Airflow Backfill Regex. 1 introduces Human-in-the-Loop (HITL) functionality that enables

1 introduces Human-in-the-Loop (HITL) functionality that enables workflows to pause and wait for human decision-making. Backfilling an Airflow DAG My personal notes from the book “Data Pipelines with Apache Airflow” by Bas Harenslak and Julian de Ruiter — Chapter 3, Part 5 Introduction This series of posts … Clear a set of task instance, as if they never ran airflow tasks clear dag_id \ --task-regex task_regex \ --start-date START_DATE \ --end-date END_DATE For the specified dag_id and time interval, the command clears all instances of the tasks matching the regex. I've noticed I can just run the task manually using the GUI, but was wondering if there was a way to backfill a certain amount of time only. Mar 19, 2025 · Backfilling in Apache Airflow is a crucial process for running historical data processing tasks. Jan 26, 2021 · Airflow Catchup & Backfill — Demystified In my previous blog, we looked at the basics of Airflow. You may want to backfill the data even in the cases when catchup is disabled. catchup=True (default): All past intervals are scheduled. Backfilling an Airflow DAG My personal notes from the book “Data Pipelines with Apache Airflow” by Bas Harenslak and Julian de Ruiter — Chapter 3, Part 5 Introduction This series of posts … Oct 31, 2017 · 6 As of Airflow version 1. This powerful feature is particularly valuable for AI/ML workflows, content moderation, and approval processes where human judgment is essential. For more options, you can check the help of the clear command : Configuration Reference This page contains the list of all the available Airflow configurations that you can set in airflow. cfg’ Default: “ [AIRFLOW_HOME]/dags” list-runs List DAG runs given a DAG id. We’ll provide step-by-step instructions where processes are involved and include practical examples to illustrate each concept clearly. Oct 20, 2017 · Lets say today is 2017-10-20. What is Airflow®? Apache Airflow® is an open-source platform for developing, scheduling, and monitoring batch-oriented workflows. All dates in Airflow are tied to the data interval concept in some way. Thanks! The only other option I was thinking about was adding a new DAG which starts 2 months ago. This blog will cover some advanced topics. You provide a Dag, a start date, and an end date, and Airflow will create runs in the range according to the Dag’s schedule. If state option is given, it will only search for all the dagruns with the given state. I need to add a task with a start_date of 2017-10-01. Airflow 3. 2) of a DAG run, for example, denotes the start of the data interval, not when the DAG is actually executed. Are these tasks also somehow "backfilled" tasks? Or am I missing something. This can be useful when you Jan 10, 2013 · A data filling DAG is created with start_date 2019-11-21, but another user requires the output data from a month ago i. Oct 6, 2016 · If so, how would I tell airflow not to backfill those tasks? If I run airflow scheduler for a few minutes, then run airflow clear MY_tutorial, then restart airflow scheduler, it seems to run a TON of extra tasks. Mar 22, 2024 · Description One current major limitation on backfills with Airflow is how --ignore-dependencies works when using task_regex, as it also ignores dependencies of the resulting partial dag. Airflow allows missed DAG Runs to be scheduled again Jan 10, 2010 · Run subsections of a DAG for a specified date range. This can be done through CLI. Run subsections of a DAG for a specified date range. 1, successful tasks should not be scheduled by a backfill, see AIRFLOW-1124. If start_date is given, it will filter out all the dagruns that were executed before this date. cfg file or using environment variables. If reset_dag_run option is used, backfill will first prompt users whether airflow should clear all the previous dag_run and task_instances within the backfill date range. E. The “logical date” (also called execution_date in Airflow versions prior to 2. Set the date range, reprocess behavior, max active runs, optional backwards ordering, and Advanced Config. For more options, you can check the help of the clear command : airflow tasks clear dag_id \ --task-regex task_regex \ --start-date START_DATE \ --end-date END_DATE For the specified dag_id and time interval, the command clears all instances of the tasks matching the regex. Note that you can also specify which tasks you want to run in a backfill: -t TASK_REGEX, --task_regex TASK_REGEX The regex to filter specific task_ids to backfill (optional) E. If rerun_failed_tasks is used, backfill will auto re-run the previous failed task instances within the backfill date range. Then the backfill job will go and try to find tasks that match the regex you’ve entered, will not find any obviously and will be stuck in the “running” state together with newly created DagRun forever.

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