justinpakzad opened a new pull request, #73512:
URL: https://github.com/apache/airflow/pull/73512

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   ---
   Snowpark container services jobs are often long running jobs and the 
operator polls Snowflake until a terminal status is reached. As per the 
`ResumableJobMixin` documentation this operator is a textbook candidate for 
durable execution. If the worker is restarted or crashed mid-way through, the 
next retry reconnects to the already running SPCS job instead of submitting a 
duplicate. If the job has already completed, then polling is skipped and the 
job finalized. If the prior job had failed or no longer exists, a fresh job is 
submitted. By default the operator now runs in this durable mode. It only 
applies to the synchronous polling path and has no effect with 
`wait_for_completion=False` or `deferrable=True`. 
   
   
   Couple of changes worth mentioning:
   - Both `poll_until_complete` and `get_job_result` can finalize the job 
(check status, fetch logs, and drop the service) depending on the state of the 
job upon reconnect, so a flag was introduced (_poll_until_complete_ran) to 
avoid duplicate finalization. Similar approach to the SnowflakeSqlApiOperator.
   - The status fetch was split into _describe_status which is used by the 
polling loop so Snowflake errors still surface, and get_job_status, which is 
used only for the reconnect decision. `get_job_status` catches an "object does 
not exist" error (errno 2003) and returns a not-found sentinel, so a 
non-existent service resubmits fresh instead of raising. 
   - Since `ResumableJobMixin` only exists on Airflow 3.3+, the operator falls 
back to a stub on older versions so it stays importable and always submits 
fresh (same as the other operators that have durable execution).
   
   
   The existing operator tests were updated for the new methods and new tests 
cover the durable paths. This was also tested end to end against a Snowflake 
instance (please see screenshots in the comment below). A durable section was 
also added to the docs.
   ##### Was generative AI tooling used to co-author this PR?
   
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   - [x] Yes (Claude Opus 4.8)
   
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   ---
   
   * Read the **[Pull Request 
Guidelines](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-guidelines)**
 for more information. Note: commit author/co-author name and email in commits 
become permanently public when merged.
   * For fundamental code changes, an Airflow Improvement Proposal 
([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvement+Proposals))
 is needed.
   * When adding dependency, check compliance with the [ASF 3rd Party License 
Policy](https://www.apache.org/legal/resolved.html#category-x).
   * For significant user-facing changes create newsfragment: 
`{pr_number}.significant.rst`, in 
[airflow-core/newsfragments](https://github.com/apache/airflow/tree/main/airflow-core/newsfragments).
 You can add this file in a follow-up commit after the PR is created so you 
know the PR number.
   


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