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Add EmrServerlessStartSessionOperator to Amazon provider - #70763
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o-nikolas merged 1 commit intoSep 29, 2026
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vgkowski
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Just ran the tests, so we'll see if those go green, otherwise not seeing any glaring issues with this one 👍
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CI is failing |
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@vgkowski Are you planning to have a look or should we close this PR? |
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Please do not close, i'll rework next week |
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@o-nikolas @vincbeck I addressed the comments |
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@vgkowski the tests are still failing |
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EMR Serverless users need an Airflow-native way to start Spark Connect sessions without holding worker slots while AWS provisions the session. Interactive sessions need a newer botocore than the provider's floor, so support is checked at runtime instead of forcing an upgrade on users who do not use sessions. Deferred completion relies only on the trigger event, and the triggerer polls with the task's region, SSL verification and botocore settings, so resuming does not depend on worker-local state or the default client configuration. Dag authors who opt out of waiting get the session identifiers right away in either execution mode.
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fixed CI failures by having the operator pass region_name, verify and botocore_config to EmrServerlessSessionTrigger |
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Awesome work, congrats on your first merged pull request! You are invited to check our Issue Tracker for additional contributions. |
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Introduce the operator (with deferrable mode), its EmrServerlessHook.start_session method, EmrServerlessSessionTrigger, and the serverless_session_ready waiter to start EMR Serverless interactive (Spark Connect) sessions. The hook gates on botocore 1.43.0 at runtime so the provider's dependency floor is unchanged. Includes docs, a system-test example, and unit tests.
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