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* 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
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*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
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package org.apache.druid.query.aggregation.histogram;
import org.apache.druid.common.config.NullHandling;
import org.apache.druid.query.aggregation.VectorAggregator;
import org.apache.druid.segment.column.ColumnCapabilities;
import org.apache.druid.segment.column.ColumnCapabilitiesImpl;
import org.apache.druid.segment.column.ValueType;
import org.apache.druid.segment.vector.VectorColumnSelectorFactory;
import org.apache.druid.segment.vector.VectorValueSelector;
import org.easymock.EasyMock;
import org.junit.Assert;
import org.junit.Before;
import org.junit.Test;
import java.nio.ByteBuffer;
import static org.easymock.EasyMock.createMock;
import static org.easymock.EasyMock.expect;
public class ApproximateHistogramVectorAggregatorTest
{
private static final float[] FLOATS = {23, 19, 10, 16, 36, 2, 9, 32, 30, 45, 33}; // Last value is never included
private static final boolean[] NULL_VECTOR =
{false, false, false, false, false, false, false, false, false, false, true};
private VectorColumnSelectorFactory vectorColumnSelectorFactory;
@Before
public void setup()
{
NullHandling.initializeForTests();
VectorValueSelector vectorValueSelector_1 = createMock(VectorValueSelector.class);
expect(vectorValueSelector_1.getFloatVector()).andReturn(FLOATS).anyTimes();
expect(vectorValueSelector_1.getNullVector()).andReturn(NULL_VECTOR).anyTimes();
VectorValueSelector vectorValueSelector_2 = createMock(VectorValueSelector.class);
expect(vectorValueSelector_2.getFloatVector()).andReturn(FLOATS).anyTimes();
expect(vectorValueSelector_2.getNullVector()).andReturn(null).anyTimes();
EasyMock.replay(vectorValueSelector_1);
EasyMock.replay(vectorValueSelector_2);
ColumnCapabilities columnCapabilities
= ColumnCapabilitiesImpl.createSimpleNumericColumnCapabilities(ValueType.DOUBLE);
vectorColumnSelectorFactory = createMock(VectorColumnSelectorFactory.class);
expect(vectorColumnSelectorFactory.getColumnCapabilities("field_1")).andReturn(columnCapabilities).anyTimes();
expect(vectorColumnSelectorFactory.makeValueSelector("field_1"))
.andReturn(vectorValueSelector_1).anyTimes();
expect(vectorColumnSelectorFactory.getColumnCapabilities("field_2")).andReturn(columnCapabilities).anyTimes();
expect(vectorColumnSelectorFactory.makeValueSelector("field_2"))
.andReturn(vectorValueSelector_2).anyTimes();
expect(vectorColumnSelectorFactory.getColumnCapabilities("string_field")).andReturn(
new ColumnCapabilitiesImpl().setType(ValueType.STRING)
);
expect(vectorColumnSelectorFactory.getColumnCapabilities("complex_field")).andReturn(
new ColumnCapabilitiesImpl().setType(ValueType.COMPLEX)
);
EasyMock.replay(vectorColumnSelectorFactory);
}
@Test
public void doNotVectorizedNonNumericTypes()
{
ApproximateHistogramAggregatorFactory factory = buildHistogramAggFactory("string_field");
Assert.assertFalse(factory.canVectorize(vectorColumnSelectorFactory));
factory = buildHistogramAggFactory("complex_field");
Assert.assertFalse(factory.canVectorize(vectorColumnSelectorFactory));
}
@Test
public void testAggregateSinglePosition()
{
ApproximateHistogramAggregatorFactory factory = buildHistogramAggFactory("field_1");
ByteBuffer byteBuffer = ByteBuffer.allocate(factory.getMaxIntermediateSizeWithNulls());
Assert.assertTrue(factory.canVectorize(vectorColumnSelectorFactory));
VectorAggregator vectorAggregator = factory.factorizeVector(vectorColumnSelectorFactory);
vectorAggregator.init(byteBuffer, 0);
vectorAggregator.aggregate(byteBuffer, 0, 0, 11);
ApproximateHistogram h = (ApproximateHistogram) vectorAggregator.get(byteBuffer, 0);
// (2, 1), (9.5, 2), (19.33, 3), (32.67, 3), (45, 1)
Assert.assertArrayEquals(new float[]{2, 9.5f, 19.33f, 32.67f, 45f}, h.positions(), 0.1f);
Assert.assertArrayEquals(new long[]{1, 2, 3, 3, 1}, h.bins());
factory = buildHistogramAggFactory("field_2");
vectorAggregator = factory.factorizeVector(vectorColumnSelectorFactory);
vectorAggregator.init(byteBuffer, 0);
vectorAggregator.aggregate(byteBuffer, 0, 0, 10);
h = (ApproximateHistogram) vectorAggregator.get(byteBuffer, 0);
Assert.assertArrayEquals(new float[]{2, 9.5f, 19.33f, 32.67f, 45f}, h.positions(), 0.1f);
Assert.assertArrayEquals(new long[]{1, 2, 3, 3, 1}, h.bins());
}
@Test
public void testAggregateMultiPositions()
{
ApproximateHistogramAggregatorFactory factory = buildHistogramAggFactory("field_2");
int size = factory.getMaxIntermediateSize();
ByteBuffer byteBuffer = ByteBuffer.allocate(size * 2);
VectorAggregator vectorAggregator = factory.factorizeVector(vectorColumnSelectorFactory);
int[] positions = new int[]{0, size};
vectorAggregator.init(byteBuffer, positions[0]);
vectorAggregator.init(byteBuffer, positions[1]);
vectorAggregator.aggregate(byteBuffer, 2, positions, null, 0);
// Put rest of 10 elements using the access indirection. Second vector gets the same element always
for (int i = 1; i < 10; i++) {
vectorAggregator.aggregate(byteBuffer, 2, positions, new int[]{i, 1}, 0);
}
ApproximateHistogram h0 = (ApproximateHistogram) vectorAggregator.get(byteBuffer, 0);
Assert.assertArrayEquals(new float[]{2, 9.5f, 19.33f, 32.67f, 45f}, h0.positions(), 0.1f);
Assert.assertArrayEquals(new long[]{1, 2, 3, 3, 1}, h0.bins());
ApproximateHistogram h2 = (ApproximateHistogram) vectorAggregator.get(byteBuffer, size);
Assert.assertArrayEquals(new float[]{19}, h2.positions(), 0.1f);
Assert.assertArrayEquals(new long[]{10}, h2.bins());
}
private ApproximateHistogramAggregatorFactory buildHistogramAggFactory(String fieldName)
{
return new ApproximateHistogramAggregatorFactory(
"approxHisto",
fieldName,
5,
5,
0.0f,
45.0f,
false
);
}
}