dirrao commented on code in PR #38100:
URL: https://github.com/apache/airflow/pull/38100#discussion_r1522588198
##########
docs/apache-airflow/authoring-and-scheduling/deferring.rst:
##########
@@ -257,3 +257,24 @@ In Airflow, sensors wait for specific conditions to be met
before proceeding wit
| Built-in functionality for rescheduling | Requires custom
logic to defer task and handle |
| | external changes
|
+--------------------------------------------------------+--------------------------------------------------------+
+
+Difference between ``up_for_retry`` and ``deferred`` state
+-------------------------------------------------------------------
+
+In Airflow, operators that's in `up_for_retry` state will still take worker
slots, becasue the process still runs and does ``sleep`` there. Deferral
Operators
+
+In Airflow when a operator is in the ``up_for_retry`` state, it essentially
means the operator is waiting to be retried after a failure, but it does not
release its resources. The process remains alive, keeping its memory, sockets,
and other resources allocated, except for the CPU. The ``deferred`` state,
utilized only by Deferrable Operators, offers a more sophisticated approach to
handling wait conditions. Deferrable Operators serialize and store the task's
state, freeing all resources. When a condition is met, the task is deserialized
and resumes operation, optimizing resource use by not holding onto resources
during wait periods.
+
++--------------------------------------------------------+--------------------------------------------------------+
+| state='up_for_retry' |
state='deferred' |
++========================================================+========================================================+
+| Keeps resources while waiting. | Releases
resources, pauses execution when idle, |
Review Comment:
task state `up_for_retry` is a state where it waits before doing another
attempt. During this wait time, resouces won't be consumed.
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