[ML] Move scaling is possible check for starting trained model#90706
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dimitris-athanasiou merged 2 commits intoelastic:mainfrom Oct 6, 2022
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This commit moves the check that scaling is possible when a trained model deployment is started but cannot be fully allocated from the wait-for-started predicated to the assignment cluster service. This makes the check easily reusable.
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davidkyle
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Oct 6, 2022
...va/org/elasticsearch/xpack/ml/inference/assignment/TrainedModelAssignmentClusterService.java
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droberts195
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weizijun
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* main: (150 commits) Remove ToXContent interface from ChunkedToXContent (elastic#90409) Remove extra SearchService constructor (elastic#90733) Update min version for the diagnosis yaml test (elastic#90731) Use the AggTestConfig object in testCase (elastic#90699) [DOCS] Add links to clear trained model deployment cache API (elastic#90727) Assert wildcards are not expanded as specified by request options (elastic#90641) [TEST] Fix exit snapshot restore exit condition (elastic#90696) [TEST] Change to atomic file contents save (elastic#90695) Update forbiddenapis to 3.4 (elastic#90624) [Tests] Don't use concurrent search in scripted field type tests (elastic#90712) [ML] Move scaling is possible check for starting trained model (elastic#90706) Add new base test case for chunked xcontent types (elastic#90707) Fix testRedNoBlockedIndicesAndRedAllRoleNodes (elastic#90671) Fix nullpointer in docs test setup (elastic#90660) Don't produce build logs artifact when in a composite build Fixing a race condition in EnrichCoordinatorProxyAction that can leave an item stuck in its queue (elastic#90688) docs: update fleet/agent pipeline docs (elastic#90659) [HealthAPI] Use plural consistently in resource types (elastic#90682) [Testing] Enable bwc and fix sorting for 500_date_range (elastic#90681) Add profiling and documentation for dfs phase (elastic#90536) ... # Conflicts: # x-pack/plugin/mapper-aggregate-metric/src/test/java/org/elasticsearch/xpack/aggregatemetric/mapper/AggregateDoubleMetricFieldMapperTests.java
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This commit moves the check that scaling is possible when a trained model deployment is started but cannot be fully allocated from the wait-for-started predicated to the assignment cluster service. This makes the check easily reusable.