ambari-metrics-timelineservice/src/main/java/org/apache/hadoop/yarn/server/applicationhistoryservice/metrics/timeline/aggregators/TimelineMetricClusterAggregatorSecondWithCacheSource.java

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 * 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
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 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
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package org.apache.hadoop.yarn.server.applicationhistoryservice.metrics.timeline.aggregators;

import org.apache.commons.lang.mutable.MutableInt;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.metrics2.sink.timeline.MetricClusterAggregate;
import org.apache.hadoop.yarn.server.applicationhistoryservice.metrics.timeline.PhoenixHBaseAccessor;
import org.apache.hadoop.yarn.server.applicationhistoryservice.metrics.timeline.TimelineMetricDistributedCache;
import org.apache.hadoop.yarn.server.applicationhistoryservice.metrics.timeline.availability.AggregationTaskRunner;
import org.apache.hadoop.yarn.server.applicationhistoryservice.metrics.timeline.availability.MetricCollectorHAController;
import org.apache.hadoop.yarn.server.applicationhistoryservice.metrics.timeline.discovery.TimelineMetricMetadataManager;

import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import static org.apache.hadoop.yarn.server.applicationhistoryservice.metrics.timeline.aggregators.AggregatorUtils.getSliceTimeForMetric;
import static org.apache.hadoop.yarn.server.applicationhistoryservice.metrics.timeline.aggregators.AggregatorUtils.getTimeSlices;

public class TimelineMetricClusterAggregatorSecondWithCacheSource extends TimelineMetricClusterAggregatorSecond {
  private TimelineMetricDistributedCache distributedCache;
  private Long cacheTimeSliceIntervalMillis;
  public TimelineMetricClusterAggregatorSecondWithCacheSource(AggregationTaskRunner.AGGREGATOR_NAME metricAggregateSecond, TimelineMetricMetadataManager metricMetadataManager, PhoenixHBaseAccessor hBaseAccessor, Configuration metricsConf, String checkpointLocation, long sleepIntervalMillis, int checkpointCutOffMultiplier, String aggregatorDisabledParam, String inputTableName, String outputTableName,
                                                              Long nativeTimeRangeDelay,
                                                              Long timeSliceInterval,
                                                              MetricCollectorHAController haController, TimelineMetricDistributedCache distributedCache, Long cacheTimeSliceIntervalMillis) {
    super(metricAggregateSecond, metricMetadataManager, hBaseAccessor, metricsConf, checkpointLocation, sleepIntervalMillis, checkpointCutOffMultiplier, aggregatorDisabledParam, inputTableName, outputTableName, nativeTimeRangeDelay, timeSliceInterval, haController);
    this.distributedCache = distributedCache;
    this.cacheTimeSliceIntervalMillis = cacheTimeSliceIntervalMillis;
  }

  @Override
  public boolean doWork(long startTime, long endTime) {
    LOG.info("Start aggregation cycle @ " + new Date() + ", " +
          "startTime = " + new Date(startTime) + ", endTime = " + new Date(endTime));
    try {
      Map<String, Double> caheMetrics;
      if (LOG.isDebugEnabled()) {
        caheMetrics = distributedCache.getPointInTimeCacheMetrics();
        LOG.debug("Ignite metrics before eviction : " + caheMetrics);
      }

      LOG.info("Trying to evict elements from cache");
      Map<TimelineClusterMetric, MetricClusterAggregate> metricsFromCache = distributedCache.evictMetricAggregates(startTime - serverTimeShiftAdjustment, endTime - serverTimeShiftAdjustment);
      LOG.info(String.format("Evicted %s elements from cache.", metricsFromCache.size()));

      if (LOG.isDebugEnabled()) {
        caheMetrics = distributedCache.getPointInTimeCacheMetrics();
        LOG.debug("Ignite metrics after eviction : " + caheMetrics);
      }

      List<Long[]> timeSlices = getTimeSlices(startTime - serverTimeShiftAdjustment, endTime - serverTimeShiftAdjustment, timeSliceIntervalMillis);
      Map<TimelineClusterMetric, MetricClusterAggregate> result = aggregateMetricsFromMetricClusterAggregates(metricsFromCache, timeSlices);

      LOG.info("Saving " + result.size() + " metric aggregates.");
      hBaseAccessor.saveClusterAggregateRecords(result);
      LOG.info("End aggregation cycle @ " + new Date());
      return true;
    } catch (Exception e) {
      LOG.error("Exception during aggregation. ", e);
      return false;
    }
  }

  //Slices in cache could be different from aggregate slices, so need to recalculate. Counts hosted apps
  Map<TimelineClusterMetric, MetricClusterAggregate> aggregateMetricsFromMetricClusterAggregates(Map<TimelineClusterMetric, MetricClusterAggregate> metricsFromCache, List<Long[]> timeSlices) {
    Map<TimelineClusterMetric, MetricClusterAggregate> result = new HashMap<>();

    //normalize if slices in cache are different from the aggregation slices
    //TODO add basic interpolation, current implementation assumes that cacheTimeSliceIntervalMillis <= timeSliceIntervalMillis
    if (cacheTimeSliceIntervalMillis.equals(timeSliceIntervalMillis)) {
      result = metricsFromCache;
    } else {
      for (Map.Entry<TimelineClusterMetric, MetricClusterAggregate> clusterMetricAggregateEntry : metricsFromCache.entrySet()) {
        Long timestamp = getSliceTimeForMetric(timeSlices, clusterMetricAggregateEntry.getKey().getTimestamp());
        if (timestamp <= 0) {
          LOG.warn("Entry doesn't match any slice. Slices : " + timeSlices + " metric timestamp : " + clusterMetricAggregateEntry.getKey().getTimestamp());
          continue;
        }
        TimelineClusterMetric timelineClusterMetric = new TimelineClusterMetric(clusterMetricAggregateEntry.getKey().getMetricName(), clusterMetricAggregateEntry.getKey().getAppId(), clusterMetricAggregateEntry.getKey().getInstanceId(), timestamp);
        if (result.containsKey(timelineClusterMetric)) {
          MetricClusterAggregate metricClusterAggregate = result.get(timelineClusterMetric);
          metricClusterAggregate.updateMax(clusterMetricAggregateEntry.getValue().getMax());
          metricClusterAggregate.updateMin(clusterMetricAggregateEntry.getValue().getMin());
          metricClusterAggregate.setSum((metricClusterAggregate.getSum() + clusterMetricAggregateEntry.getValue().getSum()) / 2D);
          metricClusterAggregate.setNumberOfHosts(Math.max(metricClusterAggregate.getNumberOfHosts(), clusterMetricAggregateEntry.getValue().getNumberOfHosts()));
        } else {
          result.put(timelineClusterMetric, clusterMetricAggregateEntry.getValue());
        }
      }
    }

    //TODO investigate if needed, maybe add config to disable/enable
    //count hosted apps
    Map<String, MutableInt> hostedAppCounter = new HashMap<>();
    for (Map.Entry<TimelineClusterMetric, MetricClusterAggregate> clusterMetricAggregateEntry : result.entrySet()) {
      int numHosts = clusterMetricAggregateEntry.getValue().getNumberOfHosts();
      String appId = clusterMetricAggregateEntry.getKey().getAppId();
      if (!hostedAppCounter.containsKey(appId)) {
        hostedAppCounter.put(appId, new MutableInt(numHosts));
      } else {
        int currentHostCount = hostedAppCounter.get(appId).intValue();
        if (currentHostCount < numHosts) {
          hostedAppCounter.put(appId, new MutableInt(numHosts));
        }
      }
    }

    // Add liveHosts per AppId metrics.
    processLiveAppCountMetrics(result, hostedAppCounter, timeSlices.get(timeSlices.size() - 1)[1]);

    return result;
  }

}