked up and executed again. dag_id}, task: {t. Meta Stack Overflow your communities . I have a task with a python operator which executes at the end of the workflow. dag_run_state-- state to set DagRun to. There are three basic kinds of Task: Operators, predefined task templates that you can string together quickly to build most parts of your DAGs. xcom_pull(task_ids='Task1') or in a template like so: Airflow, get current status of a task in current dag run-1. Note that depends_on I'm trying to find a way to reference task group by it's id. Airflow - How to get Im using Airflow 1. The UI also allows customization of operator appearance, including background color (ui_color), label color (ui_fgcolor), and display name (custom The task instance for the start_date is allowed to run. provision_pause = PythonOperator( task_id='pause_for_provisioning', python_callable=pause_for_provisioning, provide_context=True ) and then plumb that into the pipeline where the pause is required. TISchedulingDecision get_task_instances (self, state: Optional [Iterable Tuple containing tis that can be scheduled in the current loop & callback that needs to be executed. taskinstance import TaskInstance def last_execution_date( dag_id: str, task_id: In Airflow, I'm facing the issue that I need to pass the job_flow_id to one of my emr-steps. I have created an operator SnowflakeGetDataOperator that returns the snowflake hook. Session) → List [airflow. You can create a custom Airflow does not provide any way to find whether task has run or not outside the given dag run. task_n. 0. More generally, if you just want each task to alert success or failure, put code in there at the very end that alerts on success, and then in your task declaration put the keyword on_failure_callback=my_func, where my_func is the function you want to run on failure. datetime, num: int, *, session: sqlalchemy. state import State from airflow. Each task instance is associated with a particular DAG and a specific execution time, known as the A bit more involved @task. Here's an example query to retrieve the start and end times for a specific class TaskInstance (Base, LoggingMixin): """ Task instances store the state of a task instance. from airflow import XComArg task = MyOperator(task_id="source") downstream Documentation on the nature of context is pretty sparse at the moment. First, replace your params parameter to op_kwargs and remove the extra curly brackets for Jinja -- only 2 on either side of the expression. Task instances in Apache Airflow represent a specific execution of a task within a DAG run. So my question is how can i get the JobID within the same dag that is being run. . start_date }} which uses the start date of the first task (DummyOperator task with task_id: start). Improve this question. dag_id-- ID of the DAG to get the task concurrency of. py:95} INFO - Exporting the following env vars: AIRFLOW_CTX_DAG_ID=email_operator_with_log_attachment_example AIRFLOW_CTX_EXECUTION_DATE=2019-02-28T21:32:51. Airflow failed to get task instance. from airflow. get_previous_dagrun (self, state=None, session=None Module Contents¶ airflow. session-- ORM session. The BashOperator's bash_command argument is a template. In particular for your case I recommend returning a nested function (closure) for your callback:Put this in a file adjacent 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. external_python decorator allows you to run an Airflow task in pre-defined, immutable virtualenv (or Python binary installed at system level without virtualenv). Click on the failed task in the Tree or Graph views and then click on Clear. get_task_instance (self, task_id, session=None) [source] ¶ Returns the task instance specified by task_id for this dag run. Jinja-templated args for an operator can only be used for those fields that are listed as template_fields in the operator class. task_id – the task id. ['instance-id', 128. To retrieve the current state of a task, you can use the following query: SELECT state FROM task_instances WHERE task_id = 'your_task_id' AND execution_date I set-up a new airflow server on the latest version (2. First, we get the next execution date: $ airflow next_execution a_dag 2020-06-12T21:00:00+00:00 Then we mark dummy3 as succeeded for this execution date: $ airflow run -fAIim a_dag dummy3 '2020-06-12T21:00:00+00:00' To be sure, we can check the task state. Maybe also class TaskInstance (Base, LoggingMixin): """ Task instances store the state of a task instance. I did this: kwargs['task_instance']. Defaults to ' [AIRFLOW_HOME]/dags' where [AIRFLOW_HOME] is the value you set for 'AIRFLOW_HOME' config you set in 'airflow. db import create_session def rerun_dag_task(dag_name, task_name): dag_runs = DagRun. Airflow, get current status of a task in current dag run. Stack Overflow help chat. I am using the Snowflake database. I’m trying to pass the ti (Task Instance) context to an external Python task in Airflow so that I can use xcom_pull and xcom_push within the external task. 16. cfg' By calling dag. Apparently, the Templates Reference is If we increase number of dynamic task they will not be process to the end when the next task starts executing its job - it will not wait for success of parent tasks because doesn't know about them - it will learn after airflow The task_1 and task_2 are part of my_group and my_another_group so using the TaskInstance(task,execution_date). , DAG MorningWorkflow runs a 9:00am, and task ConditionalTask is in that dag. RUNNING) [source] ¶ Clears a set of task instances, but makes sure the running ones get killed. Instead I got from DAGR 3. The following code block is an example of accessing a task_instance object from its task: Returns SQLAlchemy filter to query selected task instances. We could get the status of the particular task details like current_state, execution_date and more and also it can be called from anywhere may it be another function or same function no problem but note if you call the task current_state within current community. 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. Modified 1 year, There are multiple ways to get the most recent execution of a DagRun. : If it were me I would write my own Python script which interfaces with Airflow by loading up its models (airflow. xcom_pull(task_ids='Y') I expected to get value of xcom from task instance Y in DAGR 1. But a custom script would be required and seems a hacked approach. py I have from airflow import DAG from air Returns the task instances for this dag run. Here is the current code: from airflow import DAG from airflow. Used to send data between processes via Queues. 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 before it runs. This is useful if the different instances of a task X alter the same asset, and this asset is used by tasks I want to add my own status to the list of task's statuses available out of the box. from typing import List, Optional from airflow. 1. xcom_pull(register_schemas_{name}. All the files are on the remote server. This passes in arguments Task Instance Context. How to get list of the tasks running within airflow dag. 357255+00:00 I have checked the instance details, and the state is: Task is in the 'removed' state which is not a valid state for execution. Airflow - Run airflow. If set to False, dagrun state will not be changed. Task instances have states that indicate their current status in the lifecycle, such as 'queued', 'running', 'success I see from the log the following info: [2019-02-28 16:33:14,766] {python_operator. models. TaskInstance), and database connection airflow. tis-- a list of task instances. log_url}') 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 I propose an answer in addition to Elad's, if you have custom treatments to apply on the value retrieved from the previous task using xcom. I have tried adding a "name" parameter to the task group and then referencing this with an f string but the template isn't rendering and the sensor is running with the job ID set to the text of the template string rather than the xcom value job_id=f"{{ task_instance. taskinstance import TaskInstance from airflow. Context) → None [source] ¶ Sets the current execution context to the provided context object. Airflow version: 1. I am new to airflow . SimpleTaskInstance (ti: TaskInstance) [source] ¶ Simplified Task Instance. states-- A list of states to filter by Module Contents¶ 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. I need to create pretty simple workflow but I am unable to figure out how to pass arguments between different tasks. I am trying to send parameter to an airflow task in order to identify the last execution. python import get_current I'm running composer-1. e. Each task instance within a workflow can be in various states, such as queued, running, success, failed, or skipped. activate_dag_runs – flag to check for active dag run. python import get_current_context class exampleClass(): def A task-instance’s task-specific dependencies are met (e. Thanks Okay, So I have faced the same problem when I wanted to report the task that failed to an external system. I To elaborate a bit on @cosbor11's answer. now() variable to get the current HHMM and creates a list of previous runs. 6. – Daniel Huang. get_task_instance (self, task_id, session = None) [source] ¶ Returns the task instance specified by task_id for this dag run. So if your email-task is the last task in your DAG, that automatically means all previous tasks have succeeded. Clearing a task instance creates a record of the task instance. When I searched most of the solutions ended up in macros and template . Database transactions on this table should airflow. clear_task_instances (tis, session, activate_dag_runs = None, dag = None, dag_run_state: Union [DagRunState, Literal [False]] = DagRunState. airflow. set_current_context (context: airflow. Also sets Dagrun’s state to QUEUED and start_date to 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. Can I use a TriggerDagRunOperator to pass a parameter to the triggered dag? Airflow from a previous question I know that I can send parameter using a TriggerDagRunOperator. class I am trying to setup dynamic sequence etl jobs that will use XCOM to get data from the first task that runs. Module Contents¶ airflow. dag_run_state-- state to Allow altering task instances before being queued by the Airflow scheduler. When you define my_func, give it a positional argument called context. session import create_session def set_note(ti: TaskInstance, note:str): with create_session() as session: ctx = ti. In the second case (supplying to a task), there is. class airflow. I was really expecting the task_instance object to be available in some fashion, either be default or configuration but each variation that has worked elsewhere (filesensor, pythonOperator, etc) hasn't worked, and been unable to google a solution for the magic words to make it accessible. I am trying to run EMR through Airflow and found example where it says. the previous task instance completed successfully) Parameters deps ( set ( airflow. dag – DAG object. Otherwise, skip the execution of the EMR creation task. The task simply prints {{ ti. task_instance (airflow. 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. session (sqlalchemy. QUEUED) [source] ¶ Clears a set of task instances, but makes sure the running ones get killed. Can accept cron string, timedelta object, Timetable, or list of Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. This table is the authority and single source of truth around what tasks have run and the state they are in. Thanks,Chetan Tasks¶. class TaskInstanceState(str, Enum): REMOVED = "removed" # Task vanished from DAG before it ran SCHEDULED = "scheduled" # Task should run and will be handed to executor soon # Set by the task instance itself QUEUED = "queued" When I create multiple Task instances, can I obtain the information of the currently executed Task Instance, such as task_id. def get_failed_upstream_tasks(): # We need both the current run and the Using task flow, let's say I have: from airflow. models import TaskInstance. task_ids-- A list of valid task IDs for the given DAG. But as the Airflow dag gets validated everytime, it picks up the latest date and time and it generates new previous task list based on that. session – current session Module Contents¶ airflow. policies. The solution was to use: {{ dag_run. property dag_id (self) → str [source] ¶ property task_id I'm working with Airflow 2. But, I'm seeing a weird scenario where the DAG execution is getting marked as a success but no task is being executed!!! An on_failure_callback can be supplied to the DAG and/or individual tasks. In my company for ETL pipeline currently we are using Crontab and custom Scheduler(developed in-house) . find(dag_id=dag_name) dag_runs_sorted = sorted(dag_runs, key=lambda dr: dr. start_date }} changes if the DAG run fails and some tasks are retried. get_group('group_id') I know how to get task instance with get_task('task_id') method, but strangely there is no way I could find to do the same with Thank you @subram. 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. get_dag (self) [source] ¶ Returns the Dag associated with this DagRun. Returns SQLAlchemy filter to query selected task instances. 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. The contained object should be a python Exception. ) I have some task and want to inject a variable to the command manually only. session (Session) – Sqlalchemy ORM Session. With variables it might look like: get_task_instances (state = None, session = NEW_SESSION) [source] ¶ Returns the task instances for this dag run. 33] and in the downstream task I reference this task' output using dynamic task mapping by expand and I reference the @Programmer120 I had similar case where I need to create an operator instance in a loop. It's surprisingly non-intuitive to get something like a stack I am new to Python and new to Airflow. This works as long as you triggered the subdag using the same execution date as your current DAG. The approach uses the Airflow task object extracted from the key-word arguments supplied by Airflow during a DAG run. Session, locating the failed tasks and then clearing them through the script. tis – a list of task instances. So you could do something like: You can access the execution context with get_current_context method: from airflow. In my dag. I need this JobID for tracking and log creation in which I maintain time each task/dagrun took. QUEUED) [source] ¶ Clear a set of task instances, but make sure the running ones get killed. get_last_dagrun (dag_id, Simple utility method to set dependency between two tasks that already have been added to the DAG using add_task() get_task_instances (self, Clears a set of task instances associated with the current dag for a specified date range. 1) i added one of the example dags and when I go in the Task Instance Context Menu I am missing the run button Is it an issue at the airflow So when you pass "{{ task_instance. something like: dag. xcom_pull(task_ids= To push or pull, you need access to the TaskInstance object of the current run, which is only available through context. sort(key=lambda x: x. base_ti_dep. The responsibility of this task airflow. class First of all, I'm using VScode and airflow 2. One way is to make use of the Airflow DagRun model. If xcom_pull is passed a single string for task_ids, then the most recent XCom value from Accessing Airflow context variables from TaskFlow tasks¶ While @task decorated tasks don’t support rendering jinja templates passed as arguments, all of the variables listed above can be accessed directly from tasks. 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. TaskInstance) – task instance to be mutated. clear_task_instances (tis, session, activate_dag_runs = None, dag = None, dag_run_state = DagRunState. But now, clearing the task instance usually results in the task instance getting stuck in a cleared state. refresh_schema_connections')['output']['id'] }}" Within my task 'Task_One_Example' I have created an instance of the class 'ExampleClass', this class is initialising using __ init __ to set some variables using the base DAG information (dag_id, run_id) which is then used later within function calls. These functions basically query a database and perform few tasks. For the PythonOperator that is op_args, op_kwargs, and templates_dict. You can retrieve this information using SQL queries against the metadata database. These were once referred to as context and there was an argument to PythonOperator provide_context, but that is deprecated now, I believe. Tasks are arranged into DAGs, and then have upstream and downstream dependencies set between them in order to express the order they should run in. settings import Session from airflow. trigger = TriggerDagRunOperator( Returns the task instances for this dag run. current community. Worse, if I try failing the dag and all instances, and manually triggering the dag By default, every task in Airflow should succeed for a next task to start running. I can achieve this with airflow variables, but the user has to create then reset the variable. My plan is to get the failed task instances of the dag run and check for each the last successful execution date: i have tried to run a simple task using airflow bash operator but keep getting stuck on my DAG never stop running, it stays like green forever without success or fail, when i check the logs i see current community. get_task_instances(): print(ti) email = PythonOperator( Task instances in Apache Airflow represent a specific execution of a task within a DAG run. mfbolck rifwg kchobfev suq klwsha lclpwohi tdkf jvavw spjoq mojfh