[ML] Use ml.machine_memory as sneaky way to assert ML node#79622
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droberts195 merged 1 commit intoelastic:7.16from Oct 21, 2021
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[ML] Use ml.machine_memory as sneaky way to assert ML node#79622droberts195 merged 1 commit intoelastic:7.16from
droberts195 merged 1 commit intoelastic:7.16from
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The way we detect an ML node from node attributes is now to look for ml.machine_memory instead of ml.max_open_jobs. Relates elastic#79518
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droberts195
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Where possible we should now detect ML nodes by looking for the ML node role rather than an attribute. Sadly this is not possible in the YAML tests, as the syntax doesn't support asserting that a list contains a particular item without asserting on the entire list contents. So in the YAML case we need to look for the ml.machine_memory node attribute, as this is reliably set on ML nodes but not other types of nodes. After elastic#79622 is merged this closes elastic#79518
droberts195
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Oct 21, 2021
Where possible we should now detect ML nodes by looking for the ML node role rather than an attribute. Sadly this is not possible in the YAML tests, as the syntax doesn't support asserting that a list contains a particular item without asserting on the entire list contents. So in the YAML case we need to look for the ml.machine_memory node attribute, as this is reliably set on ML nodes but not other types of nodes. After #79622 is merged this closes #79518
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The way we detect an ML node from node attributes is now
to look for ml.machine_memory instead of ml.max_open_jobs.
Relates #79518