/*
* Licensed to CRATE Technology GmbH ("Crate") under one or more contributor
* license agreements. See the NOTICE file distributed with this work for
* additional information regarding copyright ownership. Crate 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.
*
* However, if you have executed another commercial license agreement
* with Crate these terms will supersede the license and you may use the
* software solely pursuant to the terms of the relevant commercial agreement.
*/
package io.crate.operation.aggregation.impl;
import com.google.common.collect.ComparisonChain;
import com.google.common.collect.ImmutableList;
import io.crate.Streamer;
import io.crate.breaker.RamAccountingContext;
import io.crate.metadata.FunctionIdent;
import io.crate.metadata.FunctionInfo;
import io.crate.data.Input;
import io.crate.operation.aggregation.AggregationFunction;
import io.crate.types.DataType;
import io.crate.types.DataTypeFactory;
import io.crate.types.DataTypes;
import io.crate.types.FixedWidthType;
import org.apache.commons.math3.util.FastMath;
import org.elasticsearch.common.breaker.CircuitBreakingException;
import org.elasticsearch.common.io.stream.StreamInput;
import org.elasticsearch.common.io.stream.StreamOutput;
import org.elasticsearch.common.io.stream.Streamable;
import javax.annotation.Nullable;
import java.io.IOException;
public class GeometricMeanAggregation extends AggregationFunction<GeometricMeanAggregation.GeometricMeanState, Double> {
public static final String NAME = "geometric_mean";
static {
DataTypes.register(GeometricMeanStateType.ID, GeometricMeanStateType.INSTANCE);
}
public static void register(AggregationImplModule mod) {
for (DataType<?> t : DataTypes.NUMERIC_PRIMITIVE_TYPES) {
mod.register(new GeometricMeanAggregation(new FunctionInfo(
new FunctionIdent(NAME, ImmutableList.<DataType>of(t)), DataTypes.DOUBLE,
FunctionInfo.Type.AGGREGATE)));
}
mod.register(new GeometricMeanAggregation(new FunctionInfo(
new FunctionIdent(NAME, ImmutableList.<DataType>of(DataTypes.TIMESTAMP)), DataTypes.DOUBLE,
FunctionInfo.Type.AGGREGATE)));
}
public static class GeometricMeanState implements Comparable<GeometricMeanState>, Streamable {
/**
* Number of values that have been added
*/
private long n;
/**
* The currently running value
*/
private double value;
public GeometricMeanState() {
value = 0d;
n = 0;
}
private void addValue(double val) {
this.value += FastMath.log(val);
n++;
}
private Double value() {
if (n > 0) {
return FastMath.exp(value / n);
} else {
return null;
}
}
private void merge(GeometricMeanState other) {
this.value += other.value;
this.n += other.n;
}
@Override
public int compareTo(GeometricMeanState o) {
return ComparisonChain.start()
.compare(value, o.value)
.compare(n, o.n)
.result();
}
@Override
public void readFrom(StreamInput in) throws IOException {
n = in.readVLong();
value = in.readDouble();
}
@Override
public void writeTo(StreamOutput out) throws IOException {
out.writeVLong(n);
out.writeDouble(value);
}
}
public static class GeometricMeanStateType extends DataType<GeometricMeanState>
implements Streamer<GeometricMeanState>, FixedWidthType, DataTypeFactory {
public static final GeometricMeanStateType INSTANCE = new GeometricMeanStateType();
public static final int ID = 4096;
@Override
public int id() {
return ID;
}
@Override
public String getName() {
return "geometric_mean_state";
}
@Override
public Streamer<?> streamer() {
return this;
}
@Override
public GeometricMeanState value(Object value) throws IllegalArgumentException, ClassCastException {
return (GeometricMeanState) value;
}
@Override
public int compareValueTo(GeometricMeanState val1, GeometricMeanState val2) {
return val1.compareTo(val2);
}
@Override
public DataType<?> create() {
return INSTANCE;
}
@Override
public int fixedSize() {
return 40;
}
@Override
public GeometricMeanState readValueFrom(StreamInput in) throws IOException {
GeometricMeanState state = new GeometricMeanState();
state.readFrom(in);
return state;
}
@Override
public void writeValueTo(StreamOutput out, Object v) throws IOException {
GeometricMeanState state = (GeometricMeanState) v;
state.writeTo(out);
}
}
private final FunctionInfo info;
public GeometricMeanAggregation(FunctionInfo info) {
this.info = info;
}
@Nullable
@Override
public GeometricMeanState newState(RamAccountingContext ramAccountingContext) {
ramAccountingContext.addBytes(GeometricMeanStateType.INSTANCE.fixedSize());
return new GeometricMeanState();
}
@Override
public GeometricMeanState iterate(RamAccountingContext ramAccountingContext, GeometricMeanState state, Input... args) throws CircuitBreakingException {
if (state != null) {
Number value = (Number) args[0].value();
if (value != null) {
state.addValue(value.doubleValue());
}
}
return state;
}
@Override
public GeometricMeanState reduce(RamAccountingContext ramAccountingContext, GeometricMeanState state1, GeometricMeanState state2) {
if (state1 == null) {
return state2;
}
if (state2 == null) {
return state1;
}
state1.merge(state2);
return state1;
}
@Override
public Double terminatePartial(RamAccountingContext ramAccountingContext, GeometricMeanState state) {
return state.value();
}
@Override
public DataType partialType() {
return GeometricMeanStateType.INSTANCE;
}
@Override
public FunctionInfo info() {
return info;
}
}