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[ML] indicate overall deployment failure if all node routes are failed #88378

Merged
5 changes: 5 additions & 0 deletions docs/changelog/88378.yaml
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@@ -0,0 +1,5 @@
pr: 88378
summary: Indicate overall deployment failure if all node routes are failed
area: Machine Learning
type: enhancement
issues: []
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Expand Up @@ -13,7 +13,8 @@
public enum AssignmentState {
STARTING,
STARTED,
STOPPING;
STOPPING,
FAILED; // Not persisted, calculated via route states

public static AssignmentState fromString(String value) {
return valueOf(value.toUpperCase(Locale.ROOT));
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Expand Up @@ -519,7 +519,11 @@ public void writeTo(StreamOutput out) throws IOException {
out.writeOptionalVInt(queueCapacity);
out.writeInstant(startTime);
out.writeList(nodeStats);
out.writeOptionalEnum(state);
if (AssignmentState.FAILED.equals(state) && out.getVersion().before(Version.V_8_4_0)) {
out.writeOptionalEnum(AssignmentState.STARTING);
} else {
out.writeOptionalEnum(state);
}
out.writeOptionalString(reason);
out.writeOptionalWriteable(allocationStatus);
}
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Expand Up @@ -20,6 +20,7 @@
import org.elasticsearch.test.SecuritySettingsSourceField;
import org.elasticsearch.test.rest.ESRestTestCase;
import org.elasticsearch.xpack.core.ml.inference.assignment.AllocationStatus;
import org.elasticsearch.xpack.core.ml.inference.assignment.AssignmentState;
import org.elasticsearch.xpack.core.ml.integration.MlRestTestStateCleaner;
import org.elasticsearch.xpack.core.security.authc.support.UsernamePasswordToken;
import org.elasticsearch.xpack.ml.inference.nlp.tokenizers.BertTokenizer;
Expand Down Expand Up @@ -347,6 +348,30 @@ public void testLiveDeploymentStats() throws IOException {
}
}

@SuppressWarnings("unchecked")
public void testFailedDeploymentStats() throws Exception {
String badModel = "bad_model";
String poorlyFormattedModelBase64 = "cG9vcmx5IGZvcm1hdHRlZCBtb2RlbAo=";
int length = Base64.getDecoder().decode(poorlyFormattedModelBase64).length;
createTrainedModel(badModel);
putVocabulary(List.of("once", "twice"), badModel);
Request request = new Request("PUT", "_ml/trained_models/" + badModel + "/definition/0");
request.setJsonEntity("""
{"total_definition_length":%s,"definition": "%s","total_parts": 1}""".formatted(length, poorlyFormattedModelBase64));
client().performRequest(request);
startDeployment(badModel, AllocationStatus.State.STARTING.toString());
assertBusy(() -> {
Response noInferenceCallsStatsResponse = getTrainedModelStats(badModel);
List<Map<String, Object>> stats = (List<Map<String, Object>>) entityAsMap(noInferenceCallsStatsResponse).get(
"trained_model_stats"
);
assertThat(stats, hasSize(1));

String assignmentState = (String) XContentMapValues.extractValue("deployment_stats.state", stats.get(0));
assertThat(assignmentState, equalTo(AssignmentState.FAILED.toString()));
});
}

private void assertAtLeastOneOfTheseIsNotNull(String name, List<Map<String, Object>> nodes) {
assertTrue("all nodes have null value for [" + name + "]", nodes.stream().anyMatch(n -> n.get(name) != null));
}
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Expand Up @@ -143,6 +143,15 @@ protected void doExecute(
TrainedModelAssignment trainedModelAssignment = assignment.getModelAssignment(stats.getModelId());
if (trainedModelAssignment != null) {
stats.setState(trainedModelAssignment.getAssignmentState()).setReason(trainedModelAssignment.getReason().orElse(null));
if (trainedModelAssignment.getNodeRoutingTable()
.values()
.stream()
.allMatch(ri -> ri.getState().equals(RoutingState.FAILED))) {
stats.setState(AssignmentState.FAILED);
if (stats.getReason() == null) {
stats.setReason("All node routes are failed; see node route reason for details");
}
}
if (trainedModelAssignment.getAssignmentState().isAnyOf(AssignmentState.STARTED, AssignmentState.STARTING)) {
stats.setAllocationStatus(trainedModelAssignment.calculateAllocationStatus().orElse(null));
}
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