org.apache.flink.runtime.healthmanager.metrics.timeline.AvgTimelineAggregator Maven / Gradle / Ivy
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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.metrics.timeline;
import org.apache.flink.api.java.tuple.Tuple2;
/**
* Calculate average value of the metric in given interval.
*/
public class AvgTimelineAggregator extends TimelineAggregator {
private long nextIntervalKey = -1;
private double sum = 0;
private double count = 0;
private long lastTimestamp = -1;
public AvgTimelineAggregator(long interval) {
super(0, interval);
}
public AvgTimelineAggregator(long startTime, long interval) {
super(startTime, interval);
}
@Override
public void updateTimestamp(long timestamp) {
long intervalKey = getIntervalKey(timestamp);
if (nextIntervalKey < intervalKey) {
if (count > 0) {
currentTimestamp = nextIntervalKey;
currentValue = sum / count;
}
nextIntervalKey = intervalKey;
sum = 0;
count = 0;
}
}
@Override
public void addValue(Tuple2 value) {
if (lastTimestamp >= value.f0) {
// duplicated data, ignored.
return;
}
lastTimestamp = value.f0;
long intervalKey = getIntervalKey(value.f0);
if (nextIntervalKey == intervalKey) {
sum += value.f1;
count += 1;
} else if (nextIntervalKey < intervalKey) {
if (count > 0) {
currentTimestamp = nextIntervalKey;
currentValue = sum / count;
}
nextIntervalKey = intervalKey;
sum = value.f1;
count = 1;
}
}
@Override
public Tuple2 getPartialValue() {
if (nextIntervalKey != -1 && count > 0) {
return Tuple2.of(nextIntervalKey, sum / count);
}
return null;
}
}