All Downloads are FREE. Search and download functionalities are using the official Maven repository.
Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance.
Project price only 1 $
You can buy this project and download/modify it how often you want.
org.apache.flink.runtime.healthmanager.plugins.resolvers.CpuAdjuster 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.AdjustJobCpu;
import org.apache.flink.runtime.healthmanager.plugins.symptoms.JobStable;
import org.apache.flink.runtime.healthmanager.plugins.symptoms.JobVertexFrequentFullGC;
import org.apache.flink.runtime.healthmanager.plugins.symptoms.JobVertexHighCpu;
import org.apache.flink.runtime.healthmanager.plugins.symptoms.JobVertexLongTimeFullGC;
import org.apache.flink.runtime.healthmanager.plugins.symptoms.JobVertexLowCpu;
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;
/**
* CPU adjuster which can resolve vertex cpu high.
* If cpu high detected, increase CPU of corresponding vertices by given ratio.
*/
public class CpuAdjuster implements Resolver {
private static final Logger LOGGER = LoggerFactory.getLogger(CpuAdjuster.class);
private JobID jobID;
private HealthMonitor monitor;
private double scaleUpRatio;
private double scaleDownRatio;
private long timeout;
private long opportunisticActionDelay;
private long stableTime;
private double maxCpuLimit;
private int maxMemoryLimit;
private Map vertexToScaleUpMaxUtility;
private long opportunisticActionDelayStart;
private long checkpointIntervalThreshold;
private JobVertexHighCpu jobVertexHighCpu;
private JobVertexLowCpu jobVertexLowCpu;
private JobStable jobStable;
private JobVertexFrequentFullGC jobVertexFrequentFullGC;
private JobVertexLongTimeFullGC jobVertexLongTimeFullGC;
@Override
public void open(HealthMonitor monitor) {
this.monitor = monitor;
this.jobID = monitor.getJobID();
this.scaleUpRatio = monitor.getConfig().getDouble(HealthMonitorOptions.RESOURCE_CPU_SCALE_UP_RATIO);
this.scaleDownRatio = monitor.getConfig().getDouble(HealthMonitorOptions.RESOURCE_CPU_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());
vertexToScaleUpMaxUtility = new HashMap<>();
opportunisticActionDelayStart = -1;
}
@Override
public void close() {
}
@Override
public Action resolve(List symptomList) {
LOGGER.debug("Start resolving.");
if (opportunisticActionDelayStart < monitor.getJobStartExecutionTime()) {
opportunisticActionDelayStart = -1;
vertexToScaleUpMaxUtility.clear();
}
if (!diagnose(symptomList)) {
return null;
}
Map targetCpu = new HashMap<>();
RestServerClient.JobConfig jobConfig = monitor.getJobConfig();
if (jobVertexLowCpu != null) {
targetCpu.putAll(scaleDownVertexCpu(jobConfig));
}
if (jobVertexHighCpu != null || !vertexToScaleUpMaxUtility.isEmpty()) {
targetCpu.putAll(scaleUpVertexCpu(jobConfig));
}
if (targetCpu.isEmpty()) {
return null;
}
AdjustJobCpu adjustJobCpu = new AdjustJobCpu(jobID, timeout);
for (Map.Entry entry : targetCpu.entrySet()) {
JobVertexID vertexID = entry.getKey();
double target = entry.getValue();
RestServerClient.VertexConfig vertexConfig = jobConfig.getVertexConfigs().get(vertexID);
ResourceSpec currentResource = vertexConfig.getResourceSpec();
ResourceSpec targetResource = new ResourceSpec.Builder(currentResource)
.setCpuCores(target).build();
adjustJobCpu.addVertex(
vertexID, vertexConfig.getParallelism(), vertexConfig.getParallelism(), currentResource, targetResource);
}
if (maxCpuLimit != Double.MAX_VALUE || maxMemoryLimit != Integer.MAX_VALUE) {
RestServerClient.JobConfig targetJobConfig = adjustJobCpu.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;
}
}
adjustJobCpu.exculdeMinorDiffVertices(monitor.getConfig());
if (!adjustJobCpu.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 (jobVertexLowCpu != null) {
adjustJobCpu.setActionMode(Action.ActionMode.IMMEDIATE);
} else if (opportunisticActionDelayStart > 0 &&
now - opportunisticActionDelayStart > opportunisticActionDelay &&
now - lastCheckpointTime < checkpointIntervalThreshold) {
LOGGER.debug("Upgrade opportunistic action to immediate action.");
adjustJobCpu.setActionMode(Action.ActionMode.IMMEDIATE);
} else {
if (opportunisticActionDelayStart < 0) {
opportunisticActionDelayStart = now;
}
adjustJobCpu.setActionMode(Action.ActionMode.OPPORTUNISTIC);
}
LOGGER.info("AdjustJobCpu action generated: {}.", adjustJobCpu);
return adjustJobCpu;
}
return null;
}
@VisibleForTesting
public boolean diagnose(List symptomList) {
jobVertexHighCpu = null;
jobVertexLowCpu = null;
jobStable = null;
jobVertexFrequentFullGC = null;
jobVertexLongTimeFullGC = null;
for (Symptom symptom : symptomList) {
if (symptom instanceof JobStable) {
jobStable = (JobStable) symptom;
continue;
}
if (symptom instanceof JobVertexHighCpu) {
jobVertexHighCpu = (JobVertexHighCpu) symptom;
LOGGER.debug("High cpu detected for vertices with max utilities {}.", jobVertexHighCpu.getUtilities());
continue;
}
if (symptom instanceof JobVertexLowCpu) {
jobVertexLowCpu = (JobVertexLowCpu) symptom;
LOGGER.debug("Low cpu detected for vertices with max utilities {}.", jobVertexLowCpu.getUtilities());
}
if (symptom instanceof JobVertexFrequentFullGC) {
jobVertexFrequentFullGC = (JobVertexFrequentFullGC) symptom;
LOGGER.debug("Frequent full gc detected for vertices {}.", jobVertexFrequentFullGC.getJobVertexIDs());
}
if (symptom instanceof JobVertexLongTimeFullGC) {
jobVertexLongTimeFullGC = (JobVertexLongTimeFullGC) symptom;
LOGGER.debug("Long time full gc detected for vertices {}.", jobVertexLongTimeFullGC.getJobVertexIDs());
}
}
if (jobStable == null || jobStable.getStableTime() < stableTime) {
LOGGER.debug("Job unstable, should not rescale.");
return false;
}
if ((jobVertexFrequentFullGC != null && jobVertexFrequentFullGC.isSevere()) ||
(jobVertexLongTimeFullGC != null && jobVertexLongTimeFullGC.isSevere())) {
LOGGER.debug("GC is severe, should not rescale.");
return false;
}
if (jobVertexHighCpu == null && jobVertexLowCpu == null) {
LOGGER.debug("No need to rescale.");
return false;
}
return true;
}
@VisibleForTesting
public Map scaleUpVertexCpu(RestServerClient.JobConfig jobConfig) {
if (jobVertexHighCpu != null) {
for (Map.Entry entry : jobVertexHighCpu.getUtilities().entrySet()) {
if (!vertexToScaleUpMaxUtility.containsKey(entry.getKey()) || vertexToScaleUpMaxUtility.get(
entry.getKey()) < entry.getValue()) {
vertexToScaleUpMaxUtility.put(entry.getKey(), entry.getValue());
}
}
}
Map results = new HashMap<>();
for (JobVertexID jvId : vertexToScaleUpMaxUtility.keySet()) {
RestServerClient.VertexConfig vertexConfig = jobConfig.getVertexConfigs().get(jvId);
ResourceSpec currentResource = vertexConfig.getResourceSpec();
double utility = vertexToScaleUpMaxUtility.get(jvId);
double targetCpu = currentResource.getCpuCores() * Math.max(1.0, utility) * scaleUpRatio;
results.put(jvId, targetCpu);
LOGGER.debug("Scale up, target cpu for vertex {} is {}.", jvId, targetCpu);
}
return results;
}
@VisibleForTesting
public Map scaleDownVertexCpu(RestServerClient.JobConfig jobConfig) {
if (jobVertexLowCpu == null) {
return Collections.emptyMap();
}
Map results = new HashMap<>();
for (Map.Entry entry : jobVertexLowCpu.getUtilities().entrySet()) {
JobVertexID vertexID = entry.getKey();
double utility = entry.getValue();
RestServerClient.VertexConfig vertexConfig = jobConfig.getVertexConfigs().get(vertexID);
ResourceSpec currentResource = vertexConfig.getResourceSpec();
double targetCpu = currentResource.getCpuCores();
if (targetCpu == 0.0) {
targetCpu = 1.0;
}
targetCpu = targetCpu * utility * scaleDownRatio;
results.put(vertexID, targetCpu);
LOGGER.debug("Scale down, target cpu for vertex {} is {}.", vertexID, targetCpu);
}
return results;
}
}
