org.elasticsearch.search.aggregations.metrics.AbstractInternalHDRPercentiles Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of elasticsearch Show documentation
Show all versions of elasticsearch Show documentation
Elasticsearch subproject :server
/*
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
* or more contributor license agreements. Licensed under the Elastic License
* 2.0 and the Server Side Public License, v 1; you may not use this file except
* in compliance with, at your election, the Elastic License 2.0 or the Server
* Side Public License, v 1.
*/
package org.elasticsearch.search.aggregations.metrics;
import org.HdrHistogram.DoubleHistogram;
import org.elasticsearch.common.io.stream.StreamInput;
import org.elasticsearch.common.io.stream.StreamOutput;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.search.DocValueFormat;
import org.elasticsearch.search.aggregations.InternalAggregation;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.stream.Collectors;
import java.util.zip.DataFormatException;
abstract class AbstractInternalHDRPercentiles extends InternalNumericMetricsAggregation.MultiValue {
protected final double[] keys;
protected final DoubleHistogram state;
protected final boolean keyed;
AbstractInternalHDRPercentiles(String name, double[] keys, DoubleHistogram state, boolean keyed, DocValueFormat format,
Map metadata) {
super(name, metadata);
this.keys = keys;
this.state = state;
this.keyed = keyed;
this.format = format;
}
/**
* Read from a stream.
*/
protected AbstractInternalHDRPercentiles(StreamInput in) throws IOException {
super(in);
format = in.readNamedWriteable(DocValueFormat.class);
keys = in.readDoubleArray();
long minBarForHighestToLowestValueRatio = in.readLong();
final int serializedLen = in.readVInt();
byte[] bytes = new byte[serializedLen];
in.readBytes(bytes, 0, serializedLen);
ByteBuffer stateBuffer = ByteBuffer.wrap(bytes);
try {
state = DoubleHistogram.decodeFromCompressedByteBuffer(stateBuffer, minBarForHighestToLowestValueRatio);
} catch (DataFormatException e) {
throw new IOException("Failed to decode DoubleHistogram for aggregation [" + name + "]", e);
}
keyed = in.readBoolean();
}
@Override
protected void doWriteTo(StreamOutput out) throws IOException {
out.writeNamedWriteable(format);
out.writeDoubleArray(keys);
out.writeLong(state.getHighestToLowestValueRatio());
ByteBuffer stateBuffer = ByteBuffer.allocate(state.getNeededByteBufferCapacity());
final int serializedLen = state.encodeIntoCompressedByteBuffer(stateBuffer);
out.writeVInt(serializedLen);
out.writeBytes(stateBuffer.array(), 0, serializedLen);
out.writeBoolean(keyed);
}
@Override
public double value(String name) {
return value(Double.parseDouble(name));
}
@Override
public Iterable valueNames() {
return Arrays.stream(getKeys()).mapToObj(d -> String.valueOf(d)).collect(Collectors.toList());
}
public DocValueFormat formatter() {
return format;
}
public abstract double value(double key);
public long getEstimatedMemoryFootprint() {
return state.getEstimatedFootprintInBytes();
}
/**
* Return the internal {@link DoubleHistogram} sketch for this metric.
*/
public DoubleHistogram getState() {
return state;
}
/**
* Return the keys (percentiles) requested.
*/
public double[] getKeys() {
return keys;
}
/**
* Should the output be keyed.
*/
public boolean keyed() {
return keyed;
}
@Override
public AbstractInternalHDRPercentiles reduce(List aggregations, ReduceContext reduceContext) {
DoubleHistogram merged = null;
for (InternalAggregation aggregation : aggregations) {
final AbstractInternalHDRPercentiles percentiles = (AbstractInternalHDRPercentiles) aggregation;
if (merged == null) {
merged = new DoubleHistogram(percentiles.state);
merged.setAutoResize(true);
}
merged.add(percentiles.state);
}
return createReduced(getName(), keys, merged, keyed, getMetadata());
}
protected abstract AbstractInternalHDRPercentiles createReduced(String name, double[] keys, DoubleHistogram merged, boolean keyed,
Map metadata);
@Override
public XContentBuilder doXContentBody(XContentBuilder builder, Params params) throws IOException {
if (keyed) {
builder.startObject(CommonFields.VALUES.getPreferredName());
for(int i = 0; i < keys.length; ++i) {
String key = String.valueOf(keys[i]);
double value = value(keys[i]);
builder.field(key, state.getTotalCount() == 0 ? null : value);
if (format != DocValueFormat.RAW && state.getTotalCount() > 0) {
builder.field(key + "_as_string", format.format(value).toString());
}
}
builder.endObject();
} else {
builder.startArray(CommonFields.VALUES.getPreferredName());
for (int i = 0; i < keys.length; i++) {
double value = value(keys[i]);
builder.startObject();
builder.field(CommonFields.KEY.getPreferredName(), keys[i]);
builder.field(CommonFields.VALUE.getPreferredName(), state.getTotalCount() == 0 ? null : value);
if (format != DocValueFormat.RAW && state.getTotalCount() > 0) {
builder.field(CommonFields.VALUE_AS_STRING.getPreferredName(), format.format(value).toString());
}
builder.endObject();
}
builder.endArray();
}
return builder;
}
@Override
public boolean equals(Object obj) {
if (this == obj) return true;
if (obj == null || getClass() != obj.getClass()) return false;
if (super.equals(obj) == false) return false;
AbstractInternalHDRPercentiles that = (AbstractInternalHDRPercentiles) obj;
return keyed == that.keyed
&& Arrays.equals(keys, that.keys)
&& Objects.equals(state, that.state);
}
@Override
public int hashCode() {
// we cannot use state.hashCode at the moment because of:
// https://github.com/HdrHistogram/HdrHistogram/issues/81
// TODO: upgrade the HDRHistogram library
return Objects.hash(super.hashCode(),
keyed,
Arrays.hashCode(keys),
state.getIntegerToDoubleValueConversionRatio(),
state.getTotalCount());
}
}