Basic Airflow concepts¶
![Airflow systems Airflow systems](/uploads/1/3/7/2/137230841/264811358.png)
- Task: a defined unit of work (these are called operators in Airflow)
- Task instance: an individual run of a single task. Task instances also have an indicative state, which could be “running”, “success”, “failed”, “skipped”, “up for retry”, etc.
- DAG: Directed acyclic graph,a set of tasks with explicit execution order, beginning, and end
- DAG run: individual execution/run of a DAG
Airflow Filters
Airflow needs no such crude tricks. Embedded or external, for our playback pipeline it's all the same. All widely used subtitle formats are supported, now including vobsub. Integrated opensubtitles.org search. The Airflow UI makes it easy to monitor and troubleshoot your data pipelines. Here's a quick overview of some of the features and visualizations you can find in the Airflow UI.
![Airflow filters Airflow filters](/uploads/1/3/7/2/137230841/652637050.jpg)
Debunking the DAG
The vertices and edges (the arrows linking the nodes) have an order and direction associated to them
each node in a DAG corresponds to a task, which in turn represents some sort of data processing. For example:
Total Engine Airflow
Node A could be the code for pulling data from an API, node B could be the code for anonymizing the data. Node B could be the code for checking that there are no duplicate records, and so on.
Airflow Dag
These ‘pipelines’ are acyclic since they need a point of completion.
What Is Apache Airflow
Dependencies Twitch lec.
Airflow Github
Each of the vertices has a particular direction that shows the relationship between certain nodes. For example, we can only anonymize data once this has been pulled out from the API.