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/*
* Licensed to Metamarkets Group Inc. (Metamarkets) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. Metamarkets 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 io.druid.query.aggregation.histogram;
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.fasterxml.jackson.annotation.JsonTypeName;
import com.google.common.primitives.Floats;
import com.google.common.primitives.Ints;
import com.metamx.common.IAE;
import com.metamx.common.StringUtils;
import io.druid.query.aggregation.Aggregator;
import io.druid.query.aggregation.AggregatorFactory;
import io.druid.query.aggregation.BufferAggregator;
import io.druid.segment.ColumnSelectorFactory;
import io.druid.segment.ObjectColumnSelector;
import java.nio.ByteBuffer;
@JsonTypeName("approxHistogramFold")
public class ApproximateHistogramFoldingAggregatorFactory extends ApproximateHistogramAggregatorFactory
{
private static final byte CACHE_TYPE_ID = 13;
@JsonCreator
public ApproximateHistogramFoldingAggregatorFactory(
@JsonProperty("name") String name,
@JsonProperty("fieldName") String fieldName,
@JsonProperty("resolution") Integer resolution,
@JsonProperty("numBuckets") Integer numBuckets,
@JsonProperty("lowerLimit") Float lowerLimit,
@JsonProperty("upperLimit") Float upperLimit
)
{
super(name, fieldName, resolution, numBuckets, lowerLimit, upperLimit);
}
@Override
public Aggregator factorize(ColumnSelectorFactory metricFactory)
{
ObjectColumnSelector selector = metricFactory.makeObjectColumnSelector(fieldName);
if (selector == null) {
// gracefully handle undefined metrics
selector = new ObjectColumnSelector()
{
@Override
public Class classOfObject()
{
return ApproximateHistogram.class;
}
@Override
public ApproximateHistogram get()
{
return new ApproximateHistogram(0);
}
};
}
final Class cls = selector.classOfObject();
if (cls.equals(Object.class) || ApproximateHistogram.class.isAssignableFrom(cls)) {
return new ApproximateHistogramFoldingAggregator(
name,
selector,
resolution,
lowerLimit,
upperLimit
);
}
throw new IAE(
"Incompatible type for metric[%s], expected a ApproximateHistogram, got a %s",
fieldName,
cls
);
}
@Override
public BufferAggregator factorizeBuffered(ColumnSelectorFactory metricFactory)
{
ObjectColumnSelector selector = metricFactory.makeObjectColumnSelector(fieldName);
if (selector == null) {
// gracefully handle undefined metrics
selector = new ObjectColumnSelector()
{
@Override
public Class classOfObject()
{
return ApproximateHistogram.class;
}
@Override
public ApproximateHistogram get()
{
return new ApproximateHistogram(0);
}
};
}
final Class cls = selector.classOfObject();
if (cls.equals(Object.class) || ApproximateHistogram.class.isAssignableFrom(cls)) {
return new ApproximateHistogramFoldingBufferAggregator(selector, resolution, lowerLimit, upperLimit);
}
throw new IAE(
"Incompatible type for metric[%s], expected a ApproximateHistogram, got a %s",
fieldName,
cls
);
}
@Override
public AggregatorFactory getCombiningFactory()
{
return new ApproximateHistogramFoldingAggregatorFactory(name, name, resolution, numBuckets, lowerLimit, upperLimit);
}
@Override
public byte[] getCacheKey()
{
byte[] fieldNameBytes = StringUtils.toUtf8(fieldName);
return ByteBuffer.allocate(1 + fieldNameBytes.length + Ints.BYTES * 2 + Floats.BYTES * 2)
.put(CACHE_TYPE_ID)
.put(fieldNameBytes)
.putInt(resolution)
.putInt(numBuckets)
.putFloat(lowerLimit)
.putFloat(upperLimit)
.array();
}
@Override
public boolean equals(Object o)
{
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
ApproximateHistogramAggregatorFactory that = (ApproximateHistogramAggregatorFactory) o;
if (Float.compare(that.lowerLimit, lowerLimit) != 0) {
return false;
}
if (numBuckets != that.numBuckets) {
return false;
}
if (resolution != that.resolution) {
return false;
}
if (Float.compare(that.upperLimit, upperLimit) != 0) {
return false;
}
if (fieldName != null ? !fieldName.equals(that.fieldName) : that.fieldName != null) {
return false;
}
if (name != null ? !name.equals(that.name) : that.name != null) {
return false;
}
return true;
}
@Override
public int hashCode()
{
int result = name != null ? name.hashCode() : 0;
result = 31 * result + (fieldName != null ? fieldName.hashCode() : 0);
result = 31 * result + resolution;
result = 31 * result + numBuckets;
result = 31 * result + (lowerLimit != +0.0f ? Float.floatToIntBits(lowerLimit) : 0);
result = 31 * result + (upperLimit != +0.0f ? Float.floatToIntBits(upperLimit) : 0);
return result;
}
@Override
public String toString()
{
return "ApproximateHistogramFoldingAggregatorFactory{" +
"name='" + name + '\'' +
", fieldName='" + fieldName + '\'' +
", resolution=" + resolution +
", numBuckets=" + numBuckets +
", lowerLimit=" + lowerLimit +
", upperLimit=" + upperLimit +
'}';
}
}
