io.druid.query.aggregation.histogram.ApproximateHistogramFoldingSerde Maven / Gradle / Ivy
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* 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
*
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package io.druid.query.aggregation.histogram;
import com.google.common.collect.Ordering;
import io.druid.data.input.InputRow;
import io.druid.segment.writeout.SegmentWriteOutMedium;
import io.druid.segment.GenericColumnSerializer;
import io.druid.segment.column.ColumnBuilder;
import io.druid.segment.data.GenericIndexed;
import io.druid.segment.data.ObjectStrategy;
import io.druid.segment.serde.ComplexColumnPartSupplier;
import io.druid.segment.serde.ComplexMetricExtractor;
import io.druid.segment.serde.ComplexMetricSerde;
import io.druid.segment.serde.LargeColumnSupportedComplexColumnSerializer;
import java.nio.ByteBuffer;
import java.util.Iterator;
import java.util.List;
public class ApproximateHistogramFoldingSerde extends ComplexMetricSerde
{
private static Ordering comparator = new Ordering()
{
@Override
public int compare(
ApproximateHistogram arg1, ApproximateHistogram arg2
)
{
return ApproximateHistogramAggregator.COMPARATOR.compare(arg1, arg2);
}
}.nullsFirst();
@Override
public String getTypeName()
{
return "approximateHistogram";
}
@Override
public ComplexMetricExtractor getExtractor()
{
return new ComplexMetricExtractor()
{
@Override
public Class extractedClass()
{
return ApproximateHistogram.class;
}
@Override
public ApproximateHistogram extractValue(InputRow inputRow, String metricName)
{
Object rawValue = inputRow.getRaw(metricName);
if (rawValue instanceof ApproximateHistogram) {
return (ApproximateHistogram) rawValue;
} else {
List dimValues = inputRow.getDimension(metricName);
if (dimValues != null && dimValues.size() > 0) {
Iterator values = dimValues.iterator();
ApproximateHistogram h = new ApproximateHistogram();
while (values.hasNext()) {
float value = Float.parseFloat(values.next());
h.offer(value);
}
return h;
} else {
return new ApproximateHistogram(0);
}
}
}
};
}
@Override
public void deserializeColumn(
ByteBuffer byteBuffer, ColumnBuilder columnBuilder
)
{
final GenericIndexed column = GenericIndexed.read(byteBuffer, getObjectStrategy(), columnBuilder.getFileMapper());
columnBuilder.setComplexColumn(new ComplexColumnPartSupplier(getTypeName(), column));
}
@Override
public GenericColumnSerializer getSerializer(SegmentWriteOutMedium segmentWriteOutMedium, String column)
{
return LargeColumnSupportedComplexColumnSerializer.create(segmentWriteOutMedium, column, this.getObjectStrategy());
}
@Override
public ObjectStrategy getObjectStrategy()
{
return new ObjectStrategy()
{
@Override
public Class extends ApproximateHistogram> getClazz()
{
return ApproximateHistogram.class;
}
@Override
public ApproximateHistogram fromByteBuffer(ByteBuffer buffer, int numBytes)
{
buffer.limit(buffer.position() + numBytes);
return ApproximateHistogram.fromBytes(buffer);
}
@Override
public byte[] toBytes(ApproximateHistogram h)
{
if (h == null) {
return new byte[]{};
}
return h.toBytes();
}
@Override
public int compare(ApproximateHistogram o1, ApproximateHistogram o2)
{
return comparator.compare(o1, o2);
}
};
}
}
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