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/*
* Licensed to Elasticsearch under one or more contributor
* license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright
* ownership. Elasticsearch 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.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 org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
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.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,
List pipelineAggregators,
Map metaData) {
super(name, pipelineAggregators, 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));
}
DocValueFormat formatter() {
return format;
}
public abstract double value(double key);
public long getEstimatedMemoryFootprint() {
return state.getEstimatedFootprintInBytes();
}
DoubleHistogram getState() {
return state;
}
@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, pipelineAggregators(), getMetaData());
}
protected abstract AbstractInternalHDRPercentiles createReduced(String name, double[] keys, DoubleHistogram merged, boolean keyed,
List pipelineAggregators, 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());
}
}