blob: ee7283b20a82dae3e40181f752132cccbf63038a [file] [log] [blame]
/*
* 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 org.apache.druid.query.aggregation.VectorAggregator;
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.VectorObjectSelector;
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 ApproximateHistogramFoldingVectorAggregatorTest
{
private static final float[] FLOATS = {23, 19, 10, 16, 36, 2, 9, 32, 30, 45};
private VectorColumnSelectorFactory vectorColumnSelectorFactory;
private ApproximateHistogram h1;
private ApproximateHistogram h2;
@Before
public void setup()
{
h1 = new ApproximateHistogram(5);
h2 = new ApproximateHistogram(5);
for (int i = 0; i < 5; ++i) {
h1.offer(FLOATS[i]);
}
for (int i = 5; i < FLOATS.length; ++i) {
h2.offer(FLOATS[i]);
}
VectorObjectSelector vectorObjectSelector = createMock(VectorObjectSelector.class);
expect(vectorObjectSelector.getObjectVector()).andReturn(new Object[]{h1, null, h2, null}).anyTimes();
EasyMock.replay(vectorObjectSelector);
vectorColumnSelectorFactory = createMock(VectorColumnSelectorFactory.class);
expect(vectorColumnSelectorFactory.makeObjectSelector("field"))
.andReturn(vectorObjectSelector).anyTimes();
expect(vectorColumnSelectorFactory.getColumnCapabilities("field")).andReturn(
new ColumnCapabilitiesImpl().setType(ValueType.COMPLEX)
);
expect(vectorColumnSelectorFactory.getColumnCapabilities("string_field")).andReturn(
new ColumnCapabilitiesImpl().setType(ValueType.STRING)
);
expect(vectorColumnSelectorFactory.getColumnCapabilities("double_field")).andReturn(
new ColumnCapabilitiesImpl().setType(ValueType.STRING)
);
EasyMock.replay(vectorColumnSelectorFactory);
}
@Test
public void doNotVectorizedNonComplexTypes()
{
ApproximateHistogramFoldingAggregatorFactory factory = buildHistogramFactory("string_field");
Assert.assertFalse(factory.canVectorize(vectorColumnSelectorFactory));
factory = buildHistogramFactory("double_field");
Assert.assertFalse(factory.canVectorize(vectorColumnSelectorFactory));
}
@Test
public void testAggregateSinglePosition()
{
ApproximateHistogramFoldingAggregatorFactory factory = buildHistogramFactory();
ByteBuffer byteBuffer = ByteBuffer.allocate(factory.getMaxIntermediateSize());
Assert.assertTrue(factory.canVectorize(vectorColumnSelectorFactory));
VectorAggregator vectorAggregator = factory.factorizeVector(vectorColumnSelectorFactory);
vectorAggregator.init(byteBuffer, 0);
vectorAggregator.aggregate(byteBuffer, 0, 0, 4);
ApproximateHistogram h = (ApproximateHistogram) vectorAggregator.get(byteBuffer, 0);
Assert.assertArrayEquals(new float[]{19.6f, 45.0f}, h.positions(), 0.1f);
Assert.assertArrayEquals(new long[]{9, 1}, h.bins());
Assert.assertEquals(10, h.count());
Assert.assertEquals(2.0f, h.min(), 0.1f);
Assert.assertEquals(45.0f, h.max(), 0.1f);
}
@Test
public void testAggregateMultiPositions()
{
ApproximateHistogramFoldingAggregatorFactory factory = buildHistogramFactory();
ByteBuffer byteBuffer = ByteBuffer.allocate(factory.getMaxIntermediateSize() * 2);
int[] positions = new int[]{0, factory.getMaxIntermediateSize()};
VectorAggregator vectorAggregator = factory.factorizeVector(vectorColumnSelectorFactory);
vectorAggregator.init(byteBuffer, 0);
vectorAggregator.init(byteBuffer, positions[1]);
vectorAggregator.aggregate(byteBuffer, 2, positions, null, 0);
vectorAggregator.aggregate(byteBuffer, 2, positions, new int[]{1, 2}, 0); // indirection
ApproximateHistogram actualH1 = (ApproximateHistogram) vectorAggregator.get(byteBuffer, 0);
ApproximateHistogram actualH2 = (ApproximateHistogram) vectorAggregator.get(byteBuffer, positions[1]);
Assert.assertEquals(actualH1, h1);
Assert.assertEquals(actualH2, h2);
}
private ApproximateHistogramFoldingAggregatorFactory buildHistogramFactory()
{
return buildHistogramFactory("field");
}
private ApproximateHistogramFoldingAggregatorFactory buildHistogramFactory(String fieldName)
{
return new ApproximateHistogramFoldingAggregatorFactory(
"approximateHistoFold",
fieldName,
5,
5,
0f,
50.0f,
false
);
}
}