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HistogramDataPointImpl.java
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HistogramDataPointImpl.java
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/*
* Copyright 2017 SmartSheet.com
*
* Licensed 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 io.inscopemetrics.kairosdb;
import edu.umd.cs.findbugs.annotations.SuppressFBWarnings;
import org.json.JSONException;
import org.json.JSONWriter;
import org.kairosdb.core.datapoints.DataPointHelper;
import java.io.DataOutput;
import java.io.IOException;
import java.util.Map;
import java.util.TreeMap;
/**
* DataPoint that represents a Histogram.
*
* @author Brandon Arp (brandon dot arp at smartsheet dot com)
*/
public class HistogramDataPointImpl extends DataPointHelper implements HistogramDataPoint {
private static final String API_TYPE = "histogram";
private static final int DEFAULT_PRECISION = 7;
@SuppressFBWarnings("URF_UNREAD_FIELD")
private final int precision;
private final TreeMap<Double, Integer> map;
private final double min;
private final double max;
private final double mean;
private final double sum;
private final long originalCount;
/**
* Public constructor.
*
* @param timestamp the timestamp.
* @param map the bins with values
* @param min the minimum value in the histogram
* @param max the maximum value in the histogram
* @param mean the mean value in the histogram
* @param sum the sum of all the values in the histogram
*/
public HistogramDataPointImpl(
final long timestamp,
final TreeMap<Double, Integer> map,
final double min,
final double max,
final double mean,
final double sum) {
this(
timestamp,
DEFAULT_PRECISION,
map,
min,
max,
mean,
sum);
}
/**
* Public constructor.
*
* @param timestamp the timestamp.
* @param map the bins with values
* @param min the minimum value in the histogram
* @param max the maximum value in the histogram
* @param mean the mean value in the histogram
* @param sum the sum of all the values in the histogram
* @param originalCount the original number of data points that this histogram represented
*/
public HistogramDataPointImpl(
final long timestamp,
final TreeMap<Double, Integer> map,
final double min,
final double max,
final double mean,
final double sum,
final long originalCount) {
this(
timestamp,
DEFAULT_PRECISION,
map,
min,
max,
mean,
sum,
originalCount);
}
/**
* Public constructor.
*
* @param timestamp the timestamp.
* @param precision bucket precision, in bits
* @param map the bins with values
* @param min the minimum value in the histogram
* @param max the maximum value in the histogram
* @param mean the mean value in the histogram
* @param sum the sum of all the values in the histogram
*/
public HistogramDataPointImpl(
final long timestamp,
final int precision,
final TreeMap<Double, Integer> map,
final double min,
final double max,
final double mean,
final double sum) {
super(timestamp);
this.precision = precision;
this.map = map;
this.min = min;
this.max = max;
this.mean = mean;
this.sum = sum;
this.originalCount = getSampleCount();
}
/**
* Public constructor.
*
* @param timestamp the timestamp.
* @param precision bucket precision, in bits
* @param map the bins with values
* @param min the minimum value in the histogram
* @param max the maximum value in the histogram
* @param mean the mean value in the histogram
* @param sum the sum of all the values in the histogram
* @param originalCount the original number of data points that this histogram represented
*/
// CHECKSTYLE.OFF: ParameterNumber
public HistogramDataPointImpl(
final long timestamp,
final int precision,
final TreeMap<Double, Integer> map,
final double min,
final double max,
final double mean,
final double sum,
final long originalCount) {
super(timestamp);
this.precision = precision;
this.map = map;
this.min = min;
this.max = max;
this.mean = mean;
this.sum = sum;
this.originalCount = originalCount;
}
// CHECKSTYLE.ON: ParameterNumber
@Override
public void writeValueToBuffer(final DataOutput buffer) throws IOException {
buffer.writeInt(map.size());
for (Map.Entry<Double, Integer> entry : map.entrySet()) {
buffer.writeDouble(entry.getKey());
buffer.writeInt(entry.getValue());
}
buffer.writeDouble(min);
buffer.writeDouble(max);
buffer.writeDouble(mean);
buffer.writeDouble(sum);
}
@Override
public void writeValueToJson(final JSONWriter writer) throws JSONException {
writer.object().key("bins");
writer.object();
for (Map.Entry<Double, Integer> entry : map.entrySet()) {
writer.key(entry.getKey().toString()).value(entry.getValue());
}
writer.endObject();
writer.key("min").value(min);
writer.key("max").value(max);
writer.key("mean").value(mean);
writer.key("sum").value(sum);
writer.endObject();
}
@Override
public String getApiDataType() {
return API_TYPE;
}
@Override
public String getDataStoreDataType() {
return HistogramDataPointFactory.DST;
}
@Override
public boolean isLong() {
return false;
}
@Override
public long getLongValue() {
return 0;
}
@Override
public boolean isDouble() {
return false;
}
@Override
public double getDoubleValue() {
return 0;
}
@Override
public long getOriginalCount() {
return originalCount;
}
/**
* Gets the number of samples in the bins.
*
* @return the number of samples
*/
@Override
public long getSampleCount() {
long count = 0;
for (Integer binSamples : map.values()) {
count += binSamples;
}
return count;
}
@Override
public double getSum() {
return sum;
}
@Override
public double getMin() {
return min;
}
@Override
public double getMax() {
return max;
}
@Override
public TreeMap<Double, Integer> getMap() {
return map;
}
}