| /** |
| * 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 |
| * <p> |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * <p> |
| * 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.ambari.metrics.adservice.prototype.methods.ema; |
| |
| import com.google.gson.Gson; |
| import org.apache.ambari.metrics.adservice.prototype.methods.AnomalyDetectionTechnique; |
| import org.apache.ambari.metrics.adservice.prototype.methods.MetricAnomaly; |
| import org.apache.commons.logging.Log; |
| import org.apache.commons.logging.LogFactory; |
| import org.apache.hadoop.metrics2.sink.timeline.TimelineMetric; |
| import org.apache.spark.SparkContext; |
| import org.apache.spark.mllib.util.Saveable; |
| |
| import javax.xml.bind.annotation.XmlElement; |
| import javax.xml.bind.annotation.XmlRootElement; |
| import java.io.BufferedWriter; |
| import java.io.FileOutputStream; |
| import java.io.IOException; |
| import java.io.OutputStreamWriter; |
| import java.io.Serializable; |
| import java.io.Writer; |
| import java.util.ArrayList; |
| import java.util.HashMap; |
| import java.util.List; |
| import java.util.Map; |
| |
| @XmlRootElement |
| public class EmaTechnique extends AnomalyDetectionTechnique implements Serializable, Saveable { |
| |
| @XmlElement(name = "trackedEmas") |
| private Map<String, EmaModel> trackedEmas; |
| private static final Log LOG = LogFactory.getLog(EmaTechnique.class); |
| |
| private double startingWeight = 0.5; |
| private double startTimesSdev = 3.0; |
| private String methodType = "ema"; |
| public static int suppressAnomaliesTheshold = 100; |
| |
| public EmaTechnique(double startingWeight, double startTimesSdev, int suppressAnomaliesTheshold) { |
| trackedEmas = new HashMap<>(); |
| this.startingWeight = startingWeight; |
| this.startTimesSdev = startTimesSdev; |
| EmaTechnique.suppressAnomaliesTheshold = suppressAnomaliesTheshold; |
| LOG.info("New EmaTechnique......"); |
| } |
| |
| public EmaTechnique(double startingWeight, double startTimesSdev) { |
| trackedEmas = new HashMap<>(); |
| this.startingWeight = startingWeight; |
| this.startTimesSdev = startTimesSdev; |
| LOG.info("New EmaTechnique......"); |
| } |
| |
| public List<MetricAnomaly> test(TimelineMetric metric) { |
| String metricName = metric.getMetricName(); |
| String appId = metric.getAppId(); |
| String hostname = metric.getHostName(); |
| String key = metricName + ":" + appId + ":" + hostname; |
| |
| EmaModel emaModel = trackedEmas.get(key); |
| if (emaModel == null) { |
| LOG.debug("EmaModel not present for " + key); |
| LOG.debug("Number of tracked Emas : " + trackedEmas.size()); |
| emaModel = new EmaModel(metricName, hostname, appId, startingWeight, startTimesSdev); |
| trackedEmas.put(key, emaModel); |
| } else { |
| LOG.debug("EmaModel already present for " + key); |
| } |
| |
| List<MetricAnomaly> anomalies = new ArrayList<>(); |
| |
| for (Long timestamp : metric.getMetricValues().keySet()) { |
| double metricValue = metric.getMetricValues().get(timestamp); |
| double anomalyScore = emaModel.testAndUpdate(metricValue); |
| if (anomalyScore > 0.0) { |
| LOG.info("Found anomaly for : " + key + ", anomalyScore = " + anomalyScore); |
| MetricAnomaly metricAnomaly = new MetricAnomaly(key, timestamp, metricValue, methodType, anomalyScore); |
| anomalies.add(metricAnomaly); |
| } else { |
| LOG.debug("Discarding non-anomaly for : " + key); |
| } |
| } |
| return anomalies; |
| } |
| |
| public boolean updateModel(TimelineMetric timelineMetric, boolean increaseSensitivity, double percent) { |
| String metricName = timelineMetric.getMetricName(); |
| String appId = timelineMetric.getAppId(); |
| String hostname = timelineMetric.getHostName(); |
| String key = metricName + "_" + appId + "_" + hostname; |
| |
| |
| EmaModel emaModel = trackedEmas.get(key); |
| |
| if (emaModel == null) { |
| LOG.warn("EMA Model for " + key + " not found"); |
| return false; |
| } |
| emaModel.updateModel(increaseSensitivity, percent); |
| |
| return true; |
| } |
| |
| @Override |
| public void save(SparkContext sc, String path) { |
| Gson gson = new Gson(); |
| try { |
| String json = gson.toJson(this); |
| try (Writer writer = new BufferedWriter(new OutputStreamWriter( |
| new FileOutputStream(path), "utf-8"))) { |
| writer.write(json); |
| } |
| } catch (IOException e) { |
| LOG.error(e); |
| } |
| } |
| |
| @Override |
| public String formatVersion() { |
| return "1.0"; |
| } |
| |
| public Map<String, EmaModel> getTrackedEmas() { |
| return trackedEmas; |
| } |
| |
| public double getStartingWeight() { |
| return startingWeight; |
| } |
| |
| public double getStartTimesSdev() { |
| return startTimesSdev; |
| } |
| |
| } |
| |