Revert "[ML] Extra logging for debugging rolling upgrade test failure e…

…lastic#100800" This reverts commit 2ce5392.
davidkyle · Oct 30, 2023 · fe4fba4 · fe4fba4
1 parent 43ed676
commit fe4fba4
Show file tree

Hide file tree

Showing 2 changed files with 1 addition and 12 deletions.
diff --git a/...org/elasticsearch/xpack/ml/inference/assignment/TrainedModelAssignmentClusterService.java b/...org/elasticsearch/xpack/ml/inference/assignment/TrainedModelAssignmentClusterService.java
@@ -164,8 +164,6 @@ public void clusterChanged(ClusterChangedEvent event) {
         }
 
         if (eventStateMinTransportVersionIsBeforeDistributedModelAllocationTransportVersion(event)) {
-            logger.trace("min transport version is before assignment change on " + event.state().nodes().getAllNodes().size() + " nodes");
-
             // we should not try to rebalance assignments while there may be nodes running on a version
             // prior to introducing distributed model allocation.
             // But we should remove routing to removed or shutting down nodes.
@@ -240,7 +238,6 @@ public void onFailure(Exception e) {
     }
 
     private void removeRoutingToRemovedOrShuttingDownNodes(ClusterChangedEvent event) {
-        logger.trace("remove routing to removed or shutting down nodes ");
         if (areAssignedNodesRemoved(event)) {
             submitUnbatchedTask("removing routing entries for removed or shutting down nodes", new ClusterStateUpdateTask() {
                 @Override
@@ -285,7 +282,6 @@ static boolean areAssignedNodesRemoved(ClusterChangedEvent event) {
 
     // Visible for testing
     static ClusterState removeRoutingToUnassignableNodes(ClusterState currentState) {
-        logger.trace("remove routing to unassignable nodes");
         Set<String> assignableNodes = getAssignableNodes(currentState).stream().map(DiscoveryNode::getId).collect(Collectors.toSet());
         TrainedModelAssignmentMetadata metadata = TrainedModelAssignmentMetadata.fromState(currentState);
         TrainedModelAssignmentMetadata.Builder builder = TrainedModelAssignmentMetadata.builder(currentState);
@@ -435,7 +431,6 @@ public void createNewModelAssignment(
     }
 
     public void setModelAssignmentToStopping(String modelId, ActionListener<AcknowledgedResponse> listener) {
-        logger.trace("set to stopping");
         submitUnbatchedTask("set model assignment stopping", new ClusterStateUpdateTask() {
             @Override
             public ClusterState execute(ClusterState currentState) {
@@ -455,7 +450,6 @@ public void clusterStateProcessed(ClusterState oldState, ClusterState newState)
     }
 
     public void removeModelAssignment(String deploymentId, ActionListener<AcknowledgedResponse> listener) {
-        logger.trace("remove model assignments");
         submitUnbatchedTask("delete model deployment assignment", new ClusterStateUpdateTask() {
             @Override
             public ClusterState execute(ClusterState currentState) {
@@ -492,7 +486,6 @@ public void clusterStateProcessed(ClusterState oldState, ClusterState newState)
 
     // Used by the reset action directly
     public void removeAllModelAssignments(ActionListener<AcknowledgedResponse> listener) {
-        logger.trace("remove all assignments");
         submitUnbatchedTask("delete all model assignments", new ClusterStateUpdateTask() {
             @Override
             public ClusterState execute(ClusterState currentState) {
@@ -525,11 +518,9 @@ private static ClusterState forceUpdate(ClusterState currentState, TrainedModelA
         logger.debug(() -> format("updated assignments: %s", modelAssignments.build()));
         Metadata.Builder metadata = Metadata.builder(currentState.metadata());
         if (currentState.getMinTransportVersion().onOrAfter(RENAME_ALLOCATION_TO_ASSIGNMENT_TRANSPORT_VERSION)) {
-            logger.trace("putting custom new name");
             metadata.putCustom(TrainedModelAssignmentMetadata.NAME, modelAssignments.build())
                 .removeCustom(TrainedModelAssignmentMetadata.DEPRECATED_NAME);
         } else {
-            logger.trace("putting custom old name");
             metadata.putCustom(TrainedModelAssignmentMetadata.DEPRECATED_NAME, modelAssignments.buildOld());
         }
         return ClusterState.builder(currentState).metadata(metadata).build();
@@ -625,7 +616,6 @@ ClusterState stopPlatformSpecificModelsInHeterogeneousClusters(
                 modelToAdd.get().getModelId(),
                 mlNodesArchitectures
             );
-            logger.info(reasonToStop);
             updatedState = callSetToStopping(reasonToStop, modelToAdd.get().getDeploymentId(), clusterState);
         }
         return updatedState;

diff --git a/...rolling-upgrade/src/test/java/org/elasticsearch/upgrades/MLModelDeploymentsUpgradeIT.java b/...rolling-upgrade/src/test/java/org/elasticsearch/upgrades/MLModelDeploymentsUpgradeIT.java
@@ -73,7 +73,7 @@ public void setUpLogging() throws IOException {
             {
               "persistent": {
                 "logger.org.elasticsearch.xpack.ml.inference": "TRACE",
-                "logger.org.elasticsearch.xpack.ml.inference.assignments": "TRACE",
+                "logger.org.elasticsearch.xpack.ml.inference.assignments": "DEBUG",
                 "logger.org.elasticsearch.xpack.ml.process": "DEBUG",
                 "logger.org.elasticsearch.xpack.ml.action": "TRACE"
               }
@@ -97,7 +97,6 @@ public void removeLogging() throws IOException {
         client().performRequest(request);
     }
 
-    @AwaitsFix(bugUrl = "mute to try and reproduce https://github.com/elastic/elasticsearch/issues/100379")
     public void testTrainedModelDeployment() throws Exception {
         assumeTrue("NLP model deployments added in 8.0", isOriginalClusterVersionAtLeast(Version.V_8_0_0));