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Apache Airflow version Other Airflow 2 version (please specify below) What happened If a task gets scheduled on a different worker host from a previous run, logs from that previous run will be unavailable from the webserver. nkcairflow02...
This is often denoted in the Airflows DAG paradigm, which creates a graph where you can easily outline which tasks depend on what. Add into that the ability to track said tasks in a UI and rerun them at the failure point (rather than running the entire pipeline), and I do believe it ...
Tracking task status When a task fails once that doesn’t necessarily mean there’s a big problem. So, it’s very common for DevOps or DataOps to configure their Airflow environments to rerun the task when that happens. The problem with that: you need to know whether that task has cross...
Clear and rerun all the failed tasks that actually need to run. Run all the late tasks that actually need to run. There are no hard and fast rules for how to do this. You have to think of it in terms of your data needs. Here are a few examples to give you an idea in the cont...
self.delay_on_limit_secs = delay_on_limit_secs self.verbose = verbose self.conf = conf self.rerun_failed_tasks = rerun_failed_tasks super(BackfillJob, self).__init__(*args, **kwargs) def _update_counters(self, ti_status): """ Updates the counters per state of the tasks that ...
The change aims to unify the format of all options that refer to objects in the airflow.cfg file. Custom executors is loaded using full import path In previous versions of Airflow it was possible to use plugins to load custom executors. It is still possible, but the configuration has chang...
The change aims to unify the format of all options that refer to objects in the airflow.cfg file. Custom executors is loaded using full import path In previous versions of Airflow it was possible to use plugins to load custom executors. It is still possible, but the configuration has chang...