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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF 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.apache.druid.query.aggregation.histogram;
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.fasterxml.jackson.annotation.JsonTypeName;
import org.apache.druid.java.util.common.IAE;
import org.apache.druid.query.aggregation.Aggregator;
import org.apache.druid.query.aggregation.AggregatorFactory;
import org.apache.druid.query.aggregation.AggregatorUtil;
import org.apache.druid.query.aggregation.BufferAggregator;
import org.apache.druid.query.aggregation.VectorAggregator;
import org.apache.druid.query.cache.CacheKeyBuilder;
import org.apache.druid.segment.ColumnInspector;
import org.apache.druid.segment.ColumnSelectorFactory;
import org.apache.druid.segment.ColumnValueSelector;
import org.apache.druid.segment.column.ColumnCapabilities;
import org.apache.druid.segment.column.ValueType;
import org.apache.druid.segment.vector.VectorColumnSelectorFactory;
import org.apache.druid.segment.vector.VectorObjectSelector;
import javax.annotation.Nullable;
import java.util.Objects;
@JsonTypeName("approxHistogramFold")
public class ApproximateHistogramFoldingAggregatorFactory extends ApproximateHistogramAggregatorFactory
{
@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,
@JsonProperty("finalizeAsBase64Binary") @Nullable Boolean finalizeAsBase64Binary
)
{
super(name, fieldName, resolution, numBuckets, lowerLimit, upperLimit, finalizeAsBase64Binary);
}
@Override
public Aggregator factorize(ColumnSelectorFactory metricFactory)
{
@SuppressWarnings("unchecked")
ColumnValueSelector<ApproximateHistogram> selector = metricFactory.makeColumnValueSelector(fieldName);
final Class cls = selector.classOfObject();
if (cls.equals(Object.class) || ApproximateHistogram.class.isAssignableFrom(cls)) {
return new ApproximateHistogramFoldingAggregator(
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)
{
@SuppressWarnings("unchecked")
ColumnValueSelector<ApproximateHistogram> selector = metricFactory.makeColumnValueSelector(fieldName);
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 VectorAggregator factorizeVector(VectorColumnSelectorFactory metricVectorFactory)
{
VectorObjectSelector selector = metricVectorFactory.makeObjectSelector(fieldName);
return new ApproximateHistogramFoldingVectorAggregator(selector, resolution, lowerLimit, upperLimit);
}
@Override
public boolean canVectorize(ColumnInspector columnInspector)
{
ColumnCapabilities capabilities = columnInspector.getColumnCapabilities(fieldName);
return (capabilities != null) && (capabilities.getType() == ValueType.COMPLEX);
}
@Override
public AggregatorFactory getCombiningFactory()
{
return new ApproximateHistogramFoldingAggregatorFactory(
name,
name,
resolution,
numBuckets,
lowerLimit,
upperLimit,
finalizeAsBase64Binary
);
}
@Override
public byte[] getCacheKey()
{
CacheKeyBuilder builder = new CacheKeyBuilder(AggregatorUtil.APPROX_HIST_FOLDING_CACHE_TYPE_ID)
.appendString(fieldName)
.appendInt(resolution)
.appendInt(numBuckets)
.appendFloat(lowerLimit)
.appendFloat(upperLimit)
.appendBoolean(finalizeAsBase64Binary);
return builder.build();
}
@Override
public String toString()
{
return "ApproximateHistogramFoldingAggregatorFactory{" +
"name='" + name + '\'' +
", fieldName='" + fieldName + '\'' +
", resolution=" + resolution +
", numBuckets=" + numBuckets +
", lowerLimit=" + lowerLimit +
", upperLimit=" + upperLimit +
", finalizeAsBase64Binary=" + finalizeAsBase64Binary +
'}';
}
@Override
public boolean equals(Object o)
{
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
ApproximateHistogramAggregatorFactory that = (ApproximateHistogramAggregatorFactory) o;
return resolution == that.resolution &&
numBuckets == that.numBuckets &&
Float.compare(that.lowerLimit, lowerLimit) == 0 &&
Float.compare(that.upperLimit, upperLimit) == 0 &&
finalizeAsBase64Binary == that.finalizeAsBase64Binary &&
Objects.equals(name, that.name) &&
Objects.equals(fieldName, that.fieldName);
}
@Override
public int hashCode()
{
return Objects.hash(name, fieldName, resolution, numBuckets, lowerLimit, upperLimit, finalizeAsBase64Binary);
}
}