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org.apache.flink.runtime.healthmanager.plugins.detectors.HighNativeMemoryDetector 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.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.JobVertexHighNativeMemory;
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;
/**
* HighNativeMemoryDetector detects TM memory overuse of a job.
*/
public class HighNativeMemoryDetector implements Detector {
private static final Logger LOGGER = LoggerFactory.getLogger(HighNativeMemoryDetector.class);
public static final ConfigOption HIGH_NATIVE_MEM_THRESHOLD =
ConfigOptions.key("healthmonitor.high-native-mem-detector.threshold").defaultValue(1.0);
public static final ConfigOption HIGH_NATIVE_MEM_SEVERE_THRESHOLD =
ConfigOptions.key("healthmonitor.high-native-mem-detector.severe.threshold").defaultValue(1.2);
public static final ConfigOption HIGH_NATIVE_MEM_CRITICAL_THRESHOLD =
ConfigOptions.key("healthmonitor.high-native-mem-detector.critical.threshold").defaultValue(Double.MAX_VALUE);
private JobID jobID;
private RestServerClient restServerClient;
private MetricProvider metricProvider;
private HealthMonitor monitor;
private long overuseCheckInterval;
private double threshold;
private double severeThreshold;
private double criticalThreshold;
private JobTMMetricSubscription tmMemCapacitySubscription;
private JobTMMetricSubscription tmMemUsageTotalSubscription;
private JobTMMetricSubscription tmMemUsageHeapSubscription;
private JobTMMetricSubscription tmMemUsageNonHeapSubscription;
@Override
public void open(HealthMonitor monitor) {
this.monitor = monitor;
jobID = monitor.getJobID();
restServerClient = monitor.getRestServerClient();
metricProvider = monitor.getMetricProvider();
overuseCheckInterval = monitor.getConfig().getLong(HealthMonitorOptions.RESOURCE_SCALE_INTERVAL);
threshold = monitor.getConfig().getDouble(HIGH_NATIVE_MEM_THRESHOLD);
severeThreshold = monitor.getConfig().getDouble(HIGH_NATIVE_MEM_SEVERE_THRESHOLD);
criticalThreshold = monitor.getConfig().getDouble(HIGH_NATIVE_MEM_CRITICAL_THRESHOLD);
tmMemCapacitySubscription = metricProvider.subscribeAllTMMetric(jobID, MetricNames.TM_MEM_CAPACITY,
overuseCheckInterval, TimelineAggType.MAX);
tmMemUsageTotalSubscription = metricProvider.subscribeAllTMMetric(jobID, MetricNames.TM_MEM_USAGE_TOTAL,
overuseCheckInterval, TimelineAggType.MAX);
tmMemUsageHeapSubscription = metricProvider.subscribeAllTMMetric(jobID, MetricNames.TM_MEM_HEAP_COMMITTED,
overuseCheckInterval, TimelineAggType.MAX);
tmMemUsageNonHeapSubscription = metricProvider.subscribeAllTMMetric(jobID, MetricNames.TM_MEM_NON_HEAP_COMMITTED,
overuseCheckInterval, TimelineAggType.MAX);
}
@Override
public void close() {
if (metricProvider != null && tmMemCapacitySubscription != null) {
metricProvider.unsubscribe(tmMemCapacitySubscription);
}
if (metricProvider != null && tmMemUsageHeapSubscription != null) {
metricProvider.unsubscribe(tmMemUsageTotalSubscription);
}
if (metricProvider != null && tmMemUsageHeapSubscription != null) {
metricProvider.unsubscribe(tmMemUsageHeapSubscription);
}
if (metricProvider != null && tmMemUsageNonHeapSubscription != null) {
metricProvider.unsubscribe(tmMemUsageNonHeapSubscription);
}
}
@Override
public Symptom detect() throws Exception {
LOGGER.debug("Start detecting.");
Map> tmCapacities = tmMemCapacitySubscription.getValue();
Map> tmTotalUsages = tmMemUsageTotalSubscription.getValue();
Map> tmHeapUsages = tmMemUsageHeapSubscription.getValue();
Map> tmNonHeapUsages = tmMemUsageNonHeapSubscription.getValue();
RestServerClient.JobConfig jobConfig = monitor.getJobConfig();
if (tmCapacities == null || tmCapacities.isEmpty() ||
tmTotalUsages == null || tmTotalUsages.isEmpty() ||
tmHeapUsages == null || tmHeapUsages.isEmpty() ||
tmNonHeapUsages == null || tmNonHeapUsages.isEmpty()) {
return null;
}
boolean severe = false;
boolean critical = false;
Map vertexMaxUtility = new HashMap<>();
for (String tmId : tmCapacities.keySet()) {
if (!MetricUtils.validateTmMetric(monitor, overuseCheckInterval * 2,
tmCapacities.get(tmId), tmTotalUsages.get(tmId), tmHeapUsages.get(tmId), tmNonHeapUsages.get(tmId))) {
LOGGER.debug("Skip tm {}, metrics missing.", tmId);
continue;
}
double capacity = tmCapacities.get(tmId).f1;
double totalUsage = tmTotalUsages.get(tmId).f1;
double heapUsage = tmHeapUsages.get(tmId).f1;
double nonHeapUsage = tmNonHeapUsages.get(tmId).f1;
LOGGER.debug("TM {}, capacity {}, usage total {}, heap {}, non-heap {}.", tmId, capacity, totalUsage, heapUsage, nonHeapUsage);
if (totalUsage <= capacity * threshold) {
continue;
}
if (totalUsage > capacity * severeThreshold) {
severe = true;
}
if (totalUsage > capacity * criticalThreshold) {
critical = true;
}
List jobExecutionVertexIds = restServerClient.getTaskManagerTasks(tmId);
if (jobExecutionVertexIds == null) {
continue;
}
double nativeUsage = (totalUsage - heapUsage - nonHeapUsage) / 1024 / 1024;
if (nativeUsage < 0.0) {
LOGGER.debug("Skip tm {}, abnormal native usage {}.", tmId, nativeUsage);
continue;
}
double nativeCapacity = 0.0;
for (ExecutionVertexID executionVertexID : jobExecutionVertexIds) {
JobVertexID jobVertexID = executionVertexID.getJobVertexID();
nativeCapacity += jobConfig.getVertexConfigs().get(jobVertexID).getResourceSpec().getNativeMemory();
}
if (nativeCapacity == 0.0) {
nativeCapacity = 1.0;
}
double utility = nativeUsage / nativeCapacity;
for (ExecutionVertexID executionVertexID : jobExecutionVertexIds) {
JobVertexID jobVertexID = executionVertexID.getJobVertexID();
if (!vertexMaxUtility.containsKey(jobVertexID) || vertexMaxUtility.get(jobVertexID) < utility) {
vertexMaxUtility.put(jobVertexID, utility);
}
}
}
if (vertexMaxUtility != null && !vertexMaxUtility.isEmpty()) {
LOGGER.info("Native memory high detected for vertices with max utility {}.", vertexMaxUtility);
return new JobVertexHighNativeMemory(jobID, vertexMaxUtility, severe, critical);
}
return null;
}
}
