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avoid race condition in syncup model state refresh and handle NP of I… #2405

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merged 3 commits into from
May 6, 2024
Merged

avoid race condition in syncup model state refresh and handle NP of I… #2405

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b19c415
avoid race condition in syncup model state refresh and handle NP of I…
Zhangxunmt May 3, 2024
6294a96
log the error message from syncUp response
Zhangxunmt May 3, 2024
7ae48a4
include the syncup response error messages as a string to help debug
Zhangxunmt May 4, 2024
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74 changes: 45 additions & 29 deletions plugin/src/main/java/org/opensearch/ml/cluster/MLSyncUpCron.java
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Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,7 @@
import static org.opensearch.ml.common.CommonValue.MASTER_KEY;
import static org.opensearch.ml.common.CommonValue.ML_CONFIG_INDEX;
import static org.opensearch.ml.common.CommonValue.ML_MODEL_INDEX;
import static org.opensearch.ml.utils.RestActionUtils.getAllNodes;

import java.time.Instant;
import java.util.ArrayList;
Expand Down Expand Up @@ -41,8 +42,9 @@
import org.opensearch.ml.common.transport.sync.MLSyncUpInput;
import org.opensearch.ml.common.transport.sync.MLSyncUpNodeResponse;
import org.opensearch.ml.common.transport.sync.MLSyncUpNodesRequest;
import org.opensearch.ml.common.transport.undeploy.MLUndeployModelAction;
import org.opensearch.ml.common.transport.undeploy.MLUndeployModelNodesRequest;
import org.opensearch.ml.common.transport.undeploy.MLUndeployModelNodesResponse;
import org.opensearch.ml.common.transport.undeploy.MLUndeployModelsAction;
import org.opensearch.ml.common.transport.undeploy.MLUndeployModelsRequest;
import org.opensearch.ml.engine.encryptor.Encryptor;
import org.opensearch.ml.engine.indices.MLIndicesHandler;
import org.opensearch.search.SearchHit;
Expand Down Expand Up @@ -97,6 +99,14 @@ public void run() {
// gather running model/tasks on nodes
client.execute(MLSyncUpAction.INSTANCE, gatherInfoRequest, ActionListener.wrap(r -> {
List<MLSyncUpNodeResponse> responses = r.getNodes();
if (r.failures() != null && r.failures().size() != 0) {
log
.debug(
"Received {} failures in the sync up response on nodes. Error messages are {}",
r.failures().size(),
r.failures().stream().map(Exception::getMessage).collect(Collectors.joining(", "))
);
}
// key is model id, value is set of worker node ids
Map<String, Set<String>> modelWorkerNodes = new HashMap<>();
// key is task id, value is set of worker node ids
Expand Down Expand Up @@ -143,7 +153,6 @@ public void run() {
if (modelWorkerNodes.containsKey(modelId)
&& expiredModelToNodes.get(modelId).size() == modelWorkerNodes.get(modelId).size()) {
// this model has expired in all the nodes
modelWorkerNodes.remove(modelId);
modelsToUndeploy.add(modelId);
}
}
Expand All @@ -168,37 +177,44 @@ public void run() {
MLSyncUpInput syncUpInput = inputBuilder.build();
MLSyncUpNodesRequest syncUpRequest = new MLSyncUpNodesRequest(allNodes, syncUpInput);
// sync up running model/tasks on nodes
client
.execute(
MLSyncUpAction.INSTANCE,
syncUpRequest,
ActionListener.wrap(re -> { log.debug("sync model routing job finished"); }, ex -> {
log.error("Failed to sync model routing", ex);
})
);
// Undeploy expired models
undeployExpiredModels(modelsToUndeploy, modelWorkerNodes);
client.execute(MLSyncUpAction.INSTANCE, syncUpRequest, ActionListener.wrap(re -> {
log.debug("sync model routing job finished");
if (!modelsToUndeploy.isEmpty()) {
// Undeploy expired models
undeployExpiredModels(modelsToUndeploy, modelWorkerNodes, deployingModels);
return;
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Why return here ? If we have 10 models, modelsToUndeploy has 4 models. We should also call refreshModelState for the other 6, right?

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The refreshModelState is called in the listener of unDeployModels after the expired models are un-deployed. Check the undeployExpiredModels(), So the modelstate will be refreshed anyways.

}
// refresh model status
mlIndicesHandler
.initModelIndexIfAbsent(ActionListener.wrap(res -> { refreshModelState(modelWorkerNodes, deployingModels); }, e -> {
log.error("Failed to init model index", e);
}));
}, ex -> { log.error("Failed to sync model routing", ex); }));
}, e -> { log.error("Failed to sync model routing", e); }));
}

private void undeployExpiredModels(
Set<String> expiredModels,
Map<String, Set<String>> modelWorkerNodes,
Map<String, Set<String>> deployingModels
) {
String[] targetNodeIds = getAllNodes(clusterService);
MLUndeployModelsRequest mlUndeployModelsRequest = new MLUndeployModelsRequest(
expiredModels.toArray(new String[expiredModels.size()]),
targetNodeIds
);

client.execute(MLUndeployModelsAction.INSTANCE, mlUndeployModelsRequest, ActionListener.wrap(r -> {
MLUndeployModelNodesResponse mlUndeployModelNodesResponse = r.getResponse();
if (mlUndeployModelNodesResponse.failures() != null && mlUndeployModelNodesResponse.failures().size() != 0) {
log.debug("Received failures in undeploying expired models", mlUndeployModelNodesResponse.failures());
}

// refresh model status
mlIndicesHandler
.initModelIndexIfAbsent(ActionListener.wrap(res -> { refreshModelState(modelWorkerNodes, deployingModels); }, e -> {
log.error("Failed to init model index", e);
}));
}, e -> { log.error("Failed to sync model routing", e); }));
}

private void undeployExpiredModels(Set<String> expiredModels, Map<String, Set<String>> modelWorkerNodes) {
expiredModels.forEach(modelId -> {
String[] targetNodeIds = modelWorkerNodes.keySet().toArray(new String[0]);

MLUndeployModelNodesRequest mlUndeployModelNodesRequest = new MLUndeployModelNodesRequest(
targetNodeIds,
new String[] { modelId }
);
client.execute(MLUndeployModelAction.INSTANCE, mlUndeployModelNodesRequest, ActionListener.wrap(r -> {
log.debug("model {} is un_deployed", modelId);
}, e -> { log.error("Failed to undeploy model {}", modelId, e); }));
});
}, e -> { log.error("Failed to undeploy models {}", expiredModels, e); }));
}

@VisibleForTesting
Expand Down
17 changes: 3 additions & 14 deletions plugin/src/main/java/org/opensearch/ml/rest/RestMLUndeployModelAction.java
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Original file line number Diff line number Diff line change
Expand Up @@ -9,16 +9,14 @@
import static org.opensearch.ml.plugin.MachineLearningPlugin.ML_BASE_URI;
import static org.opensearch.ml.settings.MLCommonsSettings.ML_COMMONS_ALLOW_CUSTOM_DEPLOYMENT_PLAN;
import static org.opensearch.ml.utils.RestActionUtils.PARAMETER_MODEL_ID;
import static org.opensearch.ml.utils.RestActionUtils.getAllNodes;

import java.io.IOException;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import java.util.Locale;

import org.apache.commons.lang3.ArrayUtils;
import org.opensearch.client.node.NodeClient;
import org.opensearch.cluster.node.DiscoveryNode;
import org.opensearch.cluster.service.ClusterService;
import org.opensearch.common.settings.Settings;
import org.opensearch.core.xcontent.XContentParser;
Expand Down Expand Up @@ -102,24 +100,15 @@ MLUndeployModelsRequest getRequest(RestRequest request) throws IOException {
}
targetNodeIds = nodeIds;
} else {
targetNodeIds = getAllNodes();
targetNodeIds = getAllNodes(clusterService);
}
if (ArrayUtils.isNotEmpty(modelIds)) {
targetModelIds = modelIds;
}
} else {
targetNodeIds = getAllNodes();
targetNodeIds = getAllNodes(clusterService);
}

return new MLUndeployModelsRequest(targetModelIds, targetNodeIds);
}

private String[] getAllNodes() {
Iterator<DiscoveryNode> iterator = clusterService.state().nodes().iterator();
List<String> nodeIds = new ArrayList<>();
while (iterator.hasNext()) {
nodeIds.add(iterator.next().getId());
}
return nodeIds.toArray(new String[0]);
}
}
2 changes: 1 addition & 1 deletion plugin/src/main/java/org/opensearch/ml/task/MLPredictTaskRunner.java
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Original file line number Diff line number Diff line change
Expand Up @@ -263,7 +263,7 @@ protected void executeTask(MLPredictionTaskRequest request, ActionListener<MLTas
}

private boolean checkModelAutoDeployEnabled(MLModel mlModel) {
if (mlModel.getDeploySetting() == null) {
if (mlModel.getDeploySetting() == null || mlModel.getDeploySetting().getIsAutoDeployEnabled() == null) {
return true;
}
return mlModel.getDeploySetting().getIsAutoDeployEnabled();
Expand Down
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