blob: 1d67c2dbaccb226ad4b2f6a92571372e418caa5a [file] [log] [blame]
/*
* 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.skywalking.oap.server.core.analysis.metrics;
import lombok.Getter;
import lombok.Setter;
import org.apache.skywalking.oap.server.core.analysis.metrics.annotation.Arg;
import org.apache.skywalking.oap.server.core.analysis.metrics.annotation.Entrance;
import org.apache.skywalking.oap.server.core.analysis.metrics.annotation.MetricsFunction;
import org.apache.skywalking.oap.server.core.analysis.metrics.annotation.SourceFrom;
import org.apache.skywalking.oap.server.core.storage.annotation.BanyanDB;
import org.apache.skywalking.oap.server.core.storage.annotation.Column;
/**
* Histogram metrics represents the calculator for heat map.
* <p>
* It groups the given collection of values by the given step and number of steps.
* <p>
* A heat map (or heatmap) is a graphical representation of data where the individual values contained in a matrix are
* represented as colors.
*/
@MetricsFunction(functionName = "histogram")
public abstract class HistogramMetrics extends Metrics {
public static final String DATASET = "dataset";
@Getter
@Setter
@Column(name = DATASET, dataType = Column.ValueDataType.HISTOGRAM, storageOnly = true, defaultValue = 0)
@BanyanDB.MeasureField
private DataTable dataset = new DataTable(30);
/**
* Data will be grouped in
* <pre>
* key = 0, represents [0, 100), value = count of requests in the latency range.
* key = 100, represents [100, 200), value = count of requests in the latency range.
* ...
* key = step * maxNumOfSteps, represents [step * maxNumOfSteps, MAX)
* </pre>
*
* @param step the size of each step. A positive integer.
* @param maxNumOfSteps Steps are used to group incoming value.
*/
@Entrance
public final void combine(@SourceFrom int value, @Arg int step, @Arg int maxNumOfSteps) {
if (!dataset.hasData()) {
for (int i = 0; i <= maxNumOfSteps; i++) {
String key = String.valueOf(i * step);
dataset.put(key, 0L);
}
}
int index = value / step;
if (index > maxNumOfSteps) {
index = maxNumOfSteps;
}
String idx = String.valueOf(index * step);
dataset.valueAccumulation(idx, 1L);
}
@Override
public boolean combine(Metrics metrics) {
HistogramMetrics histogramMetrics = (HistogramMetrics) metrics;
this.dataset.append(histogramMetrics.dataset);
return true;
}
/**
* For Thermodynamic metrics, no single value field. Need to do nothing here.
*/
@Override
public final void calculate() {
}
}