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/*
* 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.detectors;
import org.apache.flink.api.common.JobID;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.configuration.ConfigOption;
import org.apache.flink.configuration.ConfigOptions;
import org.apache.flink.runtime.healthmanager.HealthMonitor;
import org.apache.flink.runtime.healthmanager.RestServerClient;
import org.apache.flink.runtime.healthmanager.metrics.JobTMMetricSubscription;
import org.apache.flink.runtime.healthmanager.metrics.MetricProvider;
import org.apache.flink.runtime.healthmanager.metrics.timeline.TimelineAggType;
import org.apache.flink.runtime.healthmanager.plugins.Detector;
import org.apache.flink.runtime.healthmanager.plugins.Symptom;
import org.apache.flink.runtime.healthmanager.plugins.symptoms.JobVertexHighCpu;
import org.apache.flink.runtime.healthmanager.plugins.utils.HealthMonitorOptions;
import org.apache.flink.runtime.healthmanager.plugins.utils.MetricNames;
import org.apache.flink.runtime.healthmanager.plugins.utils.MetricUtils;
import org.apache.flink.runtime.jobgraph.ExecutionVertexID;
import org.apache.flink.runtime.jobgraph.JobVertexID;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
/**
* HighCpuDetector detects high cpu usage of a job.
* Detects {@link JobVertexHighCpu} if the max avg cpu usage of the TM
* is higher than threshold.
*/
public class HighCpuDetector implements Detector {
private static final Logger LOGGER = LoggerFactory.getLogger(HighCpuDetector.class);
public static final ConfigOption HIGH_CPU_THRESHOLD =
ConfigOptions.key("healthmonitor.high-cpu-detector.threashold").defaultValue(1.0);
public static final ConfigOption HIGH_CPU_SEVERE_THRESHOLD =
ConfigOptions.key("healthmonitor.high-cpu-detector.severe.threashold").defaultValue(1.2);
private JobID jobID;
private RestServerClient restServerClient;
private MetricProvider metricProvider;
private HealthMonitor monitor;
private long checkInterval;
private double threshold;
private double severeThreshold;
private JobTMMetricSubscription tmCpuAllocatedSubscription;
private JobTMMetricSubscription tmCpuUsageSubscription;
@Override
public void open(HealthMonitor monitor) {
this.monitor = monitor;
jobID = monitor.getJobID();
restServerClient = monitor.getRestServerClient();
metricProvider = monitor.getMetricProvider();
checkInterval = monitor.getConfig().getLong(HealthMonitorOptions.RESOURCE_SCALE_INTERVAL);
threshold = monitor.getConfig().getDouble(HIGH_CPU_THRESHOLD);
severeThreshold = monitor.getConfig().getDouble(HIGH_CPU_SEVERE_THRESHOLD);
tmCpuAllocatedSubscription = metricProvider.subscribeAllTMMetric(jobID, MetricNames.TM_CPU_CAPACITY, checkInterval, TimelineAggType.AVG);
tmCpuUsageSubscription = metricProvider.subscribeAllTMMetric(jobID, MetricNames.TM_CPU_USAGE, checkInterval, TimelineAggType.AVG);
}
@Override
public void close() {
if (metricProvider != null && tmCpuAllocatedSubscription != null) {
metricProvider.unsubscribe(tmCpuAllocatedSubscription);
}
if (metricProvider != null && tmCpuUsageSubscription != null) {
metricProvider.unsubscribe(tmCpuUsageSubscription);
}
}
@Override
public Symptom detect() throws Exception {
LOGGER.debug("Start detecting.");
Map> tmCapacities = tmCpuAllocatedSubscription.getValue();
Map> tmUsages = tmCpuUsageSubscription.getValue();
if (tmCapacities == null || tmCapacities.isEmpty() || tmUsages == null || tmUsages.isEmpty()) {
return null;
}
boolean severe = false;
Map vertexMaxUtility = new HashMap<>();
for (String tmId : tmCapacities.keySet()) {
if (!MetricUtils.validateTmMetric(monitor, checkInterval * 2, tmCapacities.get(tmId), tmUsages.get(tmId))) {
LOGGER.debug("Skip tm {}, metrics missing.", tmId);
continue;
}
double capacity = tmCapacities.get(tmId).f1;
double usage = tmUsages.get(tmId).f1;
LOGGER.debug("TM {}, capacity {}, usage {}.", tmId, capacity, usage);
if (capacity == 0.0) {
LOGGER.warn("Skip vertex {}, capacity is 0. SHOULD NOT HAPPEN!", tmId);
continue;
}
double utility = usage / capacity;
if (utility > threshold) {
if (utility > severeThreshold) {
severe = true;
}
List jobExecutionVertexIds = restServerClient.getTaskManagerTasks(tmId);
for (ExecutionVertexID jobExecutionVertexId : jobExecutionVertexIds) {
JobVertexID jvId = jobExecutionVertexId.getJobVertexID();
if (!vertexMaxUtility.containsKey(jvId) || vertexMaxUtility.get(jvId) < utility) {
vertexMaxUtility.put(jvId, utility);
}
}
LOGGER.debug("Cpu high detected for tm {}, capacity {}, usage {}, utility {}, tasks of vertices {}.",
tmId,
capacity,
usage,
utility,
jobExecutionVertexIds.stream().map(evid -> evid.getJobVertexID()).collect(Collectors.toList()));
}
}
if (vertexMaxUtility != null && !vertexMaxUtility.isEmpty()) {
LOGGER.info("Cpu high detected for vertices with max utilities {}.", vertexMaxUtility);
return new JobVertexHighCpu(jobID, vertexMaxUtility, severe);
}
return null;
}
}
