Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[Backport 2.16] Filter out remote model auto redeployment #3214

Open
wants to merge 1 commit into
base: 2.16
Choose a base branch
from
Open

[Backport 2.16] Filter out remote model auto redeployment #3214

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
24 changes: 13 additions & 11 deletions plugin/src/main/java/org/opensearch/ml/autoredeploy/MLModelAutoReDeployer.java
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,7 @@
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.Queue;
import java.util.concurrent.ConcurrentLinkedQueue;
Expand All @@ -30,6 +31,7 @@
import org.opensearch.core.common.Strings;
import org.opensearch.index.IndexNotFoundException;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.ml.common.FunctionName;
import org.opensearch.ml.common.MLModel;
import org.opensearch.ml.common.model.MLModelState;
import org.opensearch.ml.common.transport.deploy.MLDeployModelAction;
Expand Down Expand Up @@ -257,17 +259,17 @@ private void queryRunningModels(ActionListener<SearchResponse> listener) {
private void triggerModelRedeploy(ModelAutoRedeployArrangement modelAutoRedeployArrangement) {
String modelId = modelAutoRedeployArrangement.getSearchResponse().getId();
List<String> addedNodes = modelAutoRedeployArrangement.getAddedNodes();
List<String> planningWorkerNodes = (List<String>) modelAutoRedeployArrangement
.getSearchResponse()
.getSourceAsMap()
.get(MLModel.PLANNING_WORKER_NODES_FIELD);
Integer autoRedeployRetryTimes = (Integer) modelAutoRedeployArrangement
.getSearchResponse()
.getSourceAsMap()
.get(MLModel.AUTO_REDEPLOY_RETRY_TIMES_FIELD);
Boolean deployToAllNodes = (Boolean) Optional
.ofNullable(modelAutoRedeployArrangement.getSearchResponse().getSourceAsMap().get(MLModel.DEPLOY_TO_ALL_NODES_FIELD))
.orElse(false);
Map<String, Object> sourceAsMap = modelAutoRedeployArrangement.getSearchResponse().getSourceAsMap();
String functionName = (String) Optional
.ofNullable(sourceAsMap.get(MLModel.FUNCTION_NAME_FIELD))
.orElse(sourceAsMap.get(MLModel.ALGORITHM_FIELD));
if (FunctionName.REMOTE == FunctionName.from(functionName)) {
log.info("Skipping redeploying remote model {} as remote model deployment can be done at prediction time.", modelId);
return;
}
List<String> planningWorkerNodes = (List<String>) sourceAsMap.get(MLModel.PLANNING_WORKER_NODES_FIELD);
Integer autoRedeployRetryTimes = (Integer) sourceAsMap.get(MLModel.AUTO_REDEPLOY_RETRY_TIMES_FIELD);
Boolean deployToAllNodes = (Boolean) Optional.ofNullable(sourceAsMap.get(MLModel.DEPLOY_TO_ALL_NODES_FIELD)).orElse(false);
// calculate node ids.
String[] nodeIds = null;
if (deployToAllNodes || !allowCustomDeploymentPlan) {
Expand Down
28 changes: 28 additions & 0 deletions plugin/src/test/java/org/opensearch/ml/autoredeploy/MLModelAutoReDeployerTests.java
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -609,6 +609,34 @@ public void test_redeployAModel_with_needRedeployArray_isEmpty() {
mlModelAutoReDeployer.redeployAModel();
}

public void test_buildAutoReloadArrangement_skippingRemoteModel_success() throws Exception {
Settings settings = Settings
.builder()
.put(ML_COMMONS_ONLY_RUN_ON_ML_NODE.getKey(), true)
.put(ML_COMMONS_MODEL_AUTO_REDEPLOY_LIFETIME_RETRY_TIMES.getKey(), 3)
.put(ML_COMMONS_MODEL_AUTO_REDEPLOY_ENABLE.getKey(), true)
.put(ML_COMMONS_ALLOW_CUSTOM_DEPLOYMENT_PLAN.getKey(), false)
.build();

ClusterService clusterService = mock(ClusterService.class);
when(clusterService.localNode()).thenReturn(localNode);
when(clusterService.getClusterSettings()).thenReturn(getClusterSettings(settings));
mockClusterDataNodes(clusterService);

mlModelAutoReDeployer = spy(
new MLModelAutoReDeployer(clusterService, client, settings, mlModelManager, searchRequestBuilderFactory)
);

SearchResponse searchResponse = buildDeployToAllNodesTrueSearchResponse("RemoteModelResult.json");
doAnswer(invocation -> {
ActionListener<SearchResponse> listener = invocation.getArgument(0);
listener.onResponse(searchResponse);
return null;
}).when(searchRequestBuilder).execute(isA(ActionListener.class));
mlModelAutoReDeployer.buildAutoReloadArrangement(addedNodes, clusterManagerNodeId);
verify(client, never()).execute(any(MLDeployModelAction.class), any(MLDeployModelRequest.class), any(ActionListener.class));
}

private SearchResponse buildDeployToAllNodesTrueSearchResponse(String file) throws Exception {
MLModel mlModel = buildModelWithJsonFile(file);
return createResponseWithModel(mlModel);
Expand Down
20 changes: 20 additions & 0 deletions plugin/src/test/resources/org/opensearch/ml/autoredeploy/RemoteModelResult.json
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,20 @@
{
"last_deployed_time": 1722954415807,
"model_version": "619",
"created_time": 1722954415642,
"deploy_to_all_nodes": true,
"is_hidden": false,
"description": "This is a test model",
"model_state": "DEPLOYED",
"planning_worker_node_count": 1,
"auto_redeploy_retry_times": 0,
"last_updated_time": 1723691017054,
"name": "my sagemaker model",
"connector_id": "z3kVKJEBAfFjoGUT_Ui7",
"current_worker_node_count": 0,
"model_group_id": "MiJPJ5EBQM-QzppeWrTJ",
"planning_worker_nodes": [
"DecGG5pDQYaqelLMLcIV9Q"
],
"algorithm": "REMOTE"
}
Loading