[ML] Ensure that anomaly detection job state update retries if master node is temoporarily unavailable #129391
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elasticsearchmachine
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Pinging @elastic/ml-core (Team:ML) |
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Hi @valeriy42, I've created a changelog YAML for you. |
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This was referenced Jun 13, 2025
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Jun 13, 2025
… node is temoporarily unavailable (elastic#129391) During cluster upgrade, the anomaly detection jobs must be reassigned from one ML node to another. During this reassignment, the jobs transition through several states, including "opening" and "opened". If, during this transition, the master node becomes temporarily unavailable, e.g., due to reassignment, the new job state is not successfully committed to the cluster state. Therefore, once the new master became available, the cluster state was inconsistent: some anomaly detection jobs were opened, but their state got stuck as "opening". This PR introduces a retryable action for updating the job state to ensure that the job state is successfully updated and the cluster state remains consistent during the upgrade. Fixes elastic#126148
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Jun 13, 2025
… node is temoporarily unavailable (elastic#129391) During cluster upgrade, the anomaly detection jobs must be reassigned from one ML node to another. During this reassignment, the jobs transition through several states, including "opening" and "opened". If, during this transition, the master node becomes temporarily unavailable, e.g., due to reassignment, the new job state is not successfully committed to the cluster state. Therefore, once the new master became available, the cluster state was inconsistent: some anomaly detection jobs were opened, but their state got stuck as "opening". This PR introduces a retryable action for updating the job state to ensure that the job state is successfully updated and the cluster state remains consistent during the upgrade. Fixes elastic#126148
valeriy42
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Jun 13, 2025
… node is temoporarily unavailable (elastic#129391) During cluster upgrade, the anomaly detection jobs must be reassigned from one ML node to another. During this reassignment, the jobs transition through several states, including "opening" and "opened". If, during this transition, the master node becomes temporarily unavailable, e.g., due to reassignment, the new job state is not successfully committed to the cluster state. Therefore, once the new master became available, the cluster state was inconsistent: some anomaly detection jobs were opened, but their state got stuck as "opening". This PR introduces a retryable action for updating the job state to ensure that the job state is successfully updated and the cluster state remains consistent during the upgrade. Fixes elastic#126148
💚 All backports created successfully
Questions ?Please refer to the Backport tool documentation |
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Jun 16, 2025
… node is temoporarily unavailable (elastic#129391) During cluster upgrade, the anomaly detection jobs must be reassigned from one ML node to another. During this reassignment, the jobs transition through several states, including "opening" and "opened". If, during this transition, the master node becomes temporarily unavailable, e.g., due to reassignment, the new job state is not successfully committed to the cluster state. Therefore, once the new master became available, the cluster state was inconsistent: some anomaly detection jobs were opened, but their state got stuck as "opening". This PR introduces a retryable action for updating the job state to ensure that the job state is successfully updated and the cluster state remains consistent during the upgrade. Fixes elastic#126148 (cherry picked from commit d487eb5)
elasticsearchmachine
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that referenced
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Jun 16, 2025
… node is temoporarily unavailable (#129391) (#129402) During cluster upgrade, the anomaly detection jobs must be reassigned from one ML node to another. During this reassignment, the jobs transition through several states, including "opening" and "opened". If, during this transition, the master node becomes temporarily unavailable, e.g., due to reassignment, the new job state is not successfully committed to the cluster state. Therefore, once the new master became available, the cluster state was inconsistent: some anomaly detection jobs were opened, but their state got stuck as "opening". This PR introduces a retryable action for updating the job state to ensure that the job state is successfully updated and the cluster state remains consistent during the upgrade. Fixes #126148
elasticsearchmachine
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that referenced
this pull request
Jun 16, 2025
… node is temoporarily unavailable (#129391) (#129461) During cluster upgrade, the anomaly detection jobs must be reassigned from one ML node to another. During this reassignment, the jobs transition through several states, including "opening" and "opened". If, during this transition, the master node becomes temporarily unavailable, e.g., due to reassignment, the new job state is not successfully committed to the cluster state. Therefore, once the new master became available, the cluster state was inconsistent: some anomaly detection jobs were opened, but their state got stuck as "opening". This PR introduces a retryable action for updating the job state to ensure that the job state is successfully updated and the cluster state remains consistent during the upgrade. Fixes #126148 (cherry picked from commit d487eb5)
elasticsearchmachine
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that referenced
this pull request
Jun 16, 2025
… node is temoporarily unavailable (#129391) (#129401) During cluster upgrade, the anomaly detection jobs must be reassigned from one ML node to another. During this reassignment, the jobs transition through several states, including "opening" and "opened". If, during this transition, the master node becomes temporarily unavailable, e.g., due to reassignment, the new job state is not successfully committed to the cluster state. Therefore, once the new master became available, the cluster state was inconsistent: some anomaly detection jobs were opened, but their state got stuck as "opening". This PR introduces a retryable action for updating the job state to ensure that the job state is successfully updated and the cluster state remains consistent during the upgrade. Fixes #126148
elasticsearchmachine
pushed a commit
that referenced
this pull request
Jun 16, 2025
… node is temoporarily unavailable (#129391) (#129403) During cluster upgrade, the anomaly detection jobs must be reassigned from one ML node to another. During this reassignment, the jobs transition through several states, including "opening" and "opened". If, during this transition, the master node becomes temporarily unavailable, e.g., due to reassignment, the new job state is not successfully committed to the cluster state. Therefore, once the new master became available, the cluster state was inconsistent: some anomaly detection jobs were opened, but their state got stuck as "opening". This PR introduces a retryable action for updating the job state to ensure that the job state is successfully updated and the cluster state remains consistent during the upgrade. Fixes #126148
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During cluster upgrade, the anomaly detection jobs must be reassigned from one ML node to another. During this reassignment, the jobs transition through several states, including "opening" and "opened". If, during this transition, the master node becomes temporarily unavailable, e.g., due to reassignment, the new job state is not successfully committed to the cluster state. Therefore, once the new master became available, the cluster state was inconsistent: some anomaly detection jobs were opened, but their state got stuck as "opening".
This PR introduces a retryable action for updating the job state to ensure that the job state is successfully updated and the cluster state remains consistent during the upgrade.
Fixes #126148