xiaohui-sun commented on a change in pull request #4777: [TE] add event driven scheduler URL: https://github.com/apache/incubator-pinot/pull/4777#discussion_r346110966
########## File path: thirdeye/thirdeye-pinot/src/main/java/org/apache/pinot/thirdeye/anomaly/detection/trigger/DataAvailabilityTaskScheduler.java ########## @@ -0,0 +1,222 @@ +/* + * 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.pinot.thirdeye.anomaly.detection.trigger; + +import com.fasterxml.jackson.core.JsonProcessingException; +import com.fasterxml.jackson.databind.ObjectMapper; +import java.util.ArrayList; +import java.util.HashMap; +import java.util.HashSet; +import java.util.List; +import java.util.Map; +import java.util.Set; +import java.util.concurrent.Executors; +import java.util.concurrent.ScheduledExecutorService; +import java.util.concurrent.TimeUnit; +import java.util.stream.Collectors; +import org.apache.pinot.thirdeye.anomaly.task.TaskConstants; +import org.apache.pinot.thirdeye.anomaly.task.TaskInfoFactory; +import org.apache.pinot.thirdeye.anomaly.utils.ThirdeyeMetricsUtil; +import org.apache.pinot.thirdeye.datalayer.bao.DatasetConfigManager; +import org.apache.pinot.thirdeye.datalayer.bao.DetectionConfigManager; +import org.apache.pinot.thirdeye.datalayer.bao.TaskManager; +import org.apache.pinot.thirdeye.datalayer.dto.DatasetConfigDTO; +import org.apache.pinot.thirdeye.datalayer.dto.DetectionConfigDTO; +import org.apache.pinot.thirdeye.datalayer.dto.TaskDTO; +import org.apache.pinot.thirdeye.datalayer.pojo.DetectionConfigBean; +import org.apache.pinot.thirdeye.datasource.DAORegistry; +import org.apache.pinot.thirdeye.detection.DetectionPipelineTaskInfo; +import org.apache.pinot.thirdeye.formatter.DetectionConfigFormatter; +import org.apache.pinot.thirdeye.rootcause.impl.MetricEntity; +import org.apache.pinot.thirdeye.util.ThirdEyeUtils; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * This class is to schedule detection tasks based on data availability events. + */ +public class DataAvailabilityTaskScheduler implements Runnable { + private static final Logger LOG = LoggerFactory.getLogger(DataAvailabilityTaskScheduler.class); + private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); + private ScheduledExecutorService executorService; + private long delayInSec; // delay time after each run for the scheduler to reduce DB polling + private int maxNotRunThresholdInMin; // default threshold if detection level threshold is not set + private Map<Long, Long> lastTaskCreateTimeMap; + private TaskManager taskDAO; + private DetectionConfigManager detectionConfigDAO; + private DatasetConfigManager datasetConfigDAO; + /** + * Construct an instance of {@link DataAvailabilityTaskScheduler} + * @param delayInSec delay after each run to avoid polling the database too often + * @param maxNotRunThresholdInMin global threshold for fallback if detection level one is not set + */ + public DataAvailabilityTaskScheduler(long delayInSec, int maxNotRunThresholdInMin) { + this.delayInSec = delayInSec; + this.maxNotRunThresholdInMin = maxNotRunThresholdInMin; + this.lastTaskCreateTimeMap = new HashMap<>(); + this.executorService = Executors.newSingleThreadScheduledExecutor(); + this.taskDAO = DAORegistry.getInstance().getTaskDAO(); + this.detectionConfigDAO = DAORegistry.getInstance().getDetectionConfigManager(); + this.datasetConfigDAO = DAORegistry.getInstance().getDatasetConfigDAO(); + } + + @Override + public void run() { + Map<DetectionConfigDTO, Set<String>> detection2DatasetMap = new HashMap<>(); + Map<String, Long> dataset2RefreshTimeMap = new HashMap<>(); + populateDetectionMapAndDataset2RefreshTimeMap(detection2DatasetMap, dataset2RefreshTimeMap); + Map<Long, TaskDTO> runningDetection = retrieveRunningDetection(); + int taskCount = 0; + for (DetectionConfigDTO detectionConfig : detection2DatasetMap.keySet()) { + try { + long detectionConfigId = detectionConfig.getId(); + if (!runningDetection.containsKey(detectionConfigId)) { + if (isAllDatasetUpdated(detectionConfig, detection2DatasetMap.get(detectionConfig), dataset2RefreshTimeMap)) { + //TODO: additional check is required if detection is based on aggregated value across multiple data points + createDetectionTask(detectionConfig); + taskCount++; + } else if (isTimeForFallback(detectionConfig)) { + LOG.info("Scheduling a task for detection {} due to the fallback mechanism", detectionConfigId); + createDetectionTask(detectionConfig); + taskCount++; + } + } else { + LOG.info("Skipping creating detection task for detection {} because task {} is not finished.", + detectionConfigId, runningDetection.get(detectionConfigId)); + } + } catch (Exception e) { + LOG.error("Error in scheduling a detection...", e); + } + } + ThirdeyeMetricsUtil.eventDrivenScheduledTaskCounter.inc(taskCount); + LOG.info("Schedule {} tasks in this run...", taskCount); + + } + + public void start() { + executorService.scheduleWithFixedDelay(this, 0, delayInSec, TimeUnit.SECONDS); + } + + public void close() { + executorService.shutdownNow(); + } + + private void populateDetectionMapAndDataset2RefreshTimeMap( + Map<DetectionConfigDTO, Set<String>> dataset2DetectionMap, Map<String, Long> dataset2RefreshTimeMap) { + Map<Long, Set<String>> metricCache = new HashMap<>(); + List<DetectionConfigDTO> detectionConfigs = detectionConfigDAO.findAllActive() + .stream().filter(DetectionConfigBean::isDataAvailabilitySchedule).collect(Collectors.toList()); + for (DetectionConfigDTO detectionConfig : detectionConfigs) { + List<String> metricUrns = DetectionConfigFormatter + .extractMetricUrnsFromProperties(detectionConfig.getProperties()); + Set<String> datasets = new HashSet<>(); + for (String urn : metricUrns) { + MetricEntity me = MetricEntity.fromURN(urn); + if (!metricCache.containsKey(me.getId())) { + datasets.addAll(ThirdEyeUtils.getDatasetConfigsFromMetricUrn(urn) + .stream().map(DatasetConfigDTO::getName).collect(Collectors.toList())); + // cache the mapping in memory to avoid duplicate retrieval + metricCache.put(me.getId(), datasets); + } else { + // retrieve dataset mapping from memory + datasets.addAll(metricCache.get(me.getId())); + } + } + if (datasets.isEmpty()) { + LOG.error("No valid dataset is found for detection {}", detectionConfig.getId()); + continue; + } + dataset2DetectionMap.put(detectionConfig, datasets); + for (String dataset : datasets) { + if (!dataset2RefreshTimeMap.containsKey(dataset)) { + DatasetConfigDTO datasetConfig = datasetConfigDAO.findByDataset(dataset); + dataset2RefreshTimeMap.put(dataset, datasetConfig.getLastRefreshTime()); + } + } + } + } + + private Map<Long, TaskDTO> retrieveRunningDetection() { + List<TaskConstants.TaskStatus> statuses = new ArrayList<>(); + statuses.add(TaskConstants.TaskStatus.WAITING); + statuses.add(TaskConstants.TaskStatus.RUNNING); + List<TaskDTO> tasks = taskDAO.findByStatusesAndTypeWithinDays(statuses, TaskConstants.TaskType.DETECTION, + (int) TimeUnit.MILLISECONDS.toDays(ThirdEyeUtils.DETECTION_TASK_MAX_LOOKBACK_WINDOW)); + Map<Long, TaskDTO> res = new HashMap<>(tasks.size()); + for (TaskDTO task : tasks) { + String[] parts = task.getJobName().split("_"); + if (parts.length < 2) { + LOG.error("Invalid name found {} for task id {}", task.getJobName(), task.getId()); + continue; + } + res.put(Long.parseLong(parts[1]), task); + } + return res; + } + + private long createDetectionTask(DetectionConfigDTO detectionConfig) throws JsonProcessingException { + long detectionConfigId = detectionConfig.getId(); + // Make sure start time is not out of DETECTION_TASK_MAX_LOOKBACK_WINDOW + long end = System.currentTimeMillis(); + long start = Math.max(detectionConfig.getLastTimestamp(), + end - ThirdEyeUtils.DETECTION_TASK_MAX_LOOKBACK_WINDOW); + DetectionPipelineTaskInfo taskInfo = new DetectionPipelineTaskInfo(detectionConfigId, start, end); + String taskInfoJson = OBJECT_MAPPER.writeValueAsString(taskInfo); + TaskDTO taskDTO = new TaskDTO(); + taskDTO.setTaskType(TaskConstants.TaskType.DETECTION); + taskDTO.setJobName(TaskConstants.TaskType.DETECTION.toString() + "_" + detectionConfigId); + taskDTO.setStatus(TaskConstants.TaskStatus.WAITING); + taskDTO.setTaskInfo(taskInfoJson); + long taskId = taskDAO.save(taskDTO); + LOG.info("Created detection pipeline task {} with taskId {}", taskDTO, taskId); + lastTaskCreateTimeMap.put(detectionConfigId, end); + return taskId; + } + + private void loadLatestTaskCreateTime (DetectionConfigDTO detectionConfig) throws Exception { + long detectionConfigId = detectionConfig.getId(); + List<TaskDTO> tasks = taskDAO.findByNameOrderByCreateTime(TaskConstants.TaskType.DETECTION.toString() + + "_" + detectionConfigId, 1,false); + if (tasks.size() == 0) { + lastTaskCreateTimeMap.put(detectionConfigId, 0L); + } else { + DetectionPipelineTaskInfo taskInfo = (DetectionPipelineTaskInfo) TaskInfoFactory.getTaskInfoFromTaskType( + TaskConstants.TaskType.DETECTION, tasks.get(0).getTaskInfo()); + lastTaskCreateTimeMap.put(detectionConfigId, taskInfo.getEnd()); + } + } + + private boolean isAllDatasetUpdated(DetectionConfigDTO detectionConfig, Set<String> datasets, + Map<String, Long> dataset2RefreshTimeMap) { Review comment: dataset2RefreshTimeMap -> datasetRefreshTimeMap ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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