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org.apache.flink.runtime.healthmanager.plugins.resolvers.NativeMemoryAdjuster Maven / Gradle / Ivy
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.flink.runtime.healthmanager.plugins.resolvers;
import org.apache.flink.annotation.VisibleForTesting;
import org.apache.flink.api.common.JobID;
import org.apache.flink.api.common.operators.ResourceSpec;
import org.apache.flink.runtime.healthmanager.HealthMonitor;
import org.apache.flink.runtime.healthmanager.RestServerClient;
import org.apache.flink.runtime.healthmanager.plugins.Action;
import org.apache.flink.runtime.healthmanager.plugins.Resolver;
import org.apache.flink.runtime.healthmanager.plugins.Symptom;
import org.apache.flink.runtime.healthmanager.plugins.actions.AdjustJobNativeMemory;
import org.apache.flink.runtime.healthmanager.plugins.symptoms.JobStable;
import org.apache.flink.runtime.healthmanager.plugins.symptoms.JobVertexHighNativeMemory;
import org.apache.flink.runtime.healthmanager.plugins.symptoms.JobVertexLowMemory;
import org.apache.flink.runtime.healthmanager.plugins.symptoms.JobVertexTmKilledDueToMemoryExceed;
import org.apache.flink.runtime.healthmanager.plugins.utils.HealthMonitorOptions;
import org.apache.flink.runtime.healthmanager.plugins.utils.MaxResourceLimitUtil;
import org.apache.flink.runtime.jobgraph.JobVertexID;
import org.apache.flink.runtime.rest.messages.checkpoints.CheckpointStatistics;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
/**
* Native Memory adjuster which can resolve vertex native memory overuse.
* If memory overuse detected:
* new_direct_memory = max_among_tasks_of_same_vertex { tm_memory_overuse / num_of_tasks } * ratio + original_direct_memory
*/
public class NativeMemoryAdjuster implements Resolver {
private static final Logger LOGGER = LoggerFactory.getLogger(NativeMemoryAdjuster.class);
private JobID jobID;
private HealthMonitor monitor;
private double scaleUpRatio;
private double scaleDownRatio;
private long timeout;
private long opportunisticActionDelay;
private long stableTime;
private long checkpointIntervalThreshold;
private double maxCpuLimit;
private int maxMemoryLimit;
private Map vertexToScaleUpMaxUtilities;
private long opportunisticActionDelayStart;
private JobStable jobStable;
private JobVertexHighNativeMemory jobVertexHighNativeMemory;
private JobVertexTmKilledDueToMemoryExceed jobVertexTmKilledDueToMemoryExceed;
private JobVertexLowMemory jobVertexLowMemory;
@Override
public void open(HealthMonitor monitor) {
this.monitor = monitor;
this.jobID = monitor.getJobID();
this.scaleUpRatio = monitor.getConfig().getDouble(HealthMonitorOptions.RESOURCE_MEMORY_SCALE_UP_RATIO);
this.scaleDownRatio = monitor.getConfig().getDouble(HealthMonitorOptions.RESOURCE_MEMORY_SCALE_DOWN_RATIO);
this.timeout = monitor.getConfig().getLong(HealthMonitorOptions.RESOURCE_SCALE_TIME_OUT);
this.opportunisticActionDelay = monitor.getConfig().getLong(HealthMonitorOptions.RESOURCE_OPPORTUNISTIC_ACTION_DELAY);
this.stableTime = monitor.getConfig().getLong(HealthMonitorOptions.RESOURCE_SCALE_STABLE_TIME);
this.checkpointIntervalThreshold = monitor.getConfig().getLong(HealthMonitorOptions.PARALLELISM_SCALE_CHECKPOINT_THRESHOLD);
this.maxCpuLimit = MaxResourceLimitUtil.getMaxCpu(monitor.getConfig());
this.maxMemoryLimit = MaxResourceLimitUtil.getMaxMem(monitor.getConfig());
vertexToScaleUpMaxUtilities = new HashMap<>();
opportunisticActionDelayStart = -1;
}
@Override
public void close() {
}
@Override
public Action resolve(List symptomList) {
LOGGER.debug("Start resolving.");
if (opportunisticActionDelayStart < monitor.getJobStartExecutionTime()) {
opportunisticActionDelayStart = -1;
vertexToScaleUpMaxUtilities.clear();
}
if (!diagnose(symptomList)) {
return null;
}
Map targetNative = new HashMap<>();
RestServerClient.JobConfig jobConfig = monitor.getJobConfig();
if (jobVertexLowMemory != null) {
targetNative.putAll(scaleDownVertexNativeMemory(jobConfig));
}
if (jobVertexHighNativeMemory != null || jobVertexTmKilledDueToMemoryExceed != null || vertexToScaleUpMaxUtilities != null) {
targetNative.putAll(scaleUpVertexNativeMemory(jobConfig));
}
if (targetNative.isEmpty()) {
return null;
}
AdjustJobNativeMemory adjustJobNativeMemory = new AdjustJobNativeMemory(jobID, timeout);
for (Map.Entry entry : targetNative.entrySet()) {
JobVertexID vertexID = entry.getKey();
int targetNativeMemory = entry.getValue();
RestServerClient.VertexConfig vertexConfig = jobConfig.getVertexConfigs().get(vertexID);
ResourceSpec currentResource = vertexConfig.getResourceSpec();
ResourceSpec targetResource = new ResourceSpec.Builder(currentResource)
.setNativeMemoryInMB(targetNativeMemory).build();
adjustJobNativeMemory.addVertex(
vertexID, vertexConfig.getParallelism(), vertexConfig.getParallelism(), currentResource, targetResource);
}
if (maxCpuLimit != Double.MAX_VALUE || maxMemoryLimit != Integer.MAX_VALUE) {
RestServerClient.JobConfig targetJobConfig = adjustJobNativeMemory.getAppliedJobConfig(jobConfig);
double targetTotalCpu = targetJobConfig.getJobTotalCpuCores();
int targetTotalMem = targetJobConfig.getJobTotalMemoryMb();
if (targetTotalCpu > maxCpuLimit || targetTotalMem > maxMemoryLimit) {
LOGGER.debug("Give up adjusting: total resource of target job config =<{}, {}> exceed max limit =<{}, {}>.",
targetTotalCpu, targetTotalMem, maxCpuLimit, maxMemoryLimit);
return null;
}
}
adjustJobNativeMemory.exculdeMinorDiffVertices(monitor.getConfig());
if (!adjustJobNativeMemory.isEmpty()) {
long lastCheckpointTime = 0;
try {
CheckpointStatistics completedCheckpointStats = monitor.getRestServerClient().getLatestCheckPointStates(monitor.getJobID());
if (completedCheckpointStats != null) {
lastCheckpointTime = completedCheckpointStats.getLatestAckTimestamp();
}
} catch (Exception e) {
// fail to get checkpoint info.
}
long now = System.currentTimeMillis();
if ((jobVertexHighNativeMemory != null && jobVertexHighNativeMemory.isSevere()) ||
jobVertexTmKilledDueToMemoryExceed != null ||
jobVertexLowMemory != null) {
adjustJobNativeMemory.setActionMode(Action.ActionMode.IMMEDIATE);
} else if (opportunisticActionDelayStart > 0 &&
now - opportunisticActionDelayStart > opportunisticActionDelay &&
now - lastCheckpointTime < checkpointIntervalThreshold) {
LOGGER.debug("Upgrade opportunistic action to immediate action.");
adjustJobNativeMemory.setActionMode(Action.ActionMode.IMMEDIATE);
} else {
if (opportunisticActionDelayStart < 0) {
opportunisticActionDelayStart = now;
}
adjustJobNativeMemory.setActionMode(Action.ActionMode.OPPORTUNISTIC);
}
LOGGER.info("AdjustJobNativeMemory action generated: {}.", adjustJobNativeMemory);
return adjustJobNativeMemory;
}
return null;
}
@VisibleForTesting
public boolean diagnose(List symptomList) {
jobStable = null;
jobVertexHighNativeMemory = null;
jobVertexLowMemory = null;
jobVertexTmKilledDueToMemoryExceed = null;
for (Symptom symptom : symptomList) {
if (symptom instanceof JobStable) {
jobStable = (JobStable) symptom;
continue;
}
if (symptom instanceof JobVertexHighNativeMemory) {
jobVertexHighNativeMemory = (JobVertexHighNativeMemory) symptom;
continue;
}
if (symptom instanceof JobVertexTmKilledDueToMemoryExceed) {
jobVertexTmKilledDueToMemoryExceed = (JobVertexTmKilledDueToMemoryExceed) symptom;
continue;
}
if (symptom instanceof JobVertexLowMemory) {
jobVertexLowMemory = (JobVertexLowMemory) symptom;
}
}
if (jobVertexTmKilledDueToMemoryExceed != null) {
LOGGER.debug("Task manager killed due to memory exceed detected, should rescale.");
return true;
}
if (jobVertexHighNativeMemory != null && jobVertexHighNativeMemory.isCritical()) {
LOGGER.debug("Critical native memory high detected, should rescale.");
return true;
}
if (jobStable == null || jobStable.getStableTime() < stableTime) {
LOGGER.debug("Job unstable, should not rescale.");
return false;
}
if (jobVertexHighNativeMemory == null && jobVertexLowMemory == null) {
LOGGER.debug("No need to rescale.");
return false;
}
return true;
}
@VisibleForTesting
public Map scaleUpVertexNativeMemory(RestServerClient.JobConfig jobConfig) {
if (jobVertexHighNativeMemory != null) {
for (Map.Entry entry : jobVertexHighNativeMemory.getUtilities().entrySet()) {
if (!vertexToScaleUpMaxUtilities.containsKey(entry.getKey()) || vertexToScaleUpMaxUtilities.get(
entry.getKey()) < entry.getValue()) {
vertexToScaleUpMaxUtilities.put(entry.getKey(), entry.getValue());
}
}
}
if (jobVertexTmKilledDueToMemoryExceed != null) {
for (Map.Entry entry : jobVertexTmKilledDueToMemoryExceed.getUtilities().entrySet()) {
if (!vertexToScaleUpMaxUtilities.containsKey(entry.getKey()) || vertexToScaleUpMaxUtilities.get(
entry.getKey()) < entry.getValue()) {
vertexToScaleUpMaxUtilities.put(entry.getKey(), entry.getValue());
}
}
}
Map results = new HashMap<>();
for (JobVertexID jvId : vertexToScaleUpMaxUtilities.keySet()) {
RestServerClient.VertexConfig vertexConfig = jobConfig.getVertexConfigs().get(jvId);
ResourceSpec currentResource = vertexConfig.getResourceSpec();
int targetNativeMemory;
if (currentResource.getNativeMemory() == 0) {
targetNativeMemory = (int) Math.ceil(vertexToScaleUpMaxUtilities.get(jvId) * scaleUpRatio);
} else {
targetNativeMemory = (int) Math.ceil(
currentResource.getNativeMemory() * Math.max(1.0, vertexToScaleUpMaxUtilities.get(jvId)) * scaleUpRatio);
}
results.put(jvId, targetNativeMemory);
LOGGER.debug("Scale up, target native memory for vertex {} is {}.", jvId, targetNativeMemory);
}
return results;
}
@VisibleForTesting
public Map scaleDownVertexNativeMemory(RestServerClient.JobConfig jobConfig) {
if (jobVertexLowMemory == null) {
return Collections.emptyMap();
}
Map results = new HashMap<>();
for (Map.Entry entry : jobVertexLowMemory.getNativeUtilities().entrySet()) {
JobVertexID vertexID = entry.getKey();
double utility = entry.getValue();
RestServerClient.VertexConfig vertexConfig = jobConfig.getVertexConfigs().get(vertexID);
int targetNativeMemory = vertexConfig.getResourceSpec().getNativeMemory();
if (targetNativeMemory == 0) {
targetNativeMemory = 1;
}
targetNativeMemory = (int) Math.ceil(targetNativeMemory * utility * scaleDownRatio);
results.put(vertexID, targetNativeMemory);
LOGGER.debug("Scale down, target native memory for vertex {} is {}.", vertexID, targetNativeMemory);
}
return results;
}
}
